Skip to main content
Advertisement
Browse Subject Areas
?

Click through the PLOS taxonomy to find articles in your field.

For more information about PLOS Subject Areas, click here.

  • Loading metrics

Cost-effectiveness of a “treat-all” strategy using Direct-Acting Antivirals (DAAs) for Japanese patients with chronic hepatitis C genotype 1 at different fibrosis stages

  • Riichiro Suenaga,

    Roles Conceptualization, Formal analysis, Writing – original draft, Writing – review & editing

    Affiliation Japanese Red Cross Yamaguchi Hospital, Yamaguchi, Yamaguchi, Japan

  • Machi Suka,

    Roles Data curation, Validation, Writing – review & editing

    Affiliation Department of Public Health and Environmental Medicine, The Jikei University of Medicine, Minato-ku, Tokyo, Japan

  • Tomohiro Hirao,

    Roles Data curation, Funding acquisition, Validation, Writing – review & editing

    Affiliation Department of Public Health, Faculty of Medicine, Kagawa University, Kita-gun, Kagawa, Japan

  • Isao Hidaka,

    Roles Supervision, Writing – review & editing

    Affiliation Department of Gastroenterology & Hepatology, Yamaguchi University Graduate School of Medicine, Ube, Yamaguchi, Japan

  • Isao Sakaida,

    Roles Supervision, Writing – review & editing

    Affiliation Department of Gastroenterology & Hepatology, Yamaguchi University Graduate School of Medicine, Ube, Yamaguchi, Japan

  • Haku Ishida

    Roles Conceptualization, Data curation, Formal analysis, Validation, Writing – original draft, Writing – review & editing

    hishida@yamaguchi-u.ac.jp

    Affiliation Department of Medical Informatics & Decision Sciences, Yamaguchi University Graduate School of Medicine, Ube, Yamaguchi, Japan

Abstract

Aim

To evaluate the cost-effectiveness of therapeutic strategies initiated at different stages of liver fibrosis using three direct-acting antivirals (DAAs), sofosbuvir-ledipasvir (SL), glecaprevir-pibrentasvir (GP), and elbasvir plus grazoprevir (E/G), for Japanese patients with chronic hepatitis C (CHC) genotype 1.

Methods

We created an analytical decision model reflecting the progression of liver fibrosis stages to evaluate the cost-effectiveness of alternative therapeutic strategies applied at different fibrosis stages. We compared six treatment strategies: treating all patients regardless of fibrosis stage (TA), treating individual patients with one of four treatments starting at four respective stages of liver fibrosis progression (F1S: withholding treatment at stage F0 and starting treatment from stage F1 or higher, and three successive options, F2S, F3S, and F4S), and administering no antiviral treatment (NoRx). We adopted a lifetime horizon and Japanese health insurance payers’ perspective.

Results

The base case analysis showed that the incremental quality-adjusted life years (QALY) gain of TA by SL, GP, and E/G compared with the strategies of starting treatments for patients with the advanced fibrosis stage, F2S, varied from 0.32 to 0.33, and the incremental cost-effectiveness ratios (ICERs) were US$24,320, US$18,160 and US$17,410 per QALY, respectively. On the cost-effectiveness acceptability curve, TA was most likely to be cost-effective, with the three DAAs at the willingness to pay thresholds of US$50,000.

Conclusions

Our results suggested that administration of DAA treatment for all Japanese patients with genotype 1 CHC regardless of their liver fibrosis stage would be cost-effective under ordinary conditions.

Background

The burden of hepatitis C virus (HCV) infections is a global problem, with about 80 million individuals currently estimated to have active viremic HCV infection worldwide [1]. The 69th World Health Assembly in 2016 adopted the first ‘Global Health Sector Strategy on Viral Hepatitis’ to eliminate viral hepatitis by 2030 as a public health threat [2].

In Japan, the rate of HCV prevalence is thought to have declined, since improved detection of HCV in blood transfusions has reduced the number of new infections, but 1.0 to 1.5 million individuals are still in an actively viremic state [3]. Moreover, the majority of patients were infected with HCV more than 20 years ago, making them vulnerable to the progression of fibrosis and advanced liver disease associated with persistent viremia. Therefore, comprehensive measures to combat hepatitis have been implemented including the public subsidy program for hepatitis treatment, which covers newly approved antiviral agents even in Japan.

The results of therapy for chronic hepatitis C (CHC) have been markedly improved by direct-acting antivirals (DAAs), and nearly all CHC patients treated with these agents can achieve a sustained virological response (SVR). Although DAAs are still expensive in Japan, several studies have concluded that they are cost-effective for patients with CHC due to their higher effectiveness [47].

Besides, the first edition of the Japanese guidelines for the treatment of patients with chronic hepatitis C recommended that interferon-based antiviral treatment should be applied on a priority basis for the patients with significant fibrosis (METAVIR score F2 or F3) or cirrhosis (METAVIR score F4). However, it did not actively recommend such treatment for the low-risk HCC group made up of non-elderly patients without advanced fibrosis, due to the limited efficacy and high side effect profile associated with interferon-based antiviral treatment as described in 2012, the year the first guideline was published [8].

Due to the availability of new DAAs that are more effective and better-tolerated, the recent clinical guidelines for HCV patients published by the Japan Society of Hepatology state that all HCV-infected patients except for decompensated cirrhosis patients should be considered eligible for antiviral therapy. Moreover, due to the high effectiveness and safety of current interferon-free DAAs, the treatment should be introduced at an early stage for the aforementioned, non-elderly HCC patients without advanced fibrosis, who are at low risk. Similarly, the American Association for the Study of Liver Diseases (AASLD) and the European Association for Study of the Liver (EASL) recommended that treatment with DAAs be considered for all treatment-naïve and treatment-experienced patients irrespective of their fibrosis stages, including patients with compensated or decompensated chronic liver disease due to HCV, provided they have no contraindications to treatment [9, 10]. As a result of these measures, viral elimination has been successfully progressing [11, 12].

