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Dataset Information

Hierarchical management of chronic heart failure: a perspective based on the latent structure of comorbidities.


ABSTRACT:

Aims

Chronic heart failure (CHF) has an increasing burden of comorbidities, which affect clinical outcomes. Few studies have focused on the clustering and hierarchical management of patients with CHF based on comorbidity. This study aimed to explore the cluster model of CHF patients based on comorbidities and to verify their relationship with clinical outcomes.

Methods and results

Electronic health records of patients hospitalized with CHF from January 2014 to April 2019 were collected, and 12 common comorbidities were included in the latent class analysis. The Fruchterman-Reingold layout was used to draw the comorbidity network, and analysis of variance was used to compare the weighted degrees among them. The incidence of clinical outcomes among different clusters was prese

SUBMITTER: Zheng C 

PROVIDER: S-EPMC8788137 | biostudies-literature | 2022 Feb

REPOSITORIES: biostudies-literature