Hyperkalemia in chronic kidney disease patients with and without heart failure: an Italian economic modelling study.

BACKGROUND: Hyperkalemia (HK) is frequently present in chronic kidney disease (CKD). Risk factors for HK among CKD patients include comorbidities and renin-angiotensin-aldosterone system inhibitor (RAASi) treatment. Current standard of care (SoC) often necessitates RAASi down-titration or discontinuation, resulting in poorer cardiorenal outcomes, hospitalization and mortality. This study evaluates the cost-effectiveness of patiromer for HK in CKD patients with and without heart failure (HF) in an Italian setting. METHODS: A lifetime Markov cohort model was developed based on OPAL-HK to assess the health economic impact of patiromer therapy in comparison to SoC after accounting for the effects of HK and RAASi use on clinical events. Outcomes included accumulated clinical events, number needed to treat (NNT) and the incremental cost-effectiveness ratio (ICER). Subgroup analysis was conducted in CKD patients with and without HF. RESULTS: Patiromer was associated with an incremental discounted cost of €4,660 and 0.194 quality adjusted life years (QALYs), yielding an ICER of €24,004. Per 1000 patients, patiromer treatment prevented 275 moderate/severe HK events, 54 major adverse cardiovascular event, 246 RAASi discontinuation and 213 RAASi up-titration/restart. Subgroup analysis showed patiromer was more effective in preventing clinical events in CKD patients with HF compared to those without; QALY gains were greater in CKD patients without HF versus those with HF (0.267 versus 0.092, respectively). Scenario analysis and sensitivity analysis results support base-case conclusions. CONCLUSION: Patiromer is associated with QALY gains in CKD patients with and without HF compared to SoC in Italy. Patiromer prevented HK events, enabled RAASi therapy maintenance and reduced cardiovascular event risk.

The voice characterisation checklist: psychometric properties of a brief clinical assessment of voices as social agents.

Aim: There is growing interest in tailoring psychological interventions for distressing voices and a need for reliable tools to assess phenomenological features which might influence treatment response. This study examines the reliability and internal consistency of the Voice Characterisation Checklist (VoCC), a novel 10-item tool which assesses degree of voice characterisation, identified as relevant to a new wave of relational approaches. Methods: The sample comprised participants experiencing distressing voices, recruited at baseline on the AVATAR2 trial between January 2021 and July 2022 (n = 170). Inter-rater reliability (IRR) and internal consistency analyses (Cronbach's alpha) were conducted. Results: The majority of participants reported some degree of voice personification (94%) with high endorsement of voices as distinct auditory experiences (87%) with basic attributes of gender and age (82%). While most identified a voice intention (75%) and personality (76%), attribution of mental states (35%) to the voice ('What are they thinking?') and a known historical relationship (36%) were less common. The internal consistency of the VoCC was acceptable (10 items, α = 0.71). IRR analysis indicated acceptable to excellent reliability at the item-level for 9/10 items and moderate agreement between raters' global (binary) classification of more vs. less highly characterised voices, κ = 0.549 (95% CI, 0.240-0.859), p < 0.05. Conclusion: The VoCC is a reliable and internally consistent tool for assessing voice characterisation and will be used to test whether voice characterisation moderates treatment outcome to AVATAR therapy. There is potential wider utility within clinical trials of other relational therapies as well as routine clinical practice.

A cost-effectiveness analysis of patiromer in the UK: evaluation of hyperkalaemia treatment and lifelong RAASi maintenance in chronic kidney disease patients with and without heart failure.