On the other hand, facing the cost burden under the universal health coverage system, we have to reveal the cost-effectiveness of the DAA treatment for HCV-infected patients without contraindications [13].

Several studies that confirmed the cost-effectiveness of the DAA treatments for HCV-infected patients were published in other countries [14]. Besides, previous studies have also revealed the favorable cost-effectiveness of DAA treatment for the patients regardless of their genotype [15], adolescent patients [16], patients with HIV infection [17], and the universal screening program for HCV followed by DAAs treatments for the general population and subpopulations including prisoners and injecting drug users [18]. These results led to the recommendations by the AASLD and EASL and should guide the judgments of the health policymakers. Remarkably, the latest DAA regimens have a similar profile of effectiveness and safety, therefore, a difference in their costs mostly impacts the cost-effectiveness, and these results would give some evidence for the selection of the specific DAA treatment.

So far, however, we could not find any studies evaluated the cost-effectiveness of the DAA treatment for all patients with HCV infection, including those of less or no fibrosis under Japanese circumstances.

Therefore, in the present study we performed a cost-effectiveness analysis to compare the impacts of different treatment approaches for Japanese patients with chronic hepatitis C genotype 1: a strategy of treating all patients irrespective of their fibrosis stages; and a strategy of waiting and initiating treatment at the more advanced stages of liver fibrosis. Three currently available interferon-free DAA combinations—sofosbuvir-ledipasvir (SL), glecaprevir-pibrentasvigr (GP), and elbasvir (EBV) plus grazoprevir (GZR) (E/G)—were used as the treatment agents.

This study’s object was to reveal the cost-effectiveness of these DAAs treatment for all treatment naïve patients with chronic hepatitis C genotype 1 irrespective of their fibrosis stage, to provide the policymakers with the cost perspective of national measures toward HCV hepatitis elimination.

Methods

Model for CEA evaluation

A state-transition Markov model for CEA was constructed based on natural history models of chronic hepatitis C. It consisted of five chronic hepatitis states classified by METAVIR fibrosis scores reflecting the progression of fibrosis stages: F0 (no fibrosis), F1 (portal fibrosis without septa), F2 (portal fibrosis with few septa), F3 (numerous septa without cirrhosis) and F4 (liver cirrhosis), as well as decompensated liver cirrhosis (decLC) and hepatocellular carcinoma (HCC). The Markov model was further combined with a post-treatment model that included both the antiviral treatment state and the post-antiviral treatment states, and also both the liver transplantation state and the post-liver transplantation state (Fig 1). Age- and gender-specific general population mortality rates from the 2017 life table published by the Ministry of Health, Labor and Welfare in Japan were considered for each state. The model was designed to output discounted costs and quality-adjusted life-years (QALYs) through the patients accrue the corresponding the cost and QALY of the health state for each cycle over a lifetime.

thumbnail
Fig 1. Model scheme for chronic hepatitis C.

CH: Chronic hepatitis; LC: Compensated cirrhosis; Dec LC: Decompensated cirrhosis; HCC S I/II: Hepatocellular carcinoma stage I or II; HCC SIII/IV: Hepatocellular carcinoma stage III or IV; LT 1y: Liver transplantation; LT 2y-: Post-liver transplantation; SVR: Sustained virologic response. “Liver-related Death” represents the disease-specific mortality associated with having decompensated cirrhosis, liver transplant, or hepatocellular carcinoma. Patients enter the Markov model in fibrosis stages 0 through 4 and after successful therapy move to the SVR stage. Broken arrows indicate a proportional regression of fibrosis. In this model, the regression transition occurs for 5 years after successful treatment. Solid arrows indicate the annual probabilities of liver damage progression after successful treatment.

https://doi.org/10.1371/journal.pone.0248748.g001

Transition probabilities

We applied two series of progression rates of fibrosis obtained from a meta-analysis by Thein et al., which included two studies on Japanese subjects [19]. In the first system, rates are estimated using the meta-regression model developed in their analysis, and in the second system they are estimated by a random-effects model for patients whose infection periods was more than 20 years. The parameters in the meta-regression model were the duration of HCV infection (years), study design, proportion of males, proportion of genotype 1, age at HCV infection, proportion of excess alcohol cosumption, and risk of HCV acquisition. We calibrated them by estimating the risk of developing cirrhosis (S1 Materials). We determined the values of these parameters by adjusting them to fit the rate of the progression from chronic hepatitis to liver cirrhosis with a cohort in a published Japanese study [20]. From the adjustment, we estimated that the annual fibrosis progression rates from F0 to F1, F1 to F2, F2 to F3, and F3 to F4 were 0.031, 0.046, 0.071, and 0.068, respectively, in the multivariate model; while those in the random-effects model were 0.077, 0.074, 0.089, and 0.088, respectively.

We obtained other probabilities, such as that from F4 to decompensated cirrhosis, development of HCC at each fibrosis stage and decompensated cirrhosis, mortality rates from decompensated cirrhosis, hepatocellular carcinoma and liver transplantation from the Japanese observational studies [2124]. We assumed that the mortalities at stage F0 to F4 were the same as those of the age and gender-specific general population, which were obtained from the lifetable [25]. Also, the probabilities of receiving a liver transplantation from decompensated LC or HCC were assumed using the data from the report of the liver transplantation registry of Japan [26] (Table 1).

We validated this natural history model by comparing its predicted survival rate from the model with those obtained in a Japanese observational cohort study of patients with chronic hepatitis [27] (S1 Materials).

Progression and regression of the fibrosis after SVR

According to previous studies, we assumed that there would be a lower probability of fibrosis progression in the patients achieving an SVR, and that these patients would develop HCC with a lower incidence rate [28]. We also assumed that the liver fibrosis stage in some of the patients at stages F2, F3, or F4 would regress for five years following the achievement of the SVR [29].

Treatment strategies

We compared the following five strategies in regard to the timing of initiation of DAA treatments, along with a no-treatment strategy (NoRx) (Fig 2).

