Crossmark

The role of triglyceride-glucose (TyG) index in predicting mortality risk in critically ill patients with sepsis: a machine learning model in a cohort study

Crossref DOI link: https://doi.org/10.1186/s12911-026-03502-4

Published Online: 2026-04-20

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Li, Shuo

Wu, Zibo

Jia, Meijun

Xu, Lihua

Sun, Mengzi
License Information

Text and Data Mining valid from 2026-04-20

Version of Record valid from 2026-06-02
More Information

Article History

Received: 25 November 2024

Accepted: 13 April 2026

First Online: 20 April 2026

Declarations

:

: Written informed consent was obtained from each participant before participation in this study. The data for this study came from de-identified data, and all participant information has been anonymized so that ethical approval was not required.

: Not applicable.

: The authors declare no competing interests.

Document is current

Any future updates will be listed below