BACKGROUND: Chronic kidney disease (CKD) patients with and without heart failure (HF) often present with hyperkalaemia (HK) leading to increased risk of hospitalisations, cardiovascular related events and cardiovascular-related mortality. Renin-angiotensin-aldosterone system inhibitor (RAASi) therapy, the mainstay treatment in CKD management, provides significant cardiovascular and renal protection. Nevertheless, its use in the clinic is often suboptimal and treatment is frequently discontinued due to its association with HK. We evaluated the cost-effectiveness of patiromer, a treatment known to reduce potassium levels and increase cardiorenal protection in patients receiving RAASi, in the UK healthcare setting. METHODS: A Markov cohort model was generated to assess the pharmacoeconomic impact of patiromer treatment in regulating HK in patients with advanced CKD with and without HF. The model was generated to predict the natural history of both CKD and HF and quantify the costs and clinical benefits associated with the use of patiromer for HK management from a healthcare payer's perspective in the UK. RESULTS: Economic evaluation of patiromer use compared to standard of care (SoC) resulted in increased discounted life years (8.93 versus 8.67) and increased discounted quality-adjusted life years (QALYs) (6.36 versus 6.16). Furthermore, patiromer use resulted in incremental discounted cost of £2,973 per patient and an incremental cost-effectiveness ratio (ICER) of £14,816 per QALY gained. On average, patients remained on patiromer therapy for 7.7 months, and treatment associated with a decrease in overall clinical event incidence and delayed CKD progression. Compared to SoC, patiromer use resulted in 218 fewer HK events per 1,000 patients, when evaluating potassium levels at the 5.5-6 mmol/l; 165 fewer RAASi discontinuation episodes; and 64 fewer RAASi down-titration episodes. In the UK, patiromer treatment was predicted to have a 94.5% and 100% chance of cost-effectiveness at willingness-to-pay thresholds (WTP) of £20,000/QALY and £30,000/QALY, respectively. CONCLUSION: This study highlights the value of both HK normalisation and RAASi maintenance in CKD patients with and without HF. Results support the guidelines which recommend HK treatment, e.g., patiromer, as a strategy to enable the continuation of RAASi therapy and improve clinical outcomes in CKD patients with and without HF.

The Cost Effectiveness of Patiromer for the Treatment of Hyperkalaemia in Patients with Chronic Kidney Disease with and without Heart Failure in Ireland.

BACKGROUND AND OBJECTIVE: Hyperkalaemia can be a life-threatening condition, particularly in patients with advanced chronic kidney disease with and without heart failure. Renin-angiotensin-aldosterone system inhibitor therapy offers cardiorenal protection in chronic kidney disease and heart failure; however, it may also cause hyperkalaemia subsequently resulting in down-titration or discontinuation of treatment. Hence, there is an unmet need for hyperkalaemia treatment in patients with chronic kidney disease with and without heart failure to enable renin-angiotensin-aldosterone system inhibitor use in this patient population. In this study, we develop a de novo disease progression and cost-effectiveness model to evaluate the clinical and economic outcomes associated with the use of patiromer for the treatment of hyperkalaemia in patients with chronic kidney disease with and without heart failure. METHODS: A Markov model was developed using data from the OPAL-HK trial to assess the health economic impact of patiromer therapy in comparison to standard of care in controlling hyperkalaemia in patients with advanced chronic kidney disease with and without heart failure in the Irish setting. The model was designed to predict the natural history of chronic kidney disease and heart failure and quantify the costs and benefits associated with the use of patiromer for hyperkalaemia management over a lifetime horizon from a payer perspective. RESULTS: Treatment with patiromer was associated with an increase in discounted life-years (8.62 vs 8.37) and an increase in discounted quality-adjusted life-years (6.15 vs 5.95). Incremental discounted costs were predicted at €4979 per patient, with an incremental cost-effectiveness ratio of €25,719 per quality-adjusted life-year gained. Patients remained taking patiromer treatment for an average of 7.7 months, with treatment associated with reductions in the overall clinical event incidence and a delay in chronic kidney disease progression. Furthermore, patiromer was associated with lower overall rates of hospitalisation, major adverse cardiovascular events, dialysis, renin-angiotensin-aldosterone system inhibitor discontinuation episodes and renin-angiotensin-aldosterone system inhibitor down-titration episodes. At a willingness-to-pay threshold of €45,000 per quality-adjusted life-year in Ireland, treatment with patiromer was estimated to have a 100% chance of cost effectiveness compared with standard of care. CONCLUSIONS: This study has demonstrated an economic case for the reimbursement of patiromer for the treatment of hyperkalaemia in patients with chronic kidney disease with and without heart failure in Ireland. Patiromer was estimated to improve life expectancy and quality-adjusted life expectancy, whilst incurring marginal additional costs when compared with current standard of care. Results are predominantly attributed to the ability of patiromer to enable the continuation of renin-angiotensin-aldosterone system inhibitor treatment whilst also reducing potassium levels.

Incorporating Equity Concerns in Cost-Effectiveness Analyses: A Systematic Literature Review.