  1. 1) TA: Treat all patients irrespective of their fibrosis stages.
  2. 2) F1S: Treat patients with fibrosis stages from F1 to F4 and withhold treatment for patients with stage F0 fibrosis, starting it when fibrosis progresses to stage F1.
  3. 3–5) F2S~F4S: Similar to the F1S strategy above, treat patients with F2 to F4 fibrosis (F2S), F3 to F4 fibrosis (F3S), or F4 fibrosis (F4S) and withhold DAA treatment for those with the earlier fibrosis stages.
thumbnail
Fig 2. Treatment strategies.

From Infection to Death, an arrow is shown for HCV natural history, and a dot is shown reflecting the progression of fibrosis stages as well as decompensated liver cirrhosis and hepatocellular carcinoma. Comparisons were made with 6 strategies comprising of 5 timed treatment strategies and a no treatment strategy.

https://doi.org/10.1371/journal.pone.0248748.g002

DAAs and their effectiveness

Three DAAs were evaluated: sofosbuvir-ledipasvir (SL), glecaprevir-pibrentasvir (GP), and elbasvir (EBV) plus grazoprevir (GZR) (E/G). The duration of treatment was 12 weeks except for patients with non-cirrhosis CH receiving GP, in which it lasted 8 weeks based on the Japanese guidelines [30]. We obtained the rates of achieving SVR and also the rates of discontinuation due to adverse effects from the phase 3 trials conducted in Japan [3133] (Table 2).

thumbnail
Table 2. Baseline characteristics and main outcomes of the phase 3 studies of DAAs.

https://doi.org/10.1371/journal.pone.0248748.t002

Disease and treatment costs

We adopted the perspective of health insurance payers and included only direct medical costs per patient. The annual cost associated with each health state was obtained from a Japanese study [34], and costs in the first year and the succeeding years of liver transplantation were obtained from a Japanese cost study of liver transplantation [21] and adjusted according to purchasing power parities.

In particular, we assumed that the annual costs of F0 and F1 stage treatments were the same as those of treating inactive chronic hepatitis, and the costs of F2 and F3 stage treatments were the same as those of treating active chronic hepatitis.

Costs for the three DAAs were obtained from the 2018 National Health Insurance drug price lists. We calculated the total costs of DAA treatments by multiplying the price of each DAA by the daily dose and the duration of regular treatment (days). We did not consider the costs caused by adverse effects of DAAs, because they were rarely serious and because we could not obtain reliable data for the costs of treating adverse effects. We estimated the monitoring cost at pretreatment, during treatment and post-treatment by the micro-costing of reimbursements of the National Health Insurance system for their standard model of regular office visits. We expressed all costs converted from Japanese yen to the US dollar, and the currency exchange rate was 110 Japanese yen per US dollar (Table 3).

Health-related quality of life

We applied the utility values of each health status from the results of a survey given to Japanese patients and experienced hepatologists [35]. Though the increments of the utility value after SVR achieved by DAA treatment differed from study to study [3639], we adopted the results of a study on Japanese patients using SF-6D [39], and we assumed the increment was 0.022 in the base analysis (Table 4).

Model assumptions

We made several assumptions for the models as follows.

  1. The patients who failed DAA treatment did not under undergo additional alternative DAA treatments and were at risk of natural CHC progression and related complications.
  2. The utilities among the patients with fibrosis stages between F0 to F3 were the same value because the data needed to differentiate the utility values among the fibrosis stages is unavailable in Japan.
  3. We did not consider DAA treatment for patients with decompensated cirrhosis.
  4. Liver transplantation is performed only for patients with decompensated cirrhosis or HCC.
  5. Cost and utility loss from adverse effects were not considered, as they did not seem to be significantly different between the treatment strategies except for that of no-treatment.
  6. We did not consider analyzing mutations, as they were not covered by the national insurance system and performed routinely in current practice for treatment-naïve patients.

Model simulation

We performed the model simulation at a cycle of 1 year under the lifetime horizon. We also discounted both the costs and outcome at 2% per year according to Japanese guidelines [40].

Model population

The characteristics of patients in the cohort for the analysis of each treatment strategy were specified based on data from a phase 3 DAA treatment study for Japanese patients with genotype 1 CHC [41]. The mean age of the subjects was 57 years old, 44.3% were male, and the baseline distribution of patients across fibrosis stages was as follows: F0, 36.7%; F1, 20.9%; F2, 16.3%; F3, 17.2%; and F4, 8.8%. The age of the cohort and the rates of fibrosis stages in the cohort were subjected to a sensitivity analysis (SA).

Model outcomes

The model estimated lifelong costs gained per patient and life years (LY), and the gained quality-adjusted life years (QALY). The incremental cost-effectiveness ratio (ICER) of TA relative to the other treatment timing strategies was also estimated. The cost-effectiveness threshold (willingness-to-pay) of the ICER relative to the next most cost-effective strategy was assumed to be US$50,000 per QALY.

Sensitivity Analysis (SA)

To clarify the uncertainty around model input parameters affecting the ICER, we conducted both a deterministic sensitivity analysis (DSA) and a probabilistic sensitivity analysis (PSA).

In the DSA, we performed tornado analyses as a one-way SA in which the distribution of the fibrosis stages among the model population, transitional probabilities, mortality rates by decompensated cirrhosis and hepatocellular carcinoma, annual health state cost, health-related utility weights, and discounting rates were varied simultaneously to show the impact of each variable on the model results. Ranges of the variables for the DSA were set by 95% confidential intervals from the primary data resources, if such data were available or set from 50% to 150% of the base case values, if such data were not available. The range of each variable is shown in Table 1.

In the PSA, each input parameter was assumed to be associated with a certain probabilistic distribution. Transition probabilities, mortality rates, SVR rates (except for that of SL, which was assumed to follow the uniform distribution), and QOL weights were assumed to follow the beta distribution. We also assumed that the health costs followed the gamma distribution. The results are shown in the multiple cost-effectiveness acceptability curves (CEACs), where the horizontal axis indicates the willingness-to-pay (WTP) threshold for one additional QALY with a range of US$0 to US$100,000, and the vertical axis indicates the probability of each treatment being the most effective. The range of each variable for the PSA is shown in Table 5.

