Trend analysis of the burden of thalassemia in China from 1990 to 2019
Objective To analyze the trends in the incidence,prevalence,mortality,and disease burden of thalassemia in Chi-na from 1990 to 2019,providing a reference for further disease prevention and control.Methods Data related to the inci-dence,prevalence,mortality,and Disability-Adjusted Life Years(DALYs)of thalassemia in China were extracted from the Global Burden of Disease Study(GBD)2019 database.The Join point regression model was utilized to analyze the annual percentage change(APC)and average annual percentage change(AAPC)of the age-standardized incidence rate,prevalence rate,mortality rate,and DALYs rate.Results From 1990 to 2019,the number of new thalassemia cases in China decreased from 100 686 to 60 132,with the age-standardized incidence rate declining by 3.88％(AAPC=-0.60％).The number of deaths fell from 6 776 per year to 2 191 per year,leading to a 69.68％reduction in the age-standardized mortality rate(AAPC=-4.04％).DALYs decreased from 541 696 per year to 141 284 per year,with a 71.10％reduction in the age-stan-dardized DALYs rate(AAPC=-4.90％,P＜0.05).The number of individuals with thalassemia decreased from 684 066 to 642042,although the age-standardized prevalence rate increased by 19.15％(AAPC=0.58％,P＜0.05).Between 1990 and 2019,the disease burden of thalassemia for both males and females showed a declining trend,but the incidence and prevalence rates remained consistently higher in females compared to males,with the male-to-female ratios for age-standardized inci-dence rate,prevalence rate,DALYs rate,and mortality rate ranging from 0.76 to 0.78,0.77 to 0.80,0.94 to 1.07,and 0.97 to 1.12,respectively.The highest mortality and DALYs rates for thalassemia were observed in the age group under 5 years with a notable decline in the 5-to-9-year age group followed by stabilization.Over the last two decades,the mortality and DALYs rates gradually shifted towards older age groups.Conclusion The burden of thalassemia in China has alleviated from 1990 to 2019,exhibiting gender and age disparities,along with a trend towards an aging population.
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NSTL
万方数据
