Monthly Archives: November 2019

Urinary Prothrombin Fragment 1 + 2 as an Endogenous Marker of Venous Thromboembolism

Abstract

Hypercoagulability may lead to Venous Thromboembolism (VTE) which is a common and potentially fatal disease. The symptoms of VTE are often non-specific and imaging is needed to confirm the diagnosis. Clinical probability models together with a D-dimer test are used to reduce the number of unnecessary radiological procedures. Numerous assays to detect thrombin generation have been developed where D-dimer measured in plasma is regarded as the pretest gold standard. The aim of this manuscript is to outline the present knowledge of using urinary prothrombin fragment 1 + 2 (F1 + 2) as a marker to determine coagulation activation in patients at risk of Deep Vein Thrombosis (DVT) or Pulmonary Embolism (PE). Papers were identified by searching PubMed for studies in which F1 + 2 were measured in urine to determine coagulation activity in patients at risk of venous thromboembolism. Urinary F1 + 2 levels can be used to identify patients at risk of VTE after hip and knee replacement surgery. Further, it reflects thrombin generation in patients with imaging verified DVT. However, in patients with imaging verified PE, the F1 + 2 levels were not increased compared to those without PE. Compared to D-dimer and F1 + 2 measured in plasma, urinary F1 + 2 was inferior at discriminating VTE. Contrary to the mentioned results, in one study on patients undergoing total hip arthroplasty, urinary F1 + 2 did not reflect post-operative coagulation activation. Urine may be an attractive substrate to detect ongoing coagulation activation. However, tests specifically meant for urine analyses must be further developed.

Keywords

Venous thromboembolism, Prothrombin Fragment 1 + 2, Urine

Introduction

The major pathological determinants for venous thrombosis formation were postulated by Rudolph Virchow in 1856 and are known as Virchow`s triad. These factors include vessel wall damage, alterations of blood flow with stasis and abnormalities in platelet, coagulation and fibrinolytic pathways [1]. Venous thromboembolism (VTE), a common and potentially fatal disease which is mainly caused by hypercoagulability, can manifest as deep vein thrombosis (DVT) or pulmonary embolism (PE) [2,3]. Venous thrombi most often occur in the deep leg veins at sites of pathological blood flow or venous stasis, in areas of endothelial damage and in valve pockets [4]. If a clot originates in or propagates to the popliteal vein or more proximal veins, there is an increased risk of embolization to the pulmonary arteries with subsequent variable degrees of obstruction [3].

The precise incidence of VTE is unknown but it is estimated that it affects between 1 and 2 per 1000 of the population annually in the U.S. and that one third of these patients are diagnosed with PE [5]. In 2007, Cohen et al. estimated the number of non-fatal symptomatic VTE events and VTE related deaths in the European Union to be 684,019 DVT events, 434,723 PEs and 543,545 VTE related deaths in a total population of 454.4 million [6]. Venous thromboembolism is a rare condition in children younger than 15 years [7,8]. The incidence of DVT and PE increases with age. For those 65–69 years of age, the incidence per 1000 person years is 1.8. This increases to 3.1 per 1000 person years for those aged 85–89 years [9]. Due to increased use of sensitive imaging techniques which can detect smaller and often insignificant pulmonary emboli, the hospital admissions for this disease have doubled over the last decades [10].

Clinical signs and symptoms of VTE may be obscure. Calf pain, swelling, heat and tenderness are clinical signs of DVT while PE patients may present with dyspnea, chest pain, hemoptysis, hypotension and tachycardia [3]. However, the symptoms are non-specific and DVT can resemble, for example, cellulitis and PE may be indistinguishable from myocardial infarction [10]. Due to the non-specific symptoms, imaging is needed to confirm the diagnosis of DVT or PE. Compression Ultrasonography (CUS) has high diagnostic accuracy for DVT [11]. Computer Tomography (CT) and Magnetic Resonance Imaging (MRI) are alternative or complementary DVT modalities with accuracy similar to that of CUS [12,13]. The reference modality for PE diagnosis is CT angiography [14]. Ventilation-perfusion lung scanning combined with chest X-ray is an alternative in patients who cannot undergo CT angiography such as pregnant women [15]. In order to reduce the number of negative imaging investigations, models based on clinical signs and patient history have been developed to categorize the probability that a patient has VTE before a confirmatory test is performed. In those patients with an unlikely clinical probability and a negative D-dimer test, thrombosis can be excluded without additional imaging [16–18]. Over the years numerous thrombin generation biomarker tests have been developed as VTE pretests including prothrombin fragment 1 + 2 (F1 + 2), thrombin-antithrombin complex (TAT) and D-dimer levels measured in plasma. Tests such as thrombin generation, procoagulant phospholipid-dependent clotting time and soluble P-selectin are currently used in research to identify prothrombotic risk [19]. The aim of this manuscript is to outline the present knowledge related to the use of urine as a substrate to determine coagulation activity in patients with clinical risk of DVT and PE.

Methods

PubMed was searched using the terms prothrombin fragment 1 + 2, urine prothrombin fragment 1 + 2 and coagulation activation detection in urine. The resulting manuscripts that related to patients with risk of DVT or PE or both were selected for a manual review.

Prothrombin fragment 1 + 2

Prothrombin fragment 1 + 2 is a non-thrombotic polypeptide which is cleaved from prothrombin during its conversion to thrombin. F1 + 2 is released into the blood stream where it has half-life of approximately 90 minutes [20, 21]. Due to the low molecular weight of F1 + 2 (~31 kDa) it is excreted in the urine where it can be detected by Enzyme-Linked Immuno-Sorbent Assay (ELISA) [22,23].

Results of the Clinical Trials on Urinary F1 + 2 Measurement in Various Studies

Prothrombin fragments have been detected in urine for many years and been shown to correlate with clinical symptoms of coagulation system activation [23,24].

Prothrombin fragment 1 + 2 in urine as an indicator of sustained coagulation activation after total hip arthroplasty [25]

Patients undergoing Total Hip Arthroplasty (THA) were followed post-surgery to document the occurrence of Vascular Thrombotic Complication (VTC) events and deaths. Pre- and postoperative levels of urine F1 + 2 were measured. Increased urine levels of F1 + 2 were observed immediately after the surgery and reached a peak level on postoperative day 3 before decreasing toward day 7 and normalizing at follow-up on day 35±5. A Receiver Operator Characteristic (ROC) curve with Area under the Curve (AUC) of urinary F1 + 2 levels performed on postoperative day 5 showed that F1 + 2 levels in urine could accurately discriminate patients with and without increased risk of developing a VTC. Levels of F1 + 2 in urine were significantly higher in patients who developed a VTC or death compared to the event-free patients.

Differences in urinary prothrombin fragment 1 + 2 levels after total hip replacement in relation to venous thromboembolism and bleeding events [26]

 This study assessed whether urinary F1 + 2 measurements could be useful in identifying the risk of VTE or bleeding events in patients undergoing Total Hip Replacement (THR) surgery. Significantly higher levels of urinary F1 + 2 were observed on post-operative day 3 in the VTE group compared to the event-free patients. At the same time the urine levels of F1 + 2 in the bleeding group were significantly lower than in the event-free group. Finally, the urinary F1 + 2 levels were significantly higher on day 3 in the patients with VTE compared to those with bleeding events.

Urinary prothrombin fragment 1 + 2 in relation to development of non-symptomatic and symptomatic venous thromboembolic events following total knee replacement [27]

Urinary F1 + 2 were measured on consecutive days in patients undergoing Total Knee Replacement (TKR) surgery. Bilateral venography was performed postoperatively (day 5–9) and about half of the patients (140 of 282 patients) were diagnosed with a VTE. Compared to the event free patients, those diagnosed with VTE had significantly higher levels of urinary F1 + 2.

Thrombin split products (prothrombin fragment 1 + 2) in urine in patients with suspected deep vein thrombosis admitted for radiological verification [28]

This study evaluated urine F1 + 2 levels in patients with suspected DVT referred for radiological verification. Patients with imaging-verified DVT (CUS supplemented with unilateral venography when inconclusive) had significantly higher urinary F1 + 2 levels compared to those without, both in patients with, and without, known comorbidities. Although not statistically significant, levels of urine F1 + 2 were higher in patients with DVT symptoms of more than one week compared to those with shorter symptom duration.

Prothrombin fragment 1 + 2 in urine as a marker on coagulation activity in patients with suspected pulmonary embolism [29]

A study which measured prothromin fragment 1 + 2 levels in urine from non-selected patients with suspected PE referred for imaging confirmation with contrast enhanced CT pulmonary angiography. Patients with imaging-verified PE had increased, however, not statistically significant, levels of urinary F1 + 2 compared to the PE negative patients. Patients with high embolic burden, i.e. pulmonary artery obstruction index (PAOI) ≥ 25%, had two-fold higher, however not significant, levels of urinary levels of F1 + 2 compared to those with a lower burden.

D-dimer and prothrombin fragment 1 + 2 in urine and plasma in patients with clinically suspected venous thromboembolism [30]

D-dimer and F1 + 2 levels measured in plasma and urine from patients with suspected VTE were significantly higher in those with imaging confirmed VTE compared to those without. In addition, there was a significant and positive correlation between D-dimer and F1 + 2 levels in plasma and between F1 + 2 in plasma and urine. D-dimer had better predictive value for VTE than plasma F1 + 2 followed by urinary F1 + 2 and there was no overlap in the ROC curves. There was a large variation of F1 + 2 levels between the plasma and urine samples with about 10-fold higher levels in plasma.

Thrombin generation in patients with suspected venous thromboembolism  [31]

Patients with imaging confirmed VTE had markedly higher levels of D-dimer, plasma F1 + 2 and urine F1 + 2 compared to VTE negative patients. Similar findings were observed for the ex vivo measured Lagtime (LT) and Time to Peak (TTP) derived from a thrombin generation assay. There were similar associations between plasma and urine F1 + 2 and patient characteristics and the measured ex vivo biomarkers.

Prothrombin fragment F1 + 2 in plasma and urine during total hip arthroplasty [32]

A study evaluating peri-operative levels of plasma and urinary F1 + 2 in patients undergoing THA was performed. None of the included patients had VTE or serious bleeding events. Plasma and urine F1 + 2 levels were significantly increased post-operatively with normalization of plasma levels on post-operative day 1 while urine levels remained significantly increased. There was a poor statistical correlation between F1 + 2 levels in plasma and urine.

Discussion

Studies using urine as the matrix to determine or monitor the extent of coagulation activation are rather limited compared to the number of studies performed on plasma biomarkers. A study in 2007 indicated that urine can be used to monitor the postoperative coagulation activity after THA surgery and to identify in which patients thromboprophylaxis can be discontinued after the first week [25]. The following year a publication on VTE and bleeding events after THR surgery stated that measurement of urinary F1 + 2 could discriminate patients at risk of a VTE or major or clinically relevant, non-major bleeding [26]. In 2011 a study on TKR surgery patients found considerably higher urinary F1 + 2 levels in these patients compared to the previous THR study and the authors indicated that this was due to a more intense coagulation activation after TKR than THR surgery, probably due to more bone and soft tissue trauma [25,27]. Further, they concluded that by measuring F1 + 2 in urine it was possible to identify those patients in need of continued thromboprophylaxis due to persistent coagulation activation [27]. In a study on patients with clinically suspected DVT it was shown that measurement of urinary F1 + 2 had the potential to reflect thrombin generation in DVT positive patients and that a DVT per se was responsible for this increase in patients without known comorbidities. However, underlying procoagulant conditions tend to mask the thrombin formation caused by a DVT. The urinary F1 + 2 levels in the DVT positive patients showed a tendency to vary through the pathophysiological course of thrombus formation [28]. Pulmonary embolism, in contrast to a DVT, did not significantly increase the levels of F1 + 2 in the urine. A possible explanation for this observation was the vast number of underlying procoagulant conditions in the PE population that might have contributed to increased urine F1 + 2 baselines level and thus masked the additive coagulation event. In addition, with a short half-life, F1 + 2 was likely measurable at the time of initial clot formation but had cleared by the time the clot embolized. Although insignificant, a high embolic burden increased measured urine F1 + 2 levels indicating that thrombus burden did impact detected prothrombin fragment levels [29].

Compared to the gold-standard of biomarker pre-tests which is currently D-dimer, plasma F1 + 2 showed inferior ability to discriminate a VTE followed by F1 + 2 in urine. The F1 + 2 concentrations in urine were substantially lower compared to plasma, which might be due to urine dilution of F1 + 2 or chemical and bacterial differences that decreased the ELISA kit sensitivity on the urine samples [30]. Urinary F1 + 2 levels reflected procoagulant conditions in the same manner as F1 + 2 in plasma and had similar association with measured ex vivo biomarkers. However, urinary F1 + 2 levels did not exhibit identical analytic sensitivity [31].

Contrary to the previous studies, a study on THR surgery patients published in 2017 showed increased post-operative levels of F1 + 2 in plasma and urine, however, the correlation was poor and urinary F1 + 2 levels did not reflect coagulation activation post-operatively [32]. Thrombin measurements in urine have been reported for the diagnosis of crescenting glomerulonephritis [33]. Increased thrombin levels as measured by using amidolytic methods were associated with fibrin deposits in the kidney and other associated pathologic manifestations. Other biomarkers of thrombin generation including fibrin monomers, TAT and protein C cleavage peptide have been measured in plasma and may be of interest for urinary measurements [34]. Additionally, fibrinopeptide B measured in urine has shown promising results to identify patients at risk of VTE [35].

Conclusion

The levels of F1 + 2 in plasma were about 10-fold higher than corresponding urinary levels and plasma F1 + 2 clearly had superior ability to determine whether or not a DVT or PE was present. Measurements of F1 + 2 in urine was performed using ELISA kits designed for plasma analyses and the reason for its inferior performance may be that the sensitivity of the tests used is too low. However, we believe that with further development urine may be an attractive substrate to detect and determine ongoing coagulation.

References

  1. Virchow R (1856) Gesammelte Abhandlungen zur Wissenschaftlichen Medizin. Meidinger; Frankfurt.
  2. López JA, Kearon C, Lee AY (2004) Deep venous thrombosis. Hematology Am Soc Hematol Educ Program 2004: 439–456. [crossref]
  3. Tapson VF (2008) Acute pulmonary embolism. N Engl J Med 358: 1037–1052. [crossref]
  4. Nicolaides AN, Kakkar VV, Field ES, Renney JT (1971) The origin of deep vein thrombosis: a venographic study. Br J Radiol 44: 653–663. [crossref]
  5. Beckman MG, Hooper WC, Critchley SE, Ortel TL (2010) Venous thromboembolism: a public health concern. American journal of preventive medicine 38: 495–501.
  6. Cohen AT, Agnelli G, Anderson FA, Arcelus JI, Bergqvist D, et al. (2007) Venous thromboembolism (VTE) in Europe. The number of VTE events and associated morbidity and mortality. Thrombosis and haemostasis. 98: 756–764.
  7. Heit JA, Silverstein MD, Mohr DN, Petterson TM, Lohse CM, et al. (2001) The epidemiology of venous thromboembolism in the community. Thromb Haemost 86: 452–463. [crossref]
  8. Stein PD, Patel KC, Kalra NK, El Baage TY, Savarapu P, et al. (2002) Deep venous thrombosis in a general hospital. Chest 122: 960–962.
  9. Kniffin WD Jr, Baron JA, Barrett J, Birkmeyer JD, Anderson FA Jr (1994) The epidemiology of diagnosed pulmonary embolism and deep venous thrombosis in the elderly. Archives of internal medicine 154: 861–866.
  10. Tritschler T, Kraaijpoel N, Le Gal G, Wells PS (2018) Venous Thromboembolism: Advances in Diagnosis and Treatment. Jama 320: 1583–1594.
  11. Goodacre S, Sampson F, Thomas S, van Beek E, Sutton A (2005) Systematic review and meta-analysis of the diagnostic accuracy of ultrasonography for deep vein thrombosis. BMC medical imaging 5: 6.
  12. Sampson FC, Goodacre SW, Thomas SM, van Beek EJ (2007) The accuracy of MRI in diagnosis of suspected deep vein thrombosis: systematic review and meta-analysis. European radiology 17: 175–181.
  13. Thomas SM, Goodacre SW, Sampson FC, van Beek EJ (2008) Diagnostic value of CT for deep vein thrombosis: results of a systematic review and meta-analysis. Clinical radiology 63: 299–304.
  14. van Beek EJ, Brouwerst EM, Song B, Stein PD, Oudkerk M (2001) Clinical validity of a normal pulmonary angiogram in patients with suspected pulmonary embolism–a critical review. Clin Radiol 56: 838–842. [crossref]
  15. Sostman HD, Miniati M, Gottschalk A, Matta F, Stein PD, et al. (2008) Sensitivity and specificity of perfusion scintigraphy combined with chest radiography for acute pulmonary embolism in PIOPED II. Journal of nuclear medicine : official publication, Society of Nuclear Medicine 49: 1741–1748.
  16. van der Hulle T, Dronkers CE, Klok FA, Huisman MV (2016) Recent developments in the diagnosis and treatment of pulmonary embolism. Journal of internal medicine 279: 16–29.
  17. Wells PS, Anderson DR, Bormanis J, Guy F, Mitchell M, et al. (1997) Value of assessment of pretest probability of deep-vein thrombosis in clinical management. Lancet (London, England) 350: 1795–1798.
  18. Wells PS, Anderson DR, Rodger M, Forgie M, Kearon C, et al. (2003) Evaluation of D-dimer in the diagnosis of suspected deep-vein thrombosis. N Engl J Med 349: 1227–1235. [crossref]
  19. Riva N, Vella K, Hickey K, Bertu L, Zammit D, Spiteri S, et al. (2018) Biomarkers for the diagnosis of venous thromboembolism: D-dimer, thrombin generation, procoagulant phospholipid and soluble P-selectin. Journal of clinical pathology 71: 1015–1022.
  20. Lippi G, Cervellin G, Franchini M, Favaloro EJ (2010) Biochemical markers for the diagnosis of venous thromboembolism: the past, present and future. Journal of thrombosis and thrombolysis 30: 459–471.
  21. Páramo JA, Orbe J, Beloqui O, Benito A, Colina I, et al. (2004) Prothrombin fragment 1+2 is associated with carotid intima-media thickness in subjects free of clinical cardiovascular disease. Stroke 35: 1085–1089. [crossref
  22. Lau HK, Rosenberg JS, Beeler DL, Rosenberg RD (1979) The isolation and characterization of a specific antibody population directed against the prothrombin activation fragments F2 and F1 + 2. J Biol Chem 254: 8751–8761. [crossref
  23. Lind SE, Goldshteyn S, Barry CP, Lindquist JR, Piergies AA, et al. (1999) Assessment of coagulation system activation using spot urine measurements. Blood coagulation & fibrinolysis: an international journal in haemostasis and thrombosis 10: 285–289.
  24. Bezeaud A, Aronson DL, Menache D, Guillin MC (1978) Identification of a prothrombin derivative in human urine. Thromb Res 13: 551–556. [crossref]
  25. Borris LC, Breindahl M, Ryge C, Sommer HM, Lassen MR; uF1+2 study group (2007) Prothrombin fragment 1+2 in urine as an indicator of sustained coagulation activation after total hip arthroplasty. Thromb Res 121: 369–376. [crossref]
  26. Borris LC, Breindahl M, Lassen MR, Pap AF, Misselwitz F (2008) Differences in urinary prothrombin fragment 1 + 2 levels after total hip replacement in relation to venous thromboembolism and bleeding events. Journal of thrombosis and haemostasis: JTH 6: 1671–1679.
  27. Borris LC, Breindahl M, Lassen MR, Pap AF (2011) Urinary Prothrombin Fragment 1+2 in relation to Development of Non-Symptomatic and Symptomatic Venous Thromboembolic Events following Total Knee Replacement. Thrombosis 201: 150750.
  28. Wexels F, Haslund A, Dahl OE, Pripp AH, Gudmundsen TE, et al. (2013) Thrombin split products (prothrombin fragment 1 + 2) in urine in patients with suspected deep vein thrombosis admitted for radiological verification. Thromb Res 131: 560–563. [crossref]
  29. Wexels F, Dahl OE, Pripp AH, Seljeflot I, Borris LC, et al. (2014) Prothrombin fragment 1+2 in urine as a marker on coagulation activity in patients with suspected pulmonary embolism. Thrombosis research 134: 68–71.
  30. Wexels F, Seljeflot I, Pripp AH, Dahl OE (2016) D-Dimer and prothrombin fragment 1 + 2 in urine and plasma in patients with clinically suspected venous thromboembolism. Blood coagulation & fibrinolysis : an international journal in haemostasis and thrombosis 27: 396–400.
  31. Wexels F, Dahl OE, Pripp AH, Seljeflot I (2017) Thrombin Generation in Patients With Suspected Venous Thromboembolism. Clinical and applied thrombosis/hemostasis: official journal of the International Academy of Clinical and Applied Thrombosis/Hemostasis 23: 416–421.
  32. Borgen PO, Reikeras O (2017) Prothrombin fragment F1+2 in plasma and urine during total hip arthroplasty. Journal of orthopaedics 14: 475–479.
  33. Kitamoto Y, Arizono K, Fukui H, Tomita K, Kitamura H, et al. (2015) Urinary thrombin: a novel marker of glomerular inflammation for the diagnosis of crescentic glomerulonephritis (prospective observational study). PloS one 10: 0118704.
  34. Boisclair MD, Lane DA, Wilde JT, Ireland H, Preston FE, et al. (1990) A comparative evaluation of assays for markers of activated coagulation and/or fibrinolysis: thrombin-antithrombin complex, D-dimer and fibrinogen/fibrin fragment E antigen. British journal of haematology 74: 471–479.
  35. Morris TA, Marsh JJ, Burrows CM, Chiles PG, Konopka RG, et al. (2003) Urine and plasma levels of fibrinopeptide B in patients with deep vein thrombosis and pulmonary embolism. Thrombosis research 110: 159–165.

