The International IgA Nephropathy Network Prediction Tool Underestimates Disease Progression in Indian Patients.
IgA nephropathy
Indians
outcome
prediction equation
risk
validity
Journal
Kidney international reports
ISSN: 2468-0249
Titre abrégé: Kidney Int Rep
Pays: United States
ID NLM: 101684752
Informations de publication
Date de publication:
Jun 2022
Jun 2022
Historique:
received:
16
11
2021
revised:
16
02
2022
accepted:
08
03
2022
entrez:
10
6
2022
pubmed:
11
6
2022
medline:
11
6
2022
Statut:
epublish
Résumé
International IgA nephropathy (IgAN) network (IIgANN) prediction tool was developed to predict risk of progression in IgAN. We attempted to externally validate this tool in an Indian cohort because the original study did not include Indian patients. Adult patients with primary IgAN were stratified to low, intermediate, higher, and highest risk groups, as per the original model. Primary outcome was reduction in estimated glomerular filtration rate (eGFR) by >50% or kidney failure. Both models were evaluated using discrimination: concordance statistics (C-statistics), time-dependent receiver operating characteristic (ROC) curves, R A total of 316 patients with median follow-up of 2.8 years had 87 primary outcome events. Both models with and without race showed reasonable discrimination (C-statistics 0.845 for both models, R IIgANN prediction tool showed reasonable discrimination of risk in Indian patients but underestimated the trajectory of disease progression across all risk groups.
Identifiants
pubmed: 35685319
doi: 10.1016/j.ekir.2022.03.016
pii: S2468-0249(22)01236-0
pmc: PMC9171624
doi:
Types de publication
Journal Article
Langues
eng
Pagination
1210-1218Informations de copyright
© 2022 International Society of Nephrology. Published by Elsevier Inc.
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