三种常用病理分类系统及一种简化分类(北京分类)对原发性IgA肾病的预测能力

Shuwei Duan, Yan Mei, Jian Liu, Pu Chen, Ping Li, Yi-zhi Chen, Shu-peng Lin, Xue‐guang Zhang, Jiaona Liu, Xuefeng Sun, Yuansheng Xie, G. Cai, Shu-wen Liu, Jie Wu, Xiang-Mei Chen
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引用次数: 5

摘要

背景/目的:临床上常用几种病理分类系统来预测IgA肾病(IgAN)的预后。然而,这些系统的预后价值有何不同尚不清楚。本研究的目的是比较李氏分级,牛津分级和哈斯分级,并找到一个简化的分类。方法:回顾性分析2002年1月至2007年12月诊断的IgAN病例。终点是进展到终末期肾病(ESRD)或估计肾小球滤过率(eGFR)下降≥50%。通过比较区分(连续净重分类)和校准(赤池信息准则[AIC])的能力来评估预测能力。结果:共纳入412例IgAN患者。平均随访时间为80.62±23.63个月。44例(10.68%)患者进展为ESRD, 70例(16.99%)患者eGFR下降≥50%。所有多变量Cox回归模型对高AIC值的影响有限。Lee分级和Oxford分级的预后价值高于仅包含ESRD进展或eGFR下降≥50%的既定基线临床指标的模型(Lee分级0.50,95% CI 0.21-0.74;牛津分类0.48,95% CI 0.28-0.71)。对于进展为ESRD或eGFR下降≥50%的患者,Haas分级的预后价值低于其他病理分级(Lee分级0.53,95% CI 0.23-0.92;牛津分类0.59,95% CI 0.10-0.74)。M、T病变分级(北京分级)的预后价值与牛津分级相似。结论:Lee分级和Oxford分级均显示出超出既定基线临床指标的递增预后价值。哈斯分级略低于李氏分级和牛津分级。使用较少病理参数的分层分类(北京分类)不失去预测效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Predictive Capabilities of Three Widely Used Pathology Classification Systems and a Simplified Classification (Beijing Classification) in Primary IgA Nephropathy
Background/Aims: Several pathological classification systems were commonly used in clinical practice to predict the prognosis of IgA nephropathy (IgAN). However, how prognostic value differs between these systems is unclear. The aim of this study was to compare the Lee grade, the Oxford classification, and the Haas classification and to find a simplified classification. Methods: We retrospectively analyzed IgAN cases diagnosed between January 2002 and December 2007. The endpoints were progression to end-stage renal disease (ESRD) or a ≥50% decline in estimated glomerular filtration rate (eGFR). The predictive capabilities were evaluated by comparing the ability of discrimination (continuous net reclassification) and calibration (Akaike information criterion [AIC]). Results: A total of 412 IgAN patients were included in the study. The average follow-up period was 80.62 ± 23.63 months. A total of 44 (10.68%) patients progressed to ESRD, and 70 (16.99%) patients showed a ≥50% decline in eGFR. All multivariate Cox regression models had limited power for high AIC values. The prognostic values of the Lee grade and the Oxford classification were higher than those of models containing only established baseline clinical indicators for progression to ESRD or a ≥50% decline in eGFR (Lee grade 0.50, 95% CI 0.21–0.74; Oxford classification 0.48, 95% CI 0.28–0.71). The prognostic value of the Haas classification was lower than that of the other pathological classification systems for progression to ESRD or a ≥50% decline in eGFR (Lee grade 0.53, 95% CI 0.23–0.92; Oxford classification 0.59, 95% CI 0.10–0.74). The prognostic value of hierarchical classification (Beijing classification) using M and T lesion was similar to the Oxford classification. Conclusions: Both the Lee grade and the Oxford classification showed incremental prognostic values beyond established baseline clinical indicators. The Haas classification was slightly inferior to the Lee grade and the Oxford classification. The hierarchical classification (Beijing classification) using less pathological parameters does not lose predictive efficiency.
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