Development and validation of a uric acid-inflammation-metabolism score for predicting osteoarthritis risk: evidence from NHANES 2007–2018 and an external Chinese cohort - Report - MDSpire

Development and validation of a uric acid-inflammation-metabolism score for predicting osteoarthritis risk: evidence from NHANES 2007–2018 and an external Chinese cohort

  • By

  • Chengyin Lu

  • Zhe Yang

  • Yongqin Ji

  • Zhuoyue Song

  • Liwei Wei

  • Xiaohui Wang

  • June 18, 2026

  • 0 min

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Clinical Report: Uric Acid-Inflammation-Metabolism Score for Osteoarthritis

Overview

Expand on the integration process of uric acid metabolism, inflammation, and metabolic disturbance.

Background

Osteoarthritis (OA) is a leading cause of disability, affecting over 528 million people globally. Current diagnostic tools often fail to identify OA until significant joint damage has occurred, highlighting the need for effective risk assessment methods. The UIM score aims to address this gap by combining multiple biological dimensions associated with OA pathogenesis.

Data Highlights

VariableContribution to UIM Score
Uric Acid70.50%
Metabolic Disturbance26.92%
Inflammation2.58%

Key Findings

  • The UIM score was developed using data from NHANES 2007–2018 and validated in a cohort from Anhui Provincial Hospital.
  • Participants in the highest quartile of the UIM score had a 2.63-fold increased risk of OA compared to those in the lowest quartile.
  • The UIM score achieved an area under the curve (AUC) of 0.707, indicating good predictive performance.
  • A significant J-shaped nonlinear relationship was observed between UIM score and OA risk.
  • High inflammation and high metabolic disturbance exhibited a significant additive antagonistic interaction.
  • External validation confirmed the robustness and generalizability of the UIM score across different populations.

Clinical Implications

The UIM score provides a practical tool for clinicians to stratify OA risk based on metabolic and inflammatory factors. Incorporating this score into clinical practice may enhance early identification and intervention strategies for patients at risk of OA.

Conclusion

The UIM score represents a significant advancement in OA risk prediction, integrating multiple biological dimensions to improve clinical assessment and management of osteoarthritis.

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  9. Association between serum high-sensitivity C-reactive protein levels and osteoarthritis in adults from NHANES 2015 to 2018 | Scientific Reports
  10. The association between the uric acid-to-high-density lipoprotein cholesterol ratio and osteoarthritis risk in U.S. adults: a cross-sectional study based on NHANES 1999–2016 | Lipids in Health and Disease | Springer Nature Link

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