Background: This study aimed to characterize the temporal trends of chronic kidney disease (CKD) burden in China during 1990-2019, evaluate their age, period and cohort effects, and predict the disease burden for the next 10 years.
Methods: Data were obtained from the Global Burden of Disease (GBD) 2019 study. Join-point regression model was used to estimate the average annual percentage change (AAPC) of CKD prevalence and mortality, and the age-period-cohort analysis was used to estimate the age, period and cohort effects. We extended the autoregressive integrated moving average (ARIMA) model to predict the disease burden of CKD in 2020-2029.
Results: In 2019, there were 150.5 million cases of (10.6%) and 196 726 deaths from (13.8 per 100 000 general population) CKD in China. Between 1990 and 2019, the prevalence and mortality rate of CKD increased significantly from 6.7% to 10.6%, and from 8.3/100 000 to 13.8/100 000. The AAPC was estimated as 1.6% and 1.8%, respectively. Females had a higher CKD prevalence of CKD but a lower mortality rate. Setting the mean level of age, period and cohort as reference groups, the risk of developing CKD increased with age [RR = 0.18 to RR = 2.45]. The cohort risk was significantly higher in the early birth cohort [RR = 1.56]. In contrast, the increase in age-specific CKD mortality rate after 60-64 years was exponential [RR = 1.24]. The cohort-based mortality risk remained high prior to the 1945-1949 birth cohorts (RR ranging from 1.69 to 1.89) and then declined in the 2000-2004 birth cohort [RR = 0.22]. The CKD prevalence and mortality are projected to rise to 11.7% and 17.1 per 100 000, respectively, by 2029.
Conclusions: To reduce the disease burden of CKD, a comprehensive strategy that includes risk factors prevention at the primary care level, CKD screening among the elderly and high-risk population, and access to high-quality medical services is required.
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9900593 | PMC |
http://dx.doi.org/10.1093/ckj/sfac218 | DOI Listing |
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