• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

一项贝叶斯网络分析,量化辉瑞新冠疫苗在澳大利亚的风险与益处。

A Bayesian network analysis quantifying risks versus benefits of the Pfizer COVID-19 vaccine in Australia.

作者信息

Sinclair Jane E, Mayfield Helen J, Short Kirsty R, Brown Samuel J, Puranik Rajesh, Mengersen Kerrie, Litt John C B, Lau Colleen L

机构信息

School of Chemistry and Molecular Biosciences, Faculty of Science, The University of Queensland, Brisbane, QLD, Australia.

School of Public Health, Faculty of Medicine, The University of Queensland, Brisbane, QLD, Australia.

出版信息

NPJ Vaccines. 2022 Aug 11;7(1):93. doi: 10.1038/s41541-022-00517-6.

DOI:10.1038/s41541-022-00517-6
PMID:35953502
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9371378/
Abstract

The Pfizer COVID-19 vaccine is associated with increased myocarditis incidence. Constantly evolving evidence regarding incidence and case fatality of COVID-19 and myocarditis related to infection or vaccination, creates challenges for risk-benefit analysis of vaccination. Challenges are complicated further by emerging evidence of waning vaccine effectiveness, and variable effectiveness against variants. Here, we build on previous work on the COVID-19 Risk Calculator (CoRiCal) by integrating Australian and international data to inform a Bayesian network that calculates probabilities of outcomes for the delta variant under different scenarios of Pfizer COVID-19 vaccine coverage, age groups (≥12 years), sex, community transmission intensity and vaccine effectiveness. The model estimates that in a population where 5% were unvaccinated, 5% had one dose, 60% had two doses and 30% had three doses, there was a substantially greater probability of developing (239-5847 times) and dying (1430-384,684 times) from COVID-19-related than vaccine-associated myocarditis (depending on age and sex). For one million people with this vaccine coverage, where transmission intensity was equivalent to 10% chance of infection over 2 months, 68,813 symptomatic COVID-19 cases and 981 deaths would be prevented, with 42 and 16 expected cases of vaccine-associated myocarditis in males and females, respectively. These results justify vaccination in all age groups as vaccine-associated myocarditis is generally mild in the young, and there is unequivocal evidence for reduced mortality from COVID-19 in older individuals. The model may be updated to include emerging best evidence, data pertinent to different countries or vaccines and other outcomes such as long COVID.

摘要

辉瑞新冠疫苗与心肌炎发病率增加有关。关于新冠病毒感染及与感染或疫苗接种相关的心肌炎的发病率和病死率的证据不断演变,给疫苗接种的风险效益分析带来了挑战。疫苗效力减弱的新证据以及针对变异毒株的效力差异,使这些挑战更加复杂。在此,我们在之前关于新冠风险计算器(CoRiCal)的工作基础上,整合澳大利亚和国际数据,构建一个贝叶斯网络,以计算在辉瑞新冠疫苗不同接种覆盖率、年龄组(≥12岁)、性别、社区传播强度和疫苗效力的不同情况下,德尔塔变异毒株感染的各种结果的概率。该模型估计,在一个5%未接种疫苗、5%接种一剂、60%接种两剂、30%接种三剂的人群中,因新冠相关疾病而发病(239 - 5847倍)和死亡(1430 - 384,684倍)的可能性远高于疫苗相关心肌炎(取决于年龄和性别)。对于一百万具有这种疫苗接种覆盖率的人群,在传播强度相当于2个月内感染几率为10%的情况下,可预防68,813例有症状的新冠病例和981例死亡,男性和女性中分别预计有42例和16例疫苗相关心肌炎病例。这些结果证明在所有年龄组进行疫苗接种是合理的,因为疫苗相关心肌炎在年轻人中通常症状较轻,而且有明确证据表明老年人因新冠病毒感染导致的死亡率降低。该模型可进行更新,以纳入新出现的最佳证据、与不同国家或疫苗相关的数据以及其他结果,如长期新冠症状。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b35f/9372046/47c6720f0f85/41541_2022_517_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b35f/9372046/0cde6f06d354/41541_2022_517_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b35f/9372046/f8aad7a84a09/41541_2022_517_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b35f/9372046/6f839a4e4171/41541_2022_517_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b35f/9372046/ffe73363ff31/41541_2022_517_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b35f/9372046/47c6720f0f85/41541_2022_517_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b35f/9372046/0cde6f06d354/41541_2022_517_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b35f/9372046/f8aad7a84a09/41541_2022_517_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b35f/9372046/6f839a4e4171/41541_2022_517_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b35f/9372046/ffe73363ff31/41541_2022_517_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b35f/9372046/47c6720f0f85/41541_2022_517_Fig5_HTML.jpg

