The Transplant Index

A Novel Method to Predict Adult Liver Transplant Waitlist Outcomes

Michael Kueht, Syed Shahyan Bakhtiyar, Jessie Wu, Hao Liu, Warren H. Chan, Henrik Petrowsky, Irbaz B. Riaz, Ronald Cotton, Nhu Thao Galvan, Christine O'Mahony, John Goss, Abbas Rana

Research output: Contribution to journalArticle

Abstract

BACKGROUND: The field of transplantation is shifting outcome priorities from 1-year survival to more comprehensive metrics including transplant rate and waitlist mortality. Identifying disenfranchised candidates (high waitlist death risk, low transplantation chance) can be a focus to improve outcomes. METHODS: Given the waitlist outcomes (continued waiting, death, and transplantation), we aimed to identify factors predicting the likelihood candidates would undergo transplant or death by performing multivariate competing risk analyses of 121 198 candidates in the United Network for Organ Sharing database. We incorporated these probabilities (likelihood of transplantation and waitlist death) into the Transplant Index (TI) to identify disenfranchised candidates (high likelihood of death, low likelihood of transplantation). RESULTS: Half of the patients had low incidences of death and transplantation within 90 days (TI-inactive). The remaining were stratified into 10 groups within a predictive index, the TI. Low TI groups (TI 10, 20, 30) had 90-day transplant rates of 50.8%, 41.6%, and 39.8% respectively, and their respective 90-day death rates were 22.8%, 15.1%, and 10.9%. High TI groups (TI 80, 90, >90) had 90-day transplantation rates of 53.7%, 64.3%, and 73.9%, respectively, and 90-day death rates of 5.9%, 6.5%, and 6.7% respectively. As TI increased, the likelihood of transplantation increased and that of death decreased. Low-TI groups represent the disenfranchised candidates. CONCLUSIONS: The TI identifies disenfranchised candidates on the adult liver transplant waitlist. This is the subgroup that would benefit the most from efforts to increase access to transplantation.

Original languageEnglish (US)
Pages (from-to)1152-1158
Number of pages7
JournalTransplantation
Volume103
Issue number6
DOIs
StatePublished - Jun 1 2019
Externally publishedYes

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Transplants
Liver
Transplantation
Mortality
Databases
Survival
Incidence

ASJC Scopus subject areas

  • Transplantation

Cite this

Kueht, M., Bakhtiyar, S. S., Wu, J., Liu, H., Chan, W. H., Petrowsky, H., ... Rana, A. (2019). The Transplant Index: A Novel Method to Predict Adult Liver Transplant Waitlist Outcomes. Transplantation, 103(6), 1152-1158. https://doi.org/10.1097/TP.0000000000002479

The Transplant Index : A Novel Method to Predict Adult Liver Transplant Waitlist Outcomes. / Kueht, Michael; Bakhtiyar, Syed Shahyan; Wu, Jessie; Liu, Hao; Chan, Warren H.; Petrowsky, Henrik; Riaz, Irbaz B.; Cotton, Ronald; Galvan, Nhu Thao; O'Mahony, Christine; Goss, John; Rana, Abbas.

In: Transplantation, Vol. 103, No. 6, 01.06.2019, p. 1152-1158.

Research output: Contribution to journalArticle

Kueht, M, Bakhtiyar, SS, Wu, J, Liu, H, Chan, WH, Petrowsky, H, Riaz, IB, Cotton, R, Galvan, NT, O'Mahony, C, Goss, J & Rana, A 2019, 'The Transplant Index: A Novel Method to Predict Adult Liver Transplant Waitlist Outcomes', Transplantation, vol. 103, no. 6, pp. 1152-1158. https://doi.org/10.1097/TP.0000000000002479
Kueht, Michael ; Bakhtiyar, Syed Shahyan ; Wu, Jessie ; Liu, Hao ; Chan, Warren H. ; Petrowsky, Henrik ; Riaz, Irbaz B. ; Cotton, Ronald ; Galvan, Nhu Thao ; O'Mahony, Christine ; Goss, John ; Rana, Abbas. / The Transplant Index : A Novel Method to Predict Adult Liver Transplant Waitlist Outcomes. In: Transplantation. 2019 ; Vol. 103, No. 6. pp. 1152-1158.
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abstract = "BACKGROUND: The field of transplantation is shifting outcome priorities from 1-year survival to more comprehensive metrics including transplant rate and waitlist mortality. Identifying disenfranchised candidates (high waitlist death risk, low transplantation chance) can be a focus to improve outcomes. METHODS: Given the waitlist outcomes (continued waiting, death, and transplantation), we aimed to identify factors predicting the likelihood candidates would undergo transplant or death by performing multivariate competing risk analyses of 121 198 candidates in the United Network for Organ Sharing database. We incorporated these probabilities (likelihood of transplantation and waitlist death) into the Transplant Index (TI) to identify disenfranchised candidates (high likelihood of death, low likelihood of transplantation). RESULTS: Half of the patients had low incidences of death and transplantation within 90 days (TI-inactive). The remaining were stratified into 10 groups within a predictive index, the TI. Low TI groups (TI 10, 20, 30) had 90-day transplant rates of 50.8{\%}, 41.6{\%}, and 39.8{\%} respectively, and their respective 90-day death rates were 22.8{\%}, 15.1{\%}, and 10.9{\%}. High TI groups (TI 80, 90, >90) had 90-day transplantation rates of 53.7{\%}, 64.3{\%}, and 73.9{\%}, respectively, and 90-day death rates of 5.9{\%}, 6.5{\%}, and 6.7{\%} respectively. As TI increased, the likelihood of transplantation increased and that of death decreased. Low-TI groups represent the disenfranchised candidates. CONCLUSIONS: The TI identifies disenfranchised candidates on the adult liver transplant waitlist. This is the subgroup that would benefit the most from efforts to increase access to transplantation.",
author = "Michael Kueht and Bakhtiyar, {Syed Shahyan} and Jessie Wu and Hao Liu and Chan, {Warren H.} and Henrik Petrowsky and Riaz, {Irbaz B.} and Ronald Cotton and Galvan, {Nhu Thao} and Christine O'Mahony and John Goss and Abbas Rana",
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T2 - A Novel Method to Predict Adult Liver Transplant Waitlist Outcomes

