Faculty of Medicine, Ain Shams University, Cairo, Egypt.
Houston Methodist DeBakey Heart & Vascular Center, Houston, Texas.
JAMA Netw Open. 2024 Nov 4;7(11):e2446684. doi: 10.1001/jamanetworkopen.2024.46684.
Heart failure (HF) hospitalization is a common end point in HF trials; however, how HF hospitalization is associated with all-cause hospitalization in terms of proportionality, correlation of treatment effects, and concomitant reporting has not been studied.
To determine the ratio of HF to all-cause hospitalizations, whether reported treatment effects on HF hospitalization are associated with treatment effects on all-cause hospitalization, and how often all-cause hospitalization is reported alongside HF hospitalization.
PubMed was searched from inception to September 2, 2024, for randomized clinical trials (RCTs) of HF treatments using MeSH (medical subject heading) terms and keywords associated with heart failure, ventricular failure, ventricular dysfunction, and cardiac failure, as well as the names of specific journals.
RCTs of HF treatments and reporting on HF hospitalization published in 1 of 3 leading medical journals (New England Journal of Medicine, The Lancet, or JAMA).
The PRISMA guidelines were followed. Data extraction was performed by 2 reviewers, and disagreements were resolved by consensus. Trial baseline characteristics and outcome data on HF and all-cause hospitalizations were extracted. The ratio of HF to all-cause hospitalizations was calculated. The association of HF hospitalization effects with all-cause hospitalization effects was evaluated using hierarchical bayesian models with weak priors. The posterior distribution was used to calculate the HF hospitalization treatment effects that would need to be observed before a high probability (97.5%) of a reduction in all-cause hospitalization could be achieved. The proportion of trials reporting all-cause hospitalization was calculated.
HF and all-cause hospitalizations.
Of 113 trials enrolling 261 068 patients (median proportion of female participants, 25.4% [IQR, 21.3%-34.2%]; median age, 66.2 [IQR, 62.8-70.0] years), 60 (53.1%) reported on all-cause hospitalization. The weighted median ratio of HF to all-cause hospitalizations was 45.9% (IQR, 30.7%-51.7%). This ratio was higher in trials with greater proportions of New York Heart Association class III or IV HF, with lower left ventricular ejection fractions, investigating nonpharmaceutical interventions, and that restricted recruitment to patients with HF and reduced ejection fraction. Reported effects on HF and all-cause hospitalizations were well-correlated (R2 = 90.1%; 95% credible interval, 62.3%-99.8%). In a large trial, the intervention would have to decrease the odds of HF hospitalization by 16% to ensure any reduction, 36% to ensure a 10% reduction, and 56% to ensure a 20% reduction in the odds of all-cause hospitalization with 97.5% probability.
In this meta-analysis of HF trials, all-cause hospitalization was underreported despite a large burden of non-HF hospitalizations. Large reductions in HF hospitalization must be observed before clinically relevant reductions in all-cause hospitalization can be inferred.
心力衰竭(HF)住院是 HF 试验中的常见终点;然而,HF 住院与全因住院在比例、治疗效果相关性以及伴随报告方面的关系尚未得到研究。
确定 HF 与全因住院的比例,报告的 HF 住院治疗效果是否与全因住院治疗效果相关,以及全因住院报告的频率。
从开始到 2024 年 9 月 2 日,通过使用与心力衰竭、心室衰竭、心室功能障碍和心力衰竭相关的 MeSH(医学主题标题)术语和关键字,以及特定期刊的名称,在 PubMed 上搜索 HF 治疗的随机临床试验(RCT)。
在三个主要医学期刊(新英格兰医学杂志、柳叶刀或 JAMA)之一上发表的 HF 治疗 RCT 并报告 HF 住院情况。
遵循 PRISMA 指南。由 2 名评审员进行数据提取,意见分歧通过共识解决。提取了 HF 和全因住院的试验基线特征和结局数据。计算了 HF 与全因住院的比例。使用具有弱先验的分层贝叶斯模型评估 HF 住院治疗效果与全因住院治疗效果的相关性。使用后验分布计算在全因住院治疗效果降低的可能性达到 97.5%之前需要观察到的 HF 住院治疗效果。计算了报告全因住院的试验比例。
HF 和全因住院。
在纳入 261068 名患者的 113 项试验中(女性参与者中位数比例,25.4%[IQR,21.3%-34.2%];中位数年龄,66.2[IQR,62.8-70.0]岁),有 60 项(53.1%)报告了全因住院情况。HF 与全因住院的加权中位数比例为 45.9%(IQR,30.7%-51.7%)。在具有更高比例纽约心脏协会(NYHA)III 或 IV 级 HF、较低的左心室射血分数、进行非药物干预以及限制招募具有 HF 和射血分数降低的患者的试验中,该比例更高。报告的 HF 和全因住院治疗效果相关性良好(R2=90.1%;95%可信区间,62.3%-99.8%)。在一项大型试验中,干预措施必须将 HF 住院的几率降低 16%,才能确保任何降低,降低 36%才能确保降低 10%,降低 56%才能确保降低 20%的全因住院几率,并且 97.5%的概率。
在这项 HF 试验的荟萃分析中,尽管非 HF 住院的负担很大,但全因住院的报告仍然不足。在可以推断出全因住院的临床相关减少之前,必须观察到 HF 住院的大幅减少。