Predicting Thromboembolism in Hospitalized Patients with Ventricular Thrombus.

ABSTRACT:

Background

Thromboembolism is associated with mortality and morbidity in patients with ventricular thrombus. Early detection of thromboembolism is critical. This study aimed to identify potential predictors of patient characteristics and develop a prediction model that predicted the risk of thromboembolism in hospitalized patients with ventricular thrombus.

Methods

We performed a retrospective cohort study from the National Center of Cardiovascular Diseases of China between November 2019 and December 2021. Hospitalized patients with an initial diagnosis of ventricular thrombus were included. The primary outcome was the rate of thromboembolism during the hospitalization. The Lasso regression algorithm was performed to select independent predictors and the multivariate logisti

SUBMITTER: Yang Q 

PROVIDER: S-EPMC11270478 | biostudies-literature | 2022 Dec

REPOSITORIES: biostudies-literature