Coronary disease & ACSDiagnostic or prognostic study
Clinical Likelihood Prediction of Hemodynamically Obstructive Coronary Artery Disease in Patients With Stable Chest Pain
- Diagnostic accuracy study
Authors' conclusion
The RF-CL and CACS-CL models are well calibrated and superior to a currently recommended basic PTP model to predict hemodynamically obstructive CAD.
Study context
- Population
- Stable de novo chest pain patients undergoing coronary CT angiography and invasive coronary angiography with fractional flow reserve (FFR)447 (10.9%) with obstructive coronary artery disease (CAD)
- Participants
- 4,371 patients
- Comparison
- RF-CL and CACS-CL models vs basic PTP model
- Outcome
- Hemodynamically obstructive CAD (invasive FFR ≤0.80 or >90% diameter stenosis)
Performance
As reported in the abstract
Very low clinical likelihood (≤5%) of obstructive CAD
P < 0.001
- Preserved low prevalence of hemodynamically obstructive CAD in very-low-likelihood patients
- <5% for all models
Original publication
Clinical Likelihood Prediction of Hemodynamically Obstructive Coronary Artery Disease in Patients With Stable Chest Pain. JACC Cardiovasc Imaging. Published 3 July 2024. doi:10.1016/j.jcmg.2024.04.015
Summarised from the published abstract; every number is checked against it