An adjustable predictive score of graft survival in kidney transplant patients and the levels of risk linked to de novo donor-specific anti-HLA antibodies.
Most predictive models and scores of graft survival in renal transplantation include factors known before transplant or at the end of the first year. They cannot be updated thereafter, even in patients developing donor-specific anti-HLA antibodies and acute rejection.We developed a conditional and a...
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doaj-fc8c1a3d007e42a6bc63e35a354ff1cc2020-11-24T21:49:12ZengPublic Library of Science (PLoS)PLoS ONE1932-62032017-01-01127e018023610.1371/journal.pone.0180236An adjustable predictive score of graft survival in kidney transplant patients and the levels of risk linked to de novo donor-specific anti-HLA antibodies.Aurélie PrémaudMatthieu FillouxPhilippe GataultAntoine ThierryMatthias BüchlerEliza MunteanuPierre MarquetMarie EssigAnnick RousseauMost predictive models and scores of graft survival in renal transplantation include factors known before transplant or at the end of the first year. They cannot be updated thereafter, even in patients developing donor-specific anti-HLA antibodies and acute rejection.We developed a conditional and adjustable score for prediction of graft failure (AdGFS) up to 10 years post-transplantation in 664 kidney transplant patients. AdGFS was externally validated and calibrated in 896 kidney transplant patients.The final model included five baseline factors (pretransplant non donor-specific anti-HLA antibodies, donor age, serum creatinine measured at 1 year, longitudinal serum creatinine clusters during the first year, proteinuria measured at 1 year), and two predictors updated over time (de novo donor-specific anti-HLA antibodies and first acute rejection). AdGFS was able to stratify patients into four risk-groups, at different post-transplantation times. It showed good discrimination (time-dependent ROC curve at ten years: 0.83 (CI95% 0.76-0.89).http://europepmc.org/articles/PMC5495333?pdf=render |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Aurélie Prémaud Matthieu Filloux Philippe Gatault Antoine Thierry Matthias Büchler Eliza Munteanu Pierre Marquet Marie Essig Annick Rousseau |
spellingShingle |
Aurélie Prémaud Matthieu Filloux Philippe Gatault Antoine Thierry Matthias Büchler Eliza Munteanu Pierre Marquet Marie Essig Annick Rousseau An adjustable predictive score of graft survival in kidney transplant patients and the levels of risk linked to de novo donor-specific anti-HLA antibodies. PLoS ONE |
author_facet |
Aurélie Prémaud Matthieu Filloux Philippe Gatault Antoine Thierry Matthias Büchler Eliza Munteanu Pierre Marquet Marie Essig Annick Rousseau |
author_sort |
Aurélie Prémaud |
title |
An adjustable predictive score of graft survival in kidney transplant patients and the levels of risk linked to de novo donor-specific anti-HLA antibodies. |
title_short |
An adjustable predictive score of graft survival in kidney transplant patients and the levels of risk linked to de novo donor-specific anti-HLA antibodies. |
title_full |
An adjustable predictive score of graft survival in kidney transplant patients and the levels of risk linked to de novo donor-specific anti-HLA antibodies. |
title_fullStr |
An adjustable predictive score of graft survival in kidney transplant patients and the levels of risk linked to de novo donor-specific anti-HLA antibodies. |
title_full_unstemmed |
An adjustable predictive score of graft survival in kidney transplant patients and the levels of risk linked to de novo donor-specific anti-HLA antibodies. |
title_sort |
adjustable predictive score of graft survival in kidney transplant patients and the levels of risk linked to de novo donor-specific anti-hla antibodies. |
publisher |
Public Library of Science (PLoS) |
series |
PLoS ONE |
issn |
1932-6203 |
publishDate |
2017-01-01 |
description |
Most predictive models and scores of graft survival in renal transplantation include factors known before transplant or at the end of the first year. They cannot be updated thereafter, even in patients developing donor-specific anti-HLA antibodies and acute rejection.We developed a conditional and adjustable score for prediction of graft failure (AdGFS) up to 10 years post-transplantation in 664 kidney transplant patients. AdGFS was externally validated and calibrated in 896 kidney transplant patients.The final model included five baseline factors (pretransplant non donor-specific anti-HLA antibodies, donor age, serum creatinine measured at 1 year, longitudinal serum creatinine clusters during the first year, proteinuria measured at 1 year), and two predictors updated over time (de novo donor-specific anti-HLA antibodies and first acute rejection). AdGFS was able to stratify patients into four risk-groups, at different post-transplantation times. It showed good discrimination (time-dependent ROC curve at ten years: 0.83 (CI95% 0.76-0.89). |
url |
http://europepmc.org/articles/PMC5495333?pdf=render |
work_keys_str_mv |
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