Weerasuriya C K, Clark R A, White R G, Harris R C
From the, TB Modelling Group, Department of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, UK.
J Intern Med. 2020 Dec;288(6):661-681. doi: 10.1111/joim.13197.
Tuberculosis remains a major source of morbidity and mortality worldwide, with 10 million cases and 1.5 million deaths in 2018. Achieving 'End TB' prevention and care goals by 2035 will likely require a new tuberculosis vaccine. The tuberculosis vaccine development pipeline has seen encouraging progress; however, questions around their population impact and implementation remain. Mathematical modelling investigates these questions to inform vaccine development and deployment strategies. We provide an update on the current vaccine development pipeline, and a systematic literature review of mathematical modelling of the epidemiological impact of new tuberculosis vaccines. Fourteen prophylactic tuberculosis vaccine candidates are currently in clinical trials. Two candidates have shown promise in phase II proof-of-concept efficacy trials: M72/AS01 demonstrated 49.7% (95% CI; 2.1, 74.2) protection against tuberculosis disease, and BCG revaccination demonstrated 45.4% (95% CI; 6.4, 68.1) protection against sustained Mycobacterium tuberculosis infection. Since the last modelling review, new studies have investigated the epidemiological impact of differential vaccine characteristics, age targeting and spatial/risk group targeting. Critical research priorities for M72/AS01 include completing the currently in-design trial, powered to improve the precision of efficacy estimates, include uninfected populations and further assess safety and immunogenicity in HIV-infected people. For BCG revaccination, the priority is completing the ongoing confirmation of efficacy trial. Critical modelling gaps remain on the full value proposition of vaccines, comparisons with other interventions and more realistic implementation strategies. Using carefully designed trials and modelling, we must prepare for success, to ensure that new vaccines will be promptly received by those most in need.
结核病仍然是全球发病和死亡的主要原因,2018年有1000万例病例和150万人死亡。到2035年实现“终结结核病”的预防和治疗目标可能需要一种新型结核病疫苗。结核病疫苗研发进展令人鼓舞;然而,围绕其对人群的影响和实施的问题依然存在。数学建模对这些问题进行研究,以为疫苗研发和部署策略提供信息。我们提供了当前疫苗研发进展的最新情况,以及对新型结核病疫苗流行病学影响的数学建模的系统文献综述。目前有14种预防性结核病候选疫苗正在进行临床试验。两种候选疫苗在II期概念验证疗效试验中显示出前景:M72/AS01对结核病的预防效力为49.7%(95%CI;2.1,74.2),卡介苗再接种对结核分枝杆菌持续感染的预防效力为45.4%(95%CI;6.4,68.1)。自上次建模综述以来,新的研究调查了不同疫苗特性、年龄靶向和空间/风险组靶向的流行病学影响。M72/AS01的关键研究重点包括完成目前正在设计的试验,该试验旨在提高疗效估计的精度,纳入未感染人群,并进一步评估HIV感染者的安全性和免疫原性。对于卡介苗再接种,重点是完成正在进行的疗效确认试验。在疫苗的全部价值主张、与其他干预措施的比较以及更现实的实施策略方面,关键的建模差距仍然存在。我们必须通过精心设计的试验和建模为成功做好准备,以确保最有需要的人能够及时接种新疫苗。