A1-2: Cost-Effectiveness of Interleukin 28B Genotype-Guided Protease Inhibitor Therapy in Treatment-Naive Patients with Hepatitis C Virus Genotype 2 or 3

ABSTRACT:

Background/Aims

The addition of protease inhibitors to standard of care (SOC) dramatically increases treatment response in Hepatitis C Virus (HCV) genotype 1 patients. Moreover, Interleukin 28B (IL28B) genotyping helps predict responsiveness for these patients. However, the economic implications of incorporating IL28B genotyping in HCV genotype 2 or 3 infected patients are unknown. This study used a treatment algorithm that included IL28B genotype-guided therapy to examine the short and long-term cost-effectiveness of utilizing these single-nucleotide polymorphisms in treatment-naïve HCV genotype 2 or 3 infected patients.

Methods

A treatment algorithm was constructed to reflect a therapy regimen for treatment-naïve patients with HCV genotype 2 or 3 infection using pegylated-interferon, ribavirin, and telaprevir. To examine the role of the IL28B gene in affecting costs and health outcomes, a decision tree was derived from the treatment algorithm in order to populate a predictive cost model for therapy using our treatment algorithm.

Results

Expected short-term costs of therapy following our algorithm were $21,648.92 and $47,972.84 for the CC and TT genotypes at rs12979860, respectively, and $47,972.84 and $21,648.92 for patients with the CT genotype at rs12979860 and the TG/GG and TT genotypes at rs8099917, respectively. Predicted costs among patients undergoing SOC therapy were $20,758.92. Sustained virologic response (SVR) rates for genotypes 2/3 were predicted to occur in 82.2% (8,220 of 10,000) of patients overall—88.83% (8,883 of 10,000) and 65.91% (6,591 of 10,000) for the CC and TT genotypes at rs12979860 and 81.01% (8,101 of 10,000) overall for patients with the CT genotype at rs12979860 [72.08% (7,208 of 10,000) and 86.78% (8,678 of 10,000) for the TG/GG and TT genotypes at rs8099917]. Markov modeling predicted a 27.29 quality-adjusted life-expectancy (QALE) after following our treatment algorithm while adding $7,766.51 in long-term costs. The model predicted only a 26.65 QALE after SOC therapy (while adding $9,599.05 in long-term costs).

Conclusions

Although short-term treatment costs of an IL28B genotype-guided approach exceed those of SOC for treatment-naïve HCV genotype 2/3 infected patients, Markov modeling suggests that lower long-term costs and improved health outcomes may be achieved by the proposed algorithm and provides a dominant cost-effective strategy for treating this population of HCV infected patients.

SUBMITTER: Bock J 

PROVIDER: S-EPMC3788547 | biostudies-literature | 2013 Sep

REPOSITORIES: biostudies-literature