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A novel prognostic nomogram predicts premature failure of kidney allografts with IgA nephropathy recurrence
BACKGROUND: Recurrence of immunoglobulin A nephropathy (IgAN) limits graft survival in kidney transplantation. However, predictors of a worse outcome are poorly understood. METHODS: Among 442 kidney transplant recipients (KTRs) with IgAN, 83 (18.8%) KTRs exhibited biopsy-proven IgAN recurrence betwe...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10660147/ https://www.ncbi.nlm.nih.gov/pubmed/37202220 http://dx.doi.org/10.1093/ndt/gfad097 |
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author | Bednarova, Kamila Mjøen, Geir Hruba, Petra Modos, Istvan Voska, Ludek Kollar, Marek Viklicky, Ondrej |
author_facet | Bednarova, Kamila Mjøen, Geir Hruba, Petra Modos, Istvan Voska, Ludek Kollar, Marek Viklicky, Ondrej |
author_sort | Bednarova, Kamila |
collection | PubMed |
description | BACKGROUND: Recurrence of immunoglobulin A nephropathy (IgAN) limits graft survival in kidney transplantation. However, predictors of a worse outcome are poorly understood. METHODS: Among 442 kidney transplant recipients (KTRs) with IgAN, 83 (18.8%) KTRs exhibited biopsy-proven IgAN recurrence between 1994 and 2020 and were enrolled in the derivation cohort. A multivariable Cox model predicting allograft loss based on clinical data at the biopsy and a web-based nomogram were developed. The nomogram was externally validated using an independent cohort (n = 67). RESULTS: Patient age <43 years {hazard ratio [HR] 2.20 [95% confidence interval (CI) 1.41–3.43], P < .001}, female gender [HR 1.72 (95% CI 1.07–2.76), P = .026] and retransplantation status [HR 1.98 (95% CI 1.13–3.36), P = .016] were identified as independent risk factors for IgAN recurrence. Patient age <43 years [HR 2.77 (95% CI 1.17–6.56), P = .02], proteinuria >1 g/24 hours [HR 3.12 (95% CI 1.40–6.91), P = .005] and C4d positivity [HR 2.93 (95% CI 1.26–6.83), P = .013] were found to be associated with graft loss in patients with IgAN recurrence. A nomogram predicting graft loss was constructed based on clinical and histological variables, with a C statistic of 0.736 for the derivation cohort and 0.807 for the external validation cohort. CONCLUSIONS: The established nomogram identified patients with recurrent IgAN at risk for premature graft loss with good predictive performance. |
format | Online Article Text |
id | pubmed-10660147 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-106601472023-05-18 A novel prognostic nomogram predicts premature failure of kidney allografts with IgA nephropathy recurrence Bednarova, Kamila Mjøen, Geir Hruba, Petra Modos, Istvan Voska, Ludek Kollar, Marek Viklicky, Ondrej Nephrol Dial Transplant Original Article BACKGROUND: Recurrence of immunoglobulin A nephropathy (IgAN) limits graft survival in kidney transplantation. However, predictors of a worse outcome are poorly understood. METHODS: Among 442 kidney transplant recipients (KTRs) with IgAN, 83 (18.8%) KTRs exhibited biopsy-proven IgAN recurrence between 1994 and 2020 and were enrolled in the derivation cohort. A multivariable Cox model predicting allograft loss based on clinical data at the biopsy and a web-based nomogram were developed. The nomogram was externally validated using an independent cohort (n = 67). RESULTS: Patient age <43 years {hazard ratio [HR] 2.20 [95% confidence interval (CI) 1.41–3.43], P < .001}, female gender [HR 1.72 (95% CI 1.07–2.76), P = .026] and retransplantation status [HR 1.98 (95% CI 1.13–3.36), P = .016] were identified as independent risk factors for IgAN recurrence. Patient age <43 years [HR 2.77 (95% CI 1.17–6.56), P = .02], proteinuria >1 g/24 hours [HR 3.12 (95% CI 1.40–6.91), P = .005] and C4d positivity [HR 2.93 (95% CI 1.26–6.83), P = .013] were found to be associated with graft loss in patients with IgAN recurrence. A nomogram predicting graft loss was constructed based on clinical and histological variables, with a C statistic of 0.736 for the derivation cohort and 0.807 for the external validation cohort. CONCLUSIONS: The established nomogram identified patients with recurrent IgAN at risk for premature graft loss with good predictive performance. Oxford University Press 2023-05-18 /pmc/articles/PMC10660147/ /pubmed/37202220 http://dx.doi.org/10.1093/ndt/gfad097 Text en © The Author(s) 2023. Published by Oxford University Press on behalf of the ERA. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Article Bednarova, Kamila Mjøen, Geir Hruba, Petra Modos, Istvan Voska, Ludek Kollar, Marek Viklicky, Ondrej A novel prognostic nomogram predicts premature failure of kidney allografts with IgA nephropathy recurrence |
title | A novel prognostic nomogram predicts premature failure of kidney allografts with IgA nephropathy recurrence |
title_full | A novel prognostic nomogram predicts premature failure of kidney allografts with IgA nephropathy recurrence |
title_fullStr | A novel prognostic nomogram predicts premature failure of kidney allografts with IgA nephropathy recurrence |
title_full_unstemmed | A novel prognostic nomogram predicts premature failure of kidney allografts with IgA nephropathy recurrence |
title_short | A novel prognostic nomogram predicts premature failure of kidney allografts with IgA nephropathy recurrence |
title_sort | novel prognostic nomogram predicts premature failure of kidney allografts with iga nephropathy recurrence |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10660147/ https://www.ncbi.nlm.nih.gov/pubmed/37202220 http://dx.doi.org/10.1093/ndt/gfad097 |
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