Age-adjusted global glomerulosclerosis predicts renal progression more accurately in patients with IgA nephropathyopen access
- Authors
- Chung, Chan-Sung; Lee, Ji-Hye; Jang, Si-Hyong; Cho, Nam-Jun; Kim, Wook-Joon; Heo, Nam Hun; Gil, Hyo-Wook; Lee, Eun Young; Moon, Jong-Seok; Park, Samel
- Issue Date
- 14-Apr-2020
- Publisher
- Nature Publishing Group
- Keywords
- IgA nephropathy; age
- Citation
- Scientific Reports, v.10, no.1
- Journal Title
- Scientific Reports
- Volume
- 10
- Number
- 1
- URI
- https://scholarworks.bwise.kr/sch/handle/2021.sw.sch/2912
- DOI
- 10.1038/s41598-020-63366-0
- ISSN
- 2045-2322
- Abstract
- The Oxford classification was developed to predict the outcome of IgA nephropathy (IgAN). Based on the upper reference limit (95(th) percentile) for the number of globally sclerotic glomeruli (GSG) expected on biopsy according to age, we evaluated whether the prognosis of IgAN was affected by the age-calibrated numbers of GSG independent of the Oxford classification. Patients diagnosed with IgAN on renal biopsy in a single center from January 2011 to December 2018 were analyzed retrospectively. Patients with more GSG number than the upper reference limit expected on biopsy according to age were categorized in a group of GSG abnormal for age. We analyzed in two ways, calculating the median rate of decline in estimated glomerular filtration rate (eGFR) and time-to-event defined as a decline of eGFR level to 40% lower than the baseline. There were 111 patients in the group of GSG abnormal for age. In this group, the rate of eGFR decline was faster by 1.85 (3.68-0.03) ml/min/1.73 m(2) per year in the fully-adjusted robust regression model. The adjusted hazard ratio for eGFR decline for renal outcome was 29.10 (2.18-388.49). The cumulative incidence of CKD progression was significantly higher, especially for those with T score of 0 in the Oxford classification. We suggest that GSG abnormal for age is an independent risk factor in predicting the renal outcome of IgAN.
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Collections - Graduate School > Department of Integrated Biomedical Science > 1. Journal Articles
- College of Medicine > Department of Internal Medicine > 1. Journal Articles
- College of Medicine > Department of Pathology > 1. Journal Articles
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