Center for Biomedical Information Technology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China; Department of Public Health and Primary Care, School of Clinical Medicine, University of Cambridge, Cambridge, UK.
Center for Biomedical Information Technology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.
Lancet Microbe. 2023 Apr;4(4):e236-e246. doi: 10.1016/S2666-5247(22)00390-1. Epub 2023 Feb 28.
The efficacy of SARS-CoV-2 vaccines in preventing severe COVID-19 illness and death is uncertain due to the rarity of data in individual trials. How well the antibody concentrations can predict the efficacy is also uncertain. We aimed to assess the efficacy of these vaccines in preventing SARS-CoV-2 infections of different severities and the dose-response relationship between the antibody concentrations and efficacy.
We did a systematic review and meta-analysis of randomised controlled trials (RCTs). We searched PubMed, Embase, Scopus, Web of Science, Cochrane Library, WHO, bioRxiv, and medRxiv for papers published between Jan 1, 2020 and Sep 12, 2022. RCTs on the efficacy of SARS-CoV-2 vaccines were eligible. Risk of bias was assessed using the Cochrane tool. A frequentist, random-effects model was used to combine efficacy for common outcomes (ie, symptomatic and asymptomatic infections) and a Bayesian random-effects model was used for rare outcomes (ie, hospital admission, severe infection, and death). Potential sources of heterogeneity were investigated. The dose-response relationships of neutralising, spike-specific IgG and receptor binding domain-specific IgG antibody titres with efficacy in preventing SARS-CoV-2 symptomatic and severe infections were examined by meta-regression. This systematic review is registered with PROSPERO, CRD42021287238.
28 RCTs (n=286 915 in vaccination groups and n=233 236 in placebo groups; median follow-up 1-6 months after last vaccination) across 32 publications were included in this review. The combined efficacy of full vaccination was 44·5% (95% CI 27·8-57·4) for preventing asymptomatic infections, 76·5% (69·8-81·7) for preventing symptomatic infections, 95·4% (95% credible interval 88·0-98·7) for preventing hospitalisation, 90·8% (85·5-95·1) for preventing severe infection, and 85·8% (68·7-94·6) for preventing death. There was heterogeneity in the efficacy of SARS-CoV-2 vaccines against asymptomatic and symptomatic infections but insufficient evidence to suggest whether the efficacy could differ according to the type of vaccine, age of the vaccinated individual, and between-dose interval (p>0·05 for all). Vaccine efficacy against symptomatic infection waned over time after full vaccination, with an average decrease of 13·6% (95% CI 5·5-22·3; p=0·0007) per month but can be enhanced by a booster. We found a significant non-linear relationship between each type of antibody and efficacy against symptomatic and severe infections (p<0·0001 for all), but there remained considerable heterogeneity in the efficacy, which cannot be explained by antibody concentrations. The risk of bias was low in most studies.
The efficacy of SARS-CoV-2 vaccines is higher for preventing severe infection and death than for preventing milder infection. Vaccine efficacy wanes over time but can be enhanced by a booster. Higher antibody titres are associated with higher estimates of efficacy but precise predictions are difficult due to large unexplained heterogeneity. These findings provide an important knowledge base for interpretation and application of future studies on these issues.
Shenzhen Science and Technology Programs.
由于个体试验中数据的罕见性,SARS-CoV-2 疫苗预防严重 COVID-19 疾病和死亡的疗效尚不确定。抗体浓度能在多大程度上预测疗效也不确定。我们旨在评估这些疫苗在预防不同严重程度的 SARS-CoV-2 感染方面的疗效,以及抗体浓度与疗效之间的剂量反应关系。
我们对随机对照试验(RCT)进行了系统评价和荟萃分析。我们检索了 PubMed、Embase、Scopus、Web of Science、Cochrane 图书馆、世界卫生组织、bioRxiv 和 medRxiv 上 2020 年 1 月 1 日至 2022 年 9 月 12 日发表的论文。符合条件的 RCT 是评估 SARS-CoV-2 疫苗疗效的研究。使用 Cochrane 工具评估偏倚风险。使用固定效应模型合并常见结局(即有症状和无症状感染)的疗效,使用贝叶斯随机效应模型合并罕见结局(即住院、严重感染和死亡)的疗效。研究了潜在的异质性来源。通过荟萃回归研究了中和、刺突特异性 IgG 和受体结合域特异性 IgG 抗体滴度与预防 SARS-CoV-2 有症状和严重感染的疗效之间的剂量反应关系。本系统评价已在 PROSPERO 注册,CRD42021287238。
共纳入 28 项 RCT(疫苗组 286915 例,安慰剂组 233236 例;中位随访时间为最后一次接种疫苗后 1-6 个月),涉及 32 篇文献。完全接种疫苗的预防无症状感染的综合疗效为 44.5%(95%CI 27.8-57.4),预防有症状感染的疗效为 76.5%(69.8-81.7),预防住院的疗效为 95.4%(95%可信区间 88.0-98.7),预防严重感染的疗效为 90.8%(85.5-95.1),预防死亡的疗效为 85.8%(68.7-94.6)。SARS-CoV-2 疫苗预防无症状和有症状感染的疗效存在异质性,但没有足够的证据表明疗效是否会因疫苗类型、接种个体的年龄以及两剂间隔时间而有所不同(所有 p 值均>0.05)。完全接种疫苗后,针对有症状感染的疫苗疗效随时间逐渐减弱,平均每月下降 13.6%(95%CI 5.5-22.3;p=0.0007),但加强针可增强疗效。我们发现每种抗体与预防有症状和严重感染的疗效之间存在显著的非线性关系(所有 p 值均<0.0001),但疗效仍存在较大异质性,不能用抗体浓度来解释。大多数研究的偏倚风险较低。
SARS-CoV-2 疫苗预防严重感染和死亡的疗效高于预防轻度感染。疫苗疗效随时间减弱,但加强针可增强疗效。较高的抗体滴度与较高的疗效估计相关,但由于存在较大的无法解释的异质性,因此难以进行准确预测。这些发现为解释和应用未来关于这些问题的研究提供了重要的知识库。
深圳市科技计划项目。