Validation of the general Framingham Risk Score (FRS) , SCORE2, revised PCE and WHO CVD risk scores in an Asian population

被引:28
作者
Kasim, Sazzli Shahlan [1 ,2 ,3 ]
Ibrahim, Nurulain [4 ,11 ]
Malek, Sorayya [5 ]
Ibrahim, Khairul Shafiq [1 ]
Aziz, Muhammad Firdaus [5 ]
Song, Cheen [5 ]
Chia, Yook Chin [6 ,7 ]
Ramli, Anis Safura [3 ]
Negishi, Kazuaki [8 ,9 ]
Nasir, Nafiza Mat [10 ]
机构
[1] Hosp Univ Teknol MARA HUiTM, Fac Med, Cardiol Dept, Puncak Alam, Selangor, Malaysia
[2] Univ Teknol MARA UiTM, Cardiac Vasc & Lung Res Inst CaVaLRI, Sungai Buloh, Malaysia
[3] Univ Teknol MARA UiTM Sungai Buloh, Inst Pathol, Fac Med, Lab & Forens Med,I PPerForM, Sungai Buloh, Selangor, Malaysia
[4] Univ Teknol MARA UiTM, Fac Med, Sungai Buloh, Selangor, Malaysia
[5] Univ Malaya, Inst Biol Sci, Fac Sci, Bioinformat Div, Kuala Lumpur, Malaysia
[6] Sunway Univ, Sch Med & Life Sci, Dept Med Sci, Bandar Sunway, Selangor, Malaysia
[7] Univ Malaya, Fac Med, Dept Primary Care Med, Kuala Lumpur, Malaysia
[8] Univ Sydney, Fac Med & Hlth, Charles Perkins Ctr Nepean, Sydney Med Sch Nepean, Sydney, NSW, Australia
[9] Nepean Hosp, Sydney, NSW, Australia
[10] Univ Teknol MARA UiTM Sungai Buloh, Fac Med, Primary Care Dept, Sungai Buloh, Selangor, Malaysia
[11] Jalan Hosp, UiTM Sungai Buloh, Fac Med, Sungai Buloh 47000, Selangor, Malaysia
来源
LANCET REGIONAL HEALTH-WESTERN PACIFIC | 2023年 / 35卷
关键词
Cardiovascular disease; Risk prediction model; Asian; SCORE2; Revised PCE; WHO CVD risk score; WORLD-HEALTH-ORGANIZATION; CARDIOVASCULAR-DISEASE; PREDICTION MODELS; CHARTS;
D O I
10.1016/j.lanwpc.2023.100742
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
Background Cardiovascular risk prediction models incorporate myriad CVD risk factors. Current prediction models are developed from non-Asian populations, and their utility in other parts of the world is unknown. We validated and compared the performance of CVD risk prediction models in an Asian population.Methods Four validation groups were extracted from a longitudinal community-based study dataset of 12,573 participants aged & GE;18 years to validate the Framingham Risk Score (FRS), Systematic COronary Risk Evaluation 2 (SCORE2), Revised Pooled Cohort Equations (RPCE), and World Health Organization cardiovascular disease (WHO CVD) models. Two measures of validation are examined: discrimination and calibration. Outcome of interest was 10-year risk of CVD events (fatal and non-fatal). SCORE2 and RPCE performances were compared to SCORE and PCE, respectively. Findings FRS (AUC = 0.750) and RPCE (AUC = 0.752) showed good discrimination in CVD risk prediction. Although FRS and RPCE have poor calibration, FRS demonstrates smaller discordance for FRS vs. RPCE (298% vs. 733% in men, 146% vs. 391% in women). Other models had reasonable discrimination (AUC = 0.706-0.732). Only SCORE2-Low,-Moderate and-High (aged <50) had good calibration (X2 goodness-of -fit, P-value = 0.514, 0.189, 0.129, respectively). SCORE2 and RPCE showed improvements compared to SCORE (AUC = 0.755 vs. 0.747, P-value <0.001) and PCE (AUC = 0.752 vs. 0.546, P-value <0.001), respectively. Almost all risk models overestimated 10 -year CVD risk by 3%-1430%.Interpretation In Malaysians, RPCE are evaluated be the most clinically useful to predict CVD risk. Additionally, SCORE2 and RPCE outperformed SCORE and PCE, respectively.Funding This work was supported by the Malaysian Ministry of Science, Technology, and Innovation (MOSTI) (Grant No: TDF03211036).Copyright & COPY; 2023 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
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