The UK‐PBC risk scores: Derivation and validation of a scoring system for long‐term prediction of end‐stage liver disease in primary biliary cholangitis

Marco Carbone(University of Cambridge), Stephen J. Sharp(University of Cambridge), Steve Flack(University of Cambridge), Dimitrios Paximadas(University of Cambridge), Kelly Spiess(University of Cambridge), Carolyn Adgey(University of Ulster), Laura Griffiths(Newcastle University), R.T. Lim(Queen Elizabeth Hospital Birmingham), Paul Trembling(Barts Health NHS Trust), Kate D. Williamson(John Radcliffe Hospital), Nick J. Wareham(University of Cambridge), Mark Aldersley(St James's University Hospital), Andrew Bathgate(University of Cambridge), Andrew K. Burroughs(Royal Free London NHS Foundation Trust), Michael A. Heneghan(Clatterbridge Hospital), James Neuberger(Queen Elizabeth Hospital Birmingham), Douglas Thorburn(Royal Free London NHS Foundation Trust), Gideon M. Hirschfield(University of Cambridge), Heather J. Cordell(University of Cambridge), Graeme Alexander(Addenbrooke's Hospital), D. I. Jones(Newcastle University), Richard Sandford(University of Cambridge), George Mells(University of Cambridge)
Hepatology
July 30, 2015
Cited by 347

Abstract

UNLABELLED: 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.


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