The Fatal Consequences of a Priori in the Natural Sciences, to be Replaced by Facts

The conception of the universe through the ages

Let us first speak, in Astronomy, of the original conception of the Universe, based on appearances. Every man, sailing on the sea, far from the coast, in good weather, sees the sky horizontally, in all directions, and vertically. He speaks of “celestial vault,’’ an apparent sphere on which, by clear night, moves, together with the stars “carried” by it. That was what was described by Aristotle in his “De Coelo”. Four centuries later, the astronomer Claude Ptolémée, in his work “L’Almageste”, reporting on measurements of the positions of known planets he had compiled, consecrated the philosophical theory of Aristotle as a scientific theory, which were taught in Christian universities in the Middle Ages. However, in the 3rd century BC, Aristarchus of Samos, adopting also the existence of the sphere of the fixed stars, postulated that the sun was the center. There were then, in the time of Ancient Greece and Rome, two philosophical schools, which agreed on the existence of this sphere carrying the fixed stars, but opposed on which star was at the center, either the Earth or the sun. This quarrel would re-emerge in the midst of Christianity in the Middle Ages. Copernicus, canon and astronomer, wondering about the irregular orbits described by the planets around the Earth, completed the calculations of the positions of the planets of Ptolemy and “demonstrated” that they revolved around the sun; he, however, attributed to them, by his approximate calculations of their distance from the sun, circular orbits which Kepler soon showed to be ellipses whose sun was a focus. Copernicus reported his theory in the work “De Revolutionibus Orbium Caelestium”, published in 1543, which was sent after his death, by his friend Osiander, to Pope Paul III.

In his Preface, Copernicus, applying to the Earth the status of a planet, affirmed without proving that it revolved around the sun, and that, therefore, it was the sun that was the center of the world, quoting Trismegistus. who called the sun “visible god”. Pope Paul III and his successors did not react. Tycho Brahé, astronomer of the king of Denmark, made at this time many measurements of the position and distance of the planets in the solar system, that Kepler would use and supplement by the particular study of Mars, which would lead him to formulate his three Laws in “Astronomia Nova” and “Harmonices Mundi”. Tycho Brahé had just remarked that the apparent position of the sun and the planets, seen from the Earth, remained the same whether the sun revolved around the Earth or vice versa. But the temptation to consider the Earth as any other planet was too strong and Kepler adopted the Copernicus hypothesis.

Then came Galileo. The latter, a teacher at the University of Padua and persuaded of his success in astronomy, affirmed himself high and strong Copernican.

The Church then reacted by the decree of 1616, which condemned two Copernican propositions:

  1. The sun is the center of the world, and
  2. The Earth is not the center of the world and moves.

Despite this condemnation, Galileo wrote “Il Dialogo” which will have him condemned in 1633, by the Holy Office.

The first proposition of Galileo: “The sun is the center of the world and it is absolutely deprived of local movement”, was also condemned by the Tribunal of the Holy Office in the following terms: “it is absurd and false in philosophy and formally heretical as contrary to the Holy Scriptures “.

The second proposition: “The earth is not the center of the world and it moves not only in space but also diurnal movement on itself”, was also considered “absurd and false in philosophy and (to) be theologically considered at least erroneous in faith “.

Galileo did not demonstrate that the sun was the center of the world. But the condemnation of the second proposition results from the influence of Aristotle within the Church.

This condemnation created reactions among philosophers.

To start with, the “Discourse on the Method” of Descartes (1637), considered that a complete mathematization of science, made science no longer rest on facts, but first on clear and distinct ideas, making reason the natural light, hence the “philosophy of enlightenment”. This will not be without consequences on the other scientific disciplines, as we will see in geology, because rationalism reverses scientific reasoning, when, instead of relying on the observed and experienced facts from which hypotheses are induced, it privileges the a priori of reason as its foundation: principles, postulates, laws …, and retains only the facts, sometimes misinterpreted, which comfort them. Thus, from Descartes to Hegel, the rationalisms developed, first against the Church, as Voltaire is the example, then against the monarchy, in France, where the Revolution generated the terror of Robespierre and the wars of Napoleon.

Astronomy

In 1958, the journal of the Ecole Polytechnique published an article by Maurice Allais, X31, Nobel Prize in Economics, who was interested in gravimetry by making pendular experiments, showing that, besides the FOUCAULT effect, the result of the diurnal rotation of the Earth, an azimuthal displacement was manifested. In addition, pendulous experiments initiated by Maurice ALLAIS during solar eclipses also revealed an azimuthal displacement of the pendulum. This, according to Maurice ALLAIS questioned the law of Newton, which led me to read the book of Newton, the “Principia Mathematica”,  published in 1687, where he expressed his laws.

In his work, he writes in his PROPOSITION VI, page 82: “That the fall of the grave, takes place in equal times while ignoring, at least, the delay caused by a very weak existence of the air, others than me have observed it for a long time”. Newton then formulates new laws of motion.

Law 1: “All bodies persevere in their state of rest or of uniform movement, unless imprinted forces compel them to change”. This law does not define the effect of gravitation.

Law 2: “The change of movement is proportional to the imprinted motive force, and is affected along the line in which this force is imprinted”. The imprinted force is the weight, therefore proportional to the mass of each body, which does not correspond to the gravitation which imprints the fall of the grave in equal times.

Law 3: “The reaction is always contrary and equal to the action”. Newton refers to other actions than gravitation, such as pressure or pull or shock on another body, and a horse pulling a stone attached, forgetting the case where the galloping horse, drives the stone, in which case the action of the horse is not equal to the reaction of the stone. These examples are all alien to the action of gravitation, of which the only law, recalled by Newton, is expressed in Proposition VI.

This puts into question the reciprocal attraction between two orbital stars F = F ‘= G

 M M ´´

D² ,  where F and F ´´ express the mutual force of attraction, M and M ´´ the masses of the bodies, D their distance, and G a constant. It is this reciprocity that has determined the calculation of the masses of the sun and the planets. In February 2014, the Royal Society brought together the main specialists measuring the G constant, on the theme: “The Newtonian constant of gravitation, a constant too difficult to measure”, whose differences ranging from 6,672 to 6,676. Is the constant, constant or not?

Let us add that at present, we know the effect of gravitation, but not the cause.

I therefore concluded an experimental gravitation contract with the Royal Observatory of Belgium, directed by Professor Michel van Ruymbeke [1] .

GEMS-19-102_Kate Mariana_F

The experiment consists in subjecting a vertical pendulum to the attraction of masses of the same volume, copper, aluminum, Plexiglas, nonmagnetic, and magnetic iron, mounted on a pulley. The result of the measurements shows that the attraction does not depend on the material used, magnetic or not, but only on the attractive mass. The second experiment will consist in checking the Earth’s screen effect on solar attraction, measured by a pendulum, exposed or not to this attraction, according to the terrestrial rotation.

The other question concerns the interferometric experiments of Michelson (in 1881), Michelson and Morley (1887) and Morley-Miller (1902–1905) which did not evidence the speed of the Earth of 30 km/s in the ether which was supposed to be immobile. These results plunged the physicists into an enormous embarrassment, and led Einstein to state the two postulates of his special relativity in 1905. Such a theory was by no means necessary. The failure of these experiments implied that of the immobile ether hypothesis. It had to be admitted that the speed of the ether on the earth’s surface was, according to the interferometric experiments carried out to date, either null according to most of them, or weak according to Miller, as had justified Maurice Allais. Let’s come to the Big Bang. This is based on the fact that the spectrum of light emitted by distant galaxies has a red shift. Based on the Doppler effect, which is the apparent frequency variation of the sound of a whistle of a train that crosses the observer (higher as it gets closer, lower when it moves away), and in applying it to light, it has been shown that galaxies recede. In 1928, Hubble will formulate his law v = Hr, where v is the speed of recession of the galaxy, r its distance, H a constant. Georges Lemaitre then made the thesis of a recess of galaxies from a single explosion, called the Big Bang. This is not demonstrated with facts. But we can, with facts, explain the phenomenon differently. The sun is yellow at the zenith, red-orange at bedtime. The color is a function of the path in the atmospheric air of the rays that are observed. The rays emitted by distant galaxies cross the gaseous atmosphere of many galaxies, resulting in a red shift.

Geology

Let us come to the other great discipline, whose a priori has had as many implications: Geology.

Its founder, Nicolas Stenon, who intended to “walk in a very exact and orderly way, according to the method of Descartes”, defines the foundations in 1667 in his book “Canis Calchariae”, interpreting the superposition of strata as a succession of sedimentary deposits [2], lacked of underwater observations. He deduced in 1669, in “Prodromus”, the principles of stratigraphy, namely, superposition, continuity and original horizontality of strata, which are at the base of the relative scale of geological time. Charles Lyell defines from it absolute chronologies. In 1828 he traversed the Auvergne, and became interested in laminated deposits of fresh water. Noticing foliated strata of less than a millimeter that he attributed to an annual deposit, he realized that the whole (230 meters), took hundreds of thousands of years to form. In his “Principles of Geology” (1832), he noted that the fauna was renewed by 5% during the “ice age”. Assuming a constant rate of renewal (uniformitarian hypothesis), it will take twenty times longer for a “revolution” in wildlife to occur. But Lyell has had four revolutions since the end of the secondary era, and eight more for earlier times since the beginning of the primary era. And as his contemporary James Croll estimated, for astronomical reasons, that the ice ages lasted a million years, Lyell sets the primary base at 240 million years. Duration increased to 560 million years ago by radiometric dating in the 20th century.

It was this succession of species during a very long time that led Darwin to express, in 1859, his theory in his work “The Origin of Species”. It is that of the natural selection of species by the struggle for life, inducing their evolution over time. Two years later, Marx wrote to Lassalle: “Very significant is the work of Darwin, which suits me as a foundation in the natural sciences of the class struggle in history”. Engels on his side, in “Ludwig Feuerbach and the End of German Philosophy” acknowledged “Darwin’s overall demonstration made for the first time that all the products of nature that now surround us, including men, are the product of a long process of development from a small number of unicellular germs originally, and that the latter are, in turn, from a protoplasm or albuminoid body made by chemical means”. And he immediately deduced from Darwin’s “discovery” a law of evolution of societies: “But what is true of nature and also recognized as a process of historical development, is also true of history of society in all its branches and all of the sciences that deal with human and divine things “.

Scientific socialism thus derives from Darwin, as does National Socialism, which preached the supremacy of the Aryan race. Hence the Gulag, and the Shoah, which have claimed more than 60 million lives. As for the historical geology, based on the interpretation of Stenon, this one is not proved, because no one has witnessed stratification.

That is why I started an experimental program to study stratification in 1970. There exists in the sedimentary rocks, layers of slight thickness, millimetric, or “laminae”, which are similar to the “foliated strata” observed by Lyell, mentioned earlier. I took a sample of “Fontainebleau sand”, presenting these “laminae”, weakly cemented. I broke the cement and obtained heterogranular sand, that is to say composed of particles of different sizes.

I dropped the sand into a glass tube, and saw the same lamination in the deposit similar to that of the sample, and this at whatever rate of sedimentation that I operated. As shown in the attached photos. I understood then that this phenomenon could result from sand being a powder whose mechanics is intermediate between that of liquids and solids. If, in a tube, three solid bodies are successively dropped, these bodies are arranged in the order of their succession. Whereas if three liquids of different densities, mercury, oil, water, are dropped, they will be superimposed in the order of decreasing densities, under the effect of gravity. Gravity could therefore be expected to cause repetitive granulation of the sand particles according to their size. Lamination is a mechanical phenomenon, not a chronological one. As a result, the thousands of “foliated strata” observed by Lyell do not correspond to hundreds of thousands of years (Figure1 and 2).

The report of my experiments was presented by Professor Georges Millot, Director of the Institute of Geology of Strasbourg, Dean of the University, member of the institute, then President of the Geological Society of France, at the Paris Academy of Sciences, which published it in its reports in 1986 [3]. Thereafter, the Professor admitted me to the Geological Society of France, as a sedimentologist. I then did the same experiment with a laminate sample containing fossils. The result was the same, and was also published by the Academy of Sciences in 1988, presented by Georges Millot [4].

GEMS-19-102_Kate Mariana_F1

Figure 1. Diatomite sample

GEMS-19-102_Kate Mariana_F2

Figure 2. Lamination resulting from dry run

What about thick stratification?

A report titled “Jewel Creek Flood” [5], published in the US, authored by American geologist Edwin Mac Kee, reported stratified deposits on the banks of “Bijou Creek” resulting from a flood of the river from the Rocky Mountains, due to snowmelt and increased by heavy rains. This phenomenon did not last more than 48 hours. Given the continuity of the flow, there was no question of supposing that a first stratum had become rock, before the second covered it, as the principle of superposition had affirmed. The strata were about 10 cm thick (see Figure 3a,b).

GEMS-19-102_Kate Mariana_F3a

GEMS-19-102_Kate Mariana_F3b

Figure 3. Sedimentary structures of the East Bijou stream flood in 1965
a) alternating strata of sand and muddy sand – b) stratification of deposits

To explain the phenomenon, it must be taken into account that the river in flood reached a velocity of 7 m/s in turbulent regime, and where, in each area of the river, the speed of the current varies alternately from the surface to the bottom. However, sedimentologists such as Hjulstrom and Lichstvan-Lebedev [6], have experimentally determined the critical rates of deposition of particles of different sizes. In a flood situation, the sediment transport capacity of the current is very high, and the speed variation in each area, when it becomes critical, causes the sedimentation of quantities of particles of different sizes, so that the gradation observed in calm water becomes thick “layers” of several centimeters. Similarly, in 2008, the Journal Sedimentology published an article on the 2004 tsunami in Southeast Asia, which presents photos of the tsunami’s deposit in a few hours, showing strata of 20 cm superimposed.

It seemed to me necessary to study stratification in the laboratory. An experimental report from a group of American sedimentologists operating at the University of Colorado Hydraulic Laboratory, of a flowing canal, showed the presence of strata in the deposit. I therefore proposed to study the causes, and went there for this occasion. I signed a contract with the University, and it was the group’s assistant, Pierre Yves Julien, a young Canadian hydraulist and sedimentologist, who carried out the experiences of the contract. In a canal, the water mixed with sand, whose large particles are black and the small white, is pumped in a circulating circuit. The color contrast of the particles allows the observation of the stratification in the sedimentary deposit which develops both laterally, in the direction of the current, and vertically as it thickens. The deposit is laminated and stratified. A lateral section of the deposit shows a superposition of layers several centimeters thick, as shown in the photos below. The report of this experiment was published in 1993 in the Bulletin of the Geological Society of France [7] (Figure 4–6).

GEMS-19-102_Kate Mariana_F4

Figure 4. Formation of granulated layers

GEMS-19-102_Kate Mariana_F5

Figure 5. Transverse section of the deposit

GEMS-19-102_Kate Mariana_F6

Figure 6. Longitudinal view of the deposit

To develop a chronology resulting from sedimentation, it is necessary to refer, as cause, to the marine movements, ascending or descending, which deposit stratified sets called “sequences”.

The book “Base of Sédimentologie” of the Association of French Sedimentologists, says: “Sedimentology studies how are formed the solid envelopes of the Earth and planets, subject to the action of water, wind and gravity “. Stenon’s a priori are no longer the basis. In the early 2000s, the time came for me to apply the lessons learned from my experiences, complemented by other sources on the ground. Being 75 years old, there was no way I could participate. But I was lucky when I went to Moscow at that time to meet a young geologist and sedimentologist, Alexandre Lalomov, who took a great interest in my published works. Thanks to him, I was able to publish in 2002, under the title “Analysis of the main principles of stratigraphy on the basis of experimental data”, in “Lithology and mineral resources”, journal of the Academy of Sciences and the Institute of Geology of Russia, a report of our work conducted in the USA [8].

In 2004, the same magazine published my, “Sedimentological Interpretation of the Tonto Group”, explaining that the facies of a geological series are both superimposed and juxtaposed on the deposit area, which is due to the current Sediment supply [9]. My work was also published in China [10].

Alexander Lalomov determined, in several regions of Russia, the hydraulic and sedimentary genesis of rock formations in Crimea, the Urals and the Saint Petersburg region [11].The most decisive of his works was the determination of the sedimentation time of rock formations, such as the Cambrian-Ordovician sandstone formations of the Saint Petersburg region. Sedimentary mechanics assess the sediment transport capacity of currents from critical paleo current velocities, as a function of particle size. The quotient of the volume of the rock formation studied by this capacity, per unit of time and volume, indicates the corresponding sedimentation times. This method is applied by many sedimentologists, names of which I would quote HA Einstein. The time determined by this method, applied to the aforementioned Cambrian-Ordovician sandstones, represents 0.05% of the time of the geological scale. The report of this study was published in 2011 in “Lithology and Mineral Resources”, journal of the Academy of Sciences and the Institute of Geology of Russia [12].

The sedimentary chronology is no longer based on stratification. This is why the stratigraphic chronology is belied by the aforementioned experimentation. In addition, sedimentary rocks are not radiologically dated, only igneous rocks can be.

Golovkinskii (Kazan-1868), on rocks, and Walther (1894), on marine sediments, established that: “Only facies and facies areas juxtaposed on the surface, could be superimposed originally” [13]. As it was shown, in my 2002 publication, facies, both superimposed and juxtaposed, constitute a sequence resulting from a transgression or marine regression. A succession of sequences included between a transgression followed by a final regression is a “series”. The data of the sequential stratigraphy and the experiments mentioned above, show that a series corresponds to a period. Therefore, the sequence should be considered as the base reference of the relative chronology, instead of the stage.

Today, sedimentologists, based on the results of their underwater observations and their laboratory experiments, have established relationships between hydraulic conditions, depth and particle size. This makes it possible to determine the critical transport speeds below which a particle of a given size is sedimented. The St. Petersburg Hydraulic Institute has carried out at my request an experimental program of erosion of sedimentary rocks by strong currents (v <27 m / s) to complete these relations [14]. Others will have to follow. For information, all our publications and experiences are on my website www.sedimentology.fr. By clicking on “Video”, you can see my experiences.

As a result, the geological time scale must no longer be based on the superposition of strata. It must be based previously on the sedimentary genesis, involving on the one hand gravitation, for the formation of the lamination, and on the other hand the turbulent flow velocity, for the formation of superimposed and juxtaposed stratified facies, constituting the sequences. As for absolute time, the foliated strata that Lyell observed, and taken for annual deposits, are mainly laminae which, as I have shown experimentally, do not characterize any absolute time. The same is true of his 240 million-year chronology, based on the biological “revolutions” that Professor Gohau has described as an “unproven, uniformitarian hypothesis”. Professor Gohau in his book “A History of Geology” [15] said, “What measures the time, these are the times of sedimentation and not those of orogens and “biological revolutions”. I add that the radiometric dating of rocks is questionable. As evidence, the potassium / argon dating of rocks, resulting from volcanic eruptions of known historical date, sometimes indicate millions of years. This results from an excess of argon largely from the lava that gave rise to the rock [16]. Christian Marchal, of ONERA, polytechnician also, published in 1996 in the “Bulletin of the Museum of Natural History of Paris” (completed by an erratum published in “Geodiversitas” – 1997), a study entitled “A probable cause of the large displacements of the terrestrial poles “ [17], showing that the uplift of a large mountain range like the Himalayas modifies by several million the moments of inertia of the Earth, which is enough to move the position of stable equilibrium of the poles by tens of degrees. This study indicates that these pole displacements, combined with the rotation of the Earth, result in large transgressions and regressions of the oceans, their amplitude being much greater than the variations of the level of the oceans due to the melting of the glaciers consecutive to cyclical variations of orbital parameters of the Earth. This may explain, in addition to the paleo-hydraulic analysis data, the existence of diluvian conditions in the geological past, generated by the orogeny of mountain ranges, in addition to those attributed to the fall of meteorites. As it is said in the Eocene Bulletin, the North Pole, before the Himalayan orogeny, was at the mouth of the Siberian Yenisei River at 72 degrees north latitude. After the orogenesis, he was in a position close to what it is today, after a shift of 18 degrees. The direction of the transgressions and regressions following each of the 19 orogeneses occurring since the beginning of the Primary era, corresponds to the succession of the resulting sequence facies, such as sandstone, clay, limestone. An example is the Tonto Group in the Cambrian. It proceeds from the Cadomian orogeny, at the beginning of the Cambrian, and results from a transgression from the Pacific Ocean to New Mexico. Other directions may be determined by other orogeneses that occurred elsewhere on Earth.

