Evidence mapPaperPMID 40199939Full record

ArticleScientific reports2025

The relationship between the triglyceride-glucose (TyG) index and all-cause mortality in ICU patients with primary hypertension: a retrospective study.

Jiacheng Ding, Jingqian Li, Xinyu Cai, Kai Zhang, Shi Yu, Keyan Liu, Maoxun Huang

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Article in Scientific reports, 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
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2 citing papers in PubMed.

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5 · Who and what money

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7 authors.

Jiacheng Ding *Second Affiliated Hospital of Jilin University, Changchun, China.
Jingqian Li *Second Affiliated Hospital of Jilin University, Changchun, China.
Xinyu CaiSecond Affiliated Hospital of Jilin University, Changchun, China.
Kai ZhangSecond Affiliated Hospital of Jilin University, Changchun, China.
Shi YuSecond Affiliated Hospital of Jilin University, Changchun, China.
Keyan LiuSecond Affiliated Hospital of Jilin University, Changchun, China.
Maoxun HuangSecond Affiliated Hospital of Jilin University, Changchun, China. surgeonxun@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Primary hypertension is the most common type of hypertension, with a complex and not fully understood pathogenesis. Insulin resistance (IR) is a metabolic abnormality that has been shown to be quite prevalent among patients with hypertension in existing literature. The triglyceride-glucose (TyG) index is a reliable indicator for assessing insulin resistance (IR). This study aims to evaluate the relationship between the TyG index at admission and all-cause mortality (ACM) in patients with severe primary hypertension, and to explore its role in predicting the future all-cause mortality risk in primary hypertension patients. This study employs a retrospective design to categorize all patients into four quartiles based on the TyG index. The Kaplan-Meier (K-M) method was utilized to estimate the survival curves for each group and to compare the survival outcomes across different quartiles. To assess the nonlinear relationship between the TyG index and prognosis, Cox proportional hazards regression models and restricted cubic splines (RCS) were applied, adjusting for potential confounders. Additionally, subgroup analyses were performed to conduct stratified analyses and interaction tests. Kaplan-Meier survival curve analysis showed that patients with higher TyG index levels had higher all-cause mortality rates at 30 days, 60 days, and 90 days post-admission. This indicates that a higher TyG index is associated with an increased risk of death in the short term. Additionally, multivariate Cox proportional hazards regression analysis revealed that an increased TyG index was significantly associated with all-cause mortality at 30 days, 60 days, and 90 days. Meanwhile, RCS analysis indicates that as the TyG index level increases, the hazard ratio (HR) shows a significant upward trend, suggesting a gradual increase in the risk of all-cause mortality. In summary, among patients with primary hypertension in the intensive care unit, elevated TyG levels are associated with an increased risk of short-term mortality.

Indexed as

Blood GlucoseEssential HypertensionHypertensionTriglyceridesAgedFemaleHumansInsulin ResistanceIntensive Care UnitsKaplan-Meier EstimateMaleMiddle AgedPrognosisProportional Hazards ModelsRetrospective StudiesRisk FactorsBlood GlucoseTriglyceridesAll-cause mortalityMIMIC-IV databasePrimary hypertensionPrognosisTriglyceride-glucose index

Identifiers

PMID40199939
PMCPMC11978879

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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.