Kang Donghyuk, Ban Tae Hyun, Chin Ho Jun, Lee Hajeong, Oh Se Won, Park Cheol Whee, Yang Chul Woo, Choi Bum Soon
Department of Nephrology and Hypertension, Korea University Guro Hospital, Korea University College of Medicine, Seoul, South Korea.
Division of Nephrology, Department of Internal Medicine, Eunpyeong St. Mary's Hospital, The Catholic University College of Medicine, Seoul, South Korea.
Front Med (Lausanne). 2022 Aug 24;9:952050. doi: 10.3389/fmed.2022.952050. eCollection 2022.
Many studies have shown that chronic changes are strong predictors of renal outcomes in various kidney diseases, including IgA nephropathy. The Mayo Clinic/Renal Pathology Society suggested a glomerulonephritis reporting system with a proposal for standardized grading of chronic changes. The purpose of this study was to predict renal outcomes in patients with IgA nephropathy using chronicity grading in comparison to the Oxford classification which did not include global sclerosis. A total of 4,151 patients with IgA nephropathy were enrolled from the Korean GlomeruloNephritis Study Group registry. Chronicity grading was categorized into minimal, mild, moderate, and severe according to the extent of chronic changes. The Oxford T and S scores were considered as chronic lesions. Three prediction models were constructed: the Oxford classification model (Oxford S plus T), chronicity grading model A (chronicity grading), and chronicity grading model B (chronicity grading plus Oxford S). Using these three prediction models, the primary renal outcome (end-stage renal disease) was evaluated using Cox regression analysis and prediction performance. During the median follow-up of 6.1 (2.7-9.9) years, 304 (7.3%) patients progressed to end-stage renal disease with a cumulative incidence rate of 1.02 events per 100 person-years. In a fully adjusted multivariable model, chronicity grading was independently associated with the primary renal outcome in both models A and B. Compared to the Oxford model, both models A and B showed improvements in model fit, but not in discrimination (ΔC 0.001; 95% CI, -0.010 to 0.013 and ΔC 0.002; 95% CI, -0.005 to 0.008, respectively). Model B demonstrated improvements in integrated discrimination improvement (0.01; 95% CI, 0-0.03) and continuous net reclassification improvement (0.49; 95% CI, 0.02-0.72). The severity of chronicity grading is closely related to adverse renal outcomes in patients with IgA nephropathy, and chronicity grading could provide additional information in clinical practice alongside the Oxford classification.
许多研究表明,慢性改变是包括IgA肾病在内的各种肾脏疾病肾脏预后的有力预测指标。梅奥诊所/肾脏病理学会提出了一种肾小球肾炎报告系统,并对慢性改变进行标准化分级。本研究的目的是使用慢性病变分级来预测IgA肾病患者的肾脏预后,并与不包括球性硬化的牛津分类法进行比较。共纳入了4151例来自韩国肾小球肾炎研究组登记处的IgA肾病患者。根据慢性改变的程度,慢性病变分级分为轻微、轻度、中度和重度。牛津T和S评分被视为慢性病变。构建了三个预测模型:牛津分类模型(牛津S加T)、慢性病变分级模型A(慢性病变分级)和慢性病变分级模型B(慢性病变分级加牛津S)。使用这三个预测模型,通过Cox回归分析和预测性能评估主要肾脏结局(终末期肾病)。在中位随访6.1(2.7 - 9.9)年期间,304例(7.3%)患者进展至终末期肾病,累积发病率为每100人年1.02例事件。在完全调整的多变量模型中,慢性病变分级在模型A和模型B中均与主要肾脏结局独立相关。与牛津模型相比,模型A和模型B在模型拟合方面均有改善,但在鉴别能力方面没有改善(ΔC 0.001;95% CI,-0.010至0.013和ΔC(此处原文有误,推测为)0.002;95% CI,-0.005至0.008)。模型B在综合鉴别改善(0.01;95% CI,0 - 0.03)和连续净重新分类改善(0.49;95% CI,0.02 - 0.72)方面有改善。慢性病变分级的严重程度与IgA肾病患者不良肾脏结局密切相关,并且慢性病变分级在临床实践中可与牛津分类法一起提供额外信息。