The prognostic predictive value of the components of the PR interval in hospitalized patients with heart failure.

ABSTRACT:

Objective

Previous reports on the epidemiology, influencing factors, and the prognostic value of the components of PR interval in hospitalized heart failure patients were limited.

Methods

This study retrospectively enrolled 1182 patients hospitalized with heart failure from 2014 to 2017. Multiple linear regression analysis was used to explore the association between the components of PR interval and the baseline parameters. The primary outcome was all-cause death or heart transplantation. Multivariable-adjusted Cox proportional hazard regression models were constructed to explore the predictive value of the components of PR interval for the primary outcome.

Results

In multiple linear regression analysis, higher height (for every 10 cm increase in height: regression co

SUBMITTER: Yu YW 

PROVIDER: S-EPMC9996982 | biostudies-literature | 2023 Mar

REPOSITORIES: biostudies-literature