Cardiovascular Diabetology · 2023 · 11 citations · 29 references
MedicineCardiologyClinical SciencesBiomedical ImagingClinical CardiologyDiagnostic ImagingCardiac AssessmentCardiac Risk AssessmentCardiovascular AssessmentCardiovascular ImagingCoronary AngiographyCoronary Artery DiseaseComputed Tomography AngiographyComputed Tomography Coronary AngiographyComputed Tomography Fractional Flow ReserveCoronary Flow AssessmentCoronary Flow Reserve AssessmentCoronary Physiologic AssessmentFractional Flow Reserve ImagingNonobstructive Coronary Artery Disease
BACKGROUND: Coronary computed tomography angiography (CCTA)-derived fractional flow reserve (CT-FFR) enables physiological assessment and risk stratification, which is of significance in diabetic patients with nonobstructive coronary artery disease (CAD). We aim to evaluate prognostic value of the global trans-lesional CT-FFR gradient (GΔCT-FFR), a novel metric, in patients with diabetes without flow-limiting stenosis. METHODS: Patients with diabetes suspected of having CAD were prospectively enrolled. GΔCT-FFR was calculated as the sum of trans-lesional CT-FFR gradient in all epicardial vessels greater than 2 mm. Patients were stratified into low-gradient without flow-limiting group (CT-FFR > 0.75 and GΔCT-FFR < 0.20), high-gradient without flow-limiting group (CT-FFR > 0.75 and GΔCT-FFR ≥ 0.20), and flow-limiting group (CT-FFR ≤ 0.75). Discriminant ability for major adverse cardiovascular events (MACE) prediction was compared among 4 models [model 1: Framingham risk score; model 2: model 1 + Leiden score; model 3: model 2 + high-risk plaques (HRP); model 4: model 3 + GΔCT-FFR] to determine incremental prognostic value of GΔCT-FFR. RESULTS: Of 1215 patients (60.1 ± 10.3 years, 53.7% male), 11.3% suffered from MACE after a median follow-up of 57.3 months. GΔCT-FFR (HR: 2.88, 95% CI 1.76-4.70, P < 0.001) remained independent risk factors of MACE in multivariable analysis. Compared with the low-gradient without flow-limiting group, the high-gradient without flow-limiting group (HR: 2.86, 95% CI 1.75-4.68, P < 0.001) was associated with higher risk of MACE. Among the 4 risk models, model 4, which included GΔCT-FFR, showed the highest C-statistics (C-statistics: 0.75, P = 0.002) as well as a significant net reclassification improvement (NRI) beyond model 3 (NRI: 0.605, P < 0.001). CONCLUSIONS: In diabetic patients with non-obstructive CAD, GΔCT-FFR was associated with clinical outcomes at 5 year follow-up, which illuminates a novel and feasible approach to improved risk stratification for a global hemodynamic assessment of coronary artery in diabetic patients.
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2018 ESC/ESH Guidelines for the management of arterial hypertension
Bryan Williams, Giuseppe Mancia, Wilko Spiering et al. · European Heart Journal · 2018 · 10.4K citations · Full text
Diagnostic Accuracy of Fractional Flow Reserve From Anatomic CT Angiography
James K. Min, Jonathon Leipsic, Michael Pencina et al. · JAMA · 2012 · 1.2K citations
Medicine, Cardiology, Radiology +17