Leukoglycemic Index may be a Unique Parameter to Predict Mortality in Patients with Acute Myocardial Infarction: Single Operator Experience

Background and Aim: Predicting high-risk patients is crucial in acute myocardial infarction (AMI). We aimed to investigate whether the leukoglycemic index (LGI) has a unique ability and to compare it with other inflammatory parameters in predicting in-hospital mortality in AMI. Methods: In this single-center study, we retrospectively analyzed all AMI patients hospitalized and followed by a single operator. Patients were divided into two according to in-hospital outcomes. Other inflammatory parameters (systemic immune-inflammatory index, platelet-lymphocyte ratio, neutrophil-lymphocyte ratio, triglyceride-HDL ratio, and LDL-HDL ratio), C-reactive protein (CRP), and LGI were calculated according to previously described criteria. Univariable and multivariable logistic regression analyses were used to find independent predictors. The receiver operating characteristic (ROC) curve was used to find the cut-off point of LGI and other parameters in predicting mortality. Results: A total of 304 patients with AMI were included in the study. The mean age was 62.18±11.89 and 74 (24.3%) of patients were female. The total death rate was 19 (6.3%). In univariate variable analysis, LGI was found as a significant predictor of mortality (p