1
|
Martínez-Baz I, Navascués A, Trobajo-Sanmartín C, Pozo F, Fernández-Huerta M, Olazabal-Arruiz M, Argente-Colas L, Ezpeleta G, Echeverria A, Casado I, Ezpeleta C, Castilla J. Effectiveness of influenza vaccination in preventing confirmed influenza cases and hospitalizations in Northern Spain, 2023/24 season: A population-based test-negative case-control study. Int J Infect Dis 2025; 151:107364. [PMID: 39694231 PMCID: PMC11735411 DOI: 10.1016/j.ijid.2024.107364] [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: 06/27/2024] [Revised: 12/09/2024] [Accepted: 12/12/2024] [Indexed: 12/20/2024] Open
Abstract
OBJECTIVE We estimated the influenza vaccination effectiveness (IVE) in preventing medical consultations and hospitalizations due to influenza during the 2023/24 season. METHODS Two test-negative case-control studies analyzed patients who consulted primary healthcare or were hospitalized for respiratory symptoms and were tested for influenza by PCR in the 2023/24 season in Navarre, Spain. Influenza vaccination status in the current and previous seasons was compared between confirmed influenza cases and test-negative controls. IVE was calculated as (1-adjusted odds ratio)×100. RESULTS Of 3133 hospitalized patients, 529 (17%) were positive for influenza: 71% A/H1N1, 23% A/H3N2, and 7% A nonsubtyped. IVE to prevent hospitalizations was 43% (95%CI: 26%, 56%) overall, 61% (95%CI: 32%, 77%) in people younger than 65 years old and 35% (95%CI: 10%, 53%) in older people. IVE was 48% (95%CI: 30%, 61%) against influenza A/H1N1, and 15% (95%CI: -42%, 49%) against influenza A/H3N2. IVE in people vaccinated only in the previous season was 28% (95%CI: -5%, 51%). Among 417 outpatients, 146 (35%) were confirmed for influenza. IVE to prevent outpatient cases was 49% (95%CI: -9%, 76%) overall and 42% (95%CI: -33%, 74%) against influenza A/H1N1. CONCLUSIONS IVE was moderate against influenza A/H1N1 and low against influenza A/H3N2 in the 2023/24 season.
Collapse
Affiliation(s)
- Iván Martínez-Baz
- Instituto de Salud Pública de Navarra, Pamplona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain; Instituto de Investigación Sanitaria de Navarra (IdiSNA), Pamplona, Spain.
| | - Ana Navascués
- Instituto de Investigación Sanitaria de Navarra (IdiSNA), Pamplona, Spain; Clinical Microbiology Department, Hospital Universitario de Navarra, Pamplona, Spain
| | - Camino Trobajo-Sanmartín
- Instituto de Salud Pública de Navarra, Pamplona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain; Instituto de Investigación Sanitaria de Navarra (IdiSNA), Pamplona, Spain
| | - Francisco Pozo
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain; National Centre for Microbiology, Instituto de Salud Carlos III, Majadahonda, Spain
| | - Miguel Fernández-Huerta
- Instituto de Investigación Sanitaria de Navarra (IdiSNA), Pamplona, Spain; Clinical Microbiology Department, Hospital Universitario de Navarra, Pamplona, Spain
| | - Maddi Olazabal-Arruiz
- Instituto de Investigación Sanitaria de Navarra (IdiSNA), Pamplona, Spain; Clinical Microbiology Department, Hospital Universitario de Navarra, Pamplona, Spain
| | - Lucía Argente-Colas
- Instituto de Investigación Sanitaria de Navarra (IdiSNA), Pamplona, Spain; Clinical Microbiology Department, Hospital Universitario de Navarra, Pamplona, Spain
| | | | - Aitziber Echeverria
- Instituto de Salud Pública de Navarra, Pamplona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain; Instituto de Investigación Sanitaria de Navarra (IdiSNA), Pamplona, Spain
| | - Itziar Casado
- Instituto de Salud Pública de Navarra, Pamplona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain; Instituto de Investigación Sanitaria de Navarra (IdiSNA), Pamplona, Spain
| | - Carmen Ezpeleta
- Instituto de Investigación Sanitaria de Navarra (IdiSNA), Pamplona, Spain; Clinical Microbiology Department, Hospital Universitario de Navarra, Pamplona, Spain
| | - Jesús Castilla
- Instituto de Salud Pública de Navarra, Pamplona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain; Instituto de Investigación Sanitaria de Navarra (IdiSNA), Pamplona, Spain
| |
Collapse
|
2
|
Sullivan SG, Khvorov A, Carolan L, Dowson L, Hadiprodjo AJ, Sánchez-Ovando S, Liu Y, Leung VKY, Hodgson D, Blyth CC, Macnish M, Cheng AC, Haugenauer M, Clark J, Dougherty S, Macartney K, Koirala A, Khatami A, Jadhav A, Marshall H, Riley KE, Wark PAB, Delahunty C, Subbarao K, Kucharski AJ, Fox A. Antibody responses against influenza A decline with successive years of annual influenza vaccination. NPJ Vaccines 2025; 10:11. [PMID: 39820465 PMCID: PMC11739582 DOI: 10.1038/s41541-024-01057-x] [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: 08/03/2024] [Accepted: 12/19/2024] [Indexed: 01/19/2025] Open
Abstract
Influenza vaccine effectiveness and immunogenicity can be compromised with repeated vaccination. We assessed immunological markers in a cohort of healthcare workers (HCW) from six public hospitals around Australia during 2020-2021. Sera were collected pre-vaccination and ~14 and ~180 days post-vaccination and assessed in haemagglutination inhibition assay against egg-grown vaccine and equivalent cell-grown viruses. Responses to vaccination were compared by the number of prior vaccinations. Baseline sera were available for 595 HCW in 2020 and 1031 in 2021. 5% had not been vaccinated during five years prior to enrolment and 55% had been vaccinated every year. Post-vaccination titres for all vaccine antigens were lowest among HCW vaccinated in all 5-prior years and highest among HCW with 0 or 1 prior vaccinations, even after adjustment. This was observed for both influenza A subtypes and was dependent on pre-vaccination titre. Expanded cohorts are needed to better understand how this translates to vaccine effectiveness.
Collapse
Affiliation(s)
- Sheena G Sullivan
- WHO Collaborating Centre for Reference and Research on Influenza, Royal Melbourne Hospital, at the Peter Doherty Institute for Infection and Immunity, Melbourne, Australia.
- Department of Infectious Diseases, University of Melbourne, at the Peter Doherty Institute for Infection and Immunity, Melbourne, Australia.
- Department of Epidemiology, University of California, Los Angeles, USA.
- School of Clinical Sciences, Monash University, Clayton, Australia.
| | - Arseniy Khvorov
- WHO Collaborating Centre for Reference and Research on Influenza, Royal Melbourne Hospital, at the Peter Doherty Institute for Infection and Immunity, Melbourne, Australia
- Department of Infectious Diseases, University of Melbourne, at the Peter Doherty Institute for Infection and Immunity, Melbourne, Australia
| | - Louise Carolan
- WHO Collaborating Centre for Reference and Research on Influenza, Royal Melbourne Hospital, at the Peter Doherty Institute for Infection and Immunity, Melbourne, Australia
| | - Leslie Dowson
- Department of Infectious Diseases, University of Melbourne, at the Peter Doherty Institute for Infection and Immunity, Melbourne, Australia
| | - A Jessica Hadiprodjo
- WHO Collaborating Centre for Reference and Research on Influenza, Royal Melbourne Hospital, at the Peter Doherty Institute for Infection and Immunity, Melbourne, Australia
- Department of Infectious Diseases, University of Melbourne, at the Peter Doherty Institute for Infection and Immunity, Melbourne, Australia
| | - Stephany Sánchez-Ovando
- WHO Collaborating Centre for Reference and Research on Influenza, Royal Melbourne Hospital, at the Peter Doherty Institute for Infection and Immunity, Melbourne, Australia
- Department of Infectious Diseases, University of Melbourne, at the Peter Doherty Institute for Infection and Immunity, Melbourne, Australia
| | - Yi Liu
- WHO Collaborating Centre for Reference and Research on Influenza, Royal Melbourne Hospital, at the Peter Doherty Institute for Infection and Immunity, Melbourne, Australia
- Department of Infectious Diseases, University of Melbourne, at the Peter Doherty Institute for Infection and Immunity, Melbourne, Australia
| | - Vivian K Y Leung
- Department of Infectious Diseases, University of Melbourne, at the Peter Doherty Institute for Infection and Immunity, Melbourne, Australia
- Victorian Infectious Diseases Services, Royal Melbourne Hospital, Melbourne, Australia
- Infection Prevention and Surveillance Service, Royal Melbourne Hospital, Melbourne, Australia
| | - David Hodgson
- Department of Infectious Disease Epidemiology and Dynamics, London School of Hygiene and Tropical Medicine, London, UK
| | - Christopher C Blyth
- Wesfarmers Centre of Vaccines and Infectious Diseases, Telethon Kids Institute, Perth, Australia
- School of Medicine, University of Western Australia, Perth, Australia
- Department of Infectious Diseases, Perth Children's Hospital, Perth, Australia
- Department of Microbiology, PathWest Laboratory Medicine, Perth, Australia
| | - Marion Macnish
- Wesfarmers Centre of Vaccines and Infectious Diseases, Telethon Kids Institute, Perth, Australia
| | - Allen C Cheng
- School of Clinical Sciences, Monash University, Clayton, Australia
- Alfred Health, Melbourne, Australia
| | | | - Julia Clark
- Queensland Children's Hospital, Brisbane, Australia
- University of Queensland, Brisbane, Australia
| | | | | | | | - Ameneh Khatami
- The Children's Hospital at Westmead, Sydney, Australia
- Sydney Medical School, University of Sydney, Sydney, Australia
| | - Ajay Jadhav
- The Children's Hospital at Westmead, Sydney, Australia
| | - Helen Marshall
- The Women and Children's Health Network, Adelaide, Australia
- Adelaide Medical School and the Robinson Research Institute, University of Adelaide, Adelaide, Australia
| | - Kathryn E Riley
- The Women and Children's Health Network, Adelaide, Australia
| | - Peter A B Wark
- John Hunter Hospital, Newcastle, Australia
- University of Newcastle, Newcastle, Australia
| | - Catherine Delahunty
- John Hunter Hospital, Newcastle, Australia
- University of Newcastle, Newcastle, Australia
| | - Kanta Subbarao
- WHO Collaborating Centre for Reference and Research on Influenza, Royal Melbourne Hospital, at the Peter Doherty Institute for Infection and Immunity, Melbourne, Australia
- Department of Microbiology and Immunology, University of Melbourne, at the Peter Doherty Institute for Infection and Immunity, Melbourne, Australia
| | - Adam J Kucharski
- Department of Infectious Disease Epidemiology and Dynamics, London School of Hygiene and Tropical Medicine, London, UK
| | - Annette Fox
- WHO Collaborating Centre for Reference and Research on Influenza, Royal Melbourne Hospital, at the Peter Doherty Institute for Infection and Immunity, Melbourne, Australia
- Department of Infectious Diseases, University of Melbourne, at the Peter Doherty Institute for Infection and Immunity, Melbourne, Australia
| |
Collapse
|
3
|
Maltseva M, Keeshan A, Cooper C, Langlois MA. Immune imprinting: The persisting influence of the first antigenic encounter with rapidly evolving viruses. Hum Vaccin Immunother 2024; 20:2384192. [PMID: 39149872 PMCID: PMC11328881 DOI: 10.1080/21645515.2024.2384192] [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: 05/02/2024] [Revised: 07/08/2024] [Accepted: 07/21/2024] [Indexed: 08/17/2024] Open
Abstract
Immune imprinting is a phenomenon that stems from the fundamentals of immunological memory. Upon recurrent exposures to an evolving pathogen, the immune system must weigh the benefits of rapidly recalling established antibody repertoires with greater affinity to the initial variant or invest additional time and energy in producing de novo responses specific to the emerging variant. In this review, we delve into the mechanistic complexities of immune imprinting and its role in shaping subsequent immune responses, both de novo and recall, against rapidly evolving respiratory viruses such as influenza and coronaviruses. By exploring the duality of immune imprinting, we examine its potential to both enhance or hinder immune protection against disease, while emphasizing the role of host and viral factors. Finally, we explore how different vaccine platforms may affect immune imprinting and comment on vaccine strategies that can favor de novo variant-specific antibody responses.
Collapse
Affiliation(s)
- Mariam Maltseva
- Department of Biochemistry, Microbiology & Immunology, Faculty of Medicine, University of Ottawa, Ottawa, Canada
| | - Alexa Keeshan
- School of Epidemiology and Public Health, University of Ottawa Faculty of Medicine, Ottawa, ON, Canada
- Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, ON, Canada
| | - Curtis Cooper
- School of Epidemiology and Public Health, University of Ottawa Faculty of Medicine, Ottawa, ON, Canada
- Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, ON, Canada
- Department of Medicine, University of Ottawa, Ottawa, ON, Canada
- Division of Infectious Diseases, Ottawa Hospital Research Institute Clinical Epidemiology Program, Ottawa, ON, Canada
| | - Marc-André Langlois
- Department of Biochemistry, Microbiology & Immunology, Faculty of Medicine, University of Ottawa, Ottawa, Canada
- Center for Infection, Immunity, and Inflammation (CI3), University of Ottawa, Ottawa, ON, Canada
| |
Collapse
|
4
|
Bi Q, Dickerman BA, Nguyen HQ, Martin ET, Gaglani M, Wernli KJ, Balasubramani GK, Flannery B, Lipsitch M, Cobey S. Reduced Effectiveness of Repeat Influenza Vaccination: Distinguishing Among Within-Season Waning, Recent Clinical Infection, and Subclinical Infection. J Infect Dis 2024; 230:1309-1318. [PMID: 38687898 PMCID: PMC11646584 DOI: 10.1093/infdis/jiae220] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2023] [Revised: 04/15/2024] [Accepted: 04/26/2024] [Indexed: 05/02/2024] Open
Abstract
Studies have reported that prior-season influenza vaccination is associated with higher risk of clinical influenza infection among vaccinees. This effect might arise from incomplete consideration of within-season waning and recent infection. Using data from the US Flu Vaccine Effectiveness Network (2011-2012 to 2018-2019 seasons), we found that repeat vaccinees were vaccinated earlier in a season by 1 week. After accounting for waning VE, we determined that repeat vaccinees were still more likely to test positive for A(H3N2) (odds ratio, 1.11; 95% CI, 1.02-1.21) but not influenza B or A(H1N1). We documented clinical infection influenced individuals' decision to vaccinate in the following season while protecting against clinical infection of the same type/subtype. However, adjusting for recent documented clinical infections did not strongly influence the estimated effect of prior-season vaccination. In contrast, we found that adjusting for subclinical or undocumented infection could theoretically attenuate this effect. Additional investigation is needed to determine the impact of subclinical infections on vaccine effectiveness.
Collapse
Affiliation(s)
- Qifang Bi
- Department of Ecology and Evolution, University of Chicago, Chicago, Illinois
| | - Barbra A Dickerman
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Huong Q Nguyen
- Center for Clinical Epidemiology and Population Health, Marshfield Clinic Research Institute, Marshfield, Wisconsin
| | - Emily T Martin
- School of Public Health, University of Michigan, Ann Arbor, Michigan
| | - Manjusha Gaglani
- Baylor Scott & White Health, Temple, Texas
- College of Medicine, Texas A&M University, Temple
| | - Karen J Wernli
- Kaiser Permanente Washington Health Research Institute, Seattle, Washington
| | - G K Balasubramani
- Department of Epidemiology, School of Public Health, University of Pittsburgh, Pennsylvania
| | - Brendan Flannery
- National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Marc Lipsitch
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Sarah Cobey
- Department of Ecology and Evolution, University of Chicago, Chicago, Illinois
| |
Collapse
|
5
|
Escandell Rico FM, Pérez Fernández L. [Determinants of influenza vaccination in people over 65 years of age: A systematic review]. Semergen 2024; 51:102391. [PMID: 39662297 DOI: 10.1016/j.semerg.2024.102391] [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: 04/22/2024] [Revised: 07/15/2024] [Accepted: 07/23/2024] [Indexed: 12/13/2024]
Abstract
Low influenza vaccination rates among specific risk groups contribute to the burden of disease and remain a major public health challenge. Therefore, the purpose of this review was to provide the most recent evidence on the determinants of influenza vaccination in people over 65years of age. During the review process, we followed the recommendations for PRISMA systematic reviews. The bibliographic search was carried out in databases Cumulative Index to Nursing and Allied Health Literature (CINAHL), SCOPUS, MedLine / PubMed, Cochrane, Google Scholar, with free and controlled language and the search terms MeSh: Vaccination Coverage, Health Communication, Aged, Influenza Vaccines by combining them with the Boolean operators AND and OR. The search was limited to articles published between 2019-2024. Seven original research articles were included, of which observational and cross-sectional studies were identified as the main type of study. The topic of study represents education, the recruitment of the vulnerable population and the detection of sociodemographic factors that affect vaccination coverage. The findings of this review suggest that it would be beneficial to take into account communication, education and recruitment as determining factors of influenza vaccination in those over 65years of age. In this sense, effective strategies could be implemented to increase vaccination coverage in the most vulnerable population and improve future vaccination campaigns.
Collapse
Affiliation(s)
- F M Escandell Rico
- Departamento de Enfermería, Universidad de Alicante, Sant Vicent del Raspeig, Alicante, España.
| | - L Pérez Fernández
- Enfermería, Centro de Salud Almoradí, Departamento de Salud 21, Orihuela, Alicante, España
| |
Collapse
|
6
|
Cowling BJ, Wong SS, Santos JJS, Touyon L, Ort JT, Ye N, Kwok NKM, Ho F, Cheng SMS, Ip DKM, Peiris M, Webby RJ, Wilson PC, Valkenburg SA, Tsang JS, Leung NHL, Hensley SE, Cobey S. Preliminary Findings From the Dynamics of the Immune Responses to Repeat Influenza Vaccination Exposures (DRIVE I) Study: A Randomized Controlled Trial. Clin Infect Dis 2024; 79:901-909. [PMID: 39041887 PMCID: PMC11478574 DOI: 10.1093/cid/ciae380] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2024] [Revised: 06/28/2024] [Accepted: 07/18/2024] [Indexed: 07/24/2024] Open
Abstract
BACKGROUND Studies have reported that repeated annual vaccination may influence influenza vaccination effectiveness in the current season. METHODS We established a 5-year randomized placebo-controlled trial of repeated influenza vaccination (Flublok; Sanofi Pasteur) in adults 18-45 years of age. In the first 2 years, participants were randomized to receive vaccine or saline placebo as follows: placebo-placebo (P-P), placebo-vaccine (P-V), or vaccine-vaccine (V-V). Serum samples were collected each year just before vaccination and after 30 and 182 days. A subset of serum samples collected at 5 time points from 95 participants were tested for antibodies against vaccine strains. RESULTS From 23 October 2020 through 11 March 2021 we enrolled and randomized 447 adults. Among vaccinated individuals, antibody titers increased between days 0 and 30 against each of the vaccine strains, with smaller increases for repeat vaccinees who on average had higher prevaccination titers in year 2. There were statistically significant differences in the proportions of participants achieving ≥4-fold rises in antibody titer for the repeat vaccinees for influenza A(H1N1), B/Victoria, and B/Yamagata, but not for A(H3N2). Among participants who received vaccination in year 2, there were no significant differences between the P-V and V-V groups in geometric mean titers at day 30 or the proportions of participants with antibody titers ≥40 at day 30 for any of the vaccine strains. CONCLUSIONS In the first 2 years, during which influenza did not circulate, repeat and first-time vaccinees had similar postvaccination geometric mean titers to all 4 vaccine strains, indicative of similar levels of clinical protection. Clinical Trials Registration. NCT04576377.
