Xu Zhe, Usher-Smith Juliet, Pennells Lisa, Chung Ryan, Arnold Matthew, Kim Lois, Kaptoge Stephen, Sperrin Matthew, Di Angelantonio Emanuele, Wood Angela M
British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.
Primary Care Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.
BMJ Med. 2024 Aug 12;3(1):e000633. doi: 10.1136/bmjmed-2023-000633. eCollection 2024.
To quantify the potential advantages of using 10 year risk prediction models for cardiovascular disease, in combination with risk thresholds specific to both age and sex, to identify individuals at high risk of cardiovascular disease for allocation of statin treatment.
Prospective open cohort study.
Primary care data from the UK Clinical Practice Research Datalink GOLD, linked with hospital admissions from Hospital Episode Statistics and national mortality records from the Office for National Statistics in England, 1 January 2006 to 31 May 2019.
1 046 736 individuals (aged 40-85 years) with no cardiovascular disease, diabetes, or a history of statin treatment at baseline using data from electronic health records.
10 year risk of cardiovascular disease, calculated with version 2 of the QRISK cardiovascular disease risk algorithm (QRISK2), with two main strategies to identify individuals at high risk: in strategy A, estimated risk was a fixed cut-off value of ≥10% (ie, as per the UK National Institute for Health and Care Excellence guidelines); in strategy B, estimated risk was ≥10% or ≥90th centile of age and sex specific risk distributions.
Compared with strategy A, strategy B stratified 20 241 (149.8%) more women aged ≤53 years and 9832 (150.2%) more men aged ≤47 years as having a high risk of cardiovascular disease; for all other ages the strategies were the same. Assuming that treatment with statins would be initiated in those identified as high risk, differences in the estimated gain in cardiovascular disease-free life years from statin treatment for strategy B versus strategy A were 0.14 and 0.16 years for women and men aged 40 years, respectively; among individuals aged 40-49 years, the numbers needed to treat to prevent one cardiovascular disease event for strategy B versus strategy A were 39 versus 21 in women and 19 versus 15 in men, respectively.
This study quantified the potential gains in cardiovascular disease-free life years when implementing prevention strategies based on age and sex specific risk thresholds instead of a fixed risk threshold for allocation of statin treatment. Such gains should be weighed against the costs of treating more younger people with statins for longer.
量化使用心血管疾病10年风险预测模型并结合特定年龄和性别的风险阈值来识别心血管疾病高危个体以分配他汀类药物治疗的潜在优势。
前瞻性开放队列研究。
来自英国临床实践研究数据链黄金版的初级保健数据,与医院事件统计中的住院数据以及英格兰国家统计局的国家死亡率记录相链接,时间跨度为2006年1月1日至2019年5月31日。
使用电子健康记录数据,纳入1046736名无心血管疾病、糖尿病或他汀类药物治疗史的个体(年龄40 - 85岁)。
使用QRISK心血管疾病风险算法第2版(QRISK2)计算的心血管疾病10年风险,采用两种主要策略识别高危个体:在策略A中,估计风险为固定截止值≥10%(即按照英国国家卫生与临床优化研究所指南);在策略B中,估计风险为≥10%或年龄和性别特异性风险分布的第90百分位数。
与策略A相比,策略B将年龄≤53岁的女性中多20241名(多149.8%)、年龄≤47岁的男性中多9832名(多150.2%)分层为心血管疾病高危;对于所有其他年龄,两种策略相同。假设在识别为高危的个体中启动他汀类药物治疗,策略B与策略A相比,40岁女性和男性因他汀类药物治疗在无心血管疾病生命年的估计获益差异分别为0.14年和0.16年;在40 - 49岁个体中,策略B与策略A相比预防1例心血管疾病事件所需治疗人数,女性分别为39对21,男性分别为19对15。
本研究量化了在分配他汀类药物治疗时,基于年龄和性别特异性风险阈值而非固定风险阈值实施预防策略时在无心血管疾病生命年方面的潜在获益。这种获益应与让更多年轻人长期接受他汀类药物治疗的成本相权衡。