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ABSTRACT: Objective
This study aimed to establish a model embraced electromechanical coupling time (EMC-T) and assess the value of the model for the prediction of heart failure (HF) in patients with hypertrophic cardiomyopathy (HCM).Materials and methods
Data on 82 patients with HCM at Shaanxi Provincial People's Hospital between February 2019 and November 2021 were collected and then formed the training dataset (n = 82). Data were used to screen predictors of HF using univariate and multivariate analyses. Predictors were implemented to discover the optimal cut-off value, were incorporated into a model, and shown as a nomogram. The cumulative HF curve was calculated using the Kaplan-Meier method. Additionally, patients with HCM at other hospitals collected from March 2019 to M
SUBMITTER: Hu S
PROVIDER: S-EPMC9254680 | biostudies-literature | 2022
REPOSITORIES: biostudies-literature