ACCEL Lite: From JACC: CACS Improves Risk Prediction in Patients with Suspected Obstructive CAD

Clinicians need more tools to reduce the number of unnecessary tests. Clinical likelihood models represent such tools, and this study demonstrated favorable prognosis for patients who were deferred for testing using the risk factor-weighted clinical likelihood model and the coronary artery calcium score-weighted clinical likelihood model.  In this interview, Simon Winther MD, PhD and Laxmi Mehta MD, FACC discuss JACC piece: CACS Improves Risk Prediction in Patients with Suspected Obstructive CAD.  Subscribe on Apple Podcasts | Subscribe on Google Play | Subscribe to ACCEL