☆ 4.7 Article

Serum uric acid: A strong and independent predictor of metabolic syndrome after adjusting for body composition

METABOLISM-CLINICAL AND EXPERIMENTAL (2016)

Journal

METABOLISM-CLINICAL AND EXPERIMENTAL

Volume 65, Issue 4, Pages 432-440

Publisher

W B SAUNDERS CO-ELSEVIER INC

DOI: 10.1016/j.metabol.2015.11.003

Keywords

Serum uric acid; Metabolic syndrome; Body composition; Longitudinal study

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Abstract

Background. Some observational studies have suggested that serum uric acid (SUA) levels are one of the determinants of the metabolic syndrome (MetS). However, previous studies reported combined results for men and women after adjusting for sex and few studies take body composition into consideration. Therefore, we performed this sex-specific longitudinal study to investigate how baseline SUA levels influence incident MetS, including body composition as an adjusting factor in a large number of subjects. Methods. A total of 14,442 participants (8715 men and 5727 women) participating in a medical health check-up program without diagnosed MetS at baseline were enrolled. Separate analyses were performed for men and women including body composition as a confounding factor. Cox proportional hazards models were used to quantify independent associations between SUA levels and incident MetS. Results. During 63,940 person-years of follow-up, there were 4215 (2974 men, 1241 women) incident cases of MetS between 2006 and 2012. After adjustments for age, systolic BP, diastolic BP, BMI, eGFR, smoking status, TG, LDL-C, HDL-C, fasting glucose, and proportion of fat-free mass (100-fat mass, %), the hazard ratios (HR) [95% confidence interval (CI)] for incident MetS comparing the second, the third, and the fourth quartiles to the first quartile of SUA levels were 0.862 (0.770-0.965), 1.102 (0.991-1.225), and 1.246 (1.121-1.385) in men (p for trend < 0.001), and 1.045 (0.862-1.266), 1.251 (1.050-1.490), and 1.321 (1.109-1.574) in women (p for trend < 0.001), respectively. As a continuous variable, in fully-adjusted models, the HRs (95% CI) for incident MetS associated with each increase of 1 mg/dl of SUA levels were 1.094 (1.060-1.130) in men (p < 0.001) and 1.148 (1.072-1.228) in women (p < 0.001), respectively. Conclusion. We demonstrated that SUA levels are strong and independent predictors of MetS. This relationship remained significant after full adjustments for multiple associated confounders including body composition in both men and women. (C) 2016 Elsevier Inc. All rights reserved.

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Temporal changes in serum uric acid and risk for metabolic syndrome: a longitudinal cohort study

Xuan Feng, Yi Guo, Huakang Tu, Shu Li, Chen Chen, Mingxi Sun, Sicong Wang, Bohan Li, Xifeng Wu, Zhenya Song

Summary: This study found that higher baseline SUA levels and larger temporal increases in SUA are independently associated with an increased risk of MetS. This highlights the importance of longitudinal SUA monitoring and management for primary prevention of MetS in the general population.

DIABETOLOGY & METABOLIC SYNDROME (2022)