Tian Feng, Forouzannia Farinaz, Feng Zeny, Biondi Mia J, Mendlowitz Andrew B, Feld Jordan J, Sander Beate, Wong William W L
School of Pharmacy, University of Waterloo, Kitchener, Ontario, Canada.
Department of Mathematics and Statistics, University of Guelph, Guelph, Ontario, Canada.
Hepatology. 2024 Aug 1;80(2):440-450. doi: 10.1097/HEP.0000000000000779. Epub 2024 Mar 13.
Despite the availability of highly effective direct-acting antiviral therapy, chronic hepatitis C (CHC) continues to cause a major public health burden. In many high-income countries, treatment rates have been declining, which was exacerbated by the impact of the COVID-19 pandemic, threatening the ability to meet the World Health Organization (WHO)'s targets for eliminating HCV as a public health threat by 2030. We sought to model the impact of CHC in Canada, a resource-rich country with ongoing immigration from HCV-endemic regions; which relies exclusively on risk-based screening for case identification.
We developed an agent-based model to characterize the HCV epidemic in a high-income country with ongoing immigration. Combinations of prevention such as harm reduction, screening, and treatment strategies were considered. Model parameters were estimated from the literature and calibrated against historical HCV data. Sensitivity analyses were performed to assess uncertainty. Under the current status quo of risk-based screening, we predict the incidence of CHC-induced decompensated cirrhosis, HCC, and liver-related deaths would decrease by 79.4%, 76.1%, and 62.1%, respectively, between 2015 and 2030, but CHC incidence would only decrease by 11.1%. The results were sensitive to HCV transmission rate and an annual number of people initiating treatment.
Current risk-based screening, and subsequent treatment, will be inadequate to achieve WHO goals. With extensive scale-up in screening, and treatment, the mortality target may be achievable, but the target for preventing new CHC cases is unlikely reachable, highlighting the importance of developing enhanced harm-reduction strategies for HCV elimination.
尽管有高效的直接抗病毒疗法,但慢性丙型肝炎(CHC)仍继续造成重大的公共卫生负担。在许多高收入国家,治疗率一直在下降,而2019冠状病毒病大流行的影响使其进一步恶化,这威胁到实现世界卫生组织(WHO)到2030年消除丙型肝炎作为公共卫生威胁的目标的能力。我们试图模拟CHC在加拿大的影响,加拿大是一个资源丰富的国家,有来自丙型肝炎流行地区的持续移民;该国完全依靠基于风险的筛查来识别病例。
我们开发了一个基于主体的模型来描述一个有持续移民的高收入国家的丙型肝炎流行情况。考虑了减少伤害、筛查和治疗策略等预防措施的组合。模型参数从文献中估计,并根据历史丙型肝炎数据进行校准。进行敏感性分析以评估不确定性。在当前基于风险的筛查现状下,我们预测在2015年至2030年期间,CHC导致的失代偿性肝硬化、肝癌和肝脏相关死亡的发生率将分别下降79.4%、76.1%和62.1%,但CHC发病率仅下降11.1%。结果对丙型肝炎传播率和每年开始治疗的人数敏感。
当前基于风险的筛查及后续治疗不足以实现WHO的目标。随着筛查和治疗的广泛扩大,死亡率目标可能可以实现,但预防新的CHC病例的目标不太可能实现,这凸显了制定强化的减少伤害策略以消除丙型肝炎的重要性。