Risk stratification and prognostic modelling in primary biliary cholangitis

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Abstract

Primary biliary cholangitis (PBC) is a slowly progressive chronic cholestatic liver disease that, in a subgroup of patients, may result in liver failure or death. The definition of specific risk profiles, i.e. risk stratification, is of critical importance for the identification of these subgroups and thereby the targeting of care. Over the last few years large multicentre cohort studies have improved our knowledge regarding factors associated with progressive disease. Stratification based on biochemical response to ursodoxycholic acid provides a readily available measure to identify groups that might benefit from additional therapies to further improve prognosis. In addition, serum total bilirubin and alkaline phosphatase are now considered the most robustly validated biomarkers of long-term outcome in PBC and are used as endpoints in clinical trials. The GLOBE score and UK-PBC risk score enable us to quantify the risk of future events for the individual patient, allowing more individualized risk prediction. In this review, we discuss both established prognostic factors and newly developed tools to estimate prognosis in PBC, highlighting their strengths, limitations and applicability in clinical practice.

Introduction

Primary biliary cholangitis (PBC) is a slowly progressive chronic cholestatic liver disease [1,2]. The disease has an indolent course in the majority. However, there is a subgroup with an impaired survival associated with poor response to treatment with ursodeoxycholic acid (UDCA) [[3], [4], [5], [6], [7], [8], [9], [10], [11]]. For decades, UDCA was the only available drug to treat PBC. Currently, the clinical scenario is changing with new agents becoming available, all with different profiles of efficacy and tolerability. In this scenario, risk stratification is a critical tool to identify patients in need of second-line therapies or patients who can be safely continued on UDCA monotherapy. In addition, risk stratification has an important role in trial design.

Over the past decade, our ability to identify subgroups of patients with a higher chance to have a progressive disease, and to estimate the risk of future adverse events based on readily available clinical parameters has considerably improved. Newly developed prediction models now enable us to quantify the risk of future events for individual patients and provide important tools in clinical practice for patient counselling, timing of diagnostic procedures and therapeutic interventions, and selection of patients for clinical trials. This review discusses factors associated with prognosis in PBC, and in particular focuses on biochemical response criteria and prediction models. Especially, this review provides insights in the application and generalizability of the various models and tools in clinical practice.

PBC is considered a rare disease with incidence rates varying between 0.3-5.8 per 100.000 persons per year and a prevalence ranging between 1.9-40.2 per 100.000 inhabitants [[12], [13], [14]]. PBC predominantly affects middle-aged women, with a female to male ratio of 10:1 [1,2], although recent studies suggest an increasing male prevalence [15]. Diagnosis is suspected in cases of chronically elevated markers of cholestasis and/or symptoms of fatigue and pruritus, which are the most commonly reported symptoms in PBC [16]. However, at present most PBC patients are diagnosed in (early) asymptomatic stages of disease [[17], [18], [19], [20]].

Thus far, PBCs pathogenesis has not completely been elucidated, but is thought to be an interplay of genetic susceptibility and environmental triggers that result in immunoregulatory changes and selective destruction of intrahepatic cholangiocytes [[21], [22], [23]]. This may lead to progressive fibrosis, cirrhosis, and eventually liver failure requiring liver transplantation (LT) or resulting in premature death [1,2].

Although PBC is a slowly progressive disease in the majority of patients, the clinical course may differ greatly between patients and prognosis is largely dependent on development of cirrhotic complications [24]. The introduction of UDCA as mainstay treatment has greatly affected the clinical disease course [16,25]. UDCA has been shown to improve liver biochemistry [26], can delay histological progression [[27], [28], [29]] and impacts on long-term outcome [26,[30], [31], [32]]. At present, most patients are diagnosed at earlier stages of disease and are usually promptly treated with an adequate dose of UDCA [20]. However, despite adequate treatment, patients can remain at risk of developing cirrhosis and associated complications.

An early study showed that approximately 20% of UDCA-treated patients progress to cirrhosis within 4 years after start of treatment [33]. Later, Corpechot et al. showed that annually 7% of UDCA-treated patients progress to extensive fibrosis or cirrhosis [28]. A study with 254 paired biopsies over 655 patient-years showed that the rate of histological progression to cirrhosis under UDCA treatment from fibrosis stage I, II, and III was 4%, 12% and 59% respectively [34]. Median time to cirrhosis in these stages was 25, 20, and 4 years, respectively [34]. A recent cohort study by Trivedi et al. in 511 patients showed a cumulative incidence of cirrhosis development of 40% over a 10-year follow-up period, indicating that nowadays a substantial percentage of patients still develops cirrhosis [35,36]. Nonetheless, the ten-year transplant-free survival of UDCA-treated PBC patients is considered good and is approximately 80% [[4], [5], [6],17,30,31,[37], [38], [39]]. Over recent years the transplantation rates for PBC have decreased in North America and Europe [40,41].

Section snippets

Factors associated with outcome

Often the objective of studying a new marker is limited to assessment of association with a future clinical event. In the setting of risk stratification the aim is to estimate the likelihood of a clinical event taking place. Assessment of the risks and risk parameters allow identification of patients or patient groups with mild or a more progressive disease pathway, and thereby allow the targeting of care. Below the association and impact of various biochemical and clinical factors with

Prediction models

Previously proposed biochemical response criteria in PBC provide an easy-to-use tool for clinical practice to identify patients at risk of adverse outcome. However, they provide a crude dichotomization of risk into high or low risk, resulting in loss of predictive information. Especially patients with biochemical values that are close to the criteria's threshold(s) may be unjustly characterized as low risk instead of high risk and vice versa. Moreover, dichotomous criteria do not allow

Integration of continuous models into clinical practice

In the near future, gastroenterologists and hepatologists will likely be faced with multiple therapeutic options for PBC, emphasising the clinical importance of an accurate estimation of prognoses and selection of the appropriate therapy for the individual patient. An important question in the applicability of a prediction model is whether the predictions are generalizable. This will depend on the setting and assumptions under which they were created and validated; in a different setting the

Future directions

With the identification of numerous factors associated with outcome, development of response criteria, and newly developed risk prediction models, we have come a long way. So what is next?

Risk stratification and prediction models are in constant development. Various factors could provide an important addition to existing prediction models. LSM might be a promising candidate, but requires further validation and has practical limitations. In addition, the inclusion of symptoms or comorbidities,

Summary

Over the past decades, our ability to assess prognosis based on readily available clinical parameters has improved dramatically: from recognizing static markers at diagnosis associated with disease progression – via the concept of biochemical response to ursodeoxycholic acid based on various biochemical variables – to the establishment of alkaline phosphatase and bilirubin as likely surrogate markers, and the development of continuous prediction models based on large international multicentre

Practice points

  • Serum total bilirubin and alkaline phosphatase are the most robustly validated biomarkers of disease activity (ALP and bilirubin) and stage (bilirubin) in PBC. They are considered ‘reasonably likely to predict clinical benefit’ in PBC and are currently used as primary endpoint in clinical trials

  • Biochemical response criteria provide a robust and readily available measure to identify patients that are likely to benefit from additional therapies or clinical trials

  • Newly developed risk prediction

Conflicts of interest

JC Goet has nothing to declare.

BE Hansen is statistical adviser for Intercept and Cymabay.

MH Harms declares a speaker fee of Zambon B.V.

M Carbone declares a speaker fee of Intercept Pharmaceutical.

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