作者
Sean J. Barbour,Rosanna Coppo,Lee Er,María Luisa Russo,Fei Liu,Jie Ding,Xuhui Zhong,Ritsuko Katafuchi,Norishige Yoshikawa,Hong Xu,Shoji Kagami,Yukio Yuzawa,Francesco Emma,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,Stephen A. Roberts
摘要
The pediatric International IgA Nephropathy (IgAN) Prediction Tool comprises two models with and without ethnicity and is the first method to predict the risk of a 30% decline in estimated glomerular filtration rate (eGFR) or kidney failure in children at the time of biopsy using clinical risk factors and Oxford MEST histology scores. However, it is unknown if the Prediction Tool can be applied after a period of observation post-biopsy. Using an international multi-ethnic cohort of 947 children with IgAN, 38% of whom were followed into adulthood, the Prediction Tool was updated for use one year after biopsy. Compared to the original pediatric Prediction Tool, the updated post-biopsy Prediction Tool had a better model fit with higher R