OBJECTIVE: The aim of this study was to review analytical methods that enable the incorporation of equity concerns within economic evaluation. METHODS: A systematic search of PubMed, Embase, and EconLit was undertaken from database inception to February 2021. The search was designed to identify methodological approaches currently employed to evaluate health-related equity impacts in economic evaluation studies of healthcare interventions. Studies were eligible if they described or elaborated on a formal quantitative method used to integrate equity concerns within economic evaluation studies. Cost-utility, cost-effectiveness, cost-benefit, cost-minimisation, and cost-consequence analyses, as well as health technology appraisals, budget impact analyses, and any relevant literature reviews were included. For each of the identified methods, we provided summaries of the scope of equity considerations covered, the methods employed and their key attributes, data requirements, outcomes, and strengths and weaknesses. A traffic light assessment of the practical suitability of each method was undertaken, alongside a worked example applying the different methods to evaluate the same decision problem. Finally, the review summarises the typical trade-offs arising in cost-effectiveness analyses and discusses the extent to which the evaluation methods are able to capture these. RESULTS: In total, 68 studies were included in the review. Methods could broadly be grouped into equity-based weighting (EBW) methods, extended cost-effectiveness analysis (ECEA), distributional cost-effectiveness analysis (DCEA), multi-criteria decision analysis (MCDA), and mathematical programming (MP). EBW and MP methods enable equity consideration through adjustment to incremental cost-effectiveness ratios, whereas equity considerations are represented through financial risk protection (FRP) outcomes in ECEA, social welfare functions (SWFs) in DCEA, and scoring/ranking systems in MCDA. The review identified potential concerns for EBW methods and MCDA with respect to data availability and for EBW methods and MP with respect to explicitly measuring changes in inequality. The only potential concern for ECEA related to the use of FRP metrics, which may not be relevant for all healthcare systems. In contrast, DCEA presented no significant concerns but relies on the use of SWFs, which may be unfamiliar to some audiences and requires societal preference elicitation. Consideration of typical cost-effectiveness and equity-related trade-offs highlighted the flexibility of most methods with respect to their ability to capture such trade-offs. Notable exceptions were trade-offs between quality of life and length of life, for which we found DCEA and ECEA unsuitable, and the assessment of lost opportunity costs, for which we found only DCEA and MP to be suitable. The worked example demonstrated that each method is designed with fundamentally different analytical objectives in mind. CONCLUSIONS: The review emphasises that some approaches are better suited to particular decision problems than others, that methods are subject to different practical requirements, and that significantly different conclusions can be observed depending on the choice of method and the assumptions made. Further, to fully operationalise these frameworks, there remains a need to develop consensus over the motivation for equity assessment, which should necessarily be informed with stakeholder involvement. Future research of this topic should be a priority, particularly within the context of equity evaluation in healthcare policy decisions.

Accounting for Heterogeneity in Resource Allocation Decisions: Methods and Practice in UK Cancer Technology Appraisals.

OBJECTIVES: The availability of novel, more efficacious and expensive cancer therapies is increasing, resulting in significant treatment effect heterogeneity and complicated treatment and disease pathways. The aim of this study is to review the extent to which UK cancer technology appraisals (TAs) consider the impact of patient and treatment effect heterogeneity. METHODS: A systematic search of National Institute for Health and Care Excellence TAs of colorectal, lung and ovarian cancer was undertaken for the period up to April 2020. For each TA, the pivotal clinical studies and economic evaluations were reviewed for considerations of patient and treatment effect heterogeneity. The study critically reviews the use of subgroup analysis and real-world translation in economic evaluations, alongside specific attributes of the economic modeling framework. RESULTS: The search identified 49 TAs including 49 economic models. In total, 804 subgroup analyses were reported across 69 clinical studies. The most common stratification factors were age, gender, and Eastern Cooperative Oncology Group performance score, with 15% (119 of 804) of analyses demonstrating significantly different clinical outcomes to the main population; economic subgroup analyses were undertaken in only 17 TAs. All economic models were cohort-level with the majority described as partitioned survival models (39) or Markov/semi-Markov models. The impact of real-world heterogeneity on disease progression estimates was only explored in 2 models. CONCLUSION: The ability of current modeling approaches to capture patient and treatment effect heterogeneity is constrained by their limited flexibility and simplistic nature. This study highlights a need for the use of more sophisticated modeling methods that enable greater consideration of real-world heterogeneity.

Current Interventional Radiology-Related Benchmarked Clinical Quality Measures Are Less Likely to be "Capped" Than Diagnostic Radiology Clinical Quality Measures.

