Dynamic predictions of long-term kidney graft failure: an information tool promoting patient-centred care

Research output: Contribution to journalJournal articleResearchpeer-review

Standard

Dynamic predictions of long-term kidney graft failure : an information tool promoting patient-centred care. / DIVAT Consortium.

In: Nephrology, Dialysis, Transplantation, 11.03.2019.

Research output: Contribution to journalJournal articleResearchpeer-review

Harvard

DIVAT Consortium 2019, 'Dynamic predictions of long-term kidney graft failure: an information tool promoting patient-centred care', Nephrology, Dialysis, Transplantation. https://doi.org/10.1093/ndt/gfz027

APA

DIVAT Consortium (2019). Dynamic predictions of long-term kidney graft failure: an information tool promoting patient-centred care. Nephrology, Dialysis, Transplantation. https://doi.org/10.1093/ndt/gfz027

Vancouver

DIVAT Consortium. Dynamic predictions of long-term kidney graft failure: an information tool promoting patient-centred care. Nephrology, Dialysis, Transplantation. 2019 Mar 11. https://doi.org/10.1093/ndt/gfz027

Author

DIVAT Consortium. / Dynamic predictions of long-term kidney graft failure : an information tool promoting patient-centred care. In: Nephrology, Dialysis, Transplantation. 2019.

Bibtex

@article{295e2715407b4eaea66db23dccfba6ff,
title = "Dynamic predictions of long-term kidney graft failure: an information tool promoting patient-centred care",
abstract = "BACKGROUND: Informing kidney transplant recipients of their prognosis and disease progression is of primary importance in a patient-centred vision of care. By participating in decisions from the outset, transplant recipients may be more adherent to complex medical regimens due to their enhanced understanding.METHODS: We proposed to include repeated measurements of serum creatinine (SCr), in addition to baseline characteristics, in order to obtain dynamic predictions of the graft failure risk that could be updated continuously during patient follow-up. Adult recipients from the French Donn{\'e}es Informatis{\'e}es et VAlid{\'e}es en Transplantation (DIVAT) cohort transplanted for the first or second time from a heart-beating or living donor and alive with a functioning graft at 1 year post-transplantation were included.RESULTS: The model was composed of six baseline parameters, in addition to the SCr evolution. We validated the dynamic predictions by evaluating both discrimination and calibration accuracy. The area under the receiver operating characteristic curve varied from 0.72 to 0.76 for prediction times at 1 and 6 years post-transplantation, respectively, while calibration plots showed correct accuracy. We also provided an online application tool (https://shiny.idbc.fr/DynPG).CONCLUSION: We have created a tool that, for the first time in kidney transplantation, predicts graft failure risk both at an individual patient level and dynamically. We believe that this tool would encourage willing patients into participative medicine.",
author = "Marie-C{\'e}cile Fournier and Yohann Foucher and Paul Blanche and Christophe Legendre and Sophie Girerd and Marc Ladri{\`e}re and Emmanuel Morelon and Fanny Buron and Lionel Rostaing and Nassim Kamar and Georges Mourad and Val{\'e}rie Garrigue and Gr{\'e}goire Couvrat-Desvergnes and Magali Giral and Etienne Dantan and {DIVAT Consortium}",
note = "{\circledC} The Author(s) 2019. Published by Oxford University Press on behalf of ERA-EDTA. All rights reserved.",
year = "2019",
month = "3",
day = "11",
doi = "10.1093/ndt/gfz027",
language = "English",
journal = "Nephrology, Dialysis, Transplantation",
issn = "0931-0509",
publisher = "Oxford University Press",

}

RIS

TY - JOUR

T1 - Dynamic predictions of long-term kidney graft failure

T2 - an information tool promoting patient-centred care

AU - Fournier, Marie-Cécile

AU - Foucher, Yohann

AU - Blanche, Paul

AU - Legendre, Christophe

AU - Girerd, Sophie

AU - Ladrière, Marc

AU - Morelon, Emmanuel

AU - Buron, Fanny

AU - Rostaing, Lionel

AU - Kamar, Nassim

AU - Mourad, Georges

AU - Garrigue, Valérie

AU - Couvrat-Desvergnes, Grégoire

AU - Giral, Magali

AU - Dantan, Etienne

AU - DIVAT Consortium

N1 - © The Author(s) 2019. Published by Oxford University Press on behalf of ERA-EDTA. All rights reserved.

PY - 2019/3/11

Y1 - 2019/3/11

N2 - BACKGROUND: Informing kidney transplant recipients of their prognosis and disease progression is of primary importance in a patient-centred vision of care. By participating in decisions from the outset, transplant recipients may be more adherent to complex medical regimens due to their enhanced understanding.METHODS: We proposed to include repeated measurements of serum creatinine (SCr), in addition to baseline characteristics, in order to obtain dynamic predictions of the graft failure risk that could be updated continuously during patient follow-up. Adult recipients from the French Données Informatisées et VAlidées en Transplantation (DIVAT) cohort transplanted for the first or second time from a heart-beating or living donor and alive with a functioning graft at 1 year post-transplantation were included.RESULTS: The model was composed of six baseline parameters, in addition to the SCr evolution. We validated the dynamic predictions by evaluating both discrimination and calibration accuracy. The area under the receiver operating characteristic curve varied from 0.72 to 0.76 for prediction times at 1 and 6 years post-transplantation, respectively, while calibration plots showed correct accuracy. We also provided an online application tool (https://shiny.idbc.fr/DynPG).CONCLUSION: We have created a tool that, for the first time in kidney transplantation, predicts graft failure risk both at an individual patient level and dynamically. We believe that this tool would encourage willing patients into participative medicine.

AB - BACKGROUND: Informing kidney transplant recipients of their prognosis and disease progression is of primary importance in a patient-centred vision of care. By participating in decisions from the outset, transplant recipients may be more adherent to complex medical regimens due to their enhanced understanding.METHODS: We proposed to include repeated measurements of serum creatinine (SCr), in addition to baseline characteristics, in order to obtain dynamic predictions of the graft failure risk that could be updated continuously during patient follow-up. Adult recipients from the French Données Informatisées et VAlidées en Transplantation (DIVAT) cohort transplanted for the first or second time from a heart-beating or living donor and alive with a functioning graft at 1 year post-transplantation were included.RESULTS: The model was composed of six baseline parameters, in addition to the SCr evolution. We validated the dynamic predictions by evaluating both discrimination and calibration accuracy. The area under the receiver operating characteristic curve varied from 0.72 to 0.76 for prediction times at 1 and 6 years post-transplantation, respectively, while calibration plots showed correct accuracy. We also provided an online application tool (https://shiny.idbc.fr/DynPG).CONCLUSION: We have created a tool that, for the first time in kidney transplantation, predicts graft failure risk both at an individual patient level and dynamically. We believe that this tool would encourage willing patients into participative medicine.

U2 - 10.1093/ndt/gfz027

DO - 10.1093/ndt/gfz027

M3 - Journal article

JO - Nephrology, Dialysis, Transplantation

JF - Nephrology, Dialysis, Transplantation

SN - 0931-0509

ER -

ID: 217017346