Differential Diagnosis of Lupus and Primary Membranous Nephropathies by IgG Subclass Analysis

医学 子类 狼疮性肾炎 决策树 病理 系膜 肾活检 肾小球肾炎 抗体 活检 免疫学 内科学 疾病 人工智能 计算机科学
作者
Young Soo Song,Kyueng‐Whan Min,Ju Han Kim,Gheun‐Ho Kim,Moon Hyang Park
出处
期刊:Clinical Journal of The American Society of Nephrology [American Society of Nephrology]
卷期号:7 (12): 1947-1955 被引量:21
标识
DOI:10.2215/cjn.04800511
摘要

Previous studies showed that the accuracy of IgG subclasses (ISs) in differentiating membranous lupus nephritis (MLN) from primary membranous nephropathy (PMN) is <80%. This study hypothesized that diagnostic accuracy of ISs would be increased if renal compartment measurements and decision tree analysis are applied.Renal biopsy specimens from 41 patients with MLN and 59 patients with PMN between October 2004 and March 2010 were examined, and immunofluorescence staining against IgG1, IgG2, IgG3, and IgG4 as well as C3, C1q, and C4 was evaluated in five different renal compartments (glomerular capillary walls, mesangium, tubules, interstitium, and blood vessels). From IS data, a decision tree to differentiate MLN from PMN was produced (IS decision tree) and its accuracy was compared with that of previous studies. Diagnostic accuracy of the IS decision tree was also compared with that of the complement decision tree as a reference.The demographic information and patterns of IS deposition were similar to those of previous studies. The IS decision tree had, as decision markers, IgG1 in the mesangium and IgG2 and IgG4 along the glomerular capillary wall. The IS decision tree showed higher accuracy (88%) than that of previous studies (<80%) and also that of the complement decision tree (81%).Accuracy of ISs was increased due to the study methods, but the same methodology was less effective using complement measurements. Appropriate data analysis may enhance diagnostic value, but the analysis alone cannot achieve the ideal diagnostic value.

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