In the merit-based incentive payment system (MIPS), quality measures are considered topped out if national median performance rates are ≥95%. Quality measures worth 10 points can be capped at 7 points if topped out for ≥2 years. This report compares the availability of diagnostic radiology (DR)-related and interventional radiology (IR)-related measures worth 10 points. A total of 196 MIPS clinical quality measures were reviewed on the Center for Medicare and Medicaid Services MIPS website. There are significantly more IR-related measures worth 10 points than DR measures (2/9 DR measures vs 9/12 IR measures; P = .03), demonstrating that clinical IR services can help mixed IR/DR groups maximize their Center for Medicare and Medicaid Services payment adjustment.

Estimating HIV Management and Comorbidity Costs Among Aging HIV Patients in the United States: A Systematic Review.

BACKGROUND: As life expectancy of patients infected with human immunodeficiency virus (HIV) approaches that of the general population, the composition of HIV management costs is likely to change. OBJECTIVES: To (a) review treatment and disease management costs in HIV, including costs of adverse events (AEs) related to antiretroviral therapy (ART) and long-term toxicities, and (b) explore the evolving cost drivers. METHODS: A targeted literature review between January 2012 and November 2017 was conducted using PubMed and major conferences. Articles reporting U.S. costs of HIV management, acquired immunodeficiency syndrome (AIDS)-defining events, end of life care, and ART-associated comorbidities such as cardiovascular disease (CVD), chronic kidney disease (CKD), and osteoporosis were included. All costs were inflated to 2017 U.S. dollars. A Markov model-based analysis was conducted to estimate the effect of increased life expectancy on costs associated with HIV treatment and management. RESULTS: 22 studies describing HIV costs in the United States were identified, comprising 16 cost-effectiveness analysis studies, 5 retrospective analyses of health care utilization, and 1 cost analysis in a resource-limited setting. Management costs per patient per month, including routine care costs (on/off ART), non-HIV medication, opportunistic infection prophylaxis, inpatient utilization, outpatient utilization, and emergency department utilization were reported as CD4+ cell-based health state costs ranging from $1,192 for patients with CD4 > 500 cells/mm3 to $2,873 for patients with CD4 < 50 cells/mm3. Event costs for AEs ranged from $0 for headache, pain, vomiting, and lipodystrophy to $31,545 for myocardial infarction. The mean monthly per-patient costs for CVD management, CKD management, and osteoporosis were $5,898, $6,108, and $4,365, respectively. Improvements in life expectancy, approaching that of the general population in 2018, are projected to increase ART-related and AE costs by 35.4% and comorbidity costs by 175.8% compared with estimated costs with HIV life expectancy observed in 1996. CONCLUSIONS: This study identified and summarized holistic cost estimates appropriate for use within U.S. HIV cost-effectiveness analyses and demonstrates an increasing contribution of comorbidity outcomes, primarily associated with aging in addition to long-term treatment with ART, not typically evaluated in contemporary HIV cost-effectiveness analyses. DISCLOSURES: This analysis was sponsored by ViiV Healthcare, which had no role in the analyses and interpretation of study results. Ward, Sugrue, Hayward, and McEwan are employees of HEOR Ltd, which received funding from ViiV Healthcare to conduct this study. Anderson is an employee of GlaxoSmithKline and holds shares in the company. Punekar and Oglesby are employees of ViiV Healthcare and hold shares in GlaxoSmithKline. Lopes was employed by ViiV Healthcare at the time of the study and holds shares in GlaxoSmithKline.

Cost-effectiveness of targeted screening for the identification of patients with atrial fibrillation: evaluation of a machine learning risk prediction algorithm.

