Trends in 10th Revision of the International Classification of Diseases–Coded CKD Incidence Among Chinese Adults
Introduction: Chronic kidney disease (CKD) is a growing public health concern, yet evidence on its incidence is limited in China. Methods: Using data from the China Kadoorie Biobank (CKB), which recruited 512,723 participants aged 30 to 79 years from 10 areas across China, we analyzed 5 major CKD subtypes: diabetic kidney disease (DKD), hypertensive nephropathy (HTN), glomerulonephritis (GN), chronic tubulointerstitial nephritis (CTIN), and obstructive nephropathy (ON). Total CKD included the aforementioned subtypes, CKD due to other reasons, or chronic kidney failure. Outcomes were ascertained through linkages to local death and disease registries and health insurance databases until December 31, 2018. Poisson regression model was used to assess secular trends and population variations. Results: Over a mean of 9.5 years of follow-up, 5662 total CKD cases were identified. The crude incidence rate (per 100,000 person-years) of total CKD was 119.7 (95% confidence interval: 116.6-122.8) between 2009 and 2018, with an annual increase of 8.9% (7.9%-10.0%) after adjusting for age, sex, and study area. The crude incidence rates were highest in GN, whereas biggest increases were observed in ON, DKD, and HTN. Total CKD incidence rate was similar between urban and rural areas; however, those of different subtypes varied: DKD or CTIN were higher in urban areas, and ON was significantly higher in rural areas. Males, older adults, and participants with hypertension or diabetes mellitus were at higher risks. Conclusion: Despite the underestimation of CKD incidence because of outcome ascertainment methods, the incidence of total CKD and its subtypes increased in the CKB population during 2009 to 2018. Measures should be taken against major driving factors, such as diabetes mellitus, hypertension, and kidney stones.
Authors
- Dan Schmidt (ORCID: https://orcid.org/0000-0003-0704-8165)
- Z. Chen
- Rory Collins (ORCID: https://orcid.org/0000-0001-8288-8602)
- Si Cheng (ORCID: https://orcid.org/0000-0002-0728-2878)
- Di Sun (ORCID: https://orcid.org/0000-0001-7217-2512)
- Yiping Chen
- Jun Lv
- Yizhen Hu
- Canqing Yu
- Luxia Zhang
- Bin He
- Shanpeng Li
- Yongmei Liu
- Robert Clarke
- Yujie Wang
- Chao Yang
- Junshi Chen
- Pek Kei Im
- Kaifei Zhu
- Richard Peto
- Ling Yang
- Liming Li
- Zhiqing Zeng
- Dan Hu
- Li Liu
- Xiaoming Yang
- Kunzheng Lv
- Zhenyuan Wu
- Huaidong Du
- Robin Walters
- Ranran Du
- Lishun Zhai
Institutions
- Fujian Medical University (CN)
- Chinese Center For Disease Control and Prevention (CN)
- Peking University (CN)
- University of Oxford (GB)
- Beijing Institute of Big Data Research (CN)
- Jiangsu Provincial Center for Disease Control and Prevention (CN)
- Peking University First Hospital (CN)
- China National Center for Food Safety Risk Assessment (CN)
Publication Details
- Journal
- Kidney International Reports
- Published
- 2026-04-01
- DOI
- https://doi.org/10.1016/j.ekir.2026.106525
- Primary Topic
- Medical Coding and Health Information
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Wellcome
- Wellcome Trust
- Cancer Research UK
- British Heart Foundation
- National Natural Science Foundation of China
- Ministry of Science and Technology of the People's Republic of China
- Kadoorie Charitable Foundation
- Medical Research Council
- National Key Research and Development Program of China