Developing and validating risk predicting models to assess venous thromboembolism risk after radical cystectomy.

ABSTRACT:

Background

Radical cystectomy (RC) patients are at significant risk for venous thromboembolism (VTE). Current predictive models, such as the Caprini risk assessment (CRA) model, have limitations. This research aimed to create a novel predictive model for forecasting the risk of VTE after RC.

Methods

This single-center study involved RC patients treated between January 1, 2010 and December 31, 2019. The individuals were divided into training and testing groups in a random manner. Multivariate and stepwise logistic regression were utilized to create two novel models. The models' performance was compared to the commonly used CRA model, employing metrics including net reclassification improvement (NRI), integrated discrimination improvement (IDI), and receiver operating characte

SUBMITTER: Lai CH 

PROVIDER: S-EPMC11491220 | biostudies-literature | 2024 Sep

REPOSITORIES: biostudies-literature