Cardiovascular disease risk prediction in multi-ethnic Asian populations: evidence from two population-based cohorts in Singapore

Authors

Charlie G. Lim, Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, 12 Science Drive 2, 117549, Singapore.
Crystal C. Chong, Singapore Eye Research Institute, Singapore National Eye Centre, 20 College Road Discovery Tower Level 6, 169856, Singapore.
Yvonne H. Wong, Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, 12 Science Drive 2, 117549, Singapore.
Jiali Yao, Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, 12 Science Drive 2, 117549, Singapore.
Stefen Ma, Ministry of Health, Singapore, 16 College Road College of Medicine Building, 169854, Singapore.
John C. Chambers, Nanyang Technological University Lee Kong Chian School of Medicine, Level 18 Clinical Sciences Building, 11 Mandalay Road, 308232, Singapore.
Khung Keong Yeo, National Heart Centre Singapore, 5 Hospital Dr, 169609, Singapore.
E Shyong Tai, Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, 12 Science Drive 2, 117549, Singapore.
Jasper Tromp, Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, 12 Science Drive 2, 117549, Singapore.
Rob M. van Dam, Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, 12 Science Drive 2, 117549, Singapore.
Saima Hilal, Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, 12 Science Drive 2, 117549, Singapore.
Charumathi Sabanayagam, Singapore Eye Research Institute, Singapore National Eye Centre, 20 College Road Discovery Tower Level 6, 169856, Singapore.
Ching-Yu Cheng, Singapore Eye Research Institute, Singapore National Eye Centre, 20 College Road Discovery Tower Level 6, 169856, Singapore.
Xueling Sim, Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, 12 Science Drive 2, 117549, Singapore.

Document Type

Journal Article

Publication Date

1-1-2026

Journal

The Lancet regional health. Western Pacific

Volume

66

DOI

10.1016/j.lanwpc.2025.101794

Keywords

Asia; Cardiovascular disease; Framingham risk score; Pooled cohort equations; Risk assessment; Risk prediction; SCORE2

Abstract

BACKGROUND: The rising burden of cardiovascular diseases (CVD) in Asia requires risk assessment tools tailored to Asian populations. Therefore, we recalibrated the ACC/AHA Pooled Cohort Equations for non-Hispanic Whites (PCE-W) and compared its performance in predicting 10-year CVD risk with two other established CVD prediction models that have been recently recalibrated for Asian populations. METHODS: We used data from the Singapore Multi-Ethnic Cohort (MEC1) and the Singapore Epidemiology of Eye Diseases (SEED) cohort comprising ethnic Chinese, Indian, and Malay participants. The PCE-W was recalibrated using data from MEC1, externally validated in the SEED cohort, and compared against the Singapore-modified Framingham Risk Score (SG-FRS-2023) and the SCORE2 Asia-Pacific model using the concordance index (C-index). Calibration was assessed using the calibration-in-the-large method, the calibration slope, and a goodness-of-fit test. FINDINGS: All three models demonstrated possibly helpful to clearly useful discrimination in MEC1 and SEED, with overall C-indices ranging from 0.728 to 0.811. The recalibrated PCE-W outperformed the original PCE-W in MEC1 and SEED, although some misestimations remained among Chinese men and women and Malay women (calibration-in-the-large ranged from -0.479 to 0.260). The SG-FRS-2023 displayed generally satisfactory calibration across both MEC1 and SEED but tended to overestimate risk in Chinese (calibration-in-the-large -0.671) and Indian men (calibration-in-the-large -0.214) in the SEED cohort. The SCORE2 Asia-Pacific model performed satisfactorily among Indians but overestimated risk in Chinese (calibration-in-the-large ranged from -0.570 to -1.185) and showed poor model fit in Malays. INTERPRETATION: The recalibrated PCE-W, SG-FRS-2023, and SCORE2 Asia-Pacific model demonstrated possibly helpful to clearly useful discrimination across two multi-ethnic cohorts in Singapore. In terms of calibration, the recalibrated PCE-W and SG-FRS-2023, both recalibrated using local data, performed better than the SCORE2 Asia-Pacific model. Our study supports the use of the established CVD prediction models in Asian populations following appropriate local recalibration. FUNDING: This work was supported by the Singapore Ministry of Health's National Medical Research Council and the Singapore Biomedical Research Council.

Department

Exercise and Nutrition Sciences

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