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Russell CA, Fouchier RAM, Ghaswalla P, Park Y, Vicic N, Ananworanich J, Nachbagauer R, Rudin D. Seasonal influenza vaccine performance and the potential benefits of mRNA vaccines. Hum Vaccin Immunother 2024; 20:2336357. [PMID: 38619079 PMCID: PMC11020595 DOI: 10.1080/21645515.2024.2336357] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2023] [Accepted: 03/26/2024] [Indexed: 04/16/2024] Open
Abstract
Influenza remains a public health threat, partly due to suboptimal effectiveness of vaccines. One factor impacting vaccine effectiveness is strain mismatch, occurring when vaccines no longer match circulating strains due to antigenic drift or the incorporation of inadvertent (eg, egg-adaptive) mutations during vaccine manufacturing. In this review, we summarize the evidence for antigenic drift of circulating viruses and/or egg-adaptive mutations occurring in vaccine strains during the 2011-2020 influenza seasons. Evidence suggests that antigenic drift led to vaccine mismatch during four seasons and that egg-adaptive mutations caused vaccine mismatch during six seasons. These findings highlight the need for alternative vaccine development platforms. Recently, vaccines based on mRNA technology have demonstrated efficacy against SARS-CoV-2 and respiratory syncytial virus and are under clinical evaluation for seasonal influenza. We discuss the potential for mRNA vaccines to address strain mismatch, as well as new multi-component strategies using the mRNA platform to improve vaccine effectiveness.
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Affiliation(s)
- Colin A. Russell
- Department of Medical Microbiology & Infection Prevention, Amsterdam University Medical Center, University of Amsterdam, Amsterdam, the Netherlands
| | - Ron A. M. Fouchier
- Department of Viroscience, Erasmus Medical Center, Rotterdam, the Netherlands
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2
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Schewe KE, Cooper S, Crowe J, Llewellyn S, Ritter L, Ryan KA, Dibben O. An Optimised Live Attenuated Influenza Vaccine Ferret Efficacy Model Successfully Translates H1N1 Clinical Data. Vaccines (Basel) 2024; 12:1275. [PMID: 39591178 PMCID: PMC11598904 DOI: 10.3390/vaccines12111275] [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: 09/17/2024] [Revised: 10/28/2024] [Accepted: 11/07/2024] [Indexed: 11/28/2024] Open
Abstract
Between 2013 and 2016, the A/H1N1pdm09 component of the live attenuated influenza vaccine (LAIV) produced instances of lower-than-expected vaccine effectiveness. Standard pre-clinical ferret models, using a human-like vaccine dose and focusing on antigenic match to circulating wildtype (wt) strains, were unable to predict these fluctuations. By optimising the vaccine dose and utilising clinically relevant endpoints, we aimed to develop a ferret efficacy model able to reproduce clinical observations. Ferrets were intranasally vaccinated with 4 Log10 FFU/animal (1000-fold reduction compared to clinical dose) of seven historical LAIV formulations with known (19-90%) H1N1 vaccine efficacy or effectiveness (VE). Following homologous H1N1 wt virus challenge, protection was assessed based on primary endpoints of wt virus shedding in the upper respiratory tract and the development of fever. LAIV formulations with high (82-90%) H1N1 VE provided significant protection from wt challenge, while formulations with reduced (19-32%) VE tended not to provide significant protection. The strongest correlation observed was between reduction in wt shedding and VE (R2 = 0.75). Conversely, serum immunogenicity following vaccination was not a reliable indicator of protection (R2 = 0.37). This demonstrated that, by optimisation of the vaccine dose and the use of non-serological, clinically relevant protection endpoints, the ferret model could successfully translate clinical H1N1 LAIV VE data.
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Affiliation(s)
- Katarzyna E. Schewe
- Flu-BPD, BioPharmaceutical Development, R&D, AstraZeneca, Liverpool L24 9JW, UK; (K.E.S.); (S.C.); (J.C.); (S.L.); (L.R.)
| | - Shaun Cooper
- Flu-BPD, BioPharmaceutical Development, R&D, AstraZeneca, Liverpool L24 9JW, UK; (K.E.S.); (S.C.); (J.C.); (S.L.); (L.R.)
| | - Jonathan Crowe
- Flu-BPD, BioPharmaceutical Development, R&D, AstraZeneca, Liverpool L24 9JW, UK; (K.E.S.); (S.C.); (J.C.); (S.L.); (L.R.)
| | - Steffan Llewellyn
- Flu-BPD, BioPharmaceutical Development, R&D, AstraZeneca, Liverpool L24 9JW, UK; (K.E.S.); (S.C.); (J.C.); (S.L.); (L.R.)
| | - Lydia Ritter
- Flu-BPD, BioPharmaceutical Development, R&D, AstraZeneca, Liverpool L24 9JW, UK; (K.E.S.); (S.C.); (J.C.); (S.L.); (L.R.)
| | - Kathryn A. Ryan
- UK Health Security Agency, Porton Down, Salisbury SP4 0JG, UK;
| | - Oliver Dibben
- Flu-BPD, BioPharmaceutical Development, R&D, AstraZeneca, Liverpool L24 9JW, UK; (K.E.S.); (S.C.); (J.C.); (S.L.); (L.R.)
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3
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Xie Y, Tian X, Zhang X, Yao H, Wu N. Immune interference in effectiveness of influenza and COVID-19 vaccination. Front Immunol 2023; 14:1167214. [PMID: 37153582 PMCID: PMC10154574 DOI: 10.3389/fimmu.2023.1167214] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2023] [Accepted: 04/06/2023] [Indexed: 05/09/2023] Open
Abstract
Vaccines are known to function as the most effective interventional therapeutics for controlling infectious diseases, including polio, smallpox, rabies, tuberculosis, influenza and SARS-CoV-2. Smallpox has been eliminated completely and polio is almost extinct because of vaccines. Rabies vaccines and Bacille Calmette-Guérin (BCG) vaccines could effectively protect humans against respective infections. However, both influenza vaccines and COVID-19 vaccines are unable to eliminate these two infectious diseases of their highly variable antigenic sites in viral proteins. Vaccine effectiveness (VE) could be negatively influenced (i.e., interfered with) by immune imprinting of previous infections or vaccinations, and repeated vaccinations could interfere with VE against infections due to mismatch between vaccine strains and endemic viral strains. Moreover, VE could also be interfered with when more than one kind of vaccine is administrated concomitantly (i.e., co-administrated), suggesting that the VE could be modulated by the vaccine-induced immunity. In this review, we revisit the evidence that support the interfered VE result from immune imprinting or repeated vaccinations in influenza and COVID-19 vaccine, and the interference in co-administration of these two types of vaccines is also discussed. Regarding the development of next-generation COVID-19 vaccines, the researchers should focus on the induction of cross-reactive T-cell responses and naive B-cell responses to overcome negative effects from the immune system itself. The strategy of co-administrating influenza and COVID-19 vaccine needs to be considered more carefully and more clinical data is needed to verify this strategy to be safe and immunogenic.
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Affiliation(s)
- Yiwen Xie
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
- Jinan Microecological Biomedicine Shandong Laboratory, Jinan, Shandong, China
| | - Xuebin Tian
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
- Jinan Microecological Biomedicine Shandong Laboratory, Jinan, Shandong, China
| | - Xiaodi Zhang
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
- Jinan Microecological Biomedicine Shandong Laboratory, Jinan, Shandong, China
| | - Hangping Yao
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
- Jinan Microecological Biomedicine Shandong Laboratory, Jinan, Shandong, China
| | - Nanping Wu
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
- Jinan Microecological Biomedicine Shandong Laboratory, Jinan, Shandong, China
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4
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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.
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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.
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5
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Chen Z, Bancej C, Lee L, Champredon D. Antigenic drift and epidemiological severity of seasonal influenza in Canada. Sci Rep 2022; 12:15625. [PMID: 36115880 PMCID: PMC9482630 DOI: 10.1038/s41598-022-19996-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2022] [Accepted: 09/07/2022] [Indexed: 12/05/2022] Open
Abstract
Seasonal influenza epidemics circulate globally every year with varying levels of severity. One of the major drivers of this seasonal variation is thought to be the antigenic drift of influenza viruses, resulting from the accumulation of mutations in viral surface proteins. In this study, we aimed to investigate the association between the genetic drift of seasonal influenza viruses (A/H1N1, A/H3N2 and B) and the epidemiological severity of seasonal epidemics within a Canadian context. We obtained hemagglutinin protein sequences collected in Canada between the 2006/2007 and 2019/2020 flu seasons from GISAID and calculated Hamming distances in a sequence-based approach to estimating inter-seasonal antigenic differences. We also gathered epidemiological data on cases, hospitalizations and deaths from national surveillance systems and other official sources, as well as vaccine effectiveness estimates to address potential effect modification. These aggregate measures of disease severity were integrated into a single seasonal severity index. We performed linear regressions of our severity index with respect to the inter-seasonal antigenic distances, controlling for vaccine effectiveness. We did not find any evidence of a statistical relationship between antigenic distance and seasonal influenza severity in Canada. Future studies may need to account for additional factors, such as co-circulation of other respiratory pathogens, population imprinting, cohort effects and environmental parameters, which may drive seasonal influenza severity.
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Affiliation(s)
- Zishu Chen
- National Microbiology Laboratory, Public Health Risk Sciences Division, Public Health Agency of Canada, Guelph, ON, Canada
- Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada
| | - Christina Bancej
- Surveillance and Epidemiology Division, Centre for Immunization and Respiratory Infectious Disease, Public Health Agency of Canada, Ottawa, ON, Canada
| | - Liza Lee
- Surveillance and Epidemiology Division, Centre for Immunization and Respiratory Infectious Disease, Public Health Agency of Canada, Ottawa, ON, Canada
| | - David Champredon
- National Microbiology Laboratory, Public Health Risk Sciences Division, Public Health Agency of Canada, Guelph, ON, Canada.
