Institute for Pandemics and Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada.
Institute for Pandemics and Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada.
Vaccine. 2024 Nov 14;42(25):126134. doi: 10.1016/j.vaccine.2024.07.035. Epub 2024 Jul 14.
Though widely applied in other epidemiological fields, the case-cohort study design has seen little application in the field of vaccinology. Case-cohort studies use probabilistic sampling and reweighting to draw inferences about effects (in this case vaccine efficacy) at the population level in an efficient manner. The SARS-CoV-2 pandemic was met with high vaccine uptake, and high rates of population testing prior to the emergence of Omicron variants of concern, in Ontario, Canada, providing an ideal environment for application of case-cohort methodology. We combined a population-based case line list and vaccination database for the province of Ontario between December 2020 and October 2021. Risk of infection after vaccination was evaluated in all laboratory-confirmed vaccinated SARS-CoV-2 cases, and a 2 % sample of vaccinated controls, evaluated using survival analytic methods, including construction of Cox proportional hazards models. Vaccination status was treated as a time-varying covariate. First and second doses of SARS-CoV-2 vaccine markedly reduced risk of infection (first dose efficacy 68 %, 95 % CI 67 %-69 %; second dose efficacy 88 %, 95 % CI 87-88 %). In multivariable models, extended dosing intervals were associated with lowest risk of breakthrough infection (HR for redosing 0.64 (95 % CI 0.61-0.67) at 6-8 weeks). Heterologous vaccine schedules that mixed viral vector vaccine first doses with mRNA second doses were significantly more effective than mRNA only vaccines. Risk of infection largely vanished during the time period 4-6 months after the second vaccine dose, but rose markedly thereafter. We conclude that a case-cohort design provided an efficient means to identify strong protective effects associated with SARS-CoV-2 vaccination in real time, and also served to quantify the timing and magnitude of infection breakthrough risk in the same cohort. Heterologous vaccination and extended dosing intervals improved the durability of immune response.
尽管病例-队列研究设计在其他流行病学领域得到了广泛应用,但在疫苗学领域的应用却很少。病例-队列研究使用概率抽样和重新加权,以有效地推断人群水平的效应(在这种情况下是疫苗效力)。SARS-CoV-2 大流行期间,加拿大安大略省的疫苗接种率很高,在出现令人关注的奥密克戎变异株之前,人群检测率也很高,这为病例-队列方法的应用提供了理想的环境。我们结合了安大略省 2020 年 12 月至 2021 年 10 月期间的基于人群的病例线列表和疫苗接种数据库。使用生存分析方法,包括构建 Cox 比例风险模型,评估了所有实验室确诊的接种 SARS-CoV-2 病例以及接种疫苗对照的 2%样本的接种后感染风险。疫苗接种状态被视为随时间变化的协变量。SARS-CoV-2 疫苗的第一和第二剂显著降低了感染风险(第一剂效力 68%,95%CI 67%-69%;第二剂效力 88%,95%CI 87-88%)。在多变量模型中,延长的接种间隔与突破性感染的最低风险相关(6-8 周时再次接种的 HR 为 0.64(95%CI 0.61-0.67))。混合了病毒载体疫苗第一剂和 mRNA 第二剂的异源疫苗接种方案明显比仅使用 mRNA 的疫苗更有效。感染风险在第二剂疫苗接种后 4-6 个月期间基本消失,但此后显著上升。我们得出结论,病例-队列设计提供了一种有效的方法,可以实时识别与 SARS-CoV-2 接种相关的强大保护作用,并定量评估同一队列中感染突破风险的时间和程度。异源疫苗接种和延长的接种间隔提高了免疫反应的持久性。