Estimating the impact of hepatitis C virus therapy on future liver-related morbidity, mortality and costs related to chronic hepatitis C

https://doi.org/10.1016/j.jhep.2004.12.031Get rights and content

Background/Aims

Chronic Hepatitis C virus (HCV) infection is common and often produces a progressive disease. Some studies suggest that HCV related complications will increase in the future. Our aim was to estimate the future morbidity, mortality and costs of chronic HCV infection in a cohort of patients infected by HCV and to evaluate the impact of HCV therapy.

Methods

A mathematical model was used to project over the next 30 years, the HCV related complications and costs in a cohort of 419,895 infected patients representing the HCV infected population in Spain. The impact of HCV therapy with peginterferon and ribavirin in this population was also projected.

Results

A gradual decline in the infected population is expected in the future, however, the proportion of patients with cirrhosis will increase by up to 14% and morbidity associated with HCV infection by up to 10% by the year 2030 with a subsequent increment in HCV related costs. However, treating from 10 to 50% of the HCV population will result in a reduction of 6 and 26% in morbidity and 4 and 20% in mortality, respectively. The cost per year of life gained ranges from 6078 € for a 29-year-old patient to 8911 € for a 59-year-old patient.

Conclusions

In the future, HCV infection mortality, morbidity and associated costs will increase. Treatment of the chronic HCV infected population can eradicate the infection, increase patients' survival and reduce the need for liver transplantation, making this a cost-effective strategy.

Introduction

Hepatitis C virus (HCV) infection is a global health problem. Although the prevalence in the European population is estimated as 3%, the real HCV prevalence is still unknown [1]. There are a significant number of undiagnosed cases and it is unknown whether the distribution of the infection is uniform among the estimated 200 million carriers worldwide [2].

The majority of people infected by HCV acquired the infection 10–20 years ago, before the identification of the virus and the availability of HCV tests for screening and diagnosis. Most patients with chronic hepatitis C are asymptomatic until HCV related complications develop [1]. When complications such as decompensated cirrhosis and hepatocellular carcinoma appear, patients require an increased number of clinical visits, drug therapies and diagnostic tests. Hospitalisation and liver transplantation are also often required. These costs are related to the type of HCV complications and have a direct impact on health care resources. Currently, in developed countries, cirrhosis due to HCV infection and hepatocellular carcinoma are the leading causes of liver transplantation, accounting for 30% of all liver transplantations [2], [3]. The total number of liver transplantations is limited by the shortage of organs and in the future, if the number of patients requiring transplantation grows, the shortage will become a major problem despite the increasing number of liver related donors.

Considering the high prevalence of HCV infection, the current cost to the National Health Care System of managing HCV infection is relatively low due to the small number of patients receiving HCV therapy and the high number of asymptomatic patients, but it is clear that these costs will rise in the future.

The purpose of this study is to estimate, using a mathematical model, the morbidity, mortality, and costs of chronic hepatitis HCV infection in Spain over the next 30 years and to evaluate the potential impact of HCV therapy on these projections.

Section snippets

Decision analytic model: Markov model

A Markov computer simulation was used to model prognosis by following over time a representative cohort of the HCV infected patients for each age group. The Markov model used the software DATA 3.5 (TreeAge software, Williamstown, MA, USA).

The Markov model describes disease progression and determines the long-term morbidity, life expectancy, mortality, and lifetime costs for cohorts of HCV infected subjects. The model (described elsewhere) uses probabilities of progression from chronic hepatitis

Cohort definition

The total population of Spain, the age distribution, the total number of anti-HCV and HCV RNA cases, those with elevated ALT and the distribution of liver lesions are shown in Table 2. Overall, 699,823 subjects were estimated to have active HCV disease and 419,895 to have elevated ALT levels and therefore progressive liver disease. These figures were used in the model.

Base case scenario

The expected burden of hepatitis C infection for the base case and for the alternative scenario is shown in Table 3. Hepatitis C

Discussion

Our study shows that the increase in morbidity and mortality associated with uncomplicated chronic hepatitis C infection is going to increase in the near future without any type of therapeutic intervention, and how this phenomenon will translate into an important increase in the costs of the disease. The large pool of patients with chronic hepatitis C and progressive liver disease will require bigger Health Care System budgets. The projected HCV disease scenario used in this study is quite

Acknowledgements

Supported in part by a project Red Tematica Cooperativa C03/02 from Ministerio de Sanidad y Consumo, and Schering Plough Spain.

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