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6
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Skowronski DM, Leir S, Sabaiduc S, Chambers C, Zou M, Rose C, Olsha R, Dickinson JA, Winter AL, Jassem A, Gubbay JB, Drews SJ, Charest H, Chan T, Hickman R, Bastien N, Li Y, Krajden M, De Serres G. Influenza Vaccine Effectiveness by A(H3N2) Phylogenetic Subcluster and Prior Vaccination History: 2016-2017 and 2017-2018 Epidemics in Canada. J Infect Dis 2022; 225:1387-1398. [PMID: 32215564 PMCID: PMC9016427 DOI: 10.1093/infdis/jiaa138] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2019] [Accepted: 03/23/2020] [Indexed: 12/29/2022] Open
Abstract
BACKGROUND The influenza A(H3N2) vaccine was updated from clade 3C.3a in 2015-2016 to 3C.2a for 2016-2017 and 2017-2018. Circulating 3C.2a viruses showed considerable hemagglutinin glycoprotein diversification and the egg-adapted vaccine also bore mutations. METHODS Vaccine effectiveness (VE) in 2016-2017 and 2017-2018 was assessed by test-negative design, explored by A(H3N2) phylogenetic subcluster and prior season's vaccination history. RESULTS In 2016-2017, A(H3N2) VE was 36% (95% confidence interval [CI], 18%-50%), comparable with (43%; 95% CI, 24%-58%) or without (33%; 95% CI, -21% to 62%) prior season's vaccination. In 2017-2018, VE was 14% (95% CI, -8% to 31%), lower with (9%; 95% CI, -18% to 30%) versus without (45%; 95% CI, -7% to 71%) prior season's vaccination. In 2016-2017, VE against predominant clade 3C.2a1 viruses was 33% (95% CI, 11%-50%): 18% (95% CI, -40% to 52%) for 3C.2a1a defined by a pivotal T135K loss of glycosylation; 60% (95% CI, 19%-81%) for 3C.2a1b (without T135K); and 31% (95% CI, 2%-51%) for other 3C.2a1 variants (with/without T135K). VE against 3C.2a2 viruses was 45% (95% CI, 2%-70%) in 2016-2017 but 15% (95% CI, -7% to 33%) in 2017-2018 when 3C.2a2 predominated. VE against 3C.2a1b in 2017-2018 was 37% (95% CI, -57% to 75%), lower at 12% (95% CI, -129% to 67%) for a new 3C.2a1b subcluster (n = 28) also bearing T135K. CONCLUSIONS Exploring VE by phylogenetic subcluster and prior vaccination history reveals informative heterogeneity. Pivotal mutations affecting glycosylation sites, and repeat vaccination using unchanged antigen, may reduce VE.
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Affiliation(s)
- Danuta M Skowronski
- British Columbia Centre for Disease Control, Vancouver, Canada
- University of British Columbia, Vancouver, Canada
| | - Siobhan Leir
- British Columbia Centre for Disease Control, Vancouver, Canada
| | - Suzana Sabaiduc
- British Columbia Centre for Disease Control, Vancouver, Canada
| | | | - Macy Zou
- British Columbia Centre for Disease Control, Vancouver, Canada
| | - Caren Rose
- British Columbia Centre for Disease Control, Vancouver, Canada
- University of British Columbia, Vancouver, Canada
| | | | | | | | - Agatha Jassem
- British Columbia Centre for Disease Control, Vancouver, Canada
- University of British Columbia, Vancouver, Canada
| | - Jonathan B Gubbay
- Public Health Ontario, Toronto, Canada
- University of Toronto, Toronto, Canada
| | - Steven J Drews
- Provincial Laboratory for Public Health, Edmonton, Alberta
- University of Alberta, Edmonton, Canada
| | - Hugues Charest
- Institut National de Santé Publique du Québec, Québec, Canada
| | - Tracy Chan
- British Columbia Centre for Disease Control, Vancouver, Canada
| | - Rebecca Hickman
- British Columbia Centre for Disease Control, Vancouver, Canada
| | - Nathalie Bastien
- National Microbiology Laboratory, Public Health Agency of Canada, Winnipeg, Canada
| | - Yan Li
- National Microbiology Laboratory, Public Health Agency of Canada, Winnipeg, Canada
| | - Mel Krajden
- British Columbia Centre for Disease Control, Vancouver, Canada
- University of British Columbia, Vancouver, Canada
| | - Gaston De Serres
- Institut National de Santé Publique du Québec, Québec, Canada
- Laval University, Quebec, Canada
- Centre Hospitalier Universitaire de Québec, Québec, Canada
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7
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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.
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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
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8
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Gaglani M, Vasudevan A, Raiyani C, Murthy K, Chen W, Reis M, Belongia EA, McLean HQ, Jackson ML, Jackson LA, Zimmerman RK, Nowalk MP, Monto AS, Martin ET, Chung JR, Spencer S, Fry AM, Flannery B. Effectiveness of Trivalent and Quadrivalent Inactivated Vaccines Against Influenza B in the United States, 2011-2012 to 2016-2017. Clin Infect Dis 2021; 72:1147-1157. [PMID: 32006430 PMCID: PMC8028105 DOI: 10.1093/cid/ciaa102] [Citation(s) in RCA: 24] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2019] [Accepted: 01/30/2020] [Indexed: 11/13/2022] Open
Abstract
Background Since 2013, quadrivalent influenza vaccines containing 2 B viruses gradually replaced trivalent vaccines in the United States. We compared the vaccine effectiveness of quadrivalent to trivalent inactivated vaccines (IIV4 to IIV3, respectively) against illness due to influenza B during the transition, when IIV4 use increased rapidly. Methods The US Influenza Vaccine Effectiveness (Flu VE) Network analyzed 25 019 of 42 600 outpatients aged ≥6 months who enrolled within 7 days of illness onset during 6 seasons from 2011–2012. Upper respiratory specimens were tested for the influenza virus type and B lineage. Using logistic regression, we estimated IIV4 or IIV3 effectiveness by comparing the odds of an influenza B infection overall and the odds of B lineage among vaccinated versus unvaccinated participants. Over 4 seasons from 2013–2014, we compared the relative odds of an influenza B infection among IIV4 versus IIV3 recipients. Results Trivalent vaccines included the predominantly circulating B lineage in 4 of 6 seasons. During 4 influenza seasons when both IIV4 and IIV3 were widely used, the overall effectiveness against any influenza B was 53% (95% confidence interval [CI], 45–59) for IIV4 versus 45% (95% CI, 34–54) for IIV3. IIV4 was more effective than IIV3 against the B lineage not included in IIV3, but comparative effectiveness against illnesses related to any influenza B favored neither vaccine valency. Conclusions The uptake of quadrivalent inactivated influenza vaccines was not associated with increased protection against any influenza B illness, despite the higher effectiveness of quadrivalent vaccines against the added B virus lineage. Public health impact and cost-benefit analyses are needed globally.
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Affiliation(s)
- Manjusha Gaglani
- Baylor Scott & White Health, Texas A&M University College of Medicine, Temple, Texas, USA
| | - Anupama Vasudevan
- Baylor Scott & White Health, Texas A&M University College of Medicine, Temple, Texas, USA
| | - Chandni Raiyani
- Baylor Scott & White Health, Texas A&M University College of Medicine, Temple, Texas, USA
| | - Kempapura Murthy
- Baylor Scott & White Health, Texas A&M University College of Medicine, Temple, Texas, USA
| | - Wencong Chen
- Baylor Scott & White Health, Texas A&M University College of Medicine, Temple, Texas, USA
| | - Michael Reis
- Baylor Scott & White Health, Texas A&M University College of Medicine, Temple, Texas, USA
| | | | - Huong Q McLean
- Marshfield Clinic 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
| | - Richard K Zimmerman
- University of Pittsburgh, Schools of Health Sciences, Pittsburgh, Pennsylvania, USA
| | - Mary Patricia Nowalk
- University of Pittsburgh, Schools of Health Sciences, Pittsburgh, Pennsylvania, 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
| | - Jessie R Chung
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Sarah Spencer
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Alicia M Fry
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Brendan Flannery
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
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9
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Okoli GN, Abdulwahid T, Racovitan F, Righolt CH, Mahmud SM. Interim seasonal influenza vaccine effectiveness estimates as proxy for final estimates: analysis of systematically identified matched pairs of interim/final estimates from test-negative design studies in outpatient settings from 2010/11 to 2018/19. Expert Rev Vaccines 2021; 20:585-599. [PMID: 33682585 DOI: 10.1080/14760584.2021.1899821] [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: 10/22/2022]
Abstract
OBJECTIVES Limited time for seasonal influenza vaccine development means that the World Health Organization has to consider interim (early) rather than final vaccine effectiveness (VE) estimates in deciding influenza vaccine composition. We assessed agreement between interim and final VE estimates, and factors that may determine a substantial difference (≥10%) between point estimates. METHODS This was a mixed methods study. We systematically searched, identified, and matched interim/final VE studies of test-negative design (TND) type in outpatient settings after the 2009/10 influenza pandemic. The chi-square statistic (χ2) was used to assess the statistical significance of the difference between paired interim/final VE estimates. We calculated the difference between point estimates and used multivariable logistic regression to assess factors that may determine a substantial difference. RESULTS We identified 68 interim/final VE pairs. There was no statistically significant difference between almost all compared pairs. An inconsistent statistical model for interim/final VE estimation and interim VE estimation before the epidemic peak increased the odds of having a substantial difference between estimates. CONCLUSION : Interim influenza VE appears to be sufficient for vaccine composition decision-making. Consistency in interim/final VE estimation, and interim VE estimation during/after epidemic peak may increase agreement between the VE estimates.
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Affiliation(s)
- George N Okoli
- College of Pharmacy, Rady Faculty of 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.,Vaccine and Drug Evaluation Centre, University of Manitoba, Winnipeg, MB, 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, MB, Canada
| | - Florentin Racovitan
- Vaccine and Drug Evaluation Centre, University of Manitoba, Winnipeg, MB, Canada
| | - Christiaan H Righolt
- Vaccine and Drug Evaluation Centre, University of Manitoba, Winnipeg, MB, Canada.,Community Health Sciences, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB, Canada
| | - Salaheddin M Mahmud
- College of Pharmacy, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB, Canada.,Vaccine and Drug Evaluation Centre, University of Manitoba, Winnipeg, MB, Canada.,Community Health Sciences, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB, Canada
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10
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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.
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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
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11
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Okoli GN, Racovitan F, Abdulwahid T, Righolt CH, Mahmud SM. Variable seasonal influenza vaccine effectiveness across geographical regions, age groups and levels of vaccine antigenic similarity with circulating virus strains: A systematic review and meta-analysis of the evidence from test-negative design studies after the 2009/10 influenza pandemic. Vaccine 2021; 39:1225-1240. [PMID: 33494964 DOI: 10.1016/j.vaccine.2021.01.032] [Citation(s) in RCA: 37] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2020] [Revised: 12/21/2020] [Accepted: 01/08/2021] [Indexed: 11/17/2022]
Abstract
BACKGROUND We examined the influence of some factors on seasonal influenza vaccine effectiveness (VE) from test-negative design (TND) studies. METHODS We systematically searched for full-text publications of VE against laboratory-confirmed influenza from TND studies in outpatient settings after the 2009/10 influenza pandemic. Two reviewers independently selected and extracted data from the included studies. We calculated pooled adjusted VE across geographical regions, age groups and levels of vaccine antigenic similarity with circulating virus strains, using an inverse variance, random-effects model. RESULTS We included 76 full-text articles from 11,931 citations. VE estimates against A(H1N1)pdm09, A(H3N2), influenza B, and all influenza were homogenous and point pooled VE higher in the Southern hemisphere compared with the Northern hemisphere. The difference in pooled VE between the Southern and Northern hemispheres was statistically significant for A(H3N2), influenza B, and all influenza. A consistent pattern was observed in pooled VE across both hemispheres and continents, with the highest point pooled VE being against A(H1N1)pdm09, followed by influenza B, and lowest against A(H3N2). A nearly consistent pattern was observed in pooled VE across age groups in the Northern hemisphere, with pooled VE mostly decreasing with age. Point pooled VE against A(H3N2), influenza B, and all influenza were statistically significantly higher when vaccine was antigenically similar to circulating virus strains compared with when antigenically dissimilar. Similar pattern was observed in the Northern hemisphere, but there was a lack of data from the Southern hemisphere. CONCLUSION Consistent patterns appear to exist in seasonal influenza VE across regions, age groups, and levels of vaccine antigenic similarity with circulating virus strains, with best vaccine performance against A(H1N1)pdm09 and worst against A(H3N2). The evidence highlights the need to consider geographical location, age, and vaccine antigenic similarity with circulating virus strains when designing and evaluating influenza VE studies.
