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| Content Provider | Springer Nature : BioMed Central |
|---|---|
| Author | Shahbazi, Fatemeh Doosti-Irani, Amin Soltanian, Alireza Poorolajal, Jalal |
| Abstract | Background Chronic kidney disease (CKD) is an important public health problem worldwide; therefore, forecasting CKD mortality rates and death numbers globally is vital for planning CKD prevention programs. This study aimed to characterize the temporal trends in CKD mortality at the international level from 1990 to 2019 and predict CKD mortality rates and numbers until 2030. Methods Data were obtained from the Global Burden of Disease 2019 Study. A joinpoint regression model was used to estimate the average annual percentage change in CKD mortality rates and numbers. Finally, we used a generalized additive model to predict CKD mortality through 2030. Results The number of CKD-related deaths worldwide increased from 591.80 thousand in 1990 to 1425.67 thousand in 2019. The CKD age-adjusted mortality rate increased from 15.95 per 100,000 people to 18.35 per 100,000 people during the same period. Between 2020 and 2030, the number of CKD deaths is forecasted to increase further to 1812.85 thousand by 2030. The CKD age-adjusted mortality rate is expected to decrease slightly to 17.76 per 100,000 people (95% credible interval (CrI): 13.84 to 21.68). Globally, it is predicted that in the next decade, the CKD mortality rate will decrease in men, women, all subgroups of disease etiology except glomerulonephritis, people younger than 40 years old, and all groupings of countries based on the sociodemographic index (SDI) except high-middle-SDI countries. Conclusions The CKD mortality rate is predicted to decrease in the next decade. However, more attention should be given to people with glomerulonephritis, people over 40 years old, and people in high- to middle-income countries because the mortality rate due to CKD in these subgroups is expected to increase until 2030. |
| Related Links | https://bmcnephrol.biomedcentral.com/counter/pdf/10.1186/s12882-024-03720-w.pdf |
| Ending Page | 11 |
| Page Count | 11 |
| Starting Page | 1 |
| File Format | HTM / HTML |
| ISSN | 14712369 |
| DOI | 10.1186/s12882-024-03720-w |
| Journal | BMC Nephrology |
| Issue Number | 1 |
| Volume Number | 25 |
| Language | English |
| Publisher | BioMed Central |
| Publisher Date | 2024-09-02 |
| Access Restriction | Open |
| Subject Keyword | Nephrology Internal Medicine Chronic kidney disease Mortality Prediction Temporal trend Modeling study |
| Content Type | Text |
| Resource Type | Article |
| Subject | Nephrology |
| Journal Impact Factor | 2.2/2023 |
| 5-Year Journal Impact Factor | 2.6/2023 |
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