Triglyceride-glucose index: a novel evaluation tool for all-cause mortality in critically ill hemorrhagic stroke patients-a retrospective analysis of the Medical Information Mart for Intensive Care-IV (MIMIC-IV) database

Cardiovasc DiabetolPublished Retrospective cohort study

Authors' conclusion

In summary, TyG-i exhibits a significant correlation with ACM among patients enduring critical illness due to HS. This correlation underscores the probable utility of TyG-i as a prognostic tool for stratifying HS patients according to their risk of mortality. Applying TyG-i in clinical settings could enhance therapeutic decision-making and the management of disease trajectories. Additionally, this investigation augments existing research on the linkage between the TyG-i and IS, elucidating the TyG-i's role in predicting mortality across diverse stroke categories.

Study context

Population
Critically ill patients with severe hemorrhagic stroke (non-traumatic intracerebral hemorrhage (ICH) and subarachnoid hemorrhage (SAH)) admitted to intensive care unit (ICU), MIMIC-IV (version 2.2) database54.4% male
Participants
1,475 patients
Exposure
Higher vs lower triglyceride-glucose index (TyG-i)
Outcome
Association of TyG-i with ACM among critically ill hemorrhagic stroke (HS) patients in the ICU
Methodological detailsMIMIC-IV database, TyG-i quartiles
  • MIMIC-IV database
  • TyG-i quartiles

Main finding

As reported in the abstract

All-cause mortality with heightened TyG-i

aHR 30 days

1.32

95% CI 1.05–1.67P = 0.020

aHR 90 days

1.27

95% CI 1.04–1.55P = 0.019

aHR 1 year

1.22

95% CI 1.03–1.44P = 0.023

Observational data: associations, not effects.

Further findings

Observed mortality, whole cohort

ICU
7.3%
In-hospital
10.9%
30 days
13.8%
90 days
19.7%
1 year
27.3%

Original publication

Triglyceride-glucose index: a novel evaluation tool for all-cause mortality in critically ill hemorrhagic stroke patients-a retrospective analysis of the MIMIC-IV database. Cardiovasc Diabetol. Published 18 March 2024. doi:10.1186/s12933-024-02193-3

Composed by AI from the published abstract and checked against it. How Briefs are made →

Get them every week

New studies on this topic in My Week and in your Monday e-mail.

We e-mail you a sign-in link and a code. No password, no spam.