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ORIGINAL RESEARCH

Association of Serum Uric Acid Level with Risk of Abdominal Aortic Calcification: A Large Cross-Sectional Study

ORCID Icon, , , , , , , , & show all
Pages 1825-1836 | Received 27 Jan 2023, Accepted 15 Apr 2023, Published online: 26 Apr 2023
 

Abstract

Objective

The association between serum uric acid (sUA) and incident abdominal aortic calcification (AAC), and severe abdominal aortic calcification (SAAC) in the general population of the United States (US) is unclear. Therefore, this research aimed to investigate the association between sUA and the risk of AAC and SAAC.

Methods

Individuals from National Health and Nutrition Examination Survey (NHANES) database were analyzed cross-sectionally between 2013 and 2014. The restricted cubic spline (RCS), multivariable logistic regression model and subgroup analysis were utilized to evaluate the correlation between sUA and incident AAC, and SAAC. In addition, generalized additive models with smooth functions were employed to survey the relationship between sUA and the degree of AAC.

Results

This study included 3016 individuals from the NHANES database. According to the RCS plot, sUA levels were associated with the risk of AAC/SAAC in a U-shaped pattern in the US population. The degree of calcification decreased at first and then increased with the increase in the sUA level.

Conclusion

Close monitoring and adequate control of sUA levels in the US general population may reduce the risk of AAC and SAAC.

Data Sharing Statement

The datasets for this study can be found at www.cdc.gov/nchs/nhanes/.

Acknowledgments

The authors thank the staff and the participants of NHANES study for their valuable contributions.

Disclosure

The authors have declared no conflicts of interest.

Additional information

Funding

This work was supported by the Shanghai Jinshan District Health Commission Project Fund (grant number: JSKJ-KTQN-2022-11), Shanghai University of Medical & Health Sciences Research Fund Project (grant number: SSF-23-25-002), and the Shanghai Jinshan District Medical and Health Science and Technology Innovation Fund Project (grant number: 2022-WS-61).