Contemporary marine fauna varies with depth, latitude and longitude, and such diversification exists in the geological timescale. The apparent change of fossilized marine organisms from one series to another following an orogenesis may result from different faunas transported by currents from different places resulting from successive orogenesis. What has been attributed to a biological change may be ecological in nature, explained by fauna from different orogeneses, taking into account the short time of sedimentation. It should be added that dating by radiocarbon (C14) is done nowadays on the collagen of fossil dinosaur bones, which reduces their calculated age from 65 million years to less than 40,000 years. But this C14 dating is based on the assumption that the C14 concentration of the atmosphere remained constant over time, which cannot be verified. Overall, the radiometric dates are not conclusive. In conclusion of the geological chapter, a relation can be established between cause and effect. Orogeny, that is, rising mountains, which is contingent on volcanic eruptions [18], is the cause of displacements of the axis of rotation of the poles, which causes marine series and creates deposits, thus sedimentary rocks. The duration of these deposits being much shorter than the time indicated by the geological timescale leads to its necessary revision. I expressed this causal relationship in “Towards a refoundation of historical geology” [19], published in “Georesources”, Journal of the Kazan University (12/2012), and in “Orogenesis, cause of sedimentary formations” [20], published in “Open Journal of Geology” at the International Conference of Geology and Geophysics held in Beijing (06/2013) [21].  I presented it at the Kazan Geology Conference in October 2014.

In his report, “Orogenesis of the Tertiary Age of the Ural Mountain System”, Alexandre Lalomov draws the following conclusions:

Based on the geomorphology and velocities generated by current surface movements, the time required for the uplift of the Ural Mountain system is much less (0.5 to 0.7%) than the corresponding time interval of the stratigraphic timescale.

Based on the sediment lithology and the geomorphology of the Ural valleys, the time required for the erosion of the valleys of most Ural rivers is much less (0.02 to 0.7%) than the corresponding time interval of the stratigraphic timescale.

The distribution of fossils in the Ural Orogeny deposits can be explained on the basis of ecological and facial zonings of the preogenic environment.

The report of “Reconstruction of Paleohydraulic conditions of deposition of the upper permian strata of the Kazan region” of A. Lalomov, G. Berthault, VG Izotov, LM Sitdikova, MA Tugarova was published in “Georesources” in 2017[22] and presented by Lalomov and myself on November 7, 2017 at the Kazan Geology Institute.

Conclusion

The fatal consequences of the a priori in natural sciences invites to base these on the observed and experienced facts, eliminating the a priori and errors of reasoning, which should be the subject of research by specialists of artificial intelligence. The history of the last centuries shows us well this sequence. Copernicus and Galileo affirmed, but without proof, that the sun was the center of the world. Had they merely spoken hypothetically, what Cardinal Bellarmin had asked Galileo to do, they would not have been condemned by the Holy Office, which, therefore, would not have denied the probable mobility of the Earth. There would have been no reaction against the Church. Similarly Descartes, if he had attached himself to the facts, he would not have based his judgments on the only clear and distinct ideas, persuasive ideas that led Stenon to his a priori, and Newton to his inexact laws set before the empirical evidence. Descartes thus engendered the philosophy of enlightenment, which, led the notoriously antireligious Voltaire to the revolution of 1789 and the fall of the monarchy of the Bourbons, replaced by Napoleon I and later Napoleon III, who unleashed wars. Objectively, these events should not have taken place. And without a historical geology based on an inexact a priori, Darwin would not have been led to write “The origin of species”, postulating this struggle for life between species which inspired Marx and Engels to advocate for the class struggle. So Stalin might have remained a seminarian and Hitler, a painter, which would have saved us the Second World War. Their a priori having been revealed, the previous incidences collapse. We cannot change history. But by becoming once again objective, we should be able to make history return to the path of Truth, from a scientific, political, metaphysical, moral and spiritual point of view. Man, having no proof of an evolutionary cause of the universe, must, as did ancient civilizations, ask himself the question : “Who created the universe?”. For believers, there is a spiritual response expressed by the Bible whose chronology has been challenged by the millions of years attributed to living species, including Man. Having challenged the foundations and chronology of historical geology, believers, freed from this geological challenge, can once again adhere to the credibility of the Bible, be it Jews, Christians or Muslims.

References

  1. van Ruymbeke M (1979) A horizontal pendulum with zero method makes it possible to measure the constant of the universal gravitation G. Thesis Annex phd UCL.
  2. Stenon N, Stensen N (1667) Canis Carchariae Dissectum Caput, KIU Aus., lat. u. engl. The earliest geological treatise.
  3. BG Sedimentology (1986) Experiments on Lamination of Sediments, Resulting from a Periodic Graded-Bedding Subsequent to Deposit. report of the Academy of Sciences 303.
  4. Berthault G (1988) Sedimentation of a Heterogranular Mixture. Experimental Lamination in Still and Running Water. report of the Academy of Sciences 306: 717–724.
  5. McKee ED, Crosby EJ, Berryhill HL Jr (1967) Flood Deposits, Bijou Creek, Colorado, June 1965. Journal of Sedimentary Petrology 37: 829–851.
  6. Lischtvan-Lebediev (1959) Gidrologia i gidraulika v mostovom doroshnom. Straitielvie. Leningrad.
  7. Pierre Y Julien, Yongqiang Lan, Guy Berthault (1993) Experiments on Stratification of Heterogeneous Sand Mixtures. Bulliten Of The Geological Society Of France 164: 649–660.
  8. Berthault G (2002) Analysis of Main Principles of Stratigraphy. Lithology and Mineral Resources 37: 509–515.
  9. Berthault G (2004) Sedimentological Interpretation of the Tonto Group Stratigraphy, Grand Canyon Colorado River. Lithology and Mineral Resources 39: 504–508.
  10. Berthault G (2002) Geological Dating Principles Questioned Paleohydraulics a New Approach. Journal of Geodesy and Geodynamics 22: 19–26.
  11. Lalomov A (2007) Reconstruction of Paleohydrodynamic Conditions during the Formation of Upper Jurassic Conglomerates of the Crimean Peninsula. Lithology and Mineral Resources 42: 268–280.
  12. Berthault G, Lalomov A, Tugarova MA (2011) Reconstruction of Paleolithodynamic Formation Conditions of Cambrian-Ordovician Sandstones in the Northwestern Russian Platform. Lithology and Mineral Resources 46: 60–70.
  13. Middleton GV (1973) Johannes Walther’s law of the correlation of facies. Geological Society of America 84: 979–988.
  14. Berthault G, Veksler AL, Donenberg VM, Lalomov A (2010) Research on Erosion of Consolidated and Semi-Consolidated Soils by High Speed Water Flow. Izvestia VMG 257: 10–22.
  15. Gohau G (1990) A history of geology. Paris Seuil Pg No: 277.
  16. Funkhauser JC, Naughton JJ (1968) Radiogenic helium and argon in ultramafic inclusions from Hawai. Journal Geological Research 73: 4601–4607.
  17. Marchal C (1997) Earth’s Polar Displacements of Large Amplitude. A Possible Mechanism. Bulletin of the National Museum of Natural History 19.
  18. Rampino MR, Prokoph A (2013) Are Mantle Plumes Periodic?. EOS Transactions American Geophysical Union 94: 113–120.
  19. Berthault G (2012) Towards a Refoundation of Historical Geology. Georesources Pg No: 4–36.
  20. Berthault G (2013) Orogenesis, cause of sedimentary formations. Open Journal of Geology 3: 22–24.
  21. Dilly R, Berthault G, Lalomov A (2015) Orogenesis, cause of sedimentary formations, 8ème conférence lithologique Evolution des processus sédimentaires dans l’histoire de la terre, Académie des Sciences et Université gouvernementale du pétrole et du gaz, Moscow.
  22. Lalomov A, Berthault G, Izotov VG, Sitdikova LM, Tugarova MA (2017) Reconstruction of Paleohydraulic conditions of deposition of the upper permian strata of the Kazan region. 19: 101–110.

Evaluation of a Direct Oral Anticoagulant Stewardship Program: Analysis of a Drug Consult Review Process and Population-Based Management Tool

Abstract

Background: With the approval of Direct Oral Anticoagulants (DOAC), anticoagulation management has been transformed in both stroke prevention and venous thromboembolism prophylaxis and treatment. Despite evidence-based dosing guidance there has been large variation in prescribing practices that may lead to negative outcomes. The purpose of this two-part study is to evaluate the impact of a DOAC stewardship program on appropriate DOAC prescribing and use.

Methods: Patients were included in part one of the study if they were prescribed initial DOAC therapy from October 15, 2017 – October 15, 2018 with either a general or DOAC specific drug consult. A manual chart review was then conducted for data points including: anticoagulation indication, DOAC dose, serum creatinine, weight, age, consult approval or denial, and reasons for denial. Part two of the study included patients identified through a VA Population-Based Management Tool (PBMT) from January 1, 2018 – September 30, 2018. A manual chart review was then conducted for data points including: flag category, interventions made, and interventions accepted. Patients were excluded in both arms of the study if the duration of DOAC therapy was less than 20 days, incomplete chart review, or if DOAC therapy was prescribed by a non-VA provider.

Results: A total of 592 consults were included in the final analysis in part one of the study. Of the 233 general consults evaluated, 212 (91.0%) were deemed appropriate, 15 (6.4%) inappropriate, and 6 (2.6%) as clinical grey areas. Of the 233 DOAC specific drug consults evaluated, 218 (93.6%) were deemed appropriate, 1 (0.4%) inappropriate, and 14 (6.0%) as clinical grey areas. There was a significant difference in consults worked inappropriately (p=0.0004). A total of 317 PBMT interventions were included in the final analysis in part two of the study. Of those interventions that were actively acknowledged, 233 (95.9%) interventions were completed.

Conclusion: Implementation of a DOAC stewardship program in a healthcare system promotes appropriate and optimal use as well as safety monitoring of DOACs. A drug-specific consult review process improves inappropriate approval or denial of DOAC therapy while the utilization of a population-based management tool efficiently identifies critically important interventions necessary to ensure safe and appropriate use of DOACs.

Introduction

Two disease states that often require anticoagulation for either prophylaxis or treatment are nonvalvular atrial fibrillation (AF) and venous thromboembolism (VTE). Until recently, the primary option for oral anticoagulation was warfarin, a vitamin K antagonist. In 2010, the first Direct Oral Anticoagulant (DOAC), dabigatran, was FDA approved and since then, other DOACs have received FDA approval within the United States (rivaroxaban, apixaban and edoxaban) [1–4]. With the approval of these agents, anticoagulation management has been transformed in both stroke prevention and VTE prophylaxis and treatment. DOACs require no routine lab monitoring to assess anticoagulation effect due to their favorable pharmacokinetic and pharmacodynamic profile when compared with warfarin. However, DOACs are still associated with serious bleeding risks and possess characteristics different from warfarin, including: renal elimination, short duration of action, different drug-drug interactions, administration considerations, and dosing based off of appropriate indication.

Despite evidence-based dosing guidance, there has been large variation in prescribing practices that may lead to negative outcomes. Steinberg and colleagues were the first to analyze the association between DOAC doses and clinical outcomes in patients with nonvalvular AF. Their study, through the ORBIT-AF II Registry, concluded that off-label doses of DOAC therapy for prevention of stroke in nonvalvular AF are associated with increased risk for adverse events [5]. In addition to prescribing practices, adherence to anticoagulants effects patient outcomes. Shore, et al assessed the adherence component of DOAC therapy by specifically studying patients on dabigatran in Veterans Affairs (VA) hospitals. Their study found that one-quarter of patients demonstrated sub-optimal adherence to dabigatran and poor adherence was associated with an increased risk for stroke and all-cause mortality [6]. Dreijer and colleagues determined 8.3% of medication errors from the hospital and primary care settings were caused from anticoagulation agents, with most error reports concerning the prescribing phase of the medication process [7]. With these results and common practices today, it is imperative that prescribers are aware of the need for oversight of DOAC prescribing. Additionally, studies have shown that a pharmacist driven monitoring program improves appropriate prescribing and monitoring of DOACs used for FDA approved indications. Miele, et al. revealed that appropriate prescribing of DOAC therapy was improved after implementing a pharmacist driven monitoring program through a pre- and post-intervention study. They found that 32.4% of doses administered in the pre-intervention group were considered inappropriate, compared to 13.8% in the post-intervention group. Appropriate prescribing included FDA approved indications and appropriate doses of DOAC therapy based on renal function [8].

Tennessee Valley Healthcare System (TVHS) has pioneered a DOAC stewardship program that includes a DOAC drug specific consult to ensure appropriate prescribing at initiation and then long-term surveillance of patients on DOAC therapy by an ongoing population-based management tool. The goal of this stewardship program is to improve appropriate DOAC utilizations by streamlining the initial DOAC consult process along with ongoing management by utilizing anticoagulation clinical pharmacy specialists (ACC CPS) and a DOAC population-based management tool (PBMT). Previously, DOAC therapy was approved through a generic drug consult review process evaluated by a general clinical pharmacy specialist (CPS). This created a lack of consistency between DOAC approval on a patient to patient basis. The newly developed drug consult review process utilizes both a DOAC drug specific consult along with an ACC CPS. TVHS hopes to improve DOAC utilization with regards to appropriate indication, dosing, and safety through a more specific format of DOAC approval. The DOAC PBMT is used within the VA system to allow for continuous review of safety and compliance parameters for optimal care of patients who are prescribed DOAC therapy. The management tool identifies eight flags including: appropriate dosing, valve replacement, notable labs, overdue labs, critical drug interactions, active Non-Steroidal Inflammatory Drug (NSAID) use, overdue refill greater than 4 weeks and renewal due in next 30 days. It is the responsibility of the ACC CPS to actively review the PBMT daily. Upon review, if a flag is present, the ACC CPS will document their assessment in the patient’s electronic medical record; therefore, notifying the provider of a recommendation or change regarding the patient’s current DOAC therapy. In this study, we will evaluate the impact of a DOAC stewardship program on DOAC utilization at TVHS.

Methods

This multi-site, single center, retrospective cohort study was conducted at TVHS, which includes sites in Nashville and Murfreesboro, TN, as well as patients enrolled at any of the healthcare system’s 13 Community Based Outpatient Clinics (CBOCs) throughout Middle Tennessee, southern Kentucky, and northern Georgia.

Patients were included in part one of the study if they had an active DOAC prescription from October 15, 2017 to October 15, 2018 and 18 years of age or greater. Patients were excluded if the prescription was prescribed for short term therapy (inpatient use only and traveling veterans), written by orthopedics, there was an incomplete data set, or if a consult was denied based on criteria for use (CFU). Patients were included in part two of the study if they had an active DOAC prescription from January 1, 2018 to September 30, 2018 with a note title “Anticoagulation Eval and Mgt Secure Messaging” in the electronic medical record indicating an ACC CPS intervention and 18 years of age or greater. Patients were excluded if the prescription was prescribed for short term therapy (inpatient use only and traveling veterans), if the note title was used in error or the patient relocated to a different VA system. The primary endpoint of this study is to determine the appropriate use of DOAC therapy through a drug consult review process. The secondary endpoints are to determine how the drug consult review process and the utilization of a population-based management tool influences safety outcomes of initial and ongoing DOAC therapy including, concomitant antiplatelet therapy in part one and the PBMT flag categories in part two.

Patients who were prescribed direct oral anticoagulation therapy from October 15, 2017 – October 15, 2018 were identified through data warehouse extraction. A manual chart review was conducted for data points including: anticoagulation indication, DOAC dose at time of consult submission, initial or renewal consult, documented labs, documented weight, consult approval or denial, and rational for approval or denial. Evaluated consults were then categorized as appropriate, inappropriate, or clinical grey areas (Appendix 1). Patients followed by the PBMT from March 24, 2018 to September 24, 2018 were identified through data warehouse extraction using the note title “Anticoagulation Eval & Mgt Secure Messaging.” A manual chart review was conducted for data points including the PBMT flag categories (Appendix 2), interventions actively acknowledged and interventions completed. The sample size was calculated based on the primary objective to determine appropriate use of DOAC therapy through a drug consult review process. The sample included all patients who meet study criteria that received DOAC therapy during the pre-determined timeframe. We wanted to see at least a 15% difference regarding the number of appropriate approvals/denials between the generalized and the specialized consult review process. Using these two data points, the effect size was found to be 15% with alpha set at 0.05 and beta set at 0.20. The study required 133 patients in each arm to be adequately powered. Chi square and fisher exact were used to calculate the p-value for the categorical data presented.

Results

Table 1 displays the baseline demographics and clinical characteristics of the two cohorts. The two groups did not different significantly with respect to age, gender, and race. However, there was a statistically significant difference found in use of rivaroxaban and dabigatran between the two cohorts. The authors attribute this difference to the delineated questions of the drug-specific consult. (Table 1)

Table 1. Baseline characteristics for the consult review process

 

Generalized Consult
n = 233 (%)

DOAC Specific Consult
n = 233 (%)

P-value

Age

 

 

 

Average ± SD

70.9 ± 11

69.9 ± 12

0.3489

Male sex – no. (%)

231 (99.1)

227 (97.4)

0.2848

Race or ethnic group – no. (%)

 

 

 

White

194 (83.3)

204 (87.5)

0.2375

Black or African American

20 (8.6)

17 (7.3)

0.7323

Asian

0

1 (<1)

1.0000

Native Hawaiian or Pacific Islander

0

0 (0)

1.0000

American Indian or Alaska Native

1 (<1)

1 (<1)

1.0000

Unknown

18 (7.7)

10 (4.3)

0.1715

Direct Oral Anticoagulant (DOAC) – no (%)

 

 

 

Apixaban

85 (36.5)

82 (35.2)

0.8468

Rivaroxaban

56 (24)

78 (33.5)

0.0316

Dabigatran

91 (39.1)

65 (27.9)

0.0141

Edoxaban

1 (<1)

3 (1.3)

0.6156

No preference

0 (0)

5 (2.1)

0.0721

Indication for Use

 

 

 

Nonvalvular atrial fibrillation

162 (69.5)

177 (76)

0.1452

Venous Thromboembolism (VTE)

64 (27.5)

46 (19.7)

0.0637

Other

7 (3)

10 (4.3)

0.6212

*Indication for Use – “other” includes non-FDA approved indications

Part I: Drug consult review process

Primary Outcomes

Two thousand twenty-one unique patients were extracted from October 15, 2017 – October 15, 2018. Due to time constraints and sample size being met, after the initial data pull the date range was shortened to January 13, 2018 to July 13, 2018. All consults in the generalized cohort were evaluated (n=296) and consults in the specialized cohort were randomized to meet a matching sample size (n=296); therefore, a total of 592 DOAC consults were evaluated. In the generalized cohort, 233 consults were included for study evaluation with 63 excluded for various reasons (incomplete data set, orthopedic patients, denial based on CFU). In the specialized cohort, 233 consults for study evaluation with 63 excluded for various reasons (short term therapy, incomplete data set, orthopedic patient, denial based on CFU). Table 2 illustrates the number of evaluated consults deemed appropriate, inappropriate, and those classified as clinical grey areas. Of the 233 general consults worked, 212 were deemed appropriate, 15 inappropriate, and 6 as clinical grey areas. Of the 233 DOAC Specific Drug consults worked, 218 were deemed appropriate, 1 inappropriate, and 14 as clinical grey areas. Statistical significance was seen only in those consults worked inappropriately. (Table 2)

Table 2. Categorization of consult approval or denial

Process

Appropriate (%)

Inappropriate (%)

Clinical Grey Area (%)

Generalized (n=233)

212 (91)

15 (6.4)

6 (2.6)

Specialized (n=233)

218 (93.6)

1 (0.4)

14 (6)

P values

0.3859

0.0004

0.1075

Of the 15 consults worked inappropriately in the generalized process, inappropriate interventions identified included: non-FDA approved dosing, critical drug-drug interactions, non-FDA approved indications, no indication provided, and hepatic dysfunction. The one consult worked inappropriately in the specialized process, the inappropriate intervention identified was non-FDA approved dosing.

Secondary Outcomes

There were no interventions made in the generalized consult review process regarding concomitant antiplatelet use, however there were 29 recommendations made to either discontinue the P2Y12 inhibitor or discontinue/decrease the dose of aspirin in the DOAC specific consult process. Of the 29 recommendation that were made, 13 (45%) recommendations were completed, specifically 9 (69%) were discontinued and 4 (31%) doses were decreased.

