Survival and Quality of Life Impact of a Risk-based Allocation Algorithm for Deceased Donor Kidney Transplantation. Issue 9 (September 2018)
- Record Type:
- Journal Article
- Title:
- Survival and Quality of Life Impact of a Risk-based Allocation Algorithm for Deceased Donor Kidney Transplantation. Issue 9 (September 2018)
- Main Title:
- Survival and Quality of Life Impact of a Risk-based Allocation Algorithm for Deceased Donor Kidney Transplantation
- Authors:
- Calisa, Vaishnavi
Craig, Jonathan C.
Howard, Kirsten
Howell, Martin
Alexander, Stephen
Chadban, Steven J.
Clayton, Philip
Lim, Wai H.
Kanellis, John
Wyburn, Kate
Johnson, David W.
McDonald, Stephen P.
Opdam, Helen
Chapman, Jeremy R.
Yang, Jean
Wong, Germaine - Abstract:
- Abstract : Background: To determine the incremental gains in graft and patient survival under a risk-based, deceased donor kidney allocation compared with the current Australian algorithm. Methods: Risk-based matching algorithms were applied to first graft, kidney only recipients (n = 7513) transplanted in Australia between 1994 and 2013. Probabilistic models were used to compare the waiting time, life, and QALYs and graft years between the 8 risk-based allocation strategies against current practice. Results: Compared with current practice, Kidney Donor Risk Index-Estimated Posttransplant Survival matching of the lowest 20% of scores reduced median waiting time by 0.64 years (95% confidence interval [CI], 0.52-0.73) for recipients aged 30 years or younger, but increased waiting time by 0.94 years (95% CI, 0.79-1.09) for recipients older than 60 years. Among all age groups, the greatest gains occurred if Kidney Donor Risk Index-Estimated Posttransplant Survival matching of the lowest 30% of scores was used, incurring a median overall gain of 0.63 (95% CI, 0.03-1.25) life years and 0.78 (95% CI, 0.30-1.26) graft years compared with the current practice. A median gain in survival of 1.91 years for younger recipients (aged 30-45 years) was offset by a median reduction in survival (by 0.95 life years) among the older recipients. Prioritization of lower-quality donor kidneys for older candidates reduced the waiting time for recipients older than 45 years, but no changes in graftAbstract : Background: To determine the incremental gains in graft and patient survival under a risk-based, deceased donor kidney allocation compared with the current Australian algorithm. Methods: Risk-based matching algorithms were applied to first graft, kidney only recipients (n = 7513) transplanted in Australia between 1994 and 2013. Probabilistic models were used to compare the waiting time, life, and QALYs and graft years between the 8 risk-based allocation strategies against current practice. Results: Compared with current practice, Kidney Donor Risk Index-Estimated Posttransplant Survival matching of the lowest 20% of scores reduced median waiting time by 0.64 years (95% confidence interval [CI], 0.52-0.73) for recipients aged 30 years or younger, but increased waiting time by 0.94 years (95% CI, 0.79-1.09) for recipients older than 60 years. Among all age groups, the greatest gains occurred if Kidney Donor Risk Index-Estimated Posttransplant Survival matching of the lowest 30% of scores was used, incurring a median overall gain of 0.63 (95% CI, 0.03-1.25) life years and 0.78 (95% CI, 0.30-1.26) graft years compared with the current practice. A median gain in survival of 1.91 years for younger recipients (aged 30-45 years) was offset by a median reduction in survival (by 0.95 life years) among the older recipients. Prioritization of lower-quality donor kidneys for older candidates reduced the waiting time for recipients older than 45 years, but no changes in graft and patient survivals were observed. Conclusions: Risk-based matching engendered a moderate, overall increase in graft and patient survivals, accrued through benefits for recipients 45 years or younger but disadvantage to recipients older than 60 years. Abstract : This simulation using Australian registry data underscores the challenges of deceased donor kidney allocation systems, showing that a new risk-based matching allocation algorithm would be associated with increased graft and patient survival, benefiting younger in detriment of older candidates. Supplemental digital content is available in the text. … (more)
- Is Part Of:
- Transplantation. Volume 102:Issue 9(2018)
- Journal:
- Transplantation
- Issue:
- Volume 102:Issue 9(2018)
- Issue Display:
- Volume 102, Issue 9 (2018)
- Year:
- 2018
- Volume:
- 102
- Issue:
- 9
- Issue Sort Value:
- 2018-0102-0009-0000
- Page Start:
- Page End:
- Publication Date:
- 2018-09
- Subjects:
- Transplantation of organs, tissues, etc -- Periodicals
Transplantation immunology -- Periodicals
617.95 - Journal URLs:
- http://journals.lww.com/pages/default.aspx ↗
- DOI:
- 10.1097/TP.0000000000002144 ↗
- Languages:
- English
- ISSNs:
- 0041-1337
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 9024.990000
British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 10751.xml