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.
Kidney Int. 2022 Jul;102(1):160-172. doi: 10.1016/j.kint.2022.02.042. Epub 2022 Apr 29.
The International IgA Nephropathy (IgAN) Prediction Tool is the preferred method in the 2021 KDIGO guidelines to predict, at the time of kidney biopsy, the risk of a 50% drop in estimated glomerular filtration rate or kidney failure. However, it is not known if the Prediction Tool can be accurately applied after a period of observation post-biopsy. Using an international multi-ethnic derivation cohort of 2,507 adults with IgAN, we updated the Prediction Tool for use one year after biopsy, and externally validated this in a cohort of 722 adults. The original Prediction Tool applied at one-year without modification had a coefficient of variation (R) of 55% and 54% and four-year concordance (C statistic) of 0.82 but poor calibration with under-prediction of risk (integrated calibration index (ICI) 1.54 and 2.11, with and without race, respectively). Our updated Prediction Tool had a better model fit with higher R (61% and 60%), significant increase in four-year C-statistic (0.87 and 0.86) and better four-year calibration with lower ICI (0.75 and 0.35). On external validation, the updated Prediction Tool had similar R (60% and 58%) and four-year C-statistics (both 0.85) compared to the derivation analysis, with excellent four-year calibration (ICI 0.62 and 0.56). This updated Prediction Tool had similar prediction performance when used two years after biopsy. Thus, the original Prediction Tool should be used only at the time of biopsy whereas our updated Prediction Tool can be used for risk stratification one or two years post-biopsy.
国际 IgA 肾病(IgAN)预测工具是 2021 年 KDIGO 指南中首选的方法,用于在肾活检时预测肾小球滤过率下降 50%或肾功能衰竭的风险。然而,尚不清楚该预测工具在活检后观察一段时间后是否可以准确应用。使用一个国际多民族衍生队列的 2507 例 IgAN 成人患者,我们更新了活检后一年使用的预测工具,并在 722 例成人队列中进行了外部验证。原始预测工具在未经修改的情况下应用于一年时,变异系数(R)为 55%和 54%,四年一致性(C 统计量)为 0.82,但校准效果不佳,风险预测偏低(综合校准指数(ICI)分别为 1.54 和 2.11,包括和不包括种族)。我们的更新预测工具具有更好的模型拟合度,R 值更高(61%和 60%),四年 C 统计量显著增加(0.87 和 0.86),四年校准效果更好,ICI 更低(0.75 和 0.35)。外部验证时,更新后的预测工具与衍生分析相比,R 值(60%和 58%)和四年 C 统计量(均为 0.85)相似,四年校准效果极佳(ICI 分别为 0.62 和 0.56)。更新后的预测工具在活检后两年使用时具有相似的预测性能。因此,原始预测工具仅应在活检时使用,而我们的更新预测工具可在活检后一到两年用于风险分层。