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Russell CA, Fouchier RAM, Ghaswalla P, Park Y, Vicic N, Ananworanich J, Nachbagauer R, Rudin D. Seasonal influenza vaccine performance and the potential benefits of mRNA vaccines. Hum Vaccin Immunother 2024; 20:2336357. [PMID: 38619079 PMCID: PMC11020595 DOI: 10.1080/21645515.2024.2336357] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2023] [Accepted: 03/26/2024] [Indexed: 04/16/2024] Open
Abstract
Influenza remains a public health threat, partly due to suboptimal effectiveness of vaccines. One factor impacting vaccine effectiveness is strain mismatch, occurring when vaccines no longer match circulating strains due to antigenic drift or the incorporation of inadvertent (eg, egg-adaptive) mutations during vaccine manufacturing. In this review, we summarize the evidence for antigenic drift of circulating viruses and/or egg-adaptive mutations occurring in vaccine strains during the 2011-2020 influenza seasons. Evidence suggests that antigenic drift led to vaccine mismatch during four seasons and that egg-adaptive mutations caused vaccine mismatch during six seasons. These findings highlight the need for alternative vaccine development platforms. Recently, vaccines based on mRNA technology have demonstrated efficacy against SARS-CoV-2 and respiratory syncytial virus and are under clinical evaluation for seasonal influenza. We discuss the potential for mRNA vaccines to address strain mismatch, as well as new multi-component strategies using the mRNA platform to improve vaccine effectiveness.
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Affiliation(s)
- Colin A. Russell
- Department of Medical Microbiology & Infection Prevention, Amsterdam University Medical Center, University of Amsterdam, Amsterdam, the Netherlands
| | - Ron A. M. Fouchier
- Department of Viroscience, Erasmus Medical Center, Rotterdam, the Netherlands
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Maurel M, Mazagatos C, Goerlitz L, Oroszi B, Hooiveld M, Machado A, Domegan L, Ilić M, Popescu R, Sève N, Martínez-Baz I, Larrauri A, Buda S, Túri G, Meijer A, Gomez V, O'Donnell J, Mlinarić I, Timnea O, Diez AO, Dürrwald R, Horváth JK, Dijkstra F, Rodrigues AP, McKenna A, Filipović SK, Lazar M, Kaczmarek M, Bacci S, Kissling E. Exploring the effect of clinical case definitions on influenza vaccine effectiveness estimation at primary care level: Results from the end-of-season 2022-23 VEBIS multicentre study in Europe. Vaccine 2024; 42:3547-3554. [PMID: 38704257 PMCID: PMC11152456 DOI: 10.1016/j.vaccine.2024.04.060] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2023] [Revised: 04/03/2024] [Accepted: 04/21/2024] [Indexed: 05/06/2024]
Abstract
BACKGROUND Within influenza vaccine effectiveness (VE) studies at primary care level with a laboratory-confirmed outcome, clinical case definitions for recruitment of patients can vary. We used the 2022-23 VEBIS primary care European multicentre study end-of-season data to evaluate whether the clinical case definition affected IVE estimates. METHODS We estimated VE using a multicentre test-negative case-control design. We measured VE against any influenza and influenza (sub)types, by age group (0-14, 15-64, ≥65 years) and by influenza vaccine target group, using logistic regression. We estimated IVE among patients meeting the European Union (EU) acute respiratory infection (ARI) case definition and among those meeting the EU influenza-like illness (ILI) case definition, including only sites providing information on specific symptoms and recruiting patients using an ARI case definition (as the EU ILI case definition is a subset of the EU ARI one). RESULTS We included 24 319 patients meeting the EU ARI case definition, of whom 21 804 patients (90 %) meet the EU ILI case definition, for the overall pooled VE analysis against any influenza. The overall and influenza (sub)type-specific VE varied by ≤2 % between EU ILI and EU ARI populations. DISCUSSION Among all analyses, we found similar VE estimates between the EU ILI and EU ARI populations, with few (10%) additional non-ILI ARI patients recruited. These results indicate that VE in the 2022-23 influenza season was not affected by use of a different clinical case definition for recruitment, although we recommend investigating whether this holds true for next seasons.
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Affiliation(s)
| | - Clara Mazagatos
- National Centre of Epidemiology, CIBERESP, Carlos III Health Institute, Madrid, Spain
| | - Luise Goerlitz
- Department for Infectious Disease Epidemiology, Respiratory Infections Unit, Robert Koch Institute, Berlin, Germany
| | - Beatrix Oroszi
- National Laboratory for Health Security, Epidemiology and Surveillance Centre, Semmelweis University, Budapest, Hungary
| | | | - Ausenda Machado
- Instituto Nacional de Saúde Dr. Ricardo Jorge, Lisbon, Portugal
| | - Lisa Domegan
- HSE-Health Protection Surveillance Centre, Dublin, Ireland
| | - Maja Ilić
- Croatian Institute of Public Health, Zagreb, Croatia
| | | | - Noémie Sève
- Sorbonne Université, INSERM, Institut Pierre Louis d'épidémiologie et de Santé Publique (IPLESP UMRS 1136), Paris, France
| | | | - Amparo Larrauri
- National Centre of Epidemiology, CIBERESP, Carlos III Health Institute, Madrid, Spain
| | - Silke Buda
- Department for Infectious Disease Epidemiology, Respiratory Infections Unit, Robert Koch Institute, Berlin, Germany
| | - Gergő Túri
- National Laboratory for Health Security, Epidemiology and Surveillance Centre, Semmelweis University, Budapest, Hungary
| | - Adam Meijer
- National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands
| | - Verónica Gomez
- Instituto Nacional de Saúde Dr. Ricardo Jorge, Lisbon, Portugal
| | - Joan O'Donnell
- HSE-Health Protection Surveillance Centre, Dublin, Ireland
| | - Ivan Mlinarić
- Croatian Institute of Public Health, Zagreb, Croatia
| | - Olivia Timnea
- "Cantacuzino" National Military Medical Institute for Research and Development, Bucharest, Romania
| | - Ana Ordax Diez
- Instituto de Estudios de Ciencias de la Salud de Castilla y León (IECSCYL). Consejería de Sanidad. Junta de Castilla y León, Valladolid, Spain
| | - Ralf Dürrwald
- National Reference Centre for Influenza, Robert Koch Institute, Berlin, Germany
| | - Judit Krisztina Horváth
- National Laboratory for Health Security, Epidemiology and Surveillance Centre, Semmelweis University, Budapest, Hungary
| | - Frederika Dijkstra
- National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands
| | | | - Adele McKenna
- HSE-Health Protection Surveillance Centre, Dublin, Ireland
| | | | - Mihaela Lazar
- "Cantacuzino" National Military Medical Institute for Research and Development, Bucharest, Romania
| | - Marlena Kaczmarek
- European Centre for Disease Prevention and Control, Stockholm, Sweden
| | - Sabrina Bacci
- European Centre for Disease Prevention and Control, Stockholm, Sweden
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Otani N, Nakajima K, Yamada K, Ishikawa K, Ichiki K, Ueda T, Takesue Y, Yamamoto T, Higasa S, Tanimura S, Inai Y, Okuno T. Timing of Assessment of Humoral and Cell-Mediated Immunity after Influenza Vaccination. Vaccines (Basel) 2024; 12:584. [PMID: 38932313 PMCID: PMC11209235 DOI: 10.3390/vaccines12060584] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2024] [Revised: 05/24/2024] [Accepted: 05/26/2024] [Indexed: 06/28/2024] Open
Abstract
Assessment of the immune response to influenza vaccines should include an assessment of both humoral and cell-mediated immunity. However, there is a lack of consensus regarding the timing of immunological assessment of humoral and cell-mediated immunity after vaccination. Therefore, we investigated the timing of immunological assessments after vaccination using markers of humoral and cell-mediated immunity. In the 2018/2019 influenza season, blood was collected from 29 healthy adults before and after vaccination with a quadrivalent inactivated influenza vaccine, and we performed serial measurements of humoral immunity (hemagglutination inhibition [HAI] and neutralizing antibody [NT]) and cell-mediated immunity (interferon-gamma [IFN-γ]). The HAI and NT titers before and after vaccination were strongly correlated, but no correlation was observed between the markers of cell-mediated and humoral immunity. The geometric mean titer and geometric mean concentration of humoral and cellular immune markers increased within 2 weeks after vaccination and had already declined by 8 weeks. This study suggests that the optimal time to assess the immune response is 2 weeks after vaccination. Appropriately timed immunological assessments can help ensure that vaccination is effective.
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Affiliation(s)
- Naruhito Otani
- Department of Public Health, Hyogo Medical University, Nishinomiya 663-8501, Hyogo, Japan
- Department of Infection Control and Prevention, Hyogo Medical University, Nishinomiya 663-8501, Hyogo, Japan; (K.N.); (K.Y.); (K.I.); (K.I.); (T.U.); (Y.T.)
| | - Kazuhiko Nakajima
- Department of Infection Control and Prevention, Hyogo Medical University, Nishinomiya 663-8501, Hyogo, Japan; (K.N.); (K.Y.); (K.I.); (K.I.); (T.U.); (Y.T.)
| | - Kumiko Yamada
- Department of Infection Control and Prevention, Hyogo Medical University, Nishinomiya 663-8501, Hyogo, Japan; (K.N.); (K.Y.); (K.I.); (K.I.); (T.U.); (Y.T.)
| | - Kaori Ishikawa
- Department of Infection Control and Prevention, Hyogo Medical University, Nishinomiya 663-8501, Hyogo, Japan; (K.N.); (K.Y.); (K.I.); (K.I.); (T.U.); (Y.T.)
| | - Kaoru Ichiki
- Department of Infection Control and Prevention, Hyogo Medical University, Nishinomiya 663-8501, Hyogo, Japan; (K.N.); (K.Y.); (K.I.); (K.I.); (T.U.); (Y.T.)
| | - Takashi Ueda
- Department of Infection Control and Prevention, Hyogo Medical University, Nishinomiya 663-8501, Hyogo, Japan; (K.N.); (K.Y.); (K.I.); (K.I.); (T.U.); (Y.T.)
| | - Yoshio Takesue
- Department of Infection Control and Prevention, Hyogo Medical University, Nishinomiya 663-8501, Hyogo, Japan; (K.N.); (K.Y.); (K.I.); (K.I.); (T.U.); (Y.T.)
| | - Takuma Yamamoto
- Department of Legal Medicine, Hyogo Medical University, Nishinomiya 663-8501, Hyogo, Japan;
| | - Satoshi Higasa
- Department of Respiratory Medicine and Hematology, Hyogo Medical University, Nishinomiya 663-8501, Hyogo, Japan;
| | - Susumu Tanimura
- Department of Public Health Nursing, Mie University Graduate School of Medicine, Tsu 514-0001, Mie, Japan;
| | - Yuta Inai
- The Research Foundation for Microbial Diseases of Osaka University, Kanonji 768-0065, Kagawa, Japan;
| | - Toshiomi Okuno
- Department of Microbiology, Hyogo Medical University, Nishinomiya 663-8501, Hyogo, Japan;
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Emborg HD, Bolt Botnen A, Nielsen J, Vestergaard LS, Lomholt FK, Munkstrup C, Møller KL, Kjelsø C, Rasmussen SH, Trebbien R. Age-dependent influenza infection patterns and subtype circulation in Denmark, in seasons 2015/16 to 2021/22. Euro Surveill 2024; 29:2300263. [PMID: 38275020 PMCID: PMC10986648 DOI: 10.2807/1560-7917.es.2024.29.4.2300263] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2023] [Accepted: 09/19/2023] [Indexed: 01/27/2024] Open
Abstract
BackgroundInfluenza was almost absent for 2 years following the implementation of strict public health measures to prevent the spread of SARS-CoV-2. The consequence of this on infections in different age groups is not yet known.AimTo describe the age groups infected with the influenza virus in 2021/22, the first post-pandemic influenza season in Denmark, compared with the previous six seasons, and subtypes circulating therein.MethodsInfection and hospitalisation incidences per season and age group were estimated from data in Danish registries. Influenza virus subtypes and lineages were available from samples sent to the National Influenza Centre at Statens Serum Institut.ResultsTest incidence followed a similar pattern in all seasons, being highest in 0-1-year-olds and individuals over 75 years, and lowest in 7-14-year-olds and young people 15 years to late twenties. When the influenza A virus subtypes A(H3N2) and A(H1N1)pdm09 co-circulated in seasons 2015/16 and 2017/18 to 2019/20, the proportion of A(H1N1)pdm09 was higher in 0-1-year-olds and lower in the over 85-year-olds compared with the overall proportion of A(H1N1)pdm09 in these seasons. The proportion of A(H3N2) was higher in the over 85 years age group compared with the overall proportion of A(H3N2). The 2016/17 and 2021/22 seasons were dominated by A(H3N2) but differed in age-specific trends, with the over 85 years age group initiating the 2016/17 season, while the 2021/22 season was initiated by the 15-25-year-olds, followed by 7-14-year-olds.ConclusionThe 2021/22 influenza season had a different age distribution compared with pre-COVID-19 pandemic seasons.
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Affiliation(s)
- Hanne-Dorthe Emborg
- Department of Infectious Disease Epidemiology and Prevention, Statens Serum Institut, Denmark
| | - Amanda Bolt Botnen
- National Influenza Centre for WHO, Department of Virus and Microbiological Special Diagnostics, Statens Serum Institut, Denmark
| | - Jens Nielsen
- Department of Infectious Disease Epidemiology and Prevention, Statens Serum Institut, Denmark
| | - Lasse S Vestergaard
- Department of Infectious Disease Epidemiology and Prevention, Statens Serum Institut, Denmark
| | | | - Charlotte Munkstrup
- Department of Infectious Disease Epidemiology and Prevention, Statens Serum Institut, Denmark
| | | | - Charlotte Kjelsø
- Department of Infectious Disease Epidemiology and Prevention, Statens Serum Institut, Denmark
| | | | - Ramona Trebbien
- National Influenza Centre for WHO, Department of Virus and Microbiological Special Diagnostics, Statens Serum Institut, Denmark
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Akhtar Z, Götberg M, Erlinge D, Christiansen EH, Oldroyd KG, Motovska Z, Erglis A, Hlinomaz O, Jakobsen L, Engstrøm T, Jensen LO, Fallesen CO, Jensen SE, Angerås O, Calais F, Kåregren A, Lauermann J, Mokhtari A, Nilsson J, Persson J, Islam AKMM, Rahman A, Malik F, Choudhury S, Collier T, Pocock SJ, Pernow J, MacIntyre CR, Fröbert O. Optimal timing of influenza vaccination among patients with acute myocardial infarction - Findings from the IAMI trial. Vaccine 2023; 41:7159-7165. [PMID: 37925315 DOI: 10.1016/j.vaccine.2023.10.028] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2023] [Revised: 09/28/2023] [Accepted: 10/13/2023] [Indexed: 11/06/2023]
Abstract
Influenza vaccination reduces the risk of adverse cardiovascular events.The IAMI trial randomly assigned 2571 patients with acute myocardial infarction (AMI) to receive influenza vaccine or saline placebo during their index hospital admission. It was conducted at 30 centers in 8 countries from October 1, 2016 to March 1, 2020. In this post-hoc exploratory sub-study, we compare the trial outcomes in patients receiving early season vaccination (n = 1188) and late season vaccination (n = 1344).The primary endpoint wasthe composite of all-cause death, myocardial infarction (MI), or stent thrombosis at 12 months. Thecumulative incidence of the primary and key secondary endpoints by randomized treatment and early or late vaccination was estimated using the Kaplan-Meier method. In the early vaccinated group, the primary composite endpoint occurred in 36 participants (6.0%) assigned to influenza vaccine and 49 (8.4%) assigned to placebo (HR 0.69; 95% CI 0.45 to 1.07), compared to 31 participants (4.7%) assigned to influenza vaccine and 42 (6.2%) assigned to placebo (HR 0.74; 95% CI 0.47 to 1.18) in the late vaccinated group (P = 0.848 for interaction on HR scale at 1 year). We observed similar estimates for the key secondary endpoints of all-cause death and CV death. There was no statistically significant difference in vaccine effectiveness against adverse cardiovascular events by timing of vaccination. The effect of vaccination on all-cause death at one year was more pronounced in the group receiving early vaccination (HR 0.50; 95% CI, 0.29 to 0.86) compared late vaccination group (HR 0.75; 35% CI, 0.40 to 1.40) but there was no statistically significant difference between these groups (Interaction P = 0.335). In conclusion,there is insufficient evidence from the trial to establish whether there is a difference in efficacy between early and late vaccinationbut regardless of vaccination timing we strongly recommend influenza vaccination in all patients with cardiovascular diseases.
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Affiliation(s)
- Zubair Akhtar
- Biosecurity Program, The Kirby Institute, UNSW Medicine, University of New South Wales, Sydney, New South Wales, Australia; Programme on Emerging Infections, Infectious Diseases Division, icddr,b, Dhaka, Bangladesh.