Results

Base-case analysis

We showed mainly the base case results simulated with the fibrosis progression rates by the meta-regression model, since they were the slower progression rates and were more conservative figures compared with those from the random-effects model, which are presented in S1 Materials.

The model predicted that the patients without any treatment would suffer from decompensated cirrhosis at 10% probability, hepatocellular carcinoma at 38% probability, and die from a liver-related cause at 34% probability. On the other hand, it also predicted that TA with DAAs would prevent the progression to decompensated cirrhosis, hepatocellular carcinoma, and liver-related death at probabilities of 0%, 22.1% and 17.7% with SL; 0.5%, 22.8% and 18.4% with GP; and 3.3%, 25.0% and 20.9% with E/G, respectively (Fig 3).

thumbnail
Fig 3. Estimated relative risk of liver disease in the meta-regression model.

Dec LC: decompensated cirrhosis; HCC: hepatocellular carcinoma; “Liver disease-related Death” represents the disease-specific mortality associated with having decompensated cirrhosis, liver transplant, or hepatocellular carcinoma. The degree of disease reduction in the five treatment strategies compared to the no-treatment strategy, with SL (A), GP (B), and E/G (C).

https://doi.org/10.1371/journal.pone.0248748.g003

Fig 4 shows the base results in the cost-effectiveness plane. TA was the most effective strategy in QALY, followed by F1S, F2S, F3S, and F4S, irrespective of difference in DAAs. TA yielded gains of 0.12, 0.12, and 0.11 quality-adjusted life years (QALY) compared with F1S and gains of 0.33, 0.33, and 0.32 QALY compared with F2S by the treatment with SL, GP, and E/G, respectively. Regarding the lifetime cost of the strategies, F2S had the lowest cost, followed by F1S and TA. Therefore, these strategies were preferable to F3S and F4S as well as no treatment. As a result, the incremental cost-effectiveness ratio (ICER) per QALY gains of TA against F1S and those of F1 against F2S were $39,780 and $15,960 by SL, $30,260 and $11,530 by GP, and $29,490 and $11,050 by E/G, respectively. Thus, the ICERs of TA with all DAAs were lower than those of the thresholds of cost-effectiveness compared with the other strategies (Table 6). Though we can differentiate between the stages of F0 (no fibrosis) and F1(mild fibrosis) by histological examination, this distinction is not considered worthwhile in a clinical setting, because the clinician is not likely to use histological examination and cannot easily distinguish these states without it. Therefore, we combined these stages as F0/F1 and demonstrated the cost-effectiveness between TA and F2S as follows.

thumbnail
Fig 4. Base case analysis in the meta-regression model.

Base case analysis performed in the meta-regression model of treatment with (A) SL, (B) GP, and (C) E/G.

https://doi.org/10.1371/journal.pone.0248748.g004

DSA

We showed the results of the tornado diagrams which presented the effect of variation in key model variables on the ICER of TA against F2S of each input in the model of three DAA treatments in Fig 5. The only variable which significantly influenced the ICER so that it exceeded the threshold of $50,000/QALY was the age of the cohort. The age at commencement of DAA therapy greatly affected the ICER of TA against F2S. If the age was less than 40 years, the lifetime cost of TA was less than F2S, and TA became a cost-saving strategy. If the age exceeded 65 years old in the comparison between TA and F2S, each ICER was estimated to be higher than the upper limit of the CEA, $50,000/QALY, respectively. The different DAAs were associated with different age thresholds—namely, 65, 68, and 68 years for SL, GP, and E/G, respectively. Therefore, we ought to lower the base price of DAAs by 59% in the case of SL and 67% in the cases of GP and E/G in order for the ICER of TA against F2S for the cohort of patients aged 75 years to become cost-effective.

thumbnail
Fig 5. Tornado diagrams for TA vs. F2S.

†The adjustment range of drug costs was 0.5 to 1.5 times the basic cost. ‡ Hazard ratio of HCC development with SVR compared to non-SVR in CH. Tornado diagrams performed by meta-regression model of treatment with (A) SL, (B) GP, and (C) E/G. The result was sensitive to the age of the cohort applied to costs and outcomes.

https://doi.org/10.1371/journal.pone.0248748.g005

PSA

According to the results of the second-order Monte Carlo simulation presented in Fig 6, TA was found to be cost-effective in at least 51.6% of the 10000 PSA iterations run, with a WTP threshold of up to $50,000 per QALY, regardless of the method used to estimate the progression rates of fibrosis. Among the three DAA options, the acceptable probability of strategies of starting treatment at stage F2 or higher was less than 4% for the progression rates estimated by the meta-regression model and less than 0.5% for those estimated by the random-effects model.

thumbnail
Fig 6. Cost-effectiveness acceptability curves of meta-regression model.

Cost-effectiveness acceptability curves performed by meta-regression model of treatment with (A) SL, (B) GP, and (C) E/G. When the WTP threshold is set at $50,000 per QALY, the probability of TA being cost-effective was 51.6%, 63.0%, and 63.0% by the treatment with SL, GP, and E/G, respectively.

https://doi.org/10.1371/journal.pone.0248748.g006

Discussion

The current DAAs can achieve a high SVR rate of more than 95% among patients with hepatitis C genotype 1 and their adverse effects are much less harmful compared with those of previous treatments, including interferon or ribavirin [4246]. The evidence of reduction of the HCV-related mortality by DAA treatment in those patients without advanced fibrosis had been lacking, although the peginterferon-based treatment was known to reduce the all-cause mortality [47, 48]. However, a recent study revealed that DAAs reduced the mortality of such patients [49]. Moreover, the WHO published a review of studies evaluating the cost-effectiveness of “Treat All” policy for the patients with HCV, and revealed its feasibility and cost-effectiveness in many countries [14].

