Clinical Value of Computational Angiography-derived Fractional Flow Reserve in Stable Coronary Artery Disease.
Calvin Ka-Lam LeungLok-Yee LamKwan-Yu LiYundi FengGaozhen CaoMin WuRun WangMei-Zhen WuQing-Wen RenSi-Yeung YuYi-Kei TseHang-Long LiShuk-Yin YuHung-Fat TseBo XuKai-Hang YiuPublished in: Journal of cardiovascular translational research (2023)
The utilization of FFR remains low. Our study evaluated the per-vessel prognostic value of computational pressure-flow dynamics-derived FFR (caFFR) among patients with stable coronary artery disease. A total of 3329 vessels from 1308 patients were included and analysed. They were stratified into ischaemic (caFFR ≤ 0.8) and non-ischaemic (caFFR > 0.8) cohorts, and the associations between PCI and outcomes were evaluated. The third cohort comprised all included vessels, and the associations between treatment adherent-to-caFFR (PCI in vessels with caFFR ≤ 0.8 and no PCI in vessels with caFFR > 0.8) and outcomes were evaluated. The primary outcome was VOCE, defined as a composite of vessel-related cardiovascular mortality, non-fatal myocardial infarction, and repeat revascularization. PCI was associated with a lower 3-year risk of VOCE in the ischaemic cohort (HR, 0.44; 95% CI, 0.26-0.74; P = 0.002) but not in the non-ischaemic cohort. The risk of VOCE was lower in the adherent-to-caFFR group (n = 2649) (HR, 0.69; 95% CI, 0.48-0.98; P = 0.039). A novel index that uses coronary angiography images to estimate FFR may have substantial clinical value in guiding management among patients with stable coronary artery disease.
Keyphrases
- coronary artery disease
- percutaneous coronary intervention
- cardiovascular events
- coronary artery bypass grafting
- st segment elevation myocardial infarction
- acute myocardial infarction
- st elevation myocardial infarction
- antiplatelet therapy
- end stage renal disease
- optical coherence tomography
- acute coronary syndrome
- ejection fraction
- chronic kidney disease
- aortic stenosis
- heart failure
- deep learning
- coronary artery bypass
- prognostic factors
- computed tomography
- convolutional neural network
- left ventricular
- machine learning
- atrial fibrillation
- cardiovascular disease
- peritoneal dialysis
- risk factors
- metabolic syndrome
- glycemic control
- aortic valve