A model to predict survival following liver retransplantation

Hugo R. Rosen, Joseph P. Madden, Paul Martin

Research output: Contribution to journalArticle

133 Citations (Scopus)

Abstract

In the current era of critical-organ shortage, one of the most controversial questions facing transplantation teams is whether hepatic retransplantation, which has historically been associated with increased resource utilization and diminished survival, should be offered to a patient whose first allograft is failing. Retransplantation effectively denies access to orthotopic liver transplantation (OLT) to another candidate and further depletes an already-limited organ supply. The study group was comprised of 1,356 adults undergoing hepatic retransplantation in the United States between 1990 and 1996 as reported to the United Network for Organ Sharing (UNOS). We analyzed numerous donor and recipient variables and created Cox proportional-hazards models on 900 randomly chosen patients, validating the results on the remaining cohort. Five variables consistently provided significant predictive power and made up the final model: age, bilirubin, creatinine, UNOS status, and cause of graft failure. Although both hepatitis C seropositivity and donor age were significant by univariate and multivariate analyses, neither contributed independently to the estimation of prognosis when added to the final model. The final model was highly predictive of survival (whole model χ2 = 139.63). The risk scores for individual patients were calculated, and patients were assigned into low-, medium-, and high-risk groups (P < .00001). The low degree of uncertainty in the probability estimates as reflected by confidence intervals, even in our high-risk patients, underscores the applicability of our model as an adjunct to clinical judgment. We have developed and validated a model that uses five readily accessible 'bedside' variables to accurately predict survival in patients undergoing liver retransplantation.

Original languageEnglish
Pages (from-to)365-370
Number of pages6
JournalHepatology
Volume29
Issue number2
DOIs
StatePublished - Feb 28 1999
Externally publishedYes

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Survival
Liver
Tissue Donors
Hepatitis C
Bilirubin
Proportional Hazards Models
Liver Transplantation
Uncertainty
Allografts
Creatinine
Multivariate Analysis
Transplantation
Confidence Intervals
Transplants

ASJC Scopus subject areas

  • Hepatology

Cite this

A model to predict survival following liver retransplantation. / Rosen, Hugo R.; Madden, Joseph P.; Martin, Paul.

In: Hepatology, Vol. 29, No. 2, 28.02.1999, p. 365-370.

Research output: Contribution to journalArticle

Rosen, Hugo R. ; Madden, Joseph P. ; Martin, Paul. / A model to predict survival following liver retransplantation. In: Hepatology. 1999 ; Vol. 29, No. 2. pp. 365-370.
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