Evidence map›Paper›PMID 41645342›Full record

ArticleEuropean journal of medical research2026

Association of triglyceride glucose index with mortality in critically ill patients with atherosclerotic cardiovascular disease: analysis of the MIMIC-IV database.

Huibo Wang, Guosong Jiang, Xiaoxiao Qu, Jinmeng Zhou

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Article in European journal of medical research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

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2citing papers in PubMed, 1 pooled it
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1 · What the graph read from it

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3 · Its place in the literature

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2 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Huibo WangHebei Medical University, Shijiazhuang, Hebei, China.
Guosong JiangDepartment of Pulmonary and Critical Care Medicine, The 1st People's Hospital of Zhaotong City & The Zhaotong Affiliated Hospital of Kunming Medical University, Zhaotong, Yunnan, China.
Xiaoxiao QuDepartment of Clinical Laboratory, The Second Affiliated Hospital & Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China.
Jinmeng ZhouBeijing Fengtai Hospital, Beijing, China. zjm_1019@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe triglyceride glucose (TyG) index, a surrogate marker of insulin resistance, has been linked to cardiovascular risk. However, its prognostic role in critically ill patients with atherosclerotic cardiovascular disease (ASCVD) remains unclear.

methodsIn this retrospective cohort study using the MIMIC-IV database, we identified 2,493 ASCVD patients and stratified them into TyG tertiles upon Intensive Care Unit (ICU) admission. Primary outcomes were 30-, 90-, and 365-day mortality. Secondary outcomes included the use and timing of mechanical ventilation (MV) and vasopressors. Cox regression, restricted cubic spline, and Fine-Gray competing risk models were applied. Propensity score matching (PSM) was performed as a sensitivity analysis. Subgroup analyses were conducted by age, sex, race, hypertension, diabetes, and statin use. Mediation analysis using white blood cell (WBC) count explored systemic inflammation.

resultsHigher TyG tertiles were consistently associated with increased mortality: 30-day (HR 1.85, 95% CI 1.46-2.36, P < 0.001), 90-day (HR 1.73, 95% CI 1.39-2.15, P < 0.001), and 365-day (HR 1.66, 95% CI 1.37-2.03, P < 0.001). These associations remained robust in propensity score-matched (PSM) analyses. Elevated TyG was also linked to greater need for MV (OR 1.93, 95% CI 1.66-2.24, P < 0.001) and vasopressor support (OR 1.58, 95% CI 1.35-1.86, P < 0.001) within the first 24 h, and to earlier initiation of these interventions in competing risk models (MV): sHR (subdistribution hazard ratio) 1.46, 95% CI 1.35-1.57, P < 0.001; vasopressor use: sHR 1.41, 95% CI 1.30-1.53, P < 0.001. WBC count partially mediated the TyG-mortality association, accounting for 22.18% of the total effect (P < 0.001) for 30-day mortality. In exploratory subgroup analyses, the association between TyG and mortality appeared more pronounced in nondiabetic patients (30-day HR 1.58, 95% CI 1.35-1.84) than in diabetic patients (HR 1.13, 95% CI 0.94-1.36), although these findings should be interpreted cautiously.

conclusionIn critically ill patients with ASCVD, higher TyG index was associated with adverse outcomes, including increased mortality and earlier initiation of organ-supportive interventions. These findings suggest that TyG could serve as a practical biomarker for early risk stratification in this high-risk population, though prospective studies are warranted to confirm its clinical utility.

Indexed as

Atherosclerotic cardiovascular diseaseCritical careInflammationInsulin resistanceMortalityTriglyceride glucose index

Identifiers

PMID41645342
PMCPMC12969890

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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 OpenQuestion graph.