Fred Hutchinson Cancer Center, 1100 Fairview Ave N, Seattle, WA 98109, USA.
Sanofi, USA.
Epidemics. 2024 Jun;47:100768. doi: 10.1016/j.epidem.2024.100768. Epub 2024 Apr 15.
While rapid development and roll out of COVID-19 vaccines is necessary in a pandemic, the process limits the ability of clinical trials to assess longer-term vaccine efficacy. We leveraged COVID-19 surveillance data in the U.S. to evaluate vaccine efficacy in U.S. Government-funded COVID-19 vaccine efficacy trials with a three-step estimation process. First, we used a compartmental epidemiological model informed by county-level surveillance data, a "population model", to estimate SARS-CoV-2 incidence among the unvaccinated. Second, a "cohort model" was used to adjust the population SARS-CoV-2 incidence to the vaccine trial cohort, taking into account individual participant characteristics and the difference between SARS-CoV-2 infection and COVID-19 disease. Third, we fit a regression model estimating the offset between the cohort-model-based COVID-19 incidence in the unvaccinated with the placebo-group COVID-19 incidence in the trial during blinded follow-up. Counterfactual placebo COVID-19 incidence was estimated during open-label follow-up by adjusting the cohort-model-based incidence rate by the estimated offset. Vaccine efficacy during open-label follow-up was estimated by contrasting the vaccine group COVID-19 incidence with the counterfactual placebo COVID-19 incidence. We documented good performance of the methodology in a simulation study. We also applied the methodology to estimate vaccine efficacy for the two-dose AZD1222 COVID-19 vaccine using data from the phase 3 U.S. trial (ClinicalTrials.gov # NCT04516746). We estimated AZD1222 vaccine efficacy of 59.1% (95% uncertainty interval (UI): 40.4%-74.3%) in April, 2021 (mean 106 days post-second dose), which reduced to 35.7% (95% UI: 15.0%-51.7%) in July, 2021 (mean 198 days post-second-dose). We developed and evaluated a methodology for estimating longer-term vaccine efficacy. This methodology could be applied to estimating counterfactual placebo incidence for future placebo-controlled vaccine efficacy trials of emerging pathogens with early termination of blinded follow-up, to active-controlled or uncontrolled COVID-19 vaccine efficacy trials, and to other clinical endpoints influenced by vaccination.
虽然在大流行期间快速开发和推出 COVID-19 疫苗是必要的,但该过程限制了临床试验评估疫苗长期疗效的能力。我们利用美国的 COVID-19 监测数据,通过三步估计过程评估了美国政府资助的 COVID-19 疫苗效力试验中的疫苗效力。首先,我们使用基于县级监测数据的房室流行病学模型(“人群模型”)来估计未接种疫苗者中的 SARS-CoV-2 发病率。其次,使用“队列模型”来调整人群 SARS-CoV-2 发病率以适应疫苗试验队列,同时考虑个体参与者特征和 SARS-CoV-2 感染与 COVID-19 疾病之间的差异。第三,我们拟合回归模型,估算在盲法随访期间,未接种疫苗人群模型估算的 COVID-19 发病率与试验安慰剂组 COVID-19 发病率之间的差值。在开放标签随访期间,通过调整基于队列模型的发病率,用估计的差值来估算安慰剂 COVID-19 的发生率。在开放标签随访期间,通过比较疫苗组 COVID-19 发病率与估计的安慰剂 COVID-19 发病率来估计疫苗效力。我们在一项模拟研究中证明了该方法的良好性能。我们还应用该方法使用来自美国 3 期试验(ClinicalTrials.gov # NCT04516746)的数据来估计两剂 AZD1222 COVID-19 疫苗的效力。我们估计 AZD1222 疫苗在 2021 年 4 月(第二次接种后平均 106 天)的效力为 59.1%(95%置信区间(UI):40.4%-74.3%),而在 2021 年 7 月(第二次接种后平均 198 天)效力降低至 35.7%(95% UI:15.0%-51.7%)。我们开发并评估了一种估计长期疫苗效力的方法。该方法可用于估算未来具有早期盲法随访终止的新兴病原体安慰剂对照疫苗效力试验的安慰剂对照发病率,用于活性对照或非对照 COVID-19 疫苗效力试验,以及其他受疫苗接种影响的临床终点。