Aims: As many cases of atrial fibrillation (AF) are asymptomatic, patients often remain undiagnosed until complications (e.g. stroke) manifest. Risk-prediction algorithms may help to efficiently identify people with undiagnosed AF. However, the cost-effectiveness of targeted screening remains uncertain. This study aimed to assess the cost-effectiveness of targeted screening, informed by a machine learning (ML) risk prediction algorithm, to identify patients with AF.Methods: Cost-effectiveness analyses were undertaken utilizing a hybrid screening decision tree and Markov disease progression model. Costs and outcomes associated with the detection of AF compared traditional systematic and opportunistic AF screening strategies to targeted screening informed by a ML risk prediction algorithm. Model analyses were based on adults ≥50 years and adopted the UK NHS perspective.Results: Targeted screening using the ML risk prediction algorithm required fewer patients to be screened (61 per 1,000 patients, compared to 534 and 687 patients in the systematic and opportunistic strategies) and detected more AF cases (11 per 1,000 patients, compared to 6 and 8 AF cases in the systematic and opportunistic screening strategies). The targeted approach demonstrated cost-effectiveness under base case settings (cost per QALY gained of £4,847 and £5,544 against systematic and opportunistic screening respectively). The targeted screening strategy was predicted to provide an additional 3.40 and 2.05 QALYs per 1,000 patients screened versus systematic and opportunistic strategies. The targeted screening strategy remained cost-effective in all scenarios evaluated.Limitations: The analysis relied on assumptions that include the extended period of patient life span and the lack of consideration for treatment discontinuations/switching, as well as the assumption that the ML risk-prediction algorithm will identify asymptomatic AF.Conclusions: Targeted screening using a ML risk prediction algorithm has the potential to enhance the clinical and cost-effectiveness of AF screening, improving health outcomes through efficient use of limited healthcare resources.

Economic Modelling of Chronic Kidney Disease: A Systematic Literature Review to Inform Conceptual Model Design.

BACKGROUND: Chronic kidney disease (CKD) is a progressive condition that leads to irreversible damage to the kidneys and is associated with an increased incidence of cardiovascular events and mortality. As novel interventions become available, estimates of economic and clinical outcomes are needed to guide payer reimbursement decisions. OBJECTIVE: The aim of the present study was to systematically review published economic models that simulated long-term outcomes of kidney disease to inform cost-effectiveness evaluations of CKD treatments. METHODS: The review was conducted across four databases (MEDLINE, Embase, the Cochrane library and EconLit) and health technology assessment agency websites. Relevant information on each model was extracted. Transition and mortality rates were also extracted to assess the choice of model parameterisation on disease progression by simulating patient's time with end-stage renal disease (ESRD) and time to ESRD/death. The incorporation of cardiovascular disease in a population with CKD was qualitatively assessed across identified models. RESULTS: The search identified 101 models that met the criteria for inclusion. Models were classified into CKD models (n = 13), diabetes models with nephropathy (n = 48), ESRD-only models (n = 33) and cardiovascular models with CKD components (n = 7). Typically, published models utilised frameworks based on either (estimated or measured) glomerular filtration rate (GFR) or albuminuria, in line with clinical guideline recommendations for the diagnosis and monitoring of CKD. Generally, two core structures were identified, either a microsimulation model involving albuminuria or a Markov model utilising CKD stages and a linear GFR decline (although further variations on these model structures were also identified). Analysis of parameter variability in CKD disease progression suggested that mean time to ESRD/death was relatively consistent across model types (CKD models 28.2 years; diabetes models with nephropathy 24.6 years). When evaluating time with ESRD, CKD models predicted extended ESRD survival over diabetes models with nephropathy (mean time with ESRD 8.0 vs. 3.8 years). DISCUSSION: This review provides an overview of how CKD is typically modelled. While common frameworks were identified, model structure varied, and no single model type was used for the modelling of patients with CKD. In addition, many of the current methods did not explicitly consider patient heterogeneity or underlying disease aetiology, except for diabetes. However, the variability of individual patients' GFR and albuminuria trajectories perhaps provides rationale for a model structure designed around the prediction of individual patients' GFR trajectories. Frameworks of future CKD models should be informed and justified based on clinical rationale and availability of data to ensure validity of model results. In addition, further clinical and observational research is warranted to provide a better understanding of prognostic factors and data sources to improve economic modelling accuracy in CKD.

Daclatasvir combined with asunaprevir is a cost-effective and cost-saving treatment for hepatitis C infection in China.

Aim: To evaluate the cost-effectiveness of the novel all-oral direct-acting antiviral regimen daclatasvir + asunaprevir (DUAL), versus interferon-based regimens for the treatment of chronic hepatitis C virus genotype 1b infection. Methods: Inputs for a lifetime Markov model were sourced from clinical trials and published literature. Outputs include disease management costs, life expectancy, quality-adjusted life-years and cost-effectiveness. Sensitivity analyses assessed the drivers of cost-effectiveness and sustained virologic response thresholds at which DUAL is cost-saving. Results: DUAL was associated with discounted incremental quality-adjusted life-years of 1.29-3.85 and incremental life-years of 0.85-2.59 per patient, with discounted lifetime cost savings of USD$1415-8525. Associated sustained virologic response rates could fall to 45.1-84.8%, while remaining dominant. Conclusion: Treatment with DUAL provides significant clinical benefit, while accruing lower lifetime costs.

