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疫苗试验中细菌携带样本采集的时间:一项建模研究。

Timing of bacterial carriage sampling in vaccine trials: a modelling study.

作者信息

Scott Pippa, Herzog Sereina A, Auranen Kari, Dagan Ron, Low Nicola, Egger Matthias, Heijne Janneke C M

机构信息

Institute of Social and Preventive Medicine, University of Bern, Switzerland.

Institute of Social and Preventive Medicine, University of Bern, Switzerland; Institute for Medical Informatics, Statistics and Documentation, Medical University of Graz, Austria.

出版信息

Epidemics. 2014 Dec;9:8-17. doi: 10.1016/j.epidem.2014.08.003. Epub 2014 Aug 26.

Abstract

BACKGROUND

Pathogenic bacteria are often asymptomatically carried in the nasopharynx. Bacterial carriage can be reduced by vaccination and has been used as an alternative endpoint to clinical disease in randomised controlled trials (RCTs). Vaccine efficacy (VE) is usually calculated as 1 minus a measure of effect. Estimates of vaccine efficacy from cross-sectional carriage data collected in RCTs are usually based on prevalence odds ratios (PORs) and prevalence ratios (PRs), but it is unclear when these should be measured.

METHODS

We developed dynamic compartmental transmission models simulating RCTs of a vaccine against a carried pathogen to investigate how VE can best be estimated from cross-sectional carriage data, at which time carriage should optimally be assessed, and to which factors this timing is most sensitive. In the models, vaccine could change carriage acquisition and clearance rates (leaky vaccine); values for these effects were explicitly defined (f(acq), 1/f(dur)). POR and PR were calculated from model outputs. Models differed in infection source: other participants or external sources unaffected by the trial. Simulations using multiple vaccine doses were compared to empirical data.

RESULTS

The combined VE against acquisition and duration calculated using POR (VE(acq.dur), (1-POR) × 100) best estimates the true VE (VE(acq.dur), (1-f(acq) × f(dur)) × 100) for leaky vaccines in most scenarios. The mean duration of carriage was the most important factor determining the time until VE(acq.dur) first approximates VE(acq.dur): if the mean duration of carriage is 1-1.5 months, up to 4 months are needed; if the mean duration is 2-3 months, up to 8 months are needed. Minor differences were seen between models with different infection sources. In RCTs with shorter intervals between vaccine doses it takes longer after the last dose until VE(acq.dur) approximates VE(acq.dur).

CONCLUSION

The timing of sample collection should be considered when interpreting vaccine efficacy against bacterial carriage measured in RCTs.

摘要

背景

致病细菌常无症状地寄居于鼻咽部。接种疫苗可减少细菌携带,且在随机对照试验(RCT)中已被用作临床疾病的替代终点。疫苗效力(VE)通常计算为1减去效应量。从RCT中收集的横断面携带数据估算疫苗效力,通常基于患病率比值比(POR)和患病率比(PR),但尚不清楚何时应测量这些指标。

方法

我们构建了动态房室传播模型,模拟针对携带病原体的疫苗的RCT,以研究如何从横断面携带数据最佳地估算VE,应在何时最佳地评估携带情况,以及该时间对哪些因素最为敏感。在模型中,疫苗可改变携带获得率和清除率(渗漏疫苗);明确界定了这些效应的值(f(acq),1/f(dur))。从模型输出中计算POR和PR。模型在感染源方面存在差异:其他参与者或不受试验影响的外部来源。将使用多剂疫苗的模拟结果与实证数据进行比较。

结果

在大多数情况下,使用POR计算的针对获得和持续时间的综合VE(VE(acq.dur),(1 - POR)×100)能最佳地估算渗漏疫苗的真实VE(VE(acq.dur),(1 - f(acq)×f(dur))×100)。携带的平均持续时间是决定VE(acq.dur)首次接近VE(acq.dur)所需时间的最重要因素:如果携带的平均持续时间为1 - 1.5个月,则需要长达4个月;如果平均持续时间为2 - 3个月,则需要长达8个月。不同感染源的模型之间存在细微差异。在疫苗剂量间隔较短的RCT中,最后一剂疫苗接种后,VE(acq.dur)接近VE(acq.dur)所需的时间更长。

结论

在解释RCT中测量的针对细菌携带的疫苗效力时,应考虑样本采集的时间。

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