Updating the International IgA Nephropathy Prediction Tool for use in children

医学 肾功能 肾病 阿卡克信息准则 队列 内科学 疾病 肾脏疾病 儿科 内分泌学 统计 数学 糖尿病
作者
Jonathan Barratt,Rosanna Coppo,Lee Er,María Luisa Russo,Fei Liu,Jie Ding,A. Richard Kitching,Norishige Yoshikawa,Hong Xu,Shoji Kubo,Yukio Yuzawa,Giovanni Montini,Alexandra Cambier,Licia Peruzzi,Robert Wyatt,Daniel Cattran,Caihong Zeng,Biage Su,Xuhui Zhong,Koichi Nakanishi,Yi­hui Zhai,Maki Urushihara,Motoshi Hattori,Francesca Diomedi Camassei,Antonella Barreca,Thomas Robert,Larisa Prikhodina,Ulla Berg,Rezan Topaloğlu,Małgorzata Mizerska-Wasiak,Αikaterini Papagianni,Shubha S. Bellur,Ian S. Roberts
出处
期刊:Kidney International [Elsevier BV]
卷期号:99 (6): 1439-1450 被引量:34
标识
DOI:10.1016/j.kint.2020.10.033
摘要

Although IgA nephropathy (IgAN) is a common cause of glomerulonephritis in children, the absence of a method to predict disease progression limits personalized risk-based treatment decisions. The adult International IgAN Prediction Tool comprises two validated Cox survival models that predict a 50% decline in estimated glomerular filtration rate (eGFR) or end stage kidney disease (ESKD) using clinical risk factors and Oxford MEST histology scores. Here, we updated the Prediction Tool for use in children using a multiethnic international cohort of 1,060 children with IgAN followed into adulthood. The updated pediatric Prediction Tool had better model fit than the original adult tool with lower Akaike Information Criterion, higher R2D and similar C-statistics. However, calibration showed very poor agreement between predicted and observed risks likely due to the observed disease trajectory in children. Therefore, the Tool was updated using a secondary outcome of a 30% reduction in eGFR or ESKD, resulting in better R2D (30.3%/22.2%) and similar C-statistics (0.74/0.68) compared to the adult tool but with good calibration. The trajectory of eGFR over time in children differed from adults being highly non-linear with an increase until 18 years old followed by a linear decline similar to that of adults. A higher predicted risk was associated with a smaller increase in eGFR followed by a more rapid decline, suggesting that children at risk of a 30% decrease in eGFR will eventually experience a larger 50% decrease in eGFR when followed into adulthood. As such, these two outcomes are analogous between pediatric and adult Prediction Tools. Thus, our pediatric Prediction Tool can accurately predict the risk of a 30% decline in eGFR or ESKD in children with IgAN. Although IgA nephropathy (IgAN) is a common cause of glomerulonephritis in children, the absence of a method to predict disease progression limits personalized risk-based treatment decisions. The adult International IgAN Prediction Tool comprises two validated Cox survival models that predict a 50% decline in estimated glomerular filtration rate (eGFR) or end stage kidney disease (ESKD) using clinical risk factors and Oxford MEST histology scores. Here, we updated the Prediction Tool for use in children using a multiethnic international cohort of 1,060 children with IgAN followed into adulthood. The updated pediatric Prediction Tool had better model fit than the original adult tool with lower Akaike Information Criterion, higher R2D and similar C-statistics. However, calibration showed very poor agreement between predicted and observed risks likely due to the observed disease trajectory in children. Therefore, the Tool was updated using a secondary outcome of a 30% reduction in eGFR or ESKD, resulting in better R2D (30.3%/22.2%) and similar C-statistics (0.74/0.68) compared to the adult tool but with good calibration. The trajectory of eGFR over time in children differed from adults being highly non-linear with an increase until 18 years old followed by a linear decline similar to that of adults. A higher predicted risk was associated with a smaller increase in eGFR followed by a more rapid decline, suggesting that children at risk of a 30% decrease in eGFR will eventually experience a larger 50% decrease in eGFR when followed into adulthood. As such, these two outcomes are analogous between pediatric and adult Prediction Tools. Thus, our pediatric Prediction Tool can accurately predict the risk of a 30% decline in eGFR or ESKD in children with IgAN. In this issueKidney InternationalVol. 99Issue 6PreviewDid you ever wonder why so many novel therapeutics work well in animal models of kidney diseases, but lack efficacy when translated to human clinical trials? Some answers to this question are provided by the study of Lei et al. They designed a multicenter “preclinical” randomized controlled trial of a Jak1/2 inhibitor in a murine model of lupus nephritis (LN). Overall, the trial failed to show benefit in the treatment of LN. However, at certain centers, the inhibitor did appear to work. When the investigators examined this center effect, they found that despite all centers using MRL/MpJ-Faslpr mice, the clinical characteristics of lupus were different in mice from different centers. Full-Text PDF
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