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更新国际 IgA 肾病预测工具,以用于儿童。

Updating the International IgA Nephropathy Prediction Tool for use in children.

机构信息

Division of Nephrology, University of British Columbia, Vancouver, British Columbia, Canada; BC Renal, Vancouver, British Columbia, Canada.

Fondazione Ricerca Molinette, Regina Margherita Hospital, Turin, Italy.

出版信息

Kidney Int. 2021 Jun;99(6):1439-1450. doi: 10.1016/j.kint.2020.10.033. Epub 2020 Nov 18.

Abstract

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 R 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 R (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.

摘要

虽然 IgA 肾病 (IgAN) 是儿童肾小球肾炎的常见病因,但缺乏预测疾病进展的方法限制了基于风险的个体化治疗决策。成人国际 IgAN 预测工具包括两个经过验证的 Cox 生存模型,该模型使用临床危险因素和牛津 MEST 组织学评分预测肾小球滤过率 (eGFR) 下降 50%或终末期肾病 (ESKD)。在这里,我们使用包含 1060 名 IgAN 儿童的多民族国际队列更新了预测工具,这些儿童随访至成年期。更新后的儿科预测工具比原始成人工具具有更好的模型拟合度,Akaike 信息准则较低,R 值较高,C 统计量相似。然而,校准显示预测风险与观察风险之间的一致性非常差,这可能是由于儿童观察到的疾病轨迹所致。因此,该工具使用 eGFR 降低 30%或 ESKD 的次要结局进行了更新,与成人工具相比,R 值(30.3%/22.2%)和 C 统计量(0.74/0.68)更好,但校准良好。儿童 eGFR 随时间的变化轨迹与成人不同,高度非线性,直到 18 岁时增加,然后类似于成人的线性下降。较高的预测风险与 eGFR 增加幅度较小相关,随后下降速度较快,这表明 eGFR 下降 30%风险较高的儿童在随访至成年期时最终会经历更大的 eGFR 下降 50%。因此,儿科和成人预测工具之间这两个结果是类似的。因此,我们的儿科预测工具可以准确预测 IgAN 儿童 eGFR 下降 30%或 ESKD 的风险。

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