The association between triglyceride glucose-body mass index and mortality in intensive care unit patients: a propensity score matching analysis

TyG-BMI is a novel, non-invasive predictor of mortality in ICU-CIP. These findings may inform risk stratification and public health strategies, although validation in diverse populations is warranted.

Authors

Institutions

Publication Details

Journal
European journal of medical research
Published
2025-08-31
DOI
https://doi.org/10.1186/s40001-025-03128-8
Citations
1
Primary Topic
Hyperglycemia and glycemic control in critically ill and hospitalized patients
Type
article
Field-Weighted Citation Impact
1.29
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The association between triglyceride glucose-body mass index and mortality in intensive care unit patients: a propensity score matching analysis

Yongwei Huang, Zongping Li, Xiaoshuang Yin
1 citations
European journal of medical research
Hyperglycemia and glycemic control in critically ill and hospitalized patients
1.29
article

The association between triglyceride glucose-body mass index and mortality in intensive care unit patients: a propensity score matching analysis

Yongwei Huang, Zongping Li, Xiaoshuang Yin
article en
1 citations

Abstract

TyG-BMI is a novel, non-invasive predictor of mortality in ICU-CIP. These findings may inform risk stratification and public health strategies, although validation in diverse populations is warranted.

European journal of medical researchVol. 30(1)
Mianyang Central Hospital (CN)
Openalex Percentile: Top 16%
Hyperglycemia and glycemic control in critically ill and hospitalized patients
1.29
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.