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Mayo imaging classification is a good predictor of rapid progress among Korean patients with autosomal dominant polycystic kidney disease: results from the KNOW-CKD study
DC Field | Value | Language |
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dc.contributor.author | Park, Hayne Cho | - |
dc.contributor.author | Hong, Yeji | - |
dc.contributor.author | Yeon, Jeong-Heum | - |
dc.contributor.author | Ryu, Hyunjin | - |
dc.contributor.author | Kim, Yong-Chul | - |
dc.contributor.author | Lee, Joongyub | - |
dc.contributor.author | Kim, Yeong Hoon | - |
dc.contributor.author | Chae, Dong-Wan | - |
dc.contributor.author | Chung, WooKyung | - |
dc.contributor.author | Ahn, Curie | - |
dc.contributor.author | Oh, Kook-Hwan | - |
dc.contributor.author | Oh, Yun Kyu | - |
dc.date.accessioned | 2022-10-12T00:54:37Z | - |
dc.date.available | 2022-10-12T00:54:37Z | - |
dc.date.created | 2022-09-08 | - |
dc.date.issued | 2022-07 | - |
dc.identifier.citation | Kidney Research and Clinical Practice, Vol.41 No.4, pp.432-441 | - |
dc.identifier.issn | 2211-9132 | - |
dc.identifier.uri | https://hdl.handle.net/10371/185917 | - |
dc.description.abstract | Background: Mayo imaging classification (MIC) is a useful biomarker to predict disease progression in autosomal dominant polycystic kidney disease (ADPKD). This study was performed to validate MIC in the prediction of renal outcome in a prospective Korean ADPKD cohort and evaluate clinical parameters associated with rapid disease progression. Methods: A total of 178 ADPKD patients were enrolled and prospectively observed for an average duration of 6.2 +/- 1.9 years. Rapid progressor was defined as MIC 1C through 1E while slow progressor was defined as 1A through 1B. Renal composite outcome (doubling of serum creatinine, 50% decline of estimated glomerular filtration rate [eGFR], or initiation of renal replacement therapy) as well as the annual percent change of height-adjusted total kidney volume (mHTKV-alpha), and eGFR decline (mGFR-alpha) were compared between groups. Results: A total of 110 patients (61.8%) were classified as rapid progressors. These patients were younger and showed a higher proportion of male patients. Rapid progressor was an independent predictor for renal outcome (hazard ratio, 4.09; 95% confidence interval, 1.23-13.54; p = 0.02). The mGFR-alpha was greater in rapid progressors (-3.58 mL/min per year in 1C, -3.7 in 1D, and -4.52 in 1E) compared with that in slow progressors (-1.54 in 1A and -2.06 in 1B). The mHTKV-alpha was faster in rapid progressors (5.3% per year in 1C, 9.4% in 1D, and 11.7% in 1E) compared with that in slow progressors (1.2% in 1A and 3.8% in 1B). Conclusion: MIC is a good predictive tool to define rapid progressors in Korean ADPKD patients. | - |
dc.language | 영어 | - |
dc.publisher | 대한신장학회 | - |
dc.title | Mayo imaging classification is a good predictor of rapid progress among Korean patients with autosomal dominant polycystic kidney disease: results from the KNOW-CKD study | - |
dc.type | Article | - |
dc.identifier.doi | 10.23876/j.krcp.21.261 | - |
dc.citation.journaltitle | Kidney Research and Clinical Practice | - |
dc.identifier.wosid | 000843053400005 | - |
dc.identifier.scopusid | 2-s2.0-85134807839 | - |
dc.citation.endpage | 441 | - |
dc.citation.number | 4 | - |
dc.citation.startpage | 432 | - |
dc.citation.volume | 41 | - |
dc.identifier.kciid | ART002865007 | - |
dc.description.isOpenAccess | N | - |
dc.contributor.affiliatedAuthor | Kim, Yong-Chul | - |
dc.contributor.affiliatedAuthor | Chae, Dong-Wan | - |
dc.contributor.affiliatedAuthor | Oh, Kook-Hwan | - |
dc.contributor.affiliatedAuthor | Oh, Yun Kyu | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
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