Abstract 

Objective

This study aimed to compare the prognostic performance of Coronary Artery Disease (CAD)-Reporting and Data System (CAD-RADS) score with those of clinical risk factors and the extent of CAD classification for predicting major adverse cardiac events in emergency department patients.

Methods

A total of 779 patients with acute chest pain at low to intermediate risk for CAD underwent cardiac computed tomography angiography. The primary end point was early and late major adverse cardiac events. We developed the following models: model 1, clinical risk factors; model 2, clinical risk factors and CAD-RADS scores; model 3, clinical risk factors and extent of CAD.

Results

The C-statistics revealed that both CAD-RADS score and CAD extent improved risk stratification over the clinical risk factors (C-index for early events: C-index: 0.901 vs 0.814 and 0.911 vs 0.814; C-index for late events: 0.897 vs 0.808 and 0.905 vs 0.808; all P < 0.05).

Conclusions

The CAD-RADS score had additional risk prediction benefits over clinical risk factors for emergency department patients.

Journal: Journal of Computer Assisted Tomography

Author

Jiwoo Park, Jin Hur, Kyunghwa Han, Dong Jin Im, Kye Ho Lee, Young Joo Suh, Yoo Jin Hong, Hye-Jeong Lee, Young Jin Kim, Byoung Wook Choi

DOI: 10.1097/RCT.0000000000001153