Suppr超能文献

随着时间的推移,LDL-胆固醇降低对心血管风险影响的过程:60 项随机对照试验的荟萃分析。

Course of the effects of LDL-cholesterol reduction on cardiovascular risk over time: A meta-analysis of 60 randomized controlled trials.

机构信息

Department of Vascular Medicine, University Medical Centre Utrecht, Utrecht, the Netherlands.

Department of Cardiology, Green Heart Hospital, Gouda, the Netherlands.

出版信息

Atherosclerosis. 2024 Sep;396:118540. doi: 10.1016/j.atherosclerosis.2024.118540. Epub 2024 Jul 11.

Abstract

BACKGROUND AND AIMS

Individuals with or at high risk of cardiovascular disease (CVD) often receive long-term treatment with low-density lipoprotein cholesterol (LDL-C) lowering therapies, but whether the effects of LDL-C reduction remain stable over time is uncertain. This study aimed to establish the course of the effects of LDL-C reduction on cardiovascular risk over time.

METHODS

Randomized controlled trials (RCTs) of LDL-C lowering therapies were identified through a search in MEDLINE and EMBASE (1966-January 2023). The primary analyses were restricted to statins, ezetimibe, and proprotein convertase subtilisin-kexin type 9 (PCSK9) inhibitors, with other therapies included in sensitivity analyses. Random-effects meta-analyses were performed to establish the hazard ratio (HR) for major vascular events (cardiovascular death, myocardial infarction, unstable angina, coronary revascularization, or stroke) per 1 mmol/L LDL-C reduction. Course of the effects over time was assessed using random-effects meta-regression analyses for the association between follow-up duration, age, and the HR for major vascular events per 1 mmol/L LDL-C reduction. Additionally, treatment-by-time interactions were evaluated in an individual participant data meta-analysis of six atorvastatin trials.

RESULTS

A total of 60 RCTs were identified (408,959 participants, 51,425 major vascular events). The HR for major vascular events per 1 mmol/L LDL-C reduction was 0.78 (95 % confidence interval [CI] 0.75-0.81). Follow-up duration was not associated with a change in the HR for major vascular events (HR for change per year 0.994; 95 % CI 0.970-1.020; p = 0.66). The HR attenuated with increasing age in primary prevention (HR for change per 5 years 1.097; 95 % CI 1.031-1.168; p = 0.003), but not secondary prevention (HR for change per 5 years 0.987; 95 % CI 0.936-1.040; p = 0.63). Consistent results were found for statin trials only, and all trials combined. In the individual participant data meta-analysis (31,310 participants, 6734 major vascular events), the HR for major vascular events did not significantly change over follow-up time (HR for change per year 0.983; 95 % CI 0.943-1.025; p = 0.42), or age (HR for change per 5 years 1.022; 95 % CI 0.990-1.055; p = 0.18).

CONCLUSIONS

Based on available RCT data with limited follow-up duration, the relative treatment effects of LDL-C reduction are stable over time in secondary prevention, but may attenuate with higher age in primary prevention.

摘要

背景和目的

患有心血管疾病(CVD)或有 CVD 风险的个体通常需要长期接受降低低密度脂蛋白胆固醇(LDL-C)的治疗,但 LDL-C 降低的效果是否随时间稳定尚不确定。本研究旨在确定 LDL-C 降低对心血管风险的影响随时间的变化过程。

方法

通过在 MEDLINE 和 EMBASE 中进行检索,确定了 LDL-C 降低治疗的随机对照试验(RCT)。主要分析仅限于他汀类药物、依折麦布和前蛋白转化酶枯草溶菌素 9(PCSK9)抑制剂,其他治疗方法包括在敏感性分析中。采用随机效应荟萃分析确定每降低 1mmol/L LDL-C 时主要血管事件(心血管死亡、心肌梗死、不稳定型心绞痛、冠状动脉血运重建或中风)的危险比(HR)。使用随机效应荟萃回归分析评估随时间变化的效果,分析随访时间、年龄与每降低 1mmol/L LDL-C 时主要血管事件的 HR 之间的关系。此外,在六项阿托伐他汀试验的个体参与者数据荟萃分析中评估了治疗与时间的相互作用。

结果

共确定了 60 项 RCT(408959 名参与者,51425 例主要血管事件)。每降低 1mmol/L LDL-C 时主要血管事件的 HR 为 0.78(95%置信区间 [CI] 0.75-0.81)。随访时间与主要血管事件的 HR 变化无关(每年 HR 变化 0.994;95%CI 0.970-1.020;p=0.66)。在一级预防中,HR 随年龄的增加而减弱(每 5 年 HR 变化 1.097;95%CI 1.031-1.168;p=0.003),但在二级预防中则没有(每 5 年 HR 变化 0.987;95%CI 0.936-1.040;p=0.63)。仅他汀类药物试验和所有试验的综合结果一致。在个体参与者数据荟萃分析(31310 名参与者,6734 例主要血管事件)中,主要血管事件的 HR 随随访时间无显著变化(每年 HR 变化 0.983;95%CI 0.943-1.025;p=0.42)或年龄(每 5 年 HR 变化 1.022;95%CI 0.990-1.055;p=0.18)。

结论

基于有限随访时间的可用 RCT 数据,LDL-C 降低的相对治疗效果在二级预防中随时间稳定,但在一级预防中可能随年龄增加而减弱。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验