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Affiliation(s)
- G N Okoli
- College of Pharmacy, Rady Faculty of 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; Vaccine and Drug Evaluation Centre, University of Manitoba, Winnipeg, MB, Canada
| | - F Racovitan
- Vaccine and Drug Evaluation Centre, University of Manitoba, Winnipeg, MB, Canada
| | - T Abdulwahid
- George and Fay Yee Centre for Healthcare Innovation, Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB, Canada
| | - C H Righolt
- Vaccine and Drug Evaluation Centre, University of Manitoba, Winnipeg, MB, Canada; Community Health Sciences, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB, Canada
| | - S M Mahmud
- College of Pharmacy, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB, Canada; Vaccine and Drug Evaluation Centre, University of Manitoba, Winnipeg, MB, Canada; Community Health Sciences, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB, Canada.
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12
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Skowronski DM, Zou M, Sabaiduc S, Murti M, Olsha R, Dickinson JA, Gubbay JB, Croxen MA, Charest H, Jassem A, Krajden M, Bastien N, Li Y, De Serres G. Interim estimates of 2019/20 vaccine effectiveness during early-season co-circulation of influenza A and B viruses, Canada, February 2020. ACTA ACUST UNITED AC 2020; 25. [PMID: 32098644 PMCID: PMC7043051 DOI: 10.2807/1560-7917.es.2020.25.7.2000103] [Citation(s) in RCA: 27] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
Interim results from Canada's Sentinel Practitioner Surveillance Network show that during a season characterised by early co-circulation of influenza A and B viruses, the 2019/20 influenza vaccine has provided substantial protection against medically-attended influenza illness. Adjusted VE overall was 58% (95% confidence interval (CI): 47 to 66): 44% (95% CI: 26 to 58) for A(H1N1)pdm09, 62% (95% CI: 37 to 77) for A(H3N2) and 69% (95% CI: 57 to 77) for influenza B viruses, predominantly B/Victoria lineage.
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Affiliation(s)
- Danuta M Skowronski
- University of British Columbia, Vancouver, Canada.,British Columbia Centre for Disease Control, Vancouver, Canada
| | - Macy Zou
- British Columbia Centre for Disease Control, Vancouver, Canada
| | - Suzana Sabaiduc
- British Columbia Centre for Disease Control, Vancouver, Canada
| | - Michelle Murti
- University of Toronto, Toronto, Canada.,Public Health Ontario, Toronto, Canada
| | | | | | - Jonathan B Gubbay
- University of Toronto, Toronto, Canada.,Public Health Ontario, Toronto, Canada
| | - Matthew A Croxen
- University of Alberta, Edmonton, Canada.,Public Health Laboratory (ProvLab), Alberta Precision Laboratories, Edmonton, Alberta, Canada
| | - Hugues Charest
- Institut National de Santé Publique du Québec, Québec, Canada
| | - Agatha Jassem
- University of British Columbia, Vancouver, Canada.,British Columbia Centre for Disease Control, Vancouver, Canada
| | - Mel Krajden
- University of British Columbia, Vancouver, Canada.,British Columbia Centre for Disease Control, Vancouver, Canada
| | - Nathalie Bastien
- National Microbiology Laboratory, Public Health Agency of Canada, Winnipeg, Canada
| | - Yan Li
- National Microbiology Laboratory, Public Health Agency of Canada, Winnipeg, Canada
| | - Gaston De Serres
- Centre Hospitalier Universitaire de Québec, Québec, Canada.,Laval University, Quebec, Canada.,Institut National de Santé Publique du Québec, Québec, Canada
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13
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Skowronski DM, Leir S, Sabaiduc S, Murti M, Dickinson JA, Olsha R, Gubbay JB, Croxen MA, Charest H, Chan T, Bastien N, Li Y, Krajden M, De Serres G. Interim estimates of 2018/19 vaccine effectiveness against influenza A(H1N1)pdm09, Canada, January 2019. ACTA ACUST UNITED AC 2020; 24. [PMID: 30696523 PMCID: PMC6351998 DOI: 10.2807/1560-7917.es.2019.24.4.1900055] [Citation(s) in RCA: 37] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
Abstract
Using a test-negative design, the Canadian Sentinel Practitioner Surveillance Network assessed interim 2018/19 vaccine effectiveness (VE) against predominant influenza A(H1N1)pdm09 viruses. Adjusted VE was 72% (95% confidence interval: 60 to 81) against medically attended, laboratory-confirmed influenza A(H1N1)pdm09 illness. This substantial vaccine protection was observed in all age groups, notably young children who appeared to be disproportionately affected. Sequence analysis identified heterogeneity in emerging clade 6B.1 viruses but no dominant drift variant.
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Affiliation(s)
- Danuta M Skowronski
- University of British Columbia, Vancouver, Canada.,British Columbia Centre for Disease Control, Vancouver, Canada
| | - Siobhan Leir
- British Columbia Centre for Disease Control, Vancouver, Canada
| | - Suzana Sabaiduc
- British Columbia Centre for Disease Control, Vancouver, Canada
| | - Michelle Murti
- University of Toronto, Toronto, Canada.,Public Health Ontario, Toronto, Canada
| | | | | | - Jonathan B Gubbay
- University of Toronto, Toronto, Canada.,Public Health Ontario, Toronto, Canada
| | - Matthew A Croxen
- University of Alberta, Edmonton, Canada.,Provincial Laboratory for Public Health, Edmonton, Canada
| | - Hugues Charest
- Institut National de Santé Publique du Québec, Quebec City, Canada
| | - Tracy Chan
- British Columbia Centre for Disease Control, Vancouver, Canada
| | - Nathalie Bastien
- National Microbiology Laboratory, Public Health Agency of Canada, Winnipeg, Canada
| | - Yan Li
- National Microbiology Laboratory, Public Health Agency of Canada, Winnipeg, Canada
| | - Mel Krajden
- University of British Columbia, Vancouver, Canada.,British Columbia Centre for Disease Control, Vancouver, Canada
| | - Gaston De Serres
- Centre Hospitalier Universitaire de Québec, Quebec City, Canada.,Laval University, Quebec City, Canada.,Institut National de Santé Publique du Québec, Quebec City, Canada
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14
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Okoli GN, Racovitan F, Righolt CH, Mahmud SM. Variations in Seasonal Influenza Vaccine Effectiveness due to Study Characteristics: A Systematic Review and Meta-analysis of Test-Negative Design Studies. Open Forum Infect Dis 2020; 7:ofaa177. [PMID: 32704509 PMCID: PMC7367680 DOI: 10.1093/ofid/ofaa177] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2020] [Accepted: 05/19/2020] [Indexed: 01/06/2023] Open
Abstract
BACKGROUND Study characteristics influence vaccine effectiveness (VE) estimation. We examined the influence of some of these on seasonal influenza VE estimates from test-negative design (TND) studies. METHODS We systematically searched bibliographic databases and websites for full-text publications of TND studies on VE against laboratory-confirmed seasonal influenza in outpatients after the 2009 pandemic influenza. We followed the Cochrane Handbook for Systematic Reviews of Interventions guidelines. We examined influence of source of vaccination information, respiratory specimen swab time, and covariate adjustment on VE. We calculated pooled adjusted VE against H1N1 and H3N2 influenza subtypes, influenza B, and all influenza using an inverse-variance random-effects model. RESULTS We included 70 full-text articles. Pooled VE against H1N1 and H3N2 influenza subtypes, influenza B, and all influenza was higher for studies that used self-reported vaccination than for those that used medical records. Pooled VE was higher with respiratory specimen collection within ≤7 days vs ≤4 days of symptom onset, but the opposite was observed for H1N1. Pooled VE was higher for studies that adjusted for age but not for medical conditions compared with those that adjusted for both. There was, however, a lack of statistical significance in almost all differences in pooled VE between compared groups. CONCLUSIONS The available evidence is not strong enough to conclude that influenza VE from TND studies varies by source of vaccination information, respiratory specimen swab time, or adjustment for age/medical conditions. The evidence is, however, indicative that these factors ought to be considered while designing or evaluating TND studies of influenza VE.
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Affiliation(s)
- George N Okoli
- George and Fay Yee Centre for Healthcare Innovation, Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB, Canada
- College of Pharmacy, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB, Canada
- Vaccine and Drug Evaluation Centre, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB, Canada
| | - Florentin Racovitan
- Vaccine and Drug Evaluation Centre, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB, Canada
| | - Christiaan H Righolt
- Vaccine and Drug Evaluation Centre, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB, Canada
| | - Salaheddin M Mahmud
- Vaccine and Drug Evaluation Centre, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB, Canada
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15
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Skowronski DM, Leir S, De Serres G, Murti M, Dickinson JA, Winter AL, Olsha R, Croxen MA, Drews SJ, Charest H, Martineau C, Sabaiduc S, Bastien N, Li Y, Petric M, Jassem A, Krajden M, Gubbay JB. Children under 10 years of age were more affected by the 2018/19 influenza A(H1N1)pdm09 epidemic in Canada: possible cohort effect following the 2009 influenza pandemic. ACTA ACUST UNITED AC 2020; 24. [PMID: 30994107 PMCID: PMC6470369 DOI: 10.2807/1560-7917.es.2019.24.15.1900104] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
Introduction Findings from the community-based Canadian Sentinel Practitioner Surveillance Network (SPSN) suggest children were more affected by the 2018/19 influenza A(H1N1)pdm09 epidemic. Aim To compare the age distribution of A(H1N1)pdm09 cases in 2018/19 to prior seasonal influenza epidemics in Canada. Methods The age distribution of unvaccinated influenza A(H1N1)pdm09 cases and test-negative controls were compared across A(H1N1)pdm09-dominant epidemics in 2018/19, 2015/16 and 2013/14 and with the general population of SPSN provinces. Similar comparisons were undertaken for influenza A(H3N2)-dominant epidemics. Results In 2018/19, more influenza A(H1N1)pdm09 cases were under 10 years old than controls (29% vs 16%; p < 0.001). In particular, children aged 5–9 years comprised 14% of cases, greater than their contribution to controls (4%) or the general population (5%) and at least twice their contribution in 2015/16 (7%; p < 0.001) or 2013/14 (5%; p < 0.001). Conversely, children aged 10–19 years (11% of the population) were under-represented among A(H1N1)pdm09 cases versus controls in 2018/19 (7% vs 12%; p < 0.001), 2015/16 (7% vs 13%; p < 0.001) and 2013/14 (9% vs 12%; p = 0.12). Conclusion Children under 10 years old contributed more to outpatient A(H1N1)pdm09 medical visits in 2018/19 than prior seasonal epidemics in Canada. In 2018/19, all children under 10 years old were born after the 2009 A(H1N1)pdm09 pandemic and therefore lacked pandemic-induced immunity. In addition, more than half those born after 2009 now attend school (i.e. 5–9-year-olds), a socio-behavioural context that may enhance transmission and did not apply during prior A(H1N1)pdm09 epidemics.