Collapse
Affiliation(s)
- Benjamin J Cowling
- WHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
- Laboratory of Data Discovery for Health Limited, Hong Kong Science and Technology Park, New Territories, Hong Kong Special Administrative Region, China
| | - Sook-San Wong
- WHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
- HKU-Pasteur Research Pole, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Jefferson J S Santos
- Department of Microbiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Lisa Touyon
- WHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
- HKU-Pasteur Research Pole, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Jordan T Ort
- Department of Microbiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Naiqing Ye
- Department of Microbiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Natalie K M Kwok
- WHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Faith Ho
- WHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Samuel M S Cheng
- WHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Dennis K M Ip
- WHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Malik Peiris
- WHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Richard J Webby
- Department of Infectious Diseases, St Jude Children's Research Hospital, Memphis, Tennessee, USA
| | - Patrick C Wilson
- Gale and Ira Drukier Institute for Children's Health, Weill Cornell Medicine, New York, New York, USA
| | - Sophie A Valkenburg
- HKU-Pasteur Research Pole, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
- Department of Microbiology and Immunology, Peter Doherty Institute for Infection and Immunity, University of Melbourne, Melbourne, Victoria, Australia
| | - John S Tsang
- Yale Center for Systems and Engineering Immunology and Department of Immunobiology, Yale University School of Medicine, New Haven, Connecticut, USA
| | - Nancy H L Leung
- WHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
- Laboratory of Data Discovery for Health Limited, Hong Kong Science and Technology Park, New Territories, Hong Kong Special Administrative Region, China
| | - Scott E Hensley
- Department of Microbiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Sarah Cobey
- Department of Ecology and Evolution, University of Chicago, Chicago, Illinois, USA
| |
Collapse
|
7
|
Sullivan S, Khvorov A, Carolan L, Dowson L, Hadiprodjo J, Sánchez-Ovando S, Liu Y, Leung V, Hodgson D, Blyth C, Macnish M, Cheng A, Hagenauer M, Clark J, Dougherty S, Macartney K, Koirala A, Khatami A, Jadhav A, Marshall H, Riley K, Wark P, Delahunty C, Subbarao K, Kucharski A, Fox A. Antibody responses against influenza A decline with successive years of annual influenza vaccination: results from an Australian Healthcare Worker cohort. RESEARCH SQUARE 2024:rs.3.rs-4854923. [PMID: 39372918 PMCID: PMC11451718 DOI: 10.21203/rs.3.rs-4854923/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/08/2024]
Abstract
Influenza vaccine effectiveness and immunogenicity can be compromised with repeated vaccination. We assessed immunological markers in a cohort of healthcare workers (HCW) from six public hospitals around Australia during 2020-2021. Sera were collected pre-vaccination and ~14 and ~ 180 days post-vaccination and assessed in haemagglutination inhibition assay against egg-grown vaccine and equivalent cell-grown viruses. Responses to vaccination were compared by the number of prior vaccinations. Baseline sera were available for 595 HCW in 2020 and 1031 in 2021. 5% had not been vaccinated during five years prior to enrolment and 55% had been vaccinated every year. Post-vaccination titres for all vaccine antigens were lowest among HCW vaccinated in all 5-prior years and highest among HCW with 0 or 1 prior vaccinations, even after adjustment. This was observed for both influenza A subtypes and was dependent on pre-vaccination titre. Expanded cohorts are needed to better understand how this translates to vaccine effectiveness.
Collapse
Affiliation(s)
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Kathryn Riley
- Adelaide Medical School and Robinson Research Institute
| | | | | | | | | | - Annette Fox
- Peter Doherty Institute for Infection and Immunity
| |
Collapse
|
8
|
Shrestha AC, Field E, Thangarajah D, Andrews R, Ware RS, Lambert SB. Influenza Epidemiology and Vaccine Effectiveness Following Funded Influenza Vaccine in Queensland, Australia, 2022. Influenza Other Respir Viruses 2024; 18:e70007. [PMID: 39320009 PMCID: PMC11423337 DOI: 10.1111/irv.70007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2024] [Revised: 08/19/2024] [Accepted: 08/29/2024] [Indexed: 09/26/2024] Open
Abstract
BACKGROUND In 2022, publicly funded influenza vaccine was made available to all residents of Queensland, Australia. This study compared influenza epidemiology in 2022 with previous years (2017-2021) and estimated influenza vaccine effectiveness (VE) during 2022. METHODS The study involved a descriptive analysis of influenza notifications and a case-control study to estimate VE. Cases were notifications of laboratory-confirmed influenza, and controls were individuals who were test negative for COVID-19. Cases and controls were matched on age, postcode and specimen collection date. VE against hospitalisation was investigated by matching hospitalised cases to controls. Conditional logistic regression models were adjusted for sex. RESULTS In 2022, Queensland experienced an early influenza season onset (April-May) and high case numbers (n = 45,311), compared to the previous 5 years (annual average: 29,364) and 2020-2021 (2020:6047; 2021:301) during the COVID-19 pandemic. Adjusted VE (VEadj) against laboratory-confirmed influenza was 39% (95% confidence interval [CI]: 37-41), highest for children aged 30 months to < 5 years (61%, 95% CI: 49-70) and lowest for adults aged ≥ 65 years (24%, 95% CI: 17-30). VEadj against influenza-associated hospitalisation was 54% (95% CI: 48-59). Among children < 9 years of age, VEadj against laboratory-confirmed influenza (55%, 95% CI: 49-61) and hospitalisation (67%, 95% CI: 39-82) was higher in those who received a complete dose schedule. CONCLUSION In Queensland, the 2022 influenza season started earlier than the previous 5 years. VE against influenza notifications varied across age groups. VE estimates against influenza-associated hospitalisation were higher than those against laboratory-confirmed influenza.
Collapse
Affiliation(s)
- Ashish C Shrestha
- Queensland Public Health and Scientific Services, Queensland Health, Brisbane, Queensland, Australia
- National Centre for Epidemiology and Population Health, Australian National University, Canberra, Australian Capital Territory, Australia
| | - Emma Field
- National Centre for Epidemiology and Population Health, Australian National University, Canberra, Australian Capital Territory, Australia
| | - Dharshi Thangarajah
- Department of Health and Aged Care, Canberra, Australian Capital Territory, Australia
| | - Ross Andrews
- Queensland Public Health and Scientific Services, Queensland Health, Brisbane, Queensland, Australia
- National Centre for Epidemiology and Population Health, Australian National University, Canberra, Australian Capital Territory, Australia
| | - Robert S Ware
- Griffith Biostatistics Unit, Griffith University, Brisbane, Queensland, Australia
| | - Stephen B Lambert
- Queensland Public Health and Scientific Services, Queensland Health, Brisbane, Queensland, Australia
- National Centre for Epidemiology and Population Health, Australian National University, Canberra, Australian Capital Territory, Australia
- National Centre for Immunisation Research and Surveillance, Sydney, New South Wales, Australia
| |
Collapse
|
9
|
Okoli GN, Righolt CH, Zhang G, Alessi-Severini S, Van Caeseele P, Kuo IF, Mahmud SM. Socioeconomic, health-related, and primary care physician characteristics associated with adherence to seasonal influenza vaccination in Manitoba, Canada: A population-wide record-linkage cohort study. CANADIAN JOURNAL OF PUBLIC HEALTH = REVUE CANADIENNE DE SANTE PUBLIQUE 2024; 115:585-598. [PMID: 38806938 PMCID: PMC11382643 DOI: 10.17269/s41997-024-00893-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/27/2023] [Accepted: 04/26/2024] [Indexed: 05/30/2024]
Abstract
OBJECTIVE There is a lack of published evidence on factors associated with adherence (maintenance of cumulative vaccination) to seasonal influenza vaccination (SIV) in Manitoba, Canada. We sought to assess the associations. METHODS A cohort study utilizing Manitoba administrative health databases. Participants received SIV in 2010/11 influenza season, remained registered Manitoba residents and received at least one SIV during the 2011/12‒2019/20 seasons. We dichotomized adherence into "more adherent" (6‒9 SIVs) and "less adherent" (1‒5 SIVs) and used multivariable adjusted generalized estimating equation logistic regression models to assess association between adherence and socioeconomic, health-related, and primary care physician (PCP) characteristics, stratified by age group (< 5, 5‒17, 18‒44, 45‒64, ≥ 65) and sex. Results are adjusted odds ratios with 95% confidence intervals. RESULTS There were 152,493 participants. Males had lower odds of being more adherent except among ≥ 65-year-olds (1.03, 95% CI 1.01‒1.05). Compared with the lowest income quintile, those in higher income quintiles had higher odds of being more adherent. The odds mostly increased with increase in income quintile. Those with more contact with their PCP/hospitalization one year prior had higher odds of being more adherent. The odds increased with increased contact among those 18‒44, 45‒64 and ≥ 65 years old. Those who had PCP with more years of practice had higher odds of being more adherent. The odds increased as years of practice increased. These observations were mostly consistent irrespective of sex. CONCLUSION Female gender, having higher income, having more contact with the health system, and having an experienced PCP may determine increased adherence to SIV in Manitoba. These findings require attention.
Collapse
Affiliation(s)
- George N Okoli
- College of Pharmacy, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB, Canada.
- Vaccine and Drug Evaluation Centre, Department of Community Health Sciences, University of Manitoba, Winnipeg, MB, Canada.
- George and Fay Yee Centre for Healthcare Innovation, Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB, Canada.
| | - Christiaan H Righolt
- Vaccine and Drug Evaluation Centre, Department of Community Health Sciences, University of Manitoba, Winnipeg, MB, Canada
| | - Geng Zhang
- College of Pharmacy, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB, Canada
- Vaccine and Drug Evaluation Centre, Department of Community Health Sciences, University of Manitoba, Winnipeg, MB, Canada
| | - Silvia Alessi-Severini
- College of Pharmacy, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB, Canada
| | - Paul Van Caeseele
- Departments of Medical Microbiology and Infectious Diseases, and Pediatrics and Child Health, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB, Canada
- Cadham Provincial Public Health Laboratories, Manitoba Health and Seniors Care, Winnipeg, MB, Canada
| | - I Fan Kuo
- College of Pharmacy, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB, Canada
- Optimal Use and Evaluation, Ministry of Health, Government of British Columbia, Vancouver, BC, Canada
| | - Salaheddin M Mahmud
- College of Pharmacy, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB, Canada
- Vaccine and Drug Evaluation Centre, Department of Community Health Sciences, University of Manitoba, Winnipeg, MB, Canada
| |
Collapse
|
10
|
Lim WW, Feng S, Wong SS, Sullivan SG, Cowling BJ. Hemagglutination Inhibition Antibody Titers as Mediators of Influenza Vaccine Efficacy Against Symptomatic Influenza A(H1N1), A(H3N2), and B/Victoria Virus Infections. J Infect Dis 2024; 230:152-160. [PMID: 39052734 PMCID: PMC11272062 DOI: 10.1093/infdis/jiae122] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2023] [Revised: 02/24/2024] [Accepted: 03/06/2024] [Indexed: 03/09/2024] Open
Abstract
BACKGROUND The hemagglutination inhibition antibody (HAI) titer contributes only a part of vaccine-induced protection against influenza virus infections. Using causal mediation analysis, we quantified the proportion of vaccine efficacy mediated by postvaccination HAI titers. METHODS We conducted causal mediation analyses using data from a randomized, active-comparator controlled, phase III, trial of an inactivated, split-virion seasonal quadrivalent influenza vaccine in children conducted from October 2010 to December 2011 in 8 countries. Vaccine efficacy was estimated using a weighted Cox proportional hazards model. Estimates were decomposed into the direct and indirect effects mediated by postvaccination HAI titers. RESULTS The proportions of vaccine efficacy mediated by postvaccination HAI titers were estimated to be 22% (95% confidence interval, 18%--47%) for influenza A(H1N1), 20% (16%-39%) for influenza A(H3N2), and 37% (26%-85%) for influenza B/Victoria. CONCLUSIONS HAI titers partially mediate influenza vaccine efficacy against influenza A(H1N1), A(H3N2), and B/Victoria. Our estimates were lower than in previous studies, possibly reflecting expected heterogeneity in antigenic similarity between vaccine and circulating viruses across seasons.
Collapse
Affiliation(s)
- Wey Wen Lim
- WHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
- Laboratory of Data Discovery for Health Limited, Hong Kong Science and Technology Park, New Territories, Hong Kong SAR, China
| | - Shuo Feng
- Oxford Vaccine Group, Department of Paediatrics, University of Oxford, Oxford, United Kingdom
| | - Sook-San Wong
- WHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
- HKU-Pasteur Research Pole, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Sheena G Sullivan
- WHO Collaborating Centre for Reference and Research on Influenza, Royal Melbourne Hospital, and Department of Infectious Diseases, University of Melbourne, Peter Doherty Institute for Infection and Immunity, Melbourne, Australia
- Department of Epidemiology, University of California, California, Los Angeles, USA
| | - Benjamin J Cowling
- WHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
- Laboratory of Data Discovery for Health Limited, Hong Kong Science and Technology Park, New Territories, Hong Kong SAR, China
| |
Collapse
|
11
|
Cowling BJ, Wong SS, Santos JJS, Touyon L, Ort J, Ye N, Kwok NKM, Ho F, Cheng SMS, Ip DKM, Peiris M, Webby RJ, Wilson PC, Valkenburg SA, Tsang JS, Leung NHL, Hensley SE, Cobey S. Preliminary findings from the Dynamics of the Immune Responses to Repeat Influenza Vaccination Exposures (DRIVE I) Study: a Randomized Controlled Trial. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.05.16.24307455. [PMID: 38798684 PMCID: PMC11118649 DOI: 10.1101/2024.05.16.24307455] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/29/2024]
Abstract
Background Studies have reported that repeated annual vaccination may influence the effectiveness of the influenza vaccination in the current season. The mechanisms underlying these differences are unclear but might include "focusing" of the adaptive immune response to older strains. Methods We established a 5-year randomized placebo-controlled trial of repeated influenza vaccination (Flublok, Sanofi Pasteur) in adults 18-45 years of age. Participants were randomized equally between five groups, with planned annual receipt of vaccination (V) or saline placebo (P) as follows: P-P-P-P-V, P-P-P-V-V, P-P-V-V-V, P-V-V-V-V, or V-V-V-VV. Serum samples were collected each year just before vaccination and after 30 and 182 days. A subset of sera were tested by hemagglutination inhibition assays, focus reduction neutralization tests and enzyme-linked immunosorbent assays against vaccine strains. Results From 23 October 2020 through 11 March 2021 we enrolled and randomized 447 adults. We selected sera from 95 participants at five timepoints from the first two study years for testing. Among vaccinated individuals, antibody titers increased between days 0 and 30 against each of the vaccine strains, with substantial increases for first-time vaccinees and smaller increases for repeat vaccinees, who had higher pre-vaccination titers in year 2. There were statistically significant reductions in the proportion of participants achieving a four-fold greater rise in antibody titer for the repeat vaccinees for A(H1N1), B/Victoria and B/Yamagata, but not for influenza A(H3N2). There were no statistically significant differences between groups in geometric mean titers at day 30 or the proportions of participants with antibody titers ≥40 at day 30 for any of the vaccine strains. Conclusions In the first two years, repeat vaccinees and first-time vaccinees had similar post-vaccination geometric mean titers to all four vaccine strains, indicative of similar levels of clinical protection. The vaccine strains of A(H1N1) and A(H3N2) were updated in year 2, providing an opportunity to explore antigenic distances between those strains in humans in subsequent years.
Collapse
Affiliation(s)
- Benjamin J. Cowling
- WHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
- Laboratory of Data Discovery for Health Limited, Hong Kong Science and Technology Park, New Territories, Hong Kong Special Administrative Region, China
| | - Sook-San Wong
- WHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
- HKU-Pasteur Research Pole, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Jefferson J. S. Santos
- Department of Microbiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104
| | - Lisa Touyon
- WHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
- HKU-Pasteur Research Pole, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Jordan Ort
- Department of Microbiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104
| | - Naiqing Ye
- Department of Microbiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104
| | - Natalie K. M. Kwok
- WHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Faith Ho
- WHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Samuel M. S. Cheng
- WHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Dennis K. M. Ip
- WHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Malik Peiris
- WHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Richard J. Webby
- Department of Infectious Diseases, St. Jude Children’s Research Hospital, Memphis, TN 38105
| | - Patrick C. Wilson
- Gale and Ira Drukier Institute for Children’s Health, Weill Cornell Medicine, New York, NY 10021
| | - Sophie A. Valkenburg
- HKU-Pasteur Research Pole, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
- Department of Microbiology and Immunology, Peter Doherty Institute for Infection and Immunity, University of Melbourne, Melbourne, Australia
| | - John S. Tsang
- Yale Center for Systems and Engineering Immunology and Department of Immunobiology, Yale University School of Medicine, New Haven, CT 06520
| | - Nancy H. L. Leung
- WHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
- Laboratory of Data Discovery for Health Limited, Hong Kong Science and Technology Park, New Territories, Hong Kong Special Administrative Region, China
| | - Scott E. Hensley
- Department of Microbiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104
| | - Sarah Cobey
- Department of Ecology and Evolution, University of Chicago, Chicago, IL 60637
| |
Collapse
|
12
|
Zhong S, Ng TWY, Skowronski DM, Iuliano AD, Leung NHL, Perera RAPM, Ho F, Fang VJ, Tam YH, Ip DKM, Havers FG, Fry AM, Aziz-Baumgartner E, Barr IG, Peiris M, Thompson MG, Cowling BJ. Influenza A(H3N2) Antibody Responses to Standard-Dose Versus Enhanced Influenza Vaccine Immunogenicity in Older Adults and Prior Season's Vaccine Status. J Infect Dis 2024; 229:1451-1459. [PMID: 37950884 PMCID: PMC11095559 DOI: 10.1093/infdis/jiad497] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2023] [Revised: 10/19/2023] [Accepted: 11/09/2023] [Indexed: 11/13/2023] Open
Abstract
BACKGROUND Annual influenza vaccination is recommended for older adults but repeated vaccination with standard-dose influenza vaccine has been linked to reduced immunogenicity and effectiveness, especially against A(H3N2) viruses. METHODS Community-dwelling Hong Kong adults aged 65-82 years were randomly allocated to receive 2017-2018 standard-dose quadrivalent, MF59-adjuvanted trivalent, high-dose trivalent, and recombinant-HA quadrivalent vaccination. Antibody response to unchanged A(H3N2) vaccine antigen was compared among participants with and without self-reported prior year (2016-2017) standard-dose vaccination. RESULTS Mean fold rise (MFR) in antibody titers from day 0 to day 30 by hemagglutination inhibition and virus microneutralization assays were lower among 2017-2018 standard-dose and enhanced vaccine recipients with (range, 1.7-3.0) versus without (range, 4.3-14.3) prior 2016-2017 vaccination. MFR was significantly reduced by about one-half to four-fifths for previously vaccinated recipients of standard-dose and all 3 enhanced vaccines (β range, .21-.48). Among prior-year vaccinated older adults, enhanced vaccines induced higher 1.43 to 2.39-fold geometric mean titers and 1.28 to 1.74-fold MFR versus standard-dose vaccine by microneutralization assay. CONCLUSIONS In the context of unchanged A(H3N2) vaccine strain, prior-year vaccination was associated with reduced antibody response among both standard-dose and enhanced influenza vaccine recipients. Enhanced vaccines improved antibody response among older adults with prior-year standard-dose vaccination.
