2012 Fiscal Year Final Research Report
Validation study on the international and domestic histological classifications of IgA nephropathy
| Project/Area Number |
22590326
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
Human pathology
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| Research Institution | Tohoku University |
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Principal Investigator |
JOH Kensuke 東北大学, 大学院・医学系研究科, 非常勤講師 (10057086)
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| Project Period (FY) |
2010 – 2012
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| Keywords | IgA腎症 / 組織分類 / 多国籍 / 予後予測因子 / 腎生検 / Oxford分類 / 組織学的重症度分類 |
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| Research Abstract |
In Japan, the Special IgAN Study Group of the Progressive Renal Diseases Study Committee was organized by the Minister of Health, Labor and Welfare and has recently developed an evidence-based clinicopathological classification of IgAN(J Nephrol 2013). On the other hand, the international histological classification of IgA nephropathy has been developed, which enables comparison of histological characteristics among ethnicities and generations (Kidney Int. 2009).These 2 classifications were not identical. Therefore, the international Oxford classification may require further refinement to become an international standard. The purpose of this study was to validate the Oxford classification following the method used by the study producing Oxford classification and to compare the results of Japanese subjects with those of the Oxford study in a retrospective analysis. Sequential clinical data as well as renal biopsies were obtained from 233 Japanese adults with IgAN were followed for a median of 110 months.
Our study suggested that the reason why the 2 classifications, the Oxford and Japanese classification, were not identical, depends on that the selected histological parameters, which were associated with renal function decline, were strongly influenced by different followed-up period, different generations, and different inclusion criteria. From this point of view, a worldwide standard of histological classification should be more flexible for application to different specific cohorts. Therefore, the histological classification should be a split system, which composed of all pathological parameters.
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