Our present study similarly showed the cost-effectiveness of DAA treatments for Japanese patients with CHC genotype 1 under conditions of the circumstance in Japan with only one exception: patients with no fibrosis or only mild fibrosis who are older than 65 years.

Although we presented the results of the three DAAs which are currently available in Japan and found that they had slightly different prices and effectiveness levels, there was not so much difference in cost-effectiveness among the strategies used to treat patients without consideration of their fibrotic stages. These results were consistent with other previous cost-effectiveness studies from other countries on the treatment of early stage of fibrosis for the patients with CHC genotype 1 [14, 28, 50] and should support the policy of the current Japanese guideline recommendations that all Japanese HCV patients of genotype 1 should be eligible for the DAA treatment [30].

Thus, the results suggested that if there is no contra-indication, the commencement of DAA treatment for the patients with any fibrosis stage would be more cost-effective than waiting for the progression to an advanced fibrosis state defined as F2 or higher in the guidelines.

Therefore, we no longer have to know patient’s exact fibrotic stage at the time of DAA treatment commencement from the viewpoint of cost-effectiveness, but the knowledge of patients’ fibrosis stages of is still important for predicting the likelihood of HCC development even after they achieved the SVR state with DAA treatments.

Liver biopsy is the gold standard method for accurate confirmation of the stages of liver fibrosis, but it is also an invasive procedure that carries risks of severe complications such as bleeding and tumor dissemination. Nowadays, we can roughly estimate it by laboratory findings such as platelet counts, APRI score, and Fib-4 score, or by the US-based or MRI elastography [51].

The cohort age at commencement of DAA treatment is a critical factor affecting the ICER. The CEA results showed that it is preferable to initiate DAA treatment at a younger age. Under the meta-regression model of fibrosis stage progression and the treatment of SL, patients younger than 65 years were eligible for the DAA treatment. However, Asahina Y et al. reported accelerating fibrosis progression rates among their elderly patients in Japan, and they noted that the rate of progression of fibrosis over time was 0.21±0.10 fibrosis stages per year in older patients aged 65 years or more, and 0.03±0.21 fibrosis stages per year in the younger patients group [52]. When we applied this higher transition probability for simulated patients of aged 65 years and older, the upper limits of the age of the cohort for which the ICER between TA and F2S fell in the range of cost-effectiveness became 75, 76, and 77 years old, respectively.

Although we set the degree of gain in the utilities of the SVR state from the non-SVR state as 0.022 in the base case analysis, we cannot rule out the possibility that this value affected the results. So far, the relevant evidence regarding the degree of the gain by SVR yielded by the DAAs has been limited. One recent study showed no significant improvement in quality of life during or after treatment [36], while three studies showed improvement in quality of life compared to those of the prior treatments [3739, 53]. Most of the other cost-effectiveness analyses related to antiviral treatment for chronic hepatitis C used a utility value equal to or higher than 0.05 for the SVR state [5357]. In this study, we applied the values of Younossi ZM et al., who found that the SVR gained 0.022 in the utility score from the Japanese population after treatment with ledipasvir and sofosbuvir, using SF-6D measurement for the QOL improvement in the base case analysis [39]. This survey was a unique one in that the health utilities of the SVR state were obtained among Japanese HCV-infected patients. Therefore, we performed a sensitivity analysis varying the utility score from 0.011 to 0.033 and showed that there were no cases in which the ICER exceeded the threshold of WTP of US$50,000.

Limitations

Our study had several limitations. First, the generalizability of the results was limited to Japanese patients because our model was constructed using transition probability obtained mainly from Japanese observational studies, and we only considered a direct cost based on the Japanese national insurance system. Notably, we used the progression rates of fibrosis estimated by the meta-regression model of Thein et al. [19] with parameters adjustment within the appropriate ranges according to Japanese epidemiological studies. Although we validated the model using the rates of development of liver cirrhosis and mortality rates from a Japanese cohort study, the estimated progression rates were slower than those of other studies. Moreover, we applied a slightly higher probability for the development of hepatocellular carcinoma in patients with compensated or decompensated liver cirrhosis, which we also obtained from a Japanese epidemiological study [22]. This higher probability should cause higher mortality and costs when treatment is initiated at a more advanced fibrosis stage than at a mild fibrosis stage or in patients with no fibrosis, and the sensitivity analysis confirmed that the effects of early initiation of DAA treatments were more favorable. However, even when we applied a sufficiently low value, the ICER between TA and F1S did not exceed the threshold.

Second, we did not consider separately the age and sex-adjusted mortality rate related to hepatitis C virus infection in our model due to the lack of relevant data, and we applied the general mortality rate instead of the hepatitis-specific mortality.

Third, we could not obtain robust evidence of the transitional probability and cost estimation of liver transplantation. In Japan, however, the annual number of liver transplantations due to various causes, including cases with decompensated liver cirrhosis and HCC, is about 500 [28], and this number corresponds to several percents of the total number of patients with hepatocellular carcinoma. Therefore, this uncertainty was considered to have little effect on the results.

Fourth, we did not consider the effect on extrahepatic morbidity and avoidance of HCV infection. If we were to include these effects in our model, the cost-effectiveness of TA would almost certainly improve.

Although we need more precise models to overcome these limitations in future studies, our results showed the current estimation of the cost-effectiveness of the initiation of DAA treatment regardless of liver fibrotic stages among the patients with HCV infection genotype 1.

In conclusion, our results suggested that the treatment of all Japanese patients younger than 65 years of age with genotype 1 CHC, irrespective of their liver fibrosis stage, would be cost-effective.

