Academic Editors: Zhonghua Sun and Yung-Liang Wan
Background: The identification of high-risk coronary artery disease
(HRCAD) is important in diabetes mellitus (DM) patients. However, the reliability
of current models to predict HRCAD has not been fully investigated. Thus, we
aimed to validate and compare CONFIRM and PROMISE high-risk model (CHM and PHM)
in DM patients. Methods: 5936 symptomatic DM patients who underwent
coronary computed tomographic angiography (CCTA) were identified. Probability of
HRCAD for each patient was estimated based on CHM and PHM, respectively. We used
Area under the receiver operating characteristic curve (AUC), integrated
discrimination improvement (IDI), net reclassification improvement (NRI) and
Hosmer-Lemeshow (H-L) test to evaluate model’s predictive accuracy.
Results: Overall, 470 (8%) patients had HRCAD on CCTA. There was no
difference between the AUC for CHM and PHM (0.744 v.s. 0.721, p =
0.0873). Compared to CHM, PHM demonstrated a positive IDI (3.08%, p