[Correlation analysis between serum uric acid/creatinine ratio and skeletal muscle mass index in patients with lumbar spine diseases].

OBJECTIVE

To explore the correlation between the serum uric acid/creatinine ratio(SUA/Cr) and skeletal muscle mass index (SMI) in patients with lumbar spine diseases.

METHODS

A total of 101 inpatients with lumbar spine diseases admitted from September 2023 to September 2024 were selected. The clinical data and laboratory test results of the patients were collected. Dual-energy X-ray absorptiometry(DXA) was used to measure bone mineral density(BMD),SMI,and body mass index (BMI). According to the diagnostic criteria of the Asian Working Group for Sarcopenia (AWGS) 2019,the patients were divided into the low SMI group (51 cases) and the normal SMI group (50 cases). Clinical data were compared between the two groups. Spearman correlation analysis was used to study the correlation between SMI and related variables,and multivariate Logistic regression analysis was used to identify the influencing factors of SMI.

RESULTS

Univariate analysis of variance showed that there were statistically significant differences between the two groups in BMI,total body bone mineral density (TBMD),hemoglobin(HB),serum uric acid(UA),high-density lipoprotein cholesterol(HDL-C),and SUA/Cr(all P<0.05). Spearman correlation analysis was performed between SMI and the indicators with P<0.05 in the inter-group comparison. The results showed that in both the low SMI group and the normal SMI group,SMI was positively correlated with BMI,total bone mineral density (TBMD),HB,UA,and SUA/Cr (all P<0.05),and negatively correlated with HDL-C. The direction of correlation between SMI and each indicator was consistent in the two groups. Taking the presence of low SMI (low SMI=1,normal SMI=0) as the dependent variable,and the indicators with statistically significant correlation(P<0.05) as independent variables,multivariate Logistic regression analysis was conducted. Although there were differences in baseline characteristics between the two groups,the direction of correlation between SMI and each indicator was consistent in the correlation analysis. Therefore,the total sample size(n=101) was used for the Logistic analysis. The forward regression method was used to evaluate the regression equation,and a regression model with BMI,TBMD,HDL-C,and SUA/Cr as independent variables was obtained. The analysis showed that BMI,TBMD,HDL-C,and SUA/Cr were independent influencing factors of SMI.

CONCLUSION

Low SUA/Cr is a risk factor for low SMI in patients with lumbar spine diseases. For patients with lumbar spine diseases and low SUA/Cr,screening for sarcopenia should be emphasized.