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Affiliation(s)
- Danuta M Skowronski
- University of British Columbia, Vancouver, Canada.,British Columbia Centre for Disease Control, Vancouver, Canada
| | - Siobhan Leir
- British Columbia Centre for Disease Control, Vancouver, Canada
| | - Gaston De Serres
- Centre Hospitalier Universitaire de Québec, Quebec, Canada.,Laval University, Quebec, Canada.,Institut National de Santé Publique du Québec, Quebec, Canada
| | - Michelle Murti
- University of Toronto, Toronto, Canada.,Public Health Ontario, Toronto, Canada
| | | | | | | | - Matthew A Croxen
- University of Alberta, Edmonton, Canada.,Provincial Laboratory for Public Health, Edmonton, Canada
| | - Steven J Drews
- University of Alberta, Edmonton, Canada.,Provincial Laboratory for Public Health, Edmonton, Canada
| | - Hugues Charest
- Institut National de Santé Publique du Québec, Quebec, Canada
| | | | - Suzana Sabaiduc
- British Columbia Centre for Disease Control, Vancouver, Canada
| | - Nathalie Bastien
- National Microbiology Laboratory, Public Health Agency of Canada, Winnipeg, Canada
| | - Yan Li
- National Microbiology Laboratory, Public Health Agency of Canada, Winnipeg, Canada
| | | | - Agatha Jassem
- University of British Columbia, Vancouver, Canada.,British Columbia Centre for Disease Control, Vancouver, Canada
| | - Mel Krajden
- University of British Columbia, Vancouver, Canada.,British Columbia Centre for Disease Control, Vancouver, Canada
| | - Jonathan B Gubbay
- University of Toronto, Toronto, Canada.,Public Health Ontario, Toronto, Canada
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16
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Redlberger-Fritz M, Kundi M, Popow-Kraupp T. Heterogeneity of Circulating Influenza Viruses and Their Impact on Influenza Virus Vaccine Effectiveness During the Influenza Seasons 2016/17 to 2018/19 in Austria. Front Immunol 2020; 11:434. [PMID: 32256493 PMCID: PMC7092378 DOI: 10.3389/fimmu.2020.00434] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2019] [Accepted: 02/25/2020] [Indexed: 11/13/2022] Open
Abstract
The constantly changing pattern in the dominance of viral strains and their evolving subclades during the seasons substantially influences influenza vaccine effectiveness (IVE). In order to further substantiate the importance of detailed data of genetic virus characterization for IVE estimates during the seasons, we performed influenza virus type and subtype specific IVE estimates. IVE estimates were assessed using a test-negative case-control design, in the context of the intraseasonal changes of the heterogeneous mix of circulating influenza virus strains for three influenza seasons (2016/17 to 2018/19) in Austria. Adjusted overall IVE over the three seasons 2016/17, 2017/18, and 2018/19 were -26, 39, and 63%, respectively. In accordance with the changing pattern of the circulating strains a broad range of overall and subtype specific IVEs was obtained: A(H3N2) specific IVE ranged between -26% for season 2016/17 to 58% in season 2018/19, A(H1N1)pdm09 specific IVE was 25% for the season 2017/18 and 65% for the season 2018/19 and Influenza B specific IVE for season 2017/18 was 45%. The results obtained in our study over the three seasons demonstrate the increasingly complex dynamic of the ever changing genetic pattern of the circulating influenza viruses and their influence on IVE estimates. This emphasizes the importance of detailed genetic virus surveillance for reliable IVE estimates.
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Affiliation(s)
| | - Michael Kundi
- Department of Environmental Health, Medical University Vienna, Vienna, Austria
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17
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Castilla J, Portillo ME, Casado I, Pozo F, Navascués A, Adelantado M, Gómez Ibáñez C, Ezpeleta C, Martínez-Baz I. Effectiveness of the current and prior influenza vaccinations in Northern Spain, 2018–2019. Vaccine 2020; 38:1925-1932. [DOI: 10.1016/j.vaccine.2020.01.028] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2019] [Revised: 01/07/2020] [Accepted: 01/08/2020] [Indexed: 10/25/2022]
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18
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Isakova-Sivak I, Grigorieva E, Rudenko L. Insights into current clinical research on the immunogenicity of live attenuated influenza vaccines. Expert Rev Vaccines 2020; 19:43-55. [PMID: 31903816 DOI: 10.1080/14760584.2020.1711056] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
Abstract
Introduction: Live attenuated influenza vaccines (LAIVs) have been in use for more than three decades and are now licensed in many countries. There is evidence that LAIVs can have greater efficacy than inactivated influenza vaccines, especially against mismatched influenza, however, in recent years, a number of trials have found a lack of LAIV efficacy, mainly in relation to the H1N1 virus.Areas covered: In this review, we summarize the results of clinical research published in the past 5 years on the immunogenicity of LAIVs, with special attention to the mechanisms of establishing protective immunity and some factors that may influence immunogenicity and efficacy.Expert opinion: A number of recent clinical studies confirmed that the immune responses to LAIVs are multifaceted, involving different immune mechanisms. These trials suggest that the intrinsic replicative properties of each LAIV component should be taken into account, and the precise effects of adding a fourth vaccine strain to trivalent LAIV formulations are still to be identified. In addition, new data are emerging regarding the impact of pre-vaccination conditions, such as preexisting immunity or concurrent asymptomatic viral and bacterial respiratory infections, on LAIV immunogenicity, suggesting the importance of monitoring them during clinical trials or vaccination campaigns.
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Affiliation(s)
- Irina Isakova-Sivak
- Department of Virology, Institute of Experimental Medicine, St. Petersburg, Russia
| | - Elena Grigorieva
- Department of Virology, Institute of Experimental Medicine, St. Petersburg, Russia
| | - Larisa Rudenko
- Department of Virology, Institute of Experimental Medicine, St. Petersburg, Russia
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19
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Chua H, Feng S, Lewnard JA, Sullivan SG, Blyth CC, Lipsitch M, Cowling BJ. The Use of Test-negative Controls to Monitor Vaccine Effectiveness: A Systematic Review of Methodology. Epidemiology 2020; 31:43-64. [PMID: 31609860 PMCID: PMC6888869 DOI: 10.1097/ede.0000000000001116] [Citation(s) in RCA: 93] [Impact Index Per Article: 18.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
Abstract
BACKGROUND The test-negative design is an increasingly popular approach for estimating vaccine effectiveness (VE) due to its efficiency. This review aims to examine published test-negative design studies of VE and to explore similarities and differences in methodological choices for different diseases and vaccines. METHODS We conducted a systematic search on PubMed, Web of Science, and Medline, for studies reporting the effectiveness of any vaccines using a test-negative design. We screened titles and abstracts and reviewed full texts to identify relevant articles. We created a standardized form for each included article to extract information on the pathogen of interest, vaccine(s) being evaluated, study setting, clinical case definition, choices of cases and controls, and statistical approaches used to estimate VE. RESULTS We identified a total of 348 articles, including studies on VE against influenza virus (n = 253), rotavirus (n = 48), pneumococcus (n = 24), and nine other pathogens. Clinical case definitions used to enroll patients were similar by pathogens of interest but the sets of symptoms that defined them varied substantially. Controls could be those testing negative for the pathogen of interest, those testing positive for nonvaccine type of the pathogen of interest, or a subset of those testing positive for alternative pathogens. Most studies controlled for age, calendar time, and comorbidities. CONCLUSIONS Our review highlights similarities and differences in the application of the test-negative design that deserve further examination. If vaccination reduces disease severity in breakthrough infections, particular care must be taken in interpreting vaccine effectiveness estimates from test-negative design studies.
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Affiliation(s)
- Huiying Chua
- From the 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
| | - Shuo Feng
- From the 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
| | - Joseph A Lewnard
- Division of Epidemiology, School of Public Health, University of California, Berkeley, Berkeley, CA
| | - Sheena G Sullivan
- WHO Collaborating Centre for Reference and Research on Influenza, Royal Melbourne Hospital, and Doherty Department, University of Melbourne, at the Peter Doherty Institute for Infection and Immunity, Melbourne, Victoria, Australia
- Department of Epidemiology, Fielding School of Public Health, University of California, Los Angeles, Los Angeles, CA
- Centre for Epidemiology and Biostatistics, School of Population and Global Health, University of Melbourne, Melbourne, Victoria, Australia
| | - Christopher C Blyth
- Division of Paediatrics, School of Medicine, Faculty of Health and Medical Sciences, The University of Western Australia, Perth, Western Australia, Australia
- Wesfarmers Centre of Vaccines and Infectious Diseases, Telethon Kids Institute, Perth, Western Australia, Australia
- Department of Infectious Diseases, Perth Children's Hospital, Perth, Western Australia, Australia
| | - Marc Lipsitch
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA
- Center for Communicable Disease Dynamics, Harvard T. H. Chan School of Public Health, Boston, MA
| | - Benjamin J Cowling
- From the 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
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20
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Nearly Complete Genome Sequence of Human Influenza Virus Strain A/Almaty/6327/2014 (H1N1) from Central Asia. Microbiol Resour Announc 2019; 8:8/47/e00527-19. [PMID: 31753934 PMCID: PMC6872876 DOI: 10.1128/mra.00527-19] [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] [Indexed: 11/20/2022] Open
Abstract
An influenza virus strain, A/Almaty/6327/2014 (H1N1), was isolated in Almaty (in southeastern Kazakhstan) during a human population surveillance study in 2014. Here, we present the nearly complete genome sequence of this epidemic strain that was compared to the postpandemic variants of A(H1N1)pdm09. An influenza virus strain, A/Almaty/6327/2014 (H1N1), was isolated in Almaty (in southeastern Kazakhstan) during a human population surveillance study in 2014. Here, we present the nearly complete genome sequence of this epidemic strain that was compared to the postpandemic variants of A(H1N1)pdm09.
