Leuko-glycemic index as a predictor of complications in myocardial infarction: RECUIMA registry

Introduction: The synergetic evaluation of the hyperglycemia and the white blood count as leuko-glycemic index (LGI) joins a bigger number of adverse events during the internment in patients with ST Elevation Myocardial Infarction (STEMI). Objective: To evaluate the predictive value of the leuko-glycemic index (LGI) for in-hospital complications of acute ST-elevation myocardial infarction (STEMI). Materials and method: This was a multicenter, analytical, observational historical cohort study of 1,133 patients recorded in the Registro Cubano de Infarto de Miocardio Agudo [Cuban Acute MyocardialInfarction Registry] between January 2018 and June 2021.The patients were divided into quartiles and groups according to the calculated LGI cut-off point.Results: the optimal LGI cut-off point for predicting complications was 1,188.4(61.4% sensitivity; 57.3% specificity; area under the curve: 0.609; p < 0.001).In-hospital complications increased significantly in the LGI quartiles as well as in the two groups, according to the cut-off point.The logistical regression analysis showed that LGI was an independent predictor of in-hospital complications (OR [95% CI] = 1.27 [1.11-1.46];p = 0.001).When LGI was included in the multivariate model, its predictive ability increased (area under the curve: 0.813; p < 0.001).The Kaplan-Meier curves showed significant differerences between the patient groups (p = 0.030).Conclusions: LGI constitutes an independent predictor of in-hospital complications of STEMI.Adding LGI to a baseline risk model has a strong positive effect on the prediction of adverse prognoses in patients with STEMI.