Associaton of Retinol Binding Protein 4 (RBP4) Levels With Hyperuricemia: A Cross-Sectional Study in a Chinese Population

被引:1
作者
Hong, Guo-bao [1 ,2 ]
Shao, Xiao-fei [3 ]
Li, Jia-min [2 ]
Zhou, Qin [3 ]
Ke, Xiao-Su [4 ]
Gao, Pei-Chun [5 ]
Li, Xiao-Lin [6 ]
Ning, Jing [6 ]
Chen, Hai-Shan [3 ]
Xiao, Hua [3 ]
Xiong, Chong-Xiang [7 ]
Zou, Hequn [6 ]
机构
[1] Jinan Univ, Dept Nephrol, Affiliated Shunde Hosp, Foshan, Peoples R China
[2] Nanhai Distr Peoples Hosp Foshan, Dept Nephrol, Foshan, Peoples R China
[3] Southern Med Univ, Inst Nephrol & Urol, Dept Nephrol, Affiliated Hosp 3, Guangzhou, Peoples R China
[4] Guangdong Elect Power Hosp, Dept Nephrol, Guangzhou, Peoples R China
[5] Nanjing CR Medicon Pharmaceut Technol Co Ltd, Nanjing, Peoples R China
[6] Shenzhen Univ, Dept Nephrol, South China Hosp, Shenzhen, Peoples R China
[7] Guangdong Med Univ, Dept Nephrol, Affiliated Dongguan 1, Dongguan, Peoples R China
来源
FRONTIERS IN ENDOCRINOLOGY | 2022年 / 13卷
关键词
retinol binding protein; hyperuricemia; prediction; cross-sectional survey; risk; CHRONIC KIDNEY-DISEASE; METABOLIC SYNDROME; INSULIN-RESISTANCE; URIC-ACID; PREVALENCE; OBESITY;
D O I
10.3389/fendo.2022.879755
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
BackgroundThere are few studies on predictive biomarkers for hyperuricemia, and the predictive value of these biomarkers tends to be poor. Additionally, no reports have described the predictive value of retinol binding protein 4 (RBP4) for hyperuricemia. PurposeThis study was performed to evaluate the value of RBP4 for predicting the risk of hyperuricemia in a general population, determine whether RBP4 could be used alone or in combination with other factors to predict the risk of hyperuricemia in the general population, and establish an optimum predictive model. MethodsWe conducted a population-based cross-sectional survey in 2018, involving a questionnaire, physical examination, and laboratory testing. We enrolled 2303 individuals by stratified random sampling, and 2075 were included in the data analysis after applying the eligibility criteria. ResultsSerum RBP4 level had a highly significant association with hyperuricemia (P<0.001). After adjusting for potential confounders, logistic regression indicated that the risk of hyperuricemia was highest in the highest RBP4 quartile (odds ratio: 7.9, 95% confidence interval [CI]: 4.18-14.84, compared to the lowest quartile). The area under the receiver operating characteristic (ROC) curve (AUC) for RBP4 was 0.749 (95% CI: 0.725-0.774, P<0.001), which was higher than that for all the other predictors assessed. The optimum model for predicting hyperuricemia in the general population consisted of RBP4, sex (male), body mass index, serum creatinine, high-sensitivity C-reactive protein, fasting blood glucose, insulin, and alcohol consumption. The AUC was 0.804 (95% CI: 0.782-0.826, P<0.001). ConclusionsRBP4 is strongly associated with hyperuricemia, and its predictive value was higher than that of traditional predictors.
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页数:8
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