| | - Matthias Götberg
- Department of Cardiology, Skane University Hospital, Clinical Sciences, Lund University, Lund, Sweden
| | - David Erlinge
- Department of Cardiology, Skane University Hospital, Clinical Sciences, Lund University, Lund, Sweden
| | | | - Keith G Oldroyd
- Institute of Cardiovascular and Medical Sciences, University of Glasgow, United Kingdom
| | - Zuzana Motovska
- Cardiocenter, Third Faculty of Medicine, Charles University, Prague and University Hospital Kralovske Vinohrady, Prague, Czech Republic
| | - Andrejs Erglis
- Pauls Stradins Clinical University Hospital, University of Latvia, Riga, Latvia
| | - Ota Hlinomaz
- International Clinical Research Center, St. Anne University Hospital and Masaryk University, Brno, Czech Republic
| | - Lars Jakobsen
- Department of Cardiology, Aarhus University Hospital, Aarhus, Denmark
| | - Thomas Engstrøm
- Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
| | - Lisette O Jensen
- Department of Cardiology, Odense University Hospital, Odense, Denmark
| | | | - Svend E Jensen
- Department of Cardiology, Aalborg University Hospital, Aalborg, Denmark and Department of Clinical Medicine, Aalborg University, Aalborg, Denmark
| | - Oskar Angerås
- Sahlgrenska University Hospital, Gothenburg, Sweden and Institute of Medicine, Department of molecular and clinical medicine, Gothenburg University, Gothenburg, Sweden
| | - Fredrik Calais
- Örebro University, Faculty of Health, Department of Cardiology, Örebro, Sweden
| | | | - Jörg Lauermann
- Department of Cardiology, Jönköping, Region Jönköping County, and Department of Health, Medicine and Caring, Linköping University, Linköping, Sweden
| | - Arash Mokhtari
- Department of Cardiology, Skane University Hospital, Clinical Sciences, Lund University, Lund, Sweden
| | - Johan Nilsson
- Cardiology, Heart Centre, Department of Public Health and Clinical Medicine, Umeå University, Umea, Sweden
| | - Jonas Persson
- Division of Cardiovascular Medicine, Department of Clinical Sciences, Karolinska Institutet, Danderyd University Hospital, Stockholm, Sweden
| | - Abu K M M Islam
- National Institute of Cardiovascular Diseases, Sher-e-Bangla Nagar, Dhaka 1207, Bangladesh
| | - Afzalur Rahman
- National Institute of Cardiovascular Diseases, Sher-e-Bangla Nagar, Dhaka 1207, Bangladesh
| | - Fazila Malik
- National Heart Foundation Hospital & Research Institute, Dhaka, Bangladesh
| | - Sohel Choudhury
- National Heart Foundation Hospital & Research Institute, Dhaka, Bangladesh
| | - Timothy Collier
- Department of Medical Statistics, London School of Hygiene and Tropical Medicine, London, United Kingdom
| | - Stuart J Pocock
- Department of Medical Statistics, London School of Hygiene and Tropical Medicine, London, United Kingdom
| | - John Pernow
- Cardiology Unit, Department of Medicine Solna, Karolinska Institutet and Karolinska University Hospital, Stockholm, Sweden
| | - Chandini R MacIntyre
- Biosecurity Program, The Kirby Institute, UNSW Medicine, University of New South Wales, Sydney, New South Wales, Australia; Cardiology Unit, Department of Medicine Solna, Karolinska Institutet and Karolinska University Hospital, Stockholm, Sweden
| | - Ole Fröbert
- Örebro University, Faculty of Health, Department of Cardiology, Örebro, Sweden; College of Public Service & Community Solutions, Arizona State University, Tempe, AZ, USA; Department of Clinical Medicine, Faculty of Health, Aarhus University, Aarhus, Denmark; Department of Clinical Pharmacology, Aarhus University Hospital, Arhus, Denmark; Steno Diabetes Center Aarhus, Aarhus University Hospital, Aarhus, Denmark
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Larsen Rasmussen S, Kumar P, Trebbien R, Leutscher P, Rasmussen C. Influenza Vaccine Type-Dependent Antibody Response in Patients with Autoimmune Inflammatory Rheumatic Diseases. Eur J Rheumatol 2023; 10:122-129. [PMID: 37873666 PMCID: PMC10765197 DOI: 10.5152/eurjrheum.2023.23053] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2023] [Accepted: 08/31/2023] [Indexed: 10/25/2023] Open
Abstract
BACKGROUND The study aimed to explore influenza antibody response in patients with autoimmune inflammatory rheumatoid diseases (AIIRDs) stratified by the different vaccine types applied in Denmark during the 2018-2019 influenza season. METHODS Included patients were diagnosed with rheumatoid arthritis, psoriatic arthritis, or spondyloarthritis receiving biological disease-modifying antirheumatic drugs (bDMARDs) with or without conventional synthetic disease-modifying antirheumatic drugs. Influenza vaccination status in the 2018-2019 season and vaccine type received were reviewed in the Denmark. Blood samples were drawn ≥ 14 days post vaccination, and antibody titers were determined by the hemagglutinin inhibition (HAI) assay for the serotypes A/Michigan/H1N1, A/Singapore/H3N2, and B/Colorado included in the influenza vaccines in the 2018-2019 season. An overall serotype HAI geometric mean titer (GMT) was calculated from the 3 serotype-specific HAI titers. An overall serotype HAI GMT ≥ 40 was considered protective. RESULTS Of the 205 included patients, 105 (51%) had received influenza vaccination. One-quarter of vaccinated patients achieved post-vaccination overall serotype HAI GMT ≥40. For patients vaccinated with Influvac, a significantly higher proportion had HAI titers ≥ 40 for 2 serotypes, namely, A/Michigan/H1N1 and A/Singapore/H3N2, than patients vaccinated with Vaxigrip or VaxigripTetra. The same applied to all serotypes HAI GMT, where significantly more patients who received Influvac achieved postvaccination HAI GMT≥40 versus patients who received Vaxigrip (p=0.02) or VaxigripTetra (p=0.002). The latter outcome was explored in a multivariable logistic regression analysis and remained significant when including the following variables: age, sex, treatment with methotrexate and/or prednisolone, type of influenza vaccine, time interval from vaccination to antibody measurement, and previous vaccination status. CONCLUSION Influenza antibody levels following vaccination with Influvac in bDMARD-treated patients with AIIRDs were superior to Vaxigrip and VaxigripTetra. Treatment with methotrexate (MTX) did not reduce the antibody response.
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Affiliation(s)
| | - Prabhat Kumar
- Department of Rheumatology, North Denmark Regional Hospital, Hjoerring, Denmark
| | - Ramona Trebbien
- National Influenza Center, Statens Serum Institut, Copenhagen, Denmark
| | - Peter Leutscher
- North Denmark Regional Hospital, Centre for Clinical Research, Hjoerring, Denmark
- Department of Clinical Medicine, Aalborg University, Aalborg, Denmark
| | - Claus Rasmussen
- North Denmark Regional Hospital, Centre for Clinical Research, Hjoerring, Denmark
- Department of Rheumatology, North Denmark Regional Hospital, Hjoerring, Denmark
- Department of Clinical Medicine, Aalborg University, Aalborg, Denmark
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Martins JP, Santos M, Martins A, Felgueiras M, Santos R. Seasonal Influenza Vaccine Effectiveness in Persons Aged 15-64 Years: A Systematic Review and Meta-Analysis. Vaccines (Basel) 2023; 11:1322. [PMID: 37631889 PMCID: PMC10459161 DOI: 10.3390/vaccines11081322] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2023] [Revised: 07/25/2023] [Accepted: 07/25/2023] [Indexed: 08/27/2023] Open
Abstract
Influenza is a respiratory disease caused by the influenza virus, which is highly transmissible in humans. This paper presents a systematic review and meta-analysis of randomized controlled trials (RCTs) and test-negative designs (TNDs) to assess the vaccine effectiveness (VE) of seasonal influenza vaccines (SIVs) in humans aged 15 to 64 years. An electronic search to identify all relevant studies was performed. The outcome measure of interest was VE on laboratory-confirmed influenza (any strain). Quality assessment was performed using the Cochrane risk-of-bias tool for RCTs and the ROBINS-I tool for TNDs. The search identified a total of 2993 records, but only 123 studies from 73 papers were included in the meta-analysis. Of these studies, 9 were RCTs and 116 were TNDs. The pooled VE was 48% (95% CI: 42-54) for RCTs, 55.4% (95% CI: 43.2-64.9) when there was a match between the vaccine and most prevalent circulating strains and 39.3% (95% CI: 23.5-51.9) otherwise. The TNDs' adjusted VE was equal to 39.9% (95% CI: 31-48), 45.1 (95% CI: 38.7-50.8) when there was a match and 35.1 (95% CI: 29.0-40.7) otherwise. The match between strains included in the vaccine and strains in circulation is the most important factor in the VE. It increases by more than 25% when there is a match with the most prevalent circulating strains. The laboratorial method for confirmation of influenza is a possible source of bias when estimating VE.
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Affiliation(s)
- João Paulo Martins
- Escola Superior de Saúde, Instituto Politécnico do Porto, Rua Dr. António Bernardino de Almeida, 4200-072 Porto, Portugal;
- CEAUL—Centro de Estatística e Aplicações, Faculdade de Ciências, Campo Grande, Universidade de Lisboa, 1749-016 Lisboa, Portugal; (M.F.); (R.S.)
| | - Marlene Santos
- Escola Superior de Saúde, Instituto Politécnico do Porto, Rua Dr. António Bernardino de Almeida, 4200-072 Porto, Portugal;
- Centro de Investigação em Saúde e Ambiente, Instituto Politécnico do Porto, Rua Dr. António Bernardino de Almeida, 4200-072 Porto, Portugal;
| | - André Martins
- Centro de Investigação em Saúde e Ambiente, Instituto Politécnico do Porto, Rua Dr. António Bernardino de Almeida, 4200-072 Porto, Portugal;
| | - Miguel Felgueiras
- CEAUL—Centro de Estatística e Aplicações, Faculdade de Ciências, Campo Grande, Universidade de Lisboa, 1749-016 Lisboa, Portugal; (M.F.); (R.S.)
- Escola Superior de Tecnologia e Gestão, Instituto Politécnico de Leiria, Campus 2, Morro do Lena—Alto do Vieiro, Apartado 4163, 2411-901 Leiria, Portugal
| | - Rui Santos
- CEAUL—Centro de Estatística e Aplicações, Faculdade de Ciências, Campo Grande, Universidade de Lisboa, 1749-016 Lisboa, Portugal; (M.F.); (R.S.)
- Escola Superior de Tecnologia e Gestão, Instituto Politécnico de Leiria, Campus 2, Morro do Lena—Alto do Vieiro, Apartado 4163, 2411-901 Leiria, Portugal
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Mazagatos C, Delgado-Sanz C, Milagro A, Liébana-Rodríguez M, Larrauri A. Impact of Influenza Vaccination on the Burden of Severe Influenza in the Elderly: Spain, 2017-2020. Vaccines (Basel) 2023; 11:1110. [PMID: 37376499 DOI: 10.3390/vaccines11061110] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2023] [Revised: 06/14/2023] [Accepted: 06/15/2023] [Indexed: 06/29/2023] Open
Abstract
Annual influenza vaccination is the main strategy to reduce the burden of seasonal influenza epidemics and is recommended for the elderly in most countries with influenza vaccination strategies, with the main objective of preventing hospitalizations and mortality associated with seasonal influenza in this age group. Studies from different countries have estimated the benefits of seasonal influenza vaccination programs in the elderly, preventing a considerable number of cases, hospitalizations and deaths every year. A study measured the number of medically attended confirmed influenza cases in primary care that are prevented annually by vaccination in the population aged 65 and older in Spain, the Netherlands and Portugal, but estimates of the impact of the national influenza vaccination program in the prevention of severe disease in Spain are lacking. The two objectives of this study were to estimate the burden of severe influenza disease in the Spanish population and to measure the impact of influenza vaccination in the prevention of these outcomes in the population aged 65 years and older. Using influenza surveillance systems put in place before the COVID-19 pandemic, we conducted a retrospective observational study to estimate the burden of hospitalizations and ICU admissions in Spain between 2017-18 and 2019-20, by season and age group. Burden estimates for the 65+ group, combined with vaccine effectiveness (VE) and vaccination coverage (VC) data, were used as input data in an ecological, observational study to estimate the impact of the influenza vaccination program on the elderly. We found a higher burden of severe influenza disease in seasons 2017-18 and 2018-19, with A(H3N2) circulation, and in the youngest and oldest age groups. In those aged 65 and older, we estimated an average of 9900 influenza hospitalizations and 1541 ICU admissions averted by vaccination each year. Seasonal influenza vaccination was able to prevent between 11 and 26% influenza hospitalizations and around 40% ICU admissions in the elderly in the three pre-pandemic seasons. In conclusion, our study complements previous analyses in the primary care setting in Spain and demonstrates the benefits of the annual influenza vaccination program in the prevention of severe influenza disease in the elderly, even in seasons with moderate VE.
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Affiliation(s)
- Clara Mazagatos
- National Centre of Epidemiology, Institute of Health Carlos III, 28029 Madrid, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), 28029 Madrid, Spain
| | - Concepción Delgado-Sanz
- National Centre of Epidemiology, Institute of Health Carlos III, 28029 Madrid, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), 28029 Madrid, Spain
| | - Ana Milagro
- Miguel Servet University Hospital, Microbiology, 50009 Zaragoza, Spain
- Health Research Institute Aragón, 50009 Zaragoza, Spain
| | - María Liébana-Rodríguez
- Servicio Medicina Preventiva, Hospital Universitario Virgen de las Nieves, 18014 Granada, Spain
| | - Amparo Larrauri
- National Centre of Epidemiology, Institute of Health Carlos III, 28029 Madrid, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), 28029 Madrid, Spain
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9
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Andersen MP, Mills EHA, Meddis A, Sørensen KK, Butt JH, Køber L, Poulsen HE, Phelps M, Gislason G, Christensen HC, Schou M, Fosbøl EL, Gerds TA, Kragholm K, Torp-Pedersen C. All-cause mortality among Danish nursing home residents before and during the COVID-19 pandemic: a nationwide cohort study. Eur J Epidemiol 2023; 38:523-531. [PMID: 37012504 PMCID: PMC10069726 DOI: 10.1007/s10654-023-00994-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2022] [Accepted: 03/15/2023] [Indexed: 04/05/2023]
Abstract
A substantial part of mortality during the COVID-19-pandemic occurred among nursing home residents which caused alarm in many countries. We investigate nursing home mortality in relation to the expected mortality prior to the pandemic. This nationwide register-based study included all 135,501 Danish nursing home residents between 2015 until October 6, 2021. All-cause mortality rates were calculated using a standardization method on sex and age distribution of 2020. Survival probability and lifetime lost for 180 days was calculated using Kaplan Meier estimates. Of 3,587 COVID-19 related deaths, 1137 (32%) occurred among nursing home residents. The yearly all-cause mortality rates per 100,000 person-years in 2015, 2016, and 2017 were 35,301 (95% CI: 34,671-35,943), 34,801 (95% CI: 34,180-35,432), and 35,708 (95% CI: 35,085-36,343), respectively. Slightly elevated mortality rates per 100,000 person-years were seen in 2018, 2019, 2020, and 2021 of 38,268 (95% CI: 37,620-38,929), 36,956 (95% CI: 36,323-37,600), 37,475 (95% CI: 36,838-38,122), and 38,536 (95% CI: 37,798-39,287), respectively. For SARS-CoV-2-infected nursing home residents, lifetime lost difference was 42 days (95% CI: 38-46) in 2020 versus non-infected in 2018. Among vaccinated in 2021, lifetime lost difference was 25 days (95% CI: 18-32) for SARS-CoV-2-infected versus non-infected. Even though a high proportion of COVID-19 fatalities took place in nursing homes and SARS-CoV-2-infection increased the risk of individual death, the annual mortality was only slightly elevated. For future epidemics or pandemics reporting numbers of fatal cases in relation to expected mortality is critical.
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Affiliation(s)
| | | | - Alessandra Meddis
- Department of Biostatistics, University of Copenhagen, Copenhagen, Denmark
| | - Kathrine Kold Sørensen
- Department of Cardiology, Nordsjællands Hospital, Dyrehavevej 29, 3400, Hillerød, Denmark
| | | | - Lars Køber
- Department of Cardiology, Rigshospitalet, Copenhagen, Denmark
| | - Henrik Enghusen Poulsen
- Department of Cardiology, Nordsjællands Hospital, Dyrehavevej 29, 3400, Hillerød, Denmark
- Department of Endocrinology, Copenhagen University Hospital at Bispebjerg Frederiksberg Hospital, Copenhagen, Denmark
| | | | - Gunnar Gislason
- The Danish Heart Foundation, Copenhagen, Denmark
- Department of Cardiology, Herlev-Gentofte Hospital, Copenhagen, Denmark
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
- National Institute of Public Health, University of Southern Denmark, Copenhagen, Denmark
| | | | - Morten Schou
- Department of Cardiology, Herlev-Gentofte Hospital, Copenhagen, Denmark
| | - Emil L Fosbøl
- Department of Cardiology, Rigshospitalet, Copenhagen, Denmark
| | - Thomas Alexander Gerds
- Department of Biostatistics, University of Copenhagen, Copenhagen, Denmark
- The Danish Heart Foundation, Copenhagen, Denmark
| | - Kristian Kragholm
- Department of Cardiology, Aalborg University Hospital, Aalborg, Denmark
- Unit of Clinical Biostatistics and Epidemiology, Aalborg University Hospital, Aalborg, Denmark
| | - Christian Torp-Pedersen
- Department of Cardiology, Nordsjællands Hospital, Dyrehavevej 29, 3400, Hillerød, Denmark
- Department of Biostatistics, University of Copenhagen, Copenhagen, Denmark
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10
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Jones RP, Ponomarenko A. Roles for Pathogen Interference in Influenza Vaccination, with Implications to Vaccine Effectiveness (VE) and Attribution of Influenza Deaths. Infect Dis Rep 2022; 14:710-758. [PMID: 36286197 PMCID: PMC9602062 DOI: 10.3390/idr14050076] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/07/2022] [Revised: 09/15/2022] [Accepted: 09/15/2022] [Indexed: 08/29/2023] Open
Abstract
Pathogen interference is the ability of one pathogen to alter the course and clinical outcomes of infection by another. With up to 3000 species of human pathogens the potential combinations are vast. These combinations operate within further immune complexity induced by infection with multiple persistent pathogens, and by the role which the human microbiome plays in maintaining health, immune function, and resistance to infection. All the above are further complicated by malnutrition in children and the elderly. Influenza vaccination offers a measure of protection for elderly individuals subsequently infected with influenza. However, all vaccines induce both specific and non-specific effects. The specific effects involve stimulation of humoral and cellular immunity, while the nonspecific effects are far more nuanced including changes in gene expression patterns and production of small RNAs which contribute to pathogen interference. Little is known about the outcomes of vaccinated elderly not subsequently infected with influenza but infected with multiple other non-influenza winter pathogens. In this review we propose that in certain years the specific antigen mix in the seasonal influenza vaccine inadvertently increases the risk of infection from other non-influenza pathogens. The possibility that vaccination could upset the pathogen balance, and that the timing of vaccination relative to the pathogen balance was critical to success, was proposed in 2010 but was seemingly ignored. Persons vaccinated early in the winter are more likely to experience higher pathogen interference. Implications to the estimation of vaccine effectiveness and influenza deaths are discussed.
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Affiliation(s)
- Rodney P Jones
- Healthcare Analysis and Forecasting, Wantage OX12 0NE, UK
| | - Andrey Ponomarenko
- Department of Biophysics, Informatics and Medical Instrumentation, Odessa National Medical University, Valikhovsky Lane 2, 65082 Odessa, Ukraine
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11
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Mazagatos C, Delgado-Sanz C, Monge S, Pozo F, Oliva J, Sandonis V, Gandarillas A, Quiñones-Rubio C, Ruiz-Sopeña C, Gallardo-García V, Basile L, Barranco-Boada MI, Hidalgo-Pardo O, Vazquez-Cancela O, García-Vázquez M, Fernández-Sierra A, Milagro-Beamonte A, Ordobás M, Martínez-Ochoa E, Fernández-Arribas S, Lorusso N, Martínez A, García-Fulgueiras A, Sastre-Palou B, Losada-Castillo I, Martínez-Cuenca S, Rodríguez-Del Águila M, Latorre M, Larrauri A. COVID-19 vaccine effectiveness against hospitalization due to SARS-CoV-2: A test-negative design study based on Severe Acute Respiratory Infection (SARI) sentinel surveillance in Spain. Influenza Other Respir Viruses 2022; 16:1014-1025. [PMID: 35880469 PMCID: PMC9350393 DOI: 10.1111/irv.13026] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2022] [Revised: 07/05/2022] [Accepted: 07/07/2022] [Indexed: 11/26/2022] Open
Abstract
Background With the emergence of SARS‐CoV‐2, influenza surveillance systems in Spain were transformed into a new syndromic sentinel surveillance system. The Acute Respiratory Infection Surveillance System (SiVIRA in Spanish) is based on a sentinel network for acute respiratory infection (ARI) surveillance in primary care and a network of sentinel hospitals for severe ARI (SARI) surveillance in hospitals. Methods Using a test‐negative design and data from SARI admissions notified to SiVIRA between January 1 and October 3, 2021, we estimated COVID‐19 vaccine effectiveness (VE) against hospitalization, by age group, vaccine type, time since vaccination, and SARS‐CoV‐2 variant. Results VE was 89% (95% CI: 83–93) against COVID‐19 hospitalization overall in persons aged 20 years and older. VE was higher for mRNA vaccines, and lower for those aged 80 years and older, with a decrease in protection beyond 3 months of completing vaccination, and a further decrease after 5 months. We found no differences between periods with circulation of Alpha or Delta SARS‐CoV‐2 variants, although variant‐specific VE was slightly higher against Alpha. Conclusions The SiVIRA sentinel hospital surveillance network in Spain was able to describe clinical and epidemiological characteristics of SARI hospitalizations and provide estimates of COVID‐19 VE in the population under surveillance. Our estimates add to evidence of high effectiveness of mRNA vaccines against severe COVID‐19 and waning of protection with time since vaccination in those aged 80 or older. No substantial differences were observed between SARS‐CoV‐2 variants (Alpha vs. Delta).
