Analysis of correlated factors of hyperuricemia based on propensity score matching

Abstract

Objective \nTo analyze the prevalence and related factors of hyperuricemia in the inland rural areas of northern China, so as to provide a basis for understanding the risk factors of hyperuricemia. \n \n \nMethods \nThe data were obtained from a population of the Handan Eye Study (HES), by means of stratified, clustered, and probability proportional sampling methods to extract the respondents. Questionnaires, physical examination, and laboratory tests of blood and urine were conducted. The population was divided into two groups according to serum uric acid level: the hyperuricemia group and the normouricemia group. The propensity score matching module in the SPSS22.0 software was applied for propensity score matching analysis. \n \n \nResults \nThe overall prevalence of hyperuricemia in this population was 2.51%(95/3 785), with 2.75%(47/1 711) in the male and 2.31%(48/2 074) in the female, respectively. The age, prevalence of hypertension, prevalence of diabetes mellitus, body mass index (BMI), waist-to-hip ratio (WHR), serum C reactive protein (CRP), serum total cholesterol (TCH), low density lipoprotein cholesterol (LDL-C), triglyceride (TG), and brachial-ankle pulse wave velocity (baPWV) were significantly higher in the hyperuricemia group than in the normouricemia group. The cigarette smoking rate and serum high density lipoprotein cholesterol (HDL-C) were significantly lower in the hyperuricemia group than in the normouricemia group. Logistic multiple regression analysis showed that male gender, increased BMI, increased CRP, non-smoking, and decreased eGFR were independently associated with hyperuricemia. The propensity score matching analysis showed that male gender, hypertension, diabetes mellitus, non-smoking, alcohol drinking, increased BMI, increased WHR, decreased eGFR, and increased urine albumin/creatinin ratio (ACR) were influence factors of hyperuricemia. \n \n \nConclusion \nThe results of the present study indicated that male gender, hypertension, diabetes mellitus, alcohol drinking, obesity, increased albuminuria, and decreased renal function were related factors to hyperuricemia. \n \n \nKey words: \nHyperuricemia;\xa0Prevalence;\xa0Risk factors