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An external validation of the Kidney Donor Risk Index in the UK transplant population in the presence of semi-competing events
BACKGROUND: Transplantation represents the optimal treatment for many patients with end-stage kidney disease. When a donor kidney is available to a waitlisted patient, clinicians responsible for the care of the potential recipient must make the decision to accept or decline the offer based upon comp...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10662562/ https://www.ncbi.nlm.nih.gov/pubmed/37986130 http://dx.doi.org/10.1186/s41512-023-00159-9 |
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author | Riley, Stephanie Tam, Kimberly Tse, Wai-Yee Connor, Andrew Wei, Yinghui |
author_facet | Riley, Stephanie Tam, Kimberly Tse, Wai-Yee Connor, Andrew Wei, Yinghui |
author_sort | Riley, Stephanie |
collection | PubMed |
description | BACKGROUND: Transplantation represents the optimal treatment for many patients with end-stage kidney disease. When a donor kidney is available to a waitlisted patient, clinicians responsible for the care of the potential recipient must make the decision to accept or decline the offer based upon complex and variable information about the donor, the recipient and the transplant process. A clinical prediction model may be able to support clinicians in their decision-making. The Kidney Donor Risk Index (KDRI) was developed in the United States to predict graft failure following kidney transplantation. The survival process following transplantation consists of semi-competing events where death precludes graft failure, but not vice-versa. METHODS: We externally validated the KDRI in the UK kidney transplant population and assessed whether validation under a semi-competing risks framework impacted predictive performance. Additionally, we explored whether the KDRI requires updating. We included 20,035 adult recipients of first, deceased donor, single, kidney-only transplants between January 1, 2004, and December 31, 2018, collected by the UK Transplant Registry and held by NHS Blood and Transplant. The outcomes of interest were 1- and 5-year graft failure following transplantation. In light of the semi-competing events, recipient death was handled in two ways: censoring patients at the time of death and modelling death as a competing event. Cox proportional hazard models were used to validate the KDRI when censoring graft failure by death, and cause-specific Cox models were used to account for death as a competing event. RESULTS: The KDRI underestimated event probabilities for those at higher risk of graft failure. For 5-year graft failure, discrimination was poorer in the semi-competing risks model (0.625, 95% CI 0.611 to 0.640;0.611, 95% CI 0.597 to 0.625), but predictions were more accurate (Brier score 0.117, 95% CI 0.112 to 0.121; 0.114, 95% CI 0.109 to 0.118). Calibration plots were similar regardless of whether the death was modelled as a competing event or not. Updating the KDRI worsened calibration, but marginally improved discrimination. CONCLUSIONS: Predictive performance for 1-year graft failure was similar between death-censored and competing event graft failure, but differences appeared when predicting 5-year graft failure. The updated index did not have superior performance and we conclude that updating the KDRI in the present form is not required. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s41512-023-00159-9. |
format | Online Article Text |
id | pubmed-10662562 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-106625622023-11-21 An external validation of the Kidney Donor Risk Index in the UK transplant population in the presence of semi-competing events Riley, Stephanie Tam, Kimberly Tse, Wai-Yee Connor, Andrew Wei, Yinghui Diagn Progn Res Research BACKGROUND: Transplantation represents the optimal treatment for many patients with end-stage kidney disease. When a donor kidney is available to a waitlisted patient, clinicians responsible for the care of the potential recipient must make the decision to accept or decline the offer based upon complex and variable information about the donor, the recipient and the transplant process. A clinical prediction model may be able to support clinicians in their decision-making. The Kidney Donor Risk Index (KDRI) was developed in the United States to predict graft failure following kidney transplantation. The survival process following transplantation consists of semi-competing events where death precludes graft failure, but not vice-versa. METHODS: We externally validated the KDRI in the UK kidney transplant population and assessed whether validation under a semi-competing risks framework impacted predictive performance. Additionally, we explored whether the KDRI requires updating. We included 20,035 adult recipients of first, deceased donor, single, kidney-only transplants between January 1, 2004, and December 31, 2018, collected by the UK Transplant Registry and held by NHS Blood and Transplant. The outcomes of interest were 1- and 5-year graft failure following transplantation. In light of the semi-competing events, recipient death was handled in two ways: censoring patients at the time of death and modelling death as a competing event. Cox proportional hazard models were used to validate the KDRI when censoring graft failure by death, and cause-specific Cox models were used to account for death as a competing event. RESULTS: The KDRI underestimated event probabilities for those at higher risk of graft failure. For 5-year graft failure, discrimination was poorer in the semi-competing risks model (0.625, 95% CI 0.611 to 0.640;0.611, 95% CI 0.597 to 0.625), but predictions were more accurate (Brier score 0.117, 95% CI 0.112 to 0.121; 0.114, 95% CI 0.109 to 0.118). Calibration plots were similar regardless of whether the death was modelled as a competing event or not. Updating the KDRI worsened calibration, but marginally improved discrimination. CONCLUSIONS: Predictive performance for 1-year graft failure was similar between death-censored and competing event graft failure, but differences appeared when predicting 5-year graft failure. The updated index did not have superior performance and we conclude that updating the KDRI in the present form is not required. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s41512-023-00159-9. BioMed Central 2023-11-21 /pmc/articles/PMC10662562/ /pubmed/37986130 http://dx.doi.org/10.1186/s41512-023-00159-9 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Research Riley, Stephanie Tam, Kimberly Tse, Wai-Yee Connor, Andrew Wei, Yinghui An external validation of the Kidney Donor Risk Index in the UK transplant population in the presence of semi-competing events |
title | An external validation of the Kidney Donor Risk Index in the UK transplant population in the presence of semi-competing events |
title_full | An external validation of the Kidney Donor Risk Index in the UK transplant population in the presence of semi-competing events |
title_fullStr | An external validation of the Kidney Donor Risk Index in the UK transplant population in the presence of semi-competing events |
title_full_unstemmed | An external validation of the Kidney Donor Risk Index in the UK transplant population in the presence of semi-competing events |
title_short | An external validation of the Kidney Donor Risk Index in the UK transplant population in the presence of semi-competing events |
title_sort | external validation of the kidney donor risk index in the uk transplant population in the presence of semi-competing events |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10662562/ https://www.ncbi.nlm.nih.gov/pubmed/37986130 http://dx.doi.org/10.1186/s41512-023-00159-9 |
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