BackgroundEarly detection of cardiac allograft vasculopathy after heart transplant (HTx) with invasive coronary angiography is challenging.AimsThe study aimed to determine if computational techniques able to assess epicardial lesions, by means of Murray's law‐based quantitative flow ratio (μFR), and microvascular physiology, by means of angiography microvascular resistance (AMR), enhance risk stratification in HTx patients with nonsignificant coronary artery disease.MethodsThe cohort consisted of 86 consecutive HTx patients (200 epicardial vessels) with stenosis < 50% at baseline. μFR ≤ 0.80 indicated coronary ischemia, while AMR ≥ 2.5 suggested microvascular dysfunction. Clinical events were assessed over a median follow‐up of 43 months, focusing on the relationship between μFR and target vessel failure (TVF), and between AMR and heart failure (HF) hospitalizations.ResultsAt baseline, mean μFR was 0.94 ± 0.08, with eight vessels (4.0%) disclosing flow‐limiting lesions, while AMR was 2.4 ± 0.7, with 80 vessels/40 patients (40.0%/46.5%) having microvascular dysfunction. TVF‐related segments were associated with lower mean μFR values (0.89 ± 0.14 vs. 0.95 ± 0.05; p < 0.007) compared TVF‐free segments. At the receiver operating characteristic curve a μFR ≤ 0.93 demonstrated an area under the curve of 0.632 (95% CI: 0.562–0.699) in predicting TVF occurrence, showing an accuracy of 76.0%, a sensitivity of 46.9%, a specificity of 81.6%, a negative predictive value of 89.0%, and a positive predictive value of 32.6%. μFR ≤ 0.93 showed a significant interaction with TVF occurrence at 43 months (32.6% vs. 11.0%; HR: 2.96; 95% CI: 1.26–6.96; p = 0.013). Microvascular dysfunction showed a significant interaction with HF hospitalizations occurence (AMR: 2.8 ± 4.4 vs. 2.4 ± 4.5; p = 0.001; CMD: 27.5% vs. 4.3%; HR: 7.36; 95% CI: 2.45–22.07; p = 0.002).ConclusionsAngiography‐derived epicardial and microvascular physiology computation may improve risk stratification of heart transplanted patients.