相似文献

1
A Bayesian network analysis quantifying risks versus benefits of the Pfizer COVID-19 vaccine in Australia.一项贝叶斯网络分析,量化辉瑞新冠疫苗在澳大利亚的风险与益处。
NPJ Vaccines. 2022 Aug 11;7(1):93. doi: 10.1038/s41541-022-00517-6.
2
Risk-benefit analysis of the AstraZeneca COVID-19 vaccine in Australia using a Bayesian network modelling framework.使用贝叶斯网络建模框架对澳大利亚阿斯利康 COVID-19 疫苗的风险-效益分析。
Vaccine. 2021 Dec 17;39(51):7429-7440. doi: 10.1016/j.vaccine.2021.10.079. Epub 2021 Nov 4.
3
Incidence, risk factors, natural history, and hypothesised mechanisms of myocarditis and pericarditis following covid-19 vaccination: living evidence syntheses and review.新型冠状病毒肺炎(COVID-19)疫苗接种后心肌炎和心包炎的发生率、危险因素、自然史和假设发病机制:基于实时证据的综合分析和综述。
BMJ. 2022 Jul 13;378:e069445. doi: 10.1136/bmj-2021-069445.
4
Myocarditis Cases Reported After mRNA-Based COVID-19 Vaccination in the US From December 2020 to August 2021.美国 2020 年 12 月至 2021 年 8 月报告的基于 mRNA 的 COVID-19 疫苗接种后心肌炎病例。
JAMA. 2022 Jan 25;327(4):331-340. doi: 10.1001/jama.2021.24110.
5
Benefit-risk assessment of Covid-19 vaccine, MRNA (MRNA-1273) for males age 18-64 years.18至64岁男性使用新冠病毒mRNA疫苗(mRNA-1273)的获益-风险评估。
Vaccine X. 2023 Aug;14:100325. doi: 10.1016/j.jvacx.2023.100325. Epub 2023 Jun 2.
6
The Effectiveness of Pfizer-BioNTech and Oxford-AstraZeneca Vaccines to Prevent Severe COVID-19 in Costa Rica: Nationwide, Ecological Study of Hospitalization Prevalence.辉瑞-生物科技和牛津-阿斯利康疫苗在哥斯达黎加预防重症 COVID-19 的有效性:全国范围内,住院率的生态学研究。
JMIR Public Health Surveill. 2022 May 20;8(5):e35054. doi: 10.2196/35054.
7
Association Between 3 Doses of mRNA COVID-19 Vaccine and Symptomatic Infection Caused by the SARS-CoV-2 Omicron and Delta Variants.mRNA COVID-19 疫苗 3 剂接种与 SARS-CoV-2 奥密克戎和德尔塔变异株引起的有症状感染之间的关联。
JAMA. 2022 Feb 15;327(7):639-651. doi: 10.1001/jama.2022.0470.
8
Post-vaccination outcomes in association with four COVID-19 vaccines in the Kingdom of Bahrain.巴林王国四种 COVID-19 疫苗接种后的结果。
Sci Rep. 2022 Jun 2;12(1):9236. doi: 10.1038/s41598-022-12543-4.
9
Designing an evidence-based Bayesian network for estimating the risk versus benefits of AstraZeneca COVID-19 vaccine.设计一个基于证据的贝叶斯网络来估计阿斯利康 COVID-19 疫苗的风险与收益。
Vaccine. 2022 May 11;40(22):3072-3084. doi: 10.1016/j.vaccine.2022.04.004. Epub 2022 Apr 8.
10
Use of mRNA COVID-19 Vaccine After Reports of Myocarditis Among Vaccine Recipients: Update from the Advisory Committee on Immunization Practices - United States, June 2021.mRNA COVID-19 疫苗接种后出现心肌炎报告:免疫实践咨询委员会更新-美国,2021 年 6 月。
MMWR Morb Mortal Wkly Rep. 2021 Jul 9;70(27):977-982. doi: 10.15585/mmwr.mm7027e2.

引用本文的文献

1
A Bayesian network analysis of the Pfizer COVID-19 vaccine in the paediatric population.针对儿科人群的辉瑞新冠疫苗的贝叶斯网络分析。
NPJ Vaccines. 2025 Jul 29;10(1):174. doi: 10.1038/s41541-025-01237-3.
2
Quantitative Benefit-Risk Assessment of Vaccination Against COVID-19: A Systematic Review.2019年冠状病毒病疫苗接种的定量效益-风险评估:一项系统评价
Pharmacoepidemiol Drug Saf. 2025 Feb;34(2):e70099. doi: 10.1002/pds.70099.
3
Predictive modelling of the effectiveness of vaccines against COVID-19 in Bogotá: Methodological innovation involving different variants and computational optimisation efficiency.

