Survival Regression Modeling Strategies in CVD Prediction

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To Cite : Barkhordari M, Padyab M, Sardarinia M, Hadaegh F, Azizi F, et al. Survival Regression Modeling Strategies in CVD Prediction, Int J Endocrinol Metab. 2016 ;14(2):e32156. doi: 10.5812/ijem.32156.
Copyright: Copyright © 2016, International Journal of Endocrinology and Metabolism. .
Abstract
1. Background
2. Objectives
3. Materials and Methods
4. Results
5. Discussion
Acknowledgements
Footnotes
References
  • 1. Pencina MJ, D'Agostino RB, Vasan RS. Statistical methods for assessment of added usefulness of new biomarkers. Clin Chem Lab Med. 2010; 48(12): 1703-11[DOI][PubMed]
  • 2. Pencina MJ, D'Agostino RS, D'Agostino RJ, Vasan RS. Evaluating the added predictive ability of a new marker: from area under the ROC curve to reclassification and beyond. Stat Med. 2008; 27(2): 157-72[DOI][PubMed]
  • 3. Pepe MS. Problems with risk reclassification methods for evaluating prediction models. Am J Epidemiol. 2011; 173(11): 1327-35[DOI][PubMed]
  • 4. Yadegari H, Bozorgmanesh M, Hadaegh F, Azizi F. Non-linear contribution of glucose measures to cardiovascular diseases and mortality: reclassifying the Framingham's risk categories: a decade follow-up from the Tehran lipid and glucose study. Int J Cardiol. 2013; 167(4): 1486-94[DOI][PubMed]
  • 5. Cook NR. Use and misuse of the receiver operating characteristic curve in risk prediction. Circulation. 2007; 115(7): 928-35[DOI][PubMed]
  • 6. Cook NR. Statistical evaluation of prognostic versus diagnostic models: beyond the ROC curve. Clin Chem. 2008; 54(1): 17-23[DOI][PubMed]
  • 7. Cook NR, Buring JE, Ridker PM. The effect of including C-reactive protein in cardiovascular risk prediction models for women. Ann Intern Med. 2006; 145(1): 21-9[PubMed]
  • 8. Cook NR, Paynter NP. Performance of reclassification statistics in comparing risk prediction models. Biometrical Journal. 2011; 53(2): 237-58
  • 9. Steyerberg EW. Clinical prediction models: a practical approach to development, validation, and updatin. 2009; [DOI]
  • 10. Wilson PWF, D'Agostino RB, Bhatt DL, Eagle K, Pencina MJ, Smith SC, et al. An international model to predict recurrent cardiovascular disease. Am J Med. 2012; 125(7): 695-703. e1
  • 11. Cooney MT, Dudina AL, Graham IM. Value and limitations of existing scores for the assessment of cardiovascular risk: a review for clinicians. J Am Coll Cardiol. 2009; 54(14): 1209-27[DOI][PubMed]
  • 12. D’Agostino RB, Nam BH. Evaluation of the performance of survival analysis models: discrimination and calibration measures. Handbook of statistics. 2004; 23: 1-25
  • 13. Pencina MJ, D'Agostino RB. Overall C as a measure of discrimination in survival analysis: model specific population value and confidence interval estimation. Stat Med. 2004; 23(13): 2109-23[DOI][PubMed]
  • 14. Harrell FE. Regression modeling strategies. 2001; [DOI]
  • 15. Harrell FE, Lee KL, Mark DB. Multivariable Prognostic Models: Issues in Developing Models, Evaluating Assumptions and Adequacy, and Measuring and Reducing Errors. Statistics in Medicine. 1996; 15(4): 361-87[DOI]
  • 16. Polak JF, Meisner A, Pencina MJ, Wolf PA, D'Agostino RB. Variations in common carotid artery intima-media thickness during the cardiac cycle: implications for cardiovascular risk assessment. J Am Soc Echocardiogr. 2012; 25(9): 1023-8[DOI][PubMed]
  • 17. Chambless LE, Cummiskey CP, Cui G. Several methods to assess improvement in risk prediction models: extension to survival analysis. Stat Med. 2011; 30(1): 22-38[DOI][PubMed]
  • 18. Pencina MJ, D'Agostino RS, Steyerberg EW. Extensions of net reclassification improvement calculations to measure usefulness of new biomarkers. Stat Med. 2011; 30(1): 11-21[DOI][PubMed]
  • 19. Azizi F, Ghanbarian A, Momenan AA, Hadaegh F, Mirmiran P, Hedayati M, et al. Prevention of non-communicable disease in a population in nutrition transition: Tehran Lipid and Glucose Study phase II. Trials. 2009; 10: 5[DOI][PubMed]
