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Davies HG, Thorley EV, Al-Bahadili R, Sutton N, Burt J, Hookham L, Karampatsas K, Lambach P, Muñoz F, Cutland CL, Omer S, Le Doare K. Defining and reporting adverse events of special interest in comparative maternal vaccine studies: a systematic review. Vaccine X 2024; 18:100464. [PMID: 38495929 PMCID: PMC10943481 DOI: 10.1016/j.jvacx.2024.100464] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2023] [Revised: 02/07/2024] [Accepted: 02/18/2024] [Indexed: 03/19/2024] Open
Abstract
Introduction The GAIA (Global Alignment on Immunisation Safety Assessment in Pregnancy) consortium was established in 2014 with the aim of creating a standardised, globally coordinated approach to monitoring the safety of vaccines administered in pregnancy. The consortium developed twenty-six standardised definitions for classifying obstetric and infant adverse events. This systematic review sought to evaluate the current state of adverse event reporting in maternal vaccine trials following the publication of the case definitions by GAIA, and the extent to which these case definitions have been adopted in maternal vaccine safety research. Methods A comprehensive search of published literature was undertaken to identify maternal vaccine research studies. PubMed, EMBASE, Web of Science, and Cochrane were searched using a combination of MeSH terms and keyword searches to identify observational or interventional studies that examined vaccine safety in pregnant women with a comparator group. A two-reviewer screening process was undertaken, and a narrative synthesis of the results presented. Results 14,737 titles were identified from database searches, 435 titles were selected as potentially relevant, 256 were excluded, the remaining 116 papers were included. Influenza vaccine was the most studied (25.0%), followed by TDaP (20.7%) and SARS-CoV-2 (12.9%).Ninety-one studies (78.4%) were conducted in high-income settings. Forty-eight (41.4%) utilised electronic health-records. The majority focused on reporting adverse events of special interest (AESI) in pregnancy (65.0%) alone or in addition to reactogenicity (27.6%). The most frequently reported AESI were preterm birth, small for gestational age and hypertensive disorders. Fewer than 10 studies reported use of GAIA definitions. Gestational age assessment was poorly described; of 39 studies reporting stillbirths 30.8% provided no description of the gestational age threshold. Conclusions Low-income settings remain under-represented in comparative maternal vaccine safety research. There has been poor uptake of GAIA case definitions. A lack of harmonisation and standardisation persists limiting comparability of the generated safety data.
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Affiliation(s)
- Hannah G Davies
- Centre for Neonatal and Paediatric Infection, Institute of Infection & Immunity, St George’s, University of London, Cranmer Terrace, Tooting, London, United Kingdom
- MRC, UVRI & LSHTM Uganda Research Centre, Entebbe, Uganda
- Makerere University John Hopkins Research Unit, Kampala, Uganda
| | - Emma V Thorley
- Centre for Neonatal and Paediatric Infection, Institute of Infection & Immunity, St George’s, University of London, Cranmer Terrace, Tooting, London, United Kingdom
| | - Rossul Al-Bahadili
- Centre for Neonatal and Paediatric Infection, Institute of Infection & Immunity, St George’s, University of London, Cranmer Terrace, Tooting, London, United Kingdom
| | - Natalina Sutton
- Centre for Neonatal and Paediatric Infection, Institute of Infection & Immunity, St George’s, University of London, Cranmer Terrace, Tooting, London, United Kingdom
| | - Jessica Burt
- Centre for Neonatal and Paediatric Infection, Institute of Infection & Immunity, St George’s, University of London, Cranmer Terrace, Tooting, London, United Kingdom
| | - Lauren Hookham
- Centre for Neonatal and Paediatric Infection, Institute of Infection & Immunity, St George’s, University of London, Cranmer Terrace, Tooting, London, United Kingdom
| | - Kostas Karampatsas
- Centre for Neonatal and Paediatric Infection, Institute of Infection & Immunity, St George’s, University of London, Cranmer Terrace, Tooting, London, United Kingdom
| | | | - Flor Muñoz
- Paediatric Infectious Diseases Department, Baylor College of Medicine, Houston, TX, USA
| | - Clare L Cutland
- Wits African Leadership in Vaccinology Expertise (Wits-Alive), School of Pathology, Faculty of Health Science, University of the Witwatersrand, Johannesburg, South Africa
| | - Saad Omer
- O’Donnell School of Public Health, UT Southwestern Medical Center, Texas, USA
| | - Kirsty Le Doare
- Centre for Neonatal and Paediatric Infection, Institute of Infection & Immunity, St George’s, University of London, Cranmer Terrace, Tooting, London, United Kingdom
- Makerere University John Hopkins Research Unit, Kampala, Uganda
- World Health Organization, Geneva, Switzerland
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Wolfe DM, Fell D, Garritty C, Hamel C, Butler C, Hersi M, Ahmadzai N, Rice DB, Esmaeilisaraji L, Michaud A, Soobiah C, Ghassemi M, Khan PA, Sinilaite A, Skidmore B, Tricco AC, Moher D, Hutton B. Safety of influenza vaccination during pregnancy: a systematic review. BMJ Open 2023; 13:e066182. [PMID: 37673449 PMCID: PMC10496691 DOI: 10.1136/bmjopen-2022-066182] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/10/2022] [Accepted: 08/18/2023] [Indexed: 09/08/2023] Open
Abstract
