Primary sclerosing cholangitis: Refinement and validation of survival models

The natural history of primary sclerosing cholangitis was studied in 426 patients from five medical centers. The median follow-up time was 3.0 years (range, 0.01–16.6 years); 100 patients had died by the time of last follow-up. Survival analysis (Cox proportional-hazards regression) was used to iden...

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Veröffentlicht in:Gastroenterology (New York, N.Y. 1943) N.Y. 1943), 1992-12, Vol.103 (6), p.1893-1901
Hauptverfasser: Dickson, E.Rolland, Murtaugh, Paul A., Wiesner, Russell H., Grambsch, Patricia M., Fleming, Thomas R., Ludwig, Jurgen, LaRusso, Nicholas F., Malinchoc, Michael, Chapman, Roger W., Kaplan, Marshall M., Maddrey, Willis C., Williams, Roger, Farrant, Mark, Langworthy, Alice
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container_end_page 1901
container_issue 6
container_start_page 1893
container_title Gastroenterology (New York, N.Y. 1943)
container_volume 103
creator Dickson, E.Rolland
Murtaugh, Paul A.
Wiesner, Russell H.
Grambsch, Patricia M.
Fleming, Thomas R.
Ludwig, Jurgen
LaRusso, Nicholas F.
Malinchoc, Michael
Chapman, Roger W.
Kaplan, Marshall M.
Maddrey, Willis C.
Williams, Roger
Farrant, Mark
Langworthy, Alice
description The natural history of primary sclerosing cholangitis was studied in 426 patients from five medical centers. The median follow-up time was 3.0 years (range, 0.01–16.6 years); 100 patients had died by the time of last follow-up. Survival analysis (Cox proportional-hazards regression) was used to identify the variables most useful in predicting survival of patients with primary sclerosing cholangitis. Serum bilirubin concentration, histological stage on liver biopsy, age, and the presence of splenomegaly were independent predictors of a high risk of dying. A mathematical model to predict survival of patients with primary sclerosing cholangitis (based on referral values of those predictors) was statistically validated using two methods. Confidence intervals for predicting patient-specific survival probabilities are also presented. This model to predict survival could be used to stratify participants in therapeutic trials, counsel patients and their families, decide on candidacy for and timing of liver transplantation, and provide mathematical controls for evaluating the efficacy of therapies for primary sclerosing cholangitis, including transplantation.
doi_str_mv 10.1016/0016-5085(92)91449-E
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subjects Adult
Aged
Bilirubin - blood
Biological and medical sciences
Cholangitis, Sclerosing - mortality
Female
Gastroenterology. Liver. Pancreas. Abdomen
Humans
Liver. Biliary tract. Portal circulation. Exocrine pancreas
Male
Medical sciences
Middle Aged
Models, Statistical
Multivariate Analysis
Other diseases. Semiology
Probability
Regression Analysis
Survival Rate
title Primary sclerosing cholangitis: Refinement and validation of survival models
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