Empowering African Expertise: Enhancing Safety Data Integration and Signal Detection for COVID-19 Vaccines Through the African Union Smart Safety Surveillance Joint Signal Management Group.

IF 3.8 2区 医学 Q1 PHARMACOLOGY & PHARMACY Drug Safety Pub Date : 2025-03-01 Epub Date: 2025-01-22 DOI:10.1007/s40264-024-01493-7
Victoria Prudence Nambasa, Hannah May Gunter, Modupe Bamidele Adeyemo, Neetesh Yanish Bhawaneedin, Marc Blockman, George Tsey Sabblah, John Owusu Gyapong, Eric Muriithi Guantai, Tamrat Abebe, Workeabeba Abebe, Henry Jeremy Lawson, Mercedes Chawada Leburu, Abdullahi Mohammed, Kwame Amponsa-Achiano, Mafora Florah Matlala, Uchenna Geraldine Elemuwa, Hudu Mogtari, Alexander Kwadwo Nyarko, Marione Schönfeldt, Mercy Kamupira, Kerrigan McCarthy, Yohannes Lakew Tefera, Asnakech Alemu, Kabir Mawashi Yusuf, Obi Emelife, Ladji Sidibe, Kudakwashe Dandajena, Kenneth Onu, Mojisola Christianah Adeyeye, Delese Mimi Darko, Heran Gerba, Boitumelo Semete, Fred Siyoi, Aggrey Ambali, Johanna Catharina Meyer
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Abstract

Introduction: The COVID-19 pandemic accelerated new vaccine development. Limited safety data necessitated robust global safety surveillance to accurately identify and promptly communicate potential safety issues. The African Union Smart Safety Surveillance (AU-3S) program established the Joint Signal Management (JSM) group to support identification of potential vaccine safety concerns in five pilot countries (Ethiopia, Ghana, Kenya, Nigeria, South Africa), accounting for approximately 35% of the African population.

Objective: Our objective was to provide an overview of the JSM group's role in supporting signal management activities for the AU-3S program during the COVID-19 pandemic.

Methods: Spontaneous, electronically reported COVID-19 vaccine adverse events following immunization (AEFI) from each country's safety data were integrated into the interim Data Integration and Signal Detection system. Statistical disproportionality methods were used to identify and review vaccine-event combinations (VECs) for potential safety concerns. The JSM group-which comprised pharmacovigilance and subject matter experts from National Medicine Regulatory Authorities, Expanded Programs on Immunization, and vaccine safety committees-conducted signal detection activities on cross-country safety data and provided recommendations.

Results: From April 2021 to December 2023, a total of 48,294 spontaneously reported AEFI were analyzed for six COVID-19 vaccines (NRVV Ad [ChAdOx1 nCoV-19]; Ad26.COV2.S; Elasomeran; Tozinameran; Covid-19 vaccine [Vero Cell], Inactivated; NRVV Ad26 [Gam-Covid-Vac]) administered in Ethiopia (34.6%), Nigeria (30.3%), South Africa (16.9%), Ghana (13.5%), and Kenya (4.7%). Overall, 2,742 VECs were validated. A causal association between the COVID-19 vaccines and the reported AEFI cannot be inferred, as data were reported spontaneously. JSM group recommendations included monitoring for further evidence, no immediate action required, engaging marketing authorization holder(s) for additional information, or sensitizing healthcare providers and/or the public about events. Although no new safety signals were identified, nine safety-related recommendations were issued, including patient and healthcare provider education.

Conclusions: The JSM group established a scalable and replicable model for future signal management of other priority health products in low- and middle-income countries, fostering ongoing collaboration and capacity building. Knowledge and experience gained from this pilot initiative will guide stakeholders in future safety surveillance initiatives within the African continent.

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增强非洲专业知识:通过非洲联盟智能安全监测联合信号管理小组加强COVID-19疫苗的安全数据整合和信号检测。
导言:COVID-19大流行加速了新疫苗的开发。有限的安全数据需要强大的全球安全监测,以准确识别和及时沟通潜在的安全问题。非洲联盟智能安全监测(AU-3S)计划建立了联合信号管理(JSM)小组,以支持在五个试点国家(埃塞俄比亚、加纳、肯尼亚、尼日利亚和南非)确定潜在的疫苗安全问题,这些国家约占非洲人口的35%。目的:我们的目标是概述JSM小组在支持AU-3S计划在2019冠状病毒病大流行期间的信号管理活动中的作用。方法:将来自各国安全数据的自发电子报告的COVID-19疫苗免疫后不良事件(AEFI)整合到临时数据整合和信号检测系统中。统计歧化方法用于识别和审查疫苗-事件组合(VECs)的潜在安全性问题。JSM小组由来自国家药品监管机构、扩大免疫规划和疫苗安全委员会的药物警戒和主题专家组成,对跨国安全数据进行信号检测活动并提出建议。结果:从2021年4月至2023年12月,共分析了6种COVID-19疫苗(NRVV Ad [ChAdOx1 nCoV-19];Ad26.COV2.S;Elasomeran;Tozinameran;Covid-19灭活疫苗[Vero Cell];在埃塞俄比亚(34.6%)、尼日利亚(30.3%)、南非(16.9%)、加纳(13.5%)和肯尼亚(4.7%)使用NRVV Ad26 [Gam-Covid-Vac]。总共验证了2742例vec。由于数据是自发报告的,因此无法推断COVID-19疫苗与报告的AEFI之间是否存在因果关系。JSM小组的建议包括监测进一步的证据、不需要立即采取行动、让营销授权持有人提供更多信息、或让医疗保健提供者和/或公众了解事件。虽然没有发现新的安全信号,但发布了九项与安全相关的建议,包括对患者和医疗保健提供者的教育。结论:JSM小组为低收入和中等收入国家其他重点卫生产品的未来信号管理建立了一个可扩展和可复制的模式,促进了持续的合作和能力建设。从这一试点行动中获得的知识和经验将指导利益攸关方在非洲大陆开展未来的安全监测行动。
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来源期刊
Drug Safety
Drug Safety 医学-毒理学
CiteScore
7.60
自引率
7.10%
发文量
112
审稿时长
6-12 weeks
期刊介绍: Drug Safety is the official journal of the International Society of Pharmacovigilance. The journal includes: Overviews of contentious or emerging issues. Comprehensive narrative reviews that provide an authoritative source of information on epidemiology, clinical features, prevention and management of adverse effects of individual drugs and drug classes. In-depth benefit-risk assessment of adverse effect and efficacy data for a drug in a defined therapeutic area. Systematic reviews (with or without meta-analyses) that collate empirical evidence to answer a specific research question, using explicit, systematic methods as outlined by the PRISMA statement. Original research articles reporting the results of well-designed studies in disciplines such as pharmacoepidemiology, pharmacovigilance, pharmacology and toxicology, and pharmacogenomics. Editorials and commentaries on topical issues. Additional digital features (including animated abstracts, video abstracts, slide decks, audio slides, instructional videos, infographics, podcasts and animations) can be published with articles; these are designed to increase the visibility, readership and educational value of the journal’s content. In addition, articles published in Drug Safety Drugs may be accompanied by plain language summaries to assist readers who have some knowledge of, but not in-depth expertise in, the area to understand important medical advances.
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