ArticleArchives of academic emergency medicine2023
Leuko-Glycemic Index in the Prognosis of Acute Myocardial Infarction; a Cohort Study on Coronary Angiography and Angioplasty Registry.
Article in Archives of academic emergency medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
6 citing papers in PubMed.
- Assessment of inflammatory and glycemic markers for in-hospital mortality in STEMI patients.Irish journal of medical science · 2026Article
- The role of the leukocyte glucose index in predicting clinical outcomes in acute methanol toxicity.Toxicology reports · 2025Article
- Elevated Leukocyte Glucose Index (LGI) Is Associated with Diabetic Ketoacidosis (DKA) Severity and Presence of Microvascular Complications.Medicina (Kaunas, Lithuania) · 2025Observational
- Leukoglycemic Index and Its Prognostic Implications in Diabetic and Nondiabetic Patients with Acute Pulmonary Embolism.Medical science monitor : international medical journal of experimental and clinical research · 2025Article
- Elevated Leukocyte Glucose Index Is Associated with Long-Term Arteriovenous Fistula Failure in Dialysis Patients.Journal of clinical medicine · 2024Article
- A Look at Archives of Academic Emergency Medicine Journal in 2023.Archives of academic emergency medicine · 2024Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction: The leuko-glycemic index (LGI), a combined index of patient leukocyte counts and blood glucose levels, has been shown to predict the prognosis of myocardial infarction (MI) patients. Our study aims to investigate the performance of LGI in prediction of outcomes in a population of diabetic and non-diabetic MI patients. Methods: This observational registry-based cohort study was performed on acute myocardial infarction (AMI) patients. Participants were sub-grouped according to their diabetes status and the calculated optimal LGI cut-off value. The outcomes of the study were the length of hospital stay, and in-hospital and 30-day mortality. Results: A total of 296 AMI (112 diabetic and 184 non-diabetic) patients were included in the study. The optimal cut-off value of LGI in the diabetic and non-diabetic groups was calculated as 2970.4 mg/dl.mm Conclusion: Our study demonstrated that higher LGI predicts in-hospital mortality in both diabetic and non-diabetic patients, while the length of hospital stay was only predicted by LGI levels in non-diabetic patients.
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