Evidence map›Paper›PMID 42909769›Full record

ArticleClinical rheumatology2026

UACR as a clinical predictor of incident osteoarthritis: prospective evidence from the UK Biobank.

Yanling Huang, Jiping Shen, Rulian Liang, Jinyuan Zhao, Wenjun Lin, Xianfeng Wu

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Article in Clinical rheumatology, 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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5 · Who and what money

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6 authors.

Yanling Huang *Department of Nephrology and Rheumatology, Shanghai Eighth People's Hospital, Shanghai, China.ORCID http://orcid.org/0009-0007-8567-8003
Jiping Shen *Department of Geriatrics, Zhongshan Hospital, Fudan University, Shanghai, China.
Rulian LiangDepartment of Nephrology and Rheumatology, Shanghai Eighth People's Hospital, Shanghai, China.
Jinyuan ZhaoDepartment of Nephrology and Rheumatology, Shanghai Eighth People's Hospital, Shanghai, China.
Wenjun LinDepartment of Nephrology, Shanghai Sixth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200233, China. linwenjun5@126.com.
Xianfeng WuDepartment of Nephrology, Shanghai Ruijin Hospital, Shanghai Jiao Tong University, School of Medicine and Institute of Nephrology, Shanghai Jiao Tong University, School of Medicine, Shanghai, China. xianfengwu2@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOsteoarthritis (OA) is a common joint disorder causing disability, marked by pain and stiffness, with current therapies only relieving symptoms. This highlights the need for early biomarkers. The urinary albumin-to-creatinine ratio (UACR) is an indicator of renal dysfunction and systemic inflammation, while OA is also closely associated with inflammatory processes. However, the direct relationship between UACR and OA risk remains unclear. We investigated the prospective association between UACR and incident OA.

methodsWe analyzed data from 445,860 UK Biobank participants without OA, measuring UACR from urine samples and classifying it into normo- (< 30 mg/g), micro- (30 to 300 mg/g), and macroalbuminuria (> 300 mg/g). Incident OA was identified from medical records, and Cox models adjusted for various factors estimated hazard ratios and confidence intervals, with dose-response relationships assessed using cubic splines and further characterized by Kaplan-Meier curves and subgroup analyses.

resultsA median follow-up of nearly 18 years revealed a significant, dose-dependent link between UACR and OA, with HRs of 1.11 for microalbuminuria and 1.20 for macroalbuminuria compared to normo-albuminuria. A nonlinear, J-shaped relationship was observed, with OA risk increasing sharply after UACR exceeded approximately 25 mg/g-a threshold that aligns with the upper limit of mild microalbuminuria and may represent an early stage of subclinical vascular dysfunction. These findings were supported by Kaplan-Meier curves showing progressively higher OA incidence with rising UACR (log-rank P < 0.0001). This association was consistent across subgroups and highest in non-obese individuals (HR = 1.52 for UACR > 300 mg/g).

conclusionElevated UACR is linked to increased OA in a nonlinear manner, remaining significant after adjustments, suggests that UACR, as a marker of systemic microvascular and endothelial health, could help identify individuals at higher risk for OA, potentially enabling earlier and more targeted preventive interventions. Key Points • Elevated urinary albumin-to-creatinine ratio (UACR) is independently associated with higher risk of incident osteoarthritis (OA) in a large population-based cohort. • The association follows a nonlinear dose-response pattern, with OA risk rising sharply after UACR exceeds 25 mg/g. • The predictive link between UACR and OA remains consistent across subgroups and is strongest in non-obese individuals. • UACR may serve as a novel, readily available biomarker for identifying individuals at increased OA risk(especially in lean non-obese individuals),and parallel increases in 18-year allcause mortality provide epidemiological evidence linking systemic endothelial damage to joint degeneration.

Indexed as

BiomarkersEndothelial dysfunctionOsteoarthritisSystemic inflammationUK BiobankUrine albumin-to-creatinine ratio

Identifiers

PMID42909769

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