Collapse
Affiliation(s)
- Shuyi Zhong
- World Health Organization Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Tiffany W Y Ng
- World Health Organization Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Danuta M Skowronski
- Epidemiology Services, British Columbia Centre for Disease Control, Vancouver, Canada
- School of Population and Public Health, University of British Columbia, Vancouver, Canada
| | - A Danielle Iuliano
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Nancy H L Leung
- World Health Organization Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, The University of Hong Kong, Hong Kong Special Administrative Region, China
- Laboratory of Data Discovery for Health Limited, Hong Kong Science and Technology Park, Hong Kong Special Administrative Region, China
| | - Ranawaka A P M Perera
- World Health Organization Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Faith Ho
- World Health Organization Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Vicky J Fang
- World Health Organization Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Yat Hung Tam
- World Health Organization Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Dennis K M Ip
- World Health Organization Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Fiona G Havers
- Division of Viral Diseases, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Alicia M Fry
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | | | - Ian G Barr
- World Health Organization Collaborating Centre for Reference and Research on Influenza, Peter Doherty Institute for Infection and Immunity, Melbourne, Victoria, Australia
- Department of Microbiology and Immunology, University of Melbourne, Melbourne, Victoria, Australia
| | - Malik Peiris
- World Health Organization Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, The University of Hong Kong, Hong Kong Special Administrative Region, China
- Centre of Immunology and Infection, Hong Kong Science and Technology Park, Hong Kong Special Administrative Region, China
| | - Mark G Thompson
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Benjamin J Cowling
- World Health Organization Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, The University of Hong Kong, Hong Kong Special Administrative Region, China
- Laboratory of Data Discovery for Health Limited, Hong Kong Science and Technology Park, Hong Kong Special Administrative Region, China
| |
Collapse
|
13
|
Torresi J, Edeling MA. Immune imprinting of SARS-CoV-2 responses: changing first immune impressions. mSphere 2024; 9:e0075823. [PMID: 38477577 PMCID: PMC11036796 DOI: 10.1128/msphere.00758-23] [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] [Indexed: 03/14/2024] Open
Abstract
Since the emergence of the ancestral severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus and the successful rollout of protective vaccines based on this original strain, SARS-CoV-2 has evolved into several variants, in a classical virus-host arms race typical of RNA viruses, to progressively evade the host immune response. Next-generation bivalent vaccines have been developed with broader protection against emerging variants than the ancestral vaccine. Nonetheless, even these vaccines show lower protection against the latest Omicron variants. Immune printing describes how an immune response to an immunogen is impacted by earlier exposures to a related immunogen. Several lessons about the effect of immune imprinting on responses to SARS-CoV-2 infection and vaccination, including age-associated impacts, can be learned from influenza. Understanding the mechanisms of imprinting of SARS-CoV-2 will be important to inform the design of vaccines that produce broader and more durable protective immune responses to emerging variants.
Collapse
Affiliation(s)
- J. Torresi
- Department of Microbiology and Immunology, The Peter Doherty Institute for Infection and Immunity, University of Melbourne, Parkville, Victoria, Australia
| | - M. A. Edeling
- Department of Microbiology and Immunology, The Peter Doherty Institute for Infection and Immunity, University of Melbourne, Parkville, Victoria, Australia
| |
Collapse
|
14
|
Bi Q, Dickerman BA, Nguyen HQ, Martin ET, Gaglani M, Wernli KJ, Balasubramani GK, Flannery B, Lipsitch M, Cobey S. Reduced effectiveness of repeat influenza vaccination: distinguishing among within-season waning, recent clinical infection, and subclinical infection. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2023.03.12.23287173. [PMID: 37016669 PMCID: PMC10071822 DOI: 10.1101/2023.03.12.23287173] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 06/19/2023]
Abstract
Studies have reported that prior-season influenza vaccination is associated with higher risk of clinical influenza infection among vaccinees. This effect might arise from incomplete consideration of within-season waning and recent infection. Using data from the US Flu Vaccine Effectiveness (VE) Network (2011-2012 to 2018-2019 seasons), we found that repeat vaccinees were vaccinated earlier in a season by one week. After accounting for waning VE, repeat vaccinees were still more likely to test positive for A(H3N2) (OR=1.11, 95%CI:1.02-1.21) but not for influenza B or A(H1N1). We found that clinical infection influenced individuals' decision to vaccinate in the following season while protecting against clinical infection of the same (sub)type. However, adjusting for recent clinical infections did not strongly influence the estimated effect of prior-season vaccination. In contrast, we found that adjusting for subclinical infection could theoretically attenuate this effect. Additional investigation is needed to determine the impact of subclinical infections on VE.
Collapse
Affiliation(s)
- Qifang Bi
- University of Chicago, Chicago, Illinois, USA
| | | | - Huong Q Nguyen
- Center for Clinical Epidemiology & Population Health, Marshfield Clinic Research Institute, Marshfield, Wisconsin, USA
| | - Emily T Martin
- University of Michigan School of Public Health, Ann Arbor, Michigan, USA
| | - Manjusha Gaglani
- Baylor Scott & White Health, Temple, Texas, USA
- Texas A&M University College of Medicine, Temple, Texas, USA
| | - Karen J Wernli
- Kaiser Permanente Bernard J. Tyson School of Medicine, Seattle, Washington, USA
| | - G K Balasubramani
- University of Pittsburgh School of Public Health, Pittsburgh, Pennsylvania, USA
| | - Brendan Flannery
- National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, GA, US
| | - Marc Lipsitch
- Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Sarah Cobey
- University of Chicago, Chicago, Illinois, USA
| |
Collapse
|
15
|
Liu F, Gross FL, Joshi S, Gaglani M, Naleway AL, Murthy K, Groom HC, Wesley MG, Edwards LJ, Grant L, Kim SS, Sambhara S, Gangappa S, Tumpey T, Thompson MG, Fry AM, Flannery B, Dawood FS, Levine MZ. Redirecting antibody responses from egg-adapted epitopes following repeat vaccination with recombinant or cell culture-based versus egg-based influenza vaccines. Nat Commun 2024; 15:254. [PMID: 38177116 PMCID: PMC10767121 DOI: 10.1038/s41467-023-44551-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2023] [Accepted: 12/19/2023] [Indexed: 01/06/2024] Open
Abstract
Repeat vaccination with egg-based influenza vaccines could preferentially boost antibodies targeting the egg-adapted epitopes and reduce immunogenicity to circulating viruses. In this randomized trial (Clinicaltrials.gov: NCT03722589), sera pre- and post-vaccination with quadrivalent inactivated egg-based (IIV4), cell culture-based (ccIIV4), and recombinant (RIV4) influenza vaccines were collected from healthcare personnel (18-64 years) in 2018-19 (N = 723) and 2019-20 (N = 684) influenza seasons. We performed an exploratory analysis. Vaccine egg-adapted changes had the most impact on A(H3N2) immunogenicity. In year 1, RIV4 induced higher neutralizing and total HA head binding antibodies to cell- A(H3N2) virus than ccIIV4 and IIV4. In year 2, among the 7 repeat vaccination arms (IIV4-IIV4, IIV4-ccIIV4, IIV4-RIV4, RIV4-ccIIV4, RIV4-RIV4, ccIIV4-ccIIV4 and ccIIV4-RIV4), repeat vaccination with either RIV4 or ccIIV4 further improved antibody responses to circulating viruses with decreased neutralizing antibody egg/cell ratio. RIV4 also had higher post-vaccination A(H1N1)pdm09 and A(H3N2) HA stalk antibodies in year 1, but there was no significant difference in HA stalk antibody fold rise among vaccine groups in either year 1 or year 2. Multiple seasons of non-egg-based vaccination may be needed to redirect antibody responses from immune memory to egg-adapted epitopes and re-focus the immune responses towards epitopes on the circulating viruses to improve vaccine effectiveness.
Collapse
Affiliation(s)
- Feng Liu
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - F Liaini Gross
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Sneha Joshi
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Manjusha Gaglani
- Baylor Scott & White Health, Temple, TX, USA
- Baylor College of Medicine, Temple, TX, USA
- Texas A & M University, College of Medicine, Temple, TX, USA
| | - Allison L Naleway
- Kaiser Permanente Northwest Center for Health Research, Portland, OR, USA
| | | | - Holly C Groom
- Kaiser Permanente Northwest Center for Health Research, Portland, OR, USA
| | - Meredith G Wesley
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, GA, USA
- Abt Associates, Atlanta, GA, USA
| | | | - Lauren Grant
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Sara S Kim
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | | | | | - Terrence Tumpey
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Mark G Thompson
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Alicia M Fry
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Brendan Flannery
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Fatimah S Dawood
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Min Z Levine
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, GA, USA.
| |
Collapse
|
16
|
Moa A, Kunasekaran M, Akhtar Z, Costantino V, MacIntyre CR. Systematic review of influenza vaccine effectiveness against laboratory-confirmed influenza among older adults living in aged care facilities. Hum Vaccin Immunother 2023; 19:2271304. [PMID: 37929779 PMCID: PMC10629430 DOI: 10.1080/21645515.2023.2271304] [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: 07/09/2023] [Accepted: 10/12/2023] [Indexed: 11/07/2023] Open
Abstract
We estimated the effectiveness of influenza vaccines in preventing laboratory-confirmed influenza among older adults in aged care. Electronic database searches were conducted using search terms, and studies were selected as per the selection criteria. Fourteen studies were included for final review. The studies exhibited considerable variation in reported vaccine effectiveness (VE) across different seasons. Among the observational studies, VE ranged from 7.2% to 89.8% against laboratory-confirmed influenza across different vaccines. Randomized clinical trials demonstrated a 17% reduction in infection rates with the adjuvanted trivalent vaccine. The limitations include the small number of included studies conducted in different countries or regions, varied seasons, variations in diagnostic testing methods, a focus on the A/H3N2 strain, and few studies available on the effectiveness of enhanced influenza vaccines in aged care settings. Despite challenges associated with achieving optimal protection, the studies showed the benefits of influenza vaccination in the elderly residents.
Collapse
Affiliation(s)
- Aye Moa
- Biosecurity Program, The Kirby Institute, The University of New South Wales, Sydney, NSW, Australia
| | - Mohana Kunasekaran
- Biosecurity Program, The Kirby Institute, The University of New South Wales, Sydney, NSW, Australia
| | - Zubair Akhtar
- Biosecurity Program, The Kirby Institute, The University of New South Wales, Sydney, NSW, Australia
| | - Valentina Costantino
- Biosecurity Program, The Kirby Institute, The University of New South Wales, Sydney, NSW, Australia
| | - C. Raina MacIntyre
- Biosecurity Program, The Kirby Institute, The University of New South Wales, Sydney, NSW, Australia
- College of Public Service and Community Solutions, Arizona State University, Phoenix, AZ, USA
| |
Collapse
|
17
|
Martínez-Baz I, Fernández-Huerta M, Navascués A, Pozo F, Trobajo-Sanmartín C, Casado I, Echeverria A, Ezpeleta C, Castilla J. Influenza Vaccine Effectiveness in Preventing Laboratory-Confirmed Influenza Cases and Hospitalizations in Navarre, Spain, 2022-2023. Vaccines (Basel) 2023; 11:1478. [PMID: 37766154 PMCID: PMC10534462 DOI: 10.3390/vaccines11091478] [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: 08/10/2023] [Revised: 09/01/2023] [Accepted: 09/09/2023] [Indexed: 09/29/2023] Open
Abstract
We estimated influenza vaccine effectiveness (IVE) in preventing outpatient and hospitalized cases in the 2022-2023 season. A test-negative design included a representative sample of outpatients and all hospitalized patients with influenza-like illness (ILI) from October 2022 to May 2023 in Navarre, Spain. ILI patients were tested by PCR for influenza virus. Influenza vaccination status was compared between confirmed influenza cases and test-negative controls. Among 3321 ILI patients tested, IVE to prevent influenza cases was 34% (95% confidence interval (CI): 16 to 48) overall, 85% (95%CI: 63 to 94) against influenza B, and 28% (95%CI: 3 to 46) against A(H3N2). Among 558 outpatients, 222 (40%) were confirmed for influenza: 55% A(H3N2), 11% A(H1N1), and 31% B. Overall, IVE to prevent outpatient cases was 48% (95%CI: 8 to 70), 88% (95%CI: 3 to 98) against influenza B, and 50% (95%CI: -4 to 76) against A(H3N2). Of 2763 hospitalized patients, 349 (13%) were positive for influenza: 64% A(H3N2), 17% A(H1N1), and 8% B. IVE to prevent hospitalization was 24% (95%CI: -1 to 42) overall, 82% (95%CI: 49 to 93) against influenza B, and 16% (95%CI: -17 to 40) against A(H3N2). No IVE was observed in preventing influenza A(H1N1). IVE was high to prevent influenza B, moderate against A(H3N2) and null against A(H1N1). A lower proportion of influenza B cases may explain the smaller IVE in hospitalized patients than in outpatients. The null IVE against A(H1N1) was consistent with the observed antigenic drift and supports the new composition of the 2023-2024 influenza vaccine.
Collapse
Affiliation(s)
- Iván Martínez-Baz
- Instituto de Salud Pública de Navarra, 31003 Pamplona, Spain; (I.M.-B.); (C.T.-S.); (I.C.); (A.E.)
- CIBER Epidemiología y Salud Pública (CIBERESP), 28029 Madrid, Spain;
- Navarre Institute for Health Research (IdiSNA), 31008 Pamplona, Spain; (M.F.-H.); (C.E.)
| | - Miguel Fernández-Huerta
- Navarre Institute for Health Research (IdiSNA), 31008 Pamplona, Spain; (M.F.-H.); (C.E.)
- Clinical Microbiology Department, Hospital Universitario de Navarra, 31008 Pamplona, Spain
| | - Ana Navascués
- Navarre Institute for Health Research (IdiSNA), 31008 Pamplona, Spain; (M.F.-H.); (C.E.)
- Clinical Microbiology Department, Hospital Universitario de Navarra, 31008 Pamplona, Spain
| | - Francisco Pozo
- CIBER Epidemiología y Salud Pública (CIBERESP), 28029 Madrid, Spain;
- National Centre for Microbiology, Instituto de Salud Carlos III, 28222 Majadahonda, Spain
| | - Camino Trobajo-Sanmartín
- Instituto de Salud Pública de Navarra, 31003 Pamplona, Spain; (I.M.-B.); (C.T.-S.); (I.C.); (A.E.)
- CIBER Epidemiología y Salud Pública (CIBERESP), 28029 Madrid, Spain;
- Navarre Institute for Health Research (IdiSNA), 31008 Pamplona, Spain; (M.F.-H.); (C.E.)
| | - Itziar Casado
- Instituto de Salud Pública de Navarra, 31003 Pamplona, Spain; (I.M.-B.); (C.T.-S.); (I.C.); (A.E.)
- CIBER Epidemiología y Salud Pública (CIBERESP), 28029 Madrid, Spain;
- Navarre Institute for Health Research (IdiSNA), 31008 Pamplona, Spain; (M.F.-H.); (C.E.)
| | - Aitziber Echeverria
- Instituto de Salud Pública de Navarra, 31003 Pamplona, Spain; (I.M.-B.); (C.T.-S.); (I.C.); (A.E.)
- Navarre Institute for Health Research (IdiSNA), 31008 Pamplona, Spain; (M.F.-H.); (C.E.)
| | - Carmen Ezpeleta
- Navarre Institute for Health Research (IdiSNA), 31008 Pamplona, Spain; (M.F.-H.); (C.E.)
- Clinical Microbiology Department, Hospital Universitario de Navarra, 31008 Pamplona, Spain
| | - Jesús Castilla
- Instituto de Salud Pública de Navarra, 31003 Pamplona, Spain; (I.M.-B.); (C.T.-S.); (I.C.); (A.E.)
- CIBER Epidemiología y Salud Pública (CIBERESP), 28029 Madrid, Spain;
- Navarre Institute for Health Research (IdiSNA), 31008 Pamplona, Spain; (M.F.-H.); (C.E.)
| |
Collapse
|
18
|
Hu YF, Yuen TTT, Gong HR, Hu B, Hu JC, Lin XS, Rong L, Zhou CL, Chen LL, Wang X, Lei C, Yau T, Hung IFN, To KKW, Yuen KY, Zhang BZ, Chu H, Huang JD. Rational design of a booster vaccine against COVID-19 based on antigenic distance. Cell Host Microbe 2023; 31:1301-1316.e8. [PMID: 37527659 DOI: 10.1016/j.chom.2023.07.004] [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: 01/11/2023] [Revised: 06/03/2023] [Accepted: 07/07/2023] [Indexed: 08/03/2023]
Abstract
Current COVID-19 vaccines are highly effective against symptomatic disease, but repeated booster doses using vaccines based on the ancestral strain offer limited additional protection against SARS-CoV-2 variants of concern (VOCs). To address this, we used antigenic distance to in silico select optimized booster vaccine seed strains effective against both current and future VOCs. Our model suggests that a SARS-CoV-1-based booster vaccine has the potential to cover a broader range of VOCs. Candidate vaccines including the spike protein from ancestral SARS-CoV-2, Delta, Omicron (BA.1), SARS-CoV-1, or MERS-CoV were experimentally evaluated in mice following two doses of the BNT162b2 vaccine. The SARS-CoV-1-based booster vaccine outperformed other candidates in terms of neutralizing antibody breadth and duration, as well as protective activity against Omicron (BA.2) challenge. This study suggests a unique strategy for selecting booster vaccines based on antigenic distance, which may be useful in designing future booster vaccines as new SARS-CoV-2 variants emerge.
