External validation of the pediatric International IgA Nephropathy Prediction Tool in a central China cohort

Background This study aimed to externally validate the pediatric International IgA Nephropathy (IgAN) Prediction Tool updated from the adult IgAN Prediction Tool. Methods 439 children with biopsy-confirmed idiopathic IgAN were enrolled in this external validation study. The primary outcome was a 30% decline in eGFR or end-stage kidney disease. We evaluated the discrimination using Harrell’s C-index, the receiver operating characteristic (ROC) curve, and Kaplan–Meier curves for four risk groups (< 16th [low risk], ∼16 to < 50th [intermediate risk], ∼50 to < 84th [high risk], and ≥ 84th percentiles [highest risk] of linear predictor). Calibration was assessed using calibration plots. Results The median follow-up time of the 439 patients was 4.5 (2.7–6.8) years, and 27 patients reached the primary outcome. Compared with the reported cohorts, our cohort was more contemporary, with milder proteinuria at biopsy, and had lower proportions of S1 and T1 lesions. Harrell's C-index and area under the ROC curve at 5 years were < 0.7 for both the models with and without race. The Kaplan–Meier curves of the risk groups were not well separated for the two models, only separated completely between the highest-risk group and the others for the model without race. The two models generally overestimated the risk of the primary outcome, Conclusion The model without race could accurately distinguish the highest-risk patients from patients with low, intermediate, and high risk for kidney progression. Discrimination and calibration for the full model with or without race were unsatisfactory in this contemporary cohort in central China..

Medienart:

E-Artikel

Erscheinungsjahr:

2023

Erschienen:

2023

Enthalten in:

Zur Gesamtaufnahme - volume:28

Enthalten in:

Clinical and experimental nephrology - 28(2023), 1 vom: 15. Sept., Seite 59-66

Sprache:

Englisch

Beteiligte Personen:

Ying, Daojing [VerfasserIn]
Lu, Mengke [VerfasserIn]
Zhi, Yuanzhao [VerfasserIn]
Shi, Peipei [VerfasserIn]
Cao, Lu [VerfasserIn]
Wang, Qin [VerfasserIn]
Zhang, Yingying [VerfasserIn]
Zhang, Jianjiang [VerfasserIn]

Links:

Volltext [lizenzpflichtig]

Themen:

Children
External validation
IgA nephropathy
Prediction models

Anmerkungen:

© The Author(s), under exclusive licence to Japanese Society of Nephrology 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

doi:

10.1007/s10157-023-02402-5

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

SPR054260027