Immunogenicity and seroefficacy of pneumococcal conjugate vaccines: a systematic review and network meta-analysis.

IF 3.5 2区 医学 Q1 HEALTH CARE SCIENCES & SERVICES Health technology assessment Pub Date : 2024-07-01 DOI:10.3310/YWHA3079
Shuo Feng, Julie McLellan, Nicola Pidduck, Nia Roberts, Julian Pt Higgins, Yoon Choi, Alane Izu, Mark Jit, Shabir A Madhi, Kim Mulholland, Andrew J Pollard, Simon Procter, Beth Temple, Merryn Voysey
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The model estimated the impact of vaccine introduction over a 25-year time period and an economic evaluation was conducted.</p><p><strong>Results: </strong>In total, 47 studies were eligible from 38 countries. Twenty-eight and 12 studies with data available were included in immunogenicity and seroefficacy analyses, respectively. Geometric mean ratios comparing pneumococcal conjugate vaccine-13 versus pneumococcal conjugate vaccine-10 favoured pneumococcal conjugate vaccine-13 for serotypes 4, 9V and 23F at 1 month after primary vaccination series, with 1.14- to 1.54-fold significantly higher immunoglobulin G responses with pneumococcal conjugate vaccine-13. Risk of seroinfection prior to the time of booster dose was lower for pneumococcal conjugate vaccine-13 for serotype 4, 6B, 9V, 18C and 23F than for pneumococcal conjugate vaccine-10. Significant heterogeneity and inconsistency were present for most serotypes and for both outcomes. 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Abstract

Background: Vaccination of infants with pneumococcal conjugate vaccines is recommended by the World Health Organization. Evidence is mixed regarding the differences in immunogenicity and efficacy of the different pneumococcal vaccines.

Objectives: The primary objective was to compare the immunogenicity of pneumococcal conjugate vaccine-10 versus pneumococcal conjugate vaccine-13. The main secondary objective was to compare the seroefficacy of pneumococcal conjugate vaccine-10 versus pneumococcal conjugate vaccine-13.

Methods: We searched the Cochrane Library, EMBASE, Global Health, MEDLINE, ClinicalTrials.gov and trialsearch.who.int up to July 2022. Studies were eligible if they directly compared either pneumococcal conjugate vaccine-7, pneumococcal conjugate vaccine-10 or pneumococcal conjugate vaccine-13 in randomised trials of children under 2 years of age, and provided immunogenicity data for at least one time point. Individual participant data were requested and aggregate data used otherwise. Outcomes included the geometric mean ratio of serotype-specific immunoglobulin G and the relative risk of seroinfection. Seroinfection was defined for each individual as a rise in antibody between the post-primary vaccination series time point and the booster dose, evidence of presumed subclinical infection. Each trial was analysed to obtain the log of the ratio of geometric means and its standard error. The relative risk of seroinfection ('seroefficacy') was estimated by comparing the proportion of participants with seroinfection between vaccine groups. The log-geometric mean ratios, log-relative risks and their standard errors constituted the input data for evidence synthesis. For serotypes contained in all three vaccines, evidence could be synthesised using a network meta-analysis. For other serotypes, meta-analysis was used. Results from seroefficacy analyses were incorporated into a mathematical model of pneumococcal transmission dynamics to compare the differential impact of pneumococcal conjugate vaccine-10 and pneumococcal conjugate vaccine-13 introduction on invasive pneumococcal disease cases. The model estimated the impact of vaccine introduction over a 25-year time period and an economic evaluation was conducted.

Results: In total, 47 studies were eligible from 38 countries. Twenty-eight and 12 studies with data available were included in immunogenicity and seroefficacy analyses, respectively. Geometric mean ratios comparing pneumococcal conjugate vaccine-13 versus pneumococcal conjugate vaccine-10 favoured pneumococcal conjugate vaccine-13 for serotypes 4, 9V and 23F at 1 month after primary vaccination series, with 1.14- to 1.54-fold significantly higher immunoglobulin G responses with pneumococcal conjugate vaccine-13. Risk of seroinfection prior to the time of booster dose was lower for pneumococcal conjugate vaccine-13 for serotype 4, 6B, 9V, 18C and 23F than for pneumococcal conjugate vaccine-10. Significant heterogeneity and inconsistency were present for most serotypes and for both outcomes. Twofold higher antibody after primary vaccination was associated with a 54% decrease in risk of seroinfection (relative risk 0.46, 95% confidence interval 0.23 to 0.96). In modelled scenarios, pneumococcal conjugate vaccine-13 or pneumococcal conjugate vaccine-10 introduction in 2006 resulted in a reduction in cases that was less rapid for pneumococcal conjugate vaccine-10 than for pneumococcal conjugate vaccine-13. The pneumococcal conjugate vaccine-13 programme was predicted to avoid an additional 2808 (95% confidence interval 2690 to 2925) cases of invasive pneumococcal disease compared with pneumococcal conjugate vaccine-10 introduction between 2006 and 2030.

Limitations: Analyses used data from infant vaccine studies with blood samples taken prior to a booster dose. The impact of extrapolating pre-booster efficacy to post-booster time points is unknown. Network meta-analysis models contained significant heterogeneity which may lead to bias.