Collapse
Affiliation(s)
- Ye-Fan Hu
- School of Biomedical Sciences, Li Ka Shing Faculty of Medicine, University of Hong Kong, 3/F, Laboratory Block, 21 Sassoon Road, Hong Kong, China; Department of Medicine, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, University of Hong Kong, 4/F Professional Block, Queen Mary Hospital, 102 Pokfulam Road, Hong Kong, China; BayVax Biotech Limited, Hong Kong Science Park, Pak Shek Kok, New Territories, Hong Kong, China
| | - Terrence Tsz-Tai Yuen
- Department of Microbiology, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, University of Hong Kong, 19/F Block T, Queen Mary Hospital, 102 Pokfulam Road, Hong Kong, China
| | - Hua-Rui Gong
- Chinese Academy of Sciences (CAS) Key Laboratory of Quantitative Engineering Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, 1068 Xueyuan Avenue, Shenzhen University Town, Shenzhen 518055, China; School of Biomedical Sciences, Li Ka Shing Faculty of Medicine, University of Hong Kong, 3/F, Laboratory Block, 21 Sassoon Road, Hong Kong, China
| | - Bingjie Hu
- Department of Microbiology, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, University of Hong Kong, 19/F Block T, Queen Mary Hospital, 102 Pokfulam Road, Hong Kong, China
| | - Jing-Chu Hu
- Chinese Academy of Sciences (CAS) Key Laboratory of Quantitative Engineering Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, 1068 Xueyuan Avenue, Shenzhen University Town, Shenzhen 518055, China; School of Biomedical Sciences, Li Ka Shing Faculty of Medicine, University of Hong Kong, 3/F, Laboratory Block, 21 Sassoon Road, Hong Kong, China
| | - Xuan-Sheng Lin
- School of Biomedical Sciences, Li Ka Shing Faculty of Medicine, University of Hong Kong, 3/F, Laboratory Block, 21 Sassoon Road, Hong Kong, China
| | - Li Rong
- School of Biomedical Sciences, Li Ka Shing Faculty of Medicine, University of Hong Kong, 3/F, Laboratory Block, 21 Sassoon Road, Hong Kong, China
| | - Coco Luyao Zhou
- School of Biomedical Sciences, Li Ka Shing Faculty of Medicine, University of Hong Kong, 3/F, Laboratory Block, 21 Sassoon Road, Hong Kong, China
| | - Lin-Lei Chen
- Department of Microbiology, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, University of Hong Kong, 19/F Block T, Queen Mary Hospital, 102 Pokfulam Road, Hong Kong, China
| | - Xiaolei Wang
- School of Biomedical Sciences, Li Ka Shing Faculty of Medicine, University of Hong Kong, 3/F, Laboratory Block, 21 Sassoon Road, Hong Kong, China
| | - Chaobi Lei
- Chinese Academy of Sciences (CAS) Key Laboratory of Quantitative Engineering Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, 1068 Xueyuan Avenue, Shenzhen University Town, Shenzhen 518055, China
| | - Thomas Yau
- Department of Medicine, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, University of Hong Kong, 4/F Professional Block, Queen Mary Hospital, 102 Pokfulam Road, Hong Kong, China
| | - Ivan Fan-Ngai Hung
- Department of Medicine, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, University of Hong Kong, 4/F Professional Block, Queen Mary Hospital, 102 Pokfulam Road, Hong Kong, China
| | - Kelvin Kai-Wang To
- Department of Microbiology, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, University of Hong Kong, 19/F Block T, Queen Mary Hospital, 102 Pokfulam Road, Hong Kong, China
| | - Kwok-Yung Yuen
- Department of Microbiology, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, University of Hong Kong, 19/F Block T, Queen Mary Hospital, 102 Pokfulam Road, Hong Kong, China
| | - Bao-Zhong Zhang
- Chinese Academy of Sciences (CAS) Key Laboratory of Quantitative Engineering Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, 1068 Xueyuan Avenue, Shenzhen University Town, Shenzhen 518055, China; School of Biomedical Sciences, Li Ka Shing Faculty of Medicine, University of Hong Kong, 3/F, Laboratory Block, 21 Sassoon Road, Hong Kong, China.
| | - Hin Chu
- Department of Microbiology, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, University of Hong Kong, 19/F Block T, Queen Mary Hospital, 102 Pokfulam Road, Hong Kong, China.
| | - Jian-Dong Huang
- Chinese Academy of Sciences (CAS) Key Laboratory of Quantitative Engineering Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, 1068 Xueyuan Avenue, Shenzhen University Town, Shenzhen 518055, China; School of Biomedical Sciences, Li Ka Shing Faculty of Medicine, University of Hong Kong, 3/F, Laboratory Block, 21 Sassoon Road, Hong Kong, China; Clinical Oncology Center, Shenzhen Key Laboratory for Cancer Metastasis and Personalized Therapy, The University of Hong Kong-Shenzhen Hospital, Shenzhen 518053, China; Guangdong-Hong Kong Joint Laboratory for RNA Medicine, Sun Yat-Sen University, Guangzhou 510120, China.
| |
Collapse
|
19
|
Sinilaite A, Young K, Papenburg J. Summary of the National Advisory Committee on Immunization (NACI) Statement-Recommendation on Repeated Seasonal Influenza Vaccination. CANADA COMMUNICABLE DISEASE REPORT = RELEVE DES MALADIES TRANSMISSIBLES AU CANADA 2023; 49:99-102. [PMID: 38298903 PMCID: PMC10826901 DOI: 10.14745/ccdr.v49i04a02] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/02/2024]
Abstract
Background Influenza vaccination is recommended annually; however, some studies have raised questions regarding whether repeated influenza vaccine administration may have unintended negative consequences for seasonal protection. Methods The National Advisory Committee on Immunization (NACI) Influenza Working Group undertook an overview of systematic reviews on the effects of repeated influenza vaccination on vaccine effectiveness, efficacy, and immunogenicity. A systematic assessment of programmatic factors was conducted according to established NACI methods. The NACI evidence-based process was used to critically appraise the available evidence and to review recommendations. Results The evidence base consisted of four eligible systematic reviews/meta-analyses. Repeated vaccination, including the current season, was consistently more effective than no vaccination in the current season. The evidence showed no significant difference or predictable trend in vaccine efficacy or effectiveness between vaccinations in two consecutive seasons compared to vaccination in the current season only. Conclusion Overall, NACI concluded that there is evidence to recommend annual influenza vaccination, irrespective of whether an individual received the seasonal influenza vaccine in previous seasons. It is neither currently feasible nor warranted to modify existing annual influenza vaccination programs to account for potential negative or positive interference. NACI continues to strongly recommend that seasonal influenza vaccine should be offered annually to everyone six months of age and older who does not have contraindications to the vaccine, irrespective of previous seasons' influenza vaccination status.
Collapse
Affiliation(s)
- Angela Sinilaite
- Centre for Immunization Readiness, Public Health Agency of Canada, Ottawa, ON
| | - Kelsey Young
- Centre for Immunization Readiness, Public Health Agency of Canada, Ottawa, ON
| | - Jesse Papenburg
- NACI Influenza Working Group Chair
- Division of Pediatric Infectious Diseases, Department of Pediatrics, Montréal Children's Hospital of the McGill University Health Centre, Montréal, QC
- Division of Microbiology, Department of Clinical Laboratory Medicine, Optilab Montréal - McGill University Health Centre, Montréal, QC
- Department of Epidemiology, Biostatistics, and Occupational Health, School of Population and Global Health, McGill University, Montréal, QC
| |
Collapse
|
20
|
Jones-Gray E, Robinson EJ, Kucharski AJ, Fox A, Sullivan SG. Does repeated influenza vaccination attenuate effectiveness? A systematic review and meta-analysis. THE LANCET. RESPIRATORY MEDICINE 2023; 11:27-44. [PMID: 36152673 PMCID: PMC9780123 DOI: 10.1016/s2213-2600(22)00266-1] [Citation(s) in RCA: 41] [Impact Index Per Article: 20.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 04/07/2022] [Revised: 07/13/2022] [Accepted: 07/13/2022] [Indexed: 01/11/2023]
Abstract
BACKGROUND Influenza vaccines require annual readministration; however, several reports have suggested that repeated vaccination might attenuate the vaccine's effectiveness. We aimed to estimate the reduction in vaccine effectiveness associated with repeated influenza vaccination. METHODS In this systematic review and meta-analysis, we searched MEDLINE, EMBASE, and CINAHL Complete databases for articles published from Jan 1, 2016, to June 13, 2022, and Web of Science for studies published from database inception to June 13, 2022. For studies published before Jan 1, 2016, we consulted published systematic reviews. Two reviewers (EJ-G and EJR) independently screened, extracted data using a data collection form, assessed studies' risk of bias using the Risk Of Bias In Non-Randomized Studies of Interventions (ROBINS-I) and evaluated the weight of evidence by Grading of Recommendations Assessment, Development, and Evaluation (GRADE). We included observational studies and randomised controlled trials that reported vaccine effectiveness against influenza A(H1N1)pdm09, influenza A(H3N2), or influenza B using four vaccination groups: current season; previous season; current and previous seasons; and neither season (reference). For each study, we calculated the absolute difference in vaccine effectiveness (ΔVE) for current season only and previous season only versus current and previous season vaccination to estimate attenuation associated with repeated vaccination. Pooled vaccine effectiveness and ∆VE were calculated by season, age group, and overall. This study is registered with PROSPERO, CRD42021260242. FINDINGS We identified 4979 publications, selected 681 for full review, and included 83 in the systematic review and 41 in meta-analyses. ΔVE for vaccination in both seasons compared with the current season was -9% (95% CI -16 to -1, I2=0%; low certainty) for influenza A(H1N1)pdm09, -18% (-26 to -11, I2=7%; low certainty) for influenza A(H3N2), and -7% (-14 to 0, I2=0%; low certainty) for influenza B, indicating lower protection with consecutive vaccination. However, for all types, A subtypes and B lineages, vaccination in both seasons afforded better protection than not being vaccinated. INTERPRETATION Our estimates suggest that, although vaccination in the previous year attenuates vaccine effectiveness, vaccination in two consecutive years provides better protection than does no vaccination. The estimated effects of vaccination in the previous year are concerning and warrant additional investigation, but are not consistent or severe enough to support an alternative vaccination regimen at this time. FUNDING WHO and the US National Institutes of Health.
Collapse
Affiliation(s)
- Elenor Jones-Gray
- Department of Infectious Diseases, University of Melbourne, Melbourne, VIC, Australia
| | - Elizabeth J Robinson
- Department of Infectious Diseases, University of Melbourne, Melbourne, VIC, Australia
| | - Adam J Kucharski
- Centre for the Mathematical Modelling of Infectious Diseases (CMMID), London School of Hygiene and Tropical Medicine, London, UK
| | - Annette Fox
- Department of Infectious Diseases, University of Melbourne, Melbourne, VIC, Australia; WHO Collaborating Centre for Reference and Research on Influenza, Royal Melbourne Hospital, Peter Doherty Institute for Infection and Immunity, Melbourne, VIC, Australia
| | - Sheena G Sullivan
- Department of Infectious Diseases, University of Melbourne, Melbourne, VIC, Australia; WHO Collaborating Centre for Reference and Research on Influenza, Royal Melbourne Hospital, Peter Doherty Institute for Infection and Immunity, Melbourne, VIC, Australia; Department of Epidemiology, University of California, Los Angeles, CA, USA.
| |
Collapse
|
21
|
Escandell Rico FM, Pérez Fernández L. [Effectiveness of the influenza vaccine in the prevention of influenza in people over 65 years of age]. Rev Esp Geriatr Gerontol 2023; 58:3-7. [PMID: 36379726 DOI: 10.1016/j.regg.2022.10.007] [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: 10/17/2022] [Accepted: 10/19/2022] [Indexed: 11/15/2022]
Abstract
INTRODUCTION Influenza is one of the diseases with the greatest epidemiological impact and of maximum relevance in the management of health services. The flu vaccine can have great variability each season, so our objective was to find out the effectiveness of the flu vaccine for the 2017/2018 season for the prevention of severe cases of flu in people over 65 years of age in a 385-bed acute general hospital. MATERIAL AND METHOD Study of cases and controls. All hospitalized patients with laboratory-confirmed influenza older than 65 years during the 2017/2018 season were included. Those who met the criteria for a severe case of influenza were considered cases. Those who did not meet the severity criteria were considered controls. Factors associated with the development of severe influenza were calculated. RESULTS The median age was 68 years (SD 91.87). The attack rate was 0.23 per hundred inhabitants and the vaccine effectiveness was 38%. The vaccinated and unvaccinated groups were different in terms of age (p < 0.0481). Vaccination status against severe influenza was found to be an independent protective factor (OR = 0.840; 0.746-0.913). CONCLUSIONS The effectiveness of influenza vaccination provided greater protection against infection and reduced the severity of influenza in older hospitalized patients. These findings should be taken into account to improve vaccination strategies and achieve better vaccination coverage in the population at risk.
Collapse
Affiliation(s)
| | - Lucía Pérez Fernández
- Coordinación de Enfermería, Centro de Salud Almoradí. Departamento de Salud de Orihuela, Alicante, España
| |
Collapse
|
22
|
Tawfik A, Kawaguchi T, Takahashi M, Setoh K, Yamaguchi I, Tabara Y, Van Steen K, Sakuntabhai A, Matsuda F. Trivalent inactivated influenza vaccine response and immunogenicity assessment after one week and three months in repeatedly vaccinated adults. Expert Rev Vaccines 2023; 22:826-838. [PMID: 37747798 DOI: 10.1080/14760584.2023.2262563] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2023] [Accepted: 09/20/2023] [Indexed: 09/27/2023]
Abstract
BACKGROUND The influenza vaccine administrated every year is a recommended infection control procedure for individuals above the age of six months. However, the effectiveness of repeated annual vaccination is still an active research topic. Therefore, we investigated the vaccine immunogenicity in two independent groups: previously vaccinated versus non-vaccinated individuals at three time points; prior vaccination, one week and three months post vaccination. The assessment enabled us to evaluate the elicited immune responses and the durability of the induced protection in both groups. RESEARCH DESIGN AND METHODS A research study was conducted to assess the immunogenicity of a single dose of Trivalent Inactivated Influenza Vaccine (A/H1N1, A/H3N2, and B) in 278 healthy adults aged between 32 and 66 years. Almost half of the participants, 140 (50·36%), received influenza vaccination at least once precursor to past influenza seasons. One blood sample was taken prior to vaccination for complete blood analysis and baseline immunogenicity assessment. The selected study participants received a single vaccine dose on the first day, and then followed up for three months. Two blood samples were taken after one week and three months post vaccination, respectively, for vaccine immunogenicity assessment. RESULTS Before vaccination, the seroprotection, defined as a hemagglutination-inhibiting titer of =>1:40, was detected for the three vaccine virus strains in 20 previously vaccinated participants (14·29%) [8·95%, 21·2%]. We compared the overall vaccine response for the three virus strains using a normalized response score calculated from linearly transformed titer measurements; the score before vaccination was 84% higher in the previously vaccinated group and the mean difference between the two groups was statistically significant. Three months post-vaccination, we didn't find a significant difference in vaccine responses; the number of fully seroprotected individuals became 48 (34·29%) [26·48%, 42·77%] in the previously vaccinated group and 59 (42·75%) [34·37%, 51·45%] in the non-vaccinated group. The calculated response score was almost equal in both groups and the mean difference was no longer statistically significant. CONCLUSION Our findings suggest that a single dose of influenza vaccine is equally protective after three months for annually vaccinated adults and first-time vaccine receivers.
Collapse
Affiliation(s)
- Ahmed Tawfik
- Institut Pasteur, CNRS UMR2000, Functional Genetics of Infectious Diseases Unit, Paris, France
- Pasteur International Unit at Center for Genomic Medicine, Kyoto University, Kyoto, Japan
| | - Takahisa Kawaguchi
- Center for Genomic Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Meiko Takahashi
- Center for Genomic Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Kazuya Setoh
- Center for Genomic Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Izumi Yamaguchi
- Center for Genomic Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Yasuharu Tabara
- Center for Genomic Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Kristel Van Steen
- BIO3 - Laboratory for Systems Genetics, GIGA-R Medical Genomics, University of Liège, Liège, Belgium
- BIO3 - Laboratory for Systems Medicine, Department of Human Genetics, Leuven, Leuven, KU, Belgium
| | - Anavaj Sakuntabhai
- Pasteur International Unit at Center for Genomic Medicine, Kyoto University, Kyoto, Japan
- Institut Pasteur, CNRS UMR2000, Ecology and Emergence of Arthropod-borne Pathogens Unit, Paris, France
| | - Fumihiko Matsuda
- Center for Genomic Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan
| |
Collapse
|
23
|
The impact of repeated vaccination on relative influenza vaccine effectiveness among vaccinated adults in the United Kingdom. Epidemiol Infect 2022; 150:e198. [PMID: 36331053 PMCID: PMC9987024 DOI: 10.1017/s0950268822001753] [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: 11/06/2022] Open
Abstract
Annual seasonal influenza vaccination is recommended for individuals at high risk of developing post-infection complications in many locations. However, reduced vaccine immunogenicity and effectiveness have been observed among repeat vaccinees in some influenza seasons. We investigated the impact of repeated influenza vaccination on relative vaccine effectiveness (VE) among individuals who were recommended for influenza vaccination in the United Kingdom with a retrospective cohort study using primary healthcare data from the Clinical Practice Research Datalink, a primary care database in the United Kingdom. Relative VE was estimated against general practitioner-diagnosed influenza-like illnesses (GP-ILI) and medically attended acute respiratory illnesses (MAARI) among participants who have been repeatedly vaccinated compared with first-time vaccinees using proportional hazards models. Relative VE against MAARI may be reduced for individuals above 65 years old who were vaccinated in the current and previous influenza seasons for some influenza seasons. However, these findings were not conclusive as we could not exclude the possibility of residual confounding in our dataset. The use of routinely collected data from electronic health records to examine the effects of repeated vaccination needs to be complemented with sufficient efforts to include negative control outcomes to rule out residual confounding.
Collapse
|
24
|
Escandell Rico FM, Pérez Fernández L, Maciá Soler L, Requena Puche J. [Effectiveness of influenza vaccine in preventing severe influenza]. J Healthc Qual Res 2022; 37:201-207. [PMID: 35165077 DOI: 10.1016/j.jhqr.2022.01.002] [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: 11/10/2021] [Revised: 12/14/2021] [Accepted: 01/04/2022] [Indexed: 06/14/2023]
Abstract
INTRODUCTION Influenza is one of the diseases with the greatest epidemiological impact and the greatest relevance in the management of health services. The flu vaccine can have great variability each season, so our objective was to know the effectiveness of the flu vaccine for the 2017/2018 season for the prevention of severe cases of flu in a general acute hospital in 385 beds. MATERIAL AND METHOD Case control study. All hospitalized patients with laboratory confirmed influenza during the 2017/2018 season were included. Those who met the criteria for a severe case of influenza were considered cases. Those that did not meet the severity criteria were considered controls. The factors associated with the development of severe influenza were calculated. RESULTS The effectiveness adjusted by age group and comorbidity was 60.7% (20.5-80.5). The vaccinated and unvaccinated groups were different in terms of age (P<.0381). The highest proportion of cases were concentrated in those over 65 years of age (45.5%). Vaccination status against severe influenza was found to be an independent protective factor (OR=.746; .694-.831). CONCLUSIONS The effectiveness of influenza vaccination provided greater protection against infection and reduced the severity of influenza in hospitalized patients. These findings should be considered to improve vaccination strategies and achieve better vaccination coverage in the population at risk.
Collapse
Affiliation(s)
| | - L Pérez Fernández
- Departamento de Salud de Orihuela, Centro de Salud Almoradí, Orihuela, Alicante, España
| | - L Maciá Soler
- Departamento de Enfermería, Universidad de Alicante, Alicante, España
| | - J Requena Puche
- Departamento de Salud de Elda, Hospital General Universitario de Elda, Elda, Alicante, España
| |
Collapse
|
25
|
Cabatit BC, Grant M, Nadpara P, Goode JVR. Effect of Text Message Communication on Patient Presentation for an Influenza Vaccination in a Community-Based Pharmacy Setting. J Am Pharm Assoc (2003) 2022; 62:1885-1890.e1. [PMID: 35973934 PMCID: PMC9281456 DOI: 10.1016/j.japh.2022.07.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2022] [Revised: 07/06/2022] [Accepted: 07/08/2022] [Indexed: 12/02/2022]
Abstract
Background Community pharmacies use text message communications for information regarding approaching refills and fill status. Patients can also be notified regarding annual influenza vaccine availability and schedule an appointment for the vaccine. Objectives This study aimed to evaluate whether text message communications affected patient presentation and resulted in a percent increase of patients receiving an influenza vaccine compared with previous vaccine season and to determine whether additional vaccines are administered upon presentation. Methods Ambidirectional study retrospectively analyzed the impact, nationally, of a new text message communication on influenza vaccinations at a large community pharmacy chain and prospectively surveyed patients receiving an influenza vaccine at 2 geographically similar pharmacies of the chain in Southwest Virginia. Text message communications regarding vaccine and appointment availability were sent to patients at the age of 18 years and older who opted in to text message communications and received an influenza vaccine with the chain during the 2019-2020 influenza season. Vaccine data from consecutive seasons were compared. Eligible patients in Southwest Virginia were surveyed about how they were informed about availability, previous intent to receive an influenza vaccine, applicability to other vaccines, and effect of the coronavirus disease 2019 pandemic on vaccination. Results were analyzed using bivariate and multivariate analyses. Results Nationally, influenza vaccines administered increased by 17.45% in patients who permitted text message communication and overall by 13.22% after implementation. Decreases in co-administered pneumococcal vaccines and tetanus, diphtheria, and pertussis vaccines and an increase in co-administered zoster vaccines were observed. A total of 111 patients were surveyed; 4% presented owing to text message communication. A majority were intent on receiving the vaccine before being notified and reported that the pandemic did not affect presentation. Notably, 45.05% of patients were likely to receive routine vaccines if notified by text message. Conclusion Text message communications are another viable way to increase vaccinations, but further studies should be conducted outside of a pandemic setting.
