Interpreting the GRACE 3.0 ITE model: from predictive performance to clinical decision utility

Interpreting the GRACE 3.0 ITE model: from predictive performance to clinical decision utility I commend Florian A Wenzl and colleagues for extending the use of the Global Registry of Acute Coronary Events (GRACE) 3.0 scoring system across data from ten countries in their Article published in The Lancet Digital Health. 1 Their study showed excellent discrimination on external validation for in-hospital mortality (area under the receiver operating characteristic curve AUC 090, 95% CI 089-091) and for 1-year mortality (time-dependent AUC 084, 95% CI 082-086), and good calibration for both models (in-hospital: slope 106, 95% CI 090-122; calibration-in-the-large -015, 95% CI -086 to 057; 1-year: slope 109, 95% CI 099-119; calibration-in-the-large -034, 95% CI -074 to 006).The introduction of an individualised treatment effect (ITE) model for early invasive management represents a timely step towards precision decision-making in acute coronary-syndrome care.I would like to highlight three aspects that could further strengthen the interpretability and clinical applicability of this framework.