References

  1. 1. Gower E, Estes C, Blach S, Razavi-Shearer K, Razavi H. Global epidemiology and genotype distribution of the hepatitis C virus infection. J Hepatol. 2014;61(1 Suppl):S45–57. Epub 2014/08/03. pmid:25086286.
  2. 2. Global health sector strategy on viral hepatitis 2016–2021: World Health Organization (WHO); 2016. Available from: http://apps.who.int/iris/bitstream/10665/246177/1/WHO-HIV-2016.06-eng.pdf?ua=1.
  3. 3. Liakina V, Hamid S, Tanaka J, Olafsson S, Sharara AI, Alavian SM, et al. Historical epidemiology of hepatitis C virus (HCV) in select countries—volume 3. J Viral Hepat. 2015;22 Suppl 4:4–20. Epub 2015/10/30. pmid:26513445.
  4. 4. Igarashi A, Tang W, Guerra I, Marie L, Cure S, Lopresti M. Cost-utility analysis of ledipasvir/sofosbuvir for the treatment of genotype 1 chronic hepatitis C in Japan. Curr Med Res Opin. 2017;33(1):11–21. Epub 2016/09/10. pmid:27609424.
  5. 5. McEwan P, Ward T, Webster S, Yuan Y, Kalsekar A, Kamae I, et al. Estimating the cost-effectiveness of daclatasvir plus asunaprevir in difficult to treat Japanese patients chronically infected with hepatitis C genotype 1b. Hepatology research: the official journal of the Japan Society of Hepatology. 2016;46(5):423–33. Epub 2015/10/07. pmid:26440999.
  6. 6. Virabhak S, Yasui K, Yamazaki K, Johnson S, Mitchell D, Yuen C, et al. Cost-effectiveness of direct-acting antiviral regimen ombitasvir/paritaprevir/ritonavir in treatment-naive and treatment-experienced patients infected with chronic hepatitis C virus genotype 1b in Japan. Journal of medical economics. 2016;19(12):1144–56. Epub 2016/06/28. pmid:27348464.
  7. 7. Igarashi A, Tang W, Cure S, Guerra I, Marie L, Lopresti M, et al. Cost-utility analysis of sofosbuvir for the treatment of genotype 2 chronic hepatitis C in Japan. Curr Med Res Opin. 2017;33(1):1–10. Epub 2016/09/09. pmid:27608157.
  8. 8. Guidelines for the Management of Hepatitis C Virus Infection: First edition, May 2012, The Japan Society of Hepatology. Hepatology research: the official journal of the Japan Society of Hepatology. 2013;43(1):1–34. Epub 2013/01/22. pmid:23332085.
  9. 9. Hepatitis C guidance: AASLD-IDSA recommendations for testing, managing, and treating adults infected with hepatitis C virus. Hepatology. 2015;62(3):932–54. Epub 2015/06/26. pmid:26111063.
  10. 10. EASL Recommendations on Treatment of Hepatitis C 2015. J Hepatol. 2015;63(1):199–236. Epub 2015/04/26. pmid:25911336.
  11. 11. Razavi H, Sanchez Gonzalez Y, Yuen C, Cornberg M. Global timing of hepatitis C virus elimination in high-income countries. Liver Int. 2020;40(3):522–9. Epub 2019/12/23. pmid:31815353.
  12. 12. Oza N, Isoda H, Ono T, Kanto T. Current activities and future directions of comprehensive hepatitis control measures in Japan: The supportive role of the Hepatitis Information Center in building a solid foundation. Hepatology research: the official journal of the Japan Society of Hepatology. 2017;47(6):487–96. Epub 2017/04/25. pmid:28326651.
  13. 13. Szilberhorn L, Kaló Z, Ágh T. Cost-effectiveness of second-generation direct-acting antiviral agents in chronic HCV infection: a systematic literature review. Antivir Ther. 2019;24(4):247–59. pmid:30652971.
  14. 14. Cipriano LE, Goldhaber-Fiebert JD. Population Health and Cost-Effectiveness Implications of a "Treat All" Recommendation for HCV: A Review of the Model-Based Evidence. MDM policy & practice. 2018;3(1):2381468318776634. Epub 2018/10/06. PubMed Central PMCID: PMC6157435. pmid:30288448
  15. 15. Kawaguchi I, Chayama K, Gonzalez YS, Virabhak S, Mitchell D, Yuen C, et al. A Cost-Effectiveness Analysis of Glecaprevir/Pibrentasvir Versus Existing Direct-Acting Antivirals to Treat Chronic Hepatitis C in Japan. Adv Ther. 2020;37(1):457–76. Epub 2019/12/05. pmid:31808054.
  16. 16. Nguyen J, Barritt AS, Jhaveri R. Cost Effectiveness of Early Treatment with Direct-Acting Antiviral Therapy in Adolescent Patients with Hepatitis C Virus Infection. J Pediatr. 2019;207:90–6. Epub 2019/02/06. pmid:30738661.
  17. 17. Popping S, Nichols B, Rijnders B, van Kampen J, Verbon A, Boucher C, et al. Targeted HCV core antigen monitoring among HIV-positive men who have sex with men is cost-saving. J Virus Erad. 2019;5(4):179–90. Epub 2019/11/04. pmid:31754441; PubMed Central PMCID: PMC6844408.
  18. 18. Ledesma F, Buti M, Domínguez-Hernández R, Casado MA, Esteban R. Is the universal population Hepatitis C virus screening a cost-effective strategy? A systematic review of the economic evidence. Rev Esp Quimioter. 2020;33(4):240–8. Epub 2020/06/08. pmid:32510188; PubMed Central PMCID: PMC7374037.
  19. 19. Thein HH, Yi Q, Dore GJ, Krahn MD. Estimation of stage-specific fibrosis progression rates in chronic hepatitis C virus infection: a meta-analysis and meta-regression. Hepatology. 2008;48(2):418–31. Epub 2008/06/20. pmid:18563841.
  20. 20. Ikeda K, Saitoh S, Suzuki Y, Kobayashi M, Tsubota A, Koida I, et al. Disease progression and hepatocellular carcinogenesis in patients with chronic viral hepatitis: a prospective observation of 2215 patients. J Hepatol. 1998;28(6):930–8. Epub 1998/07/22. pmid:9672166.
