Is it time for China to prioritize pan-genotypic regimens for treating patients with hepatitis C?

IF 1.7 4区 医学 Q3 HEALTH POLICY & SERVICES Cost Effectiveness and Resource Allocation Pub Date : 2024-02-06 DOI:10.1186/s12962-024-00519-2
Yusi Tu, Xiangyan Tang, Dachuang Zhou, Hanqiao Shao, Leyi Liang, Wenxi Tang
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Abstract

Introduction: The treatment of hepatitis C has entered the pan-genotypic era, but the effectiveness is not good for the genotype 3b patients who have a large proportion in China. The guidelines for hepatitis C recommend the use of gene-specific regimens when the regional 3b prevalence rate greater than 5%. This study is to explore rationality of this proportion and the cost-effectiveness to implement pan-genotypic regimens in China.

Methods: A decision Markov model was developed from the health system perspective to evaluate the effectiveness and cost-effectiveness between pan-genotypic and gene-specific treatment regimens for hepatitis C patients. Additionally, we set a regional genotype 3b patient proportion of 0-100% to explore at which proportion it is necessary to perform genotype identification and typing therapy on patients. Model parameters were derived from published literature and public databases. Effectiveness was measured by cured patient numbers, newly diagnosed cases of decompensated cirrhosis, hepatocellular carcinoma, need for liver transplantation, and quality-adjusted life years (QALYs). Cost-effectiveness outcomes included costs and the incremental cost-effectiveness ratio (ICER). The 1-3 times 2022 Chinese per capita gross domestic product was used as the willingness-to-pay threshold. One-way and probabilistic sensitivity analyses were performed to assess the uncertainty of the model parameters.

Results: Compared with gene-specific regimens, pan-genotypic regimens resulted in an additional 0.13 QALYs and an incremental cost of $165, the ICER was $1,268/QALY. From the view of efficacy, the pan-genotypic regimens cured 5,868 more people per 100,000 patients than gene-specific regimens, avoiding 86.5% of DC cases, 64.6% of HCC cases, and 78.2% of liver transplant needs. Identifying 3b patients before treatment was definitely cost-effectiveness when their prevalence was 12% or higher. The results remained robust in sensitivity analyses.

Conclusions: In China, the prioritized recommendation of pan-genotypic therapeutics proves to be both cost-effective and efficacious. But, in regions where the prevalence of genotype 3b exceeds 12%, it is necessary to identify them to provision of more suitable therapies.

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中国是否应优先考虑治疗丙型肝炎患者的泛基因型方案?
导言:丙型肝炎的治疗已进入泛基因型时代,但对于在中国占很大比例的基因型 3b 患者来说,疗效并不理想。丙肝指南建议,当地区 3b 感染率超过 5%时,应使用基因特异性方案。本研究旨在探讨这一比例的合理性,以及在中国实施泛基因型治疗方案的成本效益:方法:我们从卫生系统的角度建立了一个决策马尔可夫模型,以评估丙肝患者采用泛基因型治疗方案和基因特异性治疗方案的有效性和成本效益。此外,我们还将地区基因型 3b 患者的比例设定为 0-100%,以探讨在多大比例的患者中有必要进行基因型鉴定和分型治疗。模型参数来自已发表的文献和公共数据库。疗效通过治愈患者人数、新诊断的失代偿性肝硬化病例、肝细胞癌、肝移植需求以及质量调整生命年(QALYs)来衡量。成本效益结果包括成本和增量成本效益比(ICER)。2022 年中国人均国内生产总值的 1-3 倍被用作支付意愿阈值。为评估模型参数的不确定性,进行了单向和概率敏感性分析:与基因特异性治疗方案相比,泛基因型治疗方案可增加 0.13 QALYs,增量成本为 165 美元,ICER 为 1268 美元/QALY。从疗效来看,与基因特异性方案相比,泛基因型方案每10万名患者中多治愈了5868人,避免了86.5%的DC病例、64.6%的HCC病例和78.2%的肝移植需求。当 3b 患者的发病率为 12% 或更高时,在治疗前识别 3b 患者无疑具有成本效益。在敏感性分析中,结果依然稳健:结论:在中国,优先推荐泛基因型疗法被证明既经济又有效。但在基因型 3b 患病率超过 12% 的地区,有必要对其进行识别,以便提供更合适的疗法。
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来源期刊
Cost Effectiveness and Resource Allocation
Cost Effectiveness and Resource Allocation HEALTH POLICY & SERVICES-
CiteScore
3.40
自引率
4.30%
发文量
59
审稿时长
34 weeks
期刊介绍: Cost Effectiveness and Resource Allocation is an Open Access, peer-reviewed, online journal that considers manuscripts on all aspects of cost-effectiveness analysis, including conceptual or methodological work, economic evaluations, and policy analysis related to resource allocation at a national or international level. Cost Effectiveness and Resource Allocation is aimed at health economists, health services researchers, and policy-makers with an interest in enhancing the flow and transfer of knowledge relating to efficiency in the health sector. Manuscripts are encouraged from researchers based in low- and middle-income countries, with a view to increasing the international economic evidence base for health.
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