Collapse
|
26
|
Martínez-Baz I, Casado I, Miqueleiz A, Navascués A, Pozo F, Trobajo-Sanmartín C, Albéniz E, Elía F, Burgui C, Fernández-Huerta M, Ezpeleta C, Castilla J. Effectiveness of influenza vaccination in preventing influenza in primary care, Navarre, Spain, 2021/22. EURO SURVEILLANCE : BULLETIN EUROPEEN SUR LES MALADIES TRANSMISSIBLES = EUROPEAN COMMUNICABLE DISEASE BULLETIN 2022; 27. [PMID: 35775428 PMCID: PMC9248265 DOI: 10.2807/1560-7917.es.2022.27.26.2200488] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
Compared with individuals unvaccinated in the current and three previous influenza seasons, in 2021/22, influenza vaccine effectiveness at primary care level was 37% (95% CI: 16 to 52) for current season vaccination, regardless of previous doses, and 35% (95% CI: −3 to 45) for only previous seasons vaccination. Against influenza A(H3N2), estimates were 39% (95% CI: 16 to 55) and 24% (95% CI: −8 to 47) suggesting moderate effectiveness of current season vaccination and possible remaining effect of prior vaccinations.
Collapse
Affiliation(s)
- Iván Martínez-Baz
- Instituto de Salud Pública de Navarra, Pamplona, Spain.,CIBER Epidemiología y Salud Pública (CIBERESP), Spain.,Navarre Institute for Health Research (IdiSNA), Pamplona, Spain
| | - Itziar Casado
- Instituto de Salud Pública de Navarra, Pamplona, Spain.,CIBER Epidemiología y Salud Pública (CIBERESP), Spain.,Navarre Institute for Health Research (IdiSNA), Pamplona, Spain
| | - Ana Miqueleiz
- Navarre Institute for Health Research (IdiSNA), Pamplona, Spain.,Clinical Microbiology Department, Hospital Universitario de Navarra, Pamplona, Spain
| | - Ana Navascués
- Navarre Institute for Health Research (IdiSNA), Pamplona, Spain.,Clinical Microbiology Department, Hospital Universitario de Navarra, Pamplona, Spain
| | - Francisco Pozo
- CIBER Epidemiología y Salud Pública (CIBERESP), Spain.,National Centre for Microbiology, Instituto de Salud Carlos III, Madrid, Spain
| | - Camino Trobajo-Sanmartín
- Instituto de Salud Pública de Navarra, Pamplona, Spain.,CIBER Epidemiología y Salud Pública (CIBERESP), Spain.,Navarre Institute for Health Research (IdiSNA), Pamplona, Spain
| | - Esther Albéniz
- Navarre Institute for Health Research (IdiSNA), Pamplona, Spain.,Gerencia de Atención Primaria, Servicio Navarro de Salud-Osasunbidea, Pamplona, Spain
| | - Fernando Elía
- Navarre Institute for Health Research (IdiSNA), Pamplona, Spain.,Gerencia de Atención Primaria, Servicio Navarro de Salud-Osasunbidea, Pamplona, Spain
| | - Cristina Burgui
- Instituto de Salud Pública de Navarra, Pamplona, Spain.,CIBER Epidemiología y Salud Pública (CIBERESP), Spain.,Navarre Institute for Health Research (IdiSNA), Pamplona, Spain
| | - Miguel Fernández-Huerta
- Navarre Institute for Health Research (IdiSNA), Pamplona, Spain.,Clinical Microbiology Department, Hospital Universitario de Navarra, Pamplona, Spain
| | - Carmen Ezpeleta
- Navarre Institute for Health Research (IdiSNA), Pamplona, Spain.,Clinical Microbiology Department, Hospital Universitario de Navarra, Pamplona, Spain
| | - Jesús Castilla
- Instituto de Salud Pública de Navarra, Pamplona, Spain.,CIBER Epidemiología y Salud Pública (CIBERESP), Spain.,Navarre Institute for Health Research (IdiSNA), Pamplona, Spain
| |
Collapse
|
27
|
Chen CC, Lin CH, Chiu CC, Yang TY, Hsu MH, Wang YH, Lei MH, Yeh HT, Fang YA, Hao WR, Liu JC. Influenza Vaccination and Risk of Stroke in Women With Chronic Obstructive Pulmonary Disease: A Nationwide, Population-Based, Propensity-Matched Cohort Study. Front Med (Lausanne) 2022; 9:811021. [PMID: 35665329 PMCID: PMC9160371 DOI: 10.3389/fmed.2022.811021] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2021] [Accepted: 04/11/2022] [Indexed: 11/13/2022] Open
Abstract
BackgroundsThe risk of stroke is higher among patients with chronic obstructive pulmonary disease (COPD) than among the healthy population. Moreover, women generally have worse long-term stroke outcomes than men.MethodsThe data of 6681 women with COPD (aged ≥ 65 years) registered in Taiwan’s National Health Insurance Research Database were retrospectively analyzed from January 1, 2001 to December 31, 2011. After 1:1 propensity score matching, the patients were divided into vaccinated and unvaccinated groups.ResultsIn total, 5102 women were enrolled. The vaccinated group had a significantly lower risk of total, hemorrhagic, and ischemic stroke than the unvaccinated group (adjusted hazard ratio [aHR]: 0.60, 95% confidence interval [CI]: 0.54–0.67; aHR: 0.59, 95% CI: 0.43–0.83; and aHR: 0.59, 95% CI: 0.52–0.68, respectively). A lower risk of stroke was observed among the women aged 65–74 and ≥75 years, and the association was dose-dependent in all types of stroke (aHR: 1.08, 95% CI: 0.92–1.26; aHR: 0.70, 95% CI: 0.60–0.82; and aHR: 0.32, 95% CI: 0.26–0.38 for those vaccinated 1, 2 to 3, and ≥4 times, respectively, during the follow-up period). Women with a CHA2DS2-VASc score (conditions and characteristics included congestive heart failure, hypertension, diabetes, stroke, vascular disease, age, and sex) of 2–3 and ≥4 had a significantly lower risk of ischemic stroke while receiving more vaccinations. A smaller significant lower risk of hemorrhagic stroke after more than 4 times of vaccination was noted in the women with a CHA2DS2-VASc score of ≥4. Both interrupted and non-interrupted vaccination was associated with lower risk of stroke occurrence.ConclusionInfluenza vaccination is associated with a lower risk of total, hemorrhagic, and ischemic stroke among women with COPD, and the association is dose-dependent. However, the findings may be limited by unmeasurable confounders. Further investigations on this subject are warranted.
Collapse
Affiliation(s)
- Chun-Chao Chen
- Division of Cardiology, Department of Internal Medicine, Shuang Ho Hospital, Taipei Medical University, New Taipei City, Taiwan
- Taipei Heart Institute, Taipei Medical University, Taipei, Taiwan
- Division of Cardiology, Department of Internal Medicine, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan
| | - Cheng-Hsin Lin
- Taipei Heart Institute, Taipei Medical University, Taipei, Taiwan
- Division of Cardiovascular Surgery, Department of Surgery, Shuang Ho Hospital, Taipei Medical University, New Taipei City, Taiwan
- Division of Cardiovascular Surgery, Department of Surgery, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan
| | - Chun-Chih Chiu
- Division of Cardiology, Department of Internal Medicine, Shuang Ho Hospital, Taipei Medical University, New Taipei City, Taiwan
- Taipei Heart Institute, Taipei Medical University, Taipei, Taiwan
| | - Tsung Yeh Yang
- Division of Cardiology, Department of Internal Medicine, Shuang Ho Hospital, Taipei Medical University, New Taipei City, Taiwan
- Taipei Heart Institute, Taipei Medical University, Taipei, Taiwan
| | - Min-Huei Hsu
- Graduate Institute of Data Science, College of Management, Taipei Medical University, Taipei, Taiwan
- Department of Neurosurgery, Wan-Fang Hospital, Taipei Medical University, Taipei, Taiwan
| | - Yuan-Hung Wang
- Department of Medical Research Executive Secretary, Center of Human Research Protection, Shuang Ho Hospital, Taipei Medical University, New Taipei City, Taiwan
| | - Meng-Huan Lei
- Cardiovascular Center, Lo-Hsu Medical Foundation Lotung Poh-Ai Hospital, Luodong, Taiwan
| | - Hsien Tang Yeh
- Department of Surgery, Lotung Poh-Ai Hospital, Luodong, Taiwan
| | - Yu-Ann Fang
- Division of Cardiology, Department of Internal Medicine, Shuang Ho Hospital, Taipei Medical University, New Taipei City, Taiwan
- Taipei Heart Institute, Taipei Medical University, Taipei, Taiwan
| | - Wen-Rui Hao
- Division of Cardiology, Department of Internal Medicine, Shuang Ho Hospital, Taipei Medical University, New Taipei City, Taiwan
- Taipei Heart Institute, Taipei Medical University, Taipei, Taiwan
- Division of Cardiology, Department of Internal Medicine, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan
- Graduate Institute of Clinical Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan
- *Correspondence: Wen-Rui Hao,
| | - Ju-Chi Liu
- Division of Cardiology, Department of Internal Medicine, Shuang Ho Hospital, Taipei Medical University, New Taipei City, Taiwan
- Taipei Heart Institute, Taipei Medical University, Taipei, Taiwan
- Division of Cardiology, Department of Internal Medicine, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan
- Graduate Institute of Clinical Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan
- Ju-Chi Liu,
| |
Collapse
|
28
|
Liu W, Lien YH, Lee PI, Chan TC, Wang LC, Yang CR, Ho MS, Chen JR, Ku CC, King CC. Impact of prior infection and repeated vaccination on post-vaccination antibody titers of the influenza A(H1N1)pdm09 strain in Taiwan schoolchildren: Implications for public health. Vaccine 2022; 40:3402-3411. [PMID: 35525727 DOI: 10.1016/j.vaccine.2022.03.047] [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: 08/27/2021] [Revised: 03/01/2022] [Accepted: 03/18/2022] [Indexed: 11/16/2022]
Abstract
BACKGROUND The objective of this study was to evaluate the effects of prior-infection and repeated vaccination on post-vaccination antibody titers. METHODS A(H1N1)pdm09 strain was included in 2009 pandemic monovalent, 2010-2011, and 2011-2012 trivalent influenza vaccines (MIVpdm09, TIV10/11, TIV11/12) in Taiwan. During the 2011-2012 influenza season, we conducted a prospective sero-epidemiological cohort study among schoolchildren from grades 1 - 6 in the two elementary schools in Taipei with documented A(H1N1)pdm09 vaccination records since 2009. Serum samples were collected at pre-vaccination, 1-month, and 4-months post-vaccination (T1, T2, T3). Anti-A(H1N1)pdm09 hemagglutination inhibition titers (HI-Ab-titers) were examined. We also investigated the impact of four vaccination histories [(1) no previous vaccination (None), (2) vaccinated in 2009-2010 season (09v), (3) vaccinated in 2010-2011 season (10v), and (4) vaccinated consecutively in 2009-2010 and 2010-2011 seasons (09v + 10v)] and pre-vaccination HI-Ab levels on post-vaccination HI-Ab responses as well as adjusted vaccine effectiveness (aVE) against serologically-defined infection from T2 to T3. RESULTS TIV11/12 had zero serious adverse events reported. A(H1N1)pdm09 strain in TIV11/12 elicited seroprotective Ab-titers in 98% of children and showed promising protection (aVE: 70.3% [95% confidence interval (CI): 51.0-82.1%]). Previously unvaccinated but infected children had a 3.96 times higher T2 geometric mean titer (T2-GMT) of HI-Ab than those naïve to A(H1N1)pdm09 (GMT [95% CI]: 1039.7[585.3-1845.9] vs. 262.5[65.9-1045], p = 0.046). Previously vaccinated children with seroprotective T1-Ab-titers had a higher T2-GMT and a greater aVE than those with non-seroprotective T1-Ab-titers. Repeatedly vaccinated children had lower T2-GMT than those receiving primary doses of TIV11/12. However, after controlling prior infection and T1-Ab-titers, differences in T2-GMT among the four vaccination histories became insignificant (p = 0.16). CONCLUSION This study supports the implementation of annual mass-vaccination with A(H1N1)pdm09 in schoolchildren for three consecutive influenza seasons when vaccine and circulating strains were well matched, and found that prior infection and pre-vaccination HI-Ab levels positively impacted post-vaccination HI-Ab responses.
Collapse
Affiliation(s)
- Wei Liu
- Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University (NTU), Taipei 100, Taiwan, ROC
| | - Yu-Hui Lien
- Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University (NTU), Taipei 100, Taiwan, ROC
| | - Ping-Ing Lee
- Department of Pediatrics, NTU Hospital and NTU College of Medicine, Taipei 100, Taiwan, ROC
| | - Ta-Chien Chan
- Research Center for Humanities and Social Sciences, Academia Sinica, Taipei 115, Taiwan, ROC
| | | | - Chin-Rur Yang
- Institute of Immunology, NTU College of Medicine, Taipei 100, Taiwan, ROC
| | - Mei-Shang Ho
- Institute of Biomedical Sciences, Academia Sinica, Taipei 115, Taiwan, ROC
| | | | - Chia-Chi Ku
- Institute of Immunology, NTU College of Medicine, Taipei 100, Taiwan, ROC.
| | - Chwan-Chuen King
- Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University (NTU), Taipei 100, Taiwan, ROC.
| |
Collapse
|
29
|
Azim Majumder MA, Razzaque MS. Repeated vaccination and 'vaccine exhaustion': relevance to the COVID-19 crisis. Expert Rev Vaccines 2022; 21:1011-1014. [PMID: 35475680 DOI: 10.1080/14760584.2022.2071705] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
|
30
|
McMenamin ME, Bond HS, Sullivan SG, Cowling BJ. Estimation of Relative Vaccine Effectiveness in Influenza: A Systematic Review of Methodology. Epidemiology 2022; 33:334-345. [PMID: 35213508 PMCID: PMC8983951 DOI: 10.1097/ede.0000000000001473] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2021] [Accepted: 01/31/2022] [Indexed: 11/27/2022]
Abstract
BACKGROUND When new vaccine components or platforms are developed, they will typically need to demonstrate noninferiority or superiority over existing products, resulting in the assessment of relative vaccine effectiveness (rVE). This review aims to identify how rVE evaluation is being performed in studies of influenza to inform a more standardized approach. METHODS We conducted a systematic search on PubMed, Google Scholar, and Web of Science for studies reporting rVE comparing vaccine components, dose, or vaccination schedules. We screened titles, abstracts, full texts, and references to identify relevant articles. We extracted information on the study design, relative comparison made, and the definition and statistical approach used to estimate rVE in each study. RESULTS We identified 63 articles assessing rVE in influenza virus. Studies compared multiple vaccine components (n = 38), two or more doses of the same vaccine (n = 17), or vaccination timing or history (n = 9). One study compared a range of vaccine components and doses. Nearly two-thirds of all studies controlled for age, and nearly half for comorbidities, region, and sex. Assessment of 12 studies presenting both absolute and relative effect estimates suggested proportionality in the effects, resulting in implications for the interpretation of rVE effects. CONCLUSIONS Approaches to rVE evaluation in practice is highly varied, with improvements in reporting required in many cases. Extensive consideration of methodologic issues relating to rVE is needed, including the stability of estimates and the impact of confounding structure on the validity of rVE estimates.
Collapse
Affiliation(s)
- Martina E. McMenamin
- From the World Health Organization Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China
| | - Helen S. Bond
- From the World Health Organization Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China
| | - Sheena G. Sullivan
- WHO Collaborating Centre for Reference and Research on Influenza, Royal Melbourne Hospital, Doherty Department, University of Melbourne, at the Peter Doherty Institute for Infection and Immunity, Melbourne, VIC, Australia
| | - Benjamin J. Cowling
- From the World Health Organization Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China
- Laboratory of Data Discovery for Health, Hong Kong Science and Technology Park, Hong Kong, China
| |
Collapse
|
31
|
Chronic obstructive pulmonary disease and influenza vaccination effect in preventing outpatient and inpatient influenza cases. Sci Rep 2022; 12:4862. [PMID: 35318406 PMCID: PMC8940916 DOI: 10.1038/s41598-022-08952-0] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2021] [Accepted: 03/10/2022] [Indexed: 11/08/2022] Open
Abstract
Evidence of influenza vaccine effectiveness in preventing confirmed influenza among persons diagnosed with chronic obstructive pulmonary disease (COPD) is scarce. We assessed the average effect of influenza vaccination in the current and prior seasons in preventing laboratory-confirmed influenza in COPD patients. We carried out a pooled test-negative case–control design in COPD patients hospitalized or presented to primary healthcare centres with influenza-like illness who were tested for influenza in 2015/2016 to 2019/2020 seasons in Navarre, Spain. Influenza vaccination status in the current and 5 prior seasons was compared between confirmed-influenza cases and test-negative controls. Vaccination effect was compared between target patients for vaccination with and without COPD. Out of 1761 COPD patients tested, 542 (31%) were confirmed for influenza and 1219 were test-negative controls. Average effect for current-season vaccination in preventing influenza was 40% (95% CI 20–54%), and for vaccination in prior seasons only was 24% (95% CI –10 to 47%). Point estimates seemed higher in preventing outpatient cases (60% and 58%, respectively) than inpatient cases (37% and 19%, respectively), but differences were no statistically significant. Influenza vaccination effect was similar in target population with and without COPD (p = 0.339). Influenza vaccination coverage in control patients with COPD was 68.3%. A 13.7% of the influenza cases in patients with COPD could be prevented by extending the influenza vaccine coverage. Average effect of current-season influenza vaccination was moderate to prevent influenza in COPD persons. The increase of influenza vaccination coverage can still prevent COPD exacerbations.
Collapse
|
32
|
Tadakuma K, Maruyama T, Mori K, Fujiki N. Effectiveness of seasonal influenza vaccine in adult Japanese workers, 2017-2020. Vaccine 2021; 40:621-626. [PMID: 34952756 DOI: 10.1016/j.vaccine.2021.12.016] [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: 10/30/2021] [Revised: 12/01/2021] [Accepted: 12/08/2021] [Indexed: 10/19/2022]
Abstract
BACKGROUND Previous studies have not estimated vaccine effectiveness (VE) against influenza in the working-age Japanese population. In this study, we determined VE in adult workers at a Japanese company. METHODS We estimated VE based on self-reported data regarding influenza infections and vaccinations in employees of an auto parts manufacturing company during three influenza seasons from 2017 to 2020. VE was estimated as 100% × [1 - odds ratio (the ratio of the odds of being diagnosed with influenza among enrollees with and without influenza vaccination)]. Odds ratios were estimated using logistic regression. RESULTS We included 11,347 worker records [3,592 (2017-18), 3,663 (2018-19), and 4,092 (2019-20)] from employees who had worked with the company throughout each influenza season. The adjusted VE was moderate and significant in the 2019-20 season (VE = 53%; 95% confidence interval [CI] = 30% to 69%) but low or negative and non-significant during the 2017-18 (VE = 28%; 95% CI = -5% to 50%) and 2018-19 (VE = -11%; 95% CI = - 42% to 14%) seasons. CONCLUSIONS Influenza vaccines were moderately effective during the 2019-20 season but showed low or negative effectiveness during the 2017-18 and 2018-19 seasons. Self-reports from worker records can successfully help determine VE against influenza.