Part II: Population Based Management Tool

One thousand fourteen notes with the title “Anticoagulation Eval and Mgt Secure Messaging” were extracted from March 24, 2018 to September 24, 2018 and randomized using Microsoft excel. Three hundred four notes were evaluated to collect the pertinent information as noted above in the “data collection” section. Two-hundred ninety-two notes were included as 12 notes were excluded for various reasons (orthopedic patient, use of wrong note title, relocation to another VA and no active DOAC prescription). Of the 292 notes that were evaluated, 267 notes only included interventions made on one flag, where as 25 notes included interventions on 2 flags resulting in a total of 317 interventions made.

Table 3 displays the number of interventions made regarding the flag category specified by the population-based management tool. By far, the intervention that was made most commonly was alerting the provider that the prescription needed to be renewed (30%), followed by overdue refill > 4 weeks (22%), overdue labs (15%) and inappropriate dosing (11%). From the 317 interventions that were made 242 (76.7%) interventions were actively acknowledged. Of those that were actively acknowledged, 233 (95.9%) interventions were completed (meaning a medication was renewed, refilled, labs were ordered, medications changed, etc.) with specific percentages regarding each flag noted in table 4. (Table 3, Table 4)

Table 3. Interventions made via the population-based management tool

 

Interventions made
n = 317 (%)

Overdue labs

49 (15)

Notable labs

19 (6)

Active NSAID use

35 (11)

Overdue refill > 4 weeks

69 (22)

Dosing

39 (12)

Critical drug-drug interactions

11 (3)

Valve replacement

1 (0.33)

Renewal due

95 (30)

P2Y12i use

2 (0.66)

Table 4. Interventions actively acknowledged and completed

 

Interventions actively acknowledged
n = 243

Interventions completed n = 233

Percent completed based on those actively acknowledge

Overdue labs

28

27

96.4%

Notable labs

12

10

83.3%

Active NSAID use

21

16

76.1%

Overdue refill > 4 weeks

53

52

98.1%

Dosing

31

24

77.4%

Critical drug-drug interactions

9

7

77.8%

Valve replacement

1

0

0%

Renewal due

87

87

100%

P2Y12i use

1

0

0%

Discussion

As the anticoagulation paradigm begins to shift from warfarin to DOAC therapy, the use of these medications should still be managed and monitored carefully to prevent unwanted harm. To our knowledge, this is the one of the first studies analyzing the implementation of an ACC CPS run DOAC stewardship program that includes a drug-specific consult and a continuous PBMT evaluated by ACC CPS. When using a generalized consult review process, more consults were deemed to be evaluated inappropriately compared to a specialized consult review process. The generalized process included a consult with minimal requirements for completion (drug, dose, and reason why patient was not candidate for preferred formulary agent, dabigatran) and was then reviewed by a general clinical pharmacy specialist. With the implementation of a DOAC stewardship program, a drug-specific consult was created and is now reviewed by an ACC CPS. For completion, the drug-specific consult must include: drug, dose, indication (as well as details associated with indication), appropriate baseline labs (Hgb/Hct, SCr, AST/ALT), bleeding history, antiplatelet use, NSAID use, and use of pillbox.

The results of this study are consistent with previous studies finding that implementing a pharmacist driven monitoring program reduced inappropriate prescribing of DOAC therapy in adult patients with an indication for nonvalvular AF and/or VTE prophylaxis and treatment [8]. In our study, the following inappropriate uses of DOAC therapy were identified: non-FDA approved indications (apical thrombus, cryptogenic stroke), critical drug-drug interaction (strong CYP3A4 and P-glycoprotein inducers), non-FDA approved dosing (lead-in dosing provided for AF, subtherapeutic use of apixaban, use of apixaban with CrCl75 years old or declining renal function, denial of dabigatran due to use of pillbox, and use of rivaroxaban for ease of compliance. By utilizing the PBMT, our study illustrates that continuous monitoring of DOAC therapy is necessary as patient’s clinical status has the potential to change while on DOAC therapy. The authors attribute the one-fourth of interventions not actively acknowledge as due to the lack of education provided to prescribers prior to the implementation of the DOAC stewardship program. However, almost 96% of the interventions that were actively acknowledge were completed, showing the importance of additional surveillance methods rather than relying on prescriber chart reviews. Moving forward, the authors plan to provide educational sessions to prescribers regarding the importance of the PBMT hoping to eliminate alert fatigue and engage providers in the ongoing efforts of the DOAC stewardship program.

There are a few limitations of this study to consider. First, when categorizing the evaluated consults, clinical grey areas have the potential to differ depending on the consult reviewer’s clinical interpretation of current literature. Second, throughout data collection, four reviewers were trained based on the derived protocol; however, due to the abundant number of unique patients and charts to be reviewed data could have been assessed differently between reviewers. Impacts of this study support the need for a DOAC stewardship program in a healthcare system to promote appropriate and optimal use as well as safety monitoring of DOACs. A drug-specific consult review process improves inappropriate approval or denial of DOAC therapy while the utilization of a PBMT efficiently identifies critically important interventions necessary to ensure safe and appropriate use of DOACs.

Appendix 1: Clinical Grey Areas

  • Use of apixaban due to age >75 years old
  • Denial of dabigatran due to use of pillbox
  • LV Thrombus (if failed or cannot take warfarin)
  • Weight (>120kg)
  • Labs not collected within 90 days
  • Use of DOAC versus heparin or enoxaparin for lead-in for treatment of VTE
  • Non-FDA approved use of DOACs per Landmark Clinical Trials
  • CrCl 15–25 mL/min for use of apixaban in A. Fib
  • CrCl 15–30 mL/min for use of rivaroxaban in A. Fib

Appendix 2: Population-Based Management Tool (PBMT) Flags

  • Overdue labs
    • Results include all patients where either their most recent hemoglobin OR most recent platelet OR most recent serum creatinine is overdue per patient’s monitoring frequency
    • Monitoring frequency defaults to 12 months for all labs except 6 months for serum creatinine for patients that are 75 years of age or more and/or have a CrCl of less than 60 mL/min
    • Once the overdue lab(s) are resulted (once daily in the morning) the patient will no longer appear in this column. In addition, after review of the patient, monitoring frequency (for serum creatinine) can be reset to 2 weeks, 1, 3, 6 or 12 months as determined clinically appropriate
  • Notable labs
    • Most recent platelets <100 x 109 /L if the second most recent value was above 100 x 109 /L OR any platelet value < 50 × 109 /L OR hemoglobin < 10 g/dL or AST/ALT > 135/120 U/L OR a hemoglobin drop > 2 g/dL since previous hemoglobin with resultant value < 13.1 g/dL for males and <11.0 g/dL for females
  • Active NSAID use
    • Patients with an active non-aspirin NSAID based on VA Drug Class MS101 and MS102
    • Active includes prescriptions with status ‘ACTIVE’, ‘SUSPENDED’, ‘PROVIDER HOLD’, ‘HOLD’, ‘PENDING’
    • This will include non-VA prescriptions
  • Valve replacement
    • Results include all patients with an ICD code for a prosthetic (bioprosthetic or mechanical) heart valve on their problem list, attached to two outpatient visits within the last 2 years, or as inpatient discharge diagnosis within the last two years
  • Dosing flag
    • Results include all patients whose renal function (by Cockcroft-Gault with actual body weight) falls above or below specified cutoffs based on agent, indication and if applicable selected drug interactions as per FDA approved package inserts
    • Results also include patients whose dose does not appear to match indication and duration or other non-renal dose modifying characteristics (e.g. high dose apixaban for PE/DVT > 6 months, low dose apixaban for PE/DVT within first 6 months, dose/indication mismatch based on age and body weight)
  • Overdue refill > 4 weeks
    • Results include patients for whom it has been more than 4 weeks since their day supply would be expected to run out (based on released date plus one additional week to allow for shipment)
    • Renewal due in next 30 days
    • Patients for whom the ordered days supply is scheduled to expire within the next 30 days
  • P2Y12i use
    • Antiplatelet therapy includes aspirin, clopidogrel (Plavix ®), ticagrelor (Brilinta®), prasugrel (Effient ®)
    • Critical drug-drug interactions

DOAC

Drug Interactions

Dabigatran

Flag if active warfarin, apixaban, edoxaban, rivaroxaban, rifampin, primidone, St. John’s Wort, phenobarbital, carbamazepime, phenytoin, dronedarone, cyclosporine, tacrolimus, itraconazole, ketoconazole, pasaconazole, voriconazole, rifampicin, saquinavir, ritonavir, indinavir, nelfinavir, amprenavir, lopinavir, fosamprenavir, atazanavir, tipranavir or darunavir

Rivaroxaban

Flag if active warfarin, apixaban, edoxaban, dabigatran, rifampin, primidone, phenobarbital, carbamazepime, phenytoin, itraconazole, ketoconazole, pasaconazole, voriconazole, rifampicin, saquinavir, ritonavir, indinavir, nelfinavir, amprenavir, lopinavir, fosamprenavir, atazanavir, tipranavir, darunavir or St. John’s Wort

Edoxaban

Flag if active warfarin, apixaban, rivaroxaban, dabigatran, rifampin, primidone, phenobarbital, carbamazepime, phenytoin, rifampicin, saquinavir, ritonavir, indinavir, nelfinavir, amprenavir, lopinavir, fosamprenavir, atazanavir, tipranavir, darunavir or St. John’s Wort

Apixaban

Flag if active warfarin, rivaroxaban, edoxaban, dabigatran, rifampin, primidone, phenobarbital, carbamazepime, phenytoin, itraconazole, ketoconazole, pasaconazole, voriconazole, rifampicin, saquinavir, ritonavir, indinavir, nelfinavir, amprenavir, lopinavir, fosamprenavir, atazanavir, tipranavir, darunavir or St. John’s Wort

  • Other critical drug interactions
  • Active cancer pharmacotherapy
  • Flag if: active VA cancer pharmacotherapy in a patient with diagnosis of DVT/PE ± atrial fibrillation or atrial flutter
  • Active includes prescriptions with status ‘ACTIVE’, ‘SUSPENDED’, ‘PROVIDER HOLD’, ‘HOLD’, ‘PENDING’ for any of the interacting drugs or cancer pharmacotherapy
  • Non-VA medications will be included in the analysis for critical drug-drug interactions. Patients with non-VA DOAC prescriptions will not be identified by this tool

References

  1. Eliquis [package insert]. New York, NY: Pfizer Pharmaceuticals, Inc; 2012.
  2. Xarelto [package insert]. Titusville, NJ: Janssen Pharmaceuticals, Inc; 2011.
  3. Pradaxa [package insert]. Ridgefield, CT. Boehringer Ingelheim Pharmaceuticals, Inc; 2011.
  4. Savaysa [package insert]. Tokyo, Japan. Daiichi Sankyo Company, Limited; 2017.
  5. Steinberg B, Shrader P, Thomas L, Ansell J, Fonarow GC, et al. (2016) Off-label dosing of non-vitamin K antagonist oral anticoagulants and adverse outcomes, The ORBIT-AF II Registry. JACC 68: 2597–2604.
  6. Shore S, Carey E, Turakhia M, Jackevicius CA, Cunningham F, et al. (2014) Aherence to dabigatran therapy and longitudinal patient outcomes: insights from the Veterans Health Administration. Am Heart J 167: 810–817.
  7. Dreijer AR, Diepstraten J, Bukkems VE, Mol PGM, Leebeek FWG, et al. (2019) Anticoagulant medication errors in hospitals and primary care: a cross-sectional study. Int J Qual Health Care 31: 346–352.
  8. Miele C, Taylor M, Shah A (2017) Assessment of direct oral anticoagulant prescribing and monitoring pre- and post-implementation of a pharmacy protocol at a community teaching hospital. Hosp Pharm 52: 207–213.

Water Heating By Solar Tile

Introduction

The paper deals with the use of combination solar tiles-heat pump for domestic water heating. The paper presents testing of solar tile-heat pump combination. Black-coloured water which absorbs solar radiation flows through solar tiles made of transparent polymethyl methacrylate CH2C(CH3)COOCH3. At the same time, solar tiles are used as a roof covering and as a solar radiation collector. Hot water from solar tiles is led to the heat pump, which increases the temperature of water entering the boiler heating coil. The heat of water heated in solar tiles serves as a source of anergy for the heat pump. On that way Coefficient of Performance (COP) of heat pump is increased. Since we wanted to evaluate realistically the efficiency of combimation solar tiles-heat pump, we carried out extensive tests. The experiments were carried out in rainy, cloudy and clear weather.

Test rig

Conventionally, all types of collectors and heat pumps are used separately. In the paper, it is a suggestion to join both systems in a serial connection. Heated water that is coming from the solar tiles is led directly into the input side of a heat pump to gain the higher temperatures. This serial connection should ensure higher temperatures of heating as each heating system works independently.

To verify the effectiveness of the serial connection solar tiles – heat pump, a convenient test rig was built. Measurements of suitable quantities were carried out and analyzed. The test rig consists of a solar tiles, water-water heat pump, and boiler.

The tests were carried under various weather conditions in the summer and winter seasons. Inlet and outlet temperatures from the flat plate collector and heat pump were measured, as well as the ambient air temperature and the water temperature in the boiler.

Figure 1a shows a measurement diagram and Figure 1b the installation of solar tiles. The surface area of tiles was 2 m2. On the lower side, the tiles were insulated, resulting in a decrease by half of the contact surface of the air with the tiles in the case of cloudy weather and darkness, when convective heat transfer prevails. The insulation is appropriate when heat is generated from the radiant part of the heat transfer. The water/water heat pump had thermal power of 1.5 kW under standard conditions and it heated a 300 l boiler. The measured parameters included:

NAMS-2019_Milan Marčič_F1

Figure 1. a) Measurement diagram, b) Installation of solar tiles

  • outlet water temperature from a solar tile (T1);
  • boiler water temperature (T2);
  • inlet water temperature to a solar tile (T3);
  • outlet water temperature from a heat pump (T4);
  • inlet water temperature to a heat pump (T5);
  • ambient air temperature (T6);
  • water flow (Q).

Tests results

The measurements shown in Figure 2 were made in clear sunny and totally cloudy weather. The difference between temperatures T1 (outlet water temperature from a solar tile) and T6 (ambient air temperature) was as high as 20 °C. Between 13:00 and 15:30, it was totally cloudy, which is why the T1-T6 difference dropped to 0 °C. At 15:30, the sky was fully cleared and the temperature difference increased again to 8 °C. From an energy point of view, the solar tile-heat pump combination is certainly the best solution in clear weather for heating of residential  houses and domestic water.

NAMS-2019_Milan Marčič_F2

Figure 2. Temperature measurements – Weather: sunny and windy

References

  1. Dubey S and Tiwari GN (2009) Analysis of PV/T flat plate water collectors connected in series. Solar Energy 83: 1485–1498.
  2. Haložan H (2000) Heat-Pumping Technologies, Journal of Mechanical Engineering. 46: 2000: 445–453.

The social inequity across the smoking social costs

Abstract

Introduction: Tobacco consumption is a demonstrated cause of growing in morbidity and mortality between smokers. Because of that it influence hardly since the social and the economic context because of smoking social costs. Consequently these costs are determining a particular inequity according to the smoking impact.

Objective: To describe the main economics characteristics that identify to smoking like inequity cause.

Materials and methods was made a descriptive research about the main characteristics that identify to smoking as social inequity cause. Were utilized the inductive deductive like theoretical method and like empiric was utilized the bibliographic research.

Results: The inequity attributable to smoking is given by the social cost attributable to it. The direct cots by morbidity determine a socio epidemiologic inequity while the indirect cost by labor productivity loses condition a socio labor inequity. Both costs are determining a contextualized form of socioeconomic inequity.

Conclusion:The economic burden attributable to smoking is a main measurer for the socioeconomic inequity attributable to smoking. The indirect costs attributable to smoking are given mainly by labor productivity lose attributable to smoking. In these cases the labor time lose in each context is a main measurer for the social inequity attributable to smoking by this way.

Keywords

Cost, Inequity, Smoking

Introduction

Smoking is an accumulative, modifiable and socioeconomic risk factor. These classifications are a strong base to understand by the society and the fiscal authority particularly about smoking to control it. That’s why the analysis about smoking cost by cost type will contribute to apply more efficient fiscal policies for the smoking control [1]. Like socioeconomic risk factor smoking have two main variables given by the smoker number and the tobacco consumption. Then, the relation saved by these variables explicates the smoking behavior too [2]. The single variation in both carries to smoking variation in the same way. Consequently the smoking social costs are in direct relation to these variables and the smoking social inequity too. As consequence of the tobacco growing it produces high social cost irreversible at short time. These costs overcharge to no smokers and thus born the smoking social inequity. The smoking social inequity form will depend from the smoking impact over the population researched but generally is possible to determine an economic cost because of the smoking social inequity too [3]. The most evident case is the passive smokers who are exposed to tobacco smoke and because of that suffers the smoking consequences agree to the exposition rate. Then, each form to measure the smoking social inequity must include these main variables and must be agree to the smoking particularities too [4].

Social inequity across smoking social cost

Tobacco consumptions carry to health disequilibrium. This is because the smoking social impact over the health population and the real health services too. This disequilibrium determines the smoking social inequity by smoking direct cost [5]. Smoking like socioeconomic risk factor is close related with poorness and the human develop. WHO had pointed the close relation between tobacco consumption and the health services demand and the economic development because of labor productivity lose too. These are the bases for the smoking social inequity by labor productivity loses attributable to smoking [5, 6]. These arguments show how important is understand the smoking social inequity like untouchable smoking impact. That’s why the objective of this research is to describe the main characteristic that identify to smoking as social inequity cause.

Materials and methods

Was made a descriptive research about the main characteristics that identify to smoking as social inequity cause. Were utilized the inductive deductive like theorical method and like empiric was utilized the bibliographic research.

Results

The social inequity because of smoking is given by the disparities in the society because of the smoking social costs. The most important social cost attributable to smoking are the direct smoking cost related with morbidity and the health services and the indirect smoking cost related with the labor productivity lose related with morbidity and mortality because of smoking. Each of them has particular forms of social inequity attributable to smoking [6].

Inequity attributable to smoking in the consumption of health services

A significant part of the health budget is utilized attending morbidities causes attributable to smoking. Then, the no existence of smoking should mean an important social save that could able for other social objectives [7]. This disparity is given by the smoking impact over active and passive smokers. This social impact it shows by the effective demand of health services because of smoking, the smokers’ number and the morbidity attributable to smoking. That is why the economic burden is a main measurer rate for the social inequity attributable to smoking for the Public Health [7].

Socio-epidemiologic and socioeconomic social inequity across the direct social attributable to smoking

To understand the social inequity attributable to smoking since the direct social costs is necessary to difference between epidemiologic burden and economic burden attributable to smoking [8, 9]. The epidemiologic burden is given by the morbidity attributable to smoking like risk factor and represents the morbidity probability´s attributable to smoking. By other side the economic burden is given by the effective demand of health services attributable to smoking. It is equivalent to the health spend probability´s attributable to smoking [8, 9]. The morbidity attributable to smoking creates disparities in the incidence of morbidity causes related with smoking. This disparities are given by the smoking impact over the health and it show in the differences between smokers morbidity and no smokers morbidity. This type of disparity explicates the socio-epidemiologic inequity attributable to smoking, where the epidemiologic burden is the main explicative variable [8, 9]. The morbidity attributable to smoking carries to disparities accessing to the health services too. These disparities should be external or internal. The external are given by the exclusion of consumer from the health services market while the internal are given by the redistribution in the health services accessing attributable to smoking. These are the main socioeconomic inequities attributable to smoking across the direct social costs attributable to smoking.

Socio-labor and socioeconomic inequity because of the labor productivity lose attributable to smoking

The labor productivity lose attributable to smoking can be absolute or relative. The absolute is related with earlier death because of smoking while the relative is associated to the morbidity attributable to smoking [10]. The earlier death of smoker reduces the life expectative and this is an important social inequity given by the difference in life expectation between smokers and no smokers because of smoking. Also, is smoker death occur before retire age is present a socio-labor inequity because of the potential work time lose because of smoking and a socioeconomic inequity because of all economic benefits no obtained because of smoking given by the smoker earlier death [11]. The relative labor lose attributable to smoking can be by touchable absenteeism or untouchable absenteeism. The touchable absenteeism occur when the smoker worker isn´t physically present at workplace because of the morbidity attributable to smoking while the untouchable absenteeism occur when the smoker worker use part from the labor time to smoke although keep physically at workplace [10–12]. Each labor productivity lose will depend from the specific characteristic of the smoking impact. In general way can be identified two main social inequity form because of labor productivity lose attributable to smoking: a socio-labor inequity and a socioeconomic inequity. The socio-labor inequity is determined by the potential labor time lose because of smoking and the socioeconomic inequity is determined by all economic costs related to each social inequity form attributable to smoking by labor productivity lose. In general way, understand the social inequity attributable to smoking by all causes may adopt better social policies agree with the particular smoking impact. That’s why the smoking control is interesting for all societies but specially for the fiscal authorities [13, 14].

