BMJ Open (May 2023)

Association between TyG index and long-term mortality of critically ill patients: a retrospective study based on the MIMIC Database

  • Dan Wu,
  • Yun Yu,
  • Lingli Dai,
  • Kunling Wang,
  • Cuining Hu,
  • Shan Shan

DOI
https://doi.org/10.1136/bmjopen-2022-065256
Journal volume & issue
Vol. 13, no. 5

Abstract

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Objective To evaluate the association of triglyceride–glucose (TyG) index on admission with outcomes of critically ill patients.Design A retrospective study.Setting A population-based cohort study of Medical Information Mart for Intensive Care III Database (MIMIC III).Participants All intensive care unit admissions were extracted from MIMIC III.Main outcome measures The TyG index was calculated as ln [triglycerides (mg/dL)×glucose (mg/dL)/2]. The primary endpoint was 360-day mortality.Results A total of 3902 patients with an average age of 63.1±15.9 years old were enrolled, including 1623 (41.6%) women. The 360-day mortality was lower in a higher TyG group. Compared with the lowest TyG group, the HR of 360-day mortality was 0.79 (95% CI (0.66, 0.95); p=0.011) in the fully adjusted Cox model and 0.71 (95% CI (0.59, 0.85); p<0.001) in the stepwise Cox model. In the subgroup analysis, an interaction effect was detected between TyG index and gender.Conclusions A lower TyG index was associated with the risk of 360-day mortality in critically ill patients, which could be a predictor of long-term survival of critically ill patients.