Designing functionality in perovskite thin films using ion implantation techniques: Assessment and insights from first-principles calculations.

Recent experimental findings have demonstrated that low doses of low energy helium ions can be used to tailor the structural and electronic properties of single crystal films. These initial studies have shown that changes to lattice expansion were proposed to be the direct result of chemical pressure originating predominantly from the implanted He applying chemical pressure at interstitial sites. However, the influence of possible secondary knock-on damage arising from the He atoms transferring energy to the lattice through nuclear-nuclear collision with the crystal lattice remains largely unaddressed. Here, we study SrRuO3 to provide a comprehensive examination of the impact of common defects on structural and electronic properties. We found that, while interstitial He can modify the properties, a dose significantly larger than those reported in experimental studies would be required. Our study suggests that true origin of the observed changes is from combination of secondary defects created during He implantation. Of particular importance, we observe that different defect types can generate greatly varied local electronic structures and that the formation energies and migration energy barriers vary by defect type. Thus, we may have identified a new method of selectively inducing controlled defect complexes into single crystal materials.

Estimating the cost-effectiveness of daclatasvir + sofosbuvir versus sofosbuvir + ribavirin for patients with genotype 3 hepatitis C virus.

BACKGROUND: As treatments for chronic hepatitis C are moving away from interferon-containing regimens, the most appropriate allocation of resources to higher cost, interferon-free, direct-acting antiviral (DAA) regimens needs to be assessed. Hepatitis C virus (HCV) genotype 3 is associated with faster disease progression and has fewer treatment options, historically, than other HCV genotypes. This analysis aims to estimate the comparative cost-effectiveness of two recently licenced interferon-free regimens for the treatment of HCV genotype 3. METHODS: Utilising a published Markov model and results of a matching-adjusted indirect comparison of recently published clinical trial data (ALLY-3 and VALENCE, respectively), 12 weeks of treatment with daclatasvir + sofosbuvir (DCV + SOF) was compared to 24 weeks of treatment with sofosbuvir + ribavirin (SOF + RBV). UK-specific model inputs were used to inform a cost-utility analysis of these regimens. RESULTS: In the base case analysis, DCV + SOF was found to be dominant over SOF + RBV in treatment-naïve patients, patients that had previously been treated, and patients that are intolerant to, or ineligible for, interferon-containing regimens. Given the low rates of treatment currently observed in the UK, DCV + SOF was also compared to no treatment in the interferon-ineligible/intolerant patients, and may be considered cost-effective with an incremental cost-effectiveness ratio of £8817. CONCLUSIONS: When compared to 24 weeks of SOF + RBV, 12 weeks of treatment with DCV + SOF results in improved quality of life and reduced total costs, and therefore is likely to represent significant clinical and economic value as a treatment option for genotype 3 HCV infection.

Assessing the Budget Impact and Economic Outcomes of the Introduction of Daclatasvir + Asunaprevir and Sofosbuvir/Ledipasvir for the Treatment of Chronic Hepatitis C Virus Infection in Japan.

BACKGROUND: The advent of highly efficacious, well-tolerated, all-oral direct-acting antiviral regimens has revolutionized the standard of care for patients chronically infected with hepatitis C virus. As efficacy and safety rates converge, prescribers and payers need to consider value for money. OBJECTIVES: To evaluate the health economic value of daclatasvir + asunaprevir versus sofosbuvir/ledipasvir via a cost-effectiveness analysis, and determine the optimal treatment considering both costs and health outcomes in Japan. METHODS: A previously published Markov model was used to estimate the cost-effectiveness of daclatasvir + asunaprevir compared with sofosbuvir/ledipasvir on the basis of a matching-adjusted indirect comparison of pivotal trials and modeling inputs specific to the Japanese setting. A de novo budget impact model was developed and used to predict the cost implications of differing treatment sequences. RESULTS: Cost-effectiveness results demonstrated minimal difference in terms of benefit (0.037 fewer QALYs and 0.014 fewer life-years with daclatasvir + asunaprevir); nevertheless, a significant difference in cost was predicted (estimated ¥2,299,700 [US $21,695] reduction with daclatasvir + asunaprevir). The budget impact analysis estimated that treatment with daclatasvir + asunaprevir is expected to be less expensive than treatment with sofosbuvir/ledipasvir (as the proportion of patients initially treated with sofosbuvir/ledipasvir increased from 0% to 100%, total costs increased from ¥206 to ¥403 billion [US $1.94 billion to US $3.80 billion]). CONCLUSIONS: On the basis of results from an established cost-effectiveness model and a conventional budget impact analysis, treatment with daclatasvir + asunaprevir is expected to be cost-saving compared with treatment with sofosbuvir/ledipasvir in Japan with similar health outcomes, regardless of treatment sequence.

