TY - JOUR
T1 - Predicting clinical and economic outcomes after liver transplantation using the Mayo primary sclerosing cholangitis model and Child-Pugh score
AU - Talwalkar, Jayant A.
AU - Seaberg, Eric
AU - Kim, W. Ray
AU - Wiesner, Russell H.
PY - 2000
Y1 - 2000
N2 - Issues in the selection and timing of liver transplantation for primary sclerosing cholangitis (PSC) remain controversial. Although the Child-Pugh classification (CP) score and Mayo PSC model have similar abilities to estimate pretransplantation survival, a comparison of these 2 scores in predicting survival after liver transplantation has not been conducted. The aim of this study is to compare the Mayo PSC model and CP score in predicting patient survival and related economic outcomes after liver transplantation. Data from 128 patients with PSC, identified from the NIDDK database, were used to calculate patient-specific Mayo PSC and CP scores before transplantation. Levels reflecting a poor outcome were defined a priori. Receiver operating characteristic (ROC) curves and regression methods (Cox proportional hazards and linear regression models) were used to assess the relationship between these 2 scores and 5 post liver transplantation outcome measures. CP score was found to be a significantly (P < .05) better predictor of death 4 months or less after liver transplantation than: (a) length of hospital stay >21 days (or death before discharge) and (b) resource utilization >200,000 units (measured by area under the ROC curve). The Cox model identified statistically significant (P < .05) associations between CP score and each outcome after adjusting for the Mayo PSC risk score. Similar results were not observed for the Mayo PSC model when adjusted for CP score. Among patients with PSC undergoing liver transplantation, CP score was a better overall predictor of both survival and economic resource utilization compared with the Mayo PSC model.
AB - Issues in the selection and timing of liver transplantation for primary sclerosing cholangitis (PSC) remain controversial. Although the Child-Pugh classification (CP) score and Mayo PSC model have similar abilities to estimate pretransplantation survival, a comparison of these 2 scores in predicting survival after liver transplantation has not been conducted. The aim of this study is to compare the Mayo PSC model and CP score in predicting patient survival and related economic outcomes after liver transplantation. Data from 128 patients with PSC, identified from the NIDDK database, were used to calculate patient-specific Mayo PSC and CP scores before transplantation. Levels reflecting a poor outcome were defined a priori. Receiver operating characteristic (ROC) curves and regression methods (Cox proportional hazards and linear regression models) were used to assess the relationship between these 2 scores and 5 post liver transplantation outcome measures. CP score was found to be a significantly (P < .05) better predictor of death 4 months or less after liver transplantation than: (a) length of hospital stay >21 days (or death before discharge) and (b) resource utilization >200,000 units (measured by area under the ROC curve). The Cox model identified statistically significant (P < .05) associations between CP score and each outcome after adjusting for the Mayo PSC risk score. Similar results were not observed for the Mayo PSC model when adjusted for CP score. Among patients with PSC undergoing liver transplantation, CP score was a better overall predictor of both survival and economic resource utilization compared with the Mayo PSC model.
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U2 - 10.1053/jlts.2000.18485
DO - 10.1053/jlts.2000.18485
M3 - Article
C2 - 11084063
AN - SCOPUS:0033749882
SN - 1527-6465
VL - 6
SP - 753
EP - 758
JO - Liver Transplantation
JF - Liver Transplantation
IS - 6
ER -