Abstract
Background: No cardiac load index (CLI) has been established for patients with coronary artery disease (CAD). We propose a simple method for calculating CLI and explore the association of CLI with CAD.Methods: We enrolled 4145 consecutive inpatients with suspected stable CAD from December 2011 to June 2017 at the Chengde Medical University Affiliated Hospital. All patients were divided into the CAD (n=2914) and the NCAD groups (n=1231) according to coronary computed tomography angiography. We retrospectively collected data and calculated the CLI values of all patients. The receiver operating characteristic diagnostic test analysis was performed with CLI≥77, CLI≥125, CLI≥171, CLI≥217, and CLI≥264, respectively. Multivariate logistic regression models were established to determine the risk factors of CAD. Results: The CLI was significantly higher in the CAD group than in the NCAD group and higher in the male than in the female subgroup (both P<0.001). CLI≥171 was the diagnostic cut-off value. The predictive power of CLI≥171 for CAD improved after considering other risk factors. CLI≥171 is a new independent risk factor for CAD, and is an independent risk factor for CAD in males and females (all P<0.001).Conclusions: Increased CLI is an independent risk factor for CAD, it may be used as a predictor for the prevalence for CAD to improve diagnosis and prevention.