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The Child-Pugh classification as a prognostic indicator for survival in primary sclerosing cholangitis
K Shetty1, L Rybicki, W D Carey
1Department of Gastroenterology, Cleveland Clinic Foundation, OH 44195, USA.
Insights
The Child-Pugh Classification (CPC) effectively predicts survival in primary sclerosing cholangitis (PSC) patients. A disease-specific model (DSM) did not improve CPC
Area of Science:
- Hepatology
- Clinical Medicine
- Prognostic Modeling
Background:
- Clinical decisions for primary sclerosing cholangitis (PSC) require understanding its variable natural history.
- Several prognostic models exist for PSC survival prediction.
- The utility of the Child-Pugh Classification (CPC) versus disease-specific models (DSM) needs further evaluation.
Purpose of the Study:
- To evaluate the Child-Pugh Classification (CPC) as a prognostic tool for survival in primary sclerosing cholangitis (PSC).
- To compare the predictive accuracy of CPC against a disease-specific model (DSM) for PSC patient survival.
Main Methods:
- Retrospective analysis of 208 PSC patients with established criteria.
- Kaplan-Meier survival estimates were calculated for CPC stages.
- A stepwise Cox proportional hazards model identified mortality predictors.
Main Results:
- Kaplan-Meier 7-year survival rates for CPC A, B, and C were 89.8%, 68%, and 24.9% (P < .001).
- CPC and age were the most significant predictors of mortality.
- Incorporating the DSM risk score did not significantly enhance the Cox model's predictive fit (P = .75).
Conclusions:
- The Child-Pugh Classification (CPC) is a powerful predictor of survival in PSC.
- The disease-specific model (DSM) does not offer enhanced predictive ability over CPC.
- CPC can serve as a viable alternative to DSM in PSC research and clinical decision-making.
Abstract:
Clinical decisions in primary sclerosing cholangitis (PSC) depend upon understanding its variable natural history. Several prognostic models for survival have been developed. We explored the Child-Pugh Classification (CPC) to determine if it predicts survival as well as a disease-specific model (DSM). We identified 208 PSC patients who satisfied established criteria. Prognostic variables were measured from the first visit. Kaplan-Meier survival estimates were obtained for CPC twice, once censoring observations at orthotopic liver transplantation and again considering orthotopic liver transplantation as a failure. A stepwise Cox proportional hazards-model was used to identify the factors associated with mortality. For 208 patients, the mean follow-up was 70 months (SD + 55). Kaplan-Meier 7-year survivals for CPC A, B, and C were 89.8%, 68%, and 24.9%, respectively (P < .001). The Cox model identified CPC and age as the most significant predictors of mortality. Adding the DSM risk score did not significantly improve the fit of the model (P = .75). The following were concluded: 1) CPC is a powerful predictor of survival in PSC; 2) DSM does not enhance the predictive ability of CPC; and 3) CPC may be used as an alternative to the DSM in research studies and clinical decision-making.
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