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21
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Saito N, Komori K, Suzuki M, Kishikawa T, Yasaka T, Ariyoshi K. Dose-Dependent Negative Effects of Prior Multiple Vaccinations Against Influenza A and Influenza B Among Schoolchildren: A Study of Kamigoto Island in Japan During the 2011-2012, 2012-2013, and 2013-2014 Influenza Seasons. Clin Infect Dis 2019. [PMID: 29528389 DOI: 10.1093/cid/ciy202] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023] Open
Abstract
Background We investigated the negative effects of prior multiple vaccinations on influenza vaccine effectiveness (VE) and analyzed the association of VE with prior vaccine doses. Methods Patients aged 9-18 years presenting with influenza-like illness at a community hospital on a remote Japanese island during the 2011-2012, 2012-2013, and 2013-2014 influenza seasons were tested for influenza using a rapid diagnostic test (RDT). A test-negative, case-control study design was used to estimate the VEs of trivalent inactivated influenza vaccine. Histories of vaccination and medically attended influenza (MA-flu) A and B during 3 previous seasons were collected from registry systems. VE was calculated using multilevel mixed-effects logistic regression models adjusted for the history of RDT-confirmed MA-flu. Results During 3 influenza seasons, 1668 influenza-like illness episodes were analyzed, including 421 and 358 episodes of MA-fluA and MA-fluB, respectively. The adjusted VE (95% confidence interval) yielded significant dose-dependent attenuations by prior vaccinations against both MA-fluA (0 doses during previous 3 seasons: 96% [69%-100%], 1 dose: 48% [-7% to 74%], 2 doses: 52% [11%-74%], 3 doses: 21% [-25% to 51%]; P for trend < .05) and MA-fluB (0 doses: 66% [-5% to 89%], 1 dose: 48% [-14% to 76%], 2 doses: 34% [-33% to 67%], 3 doses: -7% [-83% to 37%]; P for trend < .05). After excluding episodes of MA-flu during prior 3 seasons, similar trends were observed. Conclusions Repeated previous vaccinations over multiple seasons had significant dose-dependent negative impacts on VE against both MA-fluA and MA-fluB. Further studies to confirm this finding are necessary.
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Affiliation(s)
- Nobuo Saito
- Department of Clinical Medicine, Institute of Tropical Medicine, Nagasaki, Japan.,School of Tropical Medicine and Global Health, Nagasaki University, Nagasaki, Japan
| | | | - Motoi Suzuki
- Department of Clinical Medicine, Institute of Tropical Medicine, Nagasaki, Japan.,School of Tropical Medicine and Global Health, Nagasaki University, Nagasaki, Japan
| | | | | | - Koya Ariyoshi
- Department of Clinical Medicine, Institute of Tropical Medicine, Nagasaki, Japan.,School of Tropical Medicine and Global Health, Nagasaki University, Nagasaki, Japan
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22
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Costantino C, Vitale F. The relevance for Public Health of the mid-term and interim analyses of seasonal influenza vaccination effectiveness. Future Virol 2019. [DOI: 10.2217/fvl-2019-0143] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Affiliation(s)
- Claudio Costantino
- Department of Health Promotion Sciences, Maternal & Infant Care, Internal Medicine & Excellence Specialties (PROMISE) “G D’Alessandro” – University of Palermo, Palermo, Italy
| | - Francesco Vitale
- Department of Health Promotion Sciences, Maternal & Infant Care, Internal Medicine & Excellence Specialties (PROMISE) “G D’Alessandro” – University of Palermo, Palermo, Italy
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23
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Skowronski DM, Chambers C, Sabaiduc S, De Serres G, Winter AL, Dickinson JA, Gubbay JB, Drews SJ, Martineau C, Charest H, Krajden M, Bastien N, Li Y. Beyond Antigenic Match: Possible Agent-Host and Immuno-epidemiological Influences on Influenza Vaccine Effectiveness During the 2015-2016 Season in Canada. J Infect Dis 2019; 216:1487-1500. [PMID: 29029166 PMCID: PMC5853508 DOI: 10.1093/infdis/jix526] [Citation(s) in RCA: 83] [Impact Index Per Article: 13.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022] Open
Abstract
Background Vaccine effectiveness (VE) estimates for 2015-2016 seasonal influenza vaccine are reported from Canada's Sentinel Practitioner Surveillance Network (SPSN). This season was characterized by a delayed 2009 pandemic influenza A(H1N1) virus (A[H1N1]pdm09) epidemic and concurrent influenza B(Victoria) virus activity. Potential influences on VE beyond antigenic match are explored, including viral genomic variation, birth cohort effects, prior vaccination, and epidemic period. Methods VE was estimated by a test-negative design comparing the adjusted odds ratio for influenza test positivity among vaccinated compared to unvaccinated participants. Vaccine-virus relatedness was assessed by gene sequencing and hemagglutination inhibition assay. Results Analyses included 596 influenza A(H1N1)pdm09 and 305 B(Victoria) cases and 926 test-negative controls. A(H1N1)pdm09 viruses were considered antigenically related to vaccine (unchanged since 2009), despite phylogenetic clustering within emerging clade 6B.1. The adjusted VE against A(H1N1)pdm09 was 43% (95% confidence interval [CI], 25%-57%). Compared to other age groups, VE against A(H1N1)pdm09 was lower for adults born during 1957-1976 (25%; 95% CI, -16%-51%). The VE against A(H1N1)pdm09 was also lower for participants consecutively vaccinated during both the current and prior seasons (41%; 95% CI, 18%-57%) than for those vaccinated during the current season only (75%; 95% CI, 45%-88%), and the VE among participants presenting in March-April 2016 (19%; 95% CI, -15%-44%) was lower than that among those presenting during January-February 2016 (62%; 95% CI, 44%-74%). The adjusted VE for B(Victoria) viruses was 54% (95% CI, 32%-68%), despite lineage-level mismatch to B(Yamagata) vaccine. The further variation in VE as observed for A(H1N1)pdm09 was not observed for B(Victoria). Conclusions Influenza VE findings may require consideration of other agent-host and immuno-epidemiologic influences on vaccine performance beyond antigenic match, including viral genomic variation, repeat vaccination, birth (immunological) cohort effects, and potential within-season waning of vaccine protection.
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Affiliation(s)
- Danuta M Skowronski
- British Columbia Centre for Disease Control, Vancouver.,University of British Columbia, Vancouver
| | | | | | - Gaston De Serres
- Institut National de Santé Publique du Québec.,Laval University, Québec.,Centre Hospitalier Universitaire de Québec, Québec
| | | | | | | | - Steven J Drews
- Alberta Provincial Laboratory, Edmonton.,University of Alberta, Edmonton
| | | | | | - Mel Krajden
- British Columbia Centre for Disease Control, Vancouver.,University of British Columbia, Vancouver
| | - Nathalie Bastien
- National Microbiology Laboratory, Public Health Agency of Canada, Winnipeg, Canada
| | - Yan Li
- National Microbiology Laboratory, Public Health Agency of Canada, Winnipeg, Canada
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24
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Ramsay LC, Buchan SA, Stirling RG, Cowling BJ, Feng S, Kwong JC, Warshawsky BF. The impact of repeated vaccination on influenza vaccine effectiveness: a systematic review and meta-analysis. BMC Med 2019; 17:9. [PMID: 30626399 PMCID: PMC6327561 DOI: 10.1186/s12916-018-1239-8] [Citation(s) in RCA: 75] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/21/2018] [Accepted: 12/12/2018] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND Conflicting results regarding the impact of repeated vaccination on influenza vaccine effectiveness (VE) may cause confusion regarding the benefits of receiving the current season's vaccine. METHODS We systematically searched MEDLINE, Embase, PubMed, and Cumulative Index to Nursing and Allied Health Literature from database inception to August 17, 2016, for observational studies published in English that reported VE against laboratory-confirmed influenza for the following four vaccination groups: current season only, prior season only, both seasons, and neither season. We pooled differences in VE (∆VE) between vaccination groups by influenza season and type/subtype using a random-effects model. The study protocol is registered with PROSPERO (registration number: CRD42016037241). RESULTS We identified 3435 unique articles, reviewed the full text of 634, and included 20 for meta-analysis. Compared to prior season vaccination only, vaccination in both seasons was associated with greater protection against influenza H1N1 (∆VE = 25%; 95% CI 14%, 35%) and B (∆VE = 18%; 95% CI 3%, 33%), but not H3N2 (∆VE = 7%; 95% CI - 7%, 21%). Compared to no vaccination for either season, individuals who received the current season's vaccine had greater protection against H1N1 (∆VE = 62%; 95% CI 51%, 70%), H3N2 (∆VE = 45%; 95% CI 35%, 53%), and B (∆VE = 64%; 95% CI 57%, 71%). We observed no differences in VE between vaccination in both seasons and the current season only for H1N1 (∆VE = 3%; 95% CI - 8%, 13%), but less protection against influenza H3N2 (∆VE = - 20%; 95% CI - 36%, - 4%), and B (∆VE = - 11%; 95% CI - 20%, - 2%). CONCLUSIONS Our results support current season vaccination regardless of prior season vaccination because VE for vaccination in the current season only is higher compared to no vaccination in either season for all types/subtypes, and for H1N1 and influenza B, vaccination in both seasons provides better VE than vaccination in the prior season only. Although VE was lower against H3N2 and B for individuals vaccinated in both seasons compared to those vaccinated in the current season only, it should be noted that past vaccination history cannot be altered and this comparison disregards susceptibility to influenza during the prior season among those vaccinated in the current season only. In addition, our results for H3N2 were particularly influenced by the 2014-2015 influenza season and the impact of repeated vaccination for all types/subtypes may vary from season to season. It is important that future VE studies include vaccination history over multiple seasons to evaluate repeated vaccination in more detail.