Conclusion

The smoking social costs are the best measure rate for the smoking social inequity. The direct social costs by morbidity determine the socio-epidemiologic and the socioeconomic inequity attributable to smoking by this way. In this case the epidemiologic burden and the economic burden are the main rate to explain the social inequity attributable to smoking by the smoking direct costs. By other side, smoking social costs by labor productivity lose attributable to smoking determine the socio-labor inequity and the socioeconomic inequity because of labor productivity lose attributable to smoking. In this case the potential labor time lose determines this social inequity.

References

  1. Toledo Curbelo GJ (2008) Fundamentos de Salud Pública. Segunda edición.  Pág La Habana: Ciencias Médicas Pg No: 184–186.
  2. Fernández Hernández F, Sánchez González E (2018) Algorithm to calculate the smoking economical burden in active and passive smokers. MOJ Toxicol 4: 373–375.
  3. Fernández Hernández F, Sánchez González E (2019) La carga económica del tabaquismo. España: Editorial Académica Española.
  4. Varona Pérez P, García Roche G, Willams Fogarty A, Britton J (2015) Mortalidad por cáncer de pulmón y cardiopatía isquémica atribuible al tabaquismo pasivo en Cuba – 2011. Rev Cubana HigEpidemiol 53.  Disponible en: http://www.revepidemiologia.sld.cu/index.php/hie/article/view/55.
  5. Fernández Hernández F, Sánchez González E (2019) Economic Inequity Attributable to Smoking Ratio’s for the Public Health. Health Econ Outcome Re Open Access 4: 161.
  6. Fernández Hernández F, Sánchez González E (2019) The socioeconomic inequity attributable to smoking.  Journal of Medical Practice and Review 3: 559–562. Disponible en http://jmpr.info/index.php/jmpr/index,
  7. Fernández Hernández F, Sánchez González E (2017) Impacto del tabaquismo en el presupuesto sanitario de Cuba 1997–2014. Revista del Hospital Psiquiátrico de La Habana 14. Disponible en: http://revhph.sld.cu/index.php/hph/article/view/31.
  8. Sánchez González E, Fernández Hernández F (2019) A view for the morbidity attributable to smoking since the microeconomic. Trends in Research 2: 1–2.
  9. Fernández Hernández F, Sánchez González E (2017) Carga epidemiológica vs carga económica del tabaquismo por morbilidad. Rev Ciencias Médicas 21: 60–66. Disponible en: http://scieloprueba.sld.cu/scielo.php?script=sci_arttext&pid=S1561-31942017000200009&lng=es,
  10. Sánchez González E, Fernández Hernández F (2016) La pérdida de productividad laboral atribuible al tabaquismo. Revista Cubana de Salud y Trabajo17: 57–60.
  11. Sánchez González E, Fernández Hernández F (2018) Costo social por pérdida absoluta de productividad laboral. Revista Cubana de Salud y Trabajo 19: 33–39.
  12. Fernández Hernández F, Sánchez González E (2017) Pérdida de productividad por el consumo de cigarrillos en la jornada laboral. Revista Cubana de Salud y Trabajo 18: 9–12.
  13. Sánchez González E, Fernández Hernández F (2018) La relación entre la política tributaria y el control del tabaquismo en Cuba. CCM 22: 238–249. Disponible en: http://scieloprueba.sld.cu/scielo.php?script=sci_arttext&pid=S1560-43812018000200005&lng=es.
  14. Sánchez González E, Fernández Hernández F (2017) El rol de las autoridades fiscales en el control del tabaquismo. Rev Ciencias Médicas 21: 62–67. Disponible en: http://scielo.sld.cu/scielo.php?script=sci_arttext&pid=S1561-31942017000300010&lng=es.

GPs should actively ask about Symptoms of Urinary or Faecal Incontinence in Ageing Female Patients

Abstract

Objectives: To investigate how common incontinence problem is and how it could be detected in an unselected population.

Methods: Cross-sectional study in primary care population. A population survey of women born in 1948 or 1950 and living in a municipality with 19,535 inhabitants in south-western Finland in 2017. Main outcome measures were incidence of urinary or faecal incontinence.

Results: After analyzing the questionnaires and research findings, we found that urinary incontinence is a common phenomenon, reported by 50.3% of participants. According to the Urinary Incontinence Severity Score (UISS), 12.7% of them believed that the degree of disability was remarkable, and according to the Visual Analogue Scale (VAS), 18.3% considered the degree of disability to be difficult. In this study obesity was the most common feature affecting urinary incontinence.

Conclusion: Urinary incontinence is a common problem and will increase as the population ages. It can deteriorate a person’s quality of life, increase her need of care and involve considerable costs. Preventing the problem and treating it as early as possible in primary health-care is both reasonable and saves time and money.

Keywords

Conservative Treatment, Lifestyle, Medication, Quality of life, Urinary incontinence

Key message

Urinary incontinence is a common problem in the ageing female population. Many women are ashamed of their incontinence and do not even mention it during the GP’s consultation. Preventing the problem and treating it as early as possible in primary healthcare is important.

Introduction

The ageing of the population has changed morbidity rates. Part of this change can be explained by lifestyle, but part is connected only to ageing. Furthermore, some of the changes can impair one’s health related quality of life. Urinary or faecal incontinence affects many women. Based on a broad population survey, Norwegian researchers estimate that the prevalence of incontinence problems is about 25%. Estimating the extent of the problem is difficult due to the embarrassment connected with incontinence. Furthermore, diverse definitions of incontinence may complicate the estimation. According to the survey, 25% of participants experienced inconvenience that lessened their quality of life while 7% had significant incontinence problems. These women should be regarded as potential patients. Those with fewer problems should be offered information and advice on self-care [1]. Traditional predisposing factors for incontinence include ageing, childbearing, obesity and menopause [2]. Examples of lifestyle factors possibly associated with incontinence include smoking and a low level of physical activity [3]. Norwegian researchers have also found a strong association between diabetes and urinary incontinence, especially for urge incontinence and a severe degree of incontinence [4]. Many drugs can also cause incontinence, such as diuretics, cholinergics, sedatives or combinations of drugs.This pilot study aims to investigate how women needing medical treatment for their symptoms of incontinence might be detected in an unselected population. According to researchers, urinary incontinence may improve considerably through conservative treatment in general practice [5], and therefore it is important to find easy and cost-effective methods to relieve women’s symptoms.

Methods

Selection of study subjects

Information for women born in 1948 or 1950 and living in a municipality with 19,535 inhabitants (as of 31.8.2017) in south-western Finland was obtained from the Population Register Centre. The researchers mailed an information letter about the study and a consent form with a return envelope to all women in these age groups. Those who accepted the invitation and provided informed consent received questionnaires about pelvic-floor symptoms and were scheduled for an appointment during consulting hours at the gynaecological clinic of Turku University Hospital.

Questionnaires and measurements

Sociodemographic data including date of birth, marital status, education and occupation, were collected. Marital status was coded as solitary (single, divorced, widowed) or in a relationship (married, cohabiting). The participants were asked about smoking, alcohol use and medication (including systemic or local hormone treatment). Also, inquiries were made about parity and possible diseases. Height and weight were measured, and body-mass index (BMI) was calculated. BMIs were classified according to WHO criteria [6]. A trained research nurse measured blood pressure and checked the questionnaires with the examinees. Symptoms related to incontinence and their degrees of inconvenience were retrieved from the following validated questionnaires: the Urogenital Distress Inventory(UDI-6) [7], the Incontinence Impact Questionnaire (IIQ-7) [7], the Urinary Incontinence Severity Score (UISS) [8] and the Detrusor Instability Score (DIS) [9]. Quality of life was classified according to the Finnish 15-dimensional measure of health-related quality of life questionnaire (15D) [10]. We classified the results of UISS as follows: <25% indicated slight disability, 25–75% indicated clear disability and >75% indicated remarkable disability. The degree of disability with regard to incontinence was also evaluated using the Visual Analogue Scale (VAS) (10), with the degree of disability being classified from 0 to 10. We considered values 0–2 as insignificant disability, values 3–5 as remarkable disability and values 6–10 as difficult disability. A gynaecologist examined all participants and gynaecological vaginal ultrasound was performed. The cough stress test was performed with a comfortably filled bladder. In addition, general muscle condition was evaluated in this research according to the chair-stand 5 test. We used Finnish population norms for 60- to 69-year-old women. The norms are based on the Health 2000 health examination survey [11].

Statistical analysis

The research data were coded in Excel format without personal identifiers and statistical analyses were performed using the SPSS program. The data are presented as counts with percentages. Statistical comparisons of the baseline characteristics between groups were made by the χ² test. The significance level of P-values was set at 0.05.

Ethics

The research is registered with the Clinical Trials gov. ID: NCT02338726. The Ethics Committee of the Hospital District of Southwest Finland approved the study.

Results

The invitation to participate in the study was sent to 242 women, of whom 143 accepted, resulting in a participation rate of 59%. Urinary incontinence was a common phenomenon, with 72 women (50.3%) reporting that they suffered from it. The characteristics of the participants are presented in (Table 1). Faecal incontinence was suffered by 18 women (12.6%) and this had a correlation to urinary incontinence (P=0.013). According to the Finnish UISS questionnaire evaluating the degree of disability, 12.7% of the participants believed that the inconvenience of their incontinence was remarkable. One questionnaire of those that reported urinary incontinence was omitted because the answers were missing to all the questions concerning the subject at issue. According to the VAS, 41 participants (57.7%) who had reported having urinary incontinence believed that the inconvenience was insignificant, while 13 participants (18.3%) described the problem as difficult.

Table 1. Characteristics of the participants (n=143) in a population survey of Finnish women at menopause in order to detect urinary or faecal incontinence.

 

Women with urinary Incontinence
n = 72 (50.3%)

Women without urinary incontinence
n = 71 (49.7%)

P-value

 

Demographics

 

 

 

   solitary

19 (61.3%)

12 (38.7%)

0.17

   in a relationship

53 (47.3%)

59 (52.7%)

 

BMI

 

 

0.40

   normal weight

28 (46.7%)

32 (53.3%)

 

   overweight

25 (46.3%)

29 (53.7%)

 

   obese

12 (60.0%)

8   (40.0%)

 

   severely obese

5   (83.3%)

1   (16.7%)

 

   morbidly obese

1   (50.0%)

1   (50.0%)

 

Current smokers

9   (50.0%)

9   (50.0%)

0.98

Education

 

 

0.37

   comprehensive school

22 (47.8%)

24 (52.2%)

 

   vocational school

46 (54.1%)

39 (45.9%)

 

   college

RR systolic

   normal            

   high

RR diastolic

   normal

   high  

Parity

  nulliparous

  1–2parturitions

  3–5parturitions

4   (33.3%)

 

17 (54.8%)

55 (49.1%)

 

42 (49.4%)

30 (51.7%) 

 

  5 (55.6%)

52 (53.1%) 

15 (41.7%)

8   (66.7%)

 

14 (45.2%)

57 (50.9%)

 

43 (50.6%)

28 (48.3%)

 

  4 (44.4%)

46 (46.9%)

21 (58.3%)

 

0.57

 

 

0.79

 

 

0.48

Forty-two percent of the participants (n=60) were of normal weight. The combined proportion of obese, very obese or morbidly obese participants was 19.7% (n=28). Obese women reported significantly more severe urinary incontinence. In our data 4 from 60 women (8.2%) of normal weight and two from 54 overweight women (4.1%) believed that the inconvenience was extreme, while five obese women (31.3%) and two severely obese women (33.3%) estimated that the inconvenience was difficult (P=0.035). In the chair-stand 5 test measuring muscle strength, 69 women (50.0%) had a result that was better than average while 28 (20.3%) had a worse than average result. Muscle condition and urinary incontinence had no significant correlation in this population, and parity also had no influence on incontinence in this research. The number of current smokers was quite small and was equal in the group that suffered from incontinence and the group that did not, with nine (50%) found in each group. According to the AUDIT-C evaluation unhealthy alcohol use was rare. Only six women consumed more than five measures of alcohol per week which is estimated to be largest safe quantity for women [12]. Medications for hypertension, diabetes, hyperlipidaemia and thyroid insufficiency were the most commonly used: 29.6% of participants used no medication, and 54.9% used from one to four medications. No statistical correlation was found between urinary incontinence and multi-medication. The effects of hormone replacement therapy (HRT) on urinary incontinence was also studied. During the time of research, 49women (34.27%) used HRT: 26 of those women (53.06%) used vaginal oestrogen, 12 (24.49%) used systemic therapy and 11 (22.45%) used both. The use of any type of HRT did not have a statistically significant influence on urinary incontinence (P=0.81).

Discussion

This article aims to describe the problem of incontinence from the GP’s point of view. Urinary incontinence is known to be a common problem in the ageing female population. However, its assessment is complicated by the nature of the problem. Many women are ashamed of it and do not even mention their complaint if they are not asked about it during the GP’s consultation [13]. Even more hidden problem is faecal incontinence, which was quite rare in our material but was correlated to urinary incontinence. Participation rates in incontinence studies vary. In a large postal survey of 29,500 women in France, Germany, the United Kingdom and Spain, the response rate varied from 45–64% [14]. Strong evidential data suggest, however, the existence of a potentially high level of expressed but unmet need [15], so further research is needed to assess the knowledge and attitudes of primary-care staff [15]. The participation rate in our research was quite good. In a semi-urban population, such as ours, many women regularly visit their private gynaecologist and perhaps consequently might not want to participate in a study of this kind. However, better participation rates of 86% and 78% were reported in the Norwegian HUNT2 and EPINCONT studies, respectively, among women of corresponding age [1]. The complete HUNT 2 survey covered many topics, for example, mental health, cardiovascular diseases, asthma and urinary incontinence [1]. The EPINCONT study is part of a large survey (HUNT 2) where women answered a questionnaire concerning urinary incontinence [1]. The patients didn’t participate any clinical examination. The participants in our study were slightly more slender than the women in the FINRISKI 2012-study [16], but otherwise the participants were representative of the ordinary Finnish female population of corresponding age. The percentage of urinary incontinence problems was quite high in our material. This could be due to selection bias. Because we wanted to study urinary incontinence, it may be that women who suffered from the problem wanted especially to participate. On the other hand, the degree of problem can be considered quite insignificant in over half of the participants. Excess weight turned out to be a significant variable. According to international studies, obesity is the condition chiefly associated with urinary incontinence, and waist circumference is also a strong predictor for the incident of urinary incontinence [17]. Weight loss may be associated with improvement of the problem and also of the patient’s quality of life [18]. Public-health professionals should bring up the problem of incontinence when they are dealing with overweight and obese patients. People may feel that the risks of overweight are distant, particularly with regard to disease, but incontinence is often a practical concern and causes deterioration of health- related quality of life.

The benefits of sport for general health are well-known. Women should learn and practice exercises for the pelvic-floor muscles for the whole of their life, not only after giving birth. Overweight and diabetic women particularly, as well as pregnant women and those who exercise regularly for high-level athletics should remember the importance of training these muscles [19]. Although manual work is less common and working life has become easier, some occupations are still dominated by women. Lower urinary-tract symptoms are reported to be a significant concern among the female nursing workforce [20]. In our study, the participants were on average in good condition. Our research data offer much material for specialists, but the family doctor must remember the problem and ask about it. Initial diagnostic testing, such as the cough stress test, can be conducted by the general practitioner in addition to a gynaecological examination. However, this does not reveal women with an overactive bladder or urgency incontinence. There are helpful questionnaires available for this purpose. Patient education is the first step in the management of urinary incontinence. The patient can be sent to a physiotherapist for instructions in pelvic-floor muscle training. Anticholinergic medication or vaginal oestrogen therapy [21] can be initiated in general practice as well as mirabegron which is a beta-3-agonist and its efficiency on urge incontinence is like anticholinergics but side effects are different [22]. A simple questionnaire could be an easy and time-saving method for detecting patients with urinary incontinence who could be helped in primary healthcare. Correspondingly, there should be simple regional guidelines for referrals to specialist healthcare. In a recent Dutch study, it has been assumed that the prevalence and incidence of urinary incontinence will rise in an ageing population. It is therefore vital to address this problem in order to reduce it and improve the quality of life of the elderly and reduce the costs and time invested in healthcare [23]. Public health nurses play a key role in this work together with general practitioners. The weakness of our pilot study is the small size of the sample. On the other hand, the strengths of the study include the random group of population-based respondents, the fact that every participant was examined objectively and the fact that the questionnaires could be completed with the assistance of the research nurse when needed.

Conclusion

Urinary incontinence is a common problem, and it will increase with the ageing of the population, especially among those who have any other chronic problem. Urinary incontinence can lessen a person´s quality of life, increase her need of care and involve considerable costs. Preventing the problem and treating it as early as possible in primary healthcare is both reasonable and time and cost effective.

Funding support

Support was provided by Turku University Hospital EVO-funding and the Päivikki and Sakari Sohlberg Foundation.

References

  1. Hannestad Y, Rortveit G, Sandvik H, Hunskaar S (2000) A community-based epidemiological survey of female urinary incontinence: The Norwegian EPINCONT study.  J Clin Epidemiol 53: 1150–1157. [crossref]
  2. MacLennan A, Taylor A, Wilson DH, Wilson D (2000) The prevalence of pelvic floor disorders and their relationship to gender, age, parity and mode of delivery. BrJ Obstet Gynaecol 107: 1460–1470. [crossref]
  3. Hannestad YS, Rortveit G, Daltveit AK, Hunskaar S (2003) Are smoking and other lifestyle factors associated with female urinary incontinence? The Norwegian EPINCONT Study.  BrJ Obstet Gynaecol 110: 247–254. [crossref]
  4. Ebbesen M, Hannestad Y, Midthjell K, Hunskaar S (2007) Diabetes and urinary incontinence – prevalence data from Norway. Acta Obstet Gynecol Scand 86: 1256–1262. [crossref]
  5. Holtedahl K, Verelst M, Schiefloe A (1998) A population based, randomized, controlled trial of conservative treatment for urinary incontinence in women.  Acta Obstet Gynecol Scand 7: 671–7. [crossref]
  6. Global Database on Body Mass Index. BMI classification. WHO 2000.
  7. Uebersax J, Wyman J, Schumaker S, McClish DK, Fantl JA (1995) Short forms to assess life quality and symptom distress for urinary incontinence in women: the Incontinence Impact Questionnaire and the Urogenital Distress Inventory. Continence Program for Women Research Group. Neurourol Urodyn 14: 131–139. [crossref]
  8. Mäkinen J, Kujansuu E, Korhinen N, Penttinen J (1992) Evaluation and care of urinary incontinence in public health organisations. Finnish Medical Journal 47: 2372–2375.
  9. Kauppila A, Alavaikko P, Kujansuu E (1982) Detrusor instability score in the evaluation of stress urinary incontinence.  Acta Obstet Gynecol Scand 61: 137–141. [crossref]
  10. Stach-Lempinen B, Kujansuu E, Laippala P, Metsänoja R (2001) Visual analogue scale, urinary incontinence severity score and 15D-psychometric testing of three different health-related quality of life instruments for urinary incontinent women.  Scand J Urol Nephrol 35: 476–483. [crossref]
  11. Aromaa A, Koskinen S [2002] Health and functional capacity in Finland. Baseline results of the Health 2000 health examination survey. Publications of the National Public Health Institute. Helsinki 2002. The permanent address of the publication is
    http://urn.fi/URN:ISBN:951-740-262-7
  12. Kriston L, Hölzel L, Weiser AK, Berner M, Härter M (2008) Meta-Analysis: Are 3 Questions Enough to Detect Unhealthy Alcohol Use? Ann Intern Med 149: 879–888. [crossref]
  13. Shaw C, Das Gupta R, Bushnell D, Assassa P, Abrams P, et al. (2006) The extent and severity of urinary incontinence amongst women in UK GP waiting rooms. Fam Pract 23: 497–506. [crossref]
  14. Hunskaar S, Lose G, Sykes D, Voss S (2004) The prevalence of urinary incontinence in women in four European countries.  BJU Int 93: 324–330. [crossref]
  15. Shaw C, Das Gupta R, Williams K, Assassa P, McGrother C (2006) A survey of help-seeking and treatment provision in women with stress urinary incontinence. BJU Int 97: 752–757. [crossref]
  16. Männistö S, Laatikainen T, Vartiainen E. National Institute for Health and Wellfare. Finnish obesity before and now. The National FINRISK study 2012. The permanent address of the publication is http://urn.fi/URN:ISBN:978-952-302-054-2
  17. Matthews C (2014) Risk factors for urinary, fecal or double incontinence in women. Curr Opin Obstet Gynecol 26: 393–397. [crossref]
  18. Pomian A, Lisik W, Kosieradzki M, Barcz E (2016) Obesity and pelvic floor disorders: A review of the literature. Med Sci Monit 22: 1880–1886 [crossref]
  19. Newman D, Cardozo L, Siever, KD (2013) Preventing urinary incontinence in women. Curr Opin Obstet Gynecol 25: 388–394. [crossref]
  20. Pierce H, Perry L, Chiarelli P, Gallagher R (2016) A systematic review of prevalence and impact of symptoms of pelvic floor dysfunction in identified workforce groups.  J Adv Nurs 72: 1718–1734. [crossref]
  21. Keller IS, Brachlow JF, Padevit C, Kurz M, John H (2014) Urinary incontinence – what can be done by the family doctor and when is the urologist needed? Praxis 103: 1181–1189. [crossref]
  22. Duckett J, Balachandran A (2016) Tolerability and persistence in a large, prospective case series of women prescribed mirabegron. Int Urogynecol J 27: 1163–1167. [crossref]
  23. Franken M, Ramos I, Los J, Al M (2018) The increasing importance of a continence nurse specialist to improve outcomes and save costs of urinary incontinence care: an analysis of future policy scenarios. BMC Fam Pract 19: 31. [crossref]

Cone Beam Computed Tomography for Detection of Intranasal Foreign Bodies

Abstract

Introduction: Intranasal foreign bodies are common among curious young children and include toys and toy parts (beads, marbles), food (corn, beans, peas, seeds, nuts, hamburger, gum), and other small items (paper wads, cotton, erasers, pebbles, screws, sponges button batteries).