  • 20. Freedman DS, Kahn HS, Mei Z, Grummer-Strawn LM, Dietz WH, Srinivasan SR, et al. Relation of body mass index and waist-to-height ratio to cardiovascular disease risk factors in children and adolescents: the Bogalusa Heart Study. Am J Clin Nutr. 2007; 86(1): 33-40[PubMed]
  • 21. Hadaegh F, Harati H, Ghanbarian A, Azizi F. Association of total cholesterol versus other serum lipid parameters with the short-term prediction of cardiovascular outcomes: Tehran Lipid and Glucose Study. Eur J Cardiovasc Prev Rehabil. 2006; 13(4): 571-7[DOI][PubMed]
  • 22. Gibbons RJ, Abrams J, Chatterjee K, Daley J, Deedwania PC, Douglas JS, et al. ACC/AHA 2002 guideline update for the management of patients with chronic stable angina--summary article: a report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines (Committee on the Management of Patients With Chronic Stable Angina). Circulation. 2003; 107(1): 149-58[PubMed]
  • 23. Braunwald E, Antman EM, Beasley JW, Califf RM, Cheitlin MD, Hochman JS, et al. ACC/AHA guideline update for the management of patients with unstable angina and non-ST-segment elevation myocardial infarction--2002: summary article: a report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines (Committee on the Management of Patients With Unstable Angina). Circulation. 2002; 106(14): 1893-900[PubMed]
  • 24. Bozorgmanesh M. New prediction rule for incident hypertension: Atherosclerosis Risk in Communities (ARIC) Study/Cardiovascular Health Study (CHS). J Clin Hypertens (Greenwich). 2011; 13(10): 780[DOI][PubMed]
  • 25. Bozorgmanesh M, Hadaegh F, Azizi F. A simple clinical model predicted diabetes progression among prediabetic individuals. Diabetes Res Clin Pract. 2012; 97(2)-6
  • 26. Bozorgmanesh M, Hadaegh F, Azizi F. Diabetes prediction, lipid accumulation product, and adiposity measures; 6-year follow-up: Tehran lipid and glucose study. Lipids Health Dis. 2010; 9: 45[DOI][PubMed]
  • 27. Bozorgmanesh M, Hadaegh F, Azizi F. Predictive performances of lipid accumulation product vs. adiposity measures for cardiovascular diseases and all-cause mortality, 8.6-year follow-up: Tehran lipid and glucose study. Lipids Health Dis. 2010; 9(1): 100[DOI]
  • 28. Bozorgmanesh M, Hadaegh F, Azizi F. Predictive performance of the visceral adiposity index for a visceral adiposity-related risk: type 2 diabetes. Lipids Health Dis. 2011; 10: 88[DOI][PubMed]
  • 29. Bozorgmanesh M, Hadaegh F, Azizi F. Predictive accuracy of the ‘Framingham’s general CVD algorithm’in a Middle Eastern population: Tehran Lipid and Glucose Study. Int J Clin Pract. 2011; 65(3): 264-73
  • 30. Bozorgmanesh M, Hadaegh F, Azizi F. Beta-cell age calculator, a translational yardstick to communicate diabetes risk with patients: tehran lipid and glucose study. ISRN Family Med. 2013; 2013: 541091[DOI][PubMed]
  • 31. Bozorgmanesh M, Hadaegh F, Ghaffari S, Harati H, Azizi F. A simple risk score effectively predicted type 2 diabetes in Iranian adult population: population-based cohort study. Eur J Public Health. 2011; 21(5): 554-9
  • 32. Bozorgmanesh M, Hadaegh F, Mehrabi Y, Azizi F. A point-score system superior to blood pressure measures alone for predicting incident hypertension: Tehran Lipid and Glucose Study. Journal of hypertension. 2011; 29(8): 1486-93
  • 33. Mohammadreza B, Farzad H, Davoud K, Fereidoun Prof AF. Prognostic significance of the complex "Visceral Adiposity Index" vs. simple anthropometric measures: Tehran lipid and glucose study. Cardiovasc Diabetol. 2012; 11: 20[DOI][PubMed]
  • 34. Bozorgmanesh M, Hadaegh F, Zabetian A, Azizi F. San Antonio heart study diabetes prediction model applicable to a Middle Eastern population? Tehran glucose and lipid study. Int J Public Health. 2010; 55(4): 315-23[DOI][PubMed]
  • 35. Pencina MJ, D'Agostino RB, Pencina KM, Janssens ACJW, Greenland P. Interpreting Incremental Value of Markers Added to Risk Prediction Models. American Journal of Epidemiology. 2012; 176(6): 473-81[DOI]
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