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Affiliation(s)
- Clara Mazagatos
- National Centre for Epidemiology, Institute of Health Carlos III, Madrid, Spain.,Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain
| | - Concepción Delgado-Sanz
- National Centre for Epidemiology, Institute of Health Carlos III, Madrid, Spain.,Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain
| | - Susana Monge
- National Centre for Epidemiology, Institute of Health Carlos III, Madrid, Spain.,Consortium for Biomedical Research in Infectious Diseases (CIBERINFEC), Madrid, Spain
| | - Francisco Pozo
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain.,National Centre for Microbiology, Institute of Health Carlos III, Madrid, Spain
| | - Jesús Oliva
- National Centre for Epidemiology, Institute of Health Carlos III, Madrid, Spain.,Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain
| | - Virginia Sandonis
- National Centre for Microbiology, Institute of Health Carlos III, Madrid, Spain
| | - Ana Gandarillas
- Subdirección General de Epidemiología, Dirección General de Salud Pública, Madrid, Spain
| | - Carmen Quiñones-Rubio
- Servicio de Epidemiología y Prevención Sanitaria, Dirección General de Salud Pública, Consumo y Cuidados, Logroño, Spain
| | | | - Virtudes Gallardo-García
- Dirección General de Salud Pública y Ordenación Farmacéutica, Junta de Andalucía, Seville, Spain
| | - Luca Basile
- Subdirección General de Vigilancia y Respuesta a Emergencias de Salud Pública, Agencia de Salud Pública, Catalonia, Spain
| | | | - Olga Hidalgo-Pardo
- Servicio de Medicina Preventiva Hospital Universitario Son Espases, Servicio de Epidemiología, Consellería de Salut, Palma, Spain
| | - Olalla Vazquez-Cancela
- Servicio de Medicina Preventiva, Complejo Hospitalario Universitario de Santiago, Santiago de Compostela, Spain
| | - Miriam García-Vázquez
- Vigilancia Epidemiológica, Dirección General de Salud Pública, Departamento de Sanidad, Gobierno de Aragón, Zaragoza, Spain
| | | | - Ana Milagro-Beamonte
- Laboratorio de Microbiología, Hospital Universitario Miguel Servet, Zaragoza, Spain.,Instituto de Investigación Sanitaria Aragón (IIS Aragón), Zaragoza, Spain
| | - María Ordobás
- Subdirección General de Epidemiología, Dirección General de Salud Pública, Madrid, Spain
| | - Eva Martínez-Ochoa
- Servicio de Epidemiología y Prevención Sanitaria, Dirección General de Salud Pública, Consumo y Cuidados, Logroño, Spain
| | | | - Nicola Lorusso
- Dirección General de Salud Pública y Ordenación Farmacéutica, Junta de Andalucía, Seville, Spain
| | - Ana Martínez
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain.,Subdirección General de Vigilancia y Respuesta a Emergencias de Salud Pública, Agencia de Salud Pública, Catalonia, Spain
| | - Ana García-Fulgueiras
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain.,Servicio de Epidemiología, Dirección General de Salud Pública, Consejería de Salud, Murcia, Spain
| | - Bartolomé Sastre-Palou
- Servicio de Medicina Preventiva Hospital Universitario Son Espases, Servicio de Epidemiología, Consellería de Salut, Palma, Spain
| | - Isabel Losada-Castillo
- Servizo de Epidemioloxía, Dirección Xeral de Saúde Pública, Consellería de Sanidade, Xunta de Galicia, Galicia, Spain
| | - Silvia Martínez-Cuenca
- Vigilancia Epidemiológica, Dirección General de Salud Pública, Departamento de Sanidad, Gobierno de Aragón, Zaragoza, Spain
| | | | - Miriam Latorre
- Laboratorio de Microbiología, Hospital Universitario Miguel Servet, Zaragoza, Spain.,Instituto de Investigación Sanitaria Aragón (IIS Aragón), Zaragoza, Spain
| | - Amparo Larrauri
- National Centre for Epidemiology, Institute of Health Carlos III, Madrid, Spain.,Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain
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12
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Bliss CM, Freyn AW, Caniels TG, Leyva-Grado VH, Nachbagauer R, Sun W, Tan GS, Gillespie VL, McMahon M, Krammer F, Hill AVS, Palese P, Coughlan L. A single-shot adenoviral vaccine provides hemagglutinin stalk-mediated protection against heterosubtypic influenza challenge in mice. Mol Ther 2022; 30:2024-2047. [PMID: 34999208 PMCID: PMC9092311 DOI: 10.1016/j.ymthe.2022.01.011] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2021] [Revised: 12/13/2021] [Accepted: 01/05/2022] [Indexed: 11/15/2022] Open
Abstract
Conventional influenza vaccines fail to confer broad protection against diverse influenza A viruses with pandemic potential. Efforts to develop a universal influenza virus vaccine include refocusing immunity towards the highly conserved stalk domain of the influenza virus surface glycoprotein, hemagglutinin (HA). We constructed a non-replicating adenoviral (Ad) vector, encoding a secreted form of H1 HA, to evaluate HA stalk-focused immunity. The Ad5_H1 vaccine was tested in mice for its ability to elicit broad, cross-reactive protection against homologous, heterologous, and heterosubtypic lethal challenge in a single-shot immunization regimen. Ad5_H1 elicited hemagglutination inhibition (HI+) active antibodies (Abs), which conferred 100% sterilizing protection from homologous H1N1 challenge. Furthermore, Ad5_H1 rapidly induced H1-stalk-specific Abs with Fc-mediated effector function activity, in addition to stimulating both CD4+ and CD8+ stalk-specific T cell responses. This phenotype of immunity provided 100% protection from lethal challenge with a head-mismatched, reassortant influenza virus bearing a chimeric HA, cH6/1, in a stalk-mediated manner. Most importantly, 100% protection from mortality following lethal challenge with a heterosubtypic avian influenza virus, H5N1, was observed following a single immunization with Ad5_H1. In conclusion, Ad-based influenza vaccines can elicit significant breadth of protection in naive animals and could be considered for pandemic preparedness and stockpiling.
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Affiliation(s)
- Carly M Bliss
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY 10029, USA
| | - Alec W Freyn
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY 10029, USA
| | - Tom G Caniels
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY 10029, USA
| | - Victor H Leyva-Grado
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY 10029, USA
| | - Raffael Nachbagauer
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY 10029, USA
| | - Weina Sun
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY 10029, USA
| | - Gene S Tan
- Craig Venter Institute, La Jolla, CA 92037, USA; Division of Infectious Disease, Department of Medicine, University of California, San Diego, La Jolla, CA 92037, USA
| | - Virginia L Gillespie
- The Center for Comparative Medicine and Surgery (CCMS) Comparative Pathology Laboratory, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Meagan McMahon
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY 10029, USA
| | - Florian Krammer
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY 10029, USA; Department of Pathology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Adrian V S Hill
- Jenner Institute, University of Oxford, Roosevelt Drive, Oxford OX3 7DQ, UK
| | - Peter Palese
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY 10029, USA
| | - Lynda Coughlan
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY 10029, USA; Department of Microbiology and Immunology, University of Maryland School of Medicine, Baltimore, MD 21201, USA; Center for Vaccine Development and Global Health (CVD), University of Maryland School of Medicine, Baltimore, MD 21201, USA.
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13
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Ando S. Effectiveness of the 2019-2020 Influenza Vaccine and the Effect of Prior Influenza Infection and Vaccination in Children during the First Influenza Season Overlapping with the COVID-19 Epidemic. J NIPPON MED SCH 2021; 88:524-532. [PMID: 33692300 DOI: 10.1272/jnms.jnms.2022_89-102] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
Abstract
BACKGROUND Behavioral changes among Japanese, along with the coronavirus disease 2019 (COVID-19) epidemic, may affect the seasonal influenza epidemic in Japan and change influenza vaccine effectiveness (VE). METHODS This single-center, test-negative case-control (TNCC) study estimated influenza VE in children for the first influenza season (2019/20) to overlap the COVID-19 epidemic in. Effects of prior influenza infection and vaccination in children were assessed for the 2019-2020 season. RESULTS Among 386 children, adjusted VE was significant for influenza A/H1N1 (45.5%; 95% confidence interval [CI]: 2.0-69.7) and influenza B (66.7%; 95% CI: 35.9-82.7). Among patients aged 0-6 years, adjusted VE was significant for influenza A (total: A/H1N1+A/H3N2) (65.0%; 95% CI: 22.2-84.3), influenza A/H1N1 (64.8%; 95% CI: 16.9-85.1) and influenza B (87.4%; 95% CI: 50.5-96.8). No VE was observed in patients aged 7-15 years. Administration of two vaccine doses tended to decrease incidences of influenza A (total) and influenza A/H1N1 in patients aged 0-6 years. The adjusted odds ratios (ORs) of influenza B infection in patients, who had influenza during the previous season, were significantly lower among all participants (0.29; 95% CI: 0.11-0.78) and patients aged 7-15 years (0.34; 95% CI: 0.12-0.94). The adjusted ORs of influenza infections were not significant in patients vaccinated during the previous season. CONCLUSIONS TNCC-based estimates of influenza VE were consistent despite the overlapping COVID-19 epidemic.
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14
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Fröbert O, Götberg M, Erlinge D, Akhtar Z, Christiansen EH, MacIntyre CR, Oldroyd KG, Motovska Z, Erglis A, Moer R, Hlinomaz O, Jakobsen L, Engstrøm T, Jensen LO, Fallesen CO, Jensen SE, Angerås O, Calais F, Kåregren A, Lauermann J, Mokhtari A, Nilsson J, Persson J, Stalby P, Islam AKMM, Rahman A, Malik F, Choudhury S, Collier T, Pocock SJ, Pernow J. Influenza Vaccination After Myocardial Infarction: A Randomized, Double-Blind, Placebo-Controlled, Multicenter Trial. Circulation 2021; 144:1476-1484. [PMID: 34459211 DOI: 10.1161/circulationaha.121.057042] [Citation(s) in RCA: 124] [Impact Index Per Article: 31.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
BACKGROUND Observational and small, randomized studies suggest that influenza vaccine may reduce future cardiovascular events in patients with cardiovascular disease. METHODS We conducted an investigator-initiated, randomized, double-blind trial to compare inactivated influenza vaccine with saline placebo administered shortly after myocardial infarction (MI; 99.7% of patients) or high-risk stable coronary heart disease (0.3%). The primary end point was the composite of all-cause death, MI, or stent thrombosis at 12 months. A hierarchical testing strategy was used for the key secondary end points: all-cause death, cardiovascular death, MI, and stent thrombosis. RESULTS Because of the COVID-19 pandemic, the data safety and monitoring board recommended to halt the trial before attaining the prespecified sample size. Between October 1, 2016, and March 1, 2020, 2571 participants were randomized at 30 centers across 8 countries. Participants assigned to influenza vaccine totaled 1290 and individuals assigned to placebo equaled 1281; of these, 2532 received the study treatment (1272 influenza vaccine and 1260 placebo) and were included in the modified intention to treat analysis. Over the 12-month follow-up, the primary outcome occurred in 67 participants (5.3%) assigned influenza vaccine and 91 participants (7.2%) assigned placebo (hazard ratio, 0.72 [95% CI, 0.52-0.99]; P=0.040). Rates of all-cause death were 2.9% and 4.9% (hazard ratio, 0.59 [95% CI, 0.39-0.89]; P=0.010), rates of cardiovascular death were 2.7% and 4.5%, (hazard ratio, 0.59 [95% CI, 0.39-0.90]; P=0.014), and rates of MI were 2.0% and 2.4% (hazard ratio, 0.86 [95% CI, 0.50-1.46]; P=0.57) in the influenza vaccine and placebo groups, respectively. CONCLUSIONS Influenza vaccination early after an MI or in high-risk coronary heart disease resulted in a lower risk of a composite of all-cause death, MI, or stent thrombosis, and a lower risk of all-cause death and cardiovascular death, as well, at 12 months compared with placebo. Registration: URL: https://www.clinicaltrials.gov; Unique identifier: NCT02831608.
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Affiliation(s)
- Ole Fröbert
- Örebro University, Faculty of Health, Department of Cardiology, Sweden (O.F., F.C.)
| | - Matthias Götberg
- Department of Cardiology, Skane University Hospital, Clinical Sciences, Lund University, Sweden (M.G., D.E., A.M.)
| | - David Erlinge
- Department of Cardiology, Skane University Hospital, Clinical Sciences, Lund University, Sweden (M.G., D.E., A.M.)
| | - Zubair Akhtar
- International Centre for Diarrhoeal Disease Research, Bangladesh, Dhaka (Z.A.)
| | | | - Chandini R MacIntyre
- The Kirby Institute, UNSW Medicine, University of New South Wales, Sydney, Australia (C.R.M.)
| | - Keith G Oldroyd
- British Heart Foundation Glasgow Cardiovascular Research Centre, Institute of Cardiovascular and Medical Sciences, University of Glasgow, United Kingdom, and West of Scotland Heart and Lung Centre, Golden Jubilee National Hospital, Clydebank, Glasgow, United Kingdom (K.G.O.)
| | - Zuzana Motovska
- Cardiocenter, Third Faculty of Medicine, Charles University, and University Hospital Kralovske Vinohrady, Prague, Czech Republic (Z.M.)
| | - Andrejs Erglis
- Pauls Stradins Clinical University Hospital, University of Latvia, Riga (A.E.)
| | - Rasmus Moer
- LHL-sykehuset Gardermoen, Oslo, Norway (R.M.)
| | - Ota Hlinomaz
- International clinical research center, St. Anne University Hospital and Masaryk University, Brno, Czech Republic (O.H.)
| | - Lars Jakobsen
- Department of Cardiology, Aarhus University Hospital, Denmark (E.H.C., L.J.)
| | | | - Lisette O Jensen
- Department of Cardiology, Odense University Hospital, Denmark (L.O.J., C.O.F.)
| | | | - Svend E Jensen
- Department of Cardiology, Aalborg University Hospital, and Department of Clinical Medicine, Aalborg University, Denmark (S.E.J.)
| | - Oskar Angerås
- Sahlgrenska University Hospital and Institute of Medicine, Department of molecular and clinical medicine, Gothenburg University, Sweden (O.A.)
| | - Fredrik Calais
- Örebro University, Faculty of Health, Department of Cardiology, Sweden (O.F., F.C.)
| | | | - Jörg Lauermann
- Department of Cardiology, Jönköping, Region Jönköping County, and Department of Health, Medicine and Caring, Linköping University, Sweden (J.L.)
| | - Arash Mokhtari
- Department of Cardiology, Skane University Hospital, Clinical Sciences, Lund University, Sweden (M.G., D.E., A.M.)
| | - Johan Nilsson
- Cardiology, Heart Centre, Department of Public Health and Clinical Medicine, Umeå University, Sweden (J.N.)
| | - Jonas Persson
- Division of Cardiovascular Medicine, Department of Clinical Sciences, Karolinska Institutet, Danderyd University Hospital, Stockholm, Sweden (J. Persson)
| | - Per Stalby
- Department of Cardiology, Karlstad Central Hospital, Sweden (P.S.)
| | - Abu K M M Islam
- National Institute of Cardiovascular Diseases, Sher-e-Bangla Nagar, Dhaka, Bangladesh (A.K.K.M.I., A.R.)
| | - Afzalur Rahman
- National Institute of Cardiovascular Diseases, Sher-e-Bangla Nagar, Dhaka, Bangladesh (A.K.K.M.I., A.R.)
| | - Fazila Malik
- National Heart Foundation Hospital and Research Institute, Dhaka, Bangladesh (F.M., S.C.)
| | - Sohel Choudhury
- National Heart Foundation Hospital and Research Institute, Dhaka, Bangladesh (F.M., S.C.)
| | - Timothy Collier
- Department of Medical Statistics, London School of Hygiene and Tropical Medicine, United Kingdom (T.C., S.J.P.)
| | - Stuart J Pocock
- Department of Medical Statistics, London School of Hygiene and Tropical Medicine, United Kingdom (T.C., S.J.P.)
| | - John Pernow
- Cardiology Unit, Department of Medicine Solna, Karolinska Institutet and Karolinska University Hospital, Stockholm, Sweden (J. Pernow)
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15
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Boikos C, Fischer L, O'Brien D, Vasey J, Sylvester GC, Mansi JA. Relative Effectiveness of Adjuvanted Trivalent Inactivated Influenza Vaccine Versus Egg-derived Quadrivalent Inactivated Influenza Vaccines and High-dose Trivalent Influenza Vaccine in Preventing Influenza-related Medical Encounters in US Adults ≥ 65 Years During the 2017-2018 and 2018-2019 Influenza Seasons. Clin Infect Dis 2021; 73:816-823. [PMID: 33605977 PMCID: PMC8423477 DOI: 10.1093/cid/ciab152] [Citation(s) in RCA: 29] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2020] [Indexed: 12/26/2022] Open
Abstract
Background The effectiveness of standard, egg-derived quadrivalent influenza vaccines (IIV4) may be reduced in adults ≥65 years of age, largely because of immunosenescence. An MF59-adjuvanted trivalent influenza vaccine (aIIV3) and a high-dose trivalent influenza vaccine (HD-IIV3) offer older adults enhanced protection versus standard vaccines. This study compared the relative effectiveness of aIIV3 with IIV4 and HD-IIV3 in preventing influenza-related medical encounters over 2 US influenza seasons. Methods This retrospective cohort study included US patients ≥65 years vaccinated with aIIV3, IIV4, or HD-IIV3. The outcome of interest was the occurrence of influenza-related medical encounters. Data were derived from a large dataset comprising primary and specialty care electronic medical records linked with pharmacy and medical claims. Adjusted odds ratios (OR) were derived from an inverse probability of treatment-weighted sample adjusted for age, sex, race, ethnicity, geographic region, vaccination week, and health status. Relative vaccine effectiveness (rVE) was determined using the formula (% VE = 1 – ORadjusted) × 100. Results In 2017–2018, cohorts included: aIIV3, n = 524 223; IIV4, n = 917 609; and HD-IIV3, n = 3 377 860. After adjustment, 2017–2018 rVE of aIIV3 versus IIV4 was 18.2 (95% confidence interval [CI], 15.8–20.5); aIIV3 vs. HD-IIV3 was 7.7 (95% CI, 2.3–12.8). In 2018–2019, cohorts included: aIIV3, n = 1 031 145; IIV4, n = 915 380; HD-IIV3, n = 3 809 601, with adjusted rVEs of aIIV3 versus IIV4 of 27.8 (95% CI, 25.7–29.9) and vs. HD-IIV3 of 6.9 (95% CI, 3.1–10.6). Conclusion In the 2017–2018 and 2018–2019 influenza seasons in the United States, aIIV3 demonstrated greater reduction in influenza-related medical encounters than IIV4 and HD-IIV3 in adults ≥65 years.
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Affiliation(s)
| | | | | | - Joe Vasey
- Veradigm, San Francisco, California, USA
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16
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Danilenko AV, Kolosova NP, Shvalov AN, Ilyicheva TN, Svyatchenko SV, Durymanov AG, Bulanovich JA, Goncharova NI, Susloparov IM, Marchenko VY, Tregubchak TV, Gavrilova EV, Maksyutov RA, Ryzhikov AB. Evaluation of HA-D222G/N polymorphism using targeted NGS analysis in A(H1N1)pdm09 influenza virus in Russia in 2018-2019. PLoS One 2021; 16:e0251019. [PMID: 33914831 PMCID: PMC8084186 DOI: 10.1371/journal.pone.0251019] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2020] [Accepted: 04/19/2021] [Indexed: 02/07/2023] Open
Abstract
Outbreaks of influenza, which is a contagious respiratory disease, occur throughout the world annually, affecting millions of people with many fatal cases. The D222G/N mutations in the hemagglutinin (HA) gene of A(H1N1)pdm09 are associated with severe and fatal human influenza cases. These mutations lead to increased virus replication in the lower respiratory tract (LRT) and may result in life-threatening pneumonia. Targeted NGS analysis revealed the presence of mutations in major and minor variants in 57% of fatal cases, with the proportion of viral variants with mutations varying from 1% to 98% in each individual sample in the epidemic season 2018-2019 in Russia. Co-occurrence of the mutations D222G and D222N was detected in a substantial number of the studied fatal cases (41%). The D222G/N mutations were detected at a low frequency (less than 1%) in the rest of the studied samples from fatal and nonfatal cases of influenza. The presence of HA D222Y/V/A mutations was detected in a few fatal cases. The high rate of occurrence of HA D222G/N mutations in A(H1N1)pdm09 viruses, their increased ability to replicate in the LRT and their association with fatal outcomes points to the importance of monitoring the mutations in circulating A(H1N1)pdm09 viruses for the evaluation of their epidemiological significance and for the consideration of disease prevention and treatment options.