Case presentation: A 13-year-old girl presented to our department with a 2-day history of painful swelling in relation to the tooth 26. Orthopantomography and Cone Beam Computed Tomography (CBCT), revealed a hyperdense material in the left nasal cavity. It was a foreign body of irregular morphology, segmented with dimensions of 93×52×38 mm. Under local anesthesia and by direct rhinoscopy a piece of a metal toy were removed.

Conclusion: Cone beam computed tomography is a reliable method for the diagnosis of nasal foreign bodies by providing the exact location and composition

Keywords

Cone Beam Computed Tomography, Metal, Nasal Foreign Body

Introduction

Intranasal Foreign Bodies (FBs) are common among curious young children, with the right nostril favoured by right-hand dominant patients [1]. They are classified as organic FBs (such as nuts, legumes, seeds, or chicken) or inorganic FBs (such as toys, pen tops, battery, or stones/shells). Overall, items of jewellery are the most common foreign bodies requiring removal in children, accounting for up to 40% of cases. In the nose, jewellery is followed by paper and plastic toys, whereas in the ears, cotton buds and pencils are the most likely culprits after jewellery [2]. Although most foreign bodies in the ears and nose can be easily removed, alimentary or respiratory FBs injuries can have a fatal outcome. In the children, the most common anatomical locations of FB injuries differed according to age. The mean ages of children with various FB injuries were as follows: ear FB injuries, 3.7 years; nose, 2.7 years; alimentary system, 2.2 years; and respiratory system, 2.9 years [3]. In a review of all Emergency Department visits in a 5-year span, there were 6418 (3.2% of all visits) visits nationwide for management of nasal foreign bodies, only 214 (0.1%) of which were adults [4]. French et al recommend in their work that increased efforts should be made to restrict child access to beads, pearls, marbles, button batteries, coins and nuts and seeds [5]. In adult patients, however, the mechanism and force of entry must be considered as there is a greater chance of violation of the skull base and possible cerebrospinal fistula [6].

Intranasal foreign bodies may cause complications such as pain, swelling, inflammation, septal perforation, infection and migration to compromised territories. To prevent these complications, FBs should be detected and extracted promptly. Considering the gap of information on the diagnostic sensitivity of Cone Beam Computed Tomography (CBCT), this study was aimed to assess CBCT’s ability to differentiate between metallic foreign bodies and batteries. The button battery should be treated as a life threatening foreign body due to its electrochemical content and rapid tissue damage.

Clinical Presentation

A 13-year-old girl presented to our department with a 2-day history of painful swelling in relation to the tooth 26. Orthopantomography showed caries in the first left upper molar, and incidentally the presence of a foreign body on the floor of the left nostril (Figure 1). CBCT (Planmeca ProMax 3D Mid) revealed a hyperdense material in the left nasal cavity. It was a foreign body of irregular morphology, segmented with dimensions of 93x52x38 mm (Figure 2–3). These images allowed the exact location of the foreign body and know that it was not a button battery. The girl did not remember history of foreign body insertion. He reported being asymptomatic, although he noticed a moderate left nasal obstruction for two years before orthopantomography. On examination, there was extensive edema with slough in the left side of the nasal cavity. In the operating room, under local anesthesia and by direct rhinoscopy a piece of a metal toy were removed. Septal perforation was not observed.

JDMR-19-130-Junquera_Spain_F1

Figure 1. Orthopantomography. Radiodense image of irregular contour on the floor of the left nostril.

JDMR-19-130-Junquera_Spain_F2

Figure 2. CBCT. Foreign body of irregular morphology, segmented with dimensions of 93×52×38 mm and without halo sign, common in button batteries.

JDMR-19-130-Junquera_Spain_F3

Figure 3. Three-dimensional reconstruction of the foreign body.

Discussion

Pediatric nasal obstruction is one of the most common problems seen in pediatric otolaryngologists. Typically, this is not an urgent diagnosis but is more commonly associated with reduced quality of life. Allergic rhinitis is one of the most common causes of pediatric nasal obstruction, which affects 8% to 16% of children and is immunoglobulin E mediated. In younger children, nasal foreign bodies must always be on the differential of nasal obstruction. Intervention is always needed for nasal foreign body removal in order to prevent further migration distally, potentially precipitating an airway emergency. The timing of removal is often based on the foreign body involved. Batteries are always considered an emergency because of the complications associated with prolonged exposure (septal perforation, saddle nose deformity, orbital injury, synechiae). However, nasal foreign bodies can often be removed without general anesthesia if the child is cooperative [7]. Alkaline batteries cause extensive necrosis and tissue destruction. Possible mechanisms include spontaneous electrolyte leakage with liquefactive necrosis and destruction of tissue, and generation of electrical current causing an electric burn [8–10].

In our case, unlike many other cases, the nasal foreign body may remain asymptomatic for a long time. Our patient had only a complaint of nasal stuffiness. This is an unusual case of a large chronic nasal foreign body with no known history of insertion. If the patient had indeed had symptoms for the previous two years, this suggests the foreign body was inserted when he was around age 11, which would be unusual in a child without learning disability. Identification and localization of foreign bodies are based on history, clinical and radiographic examinations. Various imaging modalities, including, periapical radiographs, plain radiography, Computed Tomography (CT), and ultrasonography, have been advocated for detecting FBs. Radiographs detected FBs generally considered radiopaque (gravel, glass, metal) in 98% of cases, but do not detected radiolucent (wood, plastic, cactus spine) bodies. The false-negative and false-positive rates for radiography are 50% and 1.6%, respectively [11,12]. Periapical radiographs are the primary diagnostic aid used in identifying the foreign bodies. However, these are not helpful in the identification of cases, in which foreign body sizes are <2 mm or in identifying the exact locations of the objects. These problems can be overcome by advanced diagnostic and imaging aids such as CT, and Cone Beam Computed Tomography. CBCT provides images at low dose with sufficient spatial resolution, which can be applied in diagnosis, treatment planning, and post-treatment evaluation. CBCT has higher spatial resolution and greater ability to detect high-density foreign bodies as small as 0.5 mm [13, 1 4]. In our case discarded the diagnosis of button batteries.

Conclusion

Within limits of this case report, Cone beam computed tomography is a reliable method for the diagnosis of nasal foreign bodies, by providing the exact location and composition.

References

  1. Grigg S, Grigg C (2018) Removal of ear, nose and throat foreign bodies: A review. Aust J Gen Pract 47: 682–685.
  2. Foltran F, Ballali S, Passali FM, Kern E, Morra B, et al. (2012) Foreign bodies in the airways: a meta-analysis of published papers. Int J Pediatr Otorhinolaryngol 14: 12–19.
  3. Park JW, Jung JH, Kwak YH, Jung JY (2019) Epidemiology of pediatric visits to the emergency department due to foreign body injuries in South Korea: Nationwide cross-sectional study. Medicine (Baltimore) 98: e15838.
  4. Svider PF, Sheyn A, Folbe E, Sekhsaria V, Zuliani G, et al. (2014) How did that get there? a population-based analysis of nasal foreign bodies. Int Forum Allergy Rhinol 4: 944–949.
  5. French MA, Lorenzoni G, Purnima, Azzolina D, Baldas S, et al. (2019) Foreign Body injuries in children in India: Recommendations for prevention from a comparative analysis with international experience. Int J Pediatr Otorhinolaryngol 124: 6–13.
  6. Gray ML, Kappauf C, Govindaraj S (2019) Management of an Unusual Intranasal Foreign Body Abutting the Cribriform Plate: A Case Report and Review of Literature. Clin Med Insights Ear Nose Throat 12: 1179550619858606.
  7. Smith MM, Ishman SL (2018) Pediatric Nasal Obstruction. Otolaryngol Clin North Am 51: 971–985.
  8. Bakshi SS (2019) A button battery in the nose. Intern Emerg Med 14: 185–186.
  9. Cheng SY, Shih CP (2018) Button battery insertion in nose manifested as infraorbital cellulitis. Ear Nose Throat J 97: 274.
  10. Dane S, Smally AJ, Peredy TR (2000) A truly emergent problem: button battery in the nose. Acad Emerg Med 7: 204–2006.
  11. Watanabe K, Hatano GY, Aoki H, Okubo K (2013) The necessity of simple X-ray examination: a case report of button battery migration into the nasal cavity. Pediatr Emerg Care 29: 209–211.
  12. Ryu CH, Jang YJ, Kim JS, Song HM (2008) Removal of a metallic foreign body embedded in the external nose via open rhinoplasty approach. Int J Oral Maxillofac Surg 37: 1148–1152.
  13. Demiralp KO, Orhan K, Kurşun-Çakmak E, Gorurgoz C, Bayrak S (2018) Comparison of Cone Beam Computed Tomography and ultrasonography with two types of probes in the detection of opaque and non-opaque foreign bodies. Med Ultrason 20: 467–474.
  14. Kaviani F, Javad Rashid R, Shahmoradi Z, Gholamian M (2014) Detection of foreign bodies by spiral computed tomography and cone beam computed tomography in maxillofacial regions. J Dent Res Dent Clin Dent Prospects 8: 166–171.

Sulfonylurea Use and Cardiovascular Safety Revisited

Abstract

Sulfonylurea use has been commonplace for the management of type 2 diabetes as an adjunct to metformin over the past decades.  Their effectiveness has been repeatedly demonstrated in terms of glycemic control in the short-term however, long-term sustainable control remains in question.  Over the years, FDA mandated cardiovascular safety trials have been completed involving most newer antidiabetic therapies to the market place however, the sulfonylurea class had not been studied until the recent head-to-head cardiovascular outcomes trial involving the comparison of linagliptin, an inhibitor of DPP-IV,  with glimepiride in the CARMELINA study where non-inferiority was demonstrated in both treatment groups.  While this finding seems to be reassuring, does it really confer safety of use of sulfonylurea drugs in the management of type 2 diabetes?

Keywords

Sulfonylurea, DPP-IV inhibitor, diabetes, cardiovascular disease, major adverse cardiovascular event, type 2 diabetes, hypoglycemia, arrhythmia

Guidelines

Since the evolution of the management of diabetes and hyperglycemia, respected societies globally have been providing guidance with respect to such management.  Since the availability of such drugs, the class of sulfonylurea was adapted and implemented.  After metformin was approved for use, the sulfonylurea was recognized as the second agent for intensification.  Over recent years and on the basis of newer agents which demonstrated safety that have become available, namely incretin agents and urinary SGL T2 inhibitors, the sulfonylurea class has found its way on the bottom of such algorithms, as per the American Association of Clinical Endocrinologists [1] on the basis of safety and efficacy, and as one of the executable options of those financially challenged, according to the joint consensus statement from the American Diabetes Association and European Association for the Study of Diabetes, recently revised in the first quarter of 2019 [2]. While these statements and guidelines are consensus or expert based, they are recommendations that are soundly based on their demonstrated safety and efficacy, but even then, the choice of not following such recommendations is routinely exercised.

Development of sulfonylurea

The first agents that were discovered in the sulfonylurea class was in 1942 where sulfonamides were noted to reduce blood sugar in non-human studies, leading way to the development of Carbutamide, which was very quickly withdrawn from the market place because of apparent hematologic disease, particularly on the bone marrow [3]. Second-generation sulfonylureas that became available differed from their first-generation counterparts because of differences in absorption and metabolism.  For this reason, the second-generation agents have been credited with fewer hypoglycemic events relative to their first-generation counterparts, but still differ greatly based on molecular formulation whereas glimepiride is noted to produce hypoglycemia in 2% to 4% patients compared to glyburide, noted to produce hypoglycemia in 20-30% of patients with the reason being  better preservation of prevention of insulin secretion and promotion of glucagon secretion [6].

Mechanism of action

The mechanism of action described as that of insulin secretion out of the pancreatic beta cell independent of what the blood glucose level in circulation may be in addition to having a decreased effect on hepatic insulin clearance.  This insulin secretory effect is largely as a consequence of blocking potassium inflow into the cells through a DPP dependent channel.  This leads to membrane repolarization leading to increase cellular inflow of calcium into these beta cells leading to filamentous contraction of actinomysin with subsequent secretion of large quantities of insulin from that beta cell.  While insulin is secreted in 2 phases largely, it appears that the effect of the sulfonylurea tends to be more so on the second phase of secretion.  However, review of the literature demonstrates that there might be down-regulation of sulfonylurea receptors on the surface of beta cells with long-term use, with increased expression of those very receptors after discontinuation of treatment with sulfonylurea over a certain period of time [3].

Sustainability

Large-scale clinical trials have been performed over the years to evaluate the development of microvascular and macrovascular complications associated with the management of patients with type 2 diabetes.  Amongst these were the United Kingdom Prospective Diabetes Study [4] and the ADOPT trial [5].  In both of these trials, different agents were studied that included insulin, the sulfonylurea group, and metformin.  The p-par gamma molecule, rosiglitazone, was also studied in the ADOPT trial.  It was interesting to note that in these 2 large-scale trials, the sulfonylurea class led to a rapid reduction in hemoglobin A1c that seemed to worsen by about the second year of therapy, or thereafter with a subsequent rise suggesting treatment failure.  Progressive dysfunction and worsening insulin secretion has been noted with sulfonylurea use despite better glycemic control in the short-term.  This phenomenon has been labeled as secondary failure and is an outcome shortly to be expected with chronic sulfonylurea use.  While not terribly well understood, and as mentioned above, is likely related to down-regulation of sulfonylurea receptors on beta cell surface membrane [3].  Thus there appears to be multiple factors that might be contributing to lack of sustainability in hemoglobin A1c control and these stem from increasing pressures that lead to accelerated apoptosis or cell death, and other mechanisms yet to be discovered that may perhaps be implemented in the future for beta cell preservation.  Thus on the basis of demonstrated lack of sustainability of hemoglobin A1c, one can assume that treatment with a sulfonylurea would offer very little on beta cell mass preservation or persistent improvement in beta cell function.

Safety

Use of any pharmacologic agent for management of chronic disease may have adverse events associated with them, even though they may be curtailing the natural history of the original disease state.  For the sulfonylurea class, however, the most worrisome challenges include progressive weight gain, as evidenced in numerous large-scale clinical trials, and the risk of developing significant hypoglycemia, which itself is challenging in diagnosing, particularly nocturnal hypoglycemia, which often goes unrecognized.  When reviewing the literature, there has been significant variability in nocturnal hypoglycemia listed ranging anywhere from 20-40% depending on which study was reviewed and with which sulfonylurea.  However, what is the cost of hypoglycemia?  From a physiologic standpoint, significant electrolyte aberrancies can occur including potassium shifting intracellularly as well as effect on the myocyte cycle with noted QT prolongation [7]. Such occurrences can lead to significant dysrhythmia and lethal arrhythmia.  It is thought that such unpredictable variability in glycemic control may have been part of the reason why an increased mortality may have been observed in the ACCORD Action to Control Cardiovascular Risk in Diabetes) trial where the forced titration hemoglobin A1c target was a value of less than or equal to 6%.  It is interesting to note that the majority of the cardiovascular events recorded were in the population of patients who is hemoglobin A1c did not change very much despite aggressive management, suggesting much glycemic variability [12].

Cardiovascular outcomes

Several studies have been published looking at particular cardiovascular adverse events with the use of sulfonylureas.  The data seems to be quite variable.  Data reviewing the UK Clinical Practice Research Data Link, published in 2017, reviewed short acting and nonspecific long-acting sulfonylurea with no significant increase in noted myocardial infarction, ischemic stroke or cardiovascular death between both long and short acting agents however, with significant risk of severe hypoglycemia in the long-acting agents [8].  In another study accepted for publication in June 2018 assessed whether adding or switching to sulfonylurea is associated with an increased risk of major adverse cardiovascular events including all-cause mortality.  This study did demonstrate an increased risk of myocardial infarction and all-cause mortality, with no differences in cardiovascular death or severe hypoglycemia [9].

As part of the management of diabetes, which is complex already to begin with, newer agents with lower hypoglycemic potential when used as monotherapy or combination therapy with metformin have gained significant traction on the basis of their safety record demonstrating no increased cardiovascular risk or reduction in cardiovascular risk.  Such therapies include DPP 4 inhibitors, GLP-1 receptor agonists, and urinary SGL T2 receptor blockers.  Only recently has a cardiovascular outcomes trial been completed where the DPP 4 inhibitor linagliptin was studied with the active comparator being the sulfonylurea glimepiride in the CAROLINA trial [10].  The purpose of this trial was to establish noninferiority between these 2 agents with respect to cardiovascular risk.  However, since no cardiovascular studies have been performed looking at glimepiride, cardiovascular safety was demonstrated with the DPP 4 Linagliptin versus placebo in the CARMELINA study where noninferiority was achieved [11]. In the active comparator CAROLINA (CARdiovascular Outcome study of LINAgliptin versus glimepiride in patients with type 2 diabetes) study, the primary endpoint defined as noninferiority of linagliptin versus glimepiride in time to first occurrence 3 point MACE was satisfied.  The study was an event driven trial involving 6979 patients with the median duration of the study being 2.2 years.  Population involved was on average 62 years of age with 34% having had established cardiovascular disease and 28.6% of those in the trial having been treated with a sulfonylurea agent for less than 5 years.  Noninferiority for major adverse cardiovascular events was indeed demonstrated, albeit with significantly greater hypoglycemia noted in the glimepiride treatment group (10.6% versus 37.7%).

Conclusion

Sulfonylurea use over the past decades has been welcomed by a sense of comfort and demonstrated rapid efficacy, although of limited benefit.  Weight gain and hypoglycemia still seems to be the most worrisome adverse events with these agents, and a myriad of physiologic effects as a consequence of those hypoglycemic events will pose significant challenges toward their continued use.  While electrolyte shifting and effects on QT intervals increase risk of cardiac arrhythmia, there was no increase in cardiovascular mortality that was noted in the glimepiride subgroup, treated to a maximum of 4 mg daily, in the CARMELINA study.  Of note was the fact that those enrolled in the clinical trial was a lower cardiovascular risk population, albeit older.  The fact that there was no increase in cardiovascular events noted in this clinical trial was reassuring but should not be translated to the sulfonylurea class in general as only glimepiride use was allowed by trial design.  The observed risk reduction cannot be and should not be extrapolated to other sulfonylureas, and while safety was demonstrated from a cardiovascular standpoint in this low risk population, there exists uncertainty of whether or not similar findings would be seen in a higher risk population.  Therefore, it’s important for the prescriber to be aware that differences in this class of agents need to be taken into consideration in order to avoid a false sense of reassurance.

List of abbreviations

UKPDS- United Kingdom Prospective Diabetes Study

ADOPT- A Diabetes Outcome Progression Trial

GLP-1 receptor agonist-glucagon-like peptide 1 receptor agonist

SGL T2 receptor inhibitor-sodium glucose transport protein 2 inhibitor

SU-sulfonylurea

DPP 4 or DPP IV-Dipeptidyl peptidase 4

MACE Major Adverse Cardiovascular Events

Declaration

Compliance with Ethics Guidelines

This article is based on previously conducted studies and does not contain any studies with human participants or animals performed by any of the offers of this publication

Consent for publication

The author has given his approval for the version of this manuscript to be published

Competing interests/Disclosures

Dr. Javier Morales is on the speakers Bureau of Novo-Nordisk, Eli Lilly and company, Boehringer Ingelheim, Janssen pharmaceuticals, Mylan pharmaceuticals, and Abbott Laboratories, and serves as consultant, as well as having participated in advisory board meetings for the above-named entities.

Authorship

The author meets the International Committee of Medical General Editors (ICMJE) criteria for authorship for this article, take responsibility for the integrity of the work as a whole

Availability of data and material

This article is based on previously conducted studies and thorough literature review was conducted during authorship of this manuscript

Funding

No funding or sponsorship was received for this publication or article processing charges

Acknowledgments

No editorial assistance was provided by any entity or company during the development of this manuscript.