OBJECTIVE We conducted a systematic review to evaluate associations between influenza vaccination during pregnancy and adverse birth outcomes and maternal non-obstetric serious adverse events (SAEs), taking into consideration confounding and temporal biases. METHODS Electronic databases (Ovid MEDLINE ALL, Embase Classic+Embase and the Cochrane Central Register of Controlled Trials) were searched to June 2021 for observational studies assessing associations between influenza vaccination during pregnancy and maternal non-obstetric SAEs and adverse birth outcomes, including preterm birth, spontaneous abortion, stillbirth, small-for-gestational-age birth and congenital anomalies. Studies of live attenuated vaccines, single-arm cohort studies and abstract-only publications were excluded. Records were screened using a liberal accelerated approach initially, followed by a dual independent approach for full-text screening, data extraction and risk of bias assessment. Pairwise meta-analyses were conducted, where two or more studies met methodological criteria for inclusion. The Grading of Recommendations, Assessment, Development and Evaluation approach was used to assess evidence certainty. RESULTS Of 9443 records screened, 63 studies were included. Twenty-nine studies (24 cohort and 5 case-control) evaluated seasonal influenza vaccination (trivalent and/or quadrivalent) versus no vaccination and were the focus of our prioritised syntheses; 34 studies of pandemic vaccines (2009 A/H1N1 and others), combinations of pandemic and seasonal vaccines, and seasonal versus seasonal vaccines were also reviewed. Control for confounding and temporal biases was inconsistent across studies, limiting pooling of data. Meta-analyses for preterm birth, spontaneous abortion and small-for-gestational-age birth demonstrated no significant associations with seasonal influenza vaccination. Immortal time bias was observed in a sensitivity analysis of meta-analysing risk-based preterm birth data. In descriptive summaries for stillbirth, congenital anomalies and maternal non-obstetric SAEs, no significant association with increased risk was found in any studies. All evidence was of very low certainty. CONCLUSIONS Evidence of very low certainty suggests that seasonal influenza vaccination during pregnancy is not associated with adverse birth outcomes or maternal non-obstetric SAEs. Appropriate control of confounding and temporal biases in future studies would improve the evidence base.
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Affiliation(s)
- Dianna M Wolfe
- Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, Ontario, Canada
| | - Deshayne Fell
- School of Epidemiology and Public Health, University of Ottawa, Ottawa, Ontario, Canada
| | - Chantelle Garritty
- Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, Ontario, Canada
| | - Candyce Hamel
- Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, Ontario, Canada
| | - Claire Butler
- Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, Ontario, Canada
| | - Mona Hersi
- Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, Ontario, Canada
| | - Nadera Ahmadzai
- Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, Ontario, Canada
| | - Danielle B Rice
- Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, Ontario, Canada
- Psychiatry, Lady Davis Institute, Jewish General Hospital, Montreal, Quebec, Canada
- Psychology, McGill University, Montreal, Quebec, Canada
| | - Leila Esmaeilisaraji
- Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, Ontario, Canada
| | - Alan Michaud
- Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, Ontario, Canada
| | - Charlene Soobiah
- Institute of Health Policy Management and Evaluation, University of Toronto, Toronto, Ontario, Canada
- Li Ka Shing Knowledge Institute, St Michael's Hospital, Toronto, Ontario, Canada
| | - Marco Ghassemi
- Li Ka Shing Knowledge Institute, St Michael's Hospital, Toronto, Ontario, Canada
| | - Paul A Khan
- Li Ka Shing Knowledge Institute, St Michael's Hospital, Toronto, Ontario, Canada
| | - Angela Sinilaite
- Centre for Immunization Readiness, Public Health Agency of Canada, Ottawa, Ontario, Canada
| | - Becky Skidmore
- Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, Ontario, Canada
| | - Andrea C Tricco
- School of Epidemiology and Public Health, University of Ottawa, Ottawa, Ontario, Canada
- Li Ka Shing Knowledge Institute, St Michael's Hospital, Toronto, Ontario, Canada
- Epidemiology Division & Institute of Health Policy, Management, and Evaluation, Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
| | - David Moher
- Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, Ontario, Canada
- School of Epidemiology and Public Health, University of Ottawa, Ottawa, Ontario, Canada
| | - Brian Hutton
- Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, Ontario, Canada
- School of Epidemiology and Public Health, University of Ottawa, Ottawa, Ontario, Canada
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Immunological Changes in Pregnancy and Its Relation to COVID-19 Infection. COVID-19 INFECTIONS AND PREGNANCY 2021. [PMCID: PMC8298321 DOI: 10.1016/b978-0-323-90595-4.00006-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
This chapter describes the immunological adaptation to pregnancy. A special focus is drawn on the susceptibility to viral infections, especially COVID-19. Older literature refers to the pregnancy as an immunosuppressive state, while recent studies show an immunomodulation to adapt to the growing semiallograftic fetus. Despite this, pregnant women are not susceptible to all viral infections. Regarding influenza, pregnant women are not more susceptible to the infection, but more severe maternal courses. To prevent this, influenza vaccination is recommended for pregnant women. Based on the available evidence, pregnant patients are also not more susceptible to infection with regard to COVID-19 infection. Yet, more severe courses are described throughout gestation with the onset of obstetrical complications.
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