  21. 21. Ishida K, Imai H, Ogasawara K, Hagiwara K, Furukawa H, Todo S, et al. Cost-utility of living donor liver transplantation in a single Japanese center. Hepatogastroenterology. 2006;53(70):588–91. Epub 2006/09/26. pmid:16995468.
  22. 22. Yoshida H, Shiratori Y, Moriyama M, Arakawa Y, Ide T, Sata M, et al. Interferon therapy reduces the risk for hepatocellular carcinoma: national surveillance program of cirrhotic and noncirrhotic patients with chronic hepatitis C in Japan. IHIT Study Group. Inhibition of Hepatocarcinogenesis by Interferon Therapy. Ann Intern Med. 1999;131(3):174–81. Epub 1999/07/31. pmid:10428733.
  23. 23. Suka M, Hirao T. Study of the cost-effectiveness of the standard treatment for chronic hepatitis C: Ministry of Health Labour and Welfare grants system; [cited 2015 11 May]. Available from: https://mhlw-grants.niph.go.jp/niph/search/NIDD00.do?resrchNum=201333004B.
  24. 24. Morgan RL, Baack B, Smith BD, Yartel A, Pitasi M, Falck-Ytter Y. Eradication of hepatitis C virus infection and the development of hepatocellular carcinoma: a meta-analysis of observational studies. Ann Intern Med. 2013;158(5 Pt 1):329–37. Epub 2013/03/06. pmid:23460056.
  25. 25. Abridged Life Tables for Japan 2017 [Internet]. Available from: https://www.mhlw.go.jp/english/database/db-hw/lifetb17/index.html.
  26. 26. The Japanese Liver Transplantation Society. Liver Transplantation in Japan -Registry by the Japanese Liver Transplantation Society-. Ishoku. 2011;46(6):524–36.
  27. 27. Kasahara A, Tanaka H, Okanoue T, Imai Y, Tsubouchi H, Yoshioka K, et al. Interferon treatment improves survival in chronic hepatitis C patients showing biochemical as well as virological responses by preventing liver-related death. J Viral Hepat. 2004;11(2):148–56. Epub 2004/03/05. pmid:14996350.
  28. 28. Chahal HS, Marseille EA, Tice JA, Pearson SD, Ollendorf DA, Fox RK, et al. Cost-effectiveness of Early Treatment of Hepatitis C Virus Genotype 1 by Stage of Liver Fibrosis in a US Treatment-Naive Population. JAMA internal medicine. 2016;176(1):65–73. Epub 2015/11/26. pmid:26595724; PubMed Central PMCID: PMC5144154.
  29. 29. George SL, Bacon BR, Brunt EM, Mihindukulasuriya KL, Hoffmann J, Di Bisceglie AM. Clinical, virologic, histologic, and biochemical outcomes after successful HCV therapy: a 5-year follow-up of 150 patients. Hepatology. 2009;49(3):729–38. Epub 2008/12/17. pmid:19072828; PubMed Central PMCID: PMC2731713.
  30. 30. Guidelines for the Management of Hepatitis C Virus Infection: version 6.2, October 2018 (Japanese): The Japan Society of Hepatology; 2018. Available from: https://www.jsh.or.jp/files/uploads/HCV_GL_ver6.2_v1.1.pdf.
  31. 31. Mizokami M, Yokosuka O, Takehara T, Sakamoto N, Korenaga M, Mochizuki H, et al. Ledipasvir and sofosbuvir fixed-dose combination with and without ribavirin for 12 weeks in treatment-naive and previously treated Japanese patients with genotype 1 hepatitis C: an open-label, randomised, phase 3 trial. The Lancet Infectious diseases. 2015;15(6):645–53. Epub 2015/04/13. pmid:25863559.
  32. 32. Chayama K, Suzuki F, Karino Y, Kawakami Y, Sato K, Atarashi T, et al. Efficacy and safety of glecaprevir/pibrentasvir in Japanese patients with chronic genotype 1 hepatitis C virus infection with and without cirrhosis. J Gastroenterol. 2018;53(4):557–65. Epub 2017/09/28. pmid:28948366; PubMed Central PMCID: PMC5866824.
  33. 33. Kumada H, Suzuki Y, Karino Y, Chayama K, Kawada N, Okanoue T, et al. The combination of elbasvir and grazoprevir for the treatment of chronic HCV infection in Japanese patients: a randomized phase II/III study. J Gastroenterol. 2017;52(4):520–33. Epub 2016/11/23. pmid:27873094; PubMed Central PMCID: PMC5357479.
  34. 34. Ikeda S, Kobayashi M, Shimoda S. Medical cost related to viral hepatitis: Ministry of Health Labour and Welfare grants system; 2014. Available from: https://mhlw-grants.niph.go.jp/niph/search/NIDD00.do?resrchNum=201333004B.
  35. 35. Sugimori H, Ikeda S, Hirao T, Yatsuhashi H, Yoda T, Hayasaka S, et al. Study of utility for hepatitis: Ministry of Health Labour and Welfare grants system; 2014. Available from: https://mhlw-grants.niph.go.jp/niph/search/Download.do?nendo=2014&jigyoId=143141&bunkenNo=201422003A&pdf=201422003A0003.pdf.
  36. 36. Ichikawa T, Miyaaki H, Miuma S, Taura N, Motoyoshi Y, Akahoshi H, et al. Hepatitis C virus-related symptoms, but not quality of life, were improved by treatment with direct-acting antivirals. Hepatology research: the official journal of the Japan Society of Hepatology. 2018;48(3):E232–e9. Epub 2017/08/25. pmid:28837746.
  37. 37. Matsushita H, Ikeda F, Iwasaki Y, Seki H, Nanba S, Takeuchi Y, et al. Assessment of health-related quality of life and how it predicts the outcome of pegylated interferon and ribavirin therapy for chronic hepatitis C. J Gastroenterol Hepatol. 2014;29(2):337–43. Epub 2013/07/23. pmid:23869873.