Collapse
Affiliation(s)
- Kiyoshi Tadakuma
- Occupational Health Practice and Management, Institute of Industrial Ecological Sciences, University of Occupational and Environmental Health, Kitakyushu, Japan.
| | - Takashi Maruyama
- Department of Physiology, University of Occupational and Environmental Health, Kitakyushu, Japan
| | - Koji Mori
- Occupational Health Practice and Management, Institute of Industrial Ecological Sciences, University of Occupational and Environmental Health, Kitakyushu, Japan
| | - Nobuhiro Fujiki
- Department of Ergonomics, Institute of Industrial and Ecological Sciences, University of Occupational and Environmental Health, Kitakyushu, Japan
| |
Collapse
|
33
|
Influence of Prior Influenza Vaccination on Current Influenza Vaccine Effectiveness in Children Aged 1 to 5 Years. Vaccines (Basel) 2021; 9:vaccines9121447. [PMID: 34960193 PMCID: PMC8706378 DOI: 10.3390/vaccines9121447] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2021] [Revised: 11/25/2021] [Accepted: 12/04/2021] [Indexed: 11/17/2022] Open
Abstract
BACKGROUND Although annual influenza vaccination is an important strategy used to prevent influenza-related morbidity and mortality, some studies have reported the negative influence of prior vaccination on vaccine effectiveness (VE) for current seasons. Currently, the influence of prior vaccination is not conclusive, especially in children. METHODS We evaluated the association between current-season VE and prior season vaccination using a test-negative design in children aged 1-5 years presenting at nine outpatient clinics in Japan during the 2016/17 and 2017/18 influenza seasons. Children with influenza-like illness were enrolled prospectively and tested for influenza using real-time RT-PCR. Their recent vaccination history was categorized into six groups according to current vaccination doses (0/1/2) and prior vaccination status (unvaccinated = 0 doses/vaccinated = 1 dose or 2 doses): (1) 0 doses in the current season and unvaccinated in prior seasons (reference group); (2) 0 doses in the current season and vaccinated in a prior season; (3) 1 dose in the current season and unvaccinated in a prior season; (4) 1 dose in the current season and vaccinated in a prior season; (5) 2 doses in the current season and unvaccinated in a prior season, and (6) 2 doses in the current season and vaccinated in a prior season. RESULTS A total of 799 cases and 1196 controls were analyzed. The median age of the subjects was 3 years, and the proportion of males was 54%. Overall, the vaccination rates (any vaccination in the current season) in the cases and controls were 36% and 53%, respectively. The VEs of the groups were: (2) 29% (95% confidence interval: -25% to 59%); (3) 53% (6% to 76%); (4) 70% (45% to 83%); (5) 56% (32% to 72%), and (6) 61% (42% to 73%). The one- and two-dose VEs of the current season were significant regardless of prior vaccination status. The results did not differ when stratified by influenza subtype/lineage. CONCLUSION Prior vaccination did not attenuate the current-season VE in children aged 1 to 5 years, supporting the annual vaccination strategy.
Collapse
|
34
|
Pang Y, Yu M, Lv M, Lu M, Wu J, Xie Z, Huang Y. Repeated influenza vaccination and hospitalization outcomes among older patients with cardiovascular or respiratory diseases. Hum Vaccin Immunother 2021; 17:5522-5528. [PMID: 35133241 PMCID: PMC8903947 DOI: 10.1080/21645515.2021.2007012] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022] Open
Abstract
Influenza vaccination in a single season protects against hospitalization outcomes among older adults hospitalized for cardiovascular or respiratory diseases, but the effectiveness of repeated influenza vaccination is less clear. Four hospitalization outcomes (in-hospital death, re-admission, length of stay, and direct medical costs) were extracted from the Beijing Urban Employee Basic Medical Insurance database in 2015-2016 for adults aged ≥60 years hospitalized for cardiovascular or respiratory diseases. Vaccination status during three influenza seasons (2013/2014-2015/2016) was ascertained through linkages to the Beijing Elderly Influenza Vaccination database. The summer months (June-August) were used as a reference period to control unmeasured confounders during the influenza season. There were 99,135 periods of observation in the analysis, with 8.3% participants receiving influenza vaccination in all three seasons. After adjusting for confounders, influenza vaccination in all three seasons was associated with a lower risk of re-admission among patients with cardiovascular diseases (odds ratio 0.71 [95% CI 0.53-0.96]) and a lower risk of death among patients with respiratory diseases (0.68 [0.46-0.98]) compared with those unvaccinated in any season. Among patients with cardiovascular diseases, influenza vaccination in all three seasons was also associated with a non-significant lower risk of death (0.66 [0.44-1.03]) in addition to shorter hospital stays and lower direct medical costs. When stratified by history of vaccination, the effectiveness of current season vaccination was similar among patients with cardiovascular or respiratory diseases (p-value for heterogeneity all >0.05). Repeated influenza vaccination protected against hospitalization outcomes among older adults with cardiovascular or respiratory diseases.
Collapse
Affiliation(s)
- Yuanjie Pang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Mengke Yu
- Department of Global Health, School of Public Health, Peking University, Beijing, China
| | - Min Lv
- Institute for Immunization and Prevention, Beijing Center for Disease Prevention and Control, Beijing, China
| | - Ming Lu
- Department of Biomedical Informatics, School of Basic Medicine, Peking University, Beijing, China
| | - Jiang Wu
- Institute for Immunization and Prevention, Beijing Center for Disease Prevention and Control, Beijing, China
| | - Zheng Xie
- Department of Global Health, School of Public Health, Peking University, Beijing, China,CONTACT Min Lv Institute for Immunization and Prevention, Beijing Center for Disease Prevention and Control, 16 Hepinglizhong Road, Beijing 100013, China
| | - Yangmu Huang
- Department of Global Health, School of Public Health, Peking University, Beijing, China,Yangmu Huang School of Public Health, Peking University, 38 Xueyuan Road, Beijing100191, China
| |
Collapse
|
35
|
Daniels S, Wei H, Han Y, Catt H, Denning DW, Hall I, Regan M, Verma A, Whitfield CA, van Tongeren M. Risk factors associated with respiratory infectious disease-related presenteeism: a rapid review. BMC Public Health 2021; 21:1955. [PMID: 34711208 PMCID: PMC8552205 DOI: 10.1186/s12889-021-12008-9] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2021] [Accepted: 08/29/2021] [Indexed: 11/27/2022] Open
Abstract
BACKGROUND Workplace transmission is a significant contributor to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) outbreaks. Previous studies have found that infectious illness presenteeism could contribute to outbreaks in occupational settings and identified multiple occupational and organisational risk factors. Amid the COVID-19 pandemic, it is imperative to investigate presenteeism particularly in relation to respiratory infectious disease (RID). Hence, this rapid review aims to determine the prevalence of RID-related presenteeism, including COVID-19, and examines the reported reasons and associated risk factors. METHODS The review followed a Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) search approach and focused on studies published in English and Chinese. Database searches included MEDLINE, EMBASE, Web of Science, China Knowledge Resource Integrated Database (CNKI) and preprint databases MedRxiv and BioRxiv. RESULTS The search yielded 54 studies, of which four investigated COVID-19-related presenteeism. Prevalence of work presenteeism ranged from 14.1 to 55% for confirmed RID, and 6.6 to 100% for those working with suspected or subclinical RID. The included studies demonstrated that RID-related presenteeism is associated with occupation, sick pay policy, age, gender, health behaviour and perception, vaccination, peer pressure and organisational factors such as presenteeism culture. CONCLUSIONS This review demonstrates that presenteeism or non-adherence to isolation guidance is a real concern and can contribute to workplace transmissions and outbreaks. Policies which would support workers financially and improve productivity, should include a range of effective non-pharmaceutical inventions such as workplace testing, promoting occupational health services, reviewing pay and bonus schemes and clear messaging to encourage workers to stay at home when ill. Future research should focus on the more vulnerable and precarious occupational groups, and their inter-relationships, to develop comprehensive intervention programs to reduce RID-related presenteeism.
Collapse
Affiliation(s)
- Sarah Daniels
- Division of Population Health, Health Services Research & Primary Care, School of Health Sciences, The University of Manchester, Ellen Wilkinson Building, Oxford Road, Manchester, M13 9PL, England.
- Manchester Academic Health Sciences Centre, The University of Manchester, Manchester, England.
| | - Hua Wei
- Division of Population Health, Health Services Research & Primary Care, School of Health Sciences, The University of Manchester, Ellen Wilkinson Building, Oxford Road, Manchester, M13 9PL, England
- Manchester Academic Health Sciences Centre, The University of Manchester, Manchester, England
| | - Yang Han
- Manchester Academic Health Sciences Centre, The University of Manchester, Manchester, England
- Department of Mathematics, The University of Manchester, Manchester, England
| | - Heather Catt
- Division of Population Health, Health Services Research & Primary Care, School of Health Sciences, The University of Manchester, Ellen Wilkinson Building, Oxford Road, Manchester, M13 9PL, England
- Manchester Academic Health Sciences Centre, The University of Manchester, Manchester, England
| | - David W Denning
- Manchester Academic Health Sciences Centre, The University of Manchester, Manchester, England
- Division of Evolution, Infection and Genomics, School of Biological Sciences, The University of Manchester, Manchester, England
| | - Ian Hall
- Manchester Academic Health Sciences Centre, The University of Manchester, Manchester, England
- Department of Mathematics, The University of Manchester, Manchester, England
- Public Health, Advice, Guidance and Expertise, London, England
| | - Martyn Regan
- Division of Population Health, Health Services Research & Primary Care, School of Health Sciences, The University of Manchester, Ellen Wilkinson Building, Oxford Road, Manchester, M13 9PL, England
- Manchester Academic Health Sciences Centre, The University of Manchester, Manchester, England
- United Kingdom Health Security Agency National COVID-19 Response Centre, London, England
| | - Arpana Verma
- Division of Population Health, Health Services Research & Primary Care, School of Health Sciences, The University of Manchester, Ellen Wilkinson Building, Oxford Road, Manchester, M13 9PL, England
- Manchester Academic Health Sciences Centre, The University of Manchester, Manchester, England
| | - Carl A Whitfield
- Manchester Academic Health Sciences Centre, The University of Manchester, Manchester, England
- Department of Mathematics, The University of Manchester, Manchester, England
| | - Martie van Tongeren
- Division of Population Health, Health Services Research & Primary Care, School of Health Sciences, The University of Manchester, Ellen Wilkinson Building, Oxford Road, Manchester, M13 9PL, England
- Manchester Academic Health Sciences Centre, The University of Manchester, Manchester, England
| |
Collapse
|
36
|
Arrieta E, Lalueza A, Ayuso-García B, Trujillo H, Folgueira D, Paredes D, Verdejo MÁ, Camacho J, Caso JM, Heredia C, Cueto-Felgueroso C, Pleguezuelo D, Serrano A, Lumbreras C. Influenza A-Associated In-Hospital Mortality in Very Older People: Does Inflammation Also Play a Role? Gerontology 2021; 68:780-788. [PMID: 34592742 DOI: 10.1159/000519157] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2021] [Accepted: 08/17/2021] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND The aim of the study was to analyze the clinical manifestations and outcome of the oldest old (people aged ≥85 years) who were admitted to the hospital with a confirmed influenza A virus infection in comparison with younger patients and to assess the role of inflammation in the outcome of influenza infection in this population. METHODS This is an observational prospective study including all adult patients with influenza A virus infection hospitalized in a tertiary teaching hospital in Madrid, in 2 consecutive influenza seasons (2016-17 and 2017-18). RESULTS Five hundred nine hospitalized patients with influenza A infection were included, of whom 117 (23%) were older than 85 years (median age: 89.3 ± 3.2). We compared the clinical characteristics and outcome with those of the rest of the population (median age: 72.8 ± 15.7). Overall, mortality was higher in older patients (10% vs. 4%; p = 0.03) with no differences in clinical presentation. Patients older than 85 years who ultimately died (12 out of 117) showed increased systemic inflammation expressed by higher levels of C-reactive protein (CRP) and ferritin compared to survivors who were discharged (odds ratio [OR] of CRP >20 mg/dL: 5.16, 95% confidence interval [CI]: 1.29-20.57, and OR of ferritin >500 mg: 4.3, 95% CI: 1.04-17.35). CONCLUSIONS Patients aged 85 and older with influenza A virus infection presented a higher in-hospital mortality than younger subjects. CRP and ferritin levels were higher in the oldest old who died, suggesting that inflammation could play a key role in the outcome of this subset of patients.
Collapse
Affiliation(s)
- Estibaliz Arrieta
- Department of Internal Medicine, University Hospital 12 de Octubre, Madrid, Spain
| | - Antonio Lalueza
- Department of Internal Medicine, University Hospital 12 de Octubre, Madrid, Spain.,Department of Medicine, School of Medicine, Complutense University, Madrid, Spain.,Research Institute of Hospital 12 de Octubre (i + 12), Madrid, Spain
| | - Blanca Ayuso-García
- Department of Internal Medicine, University Hospital 12 de Octubre, Madrid, Spain
| | - Hernando Trujillo
- Department of Internal Medicine, University Hospital 12 de Octubre, Madrid, Spain
| | - Dolores Folgueira
- Department of Medicine, School of Medicine, Complutense University, Madrid, Spain.,Research Institute of Hospital 12 de Octubre (i + 12), Madrid, Spain.,Department of Microbiology, University Hospital 12 de Octubre, Madrid, Spain
| | - Diana Paredes
- Department of Internal Medicine, University Hospital 12 de Octubre, Madrid, Spain
| | - Miguel Ángel Verdejo
- Department of Internal Medicine, University Hospital 12 de Octubre, Madrid, Spain
| | - Javier Camacho
- Department of Internal Medicine, University Hospital 12 de Octubre, Madrid, Spain
| | - José María Caso
- Department of Internal Medicine, University Hospital 12 de Octubre, Madrid, Spain
| | - Carlos Heredia
- Department of Internal Medicine, University Hospital 12 de Octubre, Madrid, Spain
| | | | - Daniel Pleguezuelo
- Department of Immunology, University Hospital 12 de Octubre, Madrid, Spain
| | - Antonio Serrano
- Research Institute of Hospital 12 de Octubre (i + 12), Madrid, Spain.,Department of Immunology, University Hospital 12 de Octubre, Madrid, Spain
| | - Carlos Lumbreras
- Department of Internal Medicine, University Hospital 12 de Octubre, Madrid, Spain.,Department of Medicine, School of Medicine, Complutense University, Madrid, Spain.,Research Institute of Hospital 12 de Octubre (i + 12), Madrid, Spain.,Infectious Diseases Unit, University Hospital 12 de Octubre, Madrid, Spain
| |
Collapse
|
37
|
Poor Vaccine Effectiveness against Influenza B-Related Severe Acute Respiratory Infection in a Temperate North Indian State (2019-2020): A Call for Further Data for Possible Vaccines with Closer Match. Vaccines (Basel) 2021; 9:vaccines9101094. [PMID: 34696202 PMCID: PMC8540586 DOI: 10.3390/vaccines9101094] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2021] [Revised: 09/21/2021] [Accepted: 09/21/2021] [Indexed: 01/22/2023] Open
Abstract
Background: Influenza vaccine uptake in India is poor, and scant data exist regarding the effectiveness of influenza vaccine against hospitalization. Methods: From October 2019 to March 2020, vaccination status of 1219 patients (males n = 571, aged 5–107 years; median, 50 years) hospitalized with severe acute respiratory illness (SARI) was assessed. The patients were tested for influenza viruses and their subtypes by RT PCR. Sequencing of the HA gene was performed. Vaccine effectiveness (VE) against influenza subtypes was estimated by the test negative design. Results: A total of 336 (27.5%) patients were influenza-positive, with influenza B/Victoria accounting for 49.7% (n = 167), followed by influenza A/H1N1 (47.6%; n = 155) and influenza A/H3N2 (4.4%; n = 15). About 6.8% and 8.6% of the influenza-positive and influenza-negative patients, respectively, had been vaccinated. Adjusted VE for any influenza strain was 13% (95% CI −42 to 47), which for influenza B was 0%. HA sequencing revealed that influenza B samples mainly belonged to subclade V1A.3/133R with deletion of residues 163–165, as against the 2-aa deletion in influenza B/Colorado/06/2017 strain, contained in the vaccine. VE for influenza A/H1N1 was 55%. Conclusions: Poor VE due to a genetic mismatch between the circulating strain and the vaccine strain calls for efforts to reduce the mismatch.
Collapse
|
38
|
Martínez-Baz I, Navascués A, Casado I, Aguinaga A, Ezpeleta C, Castilla J. Simple models to include influenza vaccination history when evaluating the effect of influenza vaccination. ACTA ACUST UNITED AC 2021; 26. [PMID: 34387185 PMCID: PMC8365179 DOI: 10.2807/1560-7917.es.2021.26.32.2001099] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
Abstract
Background Most reports of influenza vaccine effectiveness consider current-season vaccination only. Aim We evaluated a method to estimate the effect of influenza vaccinations (EIV) considering vaccination history. Methods We used a test-negative design with well-documented vaccination history to evaluate the average EIV over eight influenza seasons (2011/12–2018/19; n = 10,356). Modifying effect was considered as difference in effects of vaccination in current and previous seasons and current-season vaccination only. We also explored differences between current-season estimates excluding from the reference category people vaccinated in any of the five previous seasons and estimates without this exclusion or only for one or three previous seasons. Results The EIV was 50%, 45% and 38% in people vaccinated in the current season who had previously received none, one to two and three to five doses, respectively, and it was 30% and 43% for one to two and three to five prior doses only. Vaccination in at least three previous seasons reduced the effect of current-season vaccination by 12 percentage points overall, 31 among outpatients, 22 in 9–65 year-olds, and 23 against influenza B. Including people vaccinated in previous seasons only in the unvaccinated category underestimated EIV by 9 percentage points on average (31% vs 40%). Estimates considering vaccination of three or five previous seasons were similar. Conclusions Vaccine effectiveness studies should consider influenza vaccination in previous seasons, as it can retain effect and is often an effect modifier. Vaccination status in three categories (current season, previous seasons only, unvaccinated) reflects the whole EIV.
