Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut, USA.
Social and Preventive Medicine, Hospital das Clinicas da Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.
Open Heart. 2024 Jun 11;11(1):e002762. doi: 10.1136/openhrt-2024-002762.
Despite notable population differences in high-income and low- and middle-income countries (LMICs), national guidelines in LMICs often recommend using US-based cardiovascular disease (CVD) risk scores for treatment decisions. We examined the performance of widely used international CVD risk scores within the largest Brazilian community-based cohort study (Brazilian Longitudinal Study of Adult Health, ELSA-Brasil).
All adults 40-75 years from ELSA-Brasil (2008-2013) without prior CVD who were followed for incident, adjudicated CVD events (fatal and non-fatal MI, stroke, or coronary heart disease death). We evaluated 5 scores-Framingham General Risk (FGR), Pooled Cohort Equations (PCEs), WHO CVD score, Globorisk-LAC and the Systematic Coronary Risk Evaluation 2 score (SCORE-2). We assessed their discrimination using the area under the receiver operating characteristic curve (AUC) and calibration with predicted-to-observed risk (P/O) ratios-overall and by sex/race groups.
There were 12 155 individuals (53.0±8.2 years, 55.3% female) who suffered 149 incident CVD events. All scores had a model AUC>0.7 overall and for most age/sex groups, except for white women, where AUC was <0.6 for all scores, with higher overestimation in this subgroup. All risk scores overestimated CVD risk with 32%-170% overestimation across scores. PCE and FGR had the highest overestimation (P/O ratio: 2.74 (95% CI 2.42 to 3.06)) and 2.61 (95% CI 1.79 to 3.43)) and the recalibrated WHO score had the best calibration (P/O ratio: 1.32 (95% CI 1.12 to 1.48)).
In a large prospective cohort from Brazil, we found that widely accepted CVD risk scores overestimate risk by over twofold, and have poor risk discrimination particularly among Brazilian women. Our work highlights the value of risk stratification strategies tailored to the unique populations and risks of LMICs.
尽管高收入国家和中低收入国家(LMICs)的人口存在显著差异,但 LMICs 的国家指南通常建议使用基于美国的心血管疾病(CVD)风险评分来做出治疗决策。我们在巴西最大的社区为基础的队列研究(巴西成人健康纵向研究,ELSA-Brasil)中研究了广泛使用的国际 CVD 风险评分的表现。
ELSA-Brasil(2008-2013 年)中所有 40-75 岁、无既往 CVD 的成年人,随访期间发生、经裁决的 CVD 事件(致命和非致命性心肌梗死、中风或冠心病死亡)。我们评估了 5 种评分——Framingham 一般风险评分(FGR)、汇总队列方程(PCE)、世界卫生组织 CVD 评分、Globorisk-LAC 和系统性冠状动脉风险评估 2 评分(SCORE-2)。我们使用受试者工作特征曲线下面积(AUC)评估其判别能力,并使用预测与观察风险比(总体和按性别/种族组)评估其校准。
共有 12155 人(53.0±8.2 岁,55.3%为女性)发生 149 例首发 CVD 事件。所有评分的模型 AUC 均>0.7,除了白人女性,在所有评分中 AUC<0.6,在这个亚组中高估程度更高。所有风险评分均高估 CVD 风险,高估幅度为 32%-170%。PCE 和 FGR 的高估程度最高(P/O 比值:2.74(95% CI 2.42 至 3.06))和 2.61(95% CI 1.79 至 3.43)),重新校准的世界卫生组织评分的校准效果最好(P/O 比值:1.32(95% CI 1.12 至 1.48))。
在巴西的一项大型前瞻性队列研究中,我们发现广泛接受的 CVD 风险评分高估风险超过两倍,且风险判别能力较差,特别是在巴西女性中。我们的工作强调了针对 LMICs 独特人群和风险制定风险分层策略的价值。