  38. 38. Suzuki M, Ishikawa T, Sakuma A, Abe S, Abe H, Koyama F, et al. Evaluation of the health-related quality of life using the 36-item short form health survey in patients with chronic hepatitis C receiving pegylated interferon/ribavirin/telaprevir triple treatment. Experimental and therapeutic medicine. 2016;12(5):3353–8. Epub 2016/11/25. pmid:27882162; PubMed Central PMCID: PMC5103792.
  39. 39. Younossi Z, Stepanova M, Omata M, Mizokami M, Walters M, Hunt S. Health utilities using SF-6D scores in Japanese patients with chronic hepatitis C treated with sofosbuvir-based regimens in clinical trials. Health Qual Life Outcomes. 2017;15(1):25. Epub 2017/02/02. pmid:28143559; PubMed Central PMCID: PMC5282717.
  40. 40. Fukuda TI S.; Igarashi A.; Shiroiwa Guideline for economic evaluation of healthcare technologies in Japan. J Natk Inst Publ Health. 2013;62:625–40.
  41. 41. Kumada H, Suzuki F, Suzuki Y, Toyota J, Karino Y, Chayama K, et al. Randomized comparison of daclatasvir + asunaprevir versus telaprevir + peginterferon/ribavirin in Japanese hepatitis C virus patients. J Gastroenterol Hepatol. 2016;31(1):14–22. Epub 2015/08/08. pmid:26252875.
  42. 42. Jakobsen JC, Nielsen EE, Feinberg J, Katakam KK, Fobian K, Hauser G, et al. Direct-acting antivirals for chronic hepatitis C. Cochrane Database Syst Rev. 2017;9:Cd012143. Epub 2017/09/19. pmid:28922704.
  43. 43. Jhaveri MA, Manne V, Kowdley KV. Chronic Hepatitis C in Elderly Patients: Current Evidence with Direct-Acting Antivirals. Drugs & aging. 2018;35(2):117–22. Epub 2018/02/09. pmid:29417462.
  44. 44. Ji F, Wei B, Yeo YH, Ogawa E, Zou B, Stave CD, et al. Systematic review with meta-analysis: effectiveness and tolerability of interferon-free direct-acting antiviral regimens for chronic hepatitis C genotype 1 in routine clinical practice in Asia. Aliment Pharmacol Ther. 2018;47(5):550–62. Epub 2018/01/13. pmid:29327780.
  45. 45. Spengler U. Direct antiviral agents (DAAs)—A new age in the treatment of hepatitis C virus infection. Pharmacology & therapeutics. 2018;183:118–26. Epub 2017/10/13. pmid:29024739.
  46. 46. Westerhoff M, Ahn J. Chronic Hepatitis C and Direct Acting Antivirals. Surgical pathology clinics. 2018;11(2):287–96. Epub 2018/05/13. pmid:29751875.
  47. 47. van der Meer AJ, Veldt BJ, Feld JJ, Wedemeyer H, Dufour JF, Lammert F, et al. Association between sustained virological response and all-cause mortality among patients with chronic hepatitis C and advanced hepatic fibrosis. Jama. 2012;308(24):2584–93. Epub 2012/12/27. pmid:23268517.
  48. 48. Backus LI, Boothroyd DB, Phillips BR, Belperio P, Halloran J, Mole LA. A sustained virologic response reduces risk of all-cause mortality in patients with hepatitis C. Clin Gastroenterol Hepatol. 2011;9(6):509–16.e1. Epub 2011/03/15. pmid:21397729.
  49. 49. Backus LI, Belperio PS, Shahoumian TA, Mole LA. Direct-acting antiviral sustained virologic response: Impact on mortality in patients without advanced liver disease. Hepatology. 2018;68(3):827–38. Epub 2018/01/30. pmid:29377196.
  50. 50. Leidner AJ, Chesson HW, Xu F, Ward JW, Spradling PR, Holmberg SD. Cost-effectiveness of hepatitis C treatment for patients in early stages of liver disease. Hepatology. 2015;61(6):1860–9. Epub 2015/02/14. pmid:25677072; PubMed Central PMCID: PMC5802336.
  51. 51. Bravo AA, Sheth SG, Chopra S. Liver biopsy. N Engl J Med. 2001;344(7):495–500. pmid:11172192.
  52. 52. Asahina Y, Tsuchiya K, Tamaki N, Hirayama I, Tanaka T, Sato M, et al. Effect of aging on risk for hepatocellular carcinoma in chronic hepatitis C virus infection. Hepatology. 2010;52(2):518–27. Epub 2010/08/05. pmid:20683951.
  53. 53. Chidi AP, Rogal S, Bryce CL, Fine MJ, Good CB, Myaskovsky L, et al. Cost-effectiveness of new antiviral regimens for treatment-naive U.S. veterans with hepatitis C. Hepatology. 2016;63(2):428–36. Epub 2015/11/03. pmid:26524695; PubMed Central PMCID: PMC4718749.
  54. 54. Corman S, Elbasha EH, Michalopoulos SN, Nwankwo C. Cost-Utility of Elbasvir/Grazoprevir in Patients with Chronic Hepatitis C Genotype 1 Infection. Value in health: the journal of the International Society for Pharmacoeconomics and Outcomes Research. 2017;20(8):1110–20. Epub 2017/10/02. pmid:28964443.
  55. 55. Rattay T, Dumont IP, Heinzow HS, Hutton DW. Cost-Effectiveness of Access Expansion to Treatment of Hepatitis C Virus Infection Through Primary Care Providers. Gastroenterology. 2017;153(6):1531–43.e2. Epub 2017/10/28. pmid:29074450.
  56. 56. Coffin PO, Scott JD, Golden MR, Sullivan SD. Cost-effectiveness and population outcomes of general population screening for hepatitis C. Clin Infect Dis. 2012;54(9):1259–71. Epub 2012/03/14. pmid:22412061; PubMed Central PMCID: PMC3404694.
  57. 57. Wright M, Grieve R, Roberts J, Main J, Thomas HC. Health benefits of antiviral therapy for mild chronic hepatitis C: randomised controlled trial and economic evaluation. Health Technol Assess. 2006;10(21):1–113, iii. Epub 2006/06/06. pmid:16750059.