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Affiliation(s)
- Alexey V. Danilenko
- Vector State Research Center of Virology and Biotechnology, Koltsovo, Novosibirsk Region, Russia
| | - Natalia P. Kolosova
- Vector State Research Center of Virology and Biotechnology, Koltsovo, Novosibirsk Region, Russia
| | - Alexander N. Shvalov
- Vector State Research Center of Virology and Biotechnology, Koltsovo, Novosibirsk Region, Russia
| | - Tatyana N. Ilyicheva
- Vector State Research Center of Virology and Biotechnology, Koltsovo, Novosibirsk Region, Russia
- Novosibirsk State University, Novosibirsk, Russia
| | - Svetlana V. Svyatchenko
- Vector State Research Center of Virology and Biotechnology, Koltsovo, Novosibirsk Region, Russia
| | - Alexander G. Durymanov
- Vector State Research Center of Virology and Biotechnology, Koltsovo, Novosibirsk Region, Russia
| | - Julia A. Bulanovich
- Vector State Research Center of Virology and Biotechnology, Koltsovo, Novosibirsk Region, Russia
| | - Natalia I. Goncharova
- Vector State Research Center of Virology and Biotechnology, Koltsovo, Novosibirsk Region, Russia
| | - Ivan M. Susloparov
- Vector State Research Center of Virology and Biotechnology, Koltsovo, Novosibirsk Region, Russia
| | - Vasiliy Y. Marchenko
- Vector State Research Center of Virology and Biotechnology, Koltsovo, Novosibirsk Region, Russia
| | - Tatyana V. Tregubchak
- Vector State Research Center of Virology and Biotechnology, Koltsovo, Novosibirsk Region, Russia
| | - Elena V. Gavrilova
- Vector State Research Center of Virology and Biotechnology, Koltsovo, Novosibirsk Region, Russia
| | - Rinat A. Maksyutov
- Vector State Research Center of Virology and Biotechnology, Koltsovo, Novosibirsk Region, Russia
| | - Alexander B. Ryzhikov
- Vector State Research Center of Virology and Biotechnology, Koltsovo, Novosibirsk Region, Russia
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17
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Shinjoh M, Sugaya N, Yamaguchi Y, Ookawara I, Nakata Y, Narabayashi A, Furuichi M, Yoshida N, Kamei A, Kuramochi Y, Shibata A, Shimoyamada M, Nakazaki H, Maejima N, Yuasa E, Araki E, Maeda N, Ohnishi T, Nishida M, Taguchi N, Yoshida M, Tsunematsu K, Shibata M, Hirano Y, Sekiguchi S, Kawakami C, Mitamura K, Takahashi T. Influenza vaccine effectiveness against influenza A in children based on the results of various rapid influenza tests in the 2018/19 season. PLoS One 2021; 16:e0249005. [PMID: 33770132 PMCID: PMC7997015 DOI: 10.1371/journal.pone.0249005] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2020] [Accepted: 03/09/2021] [Indexed: 11/18/2022] Open
Abstract
During influenza epidemics, Japanese clinicians routinely conduct rapid influenza diagnostic tests (RIDTs) in patients with influenza-like illness, and patients with positive test results are treated with anti-influenza drugs within 48 h after the onset of illness. We assessed the vaccine effectiveness (VE) of inactivated influenza vaccine (IIV) in children (6 months-15 years old, N = 4243), using a test-negative case-control design based on the results of RIDTs in the 2018/19 season. The VE against influenza A(H1N1)pdm and A(H3N2) was analyzed separately using an RIDT kit specifically for detecting A(H1N1)pdm09. The adjusted VE against combined influenza A (H1N1pdm and H3N2) and against A(H1N1)pdm09 was 39% (95% confidence interval [CI], 30%-46%) and 74% (95% CI, 39%-89%), respectively. By contrast, the VE against non-A(H1N1)pdm09 influenza A (presumed to be H3N2) was very low at 7%. The adjusted VE for preventing hospitalization was 56% (95% CI, 16%-77%) against influenza A. The VE against A(H1N1)pdm09 was consistently high in our studies. By contrast, the VE against A(H3N2) was low not only in adults but also in children in the 2018/19 season.
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Affiliation(s)
- Masayoshi Shinjoh
- Department of Pediatrics, Keio University School of Medicine, Tokyo, Japan
| | - Norio Sugaya
- Department of Pediatrics, Keiyu Hospital, Kanagawa, Japan
- * E-mail:
| | - Yoshio Yamaguchi
- Institute of Clinical Research & Department of Infection and Allergy, National Hospital Organization Tochigi Hospital, Tochigi, Japan
| | - Ichiro Ookawara
- Department of Pediatrics, Japanese Red Cross Shizuoka Hospital, Shizuoka, Japan
| | - Yuji Nakata
- Department of Pediatrics, Nippon Koukan Hospital, Kanagawa, Japan
| | | | - Munehiro Furuichi
- Department of Pediatrics, Keio University School of Medicine, Tokyo, Japan
| | - Naoko Yoshida
- Department of Pediatrics, Keio University School of Medicine, Tokyo, Japan
| | - Akinobu Kamei
- Department Pediatrics, Yokohama Municipal Citizen’s Hospital, Kanagawa, Japan
| | - Yuu Kuramochi
- Department of Pediatrics, Subaru Health Insurance Society Ota Memorial Hospital, Gunma, Japan
| | - Akimichi Shibata
- Department of Pediatrics, Japanese Red Cross Ashikaga Hospital, Tochigi, Japan
| | | | - Hisataka Nakazaki
- Department of Pediatrics, Tokyo Dental College Ichikawa General Hospital, Chiba, Japan
| | - Naohiko Maejima
- Department of Pediatrics, Tokyo Metropolitan Ohtsuka Hospital, Tokyo, Japan
| | - Erika Yuasa
- Department of Pediatrics, Saiseikai Utsunomiya Hospital, Tochigi, Japan
| | - Eriko Araki
- Department of Pediatrics, Japanese Red Cross Ashikaga Hospital, Tochigi, Japan
| | - Naonori Maeda
- Department of Pediatrics, National Hospital Organization Tokyo Medical Center, Tokyo, Japan
| | - Takuma Ohnishi
- Department of Pediatrics, National Hospital Organization Saitama Hospital, Saitama, Japan
| | - Mitsuhiro Nishida
- Department of Pediatrics, Shizuoka City Shimizu Hospital, Shizuoka, Japan
| | | | - Makoto Yoshida
- Department of Pediatrics, Sano Kosei General Hospital, Tochigi, Japan
| | | | - Meiwa Shibata
- Department of Pediatrics, Yokohama Rosai Hospital, Kanagawa, Japan
| | - Yasuhiro Hirano
- Department of Pediatrics, Hiratsuka City Hospital, Kanagawa, Japan
| | | | | | - Keiko Mitamura
- Department of Pediatrics, Eiju General Hospital, Tokyo, Japan
| | - Takao Takahashi
- Department of Pediatrics, Keio University School of Medicine, Tokyo, Japan
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18
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Yoon Y, Choi JS, Park M, Cho H, Park M, Huh HJ, Kim YJ, Son MH. Influenza Vaccine Effectiveness in Children at the Emergency Department during the 2018-2019 Season: the First Season School-aged Children Were Included in the Korean Influenza National Immunization Program. J Korean Med Sci 2021; 36:e71. [PMID: 33724738 PMCID: PMC7961871 DOI: 10.3346/jkms.2021.36.e71] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/24/2020] [Accepted: 12/30/2020] [Indexed: 11/20/2022] Open
Abstract
BACKGROUND For the 2018-2019 season, the national influenza immunization program expanded to cover children aged from 6 months to 12 years in Korea. This study aimed to analyze vaccine effectiveness (VE) against influenza in children visiting the pediatric emergency room at a tertiary hospital during the 2018-2019 season. METHODS Patients tested for influenza antigens from October 1st 2018 to May 31st 2019 at the pediatric emergency room of Samsung Medical Center were included. Patients' influenza antigen test results, influenza vaccination history, and underlying medical conditions were reviewed retrospectively. VE was estimated from the test-negative design study. RESULTS Among the 2,901 visits with influenza test results 1,692 visits of 1,417 patients were included for analysis. Among these 1,417 patients, 285 (20.1%) were positive (influenza A, n = 211, 74.0%; influenza B, n = 74, 26.0%). The VE in all patients was 36.4% (95% confidence interval [CI], 13.9 to 53.1). The VE for influenza A was 37.6% (95% CI, 12.6 to 55.5) and VE for influenza B was 24.0% (?38.5 to 58.3). The VE in the age group 6 months to 12 years was significant with a value of 35.6% (95% CI, 10.5 to 53.7); it was not statistically significant in the age group 13 to 18 years. In a multivariate logistic regression model, patients who received an influenza vaccination were less likely to get influenza infection (OR, 0.6; 95% CI, 0.4 to 0.8; P = 0.001), with significant confounding factors such as age group 13 to 18 years (OR, 0.5; 95% CI, 0.3 to 0.8; P = 0.003) and underlying hematology-oncology disease (OR, 0.3; 95% CI, 0.1 to 0.6; P = 0.002). CONCLUSION We report moderate effectiveness of influenza vaccination in previously healthy children aged from 6 months to 12 years in the 2018-2019 season.
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Affiliation(s)
- Yoonsun Yoon
- Department of Pediatrics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Joon Sik Choi
- Department of Hospital Medicine, Yongin Severance Hospital, Yonsei University of Medicine, Yongin, Korea
| | - MiRan Park
- Department of Pediatrics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Hyun Cho
- Statistics and Data Center, Samsung Medical Center, Seoul, Korea
| | - Minsu Park
- Department of Statistics, Keimyung University, Daegu, Korea
| | - Hee Jae Huh
- Department of Laboratory Medicine and Genetics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Yae Jean Kim
- Department of Pediatrics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Meong Hi Son
- Department of Pediatrics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
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19
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Kerstetter LJ, Buckley S, Bliss CM, Coughlan L. Adenoviral Vectors as Vaccines for Emerging Avian Influenza Viruses. Front Immunol 2021; 11:607333. [PMID: 33633727 PMCID: PMC7901974 DOI: 10.3389/fimmu.2020.607333] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2020] [Accepted: 12/07/2020] [Indexed: 12/11/2022] Open
Abstract
It is evident that the emergence of infectious diseases, which have the potential for spillover from animal reservoirs, pose an ongoing threat to global health. Zoonotic transmission events have increased in frequency in recent decades due to changes in human behavior, including increased international travel, the wildlife trade, deforestation, and the intensification of farming practices to meet demand for meat consumption. Influenza A viruses (IAV) possess a number of features which make them a pandemic threat and a major concern for human health. Their segmented genome and error-prone process of replication can lead to the emergence of novel reassortant viruses, for which the human population are immunologically naïve. In addition, the ability for IAVs to infect aquatic birds and domestic animals, as well as humans, increases the likelihood for reassortment and the subsequent emergence of novel viruses. Sporadic spillover events in the past few decades have resulted in human infections with highly pathogenic avian influenza (HPAI) viruses, with high mortality. The application of conventional vaccine platforms used for the prevention of seasonal influenza viruses, such as inactivated influenza vaccines (IIVs) or live-attenuated influenza vaccines (LAIVs), in the development of vaccines for HPAI viruses is fraught with challenges. These issues are associated with manufacturing under enhanced biosafety containment, and difficulties in propagating HPAI viruses in embryonated eggs, due to their propensity for lethality in eggs. Overcoming manufacturing hurdles through the use of safer backbones, such as low pathogenicity avian influenza viruses (LPAI), can also be a challenge if incompatible with master strain viruses. Non-replicating adenoviral (Ad) vectors offer a number of advantages for the development of vaccines against HPAI viruses. Their genome is stable and permits the insertion of HPAI virus antigens (Ag), which are expressed in vivo following vaccination. Therefore, their manufacture does not require enhanced biosafety facilities or procedures and is egg-independent. Importantly, Ad vaccines have an exemplary safety and immunogenicity profile in numerous human clinical trials, and can be thermostabilized for stockpiling and pandemic preparedness. This review will discuss the status of Ad-based vaccines designed to protect against avian influenza viruses with pandemic potential.
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Affiliation(s)
- Lucas J. Kerstetter
- Department of Microbiology and Immunology, University of Maryland School of Medicine, Baltimore, MD, United States
| | - Stephen Buckley
- Department of Microbiology and Immunology, University of Maryland School of Medicine, Baltimore, MD, United States
| | - Carly M. Bliss
- Division of Cancer & Genetics, Division of Infection & Immunity, School of Medicine, Cardiff University, Wales, United Kingdom
| | - Lynda Coughlan
- Department of Microbiology and Immunology, University of Maryland School of Medicine, Baltimore, MD, United States
- Center for Vaccine Development and Global Health, University of Maryland School of Medicine, Baltimore, MD, United States
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20
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Mira-Iglesias A, López-Labrador FX, García-Rubio J, Mengual-Chuliá B, Tortajada-Girbés M, Mollar-Maseres J, Carballido-Fernández M, Schwarz-Chavarri G, Puig-Barberà J, Díez-Domingo J. Influenza Vaccine Effectiveness and Waning Effect in Hospitalized Older Adults. Valencia Region, Spain, 2018/2019 Season. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:ijerph18031129. [PMID: 33514058 PMCID: PMC7908304 DOI: 10.3390/ijerph18031129] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/28/2020] [Revised: 01/20/2021] [Accepted: 01/23/2021] [Indexed: 12/29/2022]
Abstract
Influenza vaccination is annually recommended for specific populations at risk, such as older adults. We estimated the 2018/2019 influenza vaccine effectiveness (IVE) overall, by influenza subtype, type of vaccine, and by time elapsed since vaccination among subjects 65 years old or over in a multicenter prospective study in the Valencia Hospital Surveillance Network for the Study of Influenza and other Respiratory Viruses (VAHNSI, Spain). Information about potential confounders was obtained from clinical registries and/or by interviewing patients and vaccination details were only ascertained by registries. A test-negative design was performed in order to estimate IVE. As a result, IVE was estimated at 46% (95% confidence interval (CI): (16%, 66%)), 41% (95% CI: (−34%, 74%)), and 45% (95% CI: (7%, 67%)) against overall influenza, A(H1N1)pdm09 and A(H3N2), respectively. An intra-seasonal not relevant waning effect was detected. The IVE for the adjuvanted vaccine in ≥75 years old was 45% (2%, 69%) and for the non-adjuvanted vaccine in 65–74 years old was 59% (−16%, 86%). Thus, our data revealed moderate vaccine effectiveness against influenza A(H3N2) and not significant against A(H1N1)pdm09. Significant protection was conferred by the adjuvanted vaccine to patients ≥75 years old. Moreover, an intra-seasonal not relevant waning effect was detected, and a not significant IVE decreasing trend was observed over time.
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Affiliation(s)
- Ainara Mira-Iglesias
- Fundación Para el Fomento de la Investigación Sanitaria y Biomédica de la Comunitat Valenciana (FISABIO-Public Health), 46020 Valencia, Spain; (F.X.L.-L.); (J.G.-R.); (B.M.-C.); (J.P.-B.); (J.D.-D.)
- Correspondence:
| | - F. Xavier López-Labrador
- Fundación Para el Fomento de la Investigación Sanitaria y Biomédica de la Comunitat Valenciana (FISABIO-Public Health), 46020 Valencia, Spain; (F.X.L.-L.); (J.G.-R.); (B.M.-C.); (J.P.-B.); (J.D.-D.)
- Consorcio de Investigación Biomédica de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, 28029 Madrid, Spain
| | - Javier García-Rubio
- Fundación Para el Fomento de la Investigación Sanitaria y Biomédica de la Comunitat Valenciana (FISABIO-Public Health), 46020 Valencia, Spain; (F.X.L.-L.); (J.G.-R.); (B.M.-C.); (J.P.-B.); (J.D.-D.)
| | - Beatriz Mengual-Chuliá
- Fundación Para el Fomento de la Investigación Sanitaria y Biomédica de la Comunitat Valenciana (FISABIO-Public Health), 46020 Valencia, Spain; (F.X.L.-L.); (J.G.-R.); (B.M.-C.); (J.P.-B.); (J.D.-D.)
| | | | | | - Mario Carballido-Fernández
- Hospital General Universitario de Castellón, 12004 Castellón, Spain;
- Departamento Medicina, Universidad CEU Cardenal Herrera, 12006 Castellón, Spain
| | | | - Joan Puig-Barberà
- Fundación Para el Fomento de la Investigación Sanitaria y Biomédica de la Comunitat Valenciana (FISABIO-Public Health), 46020 Valencia, Spain; (F.X.L.-L.); (J.G.-R.); (B.M.-C.); (J.P.-B.); (J.D.-D.)
- Centro de Salud Pública de Castellón, 12003 Castellón, Spain
| | - Javier Díez-Domingo
- Fundación Para el Fomento de la Investigación Sanitaria y Biomédica de la Comunitat Valenciana (FISABIO-Public Health), 46020 Valencia, Spain; (F.X.L.-L.); (J.G.-R.); (B.M.-C.); (J.P.-B.); (J.D.-D.)
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21
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Characterizing genetic and antigenic divergence from vaccine strain of influenza A and B viruses circulating in Thailand, 2017-2020. Sci Rep 2021; 11:735. [PMID: 33437008 PMCID: PMC7803983 DOI: 10.1038/s41598-020-80895-w] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2020] [Accepted: 12/30/2020] [Indexed: 01/29/2023] Open
Abstract
We monitored the circulating strains and genetic variation among seasonal influenza A and B viruses in Thailand between July 2017 and March 2020. The hemagglutinin gene was amplified and sequenced. We identified amino acid (AA) changes and computed antigenic relatedness using the Pepitope model. Phylogenetic analyses revealed multiple clades/subclades of influenza A(H1N1)pdm09 and A(H3N2) were circulating simultaneously and evolved away from their vaccine strain, but not the influenza B virus. The predominant circulating strains of A(H1N1)pdm09 belonged to 6B.1A1 (2017-2018) and 6B.1A5 (2019-2020) with additional AA substitutions. Clade 3C.2a1b and 3C.2a2 viruses co-circulated in A(H3N2) and clade 3C.3a virus was found in 2020. The B/Victoria-like lineage predominated since 2019 with an additional three AA deletions. Antigenic drift was dominantly facilitated at epitopes Sa and Sb of A(H1N1)pdm09, epitopes A, B, D and E of A(H3N2), and the 120 loop and 190 helix of influenza B virus. Moderate computed antigenic relatedness was observed in A(H1N1)pdm09. The computed antigenic relatedness of A(H3N2) indicated a significant decline in 2019 (9.17%) and 2020 (- 18.94%) whereas the circulating influenza B virus was antigenically similar (94.81%) with its vaccine strain. Our findings offer insights into the genetic divergence from vaccine strains, which could aid vaccine updating.
