Evidence mapPaperPMID 42210069Full record

ArticleBMC cardiovascular disorders2026

Association between triglyceride glucose-body mass index and all-cause mortality in critically ill patients with atherosclerotic cardiovascular diseases: a retrospective cohort study using the MIMIC-IV database.

Yaxin Liu, Chenxi Fu, Fengao Li, Hao Wang, Mei Zhu

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Article in BMC cardiovascular disorders, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

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5 authors.

Yaxin LiuDepartment of Endocrinology and Metabolism, Tianjin Medical University General Hospital, Tianjin, 300052, China.
Chenxi FuDepartment of General Surgery, Tianjin Medical University General Hospital, TianJin, 300052, China.
Fengao LiDepartment of Endocrinology and Metabolism, Tianjin Medical University General Hospital, Tianjin, 300052, China.
Hao WangDepartment of Endocrinology and Metabolism, Tianjin Medical University General Hospital, Tianjin, 300052, China.
Mei ZhuDepartment of Endocrinology and Metabolism, Tianjin Medical University General Hospital, Tianjin, 300052, China. meichuqin@163.com.

Funding

Tianjin Key Medical Discipline (Specialty) Construction Project TJYXZDXK-3-002C
6 · The paper itself

Abstract

backgroundAtherosclerotic cardiovascular disease (ASCVD) remains the leading cause of cardiovascular mortality worldwide, with insulin resistance recognized as a key pathophysiological driver. While the triglyceride glucose-body mass index (TyG-BMI) has emerged as a promising insulin resistance marker, its prognostic value for ASCVD mortality outcomes requires further elucidation.

methodsWe conducted a retrospective cohort study of 1,637 critically ill ASCVD patients (median age 68.3 years) from the MIMIC-IV database. The primary endpoints were 30-day and 1-year mortality, with secondary assessments of 90-day and 180-day mortality. Comprehensive statistical analyses included multivariable Cox regression, restricted cubic splines (RCSs) for nonlinearity assessment, and Kaplan-Meier survival analysis.

resultsAfter full adjustment for potential confounders, elevated TyG-BMI showed significant inverse associations with both 30-day (HR 0.11, 95% CI 0.06-0.19) and 1-year mortality (HR 0.13, 95% CI 0.08-0.20). RCS analysis revealed a characteristic L-shaped dose-response relationship (nonlinear P < 0.001), while Kaplan-Meier curves demonstrated progressively improved survival across TyG-BMI quartiles (log-rank P < 0.001).

conclusionThis study revealed that the TyG-BMI is an independent predictor of mortality in critically ill ASCVD patients, with a distinct nonlinear protective effect. These findings support the potential clinical utility of the TyG-BMI for risk stratification in this high-risk population.

Indexed as

AtherosclerosisBlood GlucoseBody Mass IndexTriglyceridesAgedBiomarkersCause of DeathCritical IllnessDatabases, FactualFemaleHumansInsulin ResistanceKaplan-Meier EstimateMaleMiddle AgedPredictive Value of TestsBiomarkersBlood GlucoseTriglyceridesAll-cause mortalityAtherosclerotic cardiovascular diseaseInsulin resistanceIntensive careTyG-BMI index

Identifiers

PMID42210069
PMCPMC13418136

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.