Validation of the international IgA nephropathy prediction tool in a French cohort beyond 10 years after diagnosis

医学 队列 肾功能 肾病 置信区间 活检 内科学 内分泌学 糖尿病
作者
Grégoire Bon,Perrine Jullien,Ingrid Masson,C. Sauron,M. Dinic,Guillaume Claisse,A. Peláez,Damien Thibaudin,Hesham Mohey,É. Alamartine,Christophe Mariat,Nicolas Maillard
出处
期刊:Nephrology Dialysis Transplantation [Oxford University Press]
卷期号:38 (10): 2257-2265 被引量:6
标识
DOI:10.1093/ndt/gfad048
摘要

The International IgA Nephropathy Network developed a tool (IINN-PT) for predicting the risk of end-stage renal disease (ESRD) or a 50% decline in the estimated glomerular filtration rate (eGFR). We aimed to validate this tool in a French cohort with longer follow-up than previously published validation studies.The predicted survival of patients with biopsy-proven immunoglobulin A nephropathy (IgAN) from the Saint Etienne University Hospital cohort was computed with IINN-PT models with or without ethnicity. The primary outcome was the occurrence of either ESRD or a 50% decline in eGFR. The models' performances were evaluated through c-statistics, discrimination and calibration analysis.There were 473 patients with biopsy-proven IgAN, with a median follow-up of 12.4 years. Models with and without ethnicity showed areas under the curve (95% confidence interval) of 0.817 (0.765; 0.869) and 0.833 (0.791; 0.875) and R2D of 0.28 and 0.29, respectively, and an excellent discrimination of groups of increasing predicted risk (P < .001). The calibration analysis was good for both models up to 15 years after diagnosis. The model without ethnicity exhibited a mathematical issue of survival function after 15 years.The IINN-PT provided good performances even after 10 years post-biopsy as showed by our study based on a cohort with a longer follow-up than previous cohorts (12.4 versus <6 years). The model without ethnicity exhibited better performances up to 15 years but became aberrant beyond this point due to a mathematical issue affecting the survival function. Our study sheds light on the usefulness of integrating ethnicity as a covariable for prediction of IgAN course.
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