References

  1. Alan J Garber, Martin J Abrahamson, Joshua I Barzilay, Lawrence Blonde, Zachary T Bloomgarden, et al. (2019) Consensus Statement By The American Association Of Clinical Endocrinologists And American College Of Endocrinology On The Comprehensive Type 2 Diabetes Management Algorithm – 2019 Executive Summary. Endocrine practice 25: 1 
  2. Introduction: Standards of Medical Care in Diabetes (2019) Diabetes Care. 42: 1-2.
  3. Daniele Sola, Luca Rossi, Gian Piero Carnevale Schianca, Pamela Maffioli, Marcello Bigliocca, et al. (2015) Sulfonylureas and their use in clinical practice. Arch Med Sci 11: 840–848.
  4. UK Prospective Diabetes Study (UKPDS) Group (1998) Effect of intensive blood-glucose control with metformin on complications in overweight patients with type 2 diabetes (UKPDS 34).  The Lancet 352: 854–865.
  5. Giancarlo Viberti, Steven E. Kahn, Douglas A Greene, William H Herman, Bernard Zinman, Rury R Holman, et al. (2002) A Diabetes Outcome Progression Trial (ADOPT). Diabetes Care 25: 1737–1743.
  6. Mark T Keegan (2013) Pharmacology and Physiology for Anesthesia.
  7. Laitinen T, et al. (2008) Ann Noninvasive Electrocardiology 13: 97–105.
  8. Antonios Douros, Hui Yin, Oriana Hoi Yun Yu, Kristian B. Filion, Laurent Azoulay and Samy Suissa (2017) Pharmacologic Differences of Sulfonylureas and the Risk of Adverse Cardiovascular and Hypoglycemic Events. Diabetes Care 40: 1506–1513.
  9. Antonios Douros, Sophie Dell’Aniello, Oriana Hoi Yun Yu, Kristian B Filion, Laurent Azoulay, et al. (2018) Sulfonylureas as second line drugs in type 2 diabetes and the risk of cardiovascular and hypoglycaemic events: population based cohort study 362
  10. CAROLINA: Cardiovascular Outcome Study of Linagliptin versus Glimepiride in Patients with Type 2 Diabetes. ClinicalTrials.gov
  11. Rosenstock J, Perkovic V, Johansen OE, Cooper ME, Kahn SE, Marx N, et al. (2019) Effect of Linagliptin vs Placebo on Major Cardiovascular Events in Adults With Type 2 Diabetes and High Cardiovascular and Renal Risk: The CARMELINA Randomized Clinical Trial. JAMA 321: 69–79.
  12. Effects of Intensive Glucose Lowering in Type 2 Diabetes (2008) N Engl J Med 358: 2545–2559

Migraine, A Review of Basic, Clinical, and Translational Approaches to New Treatment

Abstract

Migraine is a debilitating neurological primary headache disorder characterized by recurring unipolar headaches lasting 4–72 hours with accompaniment of nausea and sensory sensitivities. Migraine is the most common headache disorder resulting in seeking of medical care [1, 2], in addition to being one of the most debilitating chronic disease conditions in terms of both morbidity and lost economic productivity. Migraine incidence has been observed since ancient times to disproportionately affect women, and most current epidemiological assessments put current incidence estimates at 12% overall for US populations, with an incidence of 18% in women and 6% in men when stratified by sex. This dimorphism of incidence is crucial when assessing overall health of a community, specifically when concerning women’s health and therefore must be taken into consideration when developing both clinical and basic models of migraine to enact the best possible outcomes of combined translational research efforts. While major recent advances have been made in the field of pharmacologic intervention for migraine with the recent approval of the anti CGRP and anti CGRP receptor antibody medications, prohibitive cost and limited access have made older treatments, such as the triptans and NSAIDs, still the most commonly utilized medications to combat migraine attacks. Current preclinical research models are heavily interested in modulation of the neuropeptide CGRP, and the phenomenon of cortical spreading depression (CSD), believed to be the underlying trigger of migraine with aura, via pharmacological intervention. Modulations of these phenomena has found to be correlated with menstrual events in women, tying back to the overarching theme of higher morbidity in women. With the advent of pharmacogenomics and personalized medicine, a new epoch of potential customizable treatments looms on the horizon, endearing those afflicted with this severely debilitating condition a new glimmer of hope as research progresses into its next phase.

Acronyms: AMPP: American Migraine Prevalence and Prevention study. NIH: National Institute of Health. ICHD-3: International Classification of Headache Disorders, 3rd edition. NHIS: National Health Interview Survey. NSAID: Non-Steroidal Anti-Inflammatory Drug. CGRP: Calcitonin Gene Related Peptide. 5HT1: 5-Hydroxytryptamine (Serotonin) Receptor, Subfamily 1. FDA: Food and Drug Administration. CNS: Central Nervous System. MOH: Medication Overuse Headache. PGE2: Prostaglandin E2. CSD: Cortical Spreading depression. fMRI: Functional Magnetic Resonance Imaging. GWAS: Genome Wide Association Study. SNP: Single Nucleotide Polymorphism.

Background

Migraine is a highly debilitating neurological disorder characterized by recurring unipolar headaches with a duration of 4–72 hours, accompanied by nausea and sensory sensitivities [3]. Migraine is classified as a primary headache disorder, indicating no known underlying cause, and is the most common of all the headache disorders to result in patients seeking medical care [1, 2]. Migraine is also one of the most prevalent and disabling chronic disease conditions, in terms of both individual morbidity and lost economic productivity, with 18% of women and 6% of men in the US suffering from some form of migraine [1], with an incidence in women nearly triple that of men according to the National Health Survey. The economic burden of migraine has been assessed by the American Migraine Prevalence and Prevention study (AMPP) and estimates a mean direct annual healthcare cost burden of $4,144 per chronic migraineur in addition to an average of $5,392.03 of lost economic productivity annually [4]. When quantifying the high degree of morbidity associated with migraine, it quickly becomes evident that the need for better understanding of the underlying pathophysiology be accomplished through basic and clinical research models to aid in ablating the impact of this public health issue.

Migraine Types/Epidemiology

Migraine has been classified into several categories depending on the clinical presentation and description of the patient, these are 1) migraine without aura, 2) migraine with aura, this class includes hemiplegic migraine (including familial and sporadic), migraine with brainstem aura, retinal migraine and aura without headache. 3) chronic migraine (CM), which is defined by 15 or more “headache days” per month, for three months, in absence of medication overuse. Aura is described as a temporary visual disturbance appearing as zigzag lines, flashing lights, or temporary visual loss according to the NIH. Episodic migraine (EM) is classified as having less than 15 headache days per month for three months according to the ICHD-3. While precise estimates of migraine incidence can be difficult to ascertain due to differences in study methodology, the most recent and largest of these was the AMPP, a longitudinal study focused on 120,000 surveyed US households with recipients based on US census data. Overall incidence of migraine was reported as 12%, with 18% of women and 6% of men reporting experiencing at least one migraine attack in the previous year. Upon stratifying by gender, 17.4% of women and 5.7% of men had EM, while 1.29% of women and 0.48% of men meet diagnostic criteria for CM [5]. The disease burden of migraine is carried much more heavily by women.

Sexual dimorphism in migraine presentation: Often, migraine begins at menarche for girls, and continues until approximately age 40, at which symptomology levels off [1, 2]. It was also noted that women experience more severe pain intensity and associated disability when compared to men [6, 7]. This finding is highly significant as these are the most economically productive years for an individual woman and instantiates an even higher degree of cost burden when factoring in the higher observed incidence rate of migraine in women. Coupled to this phenomenon is the degree to which female sex hormone fluctuation during the menstrual cycle, pregnancy, and post-partum periods has been positively observed to impact not only incidence of migraines attacks, but also perceived severity [6, 7]. This chronic level of unpredictability can cause a severe amount of stress and disability at a time in a woman’s life when she is expected to be at her peak performance, both economically and in terms of social and familial commitments. For those women with children, the crippling effect of chronic or episodic migraine attacks is a cost burden most simply not afford, and those suffering under the severe duress from a typical migraine attack will still be expected to perform career duties, child care duties, social duties etc. The crippling morbidity of this condition cannot be understated, as the buildup of chronic stress due to migraine results in lost economic productivity, lost time to care for offspring, lost ability to invest in pleasurable activities, which can all contribute to a noticeable decline in long term mental health. It doesn’t take long to connect the dots here and realize the agonizingly debilitating effect this condition has on the nearly one fifth of women who suffer from it, and why addressing it is a grave public health concern to society. While studies in the US have found an inverse relationship between income and migraine [8], European studies have been more nebulous about this association, failing to replicate the results seen in the US [6].

Migraine and Race: Migraine incidence varies by race in the US, according to the AMPP study white women and men had the highest incidence (20.4%, 8.4%), followed by African Americans (16.2%, 7.2%), and lowest among Asian Americans (9.2%, 4.2%) [9]. Further surveys of underrepresented populations undertaken by the NHIS indicate highest prevalence in American Indians and Alaska Natives (19.2%), followed by whites (15.5%), African Americans (15%), Hispanic and Latinos (14.9%), Native Hawaiians and Pacific Islanders (13.2%) and Asians (10.1%) [6]. Overall, migraine is a functional pain disorder that disproportionally impacts women during their most productive years, regardless of race.

Clinical Aspects

Diagnostic criteria for the several subtypes of migraine are laid out in the ICHD-3 manual. For use as a type example, the diagnostic criteria for migraine with aura is as follows: Recurrent attacks, lasting minutes, of unilateral fully-reversible visual, sensory or other central nervous system symptoms that usually develop gradually and are usually followed by headache and associated migraine symptoms. Diagnoses of migraine invariably depend on self report by patients, and therefore accurate estimation of true disease prevalence can be difficult [10]. Patients suffering from migraine are currently treated with a host of pharmaceutical agents developed to either abort an acute migraine attack, or act as a prophylactic treatment against future attacks [11].

Treatment and sex sensitivity: Currently, the US headache consortium has outlined a 6 point objective plan to help guide physicians in treating acute migraine attacks. These are 1) treat attacks rapidly and consistently without recurrence; 2) restore patient’s ability to function; 3) minimize the use of back-up and rescue medications; 4) optimize self-care and reduce subsequent use of resources; 5) to be cost-effective for overall management; 6) have minimal or no adverse events, however achieving all of these is typically not possible with available treatments. Treatment criteria also differs by region, as some pharmaceuticals are approved in one are while others are not (ergotamines). NSAIDs and acetaminophen, with or without caffeine, are typically first line treatment for a migraine attack [12], due to their easy availability and lack of harmful side effects from frequent use. These are typically used for a mild to moderate migraine sufferer. Triptans are the current first line medications for treating moderate to severe migraine [12], they have agonist activity at the 5HT1 receptors and are believed to work through suppression of CGRP release. They are well-tolerated and demonstrate efficacy in 68% of patients in one meta-analysis [13, 14]. Use of triptans, however, are limited to a maximum use limit of 8–9 doses per month, due to fear of medication overuse headache and the potential of serotonin syndrome [15]. Some first line combination agents exist, such as sumatriptan-naproxen to maximize efficacy of both compounds. Recently on the market are the anti CGRP monoclonal antibodies and anti CGRP receptor monoclonal antibodies. These drugs have yet to be classified in this hierarchy of use, due to their prophylactic nature (once monthly/quarterly administration) and prohibitive cost (estimated cost for erenumab, $6900 annually). While considered safe by the FDA, utilization of any monoclonal antibody does carry some degree of risk of autoimmune induction. This is a relevant point here as CGRP has been shown to have immune function in both the CNS and periphery [16]. However due to the very recent availability of these drugs some time must pass before an in depth analyses can be made. A more cost effective and longer standing approach to migraine prophylaxis lies in the application of the beta blocker drug class. Being the first in their class in terms of application towards migraine treatment, they are still extensively utilized as a prophylactic treatment with the benefit of a much lower cost and tolerable side effect profile [17]. Second line drugs for acute migraine treatment include those of the anti-emetic class, such as promethazine and chlorpromazine. Last resort agents include opiates, barbiturates, ergotamines and valproate, due to either contradicting results, abuse potential, risk of medication overuse headache, or lack of current approval. Medication overuse headache (MOH) is a phenomenon observed from overuse of migraine and pain disorder medications [13, 14]. the ICHD-3 defines MOH as headache occurring on 15 or more days per month, for three months due to over-usage of acute or symptomatic headache medication. The prevalence of MOH is 1–2% globally, however it is one of the costliest neurological disorders known due to its extremely debilitating effects and treatment resistance [18]. A variety of medication have been observed to cause MOH, however findings have specifically found analgesics such as opioids to be the highest risk class for causing MOH, with triptans being at most equal to opiates for relative risk of developing MOH [13, 14]. Demonstration of not only lack of efficacy of classic analgesics, but the ability for them to increase relative risk for MOH demonstrates the pertinent need for new therapeutics.

Divergence in Female Treatment Response Sensitivity: While the current literature is somewhat lacking in this study metric, fitting within the narrative of this review it would be prudent to assess relevant clinical observational data that is currently available. While many studies have been performed assaying treatment efficacy, there seems to be an overall dearth of results stratified on gender in respect to observed efficacy of pharmaceutical migraine treatment. However, studies have observed a higher female preponderance to developing medication overuse headache; this could be an artifact of the higher overall incidence of migraine in women, higher usage of medication by women, and higher seeking of medical care by women vs men, and underdiagnosing of migraine in men [10]. Moreover, specific agents that induce MOH were not discussed. A recent study has outlined differences in pharmacokinetics in women vs men for the triptan drug class, particularly noting the substantially higher peak plasma concentration of triptans observed in women, which can have far reaching effects on the differences observed in treatment response in men vs women [10]. Regarding the new anti CGRP drugs, studies are under way to assess different response in women and men when treated. However, the few studies that have been done have not been able to definitively state a difference in response to the monoclonal antibodies [19].

Preclinical Research Models

While the precise mechanisms of Migraine are yet to be elucidated, numerous preclinical and basic research models are available, including in vitro, in vivo, and ex vivo models. While the complete understanding of migraine pathophysiology is beyond the scope of this review, a major recent success has arisen from focusing on the interplay of CGRP, the neurovascular unit, and the trigeminal nerve complex [20]. This has led to the development of several new treatments based on inhibiting activity of CGRP. Current preclinical models include a multitude of models to mirror physiological phenomena believed to be impacted in contributing, all or in part, to overall cellular and neurobiological states resulting in a migraine episode. The inflammatory soup model is one such example. This model is based upon the hypothesis that migraine progression is based upon abnormal functioning of neurons in several brain regions [21]. It is essentially an animal model upon which a cocktail of proinflammatory compounds are introduced into the brain, and fMRI imaging is utilized to map the alterations in brain response, cellularly and chemically, to the introduced disruption [21]. The cocktail itself is an acidic mix of bradykinin, serotonin, histamine and prostaglandin PGE2. This paradigm was conceptualized from samples of inflamed human tissue, utilized to induce a state of allodynia and hyperalgesia in an animal model [22]. Migraine has been observed to be induced by a host of triggers, and in clinical settings it was noticed cardiac angina patients undergoing nitroglycerin therapy demonstrated a high degree of headache incidence from this treatment. This observation led to the development of the use of the NO donor in preclinical studies to serve as a migraine attack trigger in animal and ex vivo models [23], due to the documented vasodilative properties of NO and NO donor chemicals. An interesting observation made in the clinic also found that over 50% of migraine without aura is highly correlated with the menstrual cycle [24]. This has translated into application of progesterone treatment in basic research models, in vitro and animal models to simulate this phenomenon in the laboratory to corroborate possible application of contraceptive medications in pursuit of alleviating menstrual associated migraine without aura with these readily available medications. In addition to many other factors, a major mechanism of action of progesterone only contraceptives are believed to down regulate expression of estrogen receptors in the trigeminal vascular system, thereby reducing nociceptive response to elevated estrogen levels associated with menstrual cycles [24]. in further exploring the myriad of possible triggers producing a migraine response, it would be prudent of the preclinical researcher to investigate inroads into possible environmental triggers of a migraine episode. One such tool developed for this purpose is umbellone, an environmental irritant that has found recent application in studying possible activation of transient receptor potential ankyrin-1 (TRPA1) channels and possible contribution to induction of a migraine event [25].

While a notable amount of current research is being focused on modeling and understanding the cortical spreading depression (CSD) event, it must be noted that it has been observed that not all CSD events result in triggering of migraine event, or any type of headache for that matter. This duality is important to note, as CSD events are hypothesized to be an underlying mechanism for migraine with aura10, direct evidence of this has not yet been fully elucidated and ongoing efforts to model it are being pursued to fully tease out the full impact of a CSD event, as pathological brain conditions other than migraine also demonstrate association with CSD [26]. all of these models and study paradigms have been essential in advancing the field of migraine research in basic and preclinical laboratories in institutions across the globe. As more research is clearly needed to elucidate the sex specific reasons women are affected at a much higher rate with migraine, sex specific models are being developed to further investigate this phenomenon. One immediate and simple method of accomplishing this is by simply including female animals, tissue, or female animal derived primary cell cultures for use in experiments. This paradigm can also be carried further into the clinic for translational studies by the usage of female participants for IRB approved studies. The Dussor research group has developed several models for investigating sex-based differences in progesterone signaling leading to higher incidence of migraines observed in females. An animal model has been developed and utilized by this group to explore the relationship between elevated estrogen levels and specific response patterns to fluctuations of these female sex hormones, further relating to the translational application of progesterone as a treatment [27]. The Dussor and Russo labs have also investigated the differences of CGRP expression in a female model. Due to the hypothesized impact of CGRP on development of migraine, it would be prudent to assess if a difference in expression patterns of this neuropeptide could be contributing to the observed difference in migraine incidence [28]. while this research is still in its infancy, the new avenues being opened by pharmacogenomic technology and the approach of personalized medicine will potentially allow for a new zenith of breakthroughs, as the apocryphal working hidden within our DNA becomes available for study.

Future Direction of Field and Precision Medicine

The recent development of the new class of anti CGRP and anti CGRP receptor antibodies has been an exciting advance in the field of migraine research, however their high cost makes access to all who could benefit from their use impractical. With the emerging concept of precision medicine and pharmacogenomics becoming more and more optimized and readily available, the possibility of applying these technologies to new treatments looms ever closer on the horizon. Due to the high degree of genetic variation within each migraineur, different variants of the enzymes, transporters, and receptors will be more or less responsive to a unique blend of polytherapy, as coding variants for each of these proteins will respond ever so slightly different to each blend of agent utilized to treat migraine [29]. GWAS analyses is proving to be an extremely powerful tool in analyzing single nucleotide polymorphism (SNP) variants across populations [30, 31]. Emerging research has indicated familial migraine contains a higher pathologic gene load associated with migraine than sporadic cases [32], while another study has begun to map possible loci containing genes involved in migraine pathology, specifically locating 38 new loci [15]. In addition to physiologic aspects, applications of high end computing are being utilized to analyze high volumes of drug safety data [33]. This approach utilizing personalized medicine has already been put into translational studies for cardiovascular anti-coagulant drugs, such as warfarin, which has highly variable therapeutic windows depending on the DNA variants encoding enzymes in its metabolic pathway. Moving forward it is hoped to be able to adapt this individual tailoring approach to create a treatment plan specifically optimized for a given patient. The urgency for this approach is highlighted by the fact that only 50% of migraineurs respond to acute or prophylactic treatment [29]. It is hoped that by moving forward with entrenched research tools in the laboratory, best practices observed in the clinic, and the wealth of knowledge and potential unlocked by pharmacogenomic technology, a new synergistic approach to migraine treatment may be made in order to alleviate this horrifically debilitating condition.

