Prediction of worsening heart failure in hypertrophic cardiomyopathy using plasma proteomics.

ABSTRACT:

Objective

Heart failure (HF) is one of the most common and lifestyle-limiting complications of hypertrophic cardiomyopathy (HCM). Prediction of worsening HF using clinical measures alone remains limited. Moreover, the mechanisms by which patients with HCM develop worsening HF have not been elucidated. Therefore, the aim of this study was to develop a plasma proteomics-based model to predict worsening HF among patients with HCM and to identify signalling pathways that are differentially regulated in those who subsequently develop worsening HF.

Methods

In this multi-centre, prospective cohort study of 389 patients with HCM, plasma proteomics profiling of 4986 proteins was performed at enrolment. A proteomics-based random forest model was developed to predict worsening HF using

SUBMITTER: Lumish HS 

PROVIDER: S-EPMC10843738 | biostudies-literature | 2023 Nov

REPOSITORIES: biostudies-literature