{"title":"Triglyceride-glucose index and 28-day all-cause mortality in critically ill obese patients: A MIMIC-IV database analysis.","authors":"Wen-Qiang Wang, Mei-Zhu Chen, Yan-Hui Yang","doi":"10.1016/j.jacl.2025.05.005","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>The triglyceride-glucose (TyG) index, a surrogate marker of insulin resistance, has been linked to various metabolic disorders. This study aimed to investigate the association between the TyG index and 28-day all-cause mortality in obese critically ill patients.</p><p><strong>Methods: </strong>This study utilized the Medical Information Mart for Intensive Care IV (MIMIC-IV) database and included adult patients with body mass index ≥30 kg/m² admitted to the intensive care unit (ICU) for the first time. The TyG index was calculated as ln[fasting triglycerides (mg/dL) × fasting glucose (mg/dL)/2]. The relationship between the TyG index and 28-day all-cause mortality was evaluated using Cox proportional hazards models, and restricted cubic splines (RCS) were employed to explore the dose-response relationship. Subgroup analyses were used to confirm the robustness of the results.</p><p><strong>Results: </strong>During a mean ICU stay of 7.22 days, 291 patients (22.79%) experienced 28-day all-cause mortality. Kaplan-Meier analysis revealed a significantly increased mortality risk with higher TyG index quartiles (log-rank P < .001). Multivariable Cox regression showed that each 1-unit increase in the TyG index was associated with a 41% higher mortality risk (hazard ratio [HR] = 1.41, 95% CI: 1.21-1.63). Patients in quartile 4 had a 98% higher risk compared to quartile 1 (HR = 1.98, 95% CI: 1.30-3.02). RCS analysis showed that higher levels of TyG index (>9.25) were associated with an increased risk of 28-day all-cause mortality. Subgroup analyses confirmed consistent associations across age, sex, and comorbidity subgroups.</p><p><strong>Conclusion: </strong>The TyG index is significantly associated with 28-day all-cause mortality in obese critically ill patients. A higher TyG index serves as an independent predictor of short-term mortality risk in this population.</p>","PeriodicalId":15392,"journal":{"name":"Journal of clinical lipidology","volume":" ","pages":""},"PeriodicalIF":3.6000,"publicationDate":"2025-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of clinical lipidology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1016/j.jacl.2025.05.005","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"PHARMACOLOGY & PHARMACY","Score":null,"Total":0}
引用次数: 0
Abstract
Background: The triglyceride-glucose (TyG) index, a surrogate marker of insulin resistance, has been linked to various metabolic disorders. This study aimed to investigate the association between the TyG index and 28-day all-cause mortality in obese critically ill patients.
Methods: This study utilized the Medical Information Mart for Intensive Care IV (MIMIC-IV) database and included adult patients with body mass index ≥30 kg/m² admitted to the intensive care unit (ICU) for the first time. The TyG index was calculated as ln[fasting triglycerides (mg/dL) × fasting glucose (mg/dL)/2]. The relationship between the TyG index and 28-day all-cause mortality was evaluated using Cox proportional hazards models, and restricted cubic splines (RCS) were employed to explore the dose-response relationship. Subgroup analyses were used to confirm the robustness of the results.
Results: During a mean ICU stay of 7.22 days, 291 patients (22.79%) experienced 28-day all-cause mortality. Kaplan-Meier analysis revealed a significantly increased mortality risk with higher TyG index quartiles (log-rank P < .001). Multivariable Cox regression showed that each 1-unit increase in the TyG index was associated with a 41% higher mortality risk (hazard ratio [HR] = 1.41, 95% CI: 1.21-1.63). Patients in quartile 4 had a 98% higher risk compared to quartile 1 (HR = 1.98, 95% CI: 1.30-3.02). RCS analysis showed that higher levels of TyG index (>9.25) were associated with an increased risk of 28-day all-cause mortality. Subgroup analyses confirmed consistent associations across age, sex, and comorbidity subgroups.
Conclusion: The TyG index is significantly associated with 28-day all-cause mortality in obese critically ill patients. A higher TyG index serves as an independent predictor of short-term mortality risk in this population.
期刊介绍:
Because the scope of clinical lipidology is broad, the topics addressed by the Journal are equally diverse. Typical articles explore lipidology as it is practiced in the treatment setting, recent developments in pharmacological research, reports of treatment and trials, case studies, the impact of lifestyle modification, and similar academic material of interest to the practitioner.
Sections of Journal of clinical lipidology will address pioneering studies and the clinicians who conduct them, case studies, ethical standards and conduct, professional guidance such as ATP and NCEP, editorial commentary, letters from readers, National Lipid Association (NLA) news and upcoming event information, as well as abstracts from the NLA annual scientific sessions and the scientific forums held by its chapters, when appropriate.