; and the members of the UK-PBC Consortium*The biochemical response to ursodeoxycholic acid (UDCA)-so-called "treatment response"-strongly predicts long-term outcome in primary biliary cholangitis (PBC). Several long-term prognostic models based solely on the treatment response have been developed that are widely used to risk stratify PBC patients and guide their management. However, they do not take other prognostic variables into account, such as the stage of the liver disease. We sought to improve existing long-term prognostic models of PBC using data from the UK-PBC Research Cohort. We performed Cox's proportional hazards regression analysis of diverse explanatory variables in a derivation cohort of 1,916 UDCA-treated participants. We used nonautomatic backward selection to derive the best-fitting Cox model, from which we derived a multivariable fractional polynomial model. We combined linear predictors and baseline survivor functions in equations to score the risk of a liver transplant or liver-related death occurring within 5, 10, or 15 years. We validated these risk scores in an independent cohort of 1,249 UDCA-treated participants. The best-fitting model consisted of the baseline albumin and platelet count, as well as the bilirubin, transaminases, and alkaline phosphatase, after 12 months of UDCA. In the validation cohort, the 5-, 10-, and 15-year risk scores were highly accurate (areas under the curve: >0.90). Conclusions: The prognosis of PBC patients can be accurately evaluated using the UK-PBC risk scores. They may be used to identify high-risk patients for closer monitoring and second-line therapies, as well as low-risk patients who could potentially be followed up in primary care. (HEPATOLOGY 2016;63:930-950) SEE EDITORIAL ON PAGE 697 P rimary biliary cholangitis (PBC) is a chronic liver disease in which autoimmune destruction of the intrahepatic bile ducts results in cholestasis and progressive fibrosis.(1) Biliary injury may eventually lead to cirrhosis and liver failure-but the rate of disease progression is variable.(2) Across the spectrum, some patients with PBC progress to end-stage liver disease (ESLD) within a few years of diagnosis; some develop cirrhosis that remains well compensated; others (perhaps the majority) do not even develop cirrhosis. In PBC, as in other conditions, accurate prognostication enables management of the disease to be tailored to the patient. This is the basis of precision medicine-and it has clear benefits: patients at higherAbbreviations: AIH, autoimmune hepatitis; ALP, alkaline phosphatase; ALP12, alkaline phosphatase after 12 months of UDCA; AMA, anti-mitochondrial antibody; ANA, anti-nuclear antibodies; ALT, alanine aminotransferase; ALT12, ALT after 12 months of UDCA; AST, aspartate transaminase; AST12, AST after 12 months of UDCA; AUC, area under receiver operating characteristic curve; BIL, bilirubin; BIL12, bilirubin after 12 months of UDCA; CI, confidence interval; CRFs, case record forms; EASL, European Association for the Study of Liver; ESLD, end-stag...

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ObjectiveMost prognostic models for primary sclerosing cholangitis (PSC) are based on patients referred to tertiary care and may not be applicable for the majority of patients with PSC. The aim of this study was to construct and externally validate a novel, broadly applicable prognostic model for transplant-free survival in PSC, based on a large, predominantly population-based cohort using readily available variables.DesignThe derivation cohort consisted of 692 patients with PSC from the Netherlands, the validation cohort of 264 patients with PSC from the UK. Retrospectively, clinical and biochemical variables were collected. We derived the prognostic index from a multivariable Cox regression model in which predictors were selected and parameters were estimated using the least absolute shrinkage and selection operator. The composite end point of PSC-related death and liver transplantation was used. To quantify the models’ predictive value, we calculated the C-statistic as discrimination index and established its calibration accuracy by comparing predicted curves with Kaplan-Meier estimates.ResultsThe final model included the variables: PSC subtype, age at PSC diagnosis, albumin, platelets, aspartate aminotransferase, alkaline phosphatase and bilirubin. The C-statistic was 0.68 (95% CI 0.51 to 0.85). Calibration was satisfactory. The model was robust in the sense that the C-statistic did not change when prediction was based on biochemical variables collected at follow-up.ConclusionThe Amsterdam-Oxford model for PSC showed adequate performance in estimating PSC-related death and/or liver transplant in a predominantly population-based setting. The transplant-free survival probability can be recalculated when updated biochemical values are available.

We confirm the independent prognostic value and demonstrate for the first time the reproducibility of staging disease progression in PSC using the Nakanuma, Ishak, and Ludwig staging systems. The Nakanuma staging system-incorporating features of chronic biliary disease-again showed the strongest predictive value. (Hepatology 2017;65:907-919).