Evidence mapPaperPMID 41102683Full record

ArticleLipids in health and disease2025

Association between triglyceride-glucose index and postoperative delirium following cardiac surgery: a multicenter retrospective analysis.

Jia Zeng, Nanxi Li, Caifeng Ma, Yuqi Song, Weikun Tian, Ya Gao, Shuo Tang, Xiangtian Liu, Xinghan Tian

Abstract readMulticenter Study
In one paragraph

Article in Lipids in health and disease, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
field-weighted citation impact
1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Jia Zeng *Department of Intensive Care Medicine, The Affiliated Yantai Yuhuangding Hospital of Qingdao University, Yantai, China.
Nanxi Li *Department of Geriatrics, Chengdu Pidu District Hospital of Traditional Chinese Medicine, Chengdu, China.
Caifeng MaDepartment of Intensive Care Medicine, The Affiliated Yantai Yuhuangding Hospital of Qingdao University, Yantai, China.
Yuqi SongSchool of Clinical Medicine, Shandong Second Medical University, Weifang, Shandong, China.
Weikun TianSchool of Clinical Medicine, Shandong Second Medical University, Weifang, Shandong, China.
Ya GaoBinzhou Medical University Second Clinical Medical College, Yantai, China.
Shuo TangBinzhou Medical University Second Clinical Medical College, Yantai, China.
Xiangtian LiuYantai Yuhuangding Hospital, Yantai, Shandong, China.
Xinghan TianYantai Yuhuangding Hospital, Yantai, Shandong, China. tianfenger987@sina.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPostoperative delirium (POD) after cardiac surgery correlates with adverse outcomes, increasing healthcare burdens and hindering patient recovery.The triglyceride-glucose (TyG) index, a marker of insulin resistance, shows cardiovascular prognostic value.This study sought to explore the association between the TyG index and the development of POD in patients undergoing cardiac surgery.

methodsThis multicenter retrospective cohort study included 1,850 patients (MIMIC-IV: n = 1,461; Yuhuangding: n = 389). A four-knot restricted cubic spline (RCS) regression analyzed the nonlinear relationship to determine the TyG threshold. Multivariable logistic regression and propensity score matching (PSM) controlled for baseline differences.Subgroup analyses were conducted.

resultsPatients with POD exhibited significantly higher TyG indices compared to non-POD patients (MIMIC-IV cohort: 9.06 vs. 8.83, P < 0.001). Using the optimal threshold derived from RCS regression, participants were stratified into two groups: Q1 (< 8.91) and Q2 (≥ 8.91). Multivariable logistic regression revealed that a TyG index ≥ 8.91 was independently associated with an increased risk of POD (adjusted OR 1.767, 95% CI: 1.406-2.219, P < 0.001). This association remained statistically significant in PSM-adjusted analyses across multiple regression models. These findings were validated in the Yuhuangding Hospital cohort. Subgroup analyses demonstrated significant interaction effects in specific patient populations.

conclusionThis study establishes a robust and independent association between an elevated TyG index and increased risk of POD in cardiac surgery patients, suggesting that the TyG index may serve as a valuable biomarker for identifying patients at risk of postoperative delirium.

Indexed as

Blood GlucoseCardiac Surgical ProceduresDeliriumPostoperative ComplicationsTriglyceridesAgedBiomarkersFemaleHumansLogistic ModelsMaleMiddle AgedRetrospective StudiesRisk FactorsBiomarkersBlood GlucoseTriglyceridesCardiac surgeryCritical careMulticenter studiesPostoperative deliriumTyG index

Identifiers

PMID41102683
PMCPMC12533457

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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.