The leuko-glycemic index can predict multivessel disease in the elderly acute myocardial infarction population? a retrospective cohort study

Authors : Mevlüt DEMİR

Pages : 1119-1124

View : 48 | Download : 32

Publication Date : 2023-09-28

Article Type : Research Paper

Abstract :Aims: Cardiovascular diseases are still the leading cause of death, as the cause of approximately 30% of all deaths in the world and half of all deaths due to cardiovascular diseases also consist of individuals aged 70 and older. The leukoglycemic index insert ignore into journalissuearticles values(LGI); is a new parameter associated with mortality, complication, and prognosis in cardiovascular diseases. It can be applied easily at the bedside, has a low cost, and consists of a combination of leukocytes and glucose. In our study, we aimed to evaluate the predictive effect of leukoglycemic index on multivessel disease in elderly patients over 65 who were hospitalized with acute myocardial infarction. Methods: In our retrospective cohort study, patients over 65 who were hospitalized with the diagnosis of acute myocardial infarction were included. LGI was calculated with the formula: blood glucose × white blood cell/1000. All datas about patients were collected from the electronic hospital information system, patient files and our hospital’s archive. Results: The patients were divided into two groups: single-vessel disease and multivessel disease. The laboratory parameters of the patients were compared, and LGI insert ignore into journalissuearticles values(1532.5 insert ignore into journalissuearticles values(577.7-3770.3); vs 2077.9 insert ignore into journalissuearticles values(646.6-5301);; p<0.001); were found to be significantly different between the two groups. According to unadjusted univariate log regression analysis, LGI was statistically significant in predicting multivessel disease insert ignore into journalissuearticles values(OR: 1.724, 95% CI: insert ignore into journalissuearticles values(1.222-2.432);, p=0.002);. After adjusting the model by adding clinically and statistically significant variables, LGI remained an independent predictor of multivessel disease insert ignore into journalissuearticles values(OR: 1.599, 95% CI insert ignore into journalissuearticles values(1.086-2.357);, p=0.018);. The discrimination ability of LGI was analyzed with ROC curve analysis. The LGI AUC value was 0.619 insert ignore into journalissuearticles values(95% Cl, 0.544-0.695, p=0.003);. Conclusion: Our study showed that high LGI is an independent predictor of multivessel coronary artery disease in elderly patients with acute myocardial infarction.
Keywords : Blood glucose, coronary artery disease, elderly, leukocyte, myocardial infarction