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Affiliation(s)
- Lauren C. Ramsay
- Public Health Ontario, 480 University Avenue Suite 300, Toronto, Ontario M5G 1V2 Canada
- Dalla Lana School of Public Health, University of Toronto, 155 College St, Toronto, Ontario M5T 3M7 Canada
| | - Sarah A. Buchan
- Public Health Ontario, 480 University Avenue Suite 300, Toronto, Ontario M5G 1V2 Canada
- Dalla Lana School of Public Health, University of Toronto, 155 College St, Toronto, Ontario M5T 3M7 Canada
| | - Robert G. Stirling
- Dalla Lana School of Public Health, University of Toronto, 155 College St, Toronto, Ontario M5T 3M7 Canada
- Public Health Agency of Canada, 130 Colonnade Road, Ottawa, Ontario K1A 0K9 Canada
| | - 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, Pokfulam, Hong Kong, China
| | - Shuo Feng
- WHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong, China
| | - Jeffrey C. Kwong
- Public Health Ontario, 480 University Avenue Suite 300, Toronto, Ontario M5G 1V2 Canada
- Dalla Lana School of Public Health, University of Toronto, 155 College St, Toronto, Ontario M5T 3M7 Canada
- Institute for Clinical Evaluative Sciences, Veterans Hill Trail, 2075 Bayview Avenue G1 06, Toronto, Ontario M4N 3M5 Canada
- Department of Family & Community Medicine, University of Toronto, 155 College St, Toronto, Ontario M5T 3M7 Canada
- University Health Network, 399 Bathurst St, Toronto, Ontario M5T 2S8 Canada
| | - Bryna F. Warshawsky
- Public Health Ontario, 480 University Avenue Suite 300, Toronto, Ontario M5G 1V2 Canada
- Department of Epidemiology and Biostatistics, Western University, 1151 Richmond St, London, Ontario N6A 3K7 Canada
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25
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Effectiveness of influenza and pneumococcal polysaccharide vaccines against influenza-related outcomes including pneumonia and acute exacerbation of cardiopulmonary diseases: Analysis by dominant viral subtype and vaccine matching. PLoS One 2018; 13:e0207918. [PMID: 30521553 PMCID: PMC6283593 DOI: 10.1371/journal.pone.0207918] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2018] [Accepted: 11/08/2018] [Indexed: 12/29/2022] Open
Abstract
Background Influenza and pneumonia are leading causes of morbidity and mortality among the elderly. Although vaccination is a main strategy to prevent these infectious diseases, concerns remain with respect to vaccine effectiveness. Methods During three influenza seasons (2014–2015, 2015–2016 and 2016–2017), we evaluated the effectiveness of the influenza and pneumococcal vaccines against pneumonia and acute exacerbation of cardiopulmonary diseases among the elderly aged ≥65 years with influenza-like illness (ILI). Demographic and clinical data were collected prospectively. Results Among 2,119 enrolled cases, 1,302 (61.4%) and 871 (41.1%) received the influenza vaccine and 23-valent pneumococcal polysaccharide vaccine (PPV23), respectively. During an A/H3N2-dominant season with poor influenza vaccine effectiveness (2014–2015 season), neither the influenza vaccine nor PPV23 showed significant effectiveness against pneumonia or acute exacerbation of cardiopulmonary diseases. During seasons with good influenza vaccine effectiveness (2015–2016 and 2016–2017 seasons), the influenza vaccine was effective in preventing pneumonia, but PPV23 was not. In particular, the influenza vaccine was effective in preventing acute exacerbation of heart diseases (75.0%) during the A/H1N1-dominant 2015–2016 season. Conclusion The influenza vaccine was effective in preventing pneumonia only during vaccine-matched seasons with good effectiveness against circulating influenza viruses. In addition, the influenza vaccine was cardio-protective during a vaccine-matched A/H1N1-dominant season.
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26
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McLean HQ, Caspard H, Griffin MR, Gaglani M, Peters TR, Poehling KA, Ambrose CS, Belongia EA. Association of Prior Vaccination With Influenza Vaccine Effectiveness in Children Receiving Live Attenuated or Inactivated Vaccine. JAMA Netw Open 2018; 1:e183742. [PMID: 30646262 PMCID: PMC6324442 DOI: 10.1001/jamanetworkopen.2018.3742] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/19/2022] Open
Abstract
IMPORTANCE Some studies have reported negative effects of prior-season influenza vaccination. Prior-season influenza vaccination effects on vaccine effectiveness (VE) in children are not well understood. OBJECTIVE To assess the association of prior-season influenza vaccination with subsequent VE in children aged 2 to 17 years. DESIGN, SETTING, AND PARTICIPANTS This multiseason, test-negative case-control study was conducted in outpatient clinics at 4 US sites among children aged 2 to 17 years with a medically attended febrile acute respiratory illness. Participants were recruited during the 2013-2014, 2014-2015, and 2015-2016 seasons when influenza circulated locally. Cases were children with influenza confirmed by reverse-transcription polymerase chain reaction. Test-negative control individuals were children with negative test results for influenza. EXPOSURES Vaccination history, including influenza vaccine type received in the enrollment season (live attenuated influenza vaccine [LAIV], inactivated influenza vaccine [IIV], or no vaccine) and season before enrollment (LAIV, IIV, or no vaccine), determined from medical records and immunization registries. MAIN OUTCOMES AND MEASURES LAIV and IIV effectiveness by influenza type and subtype (influenza A[H1N1]pdm09, influenza A[H3N2], or influenza B), estimated as 100 × (1 - odds ratio) in a logistic regression model with adjustment for potential confounders. Prior season vaccination associations were assessed with an interaction term. RESULTS Of 3369 children (1749 [52%] male; median age, 6.6 years [range, 2-17 years]) included in the analysis, 772 (23%) had a positive test result for influenza and 1674 (50%) were vaccinated in the enrollment season. Among LAIV recipients, VE against influenza A(H3N2) was higher among children vaccinated in both the enrollment and 1 prior season (50.3% [95% CI, 17.0% to 70.2%]) than among those without 1 prior season vaccination (-82.4% [95% CI, -267.5% to 9.5%], interaction P < .001). The effectiveness of LAIV against influenza A(H1N1)pdm09 was not associated with prior season vaccination among those with prior season vaccination (47.5% [95% CI, 11.4% to 68.9%]) and among those without prior season vaccination (7.8% [95% CI, -101.9% to 57.9%]) (interaction P = .37). Prior season vaccination was not associated with effectiveness of IIV against influenza A(H3N2) (38.7% [95% CI, 6.8% to 59.6%] among those with prior-season vaccination and 23.2% [95% CI, -38.3% to 57.4%] among those without prior-season vaccination, interaction P = .16) or with effectiveness of IIV against influenza A[H1N1]pdm09 (72.4% [95% CI, 56.0% to 82.7%] among those with prior season vaccination and 67.5% [95% CI, 32.1% to 84.4%] among those without prior season vaccination, interaction P = .93). Residual protection from prior season vaccination only (no vaccination in the enrollment season) was observed for influenza B (LAIV: 60.0% [95% CI, 36.8% to 74.7%]; IIV: 60.0% [36.9% to 74.6%]). Similar results were observed in analyses that included repeated vaccination in 2 and 3 prior seasons. CONCLUSIONS AND RELEVANCE Influenza VE varied by influenza type and subtype and vaccine type, but prior-season vaccination was not associated with reduced VE. These findings support current recommendations for annual influenza vaccination of children.
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Affiliation(s)
| | | | | | - Manjusha Gaglani
- Baylor Scott and White Health, Texas A&M University Health Science Center College of Medicine, Temple
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27
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Chambers C, Skowronski DM, Rose C, Serres GD, Winter AL, Dickinson JA, Jassem A, Gubbay JB, Fonseca K, Drews SJ, Charest H, Martineau C, Petric M, Krajden M. Should Sex Be Considered an Effect Modifier in the Evaluation of Influenza Vaccine Effectiveness? Open Forum Infect Dis 2018; 5:ofy211. [PMID: 30263903 PMCID: PMC6143149 DOI: 10.1093/ofid/ofy211] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2018] [Accepted: 09/03/2018] [Indexed: 01/04/2023] Open
Abstract
We investigated sex as a potential modifier of influenza vaccine effectiveness (VE) between 2010–2011 and 2016–2017 in Canada. Overall VE was 49% (95% confidence interval [CI], 43% to 55%) for females and 38% (95% CI, 28% to 46%) for males (absolute difference [AD], 11%; P = .03). Sex differences were greatest for influenza A(H3N2) (AD, 17%; P = .07) and B(Victoria) (AD, 20%; P = .08) compared with A(H1N1)pdm09 (AD, 10%; P = .19) or B(Yamagata) (AD, –3%; P = .68). They were also more pronounced in older adults ≥50 years (AD, 19%; P = .03) compared with those <20 years (AD, 4%; P = .74) or 20–49 years (AD, –1%; P = .90) but with variation by subtype/lineage. More definitive investigations of VE by sex and age are warranted to elucidate these potential interactions.
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Affiliation(s)
- Catharine Chambers
- Communicable Diseases and Immunization Service, British Columbia Centre for Disease Control, Vancouver, Canada
| | - Danuta M Skowronski
- Communicable Diseases and Immunization Service, British Columbia Centre for Disease Control, Vancouver, Canada.,School of Population and Public Health, University of British Columbia, Vancouver, Canada
| | - Caren Rose
- Communicable Diseases and Immunization Service, British Columbia Centre for Disease Control, Vancouver, Canada.,School of Population and Public Health, University of British Columbia, Vancouver, Canada
| | - Gaston De Serres
- Direction of Biological and Occupational Risks, Institut National de Santé Publique du Québec, Québec, Canada.,Department of Social and Preventive Medicine, Laval University, Quebec, Canada.,Infection and Immunity, Centre Hospitalier Universitaire de Québec, Québec, Canada
| | - Anne-Luise Winter
- Communicable Diseases, Emergency Preparedness and Response, Public Health Ontario, Toronto, Canada
| | - James A Dickinson
- Department of Family Medicine, University of Calgary, Calgary, Canada.,Department of Community Health Sciences, University of Calgary, Calgary, Canada
| | - Agatha Jassem
- British Columbia Centre for Disease Control Public Health Laboratory, Vancouver, Canada
| | - Jonathan B Gubbay
- Public Health Ontario Laboratory, Public Health Ontario, Toronto, Canada.,Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Canada.,Department of Paediatrics, University of Toronto, Toronto, Canada
| | - Kevin Fonseca
- Diagnostic Virology Alberta Provincial Laboratory, Calgary, Canada.,Diagnostic Virology University of Calgary, Calgary, Canada
| | - Steven J Drews
- Diagnostic Virology Alberta Provincial Laboratory, Edmonton, Canada.,Department of Laboratory Medicine and Pathology University of Alberta, Edmonton, Canada
| | - Hugues Charest
- Laboratoire de santé publique du Québec, Institut national de santé publique du Québec, Québec, Canada
| | | | - Martin Petric
- British Columbia Centre for Disease Control Public Health Laboratory, Vancouver, Canada
| | - Mel Krajden
- Department of Community Health Sciences, University of Calgary, Calgary, Canada.,British Columbia Centre for Disease Control Public Health Laboratory, Vancouver, Canada
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28
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Buchan SA, Booth S, Scott AN, Simmonds KA, Svenson LW, Drews SJ, Russell ML, Crowcroft NS, Loeb M, Warshawsky BF, Kwong JC. Effectiveness of Live Attenuated vs Inactivated Influenza Vaccines in Children During the 2012-2013 Through 2015-2016 Influenza Seasons in Alberta, Canada: A Canadian Immunization Research Network (CIRN) Study. JAMA Pediatr 2018; 172:e181514. [PMID: 29971427 PMCID: PMC6143060 DOI: 10.1001/jamapediatrics.2018.1514] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
IMPORTANCE Recent observational studies report conflicting results regarding the effectiveness of live attenuated influenza vaccine (LAIV), particularly against influenza A(H1N1)pdm09. OBJECTIVE To compare the effectiveness of LAIV and inactivated influenza vaccine (IIV) against laboratory-confirmed influenza. DESIGN, SETTING, AND PARTICIPANTS A test-negative study to estimate influenza vaccine effectiveness (VE) using population-based, linked, individual-level laboratory, health administrative, and immunization data. Data were obtained from 10 169 children and adolescents aged 2 to 17 years (children) who were tested for influenza in inpatient or outpatient settings during periods when influenza was circulating based on a threshold level of 5% weekly test positivity for the province during the 4 influenza seasons spanning from November 11, 2012, to April 30, 2016, in Alberta, Canada. Logistic regression was used to estimate VE by vaccine type, influenza season, and influenza type and subtype. The relative effectiveness of each vaccine type was assessed by comparing the odds of laboratory-confirmed influenza infection for LAIV recipients with that for IIV recipients. EXPOSURES The primary exposure was receipt of LAIV or IIV before testing for influenza. MAIN OUTCOMES AND MEASURES The primary outcome was influenza case status as determined by reverse-transcriptase polymerase chain reaction testing. RESULTS A total of 10 779 respiratory specimens (from 10 169 children) collected and tested for influenza during the 4 influenza seasons were included, with 53.4% from males; the mean (SD) age was 7.0 (4.6) years. Across the 4 influenza seasons, 3161 children tested positive for influenza. Combining the 4 influenza seasons, the adjusted VE against influenza A(H1N1)pdm09 was 69% (95% CI, 56%-78%) for LAIV compared with 79% (95% CI, 70%-86%) for IIV. Vaccine effectiveness against influenza A(H3N2) was 36% (95% CI, 14%-53%) for LAIV and 43% (95% CI, 22%-59%) for IIV. Against influenza B, VE was 74% (95% CI, 62%-82%) for LAIV and 56% (95% CI, 41%-66%) for IIV. There were no significant differences in the odds of influenza infection for LAIV recipients compared with IIV recipients except for influenza B during the 2015-2016 season, when LAIV recipients had lower odds of infection than IIV recipients (odds ratio, 0.36; 95% CI, 0.17-0.76). CONCLUSIONS AND RELEVANCE There was no evidence to support the lack of effectiveness of LAIV against influenza A(H1N1)pdm09. These results support administration of either vaccine type in this age group.
