A LASSO-derived developing and validating risk model for chronic total occlusion in Asian population before coronary angiography

ABSTRACT:

Background

Despite several previous studies that have explored the predictors of high morbidity in coronary artery disease (CAD) and developed nomograms for CAD patients prior to coronary angiography (CAG), there is a lack of models available to predict chronic total occlusion (CTO). The aim of this study is to develop a risk model and a nomogram for predicting the probability of CTO prior to CAG.

Methods

The study included 1,105 patients with CAG-diagnosed CTO in the derivation cohort and 368 patients in the validation cohort. Clinical demographics, echocardiography results, and laboratory indexes were analyzed using statistical difference tests. Independent risk factors affecting the CTO indication were selected using least absolute shrinkage and selection operator (LAS

SUBMITTER: Shi Y 

PROVIDER: S-EPMC10315427 | biostudies-literature | 2023 May

REPOSITORIES: biostudies-literature