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

Authors : Fatih KAHRAMAN, Halil İbrahim DURMUŞ, Oğuz KILIÇ

Pages : 118-123

Doi:10.31832/smj.1222605

View : 27 | Download : 10

Publication Date : 2023-03-16

Article Type : Research Paper

Abstract :Background and Aim: Predicting high-risk patients is crucial in acute myocardial infarction insert ignore into journalissuearticles values(AMI);. We aimed to investigate whether the leukoglycemic index insert ignore into journalissuearticles values(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 insert ignore into journalissuearticles values(systemic immune-inflammatory index, platelet-lymphocyte ratio, neutrophil-lymphocyte ratio, triglyceride-HDL ratio, and LDL-HDL ratio);, C-reactive protein insert ignore into journalissuearticles values(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 insert ignore into journalissuearticles values(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 insert ignore into journalissuearticles values(24.3%); of patients were female. The total death rate was 19 insert ignore into journalissuearticles values(6.3%);. In univariate variable analysis, LGI was found as a significant predictor of mortality insert ignore into journalissuearticles values(p<0.001);. After adjusting risk factors insert ignore into journalissuearticles values(age, coronary artery disease history, ejection fraction, CHA2DS2VASc score, creatinine, and CRP); in multivariable analysis, LGI was still found as a significant predictor of short-term mortality. ROC curve analysis showed that the area under the curve was 0.837 insert ignore into journalissuearticles values(0.704-0.971); with a sensitivity of 76.5% and with a specificity of 91.5% with a 3.39 cut-off value. Conclusion: Our study showed that LGI might be a unique parameter in predicting short-term mortality in AMI.
Keywords : lökoglisemik indeks, akut miyokard enfaktüsü, mortalite, leukoglycemic index, acute myocardial infarction, mortality