Association between triglyceride-glucose index and in-hospital mortality in critically ill patients with sepsis: analysis of the MIMIC-IV database

• Published in: Cardiovascular diabetology Vol. 22; no. 1; pp. 1 - 307
• Main Authors: Zheng, Rui, Qian, Songzan, Shi, Yiyi, Lou, Chen, Xu, Honglei, Pan, Jingye
• Format: Journal Article
• Language: English
• Published: London BioMed Central 08.11.2023; BMC
• Subjects: Algorithms; Binomial distribution; Body mass index; Cardiac arrhythmia; Cardiovascular disease; Chronic obstructive pulmonary disease; Creatinine; Disease prevention; Feature selection; Gender; Glucose; Hemoglobin; Hospitals; In-hospital mortality; Insulin resistance; Kidneys; Learning algorithms; Machine learning; MIMIC-IV database; Mortality; Neutrophils; Patients; Regression analysis; Sensitivity analysis; Sepsis; Software; Standard scores; Structured Query Language-SQL; Triglyceride-glucose index; Triglycerides; Variables

Abstract Background This study aimed to explore the association between the triglyceride-glucose (TyG) index and the risk of in-hospital mortality in critically ill patients with sepsis. Methods This was a retrospective observational cohort study and data were obtained from the Medical Information M...