Collapse
Affiliation(s)
- Iván Martínez-Baz
- Instituto de Investigación Sanitaria de Navarra (IdiSNA), Pamplona, Spain.,CIBER Epidemiología y Salud Pública (CIBERESP), Pamplona, Spain.,Instituto de Salud Pública de Navarra, Pamplona, Spain
| | - Ana Navascués
- Servicio de Microbiología Clínica, Complejo Hospitalario de Navarra, Pamplona, Spain.,Instituto de Investigación Sanitaria de Navarra (IdiSNA), Pamplona, Spain
| | - Itziar Casado
- Instituto de Investigación Sanitaria de Navarra (IdiSNA), Pamplona, Spain.,CIBER Epidemiología y Salud Pública (CIBERESP), Pamplona, Spain.,Instituto de Salud Pública de Navarra, Pamplona, Spain
| | - Aitziber Aguinaga
- Servicio de Microbiología Clínica, Complejo Hospitalario de Navarra, Pamplona, Spain.,Instituto de Investigación Sanitaria de Navarra (IdiSNA), Pamplona, Spain
| | - Carmen Ezpeleta
- Servicio de Microbiología Clínica, Complejo Hospitalario de Navarra, Pamplona, Spain.,Instituto de Investigación Sanitaria de Navarra (IdiSNA), Pamplona, Spain
| | - Jesús Castilla
- Instituto de Investigación Sanitaria de Navarra (IdiSNA), Pamplona, Spain.,CIBER Epidemiología y Salud Pública (CIBERESP), Pamplona, Spain.,Instituto de Salud Pública de Navarra, Pamplona, Spain
| |
Collapse
|
39
|
Kim SS, Flannery B, Foppa IM, Chung JR, Nowalk MP, Zimmerman RK, Gaglani M, Monto AS, Martin ET, Belongia EA, McLean HQ, Jackson ML, Jackson LA, Patel M. Effects of Prior Season Vaccination on Current Season Vaccine Effectiveness in the United States Flu Vaccine Effectiveness Network, 2012-2013 Through 2017-2018. Clin Infect Dis 2021; 73:497-505. [PMID: 32505128 DOI: 10.1093/cid/ciaa706] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2020] [Accepted: 06/01/2020] [Indexed: 01/08/2023] Open
Abstract
BACKGROUND We compared effects of prior vaccination and added or lost protection from current season vaccination among those previously vaccinated. METHODS Our analysis included data from the US Flu Vaccine Effectiveness Network among participants ≥9 years old with acute respiratory illness from 2012-2013 through 2017-2018. Vaccine protection was estimated using multivariate logistic regression with an interaction term for effect of prior season vaccination on current season vaccine effectiveness. Models were adjusted for age, calendar time, high-risk status, site, and season for combined estimates. We estimated protection by combinations of current and prior vaccination compared to unvaccinated in both seasons or current vaccination among prior vaccinated. RESULTS A total of 31 819 participants were included. Vaccine protection against any influenza averaged 42% (95% confidence interval [CI], 38%-47%) among those vaccinated only the current season, 37% (95% CI, 33-40) among those vaccinated both seasons, and 26% (95% CI, 18%-32%) among those vaccinated only the prior season, compared with participants vaccinated neither season. Current season vaccination reduced the odds of any influenza among patients unvaccinated the prior season by 42% (95% CI, 37%-46%), including 57%, 27%, and 55% against A(H1N1), A(H3N2), and influenza B, respectively. Among participants vaccinated the prior season, current season vaccination further reduced the odds of any influenza by 15% (95% CI, 7%-23%), including 29% against A(H1N1) and 26% against B viruses, but not against A(H3N2). CONCLUSIONS Our findings support Advisory Committee on Immunization Practices recommendations for annual influenza vaccination. Benefits of current season vaccination varied among participants with and without prior season vaccination, by virus type/subtype and season.
Collapse
Affiliation(s)
- Sara S Kim
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.,Oak Ridge Institute for Science and Education, Oak Ridge, Tennessee, USA
| | - Brendan Flannery
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Ivo M Foppa
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Jessie R Chung
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Mary Patricia Nowalk
- University of Pittsburgh Schools of the Health Sciences, Pittsburgh, Pennsylvania, USA
| | - Richard K Zimmerman
- University of Pittsburgh Schools of the Health Sciences, Pittsburgh, Pennsylvania, USA
| | - Manjusha Gaglani
- Baylor Scott and White Health, Texas A&M University College of Medicine, Temple, Texas, USA
| | - Arnold S Monto
- University of Michigan School of Public Health, Ann Arbor, Michigan, USA
| | - Emily T Martin
- University of Michigan School of Public Health, Ann Arbor, Michigan, USA
| | | | - Huong Q McLean
- Marshfield Clinical Research Institute, Marshfield, Wisconsin, USA
| | - Michael L Jackson
- Kaiser Permanente Washington Health Research Institute, Seattle, Washington, USA
| | - Lisa A Jackson
- Kaiser Permanente Washington Health Research Institute, Seattle, Washington, USA
| | - Manish Patel
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| |
Collapse
|
40
|
Martínez-Baz I, Navascués A, Casado I, Portillo ME, Guevara M, Gómez-Ibáñez C, Burgui C, Ezpeleta C, Castilla J. Effect of influenza vaccination in patients with asthma. CMAJ 2021; 193:E1120-E1128. [PMID: 34312165 PMCID: PMC8321300 DOI: 10.1503/cmaj.201757] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/13/2021] [Indexed: 12/03/2022] Open
Abstract
BACKGROUND: Although annual influenza vaccination is recommended for persons with asthma, its effectiveness in this patient population is not well described. We evaluated the effect of influenza vaccination in the current and previous seasons in preventing influenza among people with asthma. METHODS: Using population health data from the Navarre region of Spain for the 2015/16 to 2019/20 influenza seasons, we conducted a test-negative case–control study to assess the effect of influenza vaccination in the current and 5 previous seasons. From patients presenting to hospitals and primary health care centres with influenza-like illness who underwent testing for influenza, we estimated the effects of influenza vaccination among patients with asthma overall and between those presenting as inpatients or outpatients, as well as between patients with and without asthma. RESULTS: Of 1032 patients who had asthma and were tested, we confirmed that 421 had influenza and the remaining 611 were test-negative controls. We found that the average effect of influenza vaccination was 43% (adjusted odds ratio [OR] 0.57, 95% confidence interval [CI] 0.40 to 0.80) for current-season vaccination regardless of previous doses, and 38% (adjusted OR 0.62, 95% CI 0.39 to 0.96) for vaccination in previous seasons only. Effects were similar for outpatients and inpatients. Among patients with asthma and confirmed influenza, current-season vaccination did not reduce the odds of hospital admission (adjusted OR 1.05, 95% CI 0.51 to 2.18). Influenza vaccination effects were similar for patients with and without asthma. INTERPRETATION: We estimated that, on average, current or previous influenza vaccination of people with asthma prevented almost half of influenza cases. These results support recommendations that people with asthma receive influenza vaccination.
Collapse
Affiliation(s)
- Iván Martínez-Baz
- Instituto de Salud Pública de Navarra - IdiSNA (Martínez-Baz, Casado, Guevara, Gómez-Ibáñez, Burgui, Castilla); Servicio de Microbiología Clínica, Complejo Hospitalario de Navarra - IdiSNA (Navascués, Portillo, Ezpeleta), Pamplona, Spain; CIBER Epidemiología y Salud Pública, (Martínez-Baz, Casado, Guevara, Burgui, Castilla) Madrid, Spain
| | - Ana Navascués
- Instituto de Salud Pública de Navarra - IdiSNA (Martínez-Baz, Casado, Guevara, Gómez-Ibáñez, Burgui, Castilla); Servicio de Microbiología Clínica, Complejo Hospitalario de Navarra - IdiSNA (Navascués, Portillo, Ezpeleta), Pamplona, Spain; CIBER Epidemiología y Salud Pública, (Martínez-Baz, Casado, Guevara, Burgui, Castilla) Madrid, Spain
| | - Itziar Casado
- Instituto de Salud Pública de Navarra - IdiSNA (Martínez-Baz, Casado, Guevara, Gómez-Ibáñez, Burgui, Castilla); Servicio de Microbiología Clínica, Complejo Hospitalario de Navarra - IdiSNA (Navascués, Portillo, Ezpeleta), Pamplona, Spain; CIBER Epidemiología y Salud Pública, (Martínez-Baz, Casado, Guevara, Burgui, Castilla) Madrid, Spain
| | - María Eugenia Portillo
- Instituto de Salud Pública de Navarra - IdiSNA (Martínez-Baz, Casado, Guevara, Gómez-Ibáñez, Burgui, Castilla); Servicio de Microbiología Clínica, Complejo Hospitalario de Navarra - IdiSNA (Navascués, Portillo, Ezpeleta), Pamplona, Spain; CIBER Epidemiología y Salud Pública, (Martínez-Baz, Casado, Guevara, Burgui, Castilla) Madrid, Spain
| | - Marcela Guevara
- Instituto de Salud Pública de Navarra - IdiSNA (Martínez-Baz, Casado, Guevara, Gómez-Ibáñez, Burgui, Castilla); Servicio de Microbiología Clínica, Complejo Hospitalario de Navarra - IdiSNA (Navascués, Portillo, Ezpeleta), Pamplona, Spain; CIBER Epidemiología y Salud Pública, (Martínez-Baz, Casado, Guevara, Burgui, Castilla) Madrid, Spain
| | - Carlos Gómez-Ibáñez
- Instituto de Salud Pública de Navarra - IdiSNA (Martínez-Baz, Casado, Guevara, Gómez-Ibáñez, Burgui, Castilla); Servicio de Microbiología Clínica, Complejo Hospitalario de Navarra - IdiSNA (Navascués, Portillo, Ezpeleta), Pamplona, Spain; CIBER Epidemiología y Salud Pública, (Martínez-Baz, Casado, Guevara, Burgui, Castilla) Madrid, Spain
| | - Cristina Burgui
- Instituto de Salud Pública de Navarra - IdiSNA (Martínez-Baz, Casado, Guevara, Gómez-Ibáñez, Burgui, Castilla); Servicio de Microbiología Clínica, Complejo Hospitalario de Navarra - IdiSNA (Navascués, Portillo, Ezpeleta), Pamplona, Spain; CIBER Epidemiología y Salud Pública, (Martínez-Baz, Casado, Guevara, Burgui, Castilla) Madrid, Spain
| | - Carmen Ezpeleta
- Instituto de Salud Pública de Navarra - IdiSNA (Martínez-Baz, Casado, Guevara, Gómez-Ibáñez, Burgui, Castilla); Servicio de Microbiología Clínica, Complejo Hospitalario de Navarra - IdiSNA (Navascués, Portillo, Ezpeleta), Pamplona, Spain; CIBER Epidemiología y Salud Pública, (Martínez-Baz, Casado, Guevara, Burgui, Castilla) Madrid, Spain
| | - Jesús Castilla
- Instituto de Salud Pública de Navarra - IdiSNA (Martínez-Baz, Casado, Guevara, Gómez-Ibáñez, Burgui, Castilla); Servicio de Microbiología Clínica, Complejo Hospitalario de Navarra - IdiSNA (Navascués, Portillo, Ezpeleta), Pamplona, Spain; CIBER Epidemiología y Salud Pública, (Martínez-Baz, Casado, Guevara, Burgui, Castilla) Madrid, Spain.
| |
Collapse
|
41
|
Martínez-Baz I, Navascués A, Portillo ME, Casado I, Fresán U, Ezpeleta C, Castilla J. Effect of Influenza Vaccination in Preventing Laboratory-Confirmed Influenza Hospitalization in Patients With Diabetes Mellitus. Clin Infect Dis 2021; 73:107-114. [PMID: 32412600 DOI: 10.1093/cid/ciaa564] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2020] [Accepted: 05/08/2020] [Indexed: 01/07/2023] Open
Abstract
BACKGROUND People with diabetes are at high risk of severe influenza complications. The influenza vaccination effect among diabetic patients remains inconclusive. We estimated the average effect of influenza vaccination status in the current and prior seasons in preventing laboratory-confirmed influenza hospitalization in diabetic patients. METHODS Patients attended in hospitals and primary healthcare centers with influenza-like illness were tested for influenza from the 2013-2014 to 2018-2019 seasons in Navarre, Spain. A test-negative case-control design in diabetic inpatients compared the influenza vaccination status in the current and 5 prior seasons between laboratory-confirmed influenza cases and negative controls. Vaccination status of influenza-confirmed cases was compared between diabetic inpatients and outpatients. Influenza vaccination effect was compared between diabetic patients and older (≥ 60 years) or chronic nondiabetic patients. RESULTS Of 1670 diabetic inpatients tested, 569 (34%) were confirmed for influenza and 1101 were test-negative controls. The average effect in preventing influenza hospitalization was 46% (95% confidence interval [CI], 28%-59%) for current-season vaccination and 44% (95% CI, 20%-61%) for vaccination in prior seasons only in comparison to unvaccinated patients in the current and prior seasons. Among diabetic patients with confirmed influenza, current-season vaccination reduced the probability of hospitalization (adjusted odds ratio, 0.35; 95% CI, .15-.79). In diabetic patients, vaccination effect against influenza hospitalizations was not inferior to that in older or chronic nondiabetic patients. CONCLUSIONS On average, influenza vaccination of diabetic population reduced by around half the risk of influenza hospitalization. Vaccination in prior seasons maintained a notable protective effect. These results reinforce the recommendation of influenza vaccination for diabetic patients.
Collapse
Affiliation(s)
- Iván Martínez-Baz
- Instituto de Salud Pública de Navarra - IdiSNA, Pamplona, Spain.,Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Ana Navascués
- Clinical Microbiology Department, Complejo Hospitalario de Navarra - IdiSNA, Pamplona, Spain
| | - María Eugenia Portillo
- Clinical Microbiology Department, Complejo Hospitalario de Navarra - IdiSNA, Pamplona, Spain
| | - Itziar Casado
- Instituto de Salud Pública de Navarra - IdiSNA, Pamplona, Spain.,Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Ujué Fresán
- Instituto de Salud Pública de Navarra - IdiSNA, Pamplona, Spain.,Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Carmen Ezpeleta
- Clinical Microbiology Department, Complejo Hospitalario de Navarra - IdiSNA, Pamplona, Spain
| | - Jesús Castilla
- Instituto de Salud Pública de Navarra - IdiSNA, Pamplona, Spain.,Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| |
Collapse
|
42
|
Niang MN, Sugimoto JD, Diallo A, Diarra B, Ortiz JR, Lewis KDC, Lafond KE, Halloran ME, Widdowson MA, Neuzil KM, Victor JC. Estimates of Inactivated Influenza Vaccine Effectiveness Among Children in Senegal: Results From 2 Consecutive Cluster-Randomized Controlled Trials in 2010 and 2011. Clin Infect Dis 2021; 72:e959-e969. [PMID: 33165566 DOI: 10.1093/cid/ciaa1689] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2020] [Accepted: 10/30/2020] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND We report results of years 2 and 3 of consecutive cluster-randomized controlled trials of trivalent inactivated influenza vaccine (IIV3) in Senegal. METHODS We cluster-randomized (1:1) 20 villages to annual vaccination with IIV3 or inactivated poliovirus vaccine (IPV) of age-eligible residents (6 months-10 years). The primary outcome was total vaccine effectiveness against laboratory-confirmed influenza illness (LCI) among age-eligible children (modified intention-to-treat population [mITT]). Secondary outcomes were indirect (herd protection) and population (overall community) vaccine effectiveness. RESULTS We vaccinated 74% of 12 408 age-eligible children in year 2 (June 2010-April 11) and 74% of 11 988 age-eligible children in year 3 (April 2011-December 2011) with study vaccines. Annual cumulative incidence of LCI was 4.7 (year 2) and 4.2 (year 3) per 100 mITT child vaccinees of IPV villages. In year 2, IIV3 matched circulating influenza strains. The total effectiveness was 52.8% (95% confidence interval [CI], 32.3-67.0), and the population effectiveness was 36.0% (95% CI, 10.2-54.4) against LCI caused by any influenza strain. The indirect effectiveness against LCI by A/H3N2 was 56.4% (95% CI, 39.0-68.9). In year 3, 74% of influenza detections were vaccine-mismatched to circulating B/Yamagata and 24% were vaccine-matched to circulating A/H3N2. The year 3 total effectiveness against LCI was -14.5% (95% CI, -81.2-27.6). Vaccine effectiveness varied by type/subtype of influenza in both years. CONCLUSIONS IIV3 was variably effective against influenza illness in Senegalese children, with total and indirect vaccine effectiveness present during the year when all circulating strains matched the IIV3 formulation. CLINICAL TRIALS REGISTRATION NCT00893906.
Collapse
Affiliation(s)
| | - Jonathan D Sugimoto
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA.,Seattle Epidemiologic Research and Information Center, Department of Veterans Affairs Office of Research and Development, Seattle, Washington, USA.,Department of Epidemiology, University of Washington, Seattle, Washington, USA
| | - Aldiouma Diallo
- VITROME, Institut de Recherche Pour le Développement, Dakar, Senegal
| | - Bou Diarra
- VITROME, Institut de Recherche Pour le Développement, Dakar, Senegal
| | - Justin R Ortiz
- Center for Vaccine Development and Global Health, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | | | - Kathryn E Lafond
- Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - M Elizabeth Halloran
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA.,Department of Biostatistics, University of Washington, Seattle, Washington, USA
| | - Marc-Alain Widdowson
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA.,Center for Vaccine Development and Global Health, University of Maryland School of Medicine, Baltimore, Maryland, USA.,Institute of Tropical Medicine, Antwerp, Belgium
| | - Kathleen M Neuzil
- Center for Vaccine Development and Global Health, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | | |
Collapse
|
43
|
Kavian N, Hachim A, Cowling BJ, Valkenburg SA. Repeated influenza vaccination provides cumulative protection from distinct H3N2 viruses. Clin Transl Immunology 2021; 10:e1297. [PMID: 34136219 PMCID: PMC8200319 DOI: 10.1002/cti2.1297] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2021] [Revised: 05/20/2021] [Accepted: 05/21/2021] [Indexed: 11/09/2022] Open
Abstract
OBJECTIVES Current inactivated influenza vaccines provide suboptimal protection against antigenic drift, and repeated annual vaccinations shape antibody specificity but the effect on protection from infection is not well understood. METHODS We studied the effects of cumulative and staggered vaccinations in mice to determine the effect of influenza vaccination on protection from infection and immune quality. RESULTS We found that the timing of vaccination and antigenic change impacted the quality of immune responses. When mice received two different H3N2 strains (A/Hong Kong/4801/2014 and A/Singapore/INFIMH-16-0019/2016) by staggered timing of vaccination, there were higher H3HA antibody and B-cell memory responses than four cumulative vaccinations or when two vaccinations were successive. Interestingly, after challenge with a lethal-drifted H3N2 virus (A/Hong Kong/1/1968), mice with staggered vaccination were unable to produce high titres of antibodies specific to the challenge strain compared to other vaccination regimens because of high levels of vaccine-specific cross-reactive antibodies. All vaccination regimens resulted in protection, in terms of viral loads and survival, from lethal challenge, while lung IL-6 and inflammation were lowest in staggered or cumulative vaccination groups, indicating further advantage. CONCLUSION Our findings help justify influenza vaccination policies that currently recommend repeat vaccination in infants and annual seasonal vaccination, with no evidence for impaired immunity by repeated seasonal vaccination.
Collapse
Affiliation(s)
- Niloufar Kavian
- HKU‐Pasteur Research PoleSchool of Public HealthThe University of Hong KongPokfulamHong Kong SARChina
- World Health Organization Collaborating Centre for Infectious Disease Epidemiology and ControlSchool of Public HealthThe University of Hong KongPokfulamHong Kong SARChina
- Université Paris DescartesSorbonne Paris CitéFaculté de MédecineAssistance Publique–Hôpitaux de ParisHôpital Universitaire Paris CentreCentre Hospitalier Universitaire CochinService d’Immunologie BiologiqueParisFrance
- Institut CochinINSERM U1016Université Paris DescartesSorbonne Paris CitéParisFrance
| | - Asmaa Hachim
- HKU‐Pasteur Research PoleSchool of Public HealthThe University of Hong KongPokfulamHong Kong SARChina
- World Health Organization Collaborating Centre for Infectious Disease Epidemiology and ControlSchool of Public HealthThe University of Hong KongPokfulamHong Kong SARChina
| | - Benjamin J Cowling
- World Health Organization Collaborating Centre for Infectious Disease Epidemiology and ControlSchool of Public HealthThe University of Hong KongPokfulamHong Kong SARChina
| | - Sophie A Valkenburg
- HKU‐Pasteur Research PoleSchool of Public HealthThe University of Hong KongPokfulamHong Kong SARChina
- World Health Organization Collaborating Centre for Infectious Disease Epidemiology and ControlSchool of Public HealthThe University of Hong KongPokfulamHong Kong SARChina
| |
Collapse
|
44
|
McLean HQ, Belongia EA. Influenza Vaccine Effectiveness: New Insights and Challenges. Cold Spring Harb Perspect Med 2021; 11:cshperspect.a038315. [PMID: 31988202 DOI: 10.1101/cshperspect.a038315] [Citation(s) in RCA: 30] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
Methods for assessing influenza vaccine efficacy and effectiveness have evolved over six decades. Randomized trials remain the gold standard for licensure, but observational studies are needed for annual assessment of vaccine effectiveness (VE). The test-negative design (TND) has become the de facto standard for these field studies. Patients who seek medical care with acute respiratory illness are tested for influenza, and VE is estimated from the odds of vaccination among influenza cases versus test-negative controls. VE varies across seasons, populations, age groups, and products, but VE estimates are consistently higher for A(H1N1)pdm09 and type B compared with A(H3N2). VE studies are increasingly used in combination with molecular epidemiology to understand the viral and immune system factors that drive clinical efficacy and effectiveness. The emerging field of immunoepidemiology offers the potential to understand complex host-virus interactions that affect vaccine protection, and this knowledge will contribute to universal vaccine development.
