The ACC/AHA 2013 pooled cohort equations compared to a Korean Risk Prediction Model for atherosclerotic cardiovascular disease

• Published in: Atherosclerosis 2015-09, Vol.242 (1), p.367-375
• Main Authors: Jung, Keum Ji, Jang, Yangsoo, Oh, Dong Joo, Oh, Byung-Hee, Lee, Sang Hoon, Park, Seong-Wook, Seung, Ki-Bae, Kim, Hong-Kyu, Yun, Young Duk, Choi, Sung Hee, Sung, Jidong, Lee, Tae-Yong, Kim, Sung hi, Koh, Sang Baek, Kim, Moon Chan, Chang Kim, Hyeon, Kimm, Heejin, Nam, Chungmo, Park, Sungha, Jee, Sun Ha
• Format: Article
• Language: English
• Subjects: Adult; Aged; Area Under Curve; Asian Continental Ancestry Group; Atherosclerosis - diagnosis; Atherosclerosis - ethnology; Atherosclerotic cardiovascular disease; Cardiovascular; Chi-Square Distribution; Cohort study; Decision Support Techniques; Female; Humans; Incidence; Male; Middle Aged; Prediction; Predictive Value of Tests; Proportional Hazards Models; Republic of Korea - epidemiology; Risk Assessment; Risk Factors; ROC Curve; Sex Factors; Time Factors; Validation
• ISSN: 0021-9150; 1879-1484
• DOI: 10.1016/j.atherosclerosis.2015.07.033

Abstract Background and aims To evaluate the performance of the American College of Cardiology/American Heart Association (ACC/AHA) 2013 Pooled Cohort Equations in the Korean Heart Study (KHS) population and to develop a Korean Risk Prediction Model (KRPM) for atherosclerotic cardiovascular disease (ASCVD) events. Methods The KHS cohort included 200,010 Korean adults aged 40–79 years who were free from ASCVD at baseline. Discrimination, calibration, and recalibration of the ACC/AHA Equations in predicting 10-year ASCVD risk in the KHS cohort were evaluated. The KRPM was derived using Cox model coefficients, mean risk factor values, and mean incidences from the KHS cohort. Results In the discriminatory analysis, the ACC/AHA Equations' White and African–American (AA) models moderately distinguished cases from non-cases, and were similar to the KRPM: For men, the area under the receiver operating characteristic curve (AUROCs) were 0.727 (White model), 0.725 (AA model), and 0.741 (KRPM); for women, the corresponding AUROCs were 0.738, 0.739, and 0.745. Absolute 10-year ASCVD risk for men in the KHS cohort was overestimated by 56.5% (White model) and 74.1% (AA model), while the risk for women was underestimated by 27.9% (White model) and overestimated by 29.1% (AA model). Recalibration of the ACC/AHA Equations did not affect discriminatory ability but improved calibration substantially, especially in men in the White model. Of the three ASCVD risk prediction models, the KRPM showed best calibration. Conclusions The ACC/AHA Equations should not be directly applied for ASCVD risk prediction in a Korean population. The KRPM showed best predictive ability for ASCVD risk.