Jang JJ, et al. - Researchers created two models to identify patients with high-risk coronary artery disease (CAD), defined as left main stenosis (≥50% stenosis) or either ≥50% stenosis [50] or ≥70% stenosis [70] of 3 vessels or 2-vessel CAD involving the proximal left anterior descending artery. For this purpose, they used the PROMISE (Prospective Multicenter Imaging Study for Evaluation of Chest Pain) cohort randomized to coronary computed tomographic angiography (n=4,589). Using stepwise logistic regression, retest predictors were examined and then assessed for discrimination and calibration. They found high-risk CAD in 6.6% [50] and 2.4% [70] of patients. A good discriminative ability was shown by the developed models. Family history of premature CAD, age, male sex, lower glomerular filtration rate, diabetes mellitus, elevated systolic blood pressure, and angina constituted the variables that were predictive of CAD in both models. Compared with the Pooled Cohort Equation and Diamond-Forrester risk scores, both models performed better. More frequent invasive interventions and adverse events were reported in relation to both [50] and [70] CAD vs non-high-risk CAD.