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

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Publication Details

Journal
BMC Medical Informatics and Decision Making
Published
2026-04-20
DOI
https://doi.org/10.1186/s12911-026-03502-4
Primary Topic
Hyperglycemia and glycemic control in critically ill and hospitalized patients
Type
article
Field-Weighted Citation Impact
0.00
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article

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

Lihua Xu, Zibo Wu, Meijun Jia, Mengzi Sun et al.
BMC Medical Informatics and Decision Making
Hyperglycemia and glycemic control in critically ill and hospitalized patients
article

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

Lihua Xu, Zibo Wu, Meijun Jia, Mengzi Sun, Shuo Li
article en

Abstract

No abstract available for this paper.
BMC Medical Informatics and Decision Making
Jilin University (CN), First Affiliated Hospital of Xi'an Jiaotong University (CN), Central Hospital of Zibo (CN), Xi'an Jiaotong University (CN)
Good health and well-being
Openalex Percentile: Top 8%
Hyperglycemia and glycemic control in critically ill and hospitalized patients
DOIOpen Access PDFOpenAlex
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