Analysis of clinical risk models vs. clinician’s assessment for prediction of coronary artery disease among predominantly female population
| Autor: | Pavan Patel, Natalia Crenesse-Cozien, Alexander Ivanov, Ruby Havistin, Terrence J. Sacchi, Jean Ho, Sorin J. Brener, John F. Heitner, Saadat A. Khan |
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| Rok vydání: | 2021 |
| Předmět: |
Male
medicine.medical_specialty Computed Tomography Angiography Coronary Artery Disease Fractional flow reserve Coronary Angiography Chest pain Risk Assessment Angina Coronary artery disease Predictive Value of Tests Risk Factors Internal medicine medicine Humans business.industry Area under the curve General Medicine Middle Aged medicine.disease Fractional Flow Reserve Myocardial Coronary arteries Pre- and post-test probability Stenosis medicine.anatomical_structure Cardiology Female medicine.symptom Cardiology and Cardiovascular Medicine business |
| Zdroj: | Coronary Artery Disease. 33:182-188 |
| ISSN: | 0954-6928 |
| Popis: | 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 |
| Databáze: | OpenAIRE |
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