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22
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Ferdinands JM, Gaglani M, Ghamande S, Martin ET, Middleton D, Monto AS, Silveira F, Talbot HK, Zimmerman R, Smith ER, Patel M. Vaccine Effectiveness Against Influenza-Associated Hospitalizations Among Adults, 2018-2019, US Hospitalized Adult Influenza Vaccine Effectiveness Network. J Infect Dis 2020; 224:151-163. [PMID: 33336702 DOI: 10.1093/infdis/jiaa772] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2020] [Accepted: 12/14/2020] [Indexed: 01/18/2023] Open
Abstract
We estimated vaccine effectiveness (VE) for prevention of influenza-associated hospitalizations among adults during the 2018-2019 influenza season. Adults admitted with acute respiratory illness to 14 hospitals of the US Hospitalized Adult Influenza Vaccine Effectiveness Network (HAIVEN) and testing positive for influenza were cases; patients testing negative were controls. VE was estimated using logistic regression and inverse probability of treatment weighting. We analyzed data from 2863 patients with a mean age of 63 years. Adjusted VE against influenza A(H1N1)pdm09-associated hospitalization was 51% (95% confidence interval [CI], 25%-68%). Adjusted VE against influenza A(H3N2) virus-associated hospitalization was -2% (95% CI, -65% to 37%) and differed significantly by age, with VE of -130% (95% CI, -374% to -27%) among adults 18 to ≤56 years of age. Although vaccination halved the risk of influenza A(H1N1)pdm09-associated hospitalizations, it conferred no protection against influenza A(H3N2)-associated hospitalizations. We observed negative VE for young and middle-aged adults but cannot exclude residual confounding as a potential explanation.
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Affiliation(s)
- Jill M Ferdinands
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | | | | | - Emily T Martin
- University of Michigan School of Public Health, Ann Arbor, Michigan, USA
| | - Donald Middleton
- University of Pittsburgh Medical Center; Pittsburgh, Pennsylvania, USA
| | - Arnold S Monto
- University of Michigan School of Public Health, Ann Arbor, Michigan, USA
| | - Fernanda Silveira
- University of Pittsburgh Medical Center; Pittsburgh, Pennsylvania, USA
| | - Helen K Talbot
- Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Richard Zimmerman
- University of Pittsburgh Medical Center; Pittsburgh, Pennsylvania, USA
| | - Emily R Smith
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Manish Patel
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
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23
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Wieczorek K, Szutkowska B, Kierzek E. Anti-Influenza Strategies Based on Nanoparticle Applications. Pathogens 2020; 9:E1020. [PMID: 33287259 PMCID: PMC7761763 DOI: 10.3390/pathogens9121020] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2020] [Revised: 11/30/2020] [Accepted: 12/01/2020] [Indexed: 02/07/2023] Open
Abstract
Influenza virus has the potential for being one of the deadliest viruses, as we know from the pandemic's history. The influenza virus, with a constantly mutating genome, is becoming resistant to existing antiviral drugs and vaccines. For that reason, there is an urgent need for developing new therapeutics and therapies. Despite the fact that a new generation of universal vaccines or anti-influenza drugs are being developed, the perfect remedy has still not been found. In this review, various strategies for using nanoparticles (NPs) to defeat influenza virus infections are presented. Several categories of NP applications are highlighted: NPs as immuno-inducing vaccines, NPs used in gene silencing approaches, bare NPs influencing influenza virus life cycle and the use of NPs for drug delivery. This rapidly growing field of anti-influenza methods based on nanotechnology is very promising. Although profound research must be conducted to fully understand and control the potential side effects of the new generation of antivirals, the presented and discussed studies show that nanotechnology methods can effectively induce the immune responses or inhibit influenza virus activity both in vitro and in vivo. Moreover, with its variety of modification possibilities, nanotechnology has great potential for applications and may be helpful not only in anti-influenza but also in the general antiviral approaches.
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Affiliation(s)
- Klaudia Wieczorek
- Institute of Bioorganic Chemistry, Polish Academy of Sciences, 61-704 Poznan, Poland; (K.W.); (B.S.)
- NanoBioMedical Centre, Adam Mickiewicz University, 61-704 Poznan, Poland
| | - Barbara Szutkowska
- Institute of Bioorganic Chemistry, Polish Academy of Sciences, 61-704 Poznan, Poland; (K.W.); (B.S.)
| | - Elzbieta Kierzek
- Institute of Bioorganic Chemistry, Polish Academy of Sciences, 61-704 Poznan, Poland; (K.W.); (B.S.)
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24
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Izurieta HS, Lu M, Kelman J, Lu Y, Lindaas A, Loc J, Pratt D, Wei Y, Chillarige Y, Wernecke M, MaCurdy TE, Forshee R. Comparative effectiveness of influenza vaccines among U.S. Medicare beneficiaries ages 65 years and older during the 2019-20 season. Clin Infect Dis 2020; 73:e4251-e4259. [PMID: 33211809 DOI: 10.1093/cid/ciaa1727] [Citation(s) in RCA: 43] [Impact Index Per Article: 8.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2020] [Accepted: 11/12/2020] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND Around 50,000 influenza-associated deaths occur annually in the U.S., overwhelmingly among individuals ages >65 years. Although vaccination is the primary prevention tool, investigations have shown low vaccine effectiveness (VE) in recent years, particularly among the elderly. We analyzed the relative VE (RVE) of all influenza vaccines among Medicare beneficiaries ages >65 years to prevent influenza hospital encounters during the 2019-20 season. METHODS Retrospective cohort study using Poisson regression and inverse probability of treatment weighting (IPTW). Exposures included egg-based high-dose trivalent (HD-IIV3), egg-based adjuvanted trivalent (aIIV3), egg-based standard dose (SD) quadrivalent (IIV4), cell-based SD quadrivalent (cIIV4), and recombinant quadrivalent (RIV4) influenza vaccines. RESULTS We studied 12.7 million vaccinated beneficiaries. Following IPTW, cohorts were well balanced for all covariates and health-seeking behavior indicators. In the adjusted analysis, RIV4 (RVE 13.3%, 95% CI 7.4%, 18.9%), aIIV3 (RVE 8.2%, 95% CI 4.2%, 12.0%), and HD-IIV3 (RVE 6.8%, 95% CI 3.3%, 10.1%) were significantly more effective in preventing hospital encounters than the reference egg-based SD IIV4, while cIIV4 was not significantly more effective than IIV4 (RVE 2.8%, 95% CI -2.8%, 8.2%). Our results were consistent across all analyses. CONCLUSIONS In this influenza B-Victoria and A(H1N1)-dominated season, RIV4 was moderately more effective than other vaccines, while the HD-IIV3 and aIIV3 were more effective than the IIV4 vaccines, highlighting the contributions of antigen amount and adjuvant use to VE. Egg adaptation likely did not substantially affect our RVE evaluation. Our findings, specific to the 2019-20 season, should be evaluated in other studies using virological case confirmation.
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Affiliation(s)
- Hector S Izurieta
- Center for Biologics Evaluation and Research, Food and Drug Administration, Silver Spring, MD, USA
| | | | - Jeffrey Kelman
- Centers for Medicare & Medicaid Services, Washington, DC, USA
| | - Yun Lu
- Center for Biologics Evaluation and Research, Food and Drug Administration, Silver Spring, MD, USA
| | | | | | - Douglas Pratt
- Center for Biologics Evaluation and Research, Food and Drug Administration, Silver Spring, MD, USA
| | | | | | | | - Thomas E MaCurdy
- Acumen LLC, Burlingame, CA, USA.,Stanford University Department of Economics, Stanford, CA, USA
| | - Richard Forshee
- Center for Biologics Evaluation and Research, Food and Drug Administration, Silver Spring, MD, USA
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25
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Tsuzuki S, Ishikane M, Matsunaga N, Morioka S, Yu J, Inagaki T, Yamamoto M, Ohmagari N. Interim 2019/2020 Influenza Vaccine Effectiveness in Japan from October 2019 to January 2020. Jpn J Infect Dis 2020; 74:175-179. [PMID: 32999182 DOI: 10.7883/yoken.jjid.2020.177] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Herein, we report the interim vaccine effectiveness (VE) of a quadrivalent inactivated influenza vaccine, during the 2019/2020 influenza season, in Japan. We conducted a retrospective observational cohort study of 381 patients aged ≥15 years, who were enrolled with influenza like illnesses and examined via the rapid influenza diagnostic test, at the Ambulatory Care unit of the National Center for Global Health and Medicine in Tokyo, Japan, from the beginning of October 2019 to the end of January 2020. VE was estimated using a test-negative design. VE was calculated as (1 - odds ratio) × 100%, comparing influenza A test positivity between vaccinated and unvaccinated patients. Of the 381 patients initially screened for inclusion, 314 were enrolled in the study. Of these, 105 were vaccinated, 98 were diagnosed with influenza A, and 5 were diagnosed with influenza B. Overall VE against influenza A was 27.6% (95% confidence interval [CI], ‒21.1 to +57.4), and in patients aged ≥65 years, it was 47.3% (95% CI, ‒76.0 to +86.0). This indicates that the influenza vaccination offered continued protection during the 2019/2020 influenza season, but a detailed analysis of more cases with a careful consideration of methodology is necessary to estimate VE more precisely.
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Affiliation(s)
- Shinya Tsuzuki
- AMR Clinical Reference Center, National Center for Global Health and Medicine, Japan.,Faculty of Medicine and Health Sciences, University of Antwerp, Belgium
| | - Masahiro Ishikane
- AMR Clinical Reference Center, National Center for Global Health and Medicine, Japan.,Disease Control and Prevention Center, National Center for Global Health and Medicine, Japan
| | - Nobuaki Matsunaga
- AMR Clinical Reference Center, National Center for Global Health and Medicine, Japan
| | - Shinichiro Morioka
- Disease Control and Prevention Center, National Center for Global Health and Medicine, Japan
| | - Jiefu Yu
- AMR Clinical Reference Center, National Center for Global Health and Medicine, Japan.,Disease Control and Prevention Center, National Center for Global Health and Medicine, Japan
| | - Takeshi Inagaki
- General Internal Medicine, National Center for Global Health and Medicine, Japan.,Department of Emergency Medicine and Critical Care, National Center for Global Health and Medicine, Japan
| | - Makiko Yamamoto
- Department of Emergency Medicine and Critical Care, National Center for Global Health and Medicine, Japan
| | - Norio Ohmagari
- AMR Clinical Reference Center, National Center for Global Health and Medicine, Japan.,Disease Control and Prevention Center, National Center for Global Health and Medicine, Japan
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26
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Sasaki E, Hamaguchi I, Mizukami T. Pharmacodynamic and safety considerations for influenza vaccine and adjuvant design. Expert Opin Drug Metab Toxicol 2020; 16:1051-1061. [PMID: 32772723 DOI: 10.1080/17425255.2020.1807936] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
Abstract
INTRODUCTION A novel adjuvant evaluation system for safety and immunogenicity is needed. Vaccination is important for infection prevention, for example, from influenza viruses. Adjuvants are considered critical for improving the effectiveness of influenza vaccines. Adjuvant development is an important issue in influenza vaccine design. AREAS COVERED A conventional in vivo evaluation method for vaccine safety has been limited in analyzing phenotypic and pathological changes. Therefore, it is difficult to obtain information on the changes at the molecular level. This review aims to explain the recently developed genomics analysis-based vaccine adjuvant safety evaluation tools verified by AddaVaxTM and polyinosinic-polycytidylic acid (poly I:C) using 18 biomarker genes and whole-virion inactivated influenza vaccine as a toxicity control. Genomics analyzes would help provide safety and efficacy information regarding influenza vaccine design by facilitating appropriate adjuvant selection. EXPERT OPINION The efficacy and safety profiles of influenza vaccines and adjuvants using genomics technologies provide useful information regarding immunogenicity, which is related to safety and efficacy. This approach provides important information to select appropriate inoculation routes, combinations of vaccine antigens and adjuvants, and dosing amounts. The efficacy of vaccine adjuvant evaluation by genomics analysis should be verified by various studies using various vaccines in the future.
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Affiliation(s)
- Eita Sasaki
- Department of Safety Research on Blood and Biological Products, National Institute of Infectious Diseases , Tokyo, Japan
| | - Isao Hamaguchi
- Department of Safety Research on Blood and Biological Products, National Institute of Infectious Diseases , Tokyo, Japan
| | - Takuo Mizukami
- Department of Safety Research on Blood and Biological Products, National Institute of Infectious Diseases , Tokyo, Japan
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27
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Stuurman AL, Bollaerts K, Alexandridou M, Biccler J, Díez Domingo J, Nohynek H, Rizzo C, Turunen T, Riera-Montes M. Vaccine effectiveness against laboratory-confirmed influenza in Europe - Results from the DRIVE network during season 2018/19. Vaccine 2020; 38:6455-6463. [PMID: 32778474 DOI: 10.1016/j.vaccine.2020.07.063] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2020] [Revised: 07/20/2020] [Accepted: 07/28/2020] [Indexed: 10/23/2022]
Abstract
The DRIVE project aims to establish a sustainable network to estimate brand-specific influenza vaccine effectiveness (IVE) annually. DRIVE is a public-private partnership launched in response to EMA guidance that requires effectiveness evaluation from manufacturers for all individual influenza vaccine brands every season. IVE studies are conducted by public partners in DRIVE. Private partners (vaccine manufacturers from the European Federation of Pharmaceutical Industries and Association (EFPIA)) provide written feedback moderated by an independent scientific committee. Test-negative design (TND) case-control studies (4 in primary care and five in hospital) were conducted in six countries in Europe during the 2018/19 season. Site-specific confounder-adjusted vaccine effectiveness (VE) estimates for any vaccine exposure were calculated by age group (<18 years (y), 18-64y and 65 + y) and pooled by setting (primary care, hospital) through random effects meta-analysis. In addition, one population-based cohort study was conducted in Finland. TND studies included 3339 cases and 6012 controls; seven vaccine brands were reported. For ages 65 + y, pooled VE against any influenza strain was estimated at 27% (95%CI 6-44) in hospital setting. Sample size was insufficient for meaningful IVE estimates in other age groups, in the primary care setting, or by vaccine brand. The population-based cohort study included 274,077 vaccinated and 494,337 unvaccinated person-years, two vaccine brands were reported. Brand-specific IVE was estimated for Fluenz Tetra (36% [95%CI 24-45]) for ages 2-6y, Vaxigrip Tetra (54% [43-62]) for ages 6 months to 6y, and Vaxigrip Tetra (30% [25-35]) for ages 65 + y. The results presented are from the second influenza season covered by the DRIVE network. While sample size from the pooled TND studies was still too low for precise (brand-specific) IVE estimates, the network has approximately doubled in size compared to the pilot season. Taking measures to increase sample size is an important focus of DRIVE for the coming years.
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Affiliation(s)
| | | | | | - Jorne Biccler
- P95 Pharmacovigilance and Epidemiology, Leuven, Belgium
| | | | - Hanna Nohynek
- Finnish Institute for Health and Welfare, Helsinki, Finland
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28
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Kissling E, Pozo F, Buda S, Vilcu AM, Gherasim A, Brytting M, Domegan L, Gómez V, Meijer A, Lazar M, Vučina VV, Dürrwald R, van der Werf S, Larrauri A, Enkirch T, O'Donnell J, Guiomar R, Hooiveld M, Petrović G, Stoian E, Penttinen P, Valenciano M. Low 2018/19 vaccine effectiveness against influenza A(H3N2) among 15-64-year-olds in Europe: exploration by birth cohort. ACTA ACUST UNITED AC 2020; 24. [PMID: 31796152 PMCID: PMC6891946 DOI: 10.2807/1560-7917.es.2019.24.48.1900604] [Citation(s) in RCA: 34] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
Abstract
Introduction Influenza A(H3N2) clades 3C.2a and 3C.3a co-circulated in Europe in 2018/19. Immunological imprinting by first childhood influenza infection may induce future birth cohort differences in vaccine effectiveness (VE). Aim The I-MOVE multicentre primary care test-negative study assessed 2018/19 influenza A(H3N2) VE by age and genetic subgroups to explore VE by birth cohort. Methods We measured VE against influenza A(H3N2) and (sub)clades. We stratified VE by usual age groups (0–14, 15–64, ≥ 65-years). To assess the imprint-regulated effect of vaccine (I-REV) hypothesis, we further stratified the middle-aged group, notably including 32–54-year-olds (1964–86) sharing potential childhood imprinting to serine at haemagglutinin position 159. Results Influenza A(H3N2) VE among all ages was −1% (95% confidence interval (CI): −24 to 18) and 46% (95% CI: 8–68), −26% (95% CI: −66 to 4) and 20% (95% CI: −20 to 46) among 0–14, 15–64 and ≥ 65-year-olds, respectively. Among 15–64-year-olds, VE against clades 3C.2a1b and 3C.3a was 15% (95% CI: −34 to 50) and −74% (95% CI: −259 to 16), respectively. VE was −18% (95% CI: −140 to 41), −53% (95% CI: −131 to −2) and −12% (95% CI: −74 to 28) among 15–31-year-olds (1987–2003), 32–54-year-olds (1964–86) and 55–64-year-olds (1954–63), respectively. Discussion The lowest 2018/19 influenza A(H3N2) VE was against clade 3C.3a and among those born 1964–86, corresponding to the I-REV hypothesis. The low influenza A(H3N2) VE in 15–64-year-olds and the public health impact of the I-REV hypothesis warrant further study.
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Affiliation(s)
| | - Francisco Pozo
- National Centre for Microbiology, National Influenza Reference Laboratory, WHO-National Influenza Centre, Institute of Health Carlos III, Madrid, Spain
| | - Silke Buda
- Robert Koch Institute, Department of Infectious Disease Epidemiology, Respiratory Infections Unit, Berlin, Germany
| | - Ana-Maria Vilcu
- Sorbonne Université, INSERM, Institut Pierre Louis d'épidémiologie et de Santé Publique (IPLESP UMRS 1136), Paris, France
| | - Alin Gherasim
- CIBER de Epidemiología y Salud Pública (CIBERESP), Institute of Health Carlos III, Madrid, Spain.,National Epidemiology Centre, Institute of Health Carlos III, Madrid, Spain
| | - Mia Brytting
- Public Health Agency of Sweden, Stockholm, Sweden
| | - Lisa Domegan
- European Programme for Intervention Epidemiology Training (EPIET), European Centre for Disease Prevention and Control (ECDC), Stockholm, Sweden.,Health Service Executive- Health Protection Surveillance Centre, Dublin, Ireland
| | - Verónica Gómez
- Departamento de Epidemiologia, Instituto Nacional de Saúde Dr. Ricardo Jorge, Lisbon, Portugal
| | - Adam Meijer
- National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands
| | - Mihaela Lazar
- "Cantacuzino" National Military-Medical Institute for Research and Development, Bucharest, Romania
| | - Vesna Višekruna Vučina
- Croatian Institute of Public Health, Division for epidemiology of communicable diseases, Zagreb, Croatia
| | - Ralf Dürrwald
- Robert Koch Institute, National Reference Center for Influenza, Germany
| | - Sylvie van der Werf
- CNR des virus des infections respiratoires, WHO National Influenza Center, Institut Pasteur, Paris, France.,Unité de Génétique Moléculaire des Virus à ARN, Institut Pasteur, CNRS UMR3569, Université Paris Diderot SPC, France
| | - Amparo Larrauri
- CIBER de Epidemiología y Salud Pública (CIBERESP), Institute of Health Carlos III, Madrid, Spain.,National Epidemiology Centre, Institute of Health Carlos III, Madrid, Spain
| | | | - Joan O'Donnell
- Health Service Executive- Health Protection Surveillance Centre, Dublin, Ireland
| | - Raquel Guiomar
- Departamento de Doenças Infeciosas, Instituto Nacional de Saúde Dr. Ricardo Jorge, Lisbon, Portugal
| | - Mariëtte Hooiveld
- Nivel (Netherlands Institute for Health Services Research), Utrecht, the Netherlands
| | - Goranka Petrović
- Croatian Institute of Public Health, Division for epidemiology of communicable diseases, Zagreb, Croatia
| | - Elena Stoian
- "Cantacuzino" National Military-Medical Institute for Research and Development, Bucharest, Romania
| | - Pasi Penttinen
- European Centre for Disease Prevention and Control (ECDC), Stockholm, Sweden
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- The I-MOVE primary care study team members are listed at the end of the article
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29
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Melidou A, Hungnes O, Pereyaslov D, Adlhoch C, Segaloff H, Robesyn E, Penttinen P, Olsen SJ. Predominance of influenza virus A(H3N2) 3C.2a1b and A(H1N1)pdm09 6B.1A5A genetic subclades in the WHO European Region, 2018-2019. Vaccine 2020; 38:5707-5717. [PMID: 32624252 DOI: 10.1016/j.vaccine.2020.06.031] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2019] [Revised: 06/05/2020] [Accepted: 06/09/2020] [Indexed: 10/23/2022]
Abstract
BACKGROUND The 2018/2019 influenza season in the WHO European Region was dominated by influenza A (H1N1)pdm09 and (H3N2) viruses, with very few influenza B viruses detected. METHODS Countries in the European Region reported virus characterization data to The European Surveillance System for weeks 40/2018 to 20/2019. These virus antigenic and genetic characterization and haemagglutinin (HA) sequence data were analysed to describe and assess circulating viruses relative to the 2018/2019 vaccine virus components for the northern hemisphere. RESULTS Thirty countries reported 4776 viruses characterized genetically and 3311 viruses antigenically. All genetically characterized A(H1N1)pdm09 viruses fell in subclade 6B.1A, of which 90% carried the amino acid substitution S183P in the HA gene. Antigenic data indicated that circulating A(H1N1)pdm09 viruses were similar to the 2018/2019 vaccine virus. Genetic data showed that A(H3N2) viruses mostly fell in clade 3C.2a (75%) and 90% of which were subclade 3C.2a1b. A lower proportion fell in clade 3C.3a (23%) and were antigenically distinct from the vaccine virus. All B/Victoria viruses belonged to clade 1A; 30% carried a double amino acid deletion in HA and were genetically and antigenically similar to the vaccine virus component, while 55% carried a triple amino acid deletion or no deletion in HA; these were antigenically distinct from each other and from the vaccine component. All B/Yamagata viruses belonged to clade 3 and were antigenically similar to the virus component in the quadrivalent vaccine for 2018/2019. CONCLUSIONS A simultaneous circulation of genetically and antigenically diverse A(H3N2) and B/Victoria viruses was observed and represented a challenge to vaccine strain selection.
