Literature DB >> 19571790

The Oxford classification of IgA nephropathy: pathology definitions, correlations, and reproducibility.

Ian S D Roberts, H Terence Cook, Stéphan Troyanov, Charles E Alpers, Alessandro Amore, Jonathan Barratt, Francois Berthoux, Stephen Bonsib, Jan A Bruijn, Daniel C Cattran, Rosanna Coppo, Vivette D'Agati, Giuseppe D'Amico, Steven Emancipator, Francesco Emma, John Feehally, Franco Ferrario, Fernando C Fervenza, Sandrine Florquin, Agnes Fogo, Colin C Geddes, Hermann-Josef Groene, Mark Haas, Andrew M Herzenberg, Prue A Hill, Ronald J Hogg, Stephen I Hsu, J Charles Jennette, Kensuke Joh, Bruce A Julian, Tetsuya Kawamura, Fernand M Lai, Lei-Shi Li, Philip K T Li, Zhi-Hong Liu, Bruce Mackinnon, Sergio Mezzano, F Paolo Schena, Yasuhiko Tomino, Patrick D Walker, Haiyan Wang, Jan J Weening, Nori Yoshikawa, Hong Zhang.   

Abstract

Pathological classifications in current use for the assessment of glomerular disease have been typically opinion-based and built on the expert assumptions of renal pathologists about lesions historically thought to be relevant to prognosis. Here we develop a unique approach for the pathological classification of a glomerular disease, IgA nephropathy, in which renal pathologists first undertook extensive iterative work to define pathologic variables with acceptable inter-observer reproducibility. Where groups of such features closely correlated, variables were further selected on the basis of least susceptibility to sampling error and ease of scoring in routine practice. This process identified six pathologic variables that could then be used to interrogate prognostic significance independent of the clinical data in IgA nephropathy (described in the accompanying article). These variables were (1) mesangial cellularity score; percentage of glomeruli showing (2) segmental sclerosis, (3) endocapillary hypercellularity, or (4) cellular/fibrocellular crescents; (5) percentage of interstitial fibrosis/tubular atrophy; and finally (6) arteriosclerosis score. Results for interobserver reproducibility of individual pathological features are likely applicable to other glomerulonephritides, but it is not known if the correlations between variables depend on the specific type of glomerular pathobiology. Variables identified in this study withstood rigorous pathology review and statistical testing and we recommend that they become a necessary part of pathology reports for IgA nephropathy. Our methodology, translating a strong evidence-based dataset into a working format, is a model for developing classifications of other types of renal disease.

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Year:  2009        PMID: 19571790     DOI: 10.1038/ki.2009.168

Source DB:  PubMed          Journal:  Kidney Int        ISSN: 0085-2538            Impact factor:   10.612


  362 in total

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Review 5.  Morphology in the Digital Age: Integrating High-Resolution Description of Structural Alterations With Phenotypes and Genotypes.

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6.  Reduction of proteinuria by therapeutic intervention improves the renal outcome of elderly patients with IgA nephropathy.

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Review 7.  The emerging role of the inflammasome in kidney diseases.

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8.  Prognostic value of endocapillary hypercellularity in IgA nephropathy patients with no immunosuppression.

Authors:  Aron Chakera; Clare MacEwen; Shubha S Bellur; La-Or Chompuk; Daniel Lunn; Ian S D Roberts
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9.  Prediction of outcomes in crescentic IgA nephropathy in a multicenter cohort study.

Authors:  Jicheng Lv; Yihe Yang; Hong Zhang; Wenfang Chen; Xiaoxia Pan; Zhiling Guo; Caili Wang; Shen Li; Jianrong Zhang; Jianchun Zhang; Lijun Liu; Sufang Shi; Suxia Wang; Min Chen; Zhao Cui; Nan Chen; Xueqing Yu; Minghui Zhao; Haiyan Wang
Journal:  J Am Soc Nephrol       Date:  2013-09-12       Impact factor: 10.121

10.  Distribution of Streptococcus mutans strains with collagen-binding proteins in the oral cavity of IgA nephropathy patients.

Authors:  Taro Misaki; Shuhei Naka; Keiko Kuroda; Ryota Nomura; Tempei Shiooka; Yoshitaka Naito; Yumiko Suzuki; Hideo Yasuda; Taisuke Isozaki; Kazuhiko Nakano
Journal:  Clin Exp Nephrol       Date:  2014-12-10       Impact factor: 2.801

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