Objective: 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.
Methods: 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.
Results: 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.
Conclusions: 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.
Trial registration number: UMIN000021831.
Keywords: heart failure with preserved ejection fraction.
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