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Affiliation(s)
- Angeliki Melidou
- European Centre for Disease Prevention and Control (ECDC), Stockholm, Sweden.
| | - Olav Hungnes
- Norwegian Institute of Public Health, Oslo, Norway
| | | | - Cornelia Adlhoch
- European Centre for Disease Prevention and Control (ECDC), Stockholm, Sweden
| | | | - Emmanuel Robesyn
- European Centre for Disease Prevention and Control (ECDC), Stockholm, Sweden
| | - Pasi Penttinen
- European Centre for Disease Prevention and Control (ECDC), Stockholm, Sweden
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30
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Rizzo C, Gesualdo F, Loconsole D, Pandolfi E, Bella A, Orsi A, Guarona G, Panatto D, Icardi G, Napoli C, Orsi GB, Manini I, Montomoli E, Campagna I, Russo L, Alfonsi V, Puzelli S, Reale A, Raucci U, Piccioni L, Concato C, Ciofi Degli Atti ML, Villani A, Chironna M, Tozzi AE. Moderate Vaccine Effectiveness against Severe Acute Respiratory Infection Caused by A(H1N1)pdm09 Influenza Virus and No Effectiveness against A(H3N2) Influenza Virus in the 2018/2019 Season in Italy. Vaccines (Basel) 2020; 8:vaccines8030427. [PMID: 32751584 PMCID: PMC7564262 DOI: 10.3390/vaccines8030427] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2020] [Revised: 07/26/2020] [Accepted: 07/28/2020] [Indexed: 01/05/2023] Open
Abstract
Every season, circulating influenza viruses change; therefore, vaccines must be reformulated each year. We aimed to estimate vaccine effectiveness (VE) against severe influenza infection for the 2018/19 season in Italy. We conducted a test-negative design case-control study at five Italian hospitals. We estimated influenza VE against severe acute respiratory infection (SARI) requiring hospitalisation overall, and by virus subtype, vaccine brand, and age. The 2018/19 season was characterised by A(H1N1)pmd09 and A(H3N2) influenza viruses. Vaccine coverage among <18 years recruited SARI cases was very low (3.2%). Seasonal vaccines were moderately effective against type A influenza overall (adjusted VE = 40.5%; 95% confidence interval (CI) = 18.7–56.4%) and subtype A(H1N1)pmd09 viruses (adjusted VE = 55%; 95% CI = 34.5–69.1%), but ineffective against subtype A(H3N2) viruses (adjusted VE = 2.5%; 95% CI = −50.0–36.7%). Both Fluad and Fluarix Tetra vaccines were effective against type A influenza overall and subtype A(H1N1)pdm09 viruses. VE appeared to be similar across age groups (0–64 years, ≥65 years). Seasonal influenza vaccines in the 2018/19 season were moderately effective in preventing SARI caused by A(H1N1)pdm09 influenza but ineffective against A(H3N2).
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Affiliation(s)
- Caterina Rizzo
- IRCCS, Bambino Gesù Children’s Hospital, 00165 Rome, Italy; (F.G.); (E.P.); (I.C.); (L.R.); (A.R.); (U.R.); (L.P.); (C.C.); (M.L.C.D.A.); (A.V.); (A.E.T.)
- Correspondence:
| | - Francesco Gesualdo
- IRCCS, Bambino Gesù Children’s Hospital, 00165 Rome, Italy; (F.G.); (E.P.); (I.C.); (L.R.); (A.R.); (U.R.); (L.P.); (C.C.); (M.L.C.D.A.); (A.V.); (A.E.T.)
| | - Daniela Loconsole
- Department of Biomedical Science and Medical, Oncology of the University of Bari, 70120 Bari, Italy; (D.L.); (M.C.)
| | - Elisabetta Pandolfi
- IRCCS, Bambino Gesù Children’s Hospital, 00165 Rome, Italy; (F.G.); (E.P.); (I.C.); (L.R.); (A.R.); (U.R.); (L.P.); (C.C.); (M.L.C.D.A.); (A.V.); (A.E.T.)
| | - Antonino Bella
- Department of Infectious Diseases, National Institute of Health, 00161 Rome, Italy; (A.B.); (S.P.)
| | - Andrea Orsi
- IRCCS University Hospital San Martino, 16100 Genoa, Italy; (A.O.); (G.G.); (D.P.); (G.I.)
| | - Giulia Guarona
- IRCCS University Hospital San Martino, 16100 Genoa, Italy; (A.O.); (G.G.); (D.P.); (G.I.)
| | - Donatella Panatto
- IRCCS University Hospital San Martino, 16100 Genoa, Italy; (A.O.); (G.G.); (D.P.); (G.I.)
| | - Giancarlo Icardi
- IRCCS University Hospital San Martino, 16100 Genoa, Italy; (A.O.); (G.G.); (D.P.); (G.I.)
| | - Christian Napoli
- Department of Medical-Surgical Sciences and Translational Medicine, University of Rome “Sapienza”, 00185 Rome, Italy;
| | - Giovanni Battista Orsi
- Department of Public Health and Infectious Diseases, Sapienza University of Rome, 00185 Rome, Italy; (G.B.O.); (I.M.)
| | - Ilaria Manini
- Department of Public Health and Infectious Diseases, Sapienza University of Rome, 00185 Rome, Italy; (G.B.O.); (I.M.)
- Department of Molecular and Developmental Medicine, University of Siena, 53100 Siena, Italy;
| | - Emanuele Montomoli
- Department of Molecular and Developmental Medicine, University of Siena, 53100 Siena, Italy;
- Vaccine Assessment VisMederi Srl, 53100 Siena, Italy
| | - Ilaria Campagna
- IRCCS, Bambino Gesù Children’s Hospital, 00165 Rome, Italy; (F.G.); (E.P.); (I.C.); (L.R.); (A.R.); (U.R.); (L.P.); (C.C.); (M.L.C.D.A.); (A.V.); (A.E.T.)
| | - Luisa Russo
- IRCCS, Bambino Gesù Children’s Hospital, 00165 Rome, Italy; (F.G.); (E.P.); (I.C.); (L.R.); (A.R.); (U.R.); (L.P.); (C.C.); (M.L.C.D.A.); (A.V.); (A.E.T.)
| | - Valeria Alfonsi
- Medical Direction, University Hospital Sant’Andrea, 00189 Rome, Italy;
| | - Simona Puzelli
- Department of Infectious Diseases, National Institute of Health, 00161 Rome, Italy; (A.B.); (S.P.)
| | - Antonino Reale
- IRCCS, Bambino Gesù Children’s Hospital, 00165 Rome, Italy; (F.G.); (E.P.); (I.C.); (L.R.); (A.R.); (U.R.); (L.P.); (C.C.); (M.L.C.D.A.); (A.V.); (A.E.T.)
| | - Umberto Raucci
- IRCCS, Bambino Gesù Children’s Hospital, 00165 Rome, Italy; (F.G.); (E.P.); (I.C.); (L.R.); (A.R.); (U.R.); (L.P.); (C.C.); (M.L.C.D.A.); (A.V.); (A.E.T.)
| | - Livia Piccioni
- IRCCS, Bambino Gesù Children’s Hospital, 00165 Rome, Italy; (F.G.); (E.P.); (I.C.); (L.R.); (A.R.); (U.R.); (L.P.); (C.C.); (M.L.C.D.A.); (A.V.); (A.E.T.)
| | - Carlo Concato
- IRCCS, Bambino Gesù Children’s Hospital, 00165 Rome, Italy; (F.G.); (E.P.); (I.C.); (L.R.); (A.R.); (U.R.); (L.P.); (C.C.); (M.L.C.D.A.); (A.V.); (A.E.T.)
| | - Marta Luisa Ciofi Degli Atti
- IRCCS, Bambino Gesù Children’s Hospital, 00165 Rome, Italy; (F.G.); (E.P.); (I.C.); (L.R.); (A.R.); (U.R.); (L.P.); (C.C.); (M.L.C.D.A.); (A.V.); (A.E.T.)
| | - Alberto Villani
- IRCCS, Bambino Gesù Children’s Hospital, 00165 Rome, Italy; (F.G.); (E.P.); (I.C.); (L.R.); (A.R.); (U.R.); (L.P.); (C.C.); (M.L.C.D.A.); (A.V.); (A.E.T.)
| | - Maria Chironna
- Department of Biomedical Science and Medical, Oncology of the University of Bari, 70120 Bari, Italy; (D.L.); (M.C.)
| | - Alberto Eugenio Tozzi
- IRCCS, Bambino Gesù Children’s Hospital, 00165 Rome, Italy; (F.G.); (E.P.); (I.C.); (L.R.); (A.R.); (U.R.); (L.P.); (C.C.); (M.L.C.D.A.); (A.V.); (A.E.T.)
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Trebbien R, Koch A, Nielsen L, Kur DK, Westerström P, Krause TG. A case of reassortant seasonal influenza A(H1N2) virus, Denmark, April 2019. ACTA ACUST UNITED AC 2020; 24. [PMID: 31290388 PMCID: PMC6628757 DOI: 10.2807/1560-7917.es.2019.24.27.1900406] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
A reassortant influenza A subtype H1N2 virus with gene segments from seasonal A(H1N1)pdm09 virus (HA, MP, NP, NS, PA, PB1 and PB2) and seasonal A(H3N2) virus (NA) was identified in a routine surveillance sample in Denmark. The patient recovered fully. This is the second reassortant influenza A(H1N2) virus identified in Europe in the 2018/19 influenza season, with the first case being detected December 2018 in Sweden.
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Affiliation(s)
- Ramona Trebbien
- National Influenza Center, Statens Serum Institut, Copenhagen, Denmark
| | - Anders Koch
- Department of Infectious Disease Epidemiology and Prevention, Statens Serum Institut, Copenhagen, Denmark.,Department of Infectious Diseases, Rigshospitalet University Hospital, Copenhagen, Denmark
| | - Lene Nielsen
- Department of Clinical Microbiology, Herlev Hospital, Copenhagen University, Herlev, Denmark
| | - Dår Kristian Kur
- Department of Clinical Biochemistry, North Zealand Hospital, Hillerød, Denmark
| | - Pontus Westerström
- Department of Pulmonary and Infectious Diseases, North Zealand Hospital, Hillerød, Denmark
| | - Tyra Grove Krause
- Department of Infectious Disease Epidemiology and Prevention, Statens Serum Institut, Copenhagen, Denmark
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32
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Skowronski DM, Leir S, De Serres G, Murti M, Dickinson JA, Winter AL, Olsha R, Croxen MA, Drews SJ, Charest H, Martineau C, Sabaiduc S, Bastien N, Li Y, Petric M, Jassem A, Krajden M, Gubbay JB. Children under 10 years of age were more affected by the 2018/19 influenza A(H1N1)pdm09 epidemic in Canada: possible cohort effect following the 2009 influenza pandemic. ACTA ACUST UNITED AC 2020; 24. [PMID: 30994107 PMCID: PMC6470369 DOI: 10.2807/1560-7917.es.2019.24.15.1900104] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
Introduction Findings from the community-based Canadian Sentinel Practitioner Surveillance Network (SPSN) suggest children were more affected by the 2018/19 influenza A(H1N1)pdm09 epidemic. Aim To compare the age distribution of A(H1N1)pdm09 cases in 2018/19 to prior seasonal influenza epidemics in Canada. Methods The age distribution of unvaccinated influenza A(H1N1)pdm09 cases and test-negative controls were compared across A(H1N1)pdm09-dominant epidemics in 2018/19, 2015/16 and 2013/14 and with the general population of SPSN provinces. Similar comparisons were undertaken for influenza A(H3N2)-dominant epidemics. Results In 2018/19, more influenza A(H1N1)pdm09 cases were under 10 years old than controls (29% vs 16%; p < 0.001). In particular, children aged 5–9 years comprised 14% of cases, greater than their contribution to controls (4%) or the general population (5%) and at least twice their contribution in 2015/16 (7%; p < 0.001) or 2013/14 (5%; p < 0.001). Conversely, children aged 10–19 years (11% of the population) were under-represented among A(H1N1)pdm09 cases versus controls in 2018/19 (7% vs 12%; p < 0.001), 2015/16 (7% vs 13%; p < 0.001) and 2013/14 (9% vs 12%; p = 0.12). Conclusion Children under 10 years old contributed more to outpatient A(H1N1)pdm09 medical visits in 2018/19 than prior seasonal epidemics in Canada. In 2018/19, all children under 10 years old were born after the 2009 A(H1N1)pdm09 pandemic and therefore lacked pandemic-induced immunity. In addition, more than half those born after 2009 now attend school (i.e. 5–9-year-olds), a socio-behavioural context that may enhance transmission and did not apply during prior A(H1N1)pdm09 epidemics.
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Affiliation(s)
- Danuta M Skowronski
- University of British Columbia, Vancouver, Canada.,British Columbia Centre for Disease Control, Vancouver, Canada
| | - Siobhan Leir
- British Columbia Centre for Disease Control, Vancouver, Canada
| | - Gaston De Serres
- Centre Hospitalier Universitaire de Québec, Quebec, Canada.,Laval University, Quebec, Canada.,Institut National de Santé Publique du Québec, Quebec, Canada
| | - Michelle Murti
- University of Toronto, Toronto, Canada.,Public Health Ontario, Toronto, Canada
| | | | | | | | - Matthew A Croxen
- University of Alberta, Edmonton, Canada.,Provincial Laboratory for Public Health, Edmonton, Canada
| | - Steven J Drews
- University of Alberta, Edmonton, Canada.,Provincial Laboratory for Public Health, Edmonton, Canada
| | - Hugues Charest
- Institut National de Santé Publique du Québec, Quebec, Canada
| | | | - Suzana Sabaiduc
- British Columbia Centre for Disease Control, Vancouver, Canada
| | - Nathalie Bastien
- National Microbiology Laboratory, Public Health Agency of Canada, Winnipeg, Canada
| | - Yan Li
- National Microbiology Laboratory, Public Health Agency of Canada, Winnipeg, Canada
| | | | - Agatha Jassem
- University of British Columbia, Vancouver, Canada.,British Columbia Centre for Disease Control, Vancouver, Canada
| | - Mel Krajden
- University of British Columbia, Vancouver, Canada.,British Columbia Centre for Disease Control, Vancouver, Canada
| | - Jonathan B Gubbay
- University of Toronto, Toronto, Canada.,Public Health Ontario, Toronto, Canada
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33
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Maltezou HC, Asimakopoulos G, Stavrou S, Daskalakis G, Koutroumanis P, Sindos M, Theodora M, Katerelos P, Kostis E, Gavrili S, Kossyvakis A, Theodoridou M, Mentis A, Drakakis P, Loutradis D, Rodolakis A. Effectiveness of quadrivalent influenza vaccine in pregnant women and infants, 2018-2019. Vaccine 2020; 38:4625-4631. [PMID: 32402751 DOI: 10.1016/j.vaccine.2020.04.060] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2020] [Revised: 04/21/2020] [Accepted: 04/23/2020] [Indexed: 01/01/2023]
Abstract
Influenza is associated with an increased risk for serious illness, hospitalization and/or death in pregnant women and young infants. We prospectively studied the effectiveness of a quadrivalent inactivated influenza vaccine (QIV) in pregnant women and their infants during the 2018-2019 influenza season. A QIV was offered to pregnant women cared in a maternity hospital in Athens. Women were contacted weekly by telephone during the influenza season and PCR test was offered to women or infants who developed influenza-like illness (ILI). We studied 423 pregnant women and 446 infants. Unvaccinated pregnant women had a 7.5% probability to develop laboratory-confirmed influenza compared to 2.1% among vaccinated women (Odds ratio: 3.6; confidence intervals: 1.14-11.34, p-value = 0.029). Infants whose mothers were not vaccinated had a 7.9% probability to develop laboratory-confirmed influenza compared to 2.8% among infants of vaccinated mothers (Odds ratio = 2.849, confidence intervals: 0.892-9.102, p-value = 0.053). Cox regression analyses showed that QIV vaccination was significantly associated with a decreased probability for laboratory-confirmed influenza, ILI, healthcare seeking and hospitalization among pregnant women and a decreased probability for laboratory-confirmed influenza, healthcare seeking and prescription of antibiotics among infants. The effectiveness of QIV against laboratory-confirmed influenza was 72% among pregnant women and 64.5% among infants during the 2018-2019 influenza season. Vaccination of pregnant women with the QIV was associated with a lower risk for laboratory-confirmed influenza for them and their infants during the influenza season. Our findings strongly support the World Health Organization recommendations for vaccinating pregnant women against influenza.