Estimating the Cost-Effectiveness of One-Time Screening and Treatment for Hepatitis C in Korea.

BACKGROUND AND AIMS: This study aims to investigate the cost-effectiveness of a one-time hepatitis C virus (HCV) screening and treatment program in South Korea where hepatitis B virus (HBV) prevails, in people aged 40-70, compared to current practice (no screening). METHODS: A published Markov model was used in conjunction with a screening and treatment decision tree to model patient cohorts, aged 40-49, 50-59 and 60-69 years, distributed across chronic hepatitis C (CHC) and compensated cirrhosis (CC) health states (82.5% and 17.5%, respectively). Based on a published seroepidemiology study, HCV prevalence was estimated at 0.60%, 0.80% and 1.53%, respectively. An estimated 71.7% of the population was screened. Post-diagnosis, 39.4% of patients were treated with a newly available all-oral direct-acting antiviral (DAA) regimen over 5 years. Published rates of sustained virologic response, disease management costs, transition rates and utilities were utilised. RESULTS: Screening resulted in the identification of 43,635 previously undiagnosed patients across all cohorts. One-time HCV screening and treatment was estimated to be cost-effective across all cohorts; predicted incremental cost-effectiveness ratios ranged from $5,714 to $8,889 per quality-adjusted life year gained. Incremental costs associated with screening, treatment and disease management ranged from $156.47 to $181.85 million USD; lifetime costs-offsets associated with the avoidance of end stage liver disease complications ranged from $51.47 to $57.48 million USD. CONCLUSIONS: One-time HCV screening and treatment in South Korean people aged 40-70 is likely to be highly cost-effective compared to the current practice of no screening.

The cost impact of outreach testing and treatment for hepatitis C in an urban Drug Treatment Unit.

BACKGROUND & AIMS: In developed countries persons who inject drugs (PWID) represents a significant risk for chronic hepatitis C virus (HCV). It is reported that up to half of persons with chronic HCV remain undiagnosed and reliance on attendance to specialist clinics remain a barrier to treatment. This study assesses the feasibility and cost-effectiveness of outreach screening and treatment within a Drug Treatment Unit (DTU). METHODS: All persons attending a London DTU were offered HCV testing, and where appropriate follow-up and treatment by a specialist nurse at the DTU. Three years of data informed a cost-effective-analysis using a validated Markov model. A hypothetical scenario in which only direct acting antiviral (DAA) treatments were used was also assessed. RESULTS: Of 321 persons eligible, 216 were screened, 89 were HCV positive and 66 had confirmatory evidence of viraemia. All were infected with either HCV genotype 1 or 3. Treatment was initiated in 29 persons, 22 with interferon based and 7 DAA only regimens. Following initial treatment 21 (72%) achieved SVR12. It is estimated that this programme represents an average per-patient cost-saving of £2498 and a quality-adjusted life year (QALY) gain of 4.10 over a lifetime. In a hypothetical scenario of all oral DAA treatment, an incremental cost per QALY of £1029 was estimated. CONCLUSION: This study demonstrates feasibility and cost effectiveness of outreach testing and treatment of hepatitis C within comparable DTU settings. Additional costs of newer DAA therapies would not be prohibitive when considering willingness-to-pay thresholds commonly used by policy makers.

Value of Sustained Virologic Response in Patients with Hepatitis C as a Function of Time to Progression of End-Stage Liver Disease.

