Assesses uric acid-to-HDL cholesterol ratio and hepatic steatosis in nonobese adults, indicating its potential as a risk assessment tool.
Background: Although metabolic dysfunction-associated steatotic liver disease (MASLD) has traditionally been regarded as a disease closely related to obesity, its prevalence is gradually rising in nonobese populations. The uric acid-to-high-density lipoprotein cholesterol ratio (UHR) is a novel metabolic biomarker that has been shown to be associated with MASLD. However, its role in nonobese individuals remains unclear. This study aimed to investigate the association between UHR and nonobese MASLD. Methods: Data from the 2017 to 2020 National Health and Nutrition Examination Survey (NHANES) were analyzed. UHR was calculated as the serum uric acid (UA) divided by the high-density lipoprotein cholesterol (HDL). Liver steatosis (using controlled attenuation parameters, CAP) and fibrosis (using liver stiffness measurement, LSM) were evaluated through vibration-controlled transient elastography (VCTE). Multivariate linear regression was employed to evaluate associations. Nonlinear relationships were examined using smoothed curve fitting. Results: This analysis included 3573 participants (47.41% male; aged 20–80 years). Log 2 -UHR was positively associated with CAP (β = 9.96, 95% CI: 6.93–12.98, P < 0.001) and MASLD prevalence (OR = 1.64, 95% CI: 1.38–1.95, P < 0.001). Subgroup analyses revealed significant interactions by sex, age, ethnicity, and smoking status (all P for interaction < 0.05), with stronger associations in females, adults aged 40–59 years, individuals of other Hispanic ethnicity, and never-smokers. Moreover, the association between log 2 -UHR and CAP was linear and positive ( P < 0.01). No significant association was found between log 2 -UHR and LSM ( P > 0.05). Conclusions: UHR is independently associated with hepatic steatosis but not fibrosis in nonobese US adults, suggesting its potential utility as an early risk assessment to tool. Large scale prospective studies are needed in the future to further validate the conclusions of this study.
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