本文引用的文献

1
Characterising the background incidence rates of adverse events of special interest for covid-19 vaccines in eight countries: multinational network cohort study.描述 8 个国家/地区新冠病毒疫苗特殊关注不良事件的背景发生率:跨国网络队列研究。
BMJ. 2021 Jun 14;373:n1435. doi: 10.1136/bmj.n1435.
2
Designing an evidence-based Bayesian network for estimating the risk versus benefits of AstraZeneca COVID-19 vaccine.设计一个基于证据的贝叶斯网络来估计阿斯利康 COVID-19 疫苗的风险与收益。
Vaccine. 2022 May 11;40(22):3072-3084. doi: 10.1016/j.vaccine.2022.04.004. Epub 2022 Apr 8.
3
Effectiveness of COVID-19 vaccines against symptomatic SARS-CoV-2 infection and severe outcomes with variants of concern in Ontario.
波哥大针对新冠病毒疫苗有效性的预测建模:涉及不同变体和计算优化效率的方法创新
Heliyon. 2024 Oct 23;10(21):e39725. doi: 10.1016/j.heliyon.2024.e39725. eCollection 2024 Nov 15.
4
Effectiveness of the BNT162b2 vaccine in preventing morbidity and mortality associated with COVID-19 in children aged 5 to 11 years: A systematic review and meta-analysis.BNT162b2疫苗在预防5至11岁儿童COVID-19相关发病和死亡中的有效性:一项系统评价和荟萃分析。
PLOS Glob Public Health. 2023 Dec 4;3(12):e0002676. doi: 10.1371/journal.pgph.0002676. eCollection 2023.
5
Predictive factors of ergonomic behaviors based on social cognitive theory among women workers on assembly lines: application of Bayesian networks.基于社会认知理论的装配线女工工效学行为预测因素:贝叶斯网络的应用。
BMC Musculoskelet Disord. 2023 Nov 30;24(1):924. doi: 10.1186/s12891-023-07021-5.
6
Being Bayesian in the 2020s: opportunities and challenges in the practice of modern applied Bayesian statistics.21 世纪的贝叶斯主义者:现代应用贝叶斯统计学实践中的机遇与挑战。
Philos Trans A Math Phys Eng Sci. 2023 May 15;381(2247):20220156. doi: 10.1098/rsta.2022.0156. Epub 2023 Mar 27.
7
Primary and booster vaccination in reducing severe clinical outcomes associated with Omicron Naïve infection.基础免疫和加强免疫可降低奥密克戎初免感染相关的严重临床结局。
J Infect Public Health. 2023 Jan;16(1):55-63. doi: 10.1016/j.jiph.2022.11.028. Epub 2022 Nov 30.
8
Designing an evidence-based Bayesian network for estimating the risk versus benefits of AstraZeneca COVID-19 vaccine.设计一个基于证据的贝叶斯网络来估计阿斯利康 COVID-19 疫苗的风险与收益。
Vaccine. 2022 May 11;40(22):3072-3084. doi: 10.1016/j.vaccine.2022.04.004. Epub 2022 Apr 8.
安大略省针对 COVID-19 疫苗对有症状的 SARS-CoV-2 感染和关注变种的严重后果的有效性。
Nat Microbiol. 2022 Mar;7(3):379-385. doi: 10.1038/s41564-021-01053-0. Epub 2022 Feb 7.
4
Myocarditis Cases Reported After mRNA-Based COVID-19 Vaccination in the US From December 2020 to August 2021.美国 2020 年 12 月至 2021 年 8 月报告的基于 mRNA 的 COVID-19 疫苗接种后心肌炎病例。
JAMA. 2022 Jan 25;327(4):331-340. doi: 10.1001/jama.2021.24110.
5
Duration of Protection against Mild and Severe Disease by Covid-19 Vaccines.新冠病毒疫苗对轻症和重症疾病的保护持续时间。
N Engl J Med. 2022 Jan 27;386(4):340-350. doi: 10.1056/NEJMoa2115481. Epub 2022 Jan 12.
6
Models of COVID-19 vaccine prioritisation: a systematic literature search and narrative review.COVID-19 疫苗优先排序模型:系统文献检索和叙述性综述。
BMC Med. 2021 Dec 1;19(1):318. doi: 10.1186/s12916-021-02190-3.
7
Risk-benefit analysis of the AstraZeneca COVID-19 vaccine in Australia using a Bayesian network modelling framework.使用贝叶斯网络建模框架对澳大利亚阿斯利康 COVID-19 疫苗的风险-效益分析。
Vaccine. 2021 Dec 17;39(51):7429-7440. doi: 10.1016/j.vaccine.2021.10.079. Epub 2021 Nov 4.
8
Effectiveness of mRNA BNT162b2 COVID-19 vaccine up to 6 months in a large integrated health system in the USA: a retrospective cohort study.辉瑞-BioNTech 信使核糖核酸 COVID-19 疫苗在美国大型综合卫生系统中的 6 个月有效性:一项回顾性队列研究。
Lancet. 2021 Oct 16;398(10309):1407-1416. doi: 10.1016/S0140-6736(21)02183-8. Epub 2021 Oct 4.
9
Myocarditis after BNT162b2 mRNA Vaccine against Covid-19 in Israel.以色列接种 BNT162b2 mRNA 疫苗后出现心肌炎。
N Engl J Med. 2021 Dec 2;385(23):2140-2149. doi: 10.1056/NEJMoa2109730. Epub 2021 Oct 6.
10
Prevalence and clinical outcomes of myocarditis and pericarditis in 718,365 COVID-19 patients.718365 例 COVID-19 患者中心肌炎和心包炎的患病率及临床结局。
Eur J Clin Invest. 2021 Nov;51(11):e13679. doi: 10.1111/eci.13679. Epub 2021 Sep 18.