Development and validation of a simple model to predict functionally significant coronary artery disease in Chinese populations: A two-center retrospective study.

ABSTRACT:

Objectives

This study sought to derive and validate a simple model combining traditional clinical risk factors with biomarkers and imaging indicators easily obtained from routine preoperative examinations to predict functionally significant coronary artery disease (CAD) in Chinese populations.

Methods

We developed five models from a derivation cohort of 320 patients retrospective collected. In the derivation cohort, we assessed each model discrimination using the area under the receiver operating characteristic curve (AUC), reclassification using the integrated discrimination improvement (IDI) and net reclassification improvement (NRI), calibration using the Hosmer-Lemeshow test, and clinical benefit using decision curve analysis (DCA) to derive the optimal model. The optima

SUBMITTER: Shen WQ 

PROVIDER: S-EPMC10565692 | biostudies-literature | 2023 Oct

REPOSITORIES: biostudies-literature