RESUMEN
BACKGROUND: Gupta Perioperative Risk for Myocardial Infarction or Cardiac Arrest (MICA) is a validated self-explanatory score applied in cardiac or noncardiac surgeries. This study aims to assess the predictive value of the MICA score for cardiovascular events after aortoiliac revascularization. METHODS: This prospective cohort underwent elective aortoiliac revascularization between 2013 and 2021. Patients' demographic, clinical characteristics, and outcomes were registered. The patients were divided into 2 groups according to the MICA score using optimal binning. Survival analysis to test for time-dependent variables and multivariate Cox regression analysis for independent predictors were performed. RESULTS: This study included 130 patients with a median follow-up of 55 months. Preoperative MICA score was ≥6.5 in 41 patients. MICA ≥6.5 presented a statistically significant association, with long-term occurrence of acute heart failure (HR = 1.695, 95% CI 1.208-2.379, P = 0.002), major adverse cardiovascular events (HR = 1.222, 95% CI 1.086-1.376, P < 0.001), and all-cause mortality (HR = 1.256, 95% CI 1.107-1.425, P < 0.001). Multivariable Cox regression confirmed MICA as a significant independent predictor of long-term major adverse cardiovascular events (aHR = 1.145 95% CI 1.010-1.298, P = 0.034) and all-cause mortality (aHR = 1.172 95% CI 1.026-1.339, P = 0.020). CONCLUSIONS: The MICA score is a quick, easy-to-obtain, predictive tool in identifying patients with a higher risk of postaortoiliac revascularization cardiovascular events, such as acute heart failure, major adverse cardiovascular events, and all-cause mortality. Additional research for the validation of the MICA score in the context of aortoiliac revascularization and specific interventions is necessary.