Department of Cardiovascular Medicine, Osaka University Graduate School of Medicine, Osaka, Japan.
Department of Cardiovascular Medicine, Osaka University Graduate School of Medicine, Osaka, Japan
Heart. 2022 Sep 12;108(19):1553-1561. doi: 10.1136/heartjnl-2021-320270.
The pathophysiological heterogeneity of heart failure with preserved ejection fraction (HFpEF) makes the conventional 'one-size-fits-all' treatment approach difficult. We aimed to develop a stratification methodology to identify distinct subphenotypes of acute HFpEF using the latent class analysis.
We established a prospective, multicentre registry of acute decompensated HFpEF. Primary candidates for latent class analysis were patient data on hospital admission (160 features). The patient subset was categorised based on enrolment period into a derivation cohort (2016-2018; n=623) and a validation cohort (2019-2020; n=472). After excluding features with significant missingness and high degree of correlation, 83 features were finally included in the analysis.
The analysis subclassified patients (derivation cohort) into 4 groups: group 1 (n=215, 34.5%), characterised by arrythmia triggering (especially atrial fibrillation) and a lower comorbidity burden; group 2 (n=77, 12.4%), with substantially elevated blood pressure and worse classical HFpEF echocardiographic features; group 3 (n=149, 23.9%), with the highest level of GGT and total bilirubin and frequent previous hospitalisation for HF and group 4 (n=182, 29.2%), with infection-triggered HF hospitalisation, high C reactive protein and worse nutritional status. The primary end point-a composite of all-cause death and HF readmission-significantly differed between the groups (log-rank p<0.001). These findings were consistent in the validation cohort.
This study indicated the feasibility of clinical application of the latent class analysis in a highly heterogeneous cohort of patients with acute HFpEF. Patients can be divided into 4 phenotypes with distinct patient characteristics and clinical outcomes.
UMIN000021831.
射血分数保留的心力衰竭(HFpEF)的病理生理异质性使得传统的“一刀切”治疗方法变得困难。我们旨在使用潜在类别分析来开发一种分层方法,以确定急性 HFpEF 的不同亚表型。
我们建立了一个前瞻性、多中心的急性失代偿性 HFpEF 注册中心。潜在类别分析的主要候选者是入院时的患者数据(160 个特征)。根据入组时间,患者亚组分为一个推导队列(2016-2018 年;n=623)和一个验证队列(2019-2020 年;n=472)。在排除具有显著缺失和高度相关性的特征后,最终有 83 个特征纳入分析。
该分析将患者(推导队列)分为 4 组:第 1 组(n=215,34.5%),以心律失常触发(特别是心房颤动)和较低的合并症负担为特征;第 2 组(n=77,12.4%),血压显著升高,经典 HFpEF 超声心动图特征更差;第 3 组(n=149,23.9%),γ-谷氨酰转移酶和总胆红素水平最高,HF 住院次数频繁;第 4 组(n=182,29.2%),HF 住院由感染触发,C 反应蛋白高,营养状况差。主要终点——全因死亡和 HF 再入院的复合终点——在组间差异显著(对数秩检验 p<0.001)。这些发现在验证队列中也是一致的。
本研究表明,潜在类别分析在急性 HFpEF 高度异质性患者中具有临床应用的可行性。患者可分为 4 种表型,具有不同的患者特征和临床结局。
UMIN000021831。