Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania, and Children's Hospital of Philadelphia, Philadelphia, Pennsylvania.
Arbor Research Collaborative for Health, Ann Arbor, Michigan.
J Am Soc Nephrol. 2022 Jul;33(7):1411-1426. doi: 10.1681/ASN.2021101396. Epub 2022 May 17.
Heterogeneity in disease course and treatment response among patients with MCD/FSGS necessitates a granular evaluation of kidney tissue features. This study aimed to identify histologic and ultrastructural descriptors of structural changes most predictive of clinical outcomes in the Nephrotic Syndrome Study Network (NEPTUNE).
Forty-eight histologic (37 glomerular, 9 tubulointerstitial, 2 vascular) and 20 ultrastructural descriptors were quantified by applying the NEPTUNE Digital Pathology Scoring System to NEPTUNE kidney biopsies. Outcomes included time from biopsy to disease progression, first complete remission of proteinuria, and treatment response. Relative importance of pathology and clinical predictors was obtained from random forest models, and predictive discrimination was assessed.
Among 224 participants (34% Black, 24% Hispanic), model performance was excellent, with predictive discrimination of 0.9 for disease progression, 0.85 for complete remission, and 0.81 for treatment response. The most predictive descriptors of outcomes included both conventional-, global sclerosis or segmental sclerosis and interstitial fibrosis/tubular atrophy-and novel features, including adhesion, interstitial foam cells, deflation, periglomerular fibrosis, mononuclear white blood cells, endothelial cell abnormalities, microvillous transformation, and acute tubular injury.
The most predictive descriptors of clinical outcomes among MCD/FSGS patients reflected structural changes in multiple renal compartments. Reporting these descriptors should be standardized to guide prognostication of proteinuric glomerular diseases.
MCD/FSGS 患者的疾病过程和治疗反应存在异质性,因此需要对肾脏组织特征进行细致评估。本研究旨在确定最能预测 NEPTUNE 中肾病综合征研究网络(Nephrotic Syndrome Study Network,NEPTUNE)临床结局的组织学和超微结构改变的描述符。
通过应用 NEPTUNE 数字病理学评分系统对 NEPTUNE 肾脏活检进行了 48 个组织学(37 个肾小球、9 个肾小管间质、2 个血管)和 20 个超微结构描述符的量化。结局包括从活检到疾病进展的时间、蛋白尿首次完全缓解和治疗反应。通过随机森林模型获得病理学和临床预测因子的相对重要性,并评估预测判别能力。
在 224 名参与者(34%为黑人,24%为西班牙裔)中,模型性能优异,疾病进展的预测判别为 0.9,完全缓解的预测判别为 0.85,治疗反应的预测判别为 0.81。对结局最具预测性的描述符包括传统的、整体硬化或节段性硬化以及间质纤维化/肾小管萎缩,以及新的特征,包括粘连、间质泡沫细胞、萎缩、肾小球旁纤维化、单核白细胞、内皮细胞异常、微绒毛转化和急性肾小管损伤。
MCD/FSGS 患者临床结局的最具预测性描述符反映了多个肾脏部位的结构变化。报告这些描述符应标准化,以指导蛋白尿性肾小球疾病的预后。