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Fig. 5 | Cardiovascular Diabetology

Fig. 5

From: Global trans-lesional computed tomography-derived fractional flow reserve gradient is associated with clinical outcomes in diabetic patients with non-obstructive coronary artery disease

Fig. 5

Comparison of discriminant ability of predictive models. To determine incremental discriminatory capacities of Global ΔCT-FFR in addition to clinical variables and atherosclerotic burden as predictor of MACE in diabetic patients with CT-FFR < 0.75, 3 analytic models were constructed as follows: model 1: Framingham risk score; model 2: model 1 + Leiden score; model 3: model 2 + HRP;model4: model3 + Global ΔCT-FFR. ROC receiver-operating characteristic, MACE major adverse cardiovascular events, NRI net reclassification improvement, HRP high risk plaque, GΔCT-FFR Global ΔCT-FFR (the sum of the trans-lesional CT-FFR gradient in all epicardial vessels)

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