Yıl: 2017 Cilt: 17 Sayı: 6 Sayfa Aralığı: 436 - 444 Metin Dili: İngilizce İndeks Tarihi: 29-07-2022

Algorithm for predicting CHD death risk in Turkish adults: conventional factors contribute only moderately in women

Öz:
Objective: To assist the management strategy of individuals, we determined an algorithm for predicting the risk of coronary heart disease (CHD) death in Turkish adults with a high prevalence of metabolic syndrome (MetS).Methods: The risk of CHD death was estimated in 3054 middle-aged adults, followed over 9.08±4.2 years. Cox proportional hazard regression was used to predict risk. Discrimination was assessed using C-statistics.Results: CHD death was identified in 233 subjects. In multivariable analysis, the serum high-density lipoprotein-cholesterol (HDL-C) level was not predictive in men and the non-HDL-C level was not predictive in women. Age, presence of diabetes, systolic blood pressure >=160 mm Hg, smoking habit, and low physical activity were predictors in both sexes. The exclusion of coronary disease at baseline did not change the risk estimates materially. Using an algorithm of the 7 stated variables, individuals in the highest category of risk score showed a 19- to 50-fold higher spread in the absolute risk of death from CHD than those in the second lowest category. C-index of the model using age alone was as high as 0.774 in men and 0.836 in women (p<0.001 each), while the incorporation of 6 conventional risk factors contributed to a C-index of 0.058 in males and 0.042 in females.Conclusion: In a middle-aged population with prevalent MetS, men disclosed anticipated risk parameters (except for high HDL-C levels) as determinants of the risk of CHD death. On the other hand, serum non-HDL-C levels and moderate systolic hypertension were not relevant in women. The moderate contribution of conventional risk factors (beyond age) to the estimation of the risk of CHD death in women is consistent with the operation of autoimmune activation.
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Konular: Kalp ve Kalp Damar Sistemi
Belge Türü: Makale Makale Türü: Diğer Erişim Türü: Erişime Açık
  • 1. Onat A, Can G, Hergenç G, Uğur M, Yüksel H. Coronary disease risk prediction algorithm warranting incorporation of C-reactive protein in Turkish adults, manifesting sex difference. Nutr Metab Cardiov Dis 2012; 22: 643-50.
  • 2. Huynh QL, Reid CM, Chowdhury EK, Huq MM, Billah B, Wing LM, et al, on behalf of the Second Australian National Blood Pressure Management Committee. Prediction of cardiovascular and allcause mortality at 10 years in the hypertensive aged population. Am J Hypertens 2015; 28: 649-56.
  • 3. Hoes AW, Grobbee DE, Valkenburg HA, Lubsen J, Hofman A. Cardiovascular and all-cause mortality, a 12 year follow-up study in the Netherlands. Eur J Epidemiol 1993; 9: 285-92.
  • 4. Stone NJ, Robinson JG, Lichtenstein AH, Bairey Merz CN, Blum CB, Eckel RH, et al. 2013 ACC/AHA guideline on the treatment of blood cholesterol to reduce atherosclerotic cardiovascular risk in adults: a report on the American College of Cardiology/American Heart Association Task Force on Practice Guidelines. J Am Coll Cardiol 2014; 63: 2889-934.
  • 5. Conroy RM, Pyörälä K, Fitzgerald AP, Sans S, Menotti A, De Backer G, et al.; SCORE Project group. Estimation of ten-year risk of fatal cardiovascular disease in Europe: The SCORE project. Eur Heart J 2003; 24: 987-1003.
  • 6. National Cholesterol Education Expert Panel. Executive summary of the third report of the National Cholesterol Education Program (NCEP) Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults (Adult Treatment Panel III). JAMA 2001; 285: 2486-97.
  • 7. Onat A, Ceyhan K, Başar Ö, Erer B, Toprak S, Şansoy V. Metabolic syndrome: major impact on coronary risk in a population with low cholesterol levels - a prospective and cross-sectional evaluation. Atherosclerosis 2002; 165: 285-92.
  • 8. Onat A, Can G. Enhanced proinflammatory state and autoimmune activation: a breakthrough to understanding chronic diseases. Curr Pharm Des 2014; 20: 575-84.
  • 9. Onat A, Can G, Ayhan E, Kaya Z, Hergenç G. Impaired protection against diabetes and coronary disease by high-density lipoproteins in Turks. Metabolism 2009; 58: 1393-9.
