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Li J, Cui Z, Long J, Huang W, Wang J, Zhang H, Wang H, Zhang L, Ronco P, Zhao MH. Primary glomerular nephropathy among hospitalized patients in a national database in China. Nephrol Dial Transplant 2019; 33:2173-2181. [PMID: 29509919 DOI: 10.1093/ndt/gfy022] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2017] [Accepted: 01/11/2018] [Indexed: 01/10/2023] Open
Abstract
Background Primary glomerular nephropathy (PGN) is a leading cause of end-stage renal disease in developing countries, however, nationwide studies investigating the spectrum of PGN are limited. Methods To evaluate the composition of various pathological types of PGN in a comprehensive geographic coverage in China, a national inpatient database covering 43.7 million patients was used in this analysis. Diagnoses were extracted from the discharge diagnoses. Results The percentage of patients with PGN in hospitalized patients decreased from 0.80% in 2010 to 0.67% in 2015. Among hospitalized patients with PGN, a decreasing trend of immunoglobulin A nephropathy (from 19.0% in 2010 to 10.6% in 2015) and an increasing trend of idiopathic membranous nephropathy (from 4.5% in 2010 to 8.8% in 2015) were revealed. A positive association between the percentage of idiopathic membranous nephropathy (iMN) and the exposure of particulate matter with a diameter < 2.5 μm was observed north of the Yangtze River (P < 0.001, R2 = 0.828). South of the Yangtze River, the proportion of the Zhuang population was positively correlated to the frequency of iMN (P = 0.012, r = 0.697). Conclusions In conclusion, a changing spectrum of PGN was observed between 2010 and 2015 in China and both environmental and genetic factors might play pivotal roles in the pathogenesis of iMN in the Chinese population.
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Affiliation(s)
- Jiannan Li
- Renal Division, Department of Medicine, Peking University First Hospital, Peking University Institute of Nephrology, Beijing, China
| | - Zhao Cui
- Renal Division, Department of Medicine, Peking University First Hospital, Peking University Institute of Nephrology, Beijing, China
| | - Jianyan Long
- China Standard Medical Information Research Center, Shenzhen, Guangdong, China
| | - Wei Huang
- Department of Occupational and Environmental Health Sciences, Peking University School of Public Health, Beijing, China
| | - Jinwei Wang
- Renal Division, Department of Medicine, Peking University First Hospital, Peking University Institute of Nephrology, Beijing, China
| | - Hong Zhang
- Renal Division, Department of Medicine, Peking University First Hospital, Peking University Institute of Nephrology, Beijing, China
| | - Haibo Wang
- China Standard Medical Information Research Center, Shenzhen, Guangdong, China.,Clinical Trial Unit, First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
| | - Luxia Zhang
- Renal Division, Department of Medicine, Peking University First Hospital, Peking University Institute of Nephrology, Beijing, China.,Peking University, Center for Data Science in Health and Medicine, Beijing, China
| | - Pierre Ronco
- Sorbonne Universités, UPMC Univ Paris 06, Paris, France.,INSERM UMR_S 1155, Paris, France.,AP-HP, Service de Néphrologie et Dialyses, Hôpital Tenon, Paris, France
| | - Ming-Hui Zhao
- Renal Division, Department of Medicine, Peking University First Hospital, Peking University Institute of Nephrology, Beijing, China.,Peking-Tsinghua Center for Life Sciences, Beijing, China
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