Evidence map›Paper›PMID 40176015›Full record

ArticleBMC pulmonary medicine2025

The impact of the triglyceride-glucose index on the risk of respiratory failure in patients with COPD: a study from the MIMIC database and Chinese cohorts.

Shiyu Hu, Ye Zhang, Zhifang Cui, Ye Zhang, Jiaye Wang, Xiaoli Tan, Wenyu Chen

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Article in BMC pulmonary medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

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5citing papers in PubMed
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1 · What the graph read from it

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

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3 · Its place in the literature

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5 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Shiyu Hu *Department of Respiratory Medicine, Affiliated Hospital of Jiaxing University, Jiaxing, China.
Ye Zhang *Department of General Medicine, Affiliated Hospital of Jiaxing University, Jiaxing, China.
Zhifang CuiDepartment of Respiratory Medicine, Dongzhimen Hospital, Beijing University of Chinese, Beijing, China.
Ye ZhangZhejiang Chinese Medical University, Hangzhou, China.
Jiaye WangZhejiang Chinese Medical University, Hangzhou, China.
Xiaoli TanDepartment of Respiratory Medicine, Affiliated Hospital of Jiaxing University, Jiaxing, China.
Wenyu ChenDepartment of Respiratory Medicine, Affiliated Hospital of Jiaxing University, Jiaxing, China. 00135116@zjxu.edu.cn.

Funding

Key Construction Disciplines of Provincial and Municipal Co construction of Zhejiang NO.2023-SSGJ-002
6 · The paper itself

Abstract

backgroundThe Triglyceride-Glucose (TyG) index, a reliable marker for insulin resistance, is now employed to assess the onset and prognosis of various conditions like acute coronary syndrome, chronic kidney disease, and ischemic stroke. However, whether the TyG index can be used to assess respiratory failure (RF) risk among Chronic obstructive pulmonary disease (COPD) patients remains uncertain. The present study aims to delve into the link between the TyG index and the risk of RF in COPD patients.

methodsIndividuals with COPD were retrospectively acquired from the MIMIC-IV 2.2 (The Medical Information Mart for Intensive Care IV, version 2.2) database. The association between the TyG index and the probability of RF among COPD patients was evaluated using Cox proportional hazards models and restricted cubic spline (RCS) curves. Cumulative incidence curves were generated to appraise the RF risk across the quartile groups. Finally, 1188 patients were recruited from the First Hospital of Jiaxing City to externally validate the Cox modeling results for the primary outcome.

resultsThis study incorporated a total of 1,232 participants from MIMIC database. Among these individuals, 134 cases (10.9%) experienced RF. According to Cox regression analysis, a one-unit increment in the TyG index was linked to a 1.821-fold elevated risk of RF in the COPD population (HR, 1.821[95% CI 1.349-2.459], P < 0.001). High TyG index levels were significantly linked to a higher RF risk (HR, 3.510 [95% CI 1.885-6.535], P < 0.001). RCS curve analysis also signaled a linear correlation between the TyG index and RF risk (P-Nonlinear = 0.074).

conclusionThere exists a certain correlation between high-level TyG index and the risk of RF occurrence in COPD patients, indicating promising prospects for utilizing the TyG index to assess the severity of COPD patients.

Indexed as

Blood GlucoseEast Asian PeoplePulmonary Disease, Chronic ObstructiveRespiratory InsufficiencyTriglyceridesAgedBiomarkersChinaDatabases, FactualFemaleHumansInsulin ResistanceMaleMiddle AgedProportional Hazards ModelsRetrospective StudiesBiomarkersBlood GlucoseTriglyceridesChronic obstructive pulmonary disorderExternally validateMedical Information Mart for Intensive Care IV (MIMIC-IV) datasetRespiratory insufficiencyTyG index

Identifiers

PMID40176015
PMCPMC11967114

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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.