AU - Kueht, Michael

AU - Bakhtiyar, Syed Shahyan

AU - Wu, Jessie

AU - Liu, Hao

AU - Chan, Warren H.

AU - Petrowsky, Henrik

AU - Riaz, Irbaz B.

AU - Cotton, Ronald

AU - Galvan, Nhu Thao

AU - O'Mahony, Christine

AU - Goss, John

AU - Rana, Abbas

PY - 2019/6/1

Y1 - 2019/6/1

N2 - BACKGROUND: The field of transplantation is shifting outcome priorities from 1-year survival to more comprehensive metrics including transplant rate and waitlist mortality. Identifying disenfranchised candidates (high waitlist death risk, low transplantation chance) can be a focus to improve outcomes. METHODS: Given the waitlist outcomes (continued waiting, death, and transplantation), we aimed to identify factors predicting the likelihood candidates would undergo transplant or death by performing multivariate competing risk analyses of 121 198 candidates in the United Network for Organ Sharing database. We incorporated these probabilities (likelihood of transplantation and waitlist death) into the Transplant Index (TI) to identify disenfranchised candidates (high likelihood of death, low likelihood of transplantation). RESULTS: Half of the patients had low incidences of death and transplantation within 90 days (TI-inactive). The remaining were stratified into 10 groups within a predictive index, the TI. Low TI groups (TI 10, 20, 30) had 90-day transplant rates of 50.8%, 41.6%, and 39.8% respectively, and their respective 90-day death rates were 22.8%, 15.1%, and 10.9%. High TI groups (TI 80, 90, >90) had 90-day transplantation rates of 53.7%, 64.3%, and 73.9%, respectively, and 90-day death rates of 5.9%, 6.5%, and 6.7% respectively. As TI increased, the likelihood of transplantation increased and that of death decreased. Low-TI groups represent the disenfranchised candidates. CONCLUSIONS: The TI identifies disenfranchised candidates on the adult liver transplant waitlist. This is the subgroup that would benefit the most from efforts to increase access to transplantation.

AB - BACKGROUND: The field of transplantation is shifting outcome priorities from 1-year survival to more comprehensive metrics including transplant rate and waitlist mortality. Identifying disenfranchised candidates (high waitlist death risk, low transplantation chance) can be a focus to improve outcomes. METHODS: Given the waitlist outcomes (continued waiting, death, and transplantation), we aimed to identify factors predicting the likelihood candidates would undergo transplant or death by performing multivariate competing risk analyses of 121 198 candidates in the United Network for Organ Sharing database. We incorporated these probabilities (likelihood of transplantation and waitlist death) into the Transplant Index (TI) to identify disenfranchised candidates (high likelihood of death, low likelihood of transplantation). RESULTS: Half of the patients had low incidences of death and transplantation within 90 days (TI-inactive). The remaining were stratified into 10 groups within a predictive index, the TI. Low TI groups (TI 10, 20, 30) had 90-day transplant rates of 50.8%, 41.6%, and 39.8% respectively, and their respective 90-day death rates were 22.8%, 15.1%, and 10.9%. High TI groups (TI 80, 90, >90) had 90-day transplantation rates of 53.7%, 64.3%, and 73.9%, respectively, and 90-day death rates of 5.9%, 6.5%, and 6.7% respectively. As TI increased, the likelihood of transplantation increased and that of death decreased. Low-TI groups represent the disenfranchised candidates. CONCLUSIONS: The TI identifies disenfranchised candidates on the adult liver transplant waitlist. This is the subgroup that would benefit the most from efforts to increase access to transplantation.

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DO - 10.1097/TP.0000000000002479

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