Evidence map›Paper›PMID 42840188›Full record

ArticleFrontiers in endocrinology2026

Uric acid-based nutritional and inflammatory biomarkers for predicting cardiovascular-kidney-metabolic syndrome and mortality: a population-based study with external validation.

Yi Deng, Miao Hu, Tianran Ren, Lin Qian, Yingying Xie, Song Wen, Ling Zhou

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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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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.

2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Yi Deng *Department of Nephrology, The First Affiliated Hospital of Soochow University, Suzhou, China.
Miao Hu *Department of Nephrology, The First Affiliated Hospital of Soochow University, Suzhou, China.
Tianran RenDepartment of Nephrology, The First Affiliated Hospital of Soochow University, Suzhou, China.
Lin QianDepartment of Nephrology, The First Affiliated Hospital of Soochow University, Suzhou, China.
Yingying XieDepartment of Nephrology, The First Affiliated Hospital of Soochow University, Suzhou, China.
Song WenDepartment of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Ling ZhouDepartment of Nephrology, The First Affiliated Hospital of Soochow University, Suzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Uric acid-to-HDL cholesterol ratio (UHR) and uric acid-to-albumin ratio (UAR) are emerging composite biomarkers of nutrition and metabolic inflammation. This study investigates and compares their associations with advanced cardiovascular-kidney-metabolic (CKM) syndrome and all-cause mortality. Methods: This cross-sectional study included 17,833 adults from NHANES 2001-2020, with external validation in a clinical cohort of 300 hospitalized patients. Weighted logistic regression, restricted cubic spline (RCS), ROC curve, and Cox regression analyses were performed. Results: Both UHR and UAR were significantly elevated in patients with advanced CKM syndrome (both P < 0.001) and independently associated with increased CKM risk (UHR: OR = 1.07, 95%CI: 1.06-1.09; UAR: OR = 1.08, 95%CI: 1.06-1.10). Nonlinear associations were observed for both biomarkers, with inflection points at 9.46 for UHR and 15.79 for UAR (both P for nonlinear < 0.001). In ROC analysis, UAR slightly outperformed UHR in the NHANES cohort (AUC: 0.640 vs. 0.602), whereas UHR showed superior performance in the clinical cohort (AUC: 0.787 vs. 0.686). Both biomarkers remained independently associated with all-cause mortality after full adjustment. Conclusion: UHR and UAR are independently associated with advanced CKM syndrome and have complementary clinical utility. UAR may be preferred for early screening, whereas UHR may be better suited for CKM diagnosis and metabolic risk stratification. Their combined use may facilitate prognosis evaluation and mortality risk warning.

Indexed as

BiomarkersCardio-Renal SyndromeInflammationMetabolic SyndromeNutritional StatusUric AcidAdultAgedCholesterol, HDLCross-Sectional StudiesFemaleHumansMaleMiddle AgedNutrition SurveysPrognosisBiomarkersCholesterol, HDLUric Acidcardiovascular-kidney-metabolic syndrome (CKM)InflammationNHANESnutritionuric acid-to-albumin ratio (UAR)Uric acid-to-high-density lipoprotein cholesterol ratio (UHR)

Identifiers

PMID42840188
PMCPMC13638566

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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.