References

  1. Lipton RB, Munjal S, Alam A, Buse DC, Fanning KM, et al. (2018) Migraine in America Symptoms and Treatment (MAST) Study: Baseline Study Methods, Treatment Patterns, and Gender Differences. Headache: The Journal of Head and Face Pain 58: 1408–1426. [crossref]
  2. Lipton RB, Munjal S, Buse DC, Alam A, Fanning KM, et al. (2019) Unmet Acute Treatment Needs From the 2017 Migraine in America Symptoms and Treatment Study. Headache 59: 1310–1323. [crossref]
  3. Schwedt TJ, Alam A, Reed ML, Fanning KM, Munjal S, et al. (2018) Factors associated with acute medication overuse in people with migraine: results from the 2017 migraine in America symptoms and treatment (MAST) study. J Headache Pain 19: 38. [crossref]
  4. Messali A, Sanderson JC,  Blumenfeld AM, Goadsby PJ, Buse DC (2016) Direct and Indirect Costs of Chronic and Episodic Migraine in the United States: A Web Based Survey. Headache: The Journal of Head and Face Pain 56: 306–322. [crossref]
  5. Buse DC, Loder EW, Gorman JA, Stewart WF, Reed ML, et al. (2013) Sex differences in the prevalence, symptoms, and associated features of migraine, probable migraine and other severe headache: results of the American Migraine Prevalence and Prevention (AMPP) Study. Headache: The Journal of Head and Face Pain 53: 1278–1299. [crossref]
  6. Burch R (2019) Epidemiology and Treatment of Menstrual Migraine and Migraine During Pregnancy and Lactation: A Narrative Review. Headache: The Journal of Head and Face Pain [crossref]
  7. Burch R, Rizzoli P, Loder E (2018) The Prevalence and Impact of Migraine and Severe Headache in the United States: Figures and Trends From Government Health Studies. Headache: The Journal of Head and Face Pain 58: 496–505.
  8. Lanteri-Minet M (2014) Economic burden and costs of chronic migraine. Curr Pain Headache Rep 18: 385. [crossref]
  9. Lipton RB, Stewart WF, Diamond S, Diamond ML, Reed M (2001) Prevalence and Burden of Migraine in the United States: Data From the American Migraine Study II. Headache: The Journal of Head and Face Pain 41: 646–657. [crossref]
  10. van den Maagdenberg AMJM, Nyholt DR, Anttila V (2019) Novel hypotheses emerging from GWAS in migraine?. J Headache Pain 20: 5. [crossref]
  11. Munakata J, Hazard E, Serrano D, Klingman D, Rupnow MF, et al. (2009) Economic Burden of Transformed Migraine: Results From the American Migraine Prevalence and Prevention (AMPP) Study. Headache: The Journal of Head and Face Pain 49: 498–508. [crossref]
  12. Mayans L, Walling A (2018) Acute Migraine Headache: Treatment Strategies. Am Fam Physician 97: 243–251.
  13. Teppe SJ (2019) Acute Treatment of Migraine. Neurologic Clinics 37: 727–742. [crossref]
  14. Thorlund K, Sun-Edelstein C, Druyts E, Kanters S, Ebrahim S, et al. (2016) Risk of medication overuse headache across classes of treatments for acute migraine. J Headache Pain 17: 107. [crossref]
  15. Evans RW, Tepper SJ, Shapiro RE, Sun-Edelstein C, Tietjen GE (2010) The FDA alert on serotonin syndrome with use of triptans combined with selective serotonin reuptake inhibitors or selective serotonin-norepinephrine reuptake inhibitors: American Headache Society position paper. Headache 50: 1089–99. [crossref]
  16. Russell FA, King R, Smillie SJ, Kodji X, Brain SD (2014) Calcitonin gene-related peptide: physiology and pathophysiology. Physiol Rev 94: 1099–142. [crossref]
  17. Danesh A, Gottschalk PCH (2019) Beta-Blockers for Migraine Prevention: a Review Article. Curr Treat Options Neurol 21: 20.
  18. Gormley P, Anttila V, Winsvold BS, Palta P, Esko T, et al. (2016) Meta-analysis of 375,000 individuals identifies 38 susceptibility loci for migraine. Nat Genet 48: 856–866. [crossref]
  19. Melo-Carrillo A, Noseda R, Nir RR, Schain AJ, Stratton J, et al. (2017) Selective Inhibition of Trigeminovascular Neurons by Fremanezumab: A Humanized Monoclonal Anti-CGRP Antibody. J Neurosci 37: 7149–7163. [crossref]
  20. Loder S, Sheikh HU, Loder E (2015) The Prevalence, Burden, and Treatment of Severe, Frequent, and Migraine Headaches in US Minority Populations: Statistics From National Survey Studies. Headache: The Journal of Head and Face Pain 55: 214–228. [crossref]
  21. Becerra L, Bishop J, Barmettler G, Kainz V, Burstein R, et al. (2017) Brain network alterations in the inflammatory soup animal model of migraine. Brain Res 1660: 36–46. [crossref]
  22. De Felice M, Eyde N, Dodick D, Dussor GO, Ossipov MH, et al. (2013) Capturing the aversive state of cephalic pain preclinically. Ann Neurol 74: 257–265. [crossref]
  23. Ashina, Messoud, Hansen, Jakob Møller Dunga, Bára Oladóttir, et al. (2017) Jes Human models of migraine, short-term pain for long-term gain, Nature Reviews Neurology, Nature Publishing Group, a division of Macmillan Publishers Limited.
  24. Allais G, Chiarle G, Sinigaglia S, Airola G, Schiapparelli P, et al. (2017) Treating migraine with contraceptives. Neurol Sci 38: 85–89.
  25. Edelmayer RM, Le LN, Yan J, Wei X, Nassini R, et al. (2012) Activation of TRPA1 on dural afferents: a potential mechanism of headache pain. Pain 153:1949–1958. [crossref]
  26. Charles A, Baca S. (2013) Cortical spreading depression and migraine. Nat Rev Neurol 9: 637–644. [crossref]
  27. Sandweiss AJ, Cottier KE, McIntosh MI, Dussor G, Davis TP, et al. (2017) 17-β-Estradiol induces spreading depression and pain behavior in alert female rats. Oncotarget 8: 114109–114122. [crossref]
  28. Russo AF. (2015) Calcitonin gene-related peptide (CGRP): a new target for migraine. Annu Rev Pharmacol Toxicol 2015 55: 533–552. [crossref]
  29. Daniela Pietrobon, Michael A. Moskowitz (2013) Pathophysiology of Migraine, Journal Article, 2013 Annual Review of Physiology, Annual Review of Physiology February 75: 365.
  30. Ayata C, Lauritzen M (2015) Spreading Depression, Spreading Depolarizations, and the Cerebral Vasculature. Physiol Rev 95: 953–993. [crossref]
  31. Thorlund K, Mills EJ, Wu P, Ramos E, Chatterjee A, et al. (2014) Comparative efficacy of triptans for the abortive treatment of migraine: A multiple treatment comparison meta-analysis. J Cephalalgia 34: 258–267 [crossref]
  32. de Boer I, van den Maagdenberg AMJM, Terwindt GM. (2019) Advance in genetics of migraine. Curr Opin Neurol 32: 413–421. [crossref]
  33. Danysz K, Cicirello S, Mingle E, Assuncao B, Tetarenko  N, et al. (2019) Artificial Intelligence and the Future of the Drug Safety Professional. Drug Saf 42: 491–497. [crossref]

Disseminated Tumor Cells in Bone Marrow In gastric Cancer Patients with Obesity

Background

Obesity is a risk factor for cancer development and is associated with poor prognosis in multiple tumor types. There is emerging evidence of a strong association between obesity and gastrointestinal cancer. The molecular mechanism underlying gastric cancer invasion and metastasis is still poorly understood. Problem of Disseminated Tumor Cells (DTCs) in gastric cancer remains to be relevant for clinics and less is known concerning this problem for patients with obesity.

Aim

This study was aimed to evaluate how incidence of DTCs in bone marrow is conditioned by excess of adipocites in tumor microenvironment of patients with gastric cancer and obesity.

Results

There was not found the associations between availability of DTCs in BM as well CXCR4-positive cells in tumor and body mass index (BMI) but incidence of DTC in BM was associated with high density of Cancer-Associated Adipocytes (CAAs) as well with high number of CXCR4-positive cells in tumor of patients with BMI<25 and BMI>25<30 but it was not true for patients with BMI>30 where frequency of DTCs finding in BM was significantly decreased and that was statistically significant.

Conclusion

In patients with BMI>30 high density of CAAs and high number of CXCR4-positive cells in tumor may create specific tumor microenvironment that prevent tumor cells to leave primary lesion.

Obesity is associated with poor prognosis in multiple tumor types [1]. There is emerging evidence of a strong association between obesity and gastrointestinal cancer [2]. In contrast to the convincing evidence that obesity (measured by body mass index, BMI) increases the risk of many different types of cancer, there is an ambiguity in the role of obesity in survival among cancer patients [3, 4]. Some studies suggested that higher BMI decreased mortality risk in cancer patients, a phenomenon called the obesity paradox [1]. Changes that occur in the obese state and the biologic mechanisms underlying the connections of these changes to increased cancer risk are poorly understood [5–6]. Many types of solid tumors grow in proximate or direct contact with adipocytes and adipose-associated stromal and vascular components. During interaction with cancer cells adipocytes dedifferentiate into pre-adipocytes or are reprogrammed into Cancer-Associated Adipocytes (CAAs) that modulate the tumor microenvironment by promoting angiogenesis, affecting immune cells and altering metabolism to support growth and survival of metastatic cancer cells [7]. Quail D et al. indicate that special consideration of the obese patient population is critical for effective management of cancer progression [8].

During tumor progression, cells can acquire the capability for invasion and metastasis to escape the primary tumor, first of all, from breast, lung, colorectal and prostate, and colonize new organs [9, 10]. Tumor cells leaving primary site can settle mainly in Bone Marrow (BM) as a common homing-organ for Disseminated Tumor Cells (DTCs) with potency to form the metastases [11–13]. The most important factors controlling cellular migration are chemokines and their receptors. Stem cell receptor CXCR4 as a transmembrane chemokine receptor and its specific ligand CXCL12 (Stromal Cell-Derived Factor 1, SDF-1α) play a vital role in dissemination of tumor cells from primary sites, transendothelial migration as well as homing of cancer stem cells. In the tumor microenvironment under hypoxic condition cells of a growing tumor are reprogrammed to express the CXCR4 receptor thereby enhancing the metastatic potential of the tumor cells. [14–17]. the molecular mechanism underlying gastric cancer invasion and metastasis is still poorly understood. Problem of DTCs in gastric cancer remains to be relevant for clinics [18] and less is known concerning this problem for patients with overweight and obesity [19]. Therefore our study was aimed to evaluate how of CAA density, CXCR4 expression in primary tumor affect presence of DTCs in BM of patients with gastric cancer according to the Body Mass Index (BMI).

Patients and Methods

Patients

A total of 94 patients (60 men and 34 women) with primary gastric cancer were diagnosed and treated at the City Clinical Oncological Center (Kiev). No patient received any pre-operative anti-cancer therapy. Tumors were classified and staged according to the 2002 version of the UICC staging system [20]. Histological types of tumor were evaluated by WHO histological classification (2000) [21]. Tissue samples were taken immediately after tumor excision. Preoperatively, 2.0–3.0 ml of BM aspirates from the sternum with conventional cautions to avoid the hit of skin epithelial cells into the sample were obtained. All patients were thoroughly informed about the study that was approved by the local ethics committee.

Immunocytochemical Examination of Bone Marrow

Detection of tumor cells (cytokeratin-positive cells, CK-positive cells) in BM cytospin preparations fixed in acetone was provided by APAAP method (alkaline phosphataseantialkaline phosphatase) and visualization system EnVision G/2 System/AP Rabbit/Mouse (Permanent Red) (Dako Cytomaiton, Denmark). Monoclonal mouse antibodies against panCK (clone AE1/AE3, Dako Cytomation, Denmark) were used as primary antibodies. Each assay was controlled negatively by staining of one cytospin preparation with nonspecific IgG1 (MOPC21, Sigma). Number of tumor cells (CK-positive cells) was expressed on 106 BM mononuclear cells. BM samples were scored “positive” if the presence of two or more CK-positive cells per 106 mononuclear cells were detected (from 6 to 12 slides per patient were screened).

Immunohistochemical Examination of Tumor Tissue

Expression Perilipin (Plin5+) as a marker for viable adipocytes as well expression of CXCR4 were provided on deparaffinized slides using specific polyclonal rabid antibodies (Perilipin-5/OXPAT Antibody, Termoscientific, USA) dilution 1:200 and specific monoclonal mouse antibodies: clone AB2074 (Abcam, UK), respectively. Slides for evaluation of Plin5+ were covered with 1% of Bovine Serum Albumin (BCA) and incubated with polyclonal antibodies during for 1hour and then washed in Phosphate-Buffered Saline (PBS). Immunoreactions were detected and visualized with the polymer-peroxidase method (EnVision+/HRP and 3, 3-diaminobenzidine; DakoCytomation, Denmark) followed by counterstaining with Mayer hematoxylin. Negative control was employed in which the primary antibody was replaced by Phosphate-Buffered Solution (PBS). Immunopositive cells were counted per 1000 cells in each slide and the number of positive cells was reported as percent. When the tumor consisted of more than 10% of CXCR4-positive cells, the case was scored as positive.

Body Mass Index (BMI, Kg M−2)

Patients were classified according to BMI, following the WHO definitions, as underweight, normal (18.5–<25.0 kg/m2), overweight (25.0–<30.0 kg/m2) or grade 1 obesity (30.0–<35.0 kg/m2).

Statistical Analysis

All statistical analyses were conducted using the NCSS 2000/PASS 2000 and Prism, version 4.03 software packages. Prognostic values of relevant variables were analyzed by means of the Cox proportional hazards model using Odds ratio and χ2 test. Two-tailed p values <0.05 were considered statistically significant.

Results

Caas in Tumors of Patients According To BMI

Individual patient data from a total 94 histological confirmed gastric cancer patients were included in this study. Median number of CAAs in tumors was 26.5%. We defined this number as the cut-off value and classified all cases into high- or low-density groups. Overall, 48.4% of tumors were characterized by a low density of CAAs and 51.6% by high CAAs during follow-up. 39.5%, 46.4%, 89.5% of patients with BMI<25, BMI>25<30, BMI>30, respectively, had high CAAs in tumors. The probability of availability of high density of CAAs in tumor of patients with BMI>30 is increased by a factor of almost 9 (OR 8.84, χ2 = 13.47, 95%CI 16.777–4.665, P<0.01) as compared with BMI<30. Data obtained demonstrate that adipocytes are as major component of the microenvironment of gastric cancer, especially under obesity.

CK-Positive Cells in Bone Marrow

 Overall, 88.3% of patients have been with M0 category. It was determined that CK-positive cells were detected in BM of 50.1% gastric cancer patients among all investigated. There was no association between DTCs in BM and clinicopathological characteristics. It makes no difference between of groups of patients according to BMI concerning the availability of DTCs in BM: 47.6%, 56.2% and 41.2% of patients with BMI<25, BMI>25<30, BMI>30 had DTCs in BM, respectively. Meanwhile, it was found the association between the presence of DTCs in BM and density of CAAs in tumors: DTCs in BM were detected in 41.3% and in 58.7% of patients when tumors characterized by low and high density of CAAs, respectively. When tumors characterized by high density of CAAs appearance of tumor cells in BM has been found in 35.7% of patients with BMI>30 as compare with 70.6% and 62.5% of patients with BMI<25 and BMI>25<30. In patients with obesity frequency of DTCs finding in BM was significantly decreased and it was statistically significant (OR 4.33, χ2 = 3.82, 95%CI 9.341–2.007, P<0.05) as compare with patients with BMI<25. It may be suggested that adipocites, namely CAAs, playing an essential role in the regulation of metabolic functions in the variety of processes involved in metastatic spread of tumor cells.

CXCR4-Positive Cells in Tumor Tissue

Overall, 83.1% of patients had tumors with CXCR4-positive cells. Statistically significant correlation between CXCR4-positivity of tumors and clinical characteristics was not found. The median number of CXCR4+ cells was 24.2% (range of 13.4–81.0%). It makes no difference between of groups of patients according to BMI concerning the CXCR4-positive cells: 66.7%, 65% and 60% of patients with BMI<25, BMI>25<30, BMI>30 had high number of CXCR4-positive cells in tumor, respectively. Meanwhile, it was found the association between high number of CXCR4-positive cells and density of CAAs in tumors. High number of CXCR4-positive cells were detected in 35.3% and in 72.7% of patients when tumors characterized by low and high density of CAAs, respectively (OR 7.3, χ2 = 12.45, 95%CI 13.654–4.208, P<0.01).

The mean number of CXCR4-cells in tumors with high density of CAAs was 47.4±1.9%, 37.8±4.1% and 48.5±2.9% in patients with BMI<25, BMI>25<30, BMI>30, respectively.When tumors characterized by high density of CAAs presence of high number of CXCR4-positive cells have been found in 77.8%, 62.5% and 71.4% of patients with BMI<25 and BMI>25<30 and. BMI>30, respectively, and presence of DTCs in BM in these groups of patients was the following: 88.9% of patients with BMI<25, in 58.3% of patients with BMI>25<30 and in 18.2% of patients with BMI>30.It is notably important to note that in patients with BMI>30 having high density of CAAs and high number of CXCR4-positive cells in primary tumor the incidence of DTCs in BM was rather low. It may be supposed that under obesity additional mechanisms may be switched off in tumor microenvironment modulated by excess of adipocites to prevent cells escaping.When tumors characterized by low density of CAAs low number of CXCR4-positive cells was detected in 33.3%, 51% and 44.1% of patients with BMI<25 BMI>25<30 and. BMI>30, respectively. Presence of DTC in BM in these groups of patients was the following: in 31.5% of patients with BMI<25, in 44.6% of patients with BMI>25<30 and in 41.1% of patients with BMI>30.

Conclusion

There was not found the associations between availability of DTCs in BM as well CXCR4-positive cells in tumor and BMI but incidence of DTC in BM and high number of CXCR4-positive cells in tumor associated with high density of CAAs of patients with BMI<25 and BMI>25<30 but it is not true for patients with BMI>30 where frequency of DTCs finding in BM was significantly decreased and that is statistically significant.In patients with BMI>30 high density of CAAs and high number of CXCR4-positive cells in tumor may create specific tumor microenvironment that prevent tumor cells to leave primary lesion. Understanding the metabolic changes that occur in obese individuals may also help to elucidate more effective treatment options for these patients when they develop cancer.

References

  1. Wang J, Yang DL, Chen ZZ, Gou BF (2016) Associations of body mass index with cancer incidence among populations, genders, and menopausal status: A systematic review and meta-analysis. Cancer Epidemiol 42: 1–8.
  2. Donohoe CL, Pidgeon GP, Lysaght J, Reynolds JV (2010) Obesity and gastrointestinal cancer. Br J Surg 97: 628–642.
  3. Renehan AG, Tyson M, Egger M, Heller RF, Zwahlen M (2008) Body-mass index and incidence of cancer: a systematic review and meta-analysis of prospective observational studies. Lancet 37: 569–578.
  4. Iyengar NM, Gucalp A, Dannenberg AJ, Hudis CA (2016) Obesity and Cancer Mechanisms: Tumor Microenvironment and Inflammation. J Clin Oncol 34: 4270–4276.
  5. Renehan AG, Zwahlen M, Egger M (2015) Adiposity and cancer risk: new mechanistic insights from epidemiology. Nat Rev Cancer 15: 484–498.
  6. Hopkins BD, Goncalves MD, Cantley LC (2016) Obesity and Cancer Mechanisms: Cancer Metabolism. J Clin Oncol 34: 4277–4283.
  7. Nieman KM, Romero IL, Van Houten B, Lengyel E (2013) Adipose tissue and adipocytes support tumorigenesis and metastasis. Biochim Biophys Acta 10: 1533–1541.
  8. Quail D, Olson OC,  Bhardwaj P, Walsh LA, Akkari L, et al. (2017) Obesity alters the lung myeloid cell landscape to enhance breast cancer metastasis through IL5 and GM-CSF. Nat Cell Biol 19: 974–987.
  9. Gupta GP, Massagué J (2006) Cancer metastasis: building a framework. Cell 127: 679–695.
  10. Valastyan S, Weinberg RA (2011) Tumor metastasis: molecular insights and evolving paradigms. Cell 147: 275–292.
  11. Pantel K, Alix-Panabières C, Riethdorf S (2009) Cancer micrometastases. Nat Rev Clin Oncol 6: 339–351.
  12. Pantel K, Hayes D (2018) Disseminated breast tumour cells: biological and clinical meaning. Nat Rev Clin Oncol 15: 129–131.
  13. Pantel K, Brakenhoff RH, Brandt B (2008) Detection, clinical relevance and specific biological properties of disseminating tumour cells. Nat Rev Cancer 8: 329–340.
  14. Sun X, Cheng G, Hao M, Zheng J, Zhou X, et al. (2010) CXCL12 / CXCR4 / CXCR7 chemokine axis and cancer progression. Cancer and Metastasis Rev 29: 709–722.
  15. Burger J, Kipps T (2006) CXCR4: a key receptor in the crosstalk between tumor cells and their microenvironment. Blood 107: 1761–1767.
  16. Zhang Z, Ni C, Chen W, Wu P, Wang Z, et al. (2014) Expression of CXCR4 and breast cancer prognosis: a systematic review and meta-analysis. BMC Cancer 14: 49.
  17. Xiang Z, Zhou Z-J, Xia G-K, Zhang XH, Wei ZW, et al. (2017) A positive crosstalk between CXCR4 and CXCR2 promotes gastric cancer metastasis. Oncogene 36: 5122–5133.
  18. O’Sullivan J, Lysaght J, Donohoe CL, Reynolds JV (2018) Obesity and
    gastrointestinal cancer: the interrelationship of adipose and tumour microenvironments. Nat Rev Gastroenterol Hepatol 15: 699–714.
  19. International Union Against Cancer (2002) TNM Classification of malignant tumors, edited by L. H. Sobin and C. Wittekind, Wiley-Liss, New York, NY, USA, 6th edition, 2002.
  20. C Fenoglio-Preiser, F Carneiro, P Correa, et al. (2000) “Gastric carcinoma,”in World Health Organization Classification of tumors. Tumours of the Stomach. In: S. R. Hamilton and L. A. Aaltonen (eds.). vol. 3, chapter 3, Pg No: 39–52, IARC Press, Lyon, France, 2000.