Collapse
Affiliation(s)
- Huong Q McLean
- Center for Clinical Epidemiology & Population Health, Marshfield Clinic Research Institute, Marshfield, Wisconsin 54449, USA
| | - Edward A Belongia
- Center for Clinical Epidemiology & Population Health, Marshfield Clinic Research Institute, Marshfield, Wisconsin 54449, USA
| |
Collapse
|
45
|
Caini S, Paget J, Spreeuwenberg P, Korevaar JC, Meijer A, Hooiveld M. Impact of influenza vaccination in the Netherlands, 2007-2016: Vaccinees consult their general practitioner for clinically diagnosed influenza, acute respiratory infections, and pneumonia more often than non-vaccinees. PLoS One 2021; 16:e0249883. [PMID: 34048429 PMCID: PMC8162646 DOI: 10.1371/journal.pone.0249883] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2020] [Accepted: 03/26/2021] [Indexed: 11/18/2022] Open
Abstract
Introduction We aimed to develop an innovative population-based method to estimate the health effect of influenza vaccination based on electronic medical records collected within a general practitioner (GP)-based influenza surveillance system in the Netherlands. Methods In each season between 2006/07 and 2015/16, we fitted multilevel Poisson regression models to compare GP consultation rates for clinically diagnosed influenza, acute respiratory infections (ARI), pneumonia, and lower back pain (as a control) between vaccinated vs. unvaccinated individuals. Season-specific relative risks and 95% confidence intervals (CI) were pooled into summary risk ratio (SRR) through random-effects meta-analysis models. Analyses were stratified by patient age (<45, 45–59, 60–74, ≥75 years) and medical indication for the vaccine (any vs. none, subjects aged ≤60 years only). Results Overall, 12.6% and 21.4% of study subjects were vaccinated because of their age only or because of an underlying medical condition. Vaccine uptake declined over time, especially among subjects aged ≤74 years with medical indications for vaccination. Vaccinated individuals had significantly higher GP consultation rates for clinically diagnosed influenza (SRR 1.24, 95% CI 1.12–1.38, p-value <0.001), ARI (SRR 1.33, 95% CI 1.27–1.39, p-value <0.001), pneumonia (SRR 1.27, 95% CI 1.19–1.36, p-value <0.001), and lower back pain (SRR 1.21, 95% CI 1.14–1.28, p-value <0.001) compared to unvaccinated individuals. Discussion Contrary to expectations, influenza vaccinees have GP consultation rates for clinically diagnosed influenza, ARI and pneumonia that are 24–33% higher compared to unvaccinated individuals. The lower back pain finding suggests that the increase in consultation rates is partially caused by confounding. Importantly, considering the data are not laboratory-confirmed, our results cannot be linked directly to influenza, but only to respiratory illnesses in general.
Collapse
Affiliation(s)
- Saverio Caini
- Nivel (Netherlands Institute for Health Services Research), Utrecht, The Netherlands
| | - John Paget
- Nivel (Netherlands Institute for Health Services Research), Utrecht, The Netherlands
| | - Peter Spreeuwenberg
- Nivel (Netherlands Institute for Health Services Research), Utrecht, The Netherlands
| | - Joke C. Korevaar
- Nivel (Netherlands Institute for Health Services Research), Utrecht, The Netherlands
| | - Adam Meijer
- National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands
| | - Mariëtte Hooiveld
- Nivel (Netherlands Institute for Health Services Research), Utrecht, The Netherlands
- * E-mail:
| |
Collapse
|
46
|
Leung VKY, Fox A, Carolan LA, Aban M, Laurie KL, Druce J, Deng YM, Slavin MA, Marshall C, Sullivan SG. Impact of prior vaccination on antibody response and influenza-like illness among Australian healthcare workers after influenza vaccination in 2016. Vaccine 2021; 39:3270-3278. [PMID: 33985853 DOI: 10.1016/j.vaccine.2021.04.036] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2021] [Revised: 04/15/2021] [Accepted: 04/19/2021] [Indexed: 12/19/2022]
Abstract
BACKGROUND Epidemiological studies suggest that influenza vaccine effectiveness decreases with repeated administration. We examined antibody responses to influenza vaccination among healthcare workers (HCWs) by prior vaccination history and determined the incidence of influenza infection. METHODS HCWs were vaccinated with the 2016 Southern Hemisphere quadrivalent influenza vaccine. Serum samples were collected pre-vaccination, 21-28 days and 7 months post-vaccination. Influenza antibody titres were measured at each time-point using the haemagglutination inhibition (HI) assay. Immunogenicity was compared by prior vaccination history. RESULTS A total of 157 HCWs completed the study. The majority were frequently vaccinated, with only 5 reporting no prior vaccinations since 2011. Rises in titres for all vaccine strains among vaccine-naïve HCWs were significantly greater than rises observed for HCWs who received between 1 and 5 prior vaccinations (p < 0.001, respectively). Post-vaccination GMTs against influenza A but not B strains decreased as the number of prior vaccinations increased from 1 to 5. There was a significant decline in GMTs post-season for both B lineages. Sixty five (41%) HCWs reported at least one influenza-like illness episode, with 6 (4%) identified as influenza positive. CONCLUSIONS Varying serological responses to influenza vaccination were observed among HCWs by prior vaccination history, with vaccine-naïve HCWs demonstrating greater post-vaccination responses against A(H3N2).
Collapse
Affiliation(s)
- Vivian K Y Leung
- WHO Collaborating Centre for Reference and Research on Influenza, Royal Melbourne Hospital, at the Peter Doherty Institute for Infection and Immunity, Melbourne, Australia
| | - Annette Fox
- WHO Collaborating Centre for Reference and Research on Influenza, Royal Melbourne Hospital, at the Peter Doherty Institute for Infection and Immunity, Melbourne, Australia; Department of Microbiology and Immunology, University of Melbourne, at the Peter Doherty Institute for Infection and Immunity, Melbourne, Australia; Department of Infectious Diseases, University of Melbourne, at the Peter Doherty Institute for Infection and Immunity, Melbourne, Australia
| | - Louise A Carolan
- WHO Collaborating Centre for Reference and Research on Influenza, Royal Melbourne Hospital, at the Peter Doherty Institute for Infection and Immunity, Melbourne, Australia
| | - Malet Aban
- WHO Collaborating Centre for Reference and Research on Influenza, Royal Melbourne Hospital, at the Peter Doherty Institute for Infection and Immunity, Melbourne, Australia
| | - Karen L Laurie
- WHO Collaborating Centre for Reference and Research on Influenza, Royal Melbourne Hospital, at the Peter Doherty Institute for Infection and Immunity, Melbourne, Australia
| | - Julian Druce
- Victorian Infectious Disease Reference Laboratory, Royal Melbourne Hospital, at the Peter Doherty Institute for Infection and Immunity, Melbourne, Australia
| | - Yi-Mo Deng
- WHO Collaborating Centre for Reference and Research on Influenza, Royal Melbourne Hospital, at the Peter Doherty Institute for Infection and Immunity, Melbourne, Australia
| | - Monica A Slavin
- Victorian Infectious Disease Service, Royal Melbourne Hospital, at the Peter Doherty Institute for Infection and Immunity, Melbourne, Australia; Department of Infectious Diseases, Peter MacCallum Cancer Centre, Melbourne, Australia; National Centre for Infections in Cancer, Sir Peter MacCallum Department of Oncology, University of Melbourne, Melbourne, Australia
| | - Caroline Marshall
- Victorian Infectious Disease Service, Royal Melbourne Hospital, at the Peter Doherty Institute for Infection and Immunity, Melbourne, Australia; Infection Prevention and Surveillance Service, Royal Melbourne Hospital, Melbourne, Australia; Department of Infectious Diseases, University of Melbourne, at the Peter Doherty Institute for Infection and Immunity, Melbourne, Australia
| | - Sheena G Sullivan
- WHO Collaborating Centre for Reference and Research on Influenza, Royal Melbourne Hospital, at the Peter Doherty Institute for Infection and Immunity, Melbourne, Australia; Fielding School of Public Health, University of California, Los Angeles, USA; Department of Infectious Diseases, University of Melbourne, at the Peter Doherty Institute for Infection and Immunity, Melbourne, Australia.
| |
Collapse
|
47
|
Valente M, Dalmonte G, Riccò M, Debs T, Gugenheim J, Iannelli A, Marcantonio M, Annicchiarico A, Del Rio P, Petracca GL, Tartamella F, Marchesi F. Effects of Bariatric Surgery on Influenza-Like Illness: a Two-Center Cross-sectional Study. Obes Surg 2021; 31:3341-3346. [PMID: 33791926 PMCID: PMC8011777 DOI: 10.1007/s11695-021-05387-w] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2021] [Revised: 03/24/2021] [Accepted: 03/24/2021] [Indexed: 11/28/2022]
Affiliation(s)
- Marina Valente
- Unit of General Surgery, Parma University Hospital, University of Parma, Parma, Italy
| | - Giorgio Dalmonte
- Unit of General Surgery, Parma University Hospital, University of Parma, Parma, Italy
| | - Matteo Riccò
- Dipartimento di Sanità Pubblica/Public Health, AUSL-IRCCS Tecnologie Avanzate e Modelli Assistenziali in Oncologia di Reggio Emilia, Reggio Emilia, Italy
| | - Tarek Debs
- Digestive Surgery and Liver Transplantation Unit, Archet2 Hospital, Centre Hospitalier Universitaire de Nice, Nice, France
| | - Jean Gugenheim
- Digestive Surgery and Liver Transplantation Unit, Archet2 Hospital, Centre Hospitalier Universitaire de Nice, Université Côte d'Azur, Nice, France
| | - Antonio Iannelli
- Digestive Surgery and Liver Transplantation Unit, Archet2 Hospital, Centre Hospitalier Universitaire de Nice, Université Côte d'Azur, Nice, France
| | - Maria Marcantonio
- Digestive Surgery and Liver Transplantation Unit, Archet2 Hospital, Centre Hospitalier Universitaire de Nice, Nice, France
| | - Alfredo Annicchiarico
- Unit of General Surgery, Parma University Hospital, University of Parma, Parma, Italy
| | - Paolo Del Rio
- Unit of General Surgery, Parma University Hospital, University of Parma, Parma, Italy
| | | | | | - Federico Marchesi
- Unit of General Surgery, Parma University Hospital, University of Parma, Parma, Italy. .,Università degli Studi di Parma, Via Gramsci, 14-43126, Parma, Italy.
| |
Collapse
|
48
|
Tatsukawa Y, Arefin MR, Tanaka M, Tanimoto J. Free ticket, discount ticket or intermediate of the best of two worlds - Which subsidy policy is socially optimal to suppress the disease spreading? J Theor Biol 2021; 520:110682. [PMID: 33744309 DOI: 10.1016/j.jtbi.2021.110682] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2020] [Revised: 01/19/2021] [Accepted: 03/15/2021] [Indexed: 11/29/2022]
Abstract
With the aid of the evolutionary vaccination game on a scale-free network, we design a new subsidy policy, named degree dependent subsidy, where cooperative agents get incentives according to their connectivity or degree. That is, agents, having a greater degree, receive a higher incentive, and vice versa. Here we presume that vaccinators are cooperative agents. The new scheme can be said to an intermediate policy between two previously studies policies, namely free ticket and flat discount policies. The former policy distributes free tickets to cooperative hub agents as a priority, whereas the latter dispenses a fixed discount to every cooperator. We compare the efficiency of each policy in terms of having a less infectious state with a minimum social cost. While investigating the performance of the three policies in terms of average social payoff-which takes into account the cost of vaccination as well as infection-the free ticket scheme is found to be the most appealing policies among the three when the budget for subsidy is quite low. The degree dependent subsidy policy outperforms others for a moderate budget size, while the flat discount policy requires a higher budget to effectively suppress the disease. We further estimate threshold levels of the subsidy budget for each policy beyond which subsidizing results in excessive use of vaccination. As a whole, concerning vaccination coverage and final epidemic size, the degree-dependent subsidy scheme outperforms the flat discount scheme, but is dominated by the free ticket policy.
Collapse
Affiliation(s)
- Yuichi Tatsukawa
- Interdisciplinary Graduate School of Engineering Sciences, Kyushu University, Kasuga-koen, Kasuga-shi, Fukuoka 816-8580, Japan
| | - Md Rajib Arefin
- Interdisciplinary Graduate School of Engineering Sciences, Kyushu University, Kasuga-koen, Kasuga-shi, Fukuoka 816-8580, Japan; Department of Mathematics, University of Dhaka, Dhaka 1000, Bangladesh.
| | - Masaki Tanaka
- Interdisciplinary Graduate School of Engineering Sciences, Kyushu University, Kasuga-koen, Kasuga-shi, Fukuoka 816-8580, Japan
| | - Jun Tanimoto
- Interdisciplinary Graduate School of Engineering Sciences, Kyushu University, Kasuga-koen, Kasuga-shi, Fukuoka 816-8580, Japan; Faculty of Engineering Sciences, Kyushu University, Kasuga-koen, Kasuga-shi, Fukuoka 816-8580, Japan
| |
Collapse
|
49
|
de Lusignan S, Hoang U, Liyanage H, Tripathy M, Sherlock J, Joy M, Ferreira F, Diez-Domingo J, Clark T. Using Point of Care Testing to estimate influenza vaccine effectiveness in the English primary care sentinel surveillance network. PLoS One 2021; 16:e0248123. [PMID: 33705452 PMCID: PMC7951853 DOI: 10.1371/journal.pone.0248123] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2020] [Accepted: 02/19/2021] [Indexed: 11/29/2022] Open
Abstract
Introduction Rapid Point of Care Testing (POCT) for influenza could be used to provide information on influenza vaccine effectiveness (IVE) as well as influencing clinical decision-making in primary care. Methods We undertook a test negative case control study to estimate the overall and age-specific (6 months-17 years, 18–64 years, ≥65 years old) IVE against medically attended POCT-confirmed influenza. The study took place over the winter of 2019–2020 and was nested within twelve general practices that are part of the Oxford-Royal College of General Practitioners (RCGP) Research and Surveillance Centre (RSC), the English sentinel surveillance network. Results 648 POCT were conducted. 193 (29.7%) of those who were swabbed had received the seasonal influenza vaccine. The crude unadjusted overall IVE was 46.1% (95% CI: 13.9–66.3). After adjusting for confounders the overall IVE was 26.0% (95% CI: 0–65.5). In total 211 patients were prescribed an antimicrobial after swab testing. Given a positive influenza POCT result, the odds ratio (OR) of receiving an antiviral was 21.1 (95%CI: 2.4–182.2, p = <0.01) and the OR of being prescribed an antibiotic was 0.6 (95%CI: 0.4–0.9, p = <0.01). Discussion Using influenza POCT in a primary care sentinel surveillance network to estimate IVE is feasible and provides comparable results to published IVE estimates. A further advantage is that near patient testing of influenza is associated with improvements in appropriate antiviral and antibiotic use. Larger, randomised studies are needed in primary care to see if these trends are still present and to explore their impact on outcomes.
Collapse
Affiliation(s)
- Simon de Lusignan
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom
- * E-mail:
| | - Uy Hoang
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom
| | - Harshana Liyanage
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom
| | - Manasa Tripathy
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom
| | - Julian Sherlock
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom
| | - Mark Joy
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom
| | - Filipa Ferreira
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom
| | | | - Tristan Clark
- Academic Unit of Clinical and Experimental Sciences, University of Southampton, Southampton, United Kingdom
| |
Collapse
|
50
|
Okoli GN, Racovitan F, Abdulwahid T, Hyder SK, Lansbury L, Righolt CH, Mahmud SM, Nguyen-Van-Tam JS. Decline in Seasonal Influenza Vaccine Effectiveness With Vaccination Program Maturation: A Systematic Review and Meta-analysis. Open Forum Infect Dis 2021; 8:ofab069. [PMID: 33738320 PMCID: PMC7953658 DOI: 10.1093/ofid/ofab069] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2020] [Accepted: 02/03/2021] [Indexed: 01/08/2023] Open
Abstract
BACKGROUND Evidence suggests that repeated influenza vaccination may reduce vaccine effectiveness (VE). Using influenza vaccination program maturation (PM; number of years since program inception) as a proxy for population-level repeated vaccination, we assessed the impact on pooled adjusted end-season VE estimates from outpatient test-negative design studies. METHODS We systematically searched and selected full-text publications from January 2011 to February 2020 (PROSPERO: CRD42017064595). We obtained influenza vaccination program inception year for each country and calculated PM as the difference between the year of deployment and year of program inception. We categorized PM into halves (cut at the median), tertiles, and quartiles and calculated pooled VE using an inverse-variance random-effects model. The primary outcome was pooled VE against all influenza. RESULTS We included 72 articles from 11 931 citations. Across the 3 categorizations of PM, a lower pooled VE against all influenza for all patients was observed with PM. Substantially higher reductions were observed in older adults (≥65 years). We observed similar results for A(H1N1)pdm09, A(H3N2), and influenza B. CONCLUSIONS The evidence suggests that influenza VE declines with vaccination PM. This study forms the basis for further discussions and examinations of the potential impact of vaccination PM on seasonal VE.
Collapse
Affiliation(s)
- George N Okoli
- College of Pharmacy, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, Manitoba, Canada
- Vaccine and Drug Evaluation Centre, University of Manitoba, Winnipeg, Manitoba, Canada
- George and Fay Yee Centre for Healthcare Innovation, Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, Manitoba, Canada
| | - Florentin Racovitan
- Vaccine and Drug Evaluation Centre, University of Manitoba, Winnipeg, Manitoba, Canada
| | - Tiba Abdulwahid
- George and Fay Yee Centre for Healthcare Innovation, Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, Manitoba, Canada
| | - Syed K Hyder
- Department of Epidemiology and Public Health, University of Nottingham School of Medicine, Nottingham, United Kingdom
| | - Louise Lansbury
- Department of Epidemiology and Public Health, University of Nottingham School of Medicine, Nottingham, United Kingdom
| | - Christiaan H Righolt
- Vaccine and Drug Evaluation Centre, University of Manitoba, Winnipeg, Manitoba, Canada
- Community Health Sciences, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, Manitoba, Canada
| | - Salaheddin M Mahmud
- College of Pharmacy, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, Manitoba, Canada
- Vaccine and Drug Evaluation Centre, University of Manitoba, Winnipeg, Manitoba, Canada
- Community Health Sciences, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, Manitoba, Canada
| | - Jonathan S Nguyen-Van-Tam
- Department of Epidemiology and Public Health, University of Nottingham School of Medicine, Nottingham, United Kingdom
| |
Collapse
|