Department of Vascular Medicine, University Medical Center Utrecht, Utrecht, The Netherlands.
Department of Public Health and Primary Care, University of Cambridge, CambridgeUK.
Eur J Prev Cardiol. 2024 Oct 10;31(14):1690-1699. doi: 10.1093/eurjpc/zwae174.
The 2021 European Society of Cardiology prevention guidelines recommend the use of (lifetime) risk prediction models to aid decisions regarding initiation of prevention. We aimed to update and systematically recalibrate the LIFEtime-perspective CardioVascular Disease (LIFE-CVD) model to four European risk regions for the estimation of lifetime CVD risk for apparently healthy individuals.
The updated LIFE-CVD (i.e. LIFE-CVD2) models were derived using individual participant data from 44 cohorts in 13 countries (687 135 individuals without established CVD, 30 939 CVD events in median 10.7 years of follow-up). LIFE-CVD2 uses sex-specific functions to estimate the lifetime risk of fatal and non-fatal CVD events with adjustment for the competing risk of non-CVD death and is systematically recalibrated to four distinct European risk regions. The updated models showed good discrimination in external validation among 1 657 707 individuals (61 311 CVD events) from eight additional European cohorts in seven countries, with a pooled C-index of 0.795 (95% confidence interval 0.767-0.822). Predicted and observed CVD event risks were well calibrated in population-wide electronic health records data in the UK (Clinical Practice Research Datalink) and the Netherlands (Extramural LUMC Academic Network). When using LIFE-CVD2 to estimate potential gain in CVD-free life expectancy from preventive therapy, projections varied by risk region reflecting important regional differences in absolute lifetime risk. For example, a 50-year-old smoking woman with a systolic blood pressure (SBP) of 140 mmHg was estimated to gain 0.9 years in the low-risk region vs. 1.6 years in the very high-risk region from lifelong 10 mmHg SBP reduction. The benefit of smoking cessation for this individual ranged from 3.6 years in the low-risk region to 4.8 years in the very high-risk region.
By taking into account geographical differences in CVD incidence using contemporary representative data sources, the recalibrated LIFE-CVD2 model provides a more accurate tool for the prediction of lifetime risk and CVD-free life expectancy for individuals without previous CVD, facilitating shared decision-making for cardiovascular prevention as recommended by 2021 European guidelines.
2021 年欧洲心脏病学会预防指南建议使用(终生)风险预测模型来辅助启动预防措施的决策。我们旨在更新和系统地重新校准 LIFEtime-perspective 心血管疾病(LIFE-CVD)模型,以估计四个欧洲风险地区的健康个体终生心血管疾病风险。
使用来自 13 个国家的 44 个队列的个体参与者数据(687135 名无明确心血管疾病的个体,中位随访 10.7 年期间 30939 例心血管疾病事件),得出了更新的 LIFE-CVD(即 LIFE-CVD2)模型。LIFE-CVD2 使用性别特异性函数来估计致命和非致命心血管疾病事件的终生风险,并对非心血管疾病死亡的竞争风险进行调整,同时系统地重新校准至四个不同的欧洲风险地区。在来自七个国家的八个额外欧洲队列的 1657707 名个体(61311 例心血管疾病事件)中进行的外部验证中,更新后的模型显示出良好的区分度,合并 C 指数为 0.795(95%置信区间 0.767-0.822)。在英国(临床实践研究数据链接)和荷兰(校外 LUMC 学术网络)的人群电子健康记录数据中,预测和观察到的心血管疾病事件风险校准良好。当使用 LIFE-CVD2 估计预防治疗对无心血管疾病预期寿命的潜在获益时,由于绝对终生风险的重要区域差异,预测结果因风险地区而异。例如,一位 50 岁的吸烟女性,收缩压为 140mmHg,预计从终身降低 10mmHg 收缩压中获益 0.9 年,而在极高风险地区则获益 1.6 年。对于该个体,戒烟的获益范围从低风险地区的 3.6 年到极高风险地区的 4.8 年不等。
通过使用当代代表性数据源考虑心血管疾病发生率的地域差异,重新校准的 LIFE-CVD2 模型为预测无先前心血管疾病个体的终生风险和无心血管疾病预期寿命提供了更准确的工具,从而为 2021 年欧洲指南推荐的心血管预防提供了更准确的工具。