Sex Differences in Long-term Heart Failure Prognosis: A Comprehensive Meta-Analysis.

IF 8.4 2区 医学 Q1 CARDIAC & CARDIOVASCULAR SYSTEMS European journal of preventive cardiology Pub Date : 2024-08-05 DOI:10.1093/eurjpc/zwae256
Weida Qiu, Wenbin Wang, Shiping Wu, Yanchen Zhu, He Zheng, Yingqing Feng
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Abstract

Aims: Sex differences in the long-term prognosis of heart failure (HF) remain controversial, and there is a lack of comprehensive pooling of the sex differences in outcomes of HF. This study aims to characterize the sex differences in the long-term prognosis of HF and explore whether these differences vary by age, HF course, left ventricular ejection fraction, region, period of study, study design, and follow-up duration.

Methods and results: A systematic review was conducted using Medline, Embase, Web of Science, and the Cochrane Library, from January 1, 1990, to March 31, 2024. The primary outcome was all-cause mortality (ACM), and the secondary outcomes included cardiovascular mortality (CVM), hospitalization for HF (HHF), all-cause hospitalization, a composite of ACM and HHF, and a composite of CVM and HHF. Pooled hazard risks (HRs) with corresponding 95% confidence intervals (CIs) were calculated using random effects meta-analysis. 94 studies (comprising 96 cohorts) were included in the meta-analysis, representing 706,247 participants (56.5% were men, the mean age was 71.0 years). Female HF patients had a lower risk of ACM (HR: 0.83, 95% CI: 0.80, 0.85; I2=84.9%), CVM (HR: 0.84, 95% CI: 0.79, 0.89; I2=70.7%), HHF (HR: 0.94, 95% CI: 0.89, 0.98; I2=84.0%), and composite endpoints (ACM+HHF: HR: 0.89, 95% CI: 0.83, 0.95; I2=80.0%; CVM+HHF: HR: 0.85, 95% CI: 0.77, 0.93; I2=87.9%) compared to males. Subgroup analysis revealed that the lower risk of mortality observed in women was more pronounced among individuals with long-course HF (i.e., chronic HF, follow-up duration >2 years) or recruited in the randomized controlled trials. (P for interaction <0.05).

Conclusions: Female HF patients had a better prognosis compared to males, with lower risks of ACM, CVM, HHF, and composite endpoints. Despite the underrepresentation of female populations in HF clinical trials, their mortality benefits tended to be lower than in real-world settings.

Registration: PROSPERO: CRD42024526100.

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长期心力衰竭预后的性别差异:全面的 Meta 分析
目的:心力衰竭(HF)长期预后中的性别差异仍存在争议,而且缺乏对心力衰竭预后中性别差异的全面汇总。本研究旨在描述心力衰竭长期预后中的性别差异,并探讨这些差异是否因年龄、心力衰竭病程、左心室射血分数、地区、研究时期、研究设计和随访时间而有所不同:利用 Medline、Embase、Web of Science 和 Cochrane 图书馆对 1990 年 1 月 1 日至 2024 年 3 月 31 日期间的研究进行了系统回顾。主要研究结果为全因死亡率(ACM),次要研究结果包括心血管死亡率(CVM)、HF 住院率(HHF)、全因住院率、ACM 和 HHF 的综合指数以及 CVM 和 HHF 的综合指数。采用随机效应荟萃分析法计算了汇总的危险风险(HRs)及相应的 95% 置信区间(CIs)。94项研究(包括96个队列)被纳入荟萃分析,代表了706247名参与者(56.5%为男性,平均年龄为71.0岁)。女性 HF 患者发生 ACM(HR:0.83,95% CI:0.80,0.85;I2=84.9%)、CVM(HR:0.84,95% CI:0.79,0.89;I2=70.7%)、HHF(HR:0.94,95% CI:0.89,0.98;I2=84.0%)和复合终点(ACM+HHF:HR:0.89,95% CI:0.83,0.95;I2=80.0%;CVM+HHF:HR:0.85,95% CI:0.77,0.93;I2=87.9%)与男性相比。亚组分析显示,女性的死亡风险较低,这一点在长病程 HF(即慢性 HF,随访时间超过 2 年)或随机对照试验中招募的患者中更为明显。(P为交互作用结论:女性心房颤动患者的预后优于男性,发生 ACM、CVM、HHF 和综合终点的风险较低。尽管女性在高血压临床试验中的比例较低,但她们的死亡率收益往往低于真实世界的情况:PROCEMO:CRD42024526100。
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来源期刊
European journal of preventive cardiology
European journal of preventive cardiology CARDIAC & CARDIOVASCULAR SYSTEMS-
CiteScore
12.50
自引率
12.00%
发文量
601
审稿时长
3-8 weeks
期刊介绍: European Journal of Preventive Cardiology (EJPC) is an official journal of the European Society of Cardiology (ESC) and the European Association of Preventive Cardiology (EAPC). The journal covers a wide range of scientific, clinical, and public health disciplines related to cardiovascular disease prevention, risk factor management, cardiovascular rehabilitation, population science and public health, and exercise physiology. The categories covered by the journal include classical risk factors and treatment, lifestyle risk factors, non-modifiable cardiovascular risk factors, cardiovascular conditions, concomitant pathological conditions, sport cardiology, diagnostic tests, care settings, epidemiology, pharmacology and pharmacotherapy, machine learning, and artificial intelligence.
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