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Affiliation(s)
- Sarah A. Buchan
- Division of Epidemiology, Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada,Primary Care & Population Health Research Program, Institute for Clinical Evaluative Sciences, Toronto, Ontario, Canada
| | - Stephanie Booth
- Analytics and Performance Reporting Branch, Alberta Ministry of Health, Edmonton, Alberta, Canada,Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Allison N. Scott
- Analytics and Performance Reporting Branch, Alberta Ministry of Health, Edmonton, Alberta, Canada
| | - Kimberley A. Simmonds
- Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada,Research and Innovation Branch, Alberta Ministry of Health, Edmonton, Alberta, Canada
| | - Lawrence W. Svenson
- Analytics and Performance Reporting Branch, Alberta Ministry of Health, Edmonton, Alberta, Canada,Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada,Division of Preventive Medicine, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, Alberta, Canada
| | - Steven J. Drews
- Diagnostic Virology, Provincial Laboratory (ProvLab) for Public Health, Edmonton, Alberta, Canada,Department of Laboratory Medicine and Pathology, University of Alberta, Edmonton, Alberta, Canada
| | - Margaret L. Russell
- Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Natasha S. Crowcroft
- Division of Epidemiology, Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada,Applied Immunization Research and Evaluation, Public Health Ontario, Toronto, Ontario, Canada,Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Ontario, Canada
| | - Mark Loeb
- Department of Pathology and Molecular Medicine, McMaster University, Hamilton, Ontario, Canada
| | - Bryna F. Warshawsky
- Communicable Diseases, Emergency Preparedness and Response, Public Health Ontario, Toronto, Ontario, Canada,Department of Epidemiology and Biostatistics, Western University, London, Ontario, Canada
| | - Jeffrey C. Kwong
- Division of Epidemiology, Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada,Primary Care & Population Health Research Program, Institute for Clinical Evaluative Sciences, Toronto, Ontario, Canada,Applied Immunization Research and Evaluation, Public Health Ontario, Toronto, Ontario, Canada,Department of Family and Community Medicine, University of Toronto, Toronto, Ontario, Canada,Toronto Western Family Health Team, University Health Network, Toronto, Ontario, Canada
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29
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Zhang L, Pan Y, Ma C, Duan W, Sun Y, Wu S, Zhang M, Tian Y, Zheng Y, Yang P, Wang Q. Moderate influenza vaccine effectiveness against influenza A(H1N1)pdm09 virus and low effectiveness against A(H3N2) virus among older adults during 2013-2014 influenza season in Beijing, China. Hum Vaccin Immunother 2018; 14:1323-1330. [PMID: 29461909 PMCID: PMC6037442 DOI: 10.1080/21645515.2018.1441655] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2017] [Revised: 01/29/2018] [Accepted: 02/11/2018] [Indexed: 10/18/2022] Open
Abstract
BACKGROUND Since 2007, trivalent inactivated influenza vaccine has been provided free-of-charge to older adults aged ≥60 years in Beijing, China, but the data regarding influenza vaccine effectiveness (VE) among these people are very limited so far. We sought to estimate influenza VE against medically-attended laboratory-confirmed influenza illness among older adults during the 2013-2014 season. METHODS The influenza-like illness (ILI) patients aged 60 years and older who participated in the influenza virological surveillance of Beijing during 2013-2014 influenza season were recruited in this study. A test-negative design was employed to estimate influenza VE among older adults by using logistic regression models. VE was estimated using logistic regression, adjusted for sex, age, interval (days) between illness onset and specimen collection, and week of illness onset. RESULTS Between 1 November, 2013 and 30 April, 2014, a total of 487 elderly ILI patients were enrolled in the study, including 133 influenza-positive cases (of whom 6.8% were vaccinated) and 354 influenza-negative controls (of whom 10.2% were vaccinated). Among 133 influenza-positive cases, 51 tested positive for A(H1N1)pdm09 virus, 22 positive for A(H3N2) virus, 52 tested positive for B/Yamagata-lineage virus, 2 positive for B/Victoria-lineage virus, 1 positive for both A(H1N1)pdm09 and A(H3N2) viruses, and 5 tested positive for viruses of unknown subtype or lineage. The adjusted overall VE was estimated as 32% (95% CI:-48-69), with 59% (95% CI: -79-90) against A(H1N1)pdm09, 22% (95% CI: -253-83) against A(H3N2) and -20% (95% CI: -239-58) against B/Yamagata-lineage viruses. CONCLUSIONS These results suggested a modest protective effect of the 2013-2014 influenza vaccine among older adults in Beijing which was not statistically significant, with higher VE against the A(H1N1)pdm09 viruses compared to A(H3N2) and B viruses.
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Affiliation(s)
- Li Zhang
- Institute for Infectious Disease and Endemic Disease Control, Beijing Center for Disease Prevention and Control, Beijing, China
- Beijing Research Center for Preventive Medicine, Beijing, China
| | - Yang Pan
- Institute for Infectious Disease and Endemic Disease Control, Beijing Center for Disease Prevention and Control, Beijing, China
- Beijing Research Center for Preventive Medicine, Beijing, China
| | - Chunna Ma
- Institute for Infectious Disease and Endemic Disease Control, Beijing Center for Disease Prevention and Control, Beijing, China
- Beijing Research Center for Preventive Medicine, Beijing, China
| | - Wei Duan
- Institute for Infectious Disease and Endemic Disease Control, Beijing Center for Disease Prevention and Control, Beijing, China
| | - Ying Sun
- Institute for Infectious Disease and Endemic Disease Control, Beijing Center for Disease Prevention and Control, Beijing, China
| | - Shuangsheng Wu
- Institute for Infectious Disease and Endemic Disease Control, Beijing Center for Disease Prevention and Control, Beijing, China
- Beijing Research Center for Preventive Medicine, Beijing, China
| | - Man Zhang
- Institute for Infectious Disease and Endemic Disease Control, Beijing Center for Disease Prevention and Control, Beijing, China
- Beijing Research Center for Preventive Medicine, Beijing, China
| | - Yi Tian
- Institute for Infectious Disease and Endemic Disease Control, Beijing Center for Disease Prevention and Control, Beijing, China
| | - Yang Zheng
- Institute for Infectious Disease and Endemic Disease Control, Beijing Center for Disease Prevention and Control, Beijing, China
| | - Peng Yang
- Institute for Infectious Disease and Endemic Disease Control, Beijing Center for Disease Prevention and Control, Beijing, China
- Beijing Research Center for Preventive Medicine, Beijing, China
- School of Public Health, Capital Medical University, Beijing, China
| | - Quanyi Wang
- Institute for Infectious Disease and Endemic Disease Control, Beijing Center for Disease Prevention and Control, Beijing, China
- Beijing Research Center for Preventive Medicine, Beijing, China
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30
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Lewnard JA, Cobey S. Immune History and Influenza Vaccine Effectiveness. Vaccines (Basel) 2018; 6:E28. [PMID: 29883414 PMCID: PMC6027411 DOI: 10.3390/vaccines6020028] [Citation(s) in RCA: 140] [Impact Index Per Article: 20.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2018] [Revised: 05/14/2018] [Accepted: 05/16/2018] [Indexed: 12/12/2022] Open
Abstract
The imperfect effectiveness of seasonal influenza vaccines is often blamed on antigenic mismatch, but even when the match appears good, effectiveness can be surprisingly low. Seasonal influenza vaccines also stand out for their variable effectiveness by age group from year to year and by recent vaccination status. These patterns suggest a role for immune history in influenza vaccine effectiveness, but inference is complicated by uncertainty about the contributions of bias to the estimates themselves. In this review, we describe unexpected patterns in the effectiveness of seasonal influenza vaccination and explain how these patterns might arise as consequences of study design, the dynamics of immune memory, or both. Resolving this uncertainty could lead to improvements in vaccination strategy, including the use of universal vaccines in experienced populations, and the evaluation of vaccine efficacy against influenza and other antigenically variable pathogens.
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Affiliation(s)
- Joseph A Lewnard
- Center for Communicable Disease Dynamics, Department of Epidemiology, Harvard TH Chan School of Public Health, Boston, MA 02115, USA.
| | - Sarah Cobey
- Department of Ecology and Evolution, University of Chicago, Chicago, IL 60637, USA.
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31
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Cortes-Alcala R, Dos Santos G, DeAntonio R, Devadiga R, Ruiz-Matus C, Jimenez-Corona ME, Diaz-Quinonez JA, Romano-Mazzotti L, Cervantes-Apolinar MY, Kuri-Morales P. The burden of influenza A and B in Mexico from the year 2010 to 2013: An observational, retrospective, database study, on records from the Directorate General of Epidemiology database. Hum Vaccin Immunother 2018; 14:1890-1898. [PMID: 29746798 PMCID: PMC6149840 DOI: 10.1080/21645515.2018.1456281] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2017] [Accepted: 03/09/2018] [Indexed: 11/01/2022] Open
Abstract
Despite vaccination programs, influenza still represents a significant disease burden in Mexico. We conducted an observational, retrospective analysis to better understand the epidemiological situation of the influenza virus in Mexico. Analysis of the seasonal patterns of influenza A and B were based on the Directorate General of Epidemiology dataset of influenza-like illness(ILI), and severe acute respiratory infection(SARI) that were recorded between January 2010 and December 2013. Our objectives were 1) to describe influenza A and B activity, by age group, and subtype and, 2) to analyze the number of laboratory-confirmed cases presenting with ILI by influenza type, the regional distribution of influenza, and its clinical features. Three periods of influenza activity were captured: August 2010-January 2011, December 2011-March 2012, and October 2012-March 2013. Cases were reported throughout Mexico, with 50.3% (n = 10,320) of cases found in 18-49 year olds. Over the entire capture period, a total of 76,085 ILI/SARI episodes had swab samples analyzed for influenza, 27% were positive. During the same period, influenza A cases were higher in the 18-49 years old, and influenza B cases in both 5-17 and 18-49 age groups. Peak activity occurred in January 2012 (n = 4,159) and December 2012 (n = 348) for influenza A and B respectively. This analysis confirms that influenza is an important respiratory pathogen for children and adults in Mexico despite vaccination recommendations. School-age children and adolescents were more prone to influenza B infection; while younger adults were susceptible to both influenza A and B viruses. Over the seasons, influenza A and B co-circulated.
