SGLT2 inhibitors in patients with heart failure with reduced ejection fraction: a meta-analysis of the EMPEROR-Reduced and DAPA-HF trials

心力衰竭 医学 皇帝 射血分数 内科学 分数(化学) 心脏病学 荟萃分析 化学 色谱法 历史 古代史
作者
Faı̈ez Zannad,João Pedro Ferreira,Stuart Pocock,Stefan D. Anker,Javed Butler,Gerasimos Filippatos,Martina Brueckmann,Anne Pernille Ofstad,Egon Pfarr,Waheed Jamal,Milton Packer
出处
期刊:The Lancet [Elsevier]
卷期号:396 (10254): 819-829 被引量:1186
标识
DOI:10.1016/s0140-6736(20)31824-9
摘要

Background Both DAPA-HF (assessing dapagliflozin) and EMPEROR-Reduced (assessing empagliflozin) trials showed that sodium-glucose co-transporter-2 (SGLT2) inhibition reduced the combined risk of cardiovascular death or hospitalisation for heart failure in patients with heart failure with reduced ejection fraction (HFrEF) with or without diabetes. However, neither trial was powered to assess effects on cardiovascular death or all-cause death or to characterise effects in clinically important subgroups. Using study-level published data from DAPA-HF and patient-level data from EMPEROR-Reduced, we aimed to estimate the effect of SGLT2 inhibition on fatal and non-fatal heart failure events and renal outcomes in all randomly assigned patients with HFrEF and in relevant subgroups from DAPA-HF and EMPEROR-Reduced trials. Methods We did a prespecified meta-analysis of the two single large-scale trials assessing the effects of SGLT2 inhibitors on cardiovascular outcomes in patients with HFrEF with or without diabetes: DAPA-HF (assessing dapagliflozin) and EMPEROR-Reduced (assessing empagliflozin). The primary endpoint was time to all-cause death. Additionally, we assessed the effects of treatment in prespecified subgroups on the combined risk of cardiovascular death or hospitalisation for heart failure. These subgroups were based on type 2 diabetes status, age, sex, angiotensin receptor neprilysin inhibitor (ARNI) treatment, New York Heart Association (NYHA) functional class, race, history of hospitalisation for heart failure, estimated glomerular filtration rate (eGFR), body-mass index, and region (post-hoc). We used hazard ratios (HRs) derived from Cox proportional hazard models for time-to-first event endpoints and Cochran's Q test for treatment interactions; the analysis of recurrent events was based on rate ratios derived from the Lin-Wei-Yang-Ying model. Findings Among 8474 patients combined from both trials, the estimated treatment effect was a 13% reduction in all-cause death (pooled HR 0·87, 95% CI 0·77–0·98; p=0·018) and 14% reduction in cardiovascular death (0·86, 0·76–0·98; p=0·027). SGLT2 inhibition was accompanied by a 26% relative reduction in the combined risk of cardiovascular death or first hospitalisation for heart failure (0·74, 0·68–0·82; p<0·0001), and by a 25% decrease in the composite of recurrent hospitalisations for heart failure or cardiovascular death (0·75, 0·68–0·84; p<0·0001). The risk of the composite renal endpoint was also reduced (0·62, 0·43–0·90; p=0·013). All tests for heterogeneity of effect size between trials were not significant. The pooled treatment effects showed consistent benefits for subgroups based on age, sex, diabetes, treatment with an ARNI and baseline eGFR, but suggested treatment-by-subgroup interactions for subgroups based on NYHA functional class and race. Interpretation The effects of empagliflozin and dapagliflozin on hospitalisations for heart failure were consistent in the two independent trials and suggest that these agents also improve renal outcomes and reduce all-cause and cardiovascular death in patients with HFrEF. Funding Boehringer Ingelheim.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
ruixuekuangben完成签到,获得积分0
刚刚
马迦南发布了新的文献求助10
刚刚
隐形的捕发布了新的文献求助50
1秒前
1秒前
你好夏天完成签到 ,获得积分10
1秒前
lxg完成签到,获得积分10
2秒前
张朝欣完成签到,获得积分10
3秒前
152522发布了新的文献求助10
5秒前
煜祺完成签到,获得积分10
5秒前
在水一方应助丘奇采纳,获得10
6秒前
烧烤发布了新的文献求助10
6秒前
clcl发布了新的文献求助10
6秒前
油炸丸子发布了新的文献求助10
6秒前
桐桐应助优美寒荷采纳,获得10
7秒前
大模型应助阿尔宙斯采纳,获得10
7秒前
9秒前
我不看月亮完成签到,获得积分20
9秒前
共享精神应助糟糕的绮露采纳,获得10
9秒前
一心完成签到,获得积分10
11秒前
fmh完成签到,获得积分10
11秒前
12秒前
HuangJunfei完成签到 ,获得积分10
12秒前
慕青应助我马上到采纳,获得10
13秒前
丘比特应助科研通管家采纳,获得10
13秒前
xzn1123应助科研通管家采纳,获得10
13秒前
研友_VZG7GZ应助油炸丸子采纳,获得10
13秒前
香蕉觅云应助科研通管家采纳,获得10
13秒前
科研通AI6应助科研通管家采纳,获得10
13秒前
科研通AI6应助科研通管家采纳,获得10
13秒前
SciGPT应助科研通管家采纳,获得10
13秒前
田様应助科研通管家采纳,获得10
13秒前
浮游应助科研通管家采纳,获得10
13秒前
14秒前
上官若男应助科研通管家采纳,获得10
14秒前
xzn1123应助科研通管家采纳,获得10
14秒前
wxyshare应助科研通管家采纳,获得10
14秒前
领导范儿应助科研通管家采纳,获得10
14秒前
英俊的铭应助科研通管家采纳,获得10
14秒前
共享精神应助科研通管家采纳,获得10
14秒前
科研通AI6应助科研通管家采纳,获得10
14秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Bandwidth Choice for Bias Estimators in Dynamic Nonlinear Panel Models 2000
HIGH DYNAMIC RANGE CMOS IMAGE SENSORS FOR LOW LIGHT APPLICATIONS 1500
茶艺师试题库(初级、中级、高级、技师、高级技师) 1000
Constitutional and Administrative Law 1000
The Social Work Ethics Casebook: Cases and Commentary (revised 2nd ed.). Frederic G. Reamer 800
Vertebrate Palaeontology, 5th Edition 570
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 物理化学 基因 遗传学 催化作用 冶金 量子力学 光电子学
热门帖子
关注 科研通微信公众号,转发送积分 5360485
求助须知:如何正确求助?哪些是违规求助? 4491088
关于积分的说明 13981391
捐赠科研通 4393724
什么是DOI,文献DOI怎么找? 2413597
邀请新用户注册赠送积分活动 1406430
关于科研通互助平台的介绍 1380915