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亚太地区心血管疾病的风险预测:SCORE2亚太模型

Risk prediction of cardiovascular disease in the Asia-Pacific region: the SCORE2 Asia-Pacific model.

作者信息

Hageman Steven H J, Huang Zijuan, Lee Hokyou, Kaptoge Stephen, Dorresteijn Jannick A N, Pennells Lisa, Di Angelantonio Emanuele, Visseren Frank L J, Kim Hyeon Chang, Johar Sofian

机构信息

Department of Vascular Medicine, University Medical Center Utrecht, PO Box 85500, 3508 GA, Utrecht, The Netherlands.

Cardiology, National Heart Centre Singapore, Singapore.

出版信息

Eur Heart J. 2025 Feb 21;46(8):702-715. doi: 10.1093/eurheartj/ehae609.

Abstract

BACKGROUND AND AIMS

To improve upon the estimation of 10-year cardiovascular disease (CVD) event risk for individuals without prior CVD or diabetes mellitus in the Asia-Pacific region by systematic recalibration of the SCORE2 risk algorithm.

METHODS

The sex-specific and competing risk-adjusted SCORE2 algorithms were systematically recalibrated to reflect CVD incidence observed in four Asia-Pacific risk regions, defined according to country-level World Health Organization age- and sex-standardized CVD mortality rates. Using the same approach as applied for the original SCORE2 models, recalibration to each risk region was completed using expected CVD incidence and risk factor distributions from each region.

RESULTS

Risk region-specific CVD incidence was estimated using CVD mortality and incidence data on 8 405 574 individuals (556 421 CVD events). For external validation, data from 9 560 266 individuals without previous CVD or diabetes were analysed in 13 prospective studies from 12 countries (350 550 incident CVD events). The pooled C-index of the SCORE2 Asia-Pacific algorithms in the external validation datasets was .710 [95% confidence interval (CI) .677-.744]. Cohort-specific C-indices ranged from .605 (95% CI .597-.613) to .840 (95% CI .771-.909). Estimated CVD risk varied several-fold across Asia-Pacific risk regions. For example, the estimated 10-year CVD risk for a 50-year-old non-smoker, with a systolic blood pressure of 140 mmHg, total cholesterol of 5.5 mmol/L, and high-density lipoprotein cholesterol of 1.3 mmol/L, ranged from 7% for men in low-risk countries to 14% for men in very-high-risk countries, and from 3% for women in low-risk countries to 13% for women in very-high-risk countries.

CONCLUSIONS

The SCORE2 Asia-Pacific algorithms have been calibrated to estimate 10-year risk of CVD for apparently healthy people in Asia and Oceania, thereby enhancing the identification of individuals at higher risk of developing CVD across the Asia-Pacific region.

摘要

背景与目的

通过对SCORE2风险算法进行系统重新校准,改进对亚太地区无既往心血管疾病(CVD)或糖尿病个体的10年心血管疾病事件风险的估计。

方法

对特定性别和竞争风险调整后的SCORE2算法进行系统重新校准,以反映在四个亚太风险区域观察到的CVD发病率,这些区域根据国家层面世界卫生组织年龄和性别标准化的CVD死亡率来定义。使用与原始SCORE2模型相同的方法,利用每个区域的预期CVD发病率和风险因素分布,完成对每个风险区域的重新校准。

结果

利用8405574名个体(556421例CVD事件)的CVD死亡率和发病率数据估计特定风险区域的CVD发病率。为进行外部验证,在来自12个国家的13项前瞻性研究中分析了9560266名无既往CVD或糖尿病个体的数据(350550例新发CVD事件)。外部验证数据集中SCORE2亚太算法的合并C指数为0.710[95%置信区间(CI)0.677 - 0.744]。特定队列的C指数范围为0.605(95%CI 0.597 - 0.613)至0.840(95%CI 0.771 - 0.909)。整个亚太风险区域估计的CVD风险相差数倍。例如,对于一名50岁的非吸烟者,收缩压为140 mmHg,总胆固醇为5.5 mmol/L,高密度脂蛋白胆固醇为1.3 mmol/L,其估计的10年CVD风险,低风险国家男性为7%,极高风险国家男性为14%;低风险国家女性为3%,极高风险国家女性为13%。

结论

SCORE2亚太算法已校准,用于估计亚洲和大洋洲表面健康人群的10年CVD风险,从而加强对整个亚太地区CVD发生风险较高个体的识别。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8357/11842970/8cc43bc6b907/ehae609_sga.jpg

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