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Affiliation(s)
- Helena C Maltezou
- Directorate of Epidemiological Surveillance and Interventions for Infectious Diseases, National Public Health Organization, Athens, Greece.
| | - George Asimakopoulos
- First Department of Gynecology and Obstetrics, National Kapodistrian University of Athens, Alexandra General Hospital, Athens, Greece
| | - Sofoklis Stavrou
- First Department of Gynecology and Obstetrics, National Kapodistrian University of Athens, Alexandra General Hospital, Athens, Greece
| | - George Daskalakis
- First Department of Gynecology and Obstetrics, National Kapodistrian University of Athens, Alexandra General Hospital, Athens, Greece
| | - Pelopidas Koutroumanis
- First Department of Gynecology and Obstetrics, National Kapodistrian University of Athens, Alexandra General Hospital, Athens, Greece
| | - Michael Sindos
- First Department of Gynecology and Obstetrics, National Kapodistrian University of Athens, Alexandra General Hospital, Athens, Greece
| | - Marianna Theodora
- First Department of Gynecology and Obstetrics, National Kapodistrian University of Athens, Alexandra General Hospital, Athens, Greece
| | - Panos Katerelos
- Directorate of Epidemiological Surveillance and Interventions for Infectious Diseases, National Public Health Organization, Athens, Greece
| | | | - Stavroula Gavrili
- Neonatal Intensive Care Unit, Alexandra General Hospital, Athens, Greece
| | - Athanassios Kossyvakis
- National Influenza Reference Laboratory of Southern Greece, Hellenic Pasteur Institute, Athens, Greece
| | - Maria Theodoridou
- First Department of Pediatrics, National Kapodistrian University of Athens, Aghia Sophia Children's Hospital, Athens, Greece
| | - Andreas Mentis
- National Influenza Reference Laboratory of Southern Greece, Hellenic Pasteur Institute, Athens, Greece
| | - Petros Drakakis
- First Department of Gynecology and Obstetrics, National Kapodistrian University of Athens, Alexandra General Hospital, Athens, Greece
| | - Dimitrios Loutradis
- First Department of Gynecology and Obstetrics, National Kapodistrian University of Athens, Alexandra General Hospital, Athens, Greece
| | - Alexandros Rodolakis
- First Department of Gynecology and Obstetrics, National Kapodistrian University of Athens, Alexandra General Hospital, Athens, Greece
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Colucci ME, Affanni P, Cantarelli A, Caruso L, Bracchi MT, Capobianco E, Zoni R, Paini G, Odone A, Mohieldin Mahgoub Ibrahim MM, Veronesi L. Influenza vaccine effectiveness in children: a retrospective study on eight post-pandemic seasons with trivalent inactivated vaccine. ACTA BIO-MEDICA : ATENEI PARMENSIS 2020; 91:63-70. [PMID: 32275269 PMCID: PMC7975907 DOI: 10.23750/abm.v91i3-s.9424] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/19/2020] [Accepted: 03/24/2020] [Indexed: 01/12/2023]
Abstract
Background and aim of the work: The global burden of disease attributable to seasonal influenza virus in children is difficult to quantify. Children with chronic medical conditions and healthy children may experience severe or fatal complications. Aim of the study was to estimate the influenza vaccine effectiveness (VE) in a cohort of outpatient children. Methods: From 2010 to 2018, a Pediatrician of Parma from the InfluNet network of Emilia-Romagna Region, performed nasal/throat swabs on every child with Influenza-like illness at least 14 days from the vaccination with trivalent vaccine. VE estimates against influenza season, virus type and subtype and age group were evaluated using a test-negative design. Results: 2,480 swabs were performed. The 57.6% of the analyzed swabs were positive for influenza viruses. Type A (57%) and type B viruses (43%) co-circulated. The 37.1% of type A viruses belonged to subtype A(H3N2), 19.4% to subtype A(H1N1)pdm09. The subtype A(H3N2) was prevalent among children up to 23 months (42.4%) while the type B in the 2-4 (40.7%) and 5-16 year old age groups (49.4%). Overall, 19.9% of the children were vaccinated. The highest prevalence of vaccinated subjects was found in children aged 5-16 (30.5%). The VE against subtype A(H1N1)pdm09 was 63% (95%CI 42.6-76.0), against type B 27.5% (95%CI 7.9-42.9) and against subtype A(H3N2) -14.3% (95%CI - 46.0-10.7). Conclusions: Our findings represent a useful contribution to the ongoing debate about the appropriateness of including influenza vaccination for healthy children, 6 months and older, in the updating National Vaccine Prevention Plan (PNPV).
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Affiliation(s)
| | - Paola Affanni
- Department of Medicine and Surgery, University of Parma.
| | | | - Luca Caruso
- Department of Medicine and Surgery, University of Parma.
| | | | | | - Roberta Zoni
- Department of Medicine and Surgery, University of Parma.
| | - Giulia Paini
- Department of Medicine and Surgery, University of Parma.
| | - Anna Odone
- School of Public Health, Faculty of Medicine, University Vita-Salute San Raffaele, Milan.
| | | | - Licia Veronesi
- Department of Medicine and Surgery, University of Parma.
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35
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Ando S. Estimation of the Effectiveness of Quadrivalent Influenza Vaccines by Distinguishing Between Influenza A (H1N1) pdm09 and Influenza A (H3N2) Using Rapid Influenza Diagnostic Tests During the 2018-2019 Season. Intern Med 2020; 59:933-940. [PMID: 31787695 PMCID: PMC7184079 DOI: 10.2169/internalmedicine.3616-19] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
Abstract
Objective To estimate the effectiveness of quadrivalent influenza vaccines during the 2018-2019 season for influenza A (H1N1) pdm09 and A (H3N2) in all age groups. Methods A test-negative case-control study was performed. Patients A total of 1,331 participants were divided into 4 groups (younger children: ≤6 years, older children: 7-15 years, younger adults: 16-64 years, and older adults: ≥65 years). Results For all children, the adjusted vaccine effectiveness (VE) was significant against any influenza [41.3% (95% confidence interval (CI): 19.7-57.2%)], total A [A (H1N1) pdm09 and (H3N2); 38.3% (95% CI: 15.1-55.1%)], and A [H3N2; 39.8% (95% CI: 13.8-57.9%)]. In younger children, the adjusted VE against any influenza was 44.8% (95% CI: 14.1-64.5%) and against total A was 43.8% (95% CI: 12.5-63.9%). For all adults, the adjusted VE was significant against any influenza was 42.3% (95% CI: 17.9-59.5%); total A, 39.3% (95% CI: 13.5-57.4%); A (H1N1) pdm09, 56.7% (95% CI: 19.1-76.8%); and A (H3N2), 33.2% (95% CI: 1.5-54.6%). In younger adults, the adjusted VE against any influenza was 43.4% (95% CI: 17.3-61.2%), total A, 41.7% (95% CI: 14.4-60.3%); A (H1N1) pdm09, 56.2% (95% CI: 14.9-77.5%); and A (H3N2), 34.5% (95% CI: 0.3-56.9%). In both older children and older adults, no significant VE was observed. Conclusion This study is the first to report on the VE against all types of influenza in all age groups using a rapid influenza diagnostic test. The VE varied with both age and influenza subtype.
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36
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Redlberger-Fritz M, Kundi M, Popow-Kraupp T. Heterogeneity of Circulating Influenza Viruses and Their Impact on Influenza Virus Vaccine Effectiveness During the Influenza Seasons 2016/17 to 2018/19 in Austria. Front Immunol 2020; 11:434. [PMID: 32256493 PMCID: PMC7092378 DOI: 10.3389/fimmu.2020.00434] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2019] [Accepted: 02/25/2020] [Indexed: 11/13/2022] Open
Abstract
The constantly changing pattern in the dominance of viral strains and their evolving subclades during the seasons substantially influences influenza vaccine effectiveness (IVE). In order to further substantiate the importance of detailed data of genetic virus characterization for IVE estimates during the seasons, we performed influenza virus type and subtype specific IVE estimates. IVE estimates were assessed using a test-negative case-control design, in the context of the intraseasonal changes of the heterogeneous mix of circulating influenza virus strains for three influenza seasons (2016/17 to 2018/19) in Austria. Adjusted overall IVE over the three seasons 2016/17, 2017/18, and 2018/19 were -26, 39, and 63%, respectively. In accordance with the changing pattern of the circulating strains a broad range of overall and subtype specific IVEs was obtained: A(H3N2) specific IVE ranged between -26% for season 2016/17 to 58% in season 2018/19, A(H1N1)pdm09 specific IVE was 25% for the season 2017/18 and 65% for the season 2018/19 and Influenza B specific IVE for season 2017/18 was 45%. The results obtained in our study over the three seasons demonstrate the increasingly complex dynamic of the ever changing genetic pattern of the circulating influenza viruses and their influence on IVE estimates. This emphasizes the importance of detailed genetic virus surveillance for reliable IVE estimates.
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Affiliation(s)
| | - Michael Kundi
- Department of Environmental Health, Medical University Vienna, Vienna, Austria
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Rose A, Kissling E, Emborg HD, Larrauri A, McMenamin J, Pozo F, Trebbien R, Mazagatos C, Whitaker H, Valenciano M. Interim 2019/20 influenza vaccine effectiveness: six European studies, September 2019 to January 2020. Euro Surveill 2020; 25:2000153. [PMID: 32183932 PMCID: PMC7078828 DOI: 10.2807/1560-7917.es.2020.25.10.2000153] [Citation(s) in RCA: 48] [Impact Index Per Article: 9.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/29/2023] Open
Abstract
BackgroundInfluenza A(H1N1)pdm09, A(H3N2) and B viruses were co-circulating in Europe between September 2019 and January 2020.AimTo provide interim 2019/20 influenza vaccine effectiveness (VE) estimates from six European studies, covering 10 countries and both primary care and hospital settings.MethodsAll studies used the test-negative design, although there were some differences in other study characteristics, e.g. patient selection, data sources, case definitions and included age groups. Overall and influenza (sub)type-specific VE was estimated for each study using logistic regression adjusted for potential confounders.ResultsThere were 31,537 patients recruited across the six studies, of which 5,300 (17%) were cases with 5,310 infections. Most of these (4,466; 84%) were influenza A. The VE point estimates for all ages were 29% to 61% against any influenza in the primary care setting and 35% to 60% in hospitalised older adults (aged 65 years and over). The VE point estimates against A(H1N1)pdm09 (all ages, both settings) was 48% to 75%, and against A(H3N2) ranged from -58% to 57% (primary care) and -16% to 60% (hospital). Against influenza B, VE for all ages was 62% to 83% (primary care only).ConclusionsInfluenza vaccination is of continued benefit during the ongoing 2019/20 influenza season. Robust end-of-season VE estimates and genetic virus characterisation results may help understand the variability in influenza (sub)type-specific results across studies.
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Affiliation(s)
- Angela Rose
- Epiconcept, Paris, France,Authors contributed equally to the study and manuscript writing
| | - Esther Kissling
- Epiconcept, Paris, France,Authors contributed equally to the study and manuscript writing
| | - Hanne-Dorthe Emborg
- Department of Infectious Disease Epidemiology and Prevention, Statens Serum Institut, Copenhagen, Denmark
| | - Amparo Larrauri
- National Epidemiology Centre, Institute of Health Carlos III, Madrid, Spain; CIBER de Epidemiología y Salud Pública (CIBERESP), Institute of Health Carlos III, Madrid, Spain
| | | | - Francisco Pozo
- National Centre for Microbiology, National Influenza Reference Laboratory, WHO-National Influenza Centre, Institute of Health Carlos III, Madrid, Spain; CIBER de Epidemiología y Salud Pública (CIBERESP), Institute of Health Carlos III, Madrid, Spain
| | - Ramona Trebbien
- Department of Virus and Microbiological Special diagnostics, National Influenza Center, Statens Serum Institut, Copenhagen, Denmark
| | - Clara Mazagatos
- National Epidemiology Centre, Institute of Health Carlos III, Madrid, Spain; CIBER de Epidemiología y Salud Pública (CIBERESP), Institute of Health Carlos III, Madrid, Spain
| | | | | | - European IVE group
- European Influenza Vaccine Effectiveness (IVE) group members are listed at the end of the article
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38
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Panatto D, Lai PL, Mosca S, Lecini E, Orsi A, Signori A, Castaldi S, Pariani E, Pellegrinelli L, Galli C, Anselmi G, Icardi G. Influenza Vaccination in Italian Healthcare Workers (2018-2019 Season): Strengths and Weaknesses. Results of a Cohort Study in Two Large Italian Hospitals. Vaccines (Basel) 2020; 8:E119. [PMID: 32150801 PMCID: PMC7157508 DOI: 10.3390/vaccines8010119] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2020] [Revised: 02/28/2020] [Accepted: 02/28/2020] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND Annual vaccination is the most effective way to combat influenza. As influenza viruses evolve, seasonal vaccines are updated annually. Within the European project Development of Robust and Innovative Vaccine Effectiveness (DRIVE), a cohort study involving Italian healthcare workers (HCWs) was carried out during the 2018-2019 season. Two aims were defined: to measure influenza vaccine effectiveness (IVE) against laboratory-confirmed influenza cases and to conduct an awareness-raising campaign to increase vaccination coverage. METHODS Each subject enrolled was followed up from enrollment to the end of the study. Each HCW who developed ILI was swabbed for laboratory confirmation of influenza. Influenza viruses were identified by molecular assays. A Cox regression analysis, crude and adjusted for confounding variables, was performed to estimate the IVE. RESULTS Among the 4483 HCWs enrolled, vaccination coverage was 32.5%, and 308 ILI cases were collected: 23.4% were positive for influenza (54.2% A(H1N1) pdm09; 45.8% A(H3N2)). No influenza B viruses were detected. No overall IVE was observed. Analyzing the subtypes of influenza A viruses, the IVE was estimated as 45% (95% CI: -59 to 81) for A(H1N1) pdm09. CONCLUSIONS Vaccination coverage among HCWs increased. Study difficulties and the circulation of drifted variants of A(H3N2) could partly explain the observed IVE.
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Affiliation(s)
- Donatella Panatto
- Department of Health Sciences, University of Genoa, Via Pastore 1, 16132 Genoa, Italy; (P.L.L.); (E.L.); (A.O.); (A.S.); (G.I.)
- Interuniversity Research Center on Influenza and Other Transmissible Infections (CIRI-IT), Via Pastore 1, 16132 Genoa, Italy; (S.M.); (E.P.)
| | - Piero Luigi Lai
- Department of Health Sciences, University of Genoa, Via Pastore 1, 16132 Genoa, Italy; (P.L.L.); (E.L.); (A.O.); (A.S.); (G.I.)
- Interuniversity Research Center on Influenza and Other Transmissible Infections (CIRI-IT), Via Pastore 1, 16132 Genoa, Italy; (S.M.); (E.P.)
| | - Stefano Mosca
- Interuniversity Research Center on Influenza and Other Transmissible Infections (CIRI-IT), Via Pastore 1, 16132 Genoa, Italy; (S.M.); (E.P.)
| | - Elvina Lecini
- Department of Health Sciences, University of Genoa, Via Pastore 1, 16132 Genoa, Italy; (P.L.L.); (E.L.); (A.O.); (A.S.); (G.I.)
| | - Andrea Orsi
- Department of Health Sciences, University of Genoa, Via Pastore 1, 16132 Genoa, Italy; (P.L.L.); (E.L.); (A.O.); (A.S.); (G.I.)
- Interuniversity Research Center on Influenza and Other Transmissible Infections (CIRI-IT), Via Pastore 1, 16132 Genoa, Italy; (S.M.); (E.P.)
| | - Alessio Signori
- Department of Health Sciences, University of Genoa, Via Pastore 1, 16132 Genoa, Italy; (P.L.L.); (E.L.); (A.O.); (A.S.); (G.I.)
| | - Silvana Castaldi
- Department of Biomedical Sciences for Health, University of Milan, Via C. Pascal 36, 20133 Milano, Italy; (S.C.); (L.P.); (C.G.); (G.A.)
- Fondazione IRCCS Ca’ Granda Ospedale Maggiore Policlinico di Milano, Via F. Sforza 28, 20122 Milano, Italy
| | - Elena Pariani
- Interuniversity Research Center on Influenza and Other Transmissible Infections (CIRI-IT), Via Pastore 1, 16132 Genoa, Italy; (S.M.); (E.P.)
- Department of Biomedical Sciences for Health, University of Milan, Via C. Pascal 36, 20133 Milano, Italy; (S.C.); (L.P.); (C.G.); (G.A.)
| | - Laura Pellegrinelli
- Department of Biomedical Sciences for Health, University of Milan, Via C. Pascal 36, 20133 Milano, Italy; (S.C.); (L.P.); (C.G.); (G.A.)
| | - Cristina Galli
- Department of Biomedical Sciences for Health, University of Milan, Via C. Pascal 36, 20133 Milano, Italy; (S.C.); (L.P.); (C.G.); (G.A.)
| | - Giovanni Anselmi
- Department of Biomedical Sciences for Health, University of Milan, Via C. Pascal 36, 20133 Milano, Italy; (S.C.); (L.P.); (C.G.); (G.A.)
| | - Giancarlo Icardi
- Department of Health Sciences, University of Genoa, Via Pastore 1, 16132 Genoa, Italy; (P.L.L.); (E.L.); (A.O.); (A.S.); (G.I.)
- Interuniversity Research Center on Influenza and Other Transmissible Infections (CIRI-IT), Via Pastore 1, 16132 Genoa, Italy; (S.M.); (E.P.)
| | - CIRI-IT Team
- Department of Health Sciences, University of Genoa, Via Pastore 1, 16132 Genoa, Italy; (P.L.L.); (E.L.); (A.O.); (A.S.); (G.I.)
- Department of Biomedical Sciences for Health, University of Milan, Via C. Pascal 36, 20133 Milano, Italy; (S.C.); (L.P.); (C.G.); (G.A.)
- Ospedale Policlinico San Martino IRCCS, Largo R. Benzi 10, 16132 Genoa, Italy
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Castilla J, Portillo ME, Casado I, Pozo F, Navascués A, Adelantado M, Gómez Ibáñez C, Ezpeleta C, Martínez-Baz I. Effectiveness of the current and prior influenza vaccinations in Northern Spain, 2018–2019. Vaccine 2020; 38:1925-1932. [DOI: 10.1016/j.vaccine.2020.01.028] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2019] [Revised: 01/07/2020] [Accepted: 01/08/2020] [Indexed: 10/25/2022]
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40
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Pebody R, Whitaker H, Zhao H, Andrews N, Ellis J, Donati M, Zambon M. Protection provided by influenza vaccine against influenza-related hospitalisation in ≥65 year olds: Early experience of introduction of a newly licensed adjuvanted vaccine in England in 2018/19. Vaccine 2020; 38:173-179. [DOI: 10.1016/j.vaccine.2019.10.032] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2019] [Revised: 10/10/2019] [Accepted: 10/12/2019] [Indexed: 01/05/2023]
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Mallory RM, Nyborg A, Kalyani RN, Yuan Y, Block SL, Dubovsky F. A study to evaluate the immunogenicity and shedding of live attenuated influenza vaccine strains in children 24–<48 months of age. Vaccine 2020; 38:1001-1008. [DOI: 10.1016/j.vaccine.2019.11.055] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2019] [Revised: 10/09/2019] [Accepted: 11/20/2019] [Indexed: 11/29/2022]
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Kissling E, Pozo F, Buda S, Vilcu AM, Rizzo C, Gherasim A, Horváth JK, Brytting M, Domegan L, Meijer A, Paradowska-Stankiewicz I, Machado A, Vučina VV, Lazar M, Johansen K, Dürrwald R, van der Werf S, Bella A, Larrauri A, Ferenczi A, Zakikhany K, O'Donnell J, Dijkstra F, Bogusz J, Guiomar R, Filipović SK, Pitigoi D, Penttinen P, Valenciano M. Effectiveness of influenza vaccine against influenza A in Europe in seasons of different A(H1N1)pdm09 and the same A(H3N2) vaccine components (2016-17 and 2017-18). Vaccine X 2019; 3:100042. [PMID: 31660536 PMCID: PMC6807025 DOI: 10.1016/j.jvacx.2019.100042] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2019] [Revised: 09/13/2019] [Accepted: 09/15/2019] [Indexed: 11/09/2022] Open
Abstract
INTRODUCTION Influenza A(H3N2) viruses predominated in Europe in 2016-17. In 2017-18 A(H3N2) and A(H1N1)pdm09 viruses co-circulated. The A(H3N2) vaccine component was the same in both seasons; while the A(H1N1)pdm09 component changed in 2017-18. In both seasons, vaccine seed A(H3N2) viruses developed adaptations/alterations during propagation in eggs, impacting antigenicity. METHODS We used the test-negative design in a multicentre primary care case-control study in 12 European countries to measure 2016-17 and 2017-18 influenza vaccine effectiveness (VE) against laboratory-confirmed influenza A(H1N1)pdm09 and A(H3N2) overall and by age group. RESULTS During the 2017-18 season, the overall VE against influenza A(H1N1)pdm09 was 59% (95% CI: 47-69). Among those aged 0-14, 15-64 and ≥65 years, VE against A(H1N1)pdm09 was 64% (95% CI: 37-79), 50% (95% CI: 28-66) and 66% (95% CI: 42-80), respectively. Overall VE against influenza A(H3N2) was 28% (95% CI: 17-38) in 2016-17 and 13% (95% CI: -15 to 34) in 2017-18. Among 0-14-year-olds VE against A(H3N2) was 28% (95%CI: -10 to 53) and 29% (95% CI: -87 to 73), among 15-64-year-olds 34% (95% CI: 18-46) and 33% (95% CI: -3 to 56) and among those aged ≥65 years 15% (95% CI: -10 to 34) and -9% (95% CI: -74 to 32) in 2016-17 and 2017-18, respectively. CONCLUSIONS Our study suggests the new A(H1N1)pdm09 vaccine component conferred good protection against circulating strains, while VE against A(H3N2) was <35% in 2016-17 and 2017-18. The egg propagation derived antigenic mismatch of the vaccine seed virus with circulating strains may have contributed to this low effectiveness. A(H3N2) seed viruses for vaccines in subsequent seasons may be subject to the same adaptations; in years with lower than expected VE, recommendations of preventive measures other than vaccination should be given in a timely manner.
