Prediction model to estimate presence of coronary artery disease: retrospective pooled analysis of existing cohorts

Abstract

Updated prediction models including age, sex, symptoms, and cardiovascular risk factors allow for accurate estimation of the pretest probability of coronary artery disease in low prevalence populations. Addition of coronary calcium scores to the prediction models improves the estimates.