Uric acid-based nutritional and inflammatory biomarkers for predicting cardiovascular-kidney-metabolic syndrome and mortality: a population-based study with external validation
- Journal
- Frontiers in endocrinology (Q1)
- Published
- 22 September 2026
- Study design
- Cross-sectional study
- Evidence level
- Level 3, Low (CEBM 3b)
- Authors
- Yi Deng, Miao Hu, Tianran Ren, Lin Qian, Yingying Xie, Song Wen, et al.
- PMID
- 42840188
- DOI
- 10.3389/fendo.2026.1937815
Why clinicians should know about it
- Picked for Biochemistry (medical) (paper of the day, 13 October 2026): Uric‑acid based composite biomarkers for CKM risk
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.
Abstract as published, via PubMed.
For healthcare professionals. The summary is generated by AI from the published abstract, and the evidence level is assigned automatically from the study design on the Oxford CEBM hierarchy. Neither is medical advice. Read the full paper before changing practice.