McCarthy CP, Neumann JT, Michelhaugh SA, et al. - Researchers intended to develop as well as externally validate a hs‐cTn (high‐sensitivity cardiac troponin)–based proteomic model to detect obstructive coronary artery disease (CAD). They identified predictors of ≥70% coronary stenosis, using a derivation cohort including 636 patients referred for coronary angiography. Incorporating 3 clinical variables (male gender, age, and prior percutaneous coronary intervention) and 3 biomarkers (hs‐cTnI [high‐sensitivity cardiac troponin I], adiponectin, and kidney injury molecule‐1), a model was constructed. A sensitivity of 80%, specificity 71%, positive and negative predictive values of 83% and 66%, respectively, for ≥70% stenosis were afforded by the model at the optimal cutoff. The score showed similarly good performance in the external validation cohort. Overall, findings demonstrated high accuracy of a model including hs‐cTnI for predicting the presence of obstructive CAD including in those with indeterminate hs‐cTnI levels.