The survival outcomes following liver transplantation (SOFT) score: Validation with contemporaneous data and stratification of high-risk cohorts

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Abstract

Models to project survival after liver transplantation are important to optimize outcomes. We introduced the survival outcomes following liver transplantation (SOFT) score in 2008 (1) and designed to predict survival in liver recipients at three months post-transplant with a C statistic of 0.70. Our objective was to validate the SOFT score, with more contemporaneous data from the OPTN database. We also applied the SOFT score to cohorts of the sickest transplant candidates and the poorest-quality allografts. Analysis included 21 949 patients transplanted from August 1, 2006, to October 1, 2010. Kaplan-Meier survival functions were used for time-to-event analysis. Model discrimination was assessed using the area under the receiver operating characteristic (ROC) curve. We validated the SOFT score in this cohort of 21 949 liver recipients. The C statistic was 0.70 (CI 0.68-0.71), identical to the original analysis. When applied to cohorts of high-risk recipients and poor-quality donor allografts, the SOFT score projected survival with a C statistic between 0.65 and 0.74. In this study, a validated SOFT score was informative among cohorts of the sickest transplant candidates and the poorest-quality allografts.

Original languageEnglish (US)
Pages (from-to)627-632
Number of pages6
JournalClinical Transplantation
Volume27
Issue number4
DOIs
StatePublished - Jul 2013

Fingerprint

Liver Transplantation
Survival
Allografts
Transplants
Liver
ROC Curve
Tissue Donors
Databases

Keywords

  • High-risk
  • Liver transplantation
  • Patient survival
  • SOFT score

ASJC Scopus subject areas

  • Transplantation

Cite this

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title = "The survival outcomes following liver transplantation (SOFT) score: Validation with contemporaneous data and stratification of high-risk cohorts",
abstract = "Models to project survival after liver transplantation are important to optimize outcomes. We introduced the survival outcomes following liver transplantation (SOFT) score in 2008 (1) and designed to predict survival in liver recipients at three months post-transplant with a C statistic of 0.70. Our objective was to validate the SOFT score, with more contemporaneous data from the OPTN database. We also applied the SOFT score to cohorts of the sickest transplant candidates and the poorest-quality allografts. Analysis included 21 949 patients transplanted from August 1, 2006, to October 1, 2010. Kaplan-Meier survival functions were used for time-to-event analysis. Model discrimination was assessed using the area under the receiver operating characteristic (ROC) curve. We validated the SOFT score in this cohort of 21 949 liver recipients. The C statistic was 0.70 (CI 0.68-0.71), identical to the original analysis. When applied to cohorts of high-risk recipients and poor-quality donor allografts, the SOFT score projected survival with a C statistic between 0.65 and 0.74. In this study, a validated SOFT score was informative among cohorts of the sickest transplant candidates and the poorest-quality allografts.",
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author = "Abbas Rana and Tun Jie and Porubsky, {Marian -} and Habib, {Shahid -} and Horacio Rilo and Bruce Kaplan and Gruessner, {Angelika C} and Gruessner, {Rainer W G}",
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AU - Habib, Shahid -

AU - Rilo, Horacio

AU - Kaplan, Bruce

AU - Gruessner, Angelika C

AU - Gruessner, Rainer W G

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N2 - Models to project survival after liver transplantation are important to optimize outcomes. We introduced the survival outcomes following liver transplantation (SOFT) score in 2008 (1) and designed to predict survival in liver recipients at three months post-transplant with a C statistic of 0.70. Our objective was to validate the SOFT score, with more contemporaneous data from the OPTN database. We also applied the SOFT score to cohorts of the sickest transplant candidates and the poorest-quality allografts. Analysis included 21 949 patients transplanted from August 1, 2006, to October 1, 2010. Kaplan-Meier survival functions were used for time-to-event analysis. Model discrimination was assessed using the area under the receiver operating characteristic (ROC) curve. We validated the SOFT score in this cohort of 21 949 liver recipients. The C statistic was 0.70 (CI 0.68-0.71), identical to the original analysis. When applied to cohorts of high-risk recipients and poor-quality donor allografts, the SOFT score projected survival with a C statistic between 0.65 and 0.74. In this study, a validated SOFT score was informative among cohorts of the sickest transplant candidates and the poorest-quality allografts.

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