Correlation between serum uric acid and creatinine ratio and metabolic syndrome based on physical examination population in Nantong area.
10.3760/cma.j.cn112150-20220617-00620
- VernacularTitle:南通地区体检人群血清尿酸/肌酐比值与代谢综合征的相关性研究
- Author:
Fang BAO
1
;
Ying WANG
2
;
Shao Qing JU
1
;
Wen Jie SUN
2
;
Yan Hui LI
2
;
Yun Cheng ZHANG
2
;
Xiao Ye SUN
3
;
Chen JIANG
3
;
Hui CONG
1
Author Information
1. Department of Laboratory Medicine, Affiliated Hospital of Nantong University, Nantong 226001, China.
2. School of Public Health, Nantong University, Nantong 226019, China.
3. Department of Blood Transfusion, Affiliated Hospital of Nantong University, Nantong 226001, China.
- Publication Type:Journal Article
- MeSH:
Humans;
Metabolic Syndrome/epidemiology*;
Creatinine;
Uric Acid;
Cross-Sectional Studies;
Physical Examination;
Risk Factors
- From:
Chinese Journal of Preventive Medicine
2022;56(11):1630-1635
- CountryChina
- Language:Chinese
-
Abstract:
To investigate the relationship between serum uric acid to creatinine ratio (SUA/Cr) and metabolic syndrome (MS) and other indexes on physical examination population in Nantong area. Using the method of cross-sectional study, 8 148 physical examiners in the physical examination center of the Affiliated Hospital of Nantong University from January 2017 to April 2020 were used as the research objects, and the clinical data and serum biochemical indicators such as smoking and alcohol addiction, physical examination and so on were collected. According to the standard diagnosis of MS of Diabetes Society of Chinese Medical Association, the patients were grouped according to the quartile of SUA/Cr and the clinical data of each group were compared. Pearson correlation analysis and logistic regression analysis were used to explore the correlation between SUA/Cr and clinical indicators and the relationship between SUA/Cr and the risk of MS. The results showed that UA and SUA/Cr were the lowest in normal metabolism group, followed by abnormal metabolism group and the highest in MS group, The difference between the two groups was statistically significant (H=919.21 and 629.34, P<0.001). According to the SUA/Cr quartile, the population was divided into four groups. After adjusting for gender, age, smoking history and drinking history, SUA/Cr in group Q1 was positively correlated with BMI and TG (r=0.061 and 0.080, P<0.05), but negatively correlated with HDL-C (r=-0.057, P<0.05). Multivariate logistic regression results showed that after adjusting for age, sex, smoking history and drinking history, the risk of MS for BMI, SBP, DBP, FBG, TG, HDL-C and SUA/Cr [OR (95%CI)] were: 1.44 (1.41-1.47), 1.07 (1.06-1.07), 1.10 (1.10-1.11), 1.83 (1.73-1.92), 1.89 (1.79-1.99), 0.08 (0.06-0.10) and 1.54 (1.47-1.62). Compared with SUA/Cr group Q1, the risk of MS in group Q2, Q3 and Q4 increased by 75%, 162% and 346%, respectively. In conclusion, there was an independent positive correlation between SUA/Cr and MS risk in Nantong area.
