Evidence map›Paper›PMID 42375333›Full record

ArticleFrontiers in endocrinology2026

The triglyceride-glucose-waist-to-height ratio is the strongest predictor of reduced kidney function in elderly hypertensive patients.

Jiaying Ling, Shu Xie, Yanyan Zhang, Danxiang Chen, Changwei Lü, Gongcheng Wang, Xueqin Li

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Article in Frontiers in endocrinology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Jiaying LingDepartment of General Practice, The Affiliated Huaian No.1 People's Hospital of Nanjing Medical University, Huaian, Jiangsu, China.
Shu XieDepartment of General Practice, The Affiliated Huaian No.1 People's Hospital of Nanjing Medical University, Huaian, Jiangsu, China.
Yanyan ZhangDepartment of General Practice, The Affiliated Huaian No.1 People's Hospital of Nanjing Medical University, Huaian, Jiangsu, China.
Danxiang ChenDepartment of General Practice, The Affiliated Huaian No.1 People's Hospital of Nanjing Medical University, Huaian, Jiangsu, China.
Changwei LüDepartment of General Practice, The Affiliated Huaian No.1 People's Hospital of Nanjing Medical University, Huaian, Jiangsu, China.
Gongcheng WangDepartment of Urology, The Affiliated Huaian No.1 People's Hospital of Nanjing Medical University, Huaian, Jiangsu, China.
Xueqin LiDepartment of General Practice, The Affiliated Huaian No.1 People's Hospital of Nanjing Medical University, Huaian, Jiangsu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The triglyceride-glucose index (TyG) and its derivatives, such as the TyG-waist-to-height ratio (TyG-WHtR), provide reliable surrogate measures for estimating insulin resistance (IR). Their associations with renal function in hypertensive patients remain unclear. This study examined the associations of TyG-WHtR and its related indices with estimated glomerular filtration rate (eGFR) in a community-based elderly hypertensive population. Methods: This cross-sectional study assessed the clinical indicators, TyG-related indices, and eGFR in a cohort of 3,764 hypertensive adults aged ≥65 years from Huaian, China, employing restricted cubic spline models (RCS), logistic regression, spearman correlation, and receiver operating characteristic (ROC) curve analyses to evaluate the associations and predictive utility of TyG-WHtR and related parameters for identifying impaired renal function, defined by reduced eGFR. Results: A total of 612 participants (16.25%) had reduced eGFR. Significant predictors of reduced eGFR included elevated TyG-WHtR and related indices, with TyG-WHtR showing a particularly robust association in both pre- and post-adjustment analyses. These indices correlated negatively with high-density lipoprotein cholesterol (HDL-C), and positively with measures of adiposity, fasting plasma glucose (FPG), and non-HDL cholesterol. Significant interactions were found for gender, age, and alcohol consumption. TyG-WHtR alone had an AUC of 0.596, but after adjustment its predictive ability improved to 0.864, demonstrating superior performance compared to TyG, TyG-body mass index (TyG-BMI), and TyG-waist circumference (TyG-WC). Conclusion: Elevated TyG-WHtR is an independent risk factor for the decline in eGFR in elderly patients with hypertension, demonstrating superior predictive value compared to other TyG-related indices. TyG-WHtR may serve as a useful marker for early identification of renal dysfunction in this population.

Indexed as

Blood GlucoseHypertensionKidneyTriglyceridesWaist-Height RatioAgedBiomarkersCross-Sectional StudiesFemaleGlomerular Filtration RateHumansInsulin ResistanceMaleBiomarkersBlood GlucoseTriglycerideselderlyestimated glomerular filtration ratehypertensioninsulin resistancetriglyceride-glucose-waist-to-height ratio

Identifiers

PMID42375333
PMCPMC13310771

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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.