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. 1997 Mar;25(3):672-7.
doi: 10.1002/hep.510250330.

A prognostic model for the outcome of liver transplantation in patients with cholestatic liver disease

P Ricci  1 , T M Therneau, M Malinchoc, J T Benson, J L Petz, G B Klintmalm, J S Crippin, R H Wiesner, J L Steers, J Rakela, T E Starzl, E R Dickson
Affiliations

A prognostic model for the outcome of liver transplantation in patients with cholestatic liver disease

P Ricci et al. Hepatology. 1997 Mar.

Abstract

We studied the outcome of 436 patients with primary biliary cirrhosis (PBC) or primary sclerosing cholangitis (PSC) who underwent orthotopic liver transplant (OLT) at three major liver transplant centers. Univariate predictors of outcome included age, Karnofsky score, Child's class, Mayo risk score, United Network for Organ Sharing (UNOS) status, nutritional status, serum albumin, serum bilirubin, international normalized ratio, and the presence of ascites, encephalopathy, renal failure (serum creatinine > 2 mg/dL), and edema refractory to diuretics. Using these predictors, we developed a four variable mathematical prognostic model to help the liver transplant physician predict the following: 1) the amount of intraoperative blood loss; 2) the number of days in the intensive care unit (ICU); and 3) severe complications after surgery. The model uses age, renal failure, Child's class, and United Network for Organ Sharing status. This study is the first to model the outcome of liver transplant in patients with a specific etiology of chronic liver disease (PBC or PSC). The model may be used to help select patients for OLT and to plan the timing of their transplantation.

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Figures

Fig. 1
Fig. 1
Univariate analysis: predictors of operative and postoperative outcome.
Fig. 2
Fig. 2
Patient survival after OLT. (A) Total patients and (B) PBC and PSC (P = .71).
Fig. 3
Fig. 3
Graft survival after OLT. (A) Total patients and (B) PBC and PSC (P = .72).
See this image and copyright information in PMC

References

    1. Maddrey, Sorrell . Selection of patients for liver transplantation. In: Keefe EB, editor. Transplantation of the liver. 2. Appleton and Lange; 1995.
    1. Terasaki PI, Cecka JM. Clinical transplants. UNOS. 1994 - PubMed
    1. Gordon RD, Hartner CM, Casavilla A, Selby RR, Bronsther O, Mieles L, Martin M, et al. The liver transplant waiting list—a single-center analysis. Transplantation. 1991;51:128–134. - PMC - PubMed
    1. Shaw BW, Jr, Wood RP, Gordon RD, Iwatsuki S, Gillquist WP, Starzl TE. Influence of selected patient variables and operative blood loss on six-month survival following liver transplantation. Semin Liv Dis. 1985;5:385–393. - PMC - PubMed
    1. Williams JW, Vera S, Evans LS. Socioeconomic aspects of hepatic transplantation. Am J Gastroenterol. 1987;82:1115–1119. - PubMed

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