Background: Hyperuricemia (HUA) is a metabolic disease caused by a disorder of purine metabolism, which increases the risk of cardio-cerebrovascular disease. Serum lipids and blood glucose are risk factors for metabolic syndrome. Thus, this study aimed to assess the prevalence of HUA and its relationship with serum lipids and blood glucose.
Methods: A total of 59,074 cases (32,623 males and 26,451 females) from three hospitals in Lanzhou city from January 2015 to December 2018 were grouped according to serum uric acid (SUA) level to analyze the differences in age, total cholesterol (TC), triacylglycerol (TG), low density lipoprotein (LDL), high density lipoprotein (HDL), fasting blood glucose (FBG), creatinine (Cr), and blood urea nitrogen (BUN). The changes of prevalence of HUA among different age and gender groups was analyzed. Pearson’s correlation analysis was used to analyze the correlation of SUA level with clinical indicators. The risk factors of HUA were analyzed by using binary logistic regression analysis. ROC curve was used to analyze the independent risk factors of elevated SUA.
Results: The overall prevalence rate of HUA was 19.87% and the prevalence rate of males was significantly higher than that of females (28.35% vs. 9.41%, χ2 = 3,289.143, p < 0.01). The prevalence rates of HUA from 2015 - 2018 were 19.54%, 19.31%, 18.64%, and 21.81%, respectively. Compared with the normal SUA group, TC, TG, and LDL significantly increased in the HUA group. The correlation analysis showed that SUA was negatively correlated with gender and HDL, and positively correlated with age, FBG, TC, TG, and LDL. The logistic regression analysis revealed that TG, TC, and LDL were risk factors for HUA. The ROC curve analysis showed that the risk of HUA significantly increased when TG was above 1.645 mmol/L.
Conclusions: The overall prevalence of HUA in physical examination population has generally been at a high level in the past 4 years. Serum lipids and blood glucose may be independent risk factors for predicting HUA.