Analysis of clinical risk models vs. clinician’s assessment for prediction of coronary artery disease among predominantly female population

Introduction

Multiple risk models are used to predict the presence of obstructive coronary artery disease (CAD) in patients with chest pain. We aimed to compare the performance of these models to an experienced cardiologist’s assessment utilizing coronary angiography (CA) as a reference.

Materials and methods

We prospectively enrolled patients without known CAD referred for elective CA. We assessed pretest probability of CAD using the following risk models: Diamond–Forrester (original and updated), Duke Clinical score, ACC/AHA, CAD consortium (basic and clinical) and PROMISE minimal risk tool. All patients completed self-administrative Rose angina questionnaire. Independently, an experienced cardiologist assessed the patients to provide a binary prediction of obstructive CAD prior to CA. Obstructive CAD was defined as>80% stenosis in epicardial coronary arteries by visual assessment, or fractional flow reserve

Source: Coronary Artery Disease - April 8, 2022 Category: Cardiology Tags: Original Research in CAD Source Type: research