A nomogram to predict ventricular thrombus in dilated cardiomyopathy patients.

ABSTRACT:

Background

VT (Ventricular Thrombus) is a serious complication of dilated cardiomyopathy (DCM). Our goal is to develop a nomogram for personalized prediction of incident VT in DCM patients.

Methods

1267 patients (52.87 ± 11.75 years old, 73.8% male) were analyzed retrospectively from January 01, 2015, to December 31, 2020. A nomogram model for VT risk assessment was established using minimum absolute contraction and selection operator (LASSO) and multivariate logistic regression analysis, and its effectiveness was validated by internal guidance. The model was evaluated by the area under the receiver operating characteristic curve (AUC), calibration curves, and decision curve analysis (DCA). We compared the performance in predicting VT between nomogram and CHA2DS2, CHA2DS2- V

SUBMITTER: Li XL 

PROVIDER: S-EPMC10830674 | biostudies-literature | 2024 Jan

REPOSITORIES: biostudies-literature