Triglyceride-glucose index as a potential predictor for in-hospital mortality in critically ill patients with intracerebral hemorrhage: a multicenter, case-control study

• Published in: BMC geriatrics 2024-05, Vol.24 (1), p.385-385, Article 385
• Main Authors: Yang, Yang, Liang, Shengru, Liu, Jiangdong, Man, Minghao, Si, Yue, Jia, Dengfeng, Li, Jianwei, Tian, Xiaoxi, Li, Lihong
• Format: Article
• Language: English
• Subjects: Aged; Aged patients; Aged, 80 and over; All-cause mortality; Analysis; Anticoagulants; Blood Glucose - analysis; Blood Glucose - metabolism; Blood sugar; Cardiovascular disease; Care and treatment; Case-Control Studies; Cerebral Hemorrhage - blood; Cerebral Hemorrhage - diagnosis; Cerebral Hemorrhage - mortality; Coronary vessels; Critical Illness - mortality; Dextrose; Diagnosis; Female; Gender; Glucose; Health aspects; Hemorrhage; Hospital Mortality - trends; Hospitalization; Hospitals; Humans; Hypertension; Intensive care; Intensive care unit; Intensive Care Units - trends; Intracerebral hemorrhage; Ischemia; Male; Medical prognosis; Medical records; Medical research; Medicine, Experimental; Middle Aged; Mortality; Older people; Patient outcomes; Patients; Population studies; Predictive Value of Tests; Prognosis; Regression analysis; Retrospective Studies; Sensitivity analysis; Statistical analysis; Stroke; Stroke (Disease); Triglyceride-glucose index; Triglycerides; Triglycerides - blood; Variables; Vein & artery diseases; Ventilators
• ISSN: 1471-2318; 1471-2318
• DOI: 10.1186/s12877-024-05002-4

The correlation between the triglyceride-glucose index (TyG) and the prognosis of ischemic stroke has been well established. This study aims to assess the influence of the TyG index on the clinical outcomes of critically ill individuals suffering from intracerebral hemorrhage (ICH). Patients diagnosed with ICH were retrospectively retrieved from the Medical Information Mart for Intensive Care (MIMIC-IV) and the eICU Collaborative Research Database (eICU-CRD). Various statistical methods, including restricted cubic spline (RCS) regression, multivariable logistic regression, subgroup analysis, and sensitivity analysis, were employed to examine the relationship between the TyG index and the primary outcomes of ICH. A total of 791 patients from MIMIC-IV and 1,113 ones from eICU-CRD were analyzed. In MIMIC-IV, the in-hospital and ICU mortality rates were 14% and 10%, respectively, while in eICU-CRD, they were 16% and 8%. Results of the RCS regression revealed a consistent linear relationship between the TyG index and the risk of in-hospital and ICU mortality across the entire study population of both databases. Logistic regression analysis revealed a significant positive association between the TyG index and the likelihood of in-hospital and ICU death among ICH patients in both databases. Subgroup and sensitivity analysis further revealed an interaction between patients' age and the TyG index in relation to in-hospital and ICU mortality among ICH patients. Notably, for patients over 60 years old, the association between the TyG index and the risk of in-hospital and ICU mortality was more pronounced compared to the overall study population in both MIMIC-IV and eICU-CRD databases, suggesting a synergistic effect between old age (over 60 years) and the TyG index on the in-hospital and ICU mortality of patients with ICH. This study established a positive correlation between the TyG index and the risk of in-hospital and ICU mortality in patients over 60 years who diagnosed with ICH, suggesting that the TyG index holds promise as an indicator for risk stratification in this patient population.