Gupta Perioperative Risk for Myocardial Infarction or Cardiac Arrest score is a long-term cardiovascular risk predictor after aortoiliac revascularization.

INTRODUCTION: Gupta Perioperative Risk for Myocardial Infarction or Cardiac Arrest (MICA) is a validated self-explanatory score applied in cardiac or non-cardiac 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 two 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). CONCLUSION: The MICA score is a quick, easy-to-obtain, predictive tool in identifying patients with a higher risk of post-aortoiliac revascularization cardiovascular events, such as acute heart failure, major adverse cardiovascular events and all-cause mortality. Additional research for validation of the MICA score in the context of aortoiliac revascularization and specific interventions are necessary.

Age-related white matter change disease predicts long-term cerebrovascular morbidity following carotid endarterectomy.

PURPOSE: Cerebrovascular diseases remain a critical focus of medical research due to their substantial impact on global health. Carotid stenosis, often associated with atherosclerosis and advancing age, profoundly affects cerebral blood supply and white matter integrity. This study aims to assess how age-related white matter changes (ARWMC) score, applied to cortex and Basal Ganglia, relates to cardiovascular and cerebrovascular events in patients who underwent carotid endarterectomy (CEA). METHODS: Ninety patients undergoing CEA with regional anesthesia were prospectively enrolled from January 2012 to January 2022, and a post hoc analysis of patients with preoperative cerebral CT scans were reviewed, stratified by ARWMC score. Survival analysis and multivariate Cox regression were employed to assess time-dependent variables and independent predictors. RESULTS: A median follow-up of 51 months (Inter-quartile range [IQR [ [38.8-63.2] months) revealed higher ARWMC grades in the basal ganglia independently associated with significantly increased stroke risk (HR=5.070, 95% CI: 1.509-17.031, P=0.009), acute heart failure (HR=19.066, 95% CI: 2.038-178.375, P=0.01), major adverse cardiovascular events (MACE) (HR=2.760, 95% CI: 1.268-6.009, P=0.011), and all-cause mortality (HR=2.497, 95% CI:1.009-6.180, P=0.048). Polyvascular disease and chronic kidney disease emerged as additional predictors of MACE. CONCLUSION: Higher grades of ARWMC score in the basal ganglia were related to a significant increase in the risk of adverse cardiovascular events, such as stroke, MACE, AHF and all-cause mortality. This study suggests that ARWMC may have potential as a possible predictor of long-term cardio- and cerebrovascular events in patients undergoing CEA.