Evidence map›Paper›PMID 41179564›Full record

ArticleFrontiers in cardiovascular medicine2025

Nonlinear association between triglyceride-glucose index and risk of hyperuricemia in early-stage cardiovascular-kidney-metabolic syndrome: a cross-sectional study of United States population.

Xinyang Chen, Yan Liang

Abstract read
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Article in Frontiers in cardiovascular medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

2 authors.

Xinyang ChenDepartment of Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, China.
Yan LiangWest China School of Nursing, Sichuan University, Chengdu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Cardiovascular-kidney-metabolic (CKM) syndrome represents a critical intersection of cardiovascular, renal, and metabolic disorders, emphasizing the importance of early risk stratification and intervention. The triglyceride-glucose (TyG) index, a surrogate marker of insulin resistance, has shown promise in predicting cardiometabolic risk. However, its association with hyperuricemia in early-stage CKM syndrome remains uncertain. Methods: This study analyzed data from 14,716 adult participants in the NHANES 2005-2018 dataset. A complex survey weight design and multiple imputation techniques were utilized to address missing data. The relationship between the TyG index and hyperuricemia was examined using generalized additive models and piecewise regression, with multivariable logistic regression adjusting for 14 potential confounders. Results: The TyG index demonstrated a significant positive association with hyperuricemia. Each unit increase in the TyG index was associated with a 62% higher risk of hyperuricemia (OR = 1.62, 95% CI: 1.45-1.81). A non-linear relationship was identified, with an inflection point at a TyG index of 9.50. Below this threshold, higher TyG index values were significantly associated with increased odds of hyperuricemia (OR = 2.18, 95% CI: 1.82-2.61), while above the threshold, the association became non-significant (OR = 0.79, 95% CI: 0.57-1.10). Subgroup analyses confirmed consistent associations across various demographic and clinical characteristics. Conclusions: The TyG index may serve as a valuable biomarker for identifying hyperuricemia risk in individuals with early-stage CKM syndrome, offering potential utility in clinical and public health settings. Further longitudinal studies are warranted to confirm these findings and assess the impact of TyG index-guided interventions on CKM syndrome progression.

Indexed as

cardiovascular-kidney-metabolic syndrome (CKM)hyperuricemiathreshold effecttriglyceride-glucose index (TyG)United States

Identifiers

PMID41179564
PMCPMC12575291

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