  • 10. Onat A. Risk factors and cardiovascular disease in Turkey. Atherosclerosis 2001; 156: 1-10.
  • 11. Genuth S, Alberti KG, Bennett P, Buse J, Defronzo R, Kahn R, et al.; Expert Committee on the Diagnosis and Classification of Diabetes Mellitus. Follow-up report on the diagnosis of diabetes mellitus: The Expert Committee on the Diagnosis and Classification of Diabetes Mellitus. Diabetes Care 2003; 26: 3160-7.
  • 12. Onat A, Şurdum Avcı G, Şenocak M, Örnek E, Gözükara Y. Plasma lipids and their interrelation in Turkish adults. J Epidem Community Health 1992; 46: 470-6.
  • 13. Rose GA, Blackburn H, Gillum RF, Prineas RJ. Cardiovascular Survey Methods, 2nd edn. Geneva, World Health Organization, 1982. p. 124-7.
  • 14. Rana JS, Tabada GH, Solomon MD, Lo JC, Jaffe MG, Sung SH, et al. Accuracy of the atherosclerotic cardiovascular risk equation in a large contemporary multiethnic population. J Am Coll Cardiol 2016; 67: 2118-30.
  • 15. Blaha MJ. The critical importance of risk score calibration. Time for transformative approach to risk score validation? J Am Coll Cardiol 2016; 67: 2131-4.
  • 16. Wang TJ, Gona P, Larson MG, Tofler JH, Levy D, Newton-Cheh C, et al. Multiple biomarkers for the prediction of first major cardiovascular events and death. N Engl J Med 2006; 355: 2631-9.
  • 17. Chen L, Tonkin AM, Moon L, Mitchell P, Dobson A, Giles G, et al. Recalibration and validation of the SCORE risk chart in the Australian population: the AusSCORE chart. Eur J Cardiovasc Prev Rehabil 2009; 16: 562-70.
  • 18. Cuende JI, Cuende N, Calaveras-Lagartos J. How to calculate vascular age with the SCORE project scales: a new method of cardiovascular risk evaluation. Eur Heart J 2010; 31: 2351-8.
  • 19. Peters SAE, Huxley RR, Woodward M. Comparison of the sex-specific associations between systolic blood pressure and the risk of cardiovascular disease: a systematic review and meta-analysis of 124 cohort studies, including 1.2 million individuals. Stroke 2013; 44: 2394-401.
  • 20. The Atherosclerosis Risk in Communities (ARIC) Study: design and objectives. The ARIC Investigators. Am J Epidemiol 1989; 129: 687- 702.
  • 21. 24 Years of the TARF: Health of Turkish Adults and Pioneering to the Approach of Medicine to Chronic Diseases. Istanbul, Logos Publ. 2015. p.23. ISBN: 978-975-349-078-8
  • 22. Lindqvist P, Bengtsson C, Lissner L, Björkelund C. Cholesterol and triglyceride concentration as risk factors for myocardial infarction and death in women, with special reference to influence of age. J Intern Med 2002; 251: 484-9.
  • 23. Petursson H, Sigurdsson JA, Bengtsson C, Nilsen TIL, Getz L. Is the use of cholesterol in mortality risk algorithms in clinical guidelines valid? Ten years prospective data from the Norwegian HUNT 2 study. J Evaluat Clin Pract 2012; 18: 159-69.
  • 24. Tsuji H. Low serum cholesterol level and increased ischemic stroke mortality. Arch Intern Med 2011; 171: 1116-30.
  • 25. Qie Y, Fan J, Liu J, Wang W, Wang M, Sun J, et al. Cholesterol-overloaded HDL particles are independently associated with progression of carotid atherosclerosis in a cardiovascular disease-free population: a community-based cohort study. J Am Coll Cardiol 2015; 65: 355-63.
  • 26. Støvring H, Harmsen CG, Wisløff T, Jarbøl DE, Nexøe J, Nielsen JB, et al. A competing risk approach for the European Heart SCORE model based on cause-specific and all-cause mortality. Eur J Prev Cardiol 2013; 20: 827-36.
  • 27. Petersen LK, Christensen K, Kragstrup J. Lipid-lowering treatment to the end? A review of observational studies and RCTs on cholesterol and mortality in 80+-year olds, Age Ageing 2010; 39: 674-80.
  • 28. Emerging Risk Factors Collaboration. C-reactive protein concentration and risk of coronary heart disease, stroke, and mortality: an individual participant meta-analysis. Lancet 2010; 375: 132-40.