Conclusions: Serotype-specific differences were found in immunogenicity and seroefficacy between pneumococcal conjugate vaccine-13 and pneumococcal conjugate vaccine-10. Higher antibody response after vaccination was associated with a lower risk of subsequent infection. These methods can be used to compare the pneumococcal conjugate vaccines and optimise vaccination strategies. For future work, seroefficacy estimates can be determined for other pneumococcal vaccines, which could contribute to licensing or policy decisions for new pneumococcal vaccines.

Study registration: This study is registered as PROSPERO CRD42019124580.

Funding: This award was funded by the National Institute for Health and Care Research (NIHR) Health Technology Assessment programme (NIHR award ref: 17/148/03) and is published in full in Health Technology Assessment; Vol. 28, No. 34. See the NIHR Funding and Awards website for further award information.

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肺炎球菌结合疫苗的免疫原性和血清效价:系统综述和网络荟萃分析。
背景:世界卫生组织建议为婴儿接种肺炎球菌结合疫苗。关于不同肺炎球菌疫苗在免疫原性和有效性方面的差异,证据不一:主要目的是比较肺炎球菌结合疫苗-10 和肺炎球菌结合疫苗-13 的免疫原性。主要次要目标是比较肺炎球菌结合疫苗-10 和肺炎球菌结合疫苗-13 的血清效价:我们检索了截至 2022 年 7 月的 Cochrane Library、EMBASE、Global Health、MEDLINE、ClinicalTrials.gov 和 trialsearch.who.int。在针对 2 岁以下儿童的随机试验中直接比较肺炎球菌结合疫苗-7、肺炎球菌结合疫苗-10 或肺炎球菌结合疫苗-13,并提供至少一个时间点免疫原性数据的研究均符合条件。要求提供单个参与者的数据,否则使用汇总数据。结果包括血清型特异性免疫球蛋白 G 的几何平均比值和血清感染的相对风险。血清感染的定义是每个人在初次接种疫苗后至加强剂量之间的抗体上升,即假定亚临床感染的证据。对每项试验进行分析,得出几何平均数比值的对数及其标准误差。血清感染的相对风险("血清效价")是通过比较不同疫苗组之间出现血清感染的参与者比例来估算的。对数几何平均比、对数相对风险及其标准误差构成了证据综合的输入数据。对于所有三种疫苗所含的血清型,可采用网络荟萃分析法进行证据综合。对于其他血清型,则采用荟萃分析法。血清效价分析结果被纳入肺炎球菌传播动态数学模型,以比较引入肺炎球菌结合疫苗-10 和肺炎球菌结合疫苗-13 对侵入性肺炎球菌疾病病例的不同影响。该模型估算了在 25 年时间内接种疫苗的影响,并进行了经济评估:共有来自 38 个国家的 47 项研究符合条件。在免疫原性和血清效价分析中,分别纳入了 28 项和 12 项有数据的研究。接种肺炎球菌结合疫苗-13 和肺炎球菌结合疫苗-10 的几何平均比值显示,在初次接种系列疫苗 1 个月后,血清型 4、9V 和 23F 的肺炎球菌结合疫苗-13 更受青睐,肺炎球菌结合疫苗-13 的免疫球蛋白 G 反应显著高出 1.14-1.54 倍。肺炎球菌结合疫苗-13 血清型 4、6B、9V、18C 和 23F 的血清感染风险低于肺炎球菌结合疫苗-10。大多数血清型和两种结果都存在显著的异质性和不一致性。初次接种后抗体提高两倍与血清感染风险降低 54% 有关(相对风险为 0.46,95% 置信区间为 0.23 至 0.96)。在模拟情景中,2006 年引入肺炎球菌结合疫苗-13 或肺炎球菌结合疫苗-10 后,肺炎球菌结合疫苗-10 的病例减少速度低于肺炎球菌结合疫苗-13。据预测,在 2006 年至 2030 年期间,与接种肺炎球菌结合疫苗-10 相比,接种肺炎球菌结合疫苗-13 可额外避免 2808 例(95% 置信区间为 2690 至 2925)侵袭性肺炎球菌疾病:分析使用了婴儿疫苗研究的数据,并在加强剂量前采集了血液样本。将加强剂量前的疗效推断到加强剂量后的时间点所产生的影响尚不清楚。网络荟萃分析模型包含显著的异质性,可能会导致偏差:肺炎球菌结合疫苗-13 和肺炎球菌结合疫苗-10 在免疫原性和血清效价方面存在血清型特异性差异。接种后抗体反应越高,后续感染风险越低。这些方法可用于比较肺炎球菌结合疫苗和优化疫苗接种策略。在未来的工作中,还可以确定其他肺炎球菌疫苗的血清效价估计值,这将有助于新肺炎球菌疫苗的许可或政策决策:本研究已注册为 PROSPERO CRD42019124580:该奖项由英国国家健康与护理研究所(NIHR)健康技术评估项目资助(NIHR奖项编号:17/148/03),全文发表于《健康技术评估》(Health Technology Assessment)第28卷第34期。欲了解更多奖项信息,请参阅 NIHR Funding and Awards 网站。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Health technology assessment
Health technology assessment 医学-卫生保健
CiteScore
6.90
自引率
0.00%
发文量
94
审稿时长
>12 weeks
期刊介绍: Health Technology Assessment (HTA) publishes research information on the effectiveness, costs and broader impact of health technologies for those who use, manage and provide care in the NHS.
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