• Trend Analysis of Gout Burden in China from 1990 to 2019 and Prediction for the Next Ten Years

    Subjects: Medicine, Pharmacy >> Clinical Medicine submitted time 2023-09-13 Cooperative journals: 《中国全科医学》

    Abstract: Background Gout is the most common inflammatory arthritis,which causes great harm to people's health,however,there are limited studies on the trend analysis and prediction of gout burden in China. Objective To analyze the changing trend of gout in China from 1990 to 2019,and predict the standardized DALYs rate,incidence rate and prevalence rate of gout in the next 10 years. Methods The indicators of disability-adjusted life years(DALYs),incidence,and prevalence of gout in China were extracted from the Global Burden of Disease Study(GBD2019),the annual percentage change (APC) and annual average percentage change(AAPC) of the age-standardized DALYs rate,age-standardized incidence rate and age-standardized prevalence rate were calculated using the Joinpoint regression model,autoregressive integrated moving average model(ARIMA model) was used to predict the the age-standardized DALYs rate,age-standardized incidence rate and age-standardized prevalence rate in 2020-2029. Results In 1990-2019,the DALYs of gout in China increased from 187 436 to 510 485 person-years,with an increase of 172.35%,the number of cases increased from 1 181 969 to 3 0411 329,with an increase of 157.31%,the number of patients increased from 5 864 143 to 16 161 325,with an increase of 175.60%(the corresponding standardized rates increased by 28.45%,25.92% and 28.63%,respectively). Joinpoint regression results showed an overall increasing trend in the age-standardized DALYs rate,age-standardized incidence rate and age-standardized prevalence rate(AAPC was 0.9%,0.8%,0.9%,respectively,P<0.05) from 1990 to 2019. The gout burden had significant gender and age differences,with men having a higher burden than women,and the range of the male-to-female gender ratios for the standardized DALYs rate,standardized incidence rate,and standardized prevalence rate was 3.23 to 3.51,3.14 to 3.40,and 3.17 to 3.42,respectively. The age peaks for each indicator were generally delayed in females compared to males,the burden began to increase in females after 45 years of age,and the burden increased again after 90 years of age for both males and females. The ARIMA model results showed that the age-standardized DALYs rate and age-standardized incidence rate due to gout are projected to decrease by 0.33% and 0.45%,respectively,and the age-standardized prevalence rate to increase by 0.71% by 2029. Conclusion From 1990 to 2019,the gout burden in China showed an obvious increasing trend,with significant gender and age differences,and a trend of younger age. The age-standardized prevalence rate due to gout is expected to increase slightly by 2029.
     

  • Correlation between Serum Uric Acid to High-density Lipoprotein Cholesterol Ratio and Metabolic Syndrome in Middle-aged and Elderly Population in China

    Subjects: Medicine, Pharmacy >> Preventive Medicine and Hygienics submitted time 2023-08-17 Cooperative journals: 《中国全科医学》

    Abstract: Background  The prevalence of metabolic syndrome(MS)among the middle-aged and elderly population in China increases with age,serum uric acid to high density lipoprotein cholesterol ratio(UHR)is closely associated with various metabolic diseases,however,there are few studies on the relationship between UHR and MS in middle-aged and elderly people. Objective  To explore the correlation between UHR and MS in middle-aged and elderly people in China,and evaluate the predictive value of UHR for MS. Methods  This study used public data from the 2015 China Health and Retirement Longitudinal Survey(CHARLS)and included 9 233 subjects. General data,physical examination indexes and blood biochemical examination indexes were collected from the study subjects and their UHR was calculated. The subjects were divided into the non-MS group(n=7 006)and MS group(n=2 227)according to whether they had MS. At the same time,the subjects were divided into the Q1 group(UHR ≤ 7.32%,n=2 308),Q2 group(7.32%12.20%,n=2 308)according to the level of the quartiles of UHR. Pearson correlation analysis was used to explore the correlation between UHR and metabolic indexes. The relationship between UHR and MS was studied by multivariate Logistic regression analysis. The receiver operating characteristic(ROC)curves for the risk of MS predicted by UHR in the overall and by different genders were plotted separately and the areas under the ROC curve(AUC)were calculated. Results  The proportion of females,age,urban household proportion,history of hypertension,diabetes and dyslipidemia,proportion of taking lipid-lowering drugs,glycated hemoglobin,C-reactive protein,triglyceride(TG),total cholesterol(TC),fasting plasma glucose(FPG),SUA,systolic blood pressure(SBP),diastolic blood pressure(DBP),BMI,waist circumference(WC)and UHR in the MS group were higher than the non-MS group,while HDL-C,low-density lipoprotein cholesterol(LDL-C)and estimated glomerular filtration rate(eGFR)were lower than those in the non-MS group,and there were statistically significant differences in education level,smoking and alcohol consumption between the two groups (P<0.05). With the increase of UHR level,the detection rates of MS,central obesity,hyperglycemia,hypertension,hypertriglyceridemia and low HDL-C in Q1-Q4 groups showed an increasing trend(Ptrend<0.01). There were significant differences in BMI,WC,SBP,DBP,TG,HDL-C,LDL-C,TC,FPG,eGFR and C-reactive protein among Q1-Q4 groups(P<0.01). The results of Pearson correlation analysis showed that UHR was positively correlated with TG,FPG,DBP,SBP,BMI and WC(P<0.01),and negatively correlated with HDL-C(P<0.01). After gender stratification,UHR in males and females were positively correlated with TG,FPG,DBP,SBP,BMI and WC(P<0.01),and negatively correlated with HDL-C(P<0.01). Multivariate Logistic regression analysis showed that compared with the Q1 group,there was an increased risk of MS prevalence in the male Q4 group〔OR=3.385,95%CI=(1.778-6.444),P<0.01〕and female Q4 group〔OR=2.886,95%CI=(1.991-4.184),P<0.01〕. ROC curve analysis showed that the AUC for UHR predicting MS for the study population was 0.735〔95%CI(0.723-0.746)〕,the AUC for UHR predicting MS for male group was 0.773〔95%CI(0.757-0.790)〕. the AUC for UHR predicting MS for female group was 0.750〔95%CI(0.735-0.766)〕. Conclusion  There was a positive correlation between the increased UHR level and risk of MS among the middle-aged and elderly population in China,UHR closely correlates to MS and its components,UHR might serve as a risk factor and demonstrated good predictive value for MS in middle-aged and elderly people.