  • 29. Onat A, Aydın M, Köroğlu B, Can G, Kaya H, Ademoğlu E. Statin therapy and increased coronary heart disease risk in primary prevention of people with enhanced low-grade inflammation. Türk Klin J Cardiovasc Sci 2014; 26: 118-27.
  • 30. Fuster V. No such thing as ideal blood pressure: a case for personalized medicine. J Am Coll Cardiol 2016; 67: 2014-5.
  • 31. Dodani S. Excess coronary artery disease risk in South Asian immigrants: Can dysfunctional high-density lipoprotein explain increased risk? Vasc Health Risk Managem 2008; 4: 953-61.
APA Onat A, CAN G, Kaya A, Keskin M, HAYIROĞLU M, YÜKSEL H (2017). Algorithm for predicting CHD death risk in Turkish adults: conventional factors contribute only moderately in women. , 436 - 444.
Chicago Onat Altan,CAN Günay,Kaya Ayşem,Keskin Muhammed,HAYIROĞLU Mert İ,YÜKSEL Hüsniye Algorithm for predicting CHD death risk in Turkish adults: conventional factors contribute only moderately in women. (2017): 436 - 444.
MLA Onat Altan,CAN Günay,Kaya Ayşem,Keskin Muhammed,HAYIROĞLU Mert İ,YÜKSEL Hüsniye Algorithm for predicting CHD death risk in Turkish adults: conventional factors contribute only moderately in women. , 2017, ss.436 - 444.
AMA Onat A,CAN G,Kaya A,Keskin M,HAYIROĞLU M,YÜKSEL H Algorithm for predicting CHD death risk in Turkish adults: conventional factors contribute only moderately in women. . 2017; 436 - 444.
Vancouver Onat A,CAN G,Kaya A,Keskin M,HAYIROĞLU M,YÜKSEL H Algorithm for predicting CHD death risk in Turkish adults: conventional factors contribute only moderately in women. . 2017; 436 - 444.
IEEE Onat A,CAN G,Kaya A,Keskin M,HAYIROĞLU M,YÜKSEL H "Algorithm for predicting CHD death risk in Turkish adults: conventional factors contribute only moderately in women." , ss.436 - 444, 2017.
ISNAD Onat, Altan vd. "Algorithm for predicting CHD death risk in Turkish adults: conventional factors contribute only moderately in women". (2017), 436-444.
APA Onat A, CAN G, Kaya A, Keskin M, HAYIROĞLU M, YÜKSEL H (2017). Algorithm for predicting CHD death risk in Turkish adults: conventional factors contribute only moderately in women. The Anatolian Journal of Cardiology, 17(6), 436 - 444.
Chicago Onat Altan,CAN Günay,Kaya Ayşem,Keskin Muhammed,HAYIROĞLU Mert İ,YÜKSEL Hüsniye Algorithm for predicting CHD death risk in Turkish adults: conventional factors contribute only moderately in women. The Anatolian Journal of Cardiology 17, no.6 (2017): 436 - 444.
MLA Onat Altan,CAN Günay,Kaya Ayşem,Keskin Muhammed,HAYIROĞLU Mert İ,YÜKSEL Hüsniye Algorithm for predicting CHD death risk in Turkish adults: conventional factors contribute only moderately in women. The Anatolian Journal of Cardiology, vol.17, no.6, 2017, ss.436 - 444.
AMA Onat A,CAN G,Kaya A,Keskin M,HAYIROĞLU M,YÜKSEL H Algorithm for predicting CHD death risk in Turkish adults: conventional factors contribute only moderately in women. The Anatolian Journal of Cardiology. 2017; 17(6): 436 - 444.
Vancouver Onat A,CAN G,Kaya A,Keskin M,HAYIROĞLU M,YÜKSEL H Algorithm for predicting CHD death risk in Turkish adults: conventional factors contribute only moderately in women. The Anatolian Journal of Cardiology. 2017; 17(6): 436 - 444.
IEEE Onat A,CAN G,Kaya A,Keskin M,HAYIROĞLU M,YÜKSEL H "Algorithm for predicting CHD death risk in Turkish adults: conventional factors contribute only moderately in women." The Anatolian Journal of Cardiology, 17, ss.436 - 444, 2017.
ISNAD Onat, Altan vd. "Algorithm for predicting CHD death risk in Turkish adults: conventional factors contribute only moderately in women". The Anatolian Journal of Cardiology 17/6 (2017), 436-444.