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Affiliation(s)
- Esther Kissling
- Epidemiology Department, Epiconcept, 47 rue de Charenton, 75012 Paris, France
| | - Francisco Pozo
- National Centre for Microbiology, National Influenza Reference Laboratory, WHO-National Influenza Centre, Institute of Health Carlos III, Madrid, Spain
| | - Silke Buda
- Robert Koch Institute, Department of Infectious Disease Epidemiology, Respiratory Infections Unit, Seestrasse 10, 13353 Berlin, Germany
| | - Ana-Maria Vilcu
- Sorbonne Université, INSERM, Institut Pierre Louis d’épidémiologie et de Santé Publique (IPLESP UMRS 1136), F-75012, Paris, France
| | - Caterina Rizzo
- Department of Infectious Diseases, National Institute of Health, Rome, Italy
- Bambino Gesù Children’s Hospital, Rome, Italy
| | - Alin Gherasim
- National Epidemiology Centre, Institute of Health Carlos III, Madrid, Spain
- CIBER de Epidemiología y Salud Pública (CIBERESP), Institute of Health Carlos III, Madrid Spain
| | | | - Mia Brytting
- Public Health Agency of Sweden, Stockholm, Sweden
| | - Lisa Domegan
- Health Service Executive-Health Protection Surveillance Centre, 25-27 Middle Gardiner Street, Dublin 1 D01 A4A3, Ireland
| | - Adam Meijer
- National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands
| | | | - Ausenda Machado
- Departamento de Epidemiologia, Instituto Nacional de Saúde Dr. Ricardo Jorge, Lisbon, Portugal
| | | | - Mihaela Lazar
- “Cantacuzino” National Medico-Military Institute for Research and Development, Bucharest, Romania
| | - Kari Johansen
- European Centre for Disease Prevention and Control (ECDC), Gustav III:s boulevard 40, 169 73 Solna, Sweden
| | - Ralf Dürrwald
- Robert Koch Institute, National Reference Center for Influenza, Seestrasse 10, 13353 Berlin, Germany
| | - Sylvie van der Werf
- Unité de Génétique Moléculaire des Virus à ARN, Institut Pasteur, CNRS UMR3569, Université Paris Diderot SPC, France
- CNR des Virus des Infections Respiratoires, WHO National Influenza Center, Institut Pasteur, France
| | - Antonino Bella
- Department of Infectious Diseases, National Institute of Health, Rome, Italy
| | - Amparo Larrauri
- National Epidemiology Centre, Institute of Health Carlos III, Madrid, Spain
- CIBER de Epidemiología y Salud Pública (CIBERESP), Institute of Health Carlos III, Madrid Spain
| | | | | | - Joan O'Donnell
- Health Service Executive-Health Protection Surveillance Centre, 25-27 Middle Gardiner Street, Dublin 1 D01 A4A3, Ireland
| | - Frederika Dijkstra
- National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands
| | - Joanna Bogusz
- National Institute of Public Health-National Institute of Hygiene, Warsaw, Poland
| | - Raquel Guiomar
- Departamento de Doenças Infeciosas, Instituto Nacional de Saúde Dr. Ricardo Jorge, Portugal
| | | | - Daniela Pitigoi
- Carol Davila University of Medicine and Pharmacy, Bucharest, Romania
| | - Pasi Penttinen
- European Centre for Disease Prevention and Control (ECDC), Gustav III:s boulevard 40, 169 73 Solna, Sweden
| | - Marta Valenciano
- Epidemiology Department, Epiconcept, 47 rue de Charenton, 75012 Paris, France
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Quadrivalent Influenza Vaccine-Induced Antibody Response and Influencing Determinants in Patients ≥ 55 Years of Age in the 2018/2019 Season. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2019; 16:ijerph16224489. [PMID: 31739554 PMCID: PMC6887788 DOI: 10.3390/ijerph16224489] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 09/04/2019] [Revised: 11/04/2019] [Accepted: 11/12/2019] [Indexed: 02/06/2023]
Abstract
The effects of immunization with subunit inactivated quadrivalent influenza vaccine (QIV) are not generally well assessed in the elderly Polish population. Therefore, this study evaluated vaccine-induced antibody response and its determinants. Methods: Consecutive patients ≥ 55 years old, attending a Primary Care Clinic in Gryfino, Poland, received QIV (A/Michigan/ 45/2015(H1N1)pdm09, A/Singapore/INFIMH-16-0019/2016 (H3N2), B/Colorado/06/2017, B/Phuket/ 3073/2013) between October-December 2018. Hemagglutination inhibition assays measured antibody response to vaccine strains from pre/postvaccination serum samples. Geometric mean titer ratio (GMTR), protection rate (PR) and seroconversion rate (SR) were also calculated. Results: For 108 patients (54.6% males, mean age: 66.7 years) the highest GMTR (61.5-fold) was observed for A/H3N2/, then B/Colorado/06/2017 (10.3-fold), A/H1N1/pdm09 (8.4-fold) and B/Phuket/ 3073/2013 (3.0-fold). Most patients had post-vaccination protection for A/H3N2/ and B/Phuket/3073/ 2013 (64.8% and 70.4%, respectively); lower PRs were observed for A/H1N1/pdm09 (41.8%) and B/Colorado/06/ 2017 (57.4%). The SRs for A/H3N2/, A/H1N1/pdm09, B Victoria and B Yamagata were 64.8%, 38.0%, 46.8%, and 48.2%, respectively. Patients who received QIV vaccination in the previous season presented lower (p < 0.001 and p = 0.03, respectively) response to B Victoria and B Yamagata. Conclusions: QIV was immunogenic against the additional B lineage strain (B Victoria) without significantly compromising the immunogenicity of the other three vaccine strains, therefore, adding a second B lineage strain in QIV could broaden protection against influenza B infection in this age group. As the QIV immunogenicity differed regarding the four antigens, formulation adjustments to increase the antigen concentration of the serotypes that have lower immunogenicity could increase effectiveness. Prior season vaccination was associated with lower antibody response to a new vaccine, although not consistent through the vaccine strains.
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Bellino S, Bella A, Puzelli S, Di Martino A, Facchini M, Punzo O, Pezzotti P, Castrucci MR, The InfluNet Study Group. Moderate influenza vaccine effectiveness against A(H1N1)pdm09 virus, and low effectiveness against A(H3N2) subtype, 2018/19 season in Italy. Expert Rev Vaccines 2019; 18:1201-1209. [PMID: 31674847 DOI: 10.1080/14760584.2019.1688151] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
Background: Influenza vaccines are updated every year to match the vaccine strains with currently circulating viruses; consequently influenza vaccine effectiveness (IVE) has to be assessed annually.Research design and methods: A test-negative case-control study was conducted within the context of the Italian sentinel influenza surveillance network to estimate IVE by age group, virus subtype, and vaccine brand in medically attended laboratory-confirmed influenza.Results: In Italy, the 2018/19 influenza season was characterized by the co-circulation of influenza A(H1N1)pdm09 and A(H3N2) viruses. The adjusted IVE estimate in preventing influenza was moderate (44.8%, 95% CI: 18.8 to 62.5) against A(H1N1)pdm09, whereas there was no evidence of effectiveness (1.8%, 95% CI: -37.8 to 30.1) in persons affected by A(H3N2). IVE against A(H1N1)pdm09 decreased with age ranging from 65.7% to 13.1% among children/adolescents and elderly, respectively; moreover results suggest that Vaxigrip Tetra® was more effective against A(H1N1)pdm09 compared to Fluarix Tetra® [62.5% (95% CI: 34.3 to 78.6) vs 24.5% (95% CI: -40.6 to 59.6)]. Low effectiveness (35.2%, 95% CI: -50.8 to 72.1) against A(H3N2) was detected only in the elderly immunized with Fluad®.Conclusions: Findings suggest that influenza vaccines were low to moderately effective, probably due to a mismatch between circulating and vaccine strains.
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Affiliation(s)
- Stefania Bellino
- Department of Infectious Diseases, National Institute of Health (Istituto Superiore di Sanità), Rome, Italy
| | - Antonino Bella
- Department of Infectious Diseases, National Institute of Health (Istituto Superiore di Sanità), Rome, Italy
| | - Simona Puzelli
- Department of Infectious Diseases, National Institute of Health (Istituto Superiore di Sanità), Rome, Italy
| | - Angela Di Martino
- Department of Infectious Diseases, National Institute of Health (Istituto Superiore di Sanità), Rome, Italy
| | - Marzia Facchini
- Department of Infectious Diseases, National Institute of Health (Istituto Superiore di Sanità), Rome, Italy
| | - Ornella Punzo
- Department of Infectious Diseases, National Institute of Health (Istituto Superiore di Sanità), Rome, Italy
| | - Patrizio Pezzotti
- Department of Infectious Diseases, National Institute of Health (Istituto Superiore di Sanità), Rome, Italy
| | - Maria Rita Castrucci
- Department of Infectious Diseases, National Institute of Health (Istituto Superiore di Sanità), Rome, Italy
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Pebody RG, Whitaker H, Ellis J, Andrews N, Marques DFP, Cottrell S, Reynolds AJ, Gunson R, Thompson C, Galiano M, Lackenby A, Robertson C, O'Doherty MG, Owens K, Yonova I, Shepherd SJ, Moore C, Johnston J, Donati M, McMenamin J, Lusignan SD, Zambon M. End of season influenza vaccine effectiveness in primary care in adults and children in the United Kingdom in 2018/19. Vaccine 2019; 38:489-497. [PMID: 31685296 DOI: 10.1016/j.vaccine.2019.10.071] [Citation(s) in RCA: 31] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2019] [Revised: 10/16/2019] [Accepted: 10/25/2019] [Indexed: 01/30/2023]
Abstract
2018/19 was the first season of introduction of a newly licensed adjuvanted influenza vaccine (aTIV) for adults aged 65 years and over and the sixth season in the roll-out of a childhood influenza vaccination programme with a quadrivalent live attenuated influenza vaccine (LAIV). The season saw mainly A(H1N1)pdm09 and latterly A(H3N2) circulation. End-of-season adjusted vaccine effectiveness (aVE) estimates against laboratory confirmed influenza infection in primary care were calculated using the test negative case control method adjusting for key confounders. End-of-season aVE was 44.3% (95% CI: 26.8, 57.7) against all laboratory-confirmed influenza; 45.7% (95% CI: 26.0, 60.1) against influenza A(H1N1)pdm09 and 35.1% (95% CI: -3.7,59.3) against A(H3N2). Overall aVE was 49.9% (95%CI: -13.7, 77.9) for all those ≥ 65 years of age and 62.0% (95% CI: 3.4, 85.0) for those who received aTIV. Overall aVE for 2-17 year olds receiving LAIV was 48.6% (95% CI: -4.4, 74.7). The paper provides evidence of overall significant influenza VE in 2018/19, most notably against influenza A(H1N1)pdm09, however, as seen in 2017/18, there was reduced, non-significant VE against A(H3N2). aTIV provided significant protection for those 65 years of age and over.
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Affiliation(s)
| | | | | | | | | | | | | | - Rory Gunson
- West of Scotland Specialist Virology Centre, Glasgow, United Kingdom
| | | | | | | | | | | | - Katie Owens
- Public Health England, London, United Kingdom
| | - Ivelina Yonova
- University of Surrey Guildford, United Kingdom; Royal College of General Practitioners Research and Surveillance Centre, London, United Kingdom
| | | | | | | | | | | | - Simon de Lusignan
- Royal College of General Practitioners Research and Surveillance Centre, London, United Kingdom; Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom
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Costantino C, Vitale F. The relevance for Public Health of the mid-term and interim analyses of seasonal influenza vaccination effectiveness. Future Virol 2019. [DOI: 10.2217/fvl-2019-0143] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Affiliation(s)
- Claudio Costantino
- Department of Health Promotion Sciences, Maternal & Infant Care, Internal Medicine & Excellence Specialties (PROMISE) “G D’Alessandro” – University of Palermo, Palermo, Italy
| | - Francesco Vitale
- Department of Health Promotion Sciences, Maternal & Infant Care, Internal Medicine & Excellence Specialties (PROMISE) “G D’Alessandro” – University of Palermo, Palermo, Italy
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Abstract
This statement updates the recommendations of the American Academy of Pediatrics for the routine use of influenza vaccines and antiviral medications in the prevention and treatment of influenza in children during the 2019-2020 season. The American Academy of Pediatrics continues to recommend routine influenza immunization of all children without medical contraindications, starting at 6 months of age. Any licensed, recommended, age-appropriate vaccine available can be administered, without preference of one product or formulation over another. Antiviral treatment of influenza with any licensed, recommended, age-appropriate influenza antiviral medication continues to be recommended for children with suspected or confirmed influenza, particularly those who are hospitalized, have severe or progressive disease, or have underlying conditions that increase their risk of complications of influenza.
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MESH Headings
- Adolescent
- Age Factors
- Antiviral Agents/administration & dosage
- Antiviral Agents/adverse effects
- Breast Feeding
- Cause of Death
- Child
- Child, Hospitalized
- Child, Preschool
- Contraindications
- Disease Progression
- Drug Resistance, Viral
- Egg Hypersensitivity
- Female
- Humans
- Immunocompromised Host
- Infant
- Influenza A Virus, H1N1 Subtype/immunology
- Influenza A Virus, H3N2 Subtype/immunology
- Influenza Vaccines/administration & dosage
- Influenza Vaccines/adverse effects
- Influenza, Human/complications
- Influenza, Human/drug therapy
- Influenza, Human/epidemiology
- Influenza, Human/prevention & control
- Pediatrics
- Pregnancy
- United States/epidemiology
- Vaccines, Inactivated/administration & dosage
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Colucci ME, Veronesi L, Bracchi MT, Zoni R, Caruso L, Capobianco E, Rossi D, Bizzarro A, Cantarelli A, Affanni P. On field vaccine effectiveness in three periods of 2018/2019 influenza season in Emilia-Romagna Region. ACTA BIO-MEDICA : ATENEI PARMENSIS 2019; 90:21-27. [PMID: 31517886 PMCID: PMC7233652 DOI: 10.23750/abm.v90i9-s.8699] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/22/2019] [Accepted: 07/22/2019] [Indexed: 02/08/2023]
Abstract
Background and aim of the work: Epidemic influenza is associated with significant morbidity and mortality, particularly in people at risk. The vaccine reduces complications, hospitalization and mortality excess, as well as health care and social costs. Aim of the study was to estimate the influenza vaccine effectiveness (VE) in Emilia-Romagna Region during the 2018/2019 season. Methods: Within the context of virological surveillance conducted at the Regional Reference Laboratory of Parma, nasal/throat swabs were performed by sentinel practitioners and clinicians, on patients with ILI (Influenza-like illness). VE estimates, overall and against subtype A(H1N1)pdm09 and A(H3N2), were evaluated in three periods of the season, using a test-negative case-control design. Results: From November 2018 to April 2019, 2,230 specimens were analyzed: 1,674 (75.1%) performed by clinicians and 556 (24.9%) by sentinel practitioners of the regional network. The season was characterized by the predominant circulation of influenza type A viruses: 57.4% belonged to subtype A(H3N2), 41.2% to subtype A(H1N1)pdm09. 23.5% of patients was vaccinated against influenza with quadrivalent or adjuvate vaccine. The overall VE was -5% (95% CI -33% - 18%) with a decreasing trend during the season. The overall VE against subtype A(H1N1)pdm09 was 39% (95% CI 11% - 58%) and remained stable during the season. The overall VE against subtype A(H3N2) was -43% (95% CI -89% - -9%), and showed an important decreasing trend. Conclusions: The possibility to make accurate and continuous VE estimates during the season will help to better define the composition of the vaccine for the following season. (www.actabiomedica.it)
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Affanni P, Colucci ME, Bracchi MT, Capobianco E, Zoni R, Caruso L, Castrucci MR, Puzelli S, Cantarelli A, Veronesi L. Virological Surveillance of Influenza in the eight epidemic seasons after the 2009 pandemic in Emilia-Romagna (Northern Italy). ACTA BIO-MEDICA : ATENEI PARMENSIS 2019; 90:35-44. [PMID: 31517888 PMCID: PMC7233653 DOI: 10.23750/abm.v90i9-s.8722] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/26/2019] [Accepted: 07/26/2019] [Indexed: 11/23/2022]
Abstract
BACKGROUND AND AIM OF THE WORK Influenza virological surveillance is essential for monitoring the evolution of influenza viruses (IVs) as well as for annual updating of the vaccine composition. The aim of this study is to analyse IVs circulation in Emilia-Romagna during the eight epidemic seasons after the 2009 pandemic and to evaluate their match with seasonal vaccine strains. METHODS A total of 7882 respiratory specimens from patients with influenza-like illness (ILI), were collected by regional sentinel practitioners and hospital physicians. Viral investigations were conducted by rRT-PCR assay. Genetic characterization was performed for a spatial-temporal representative number of influenza laboratory-confirmed specimens. RESULTS Influenza-positive samples per season ranged between 28.9% (2013-2014) and 66.8% (2012-2013). Co-circulation of IVs type A and type B was observed in all seasons, although with a different intensity. In all seasons, the highest number of positive samples was recorded in younger patients aged 5-14 years with relative frequencies ranging from 40% in the 2013-2014 season and 78% in the 2012-2013 season. Since the 2009 pandemic, A/H1N1pdm09 IVs circulating were closely related to the vaccine strain A/California/7/2009. Antigenic mismatch between vaccine strain and A/H3N2 IVs was observed in the 2011-2012 and 2014-2015 seasons. During 2015-2016, 2016-2017 and 2017-2018 seasons a complete or nearly complete mismatch between the predominant influenza B lineage of IVs type B circulating and vaccine B lineage occurred. CONCLUSIONS This analysis confirms the importance of the virological surveillance and highlights the need of a continuous monitoring of IVs circulation, to improve the most appropriate vaccination strategies. (www.actabiomedica.it).
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Affiliation(s)
- Paola Affanni
- Department of Medicine and Surgery, University of Parma, Italy.
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50
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A mid-term estimate of 2018/2019 vaccine effectiveness to prevent laboratory confirmed A(H1N1)pdm09 and A(H3N2) influenza cases in Sicily (Italy). Vaccine 2019; 37:5812-5816. [DOI: 10.1016/j.vaccine.2019.08.014] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2019] [Revised: 07/29/2019] [Accepted: 08/09/2019] [Indexed: 11/19/2022]
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