BACKGROUND: Targeted intervention in patients with hepatitis C virus (HCV) closest to end-stage liver disease (ESLD) progression may offer an approach to treatment prioritisation whilst delivering benefits for patients and the healthcare system. In contrast to previous HCV economic analyses, this study aimed to estimate the health economic value of sustained virologic response (SVR) stratified by the patient's propensity to progress to ESLD. METHODS: An HCV natural history model was adapted to estimate the value of avoiding ESLD complications following SVR, assessed as cost offsets and quality-adjusted life year (QALY) gains, as a function of time to ESLD at treatment initiation. These outcomes were used to estimate the financial value of achieving SVR, defined as the maximum investment that could be allocated without exceeding a willingness-to-pay threshold of £20,000/QALY. RESULTS: Regardless of time to ESLD onset, achieving SVR was beneficial, resulting in cost offsets and QALY gains, due to avoidance of ESLD complications. The value of achieving SVR was greatest in patients closest to ESLD onset, resulting in increased cost offsets and QALY gains (up to £50,901 and 9.56 QALYs). In patients closest to ESLD onset, the financial value of achieving SVR was £242,051, compared with £127,116 in patients furthest from onset. CONCLUSIONS: Standard cost-effectiveness evaluations may underestimate the value of treatment in HCV patients closest to ESLD development. Targeted intervention would promote efficient allocation of limited healthcare resources and reconcile concerns surrounding the affordability of new direct-acting antivirals, by minimising the number-needed-to-treat to maximise health benefit, whilst minimising healthcare expenditure.

Hepatitis C disease transmission and treatment uptake: impact on the cost-effectiveness of new direct-acting antiviral therapies.

BACKGROUND: Hepatitis C virus (HCV) treatment can reduce the incidence of future infections through removing opportunities for onward transmission. This benefit is not captured in conventional cost-effectiveness evaluations of treatment and is particularly relevant in patient groups with a high risk of transmission, such as those people who inject drugs (PWID), where the treatment rates have been historically low. This study aimed to quantify how reduced HCV transmission changes the cost-effectiveness of new direct-acting antiviral (DAA) regimens as a function of treatment uptake rates. METHODS: An established model of HCV disease transmission and progression was used to quantify the impact of treatment uptake (10-100%), within the PWID population, on the cost-effectiveness of a DAA regimen versus pre-DAA standard of care, conducted using daclatasvir plus sofosbuvir in the UK setting as an illustrative example. RESULTS: The consequences of reduced disease transmission due to treatment were associated with additional net monetary benefit of £24,304-£90,559 per patient treated at £20,000/QALY, when 10-100% of eligible patients receive treatment with 100% efficacy. Dependent on patient genotype, the cost-effectiveness of HCV treatment using daclatasvir plus sofosbuvir improved by 36-79% versus conventional analysis, at 10-100% treatment uptake in the PWID population. CONCLUSIONS: The estimated cost-effectiveness of HCV treatment was shown to improve as more patients are treated, suggesting that the value of DAA regimens to the NHS could be enhanced by improved treatment uptake rates among PWID. However, the challenge for the future will lie in achieving increased rates of treatment uptake, particularly in the PWID population.

Estimating the cost-effectiveness of daclatasvir plus asunaprevir in difficult to treat Japanese patients chronically infected with hepatitis C genotype 1b.

AIM: Standard of care for chronic hepatitis C in Japan is currently a pegylated interferon (IFN)-α + ribavirin (PR)-based regimen, notably associated with efficacy and tolerability issues. The advent of novel direct-acting antivirals (DAA) has provided more efficacious and better tolerated treatments. This study investigated the cost-effectiveness of the daclatasvir + asunaprevir (DCV + ASV) DAA regimen in patients infected with hepatitis C virus (HCV) genotype 1b who had previously not responded to or were ineligible for IFN-containing regimens. METHODS: A cost-utility analysis using an established Markov model compared DCV + ASV with simeprevir + PR (SMV + PR), telaprevir + PR (TVR + PR) and no treatment using Japanese-specific model inputs, with costs and utility values discounted at 2%. A cohort of patients was simulated until death and predicted quality-adjusted life-years (QALY) and costs were estimated. A subgroup analysis of patients with no DCV resistance was conducted. RESULTS: In all scenarios, DCV + ASV was predicted to be dominant over the comparator; namely, DCV + ASV was associated with increased QALY gains and decreased cost. In patients treated during the chronic hepatitis C stage, cost reductions were ¥1 057 288-2 619 206, and in patients treated during the compensated cirrhosis (CC) stage, reductions were ¥1 032 224-2 531 930. QALY gains were 0.749-2.609 and 0.874-3.043, respectively. Results improved when considering the subgroup of patients without DCV resistance. CONCLUSION: Cost-effectiveness conclusions are similar for patients treated in the chronic hepatitis C and CC disease stages, with DCV + ASV expected to be cost-saving versus standard of care in Japan for patients with HCV genotype 1b patients who have failed prior therapy or are IFN-ineligible/intolerant.