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Affiliation(s)
| | | | - Rodrigo DeAntonio
- GSK, Urbanización Industrial Juan Díaz Entre Calles A y B, Apartado Postal 6-1697, Panama City, Panama
| | - Raghavendra Devadiga
- GSK, 5, Embassy Links, SRT Road, Opp to Accenture, Cunningham Road, Vasanth Nagar, Bengaluru, Karnataka, India
| | - Cuitlahuac Ruiz-Matus
- Director General of Epidemiology, Ministry of Health, Francisco de P. Miranda 177 Lomas de Plateros, Ciudad de México, México
| | - Maria E. Jimenez-Corona
- Deputy Director General of Epidemiology, Ministry of Health, Francisco de P. Miranda 177 Lomas de Plateros, Ciudad de México, México
| | - Jose A. Diaz-Quinonez
- Deputy Director General of the Institute for Epidemic Diagnose and Reference, Ministry of Health, Francisco de P. Miranda 177 Lomas de Plateros, Ciudad de México, México
- Faculty of Medicine, National Autonomous University of Mexico, Division of Graduate Studies, Avenida Universidad 3000, Copilco El Bajo, Coyoacan, CDMX, Ciudad de México, México
| | | | | | - Pablo Kuri-Morales
- Faculty of Medicine, National Autonomous University of Mexico, Division of Graduate Studies, Avenida Universidad 3000, Copilco El Bajo, Coyoacan, CDMX, Ciudad de México, México
- Assistant Secretary for Health Promotion and Disease Prevention, Lieja No. 7, Col. Juarez, Ciudad de México, México
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32
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Kissling E, Valenciano M, Pozo F, Vilcu AM, Reuss A, Rizzo C, Larrauri A, Horváth JK, Brytting M, Domegan L, Korczyńska M, Meijer A, Machado A, Ivanciuc A, Višekruna Vučina V, van der Werf S, Schweiger B, Bella A, Gherasim A, Ferenczi A, Zakikhany K, O Donnell J, Paradowska-Stankiewicz I, Dijkstra F, Guiomar R, Lazar M, Kurečić Filipović S, Johansen K, Moren A. 2015/16 I-MOVE/I-MOVE+ multicentre case-control study in Europe: Moderate vaccine effectiveness estimates against influenza A(H1N1)pdm09 and low estimates against lineage-mismatched influenza B among children. Influenza Other Respir Viruses 2018; 12:423-437. [PMID: 29125681 PMCID: PMC6005601 DOI: 10.1111/irv.12520] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/16/2017] [Indexed: 12/31/2022] Open
Abstract
Background During the 2015/16 influenza season in Europe, the cocirculating influenza viruses were A(H1N1)pdm09 and B/Victoria, which was antigenically distinct from the B/Yamagata component in the trivalent influenza vaccine. Methods We used the test‐negative design in a multicentre case‐control study in twelve European countries to measure 2015/16 influenza vaccine effectiveness (VE) against medically attended influenza‐like illness (ILI) laboratory‐confirmed as influenza. General practitioners swabbed a systematic sample of consulting ILI patients and a random sample of influenza‐positive swabs was sequenced. We calculated adjusted VE against influenza A(H1N1)pdm09, A(H1N1)pdm09 genetic group 6B.1 and influenza B overall and by age group. Results We included 11 430 ILI patients, of which 2272 were influenza A(H1N1)pdm09 and 2901 were influenza B cases. Overall VE against influenza A(H1N1)pdm09 was 32.9% (95% CI: 15.5‐46.7). Among those aged 0‐14, 15‐64 and ≥65 years, VE against A(H1N1)pdm09 was 31.9% (95% CI: −32.3 to 65.0), 41.4% (95% CI: 20.5‐56.7) and 13.2% (95% CI: −38.0 to 45.3), respectively. Overall VE against influenza A(H1N1)pdm09 genetic group 6B.1 was 32.8% (95% CI: −4.1 to 56.7). Among those aged 0‐14, 15‐64 and ≥65 years, VE against influenza B was −47.6% (95% CI: −124.9 to 3.1), 27.3% (95% CI: −4.6 to 49.4) and 9.3% (95% CI: −44.1 to 42.9), respectively. Conclusions Vaccine effectiveness (VE) against influenza A(H1N1)pdm09 and its genetic group 6B.1 was moderate in children and adults, and low among individuals ≥65 years. Vaccine effectiveness (VE) against influenza B was low and heterogeneous among age groups. More information on effects of previous vaccination and previous infection is needed to understand the VE results against influenza B in the context of a mismatched vaccine.
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Affiliation(s)
| | | | - Francisco Pozo
- National Centre for Microbiology, Instituto de Salud Carlos III, Madrid, Spain
| | - Ana-Maria Vilcu
- Sorbonne Universités, UPMC Univ Paris 06, INSERM, Institut Pierre Louis d'épidémiologie et de Santé Publique (IPLESP UMRS 1136), Paris, France
| | - Annicka Reuss
- Department for Infectious Disease Epidemiology, Robert Koch Institute, Berlin, Germany
| | - Caterina Rizzo
- Department of Infectious Disease, Istituto Superiore di Sanità, Rome, Italy
| | - Amparo Larrauri
- National Centre for Epidemiology, Instituto de Salud Carlos III, Madrid, Spain.,Ciber Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | | | - Mia Brytting
- The Public Health Agency of Sweden, Stockholm, Sweden
| | - Lisa Domegan
- Health Service Executive - Health Protection Surveillance Centre, Dublin, Ireland
| | - Monika Korczyńska
- National Institute of Public Health-National Institute of Hygiene, Warsaw, Poland
| | - Adam Meijer
- Centre for Infectious Disease Control, National Institute for Public Health and the Environment, Bilthoven, The Netherlands
| | - Ausenda Machado
- Instituto Nacional de Saúde, Dr Ricardo Jorge, Lisbon, Portugal
| | - Alina Ivanciuc
- Development for Microbiology and Immunology, Cantacuzino Institute, National Institute of Research, Bucharest, Romania
| | | | | | - Brunhilde Schweiger
- National Reference Centre for Influenza, Robert Koch Institute, Berlin, Germany
| | - Antonino Bella
- Department of Infectious Disease, Istituto Superiore di Sanità, Rome, Italy
| | - Alin Gherasim
- National Centre for Epidemiology, Instituto de Salud Carlos III, Madrid, Spain
| | | | | | - Joan O Donnell
- Health Service Executive - Health Protection Surveillance Centre, Dublin, Ireland
| | | | - Frederika Dijkstra
- Centre for Infectious Disease Control, National Institute for Public Health and the Environment, Bilthoven, The Netherlands
| | - Raquel Guiomar
- Instituto Nacional de Saúde, Dr Ricardo Jorge, Lisbon, Portugal
| | - Mihaela Lazar
- Development for Microbiology and Immunology, Cantacuzino Institute, National Institute of Research, Bucharest, Romania
| | | | - Kari Johansen
- European Centre for Disease Prevention and Control (ECDC), Stockholm, Sweden
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33
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Gill MA, Schlaudecker EP. Perspectives from the Society for Pediatric Research: Decreased Effectiveness of the Live Attenuated Influenza Vaccine. Pediatr Res 2018; 83:31-40. [PMID: 28945700 DOI: 10.1038/pr.2017.239] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/20/2017] [Accepted: 09/15/2017] [Indexed: 11/09/2022]
Abstract
The intranasal live attenuated influenza vaccine (LAIV), FluMist, has been widely appreciated by pediatricians, parents, and children alike for its ease of administration. However, concerns regarding lack of effectiveness in recent influenza seasons led to the CDC Advisory Committee on Immunization Practices (ACIP) recommendation to administer inactivated influenza vaccines (IIVs), and not LAIV, during the 2016-17 and 2017-18 seasons. Given that data from previous years demonstrated equivalent and even improved efficacy of LAIV compared with IIV, these recent data were surprising, raising many questions about the potential mechanisms underlying this change. This review seeks to summarize the history of LAIV studies and ACIP recommendations with a focus on the recent decrease in vaccine effectiveness (VE) and discordant results among studies performed in different countries. Decreased VE for A/H1N1pdm09 viruses represents the most consistent finding across studies, as VE has been low every season these viruses predominated since 2010-11. Potential explanations underlying diminished effectiveness include the hypothesis that prior vaccination, reduced thermostability of A/H1N1pdm09, addition of a fourth virus, or reduced replication fitness of A/H1N1pdm09 strains may have contributed to this phenomenon. Ongoing studies and potential alterations to LAIV formulations provide hope for a return of effective LAIV in future influenza seasons.
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Affiliation(s)
- Michelle A Gill
- Division of Infectious Diseases, Departments of Pediatrics, Internal Medicine, and Immunology, University of Texas Southwestern Medical Center, Dallas, Texas
| | - Elizabeth P Schlaudecker
- Division of Infectious Diseases, Global Health Center, Department of Pediatrics, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio
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34
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Buchan SA, Chung H, Campitelli MA, Crowcroft NS, Gubbay JB, Karnauchow T, Katz K, McGeer AJ, McNally JD, Richardson D, Richardson SE, Rosella LC, Simor A, Smieja M, Tran D, Zahariadis G, Kwong JC. Vaccine effectiveness against laboratory-confirmed influenza hospitalizations among young children during the 2010-11 to 2013-14 influenza seasons in Ontario, Canada. PLoS One 2017; 12:e0187834. [PMID: 29149183 PMCID: PMC5693284 DOI: 10.1371/journal.pone.0187834] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2017] [Accepted: 10/26/2017] [Indexed: 01/14/2023] Open
Abstract
Uncertainty remains regarding the magnitude of effectiveness of influenza vaccines for preventing serious outcomes, especially among young children. We estimated vaccine effectiveness (VE) against laboratory-confirmed influenza hospitalizations among children aged 6-59 months. We used the test-negative design in hospitalized children in Ontario, Canada during the 2010-11 to 2013-14 influenza seasons. We used logistic regression models adjusted for age, season, and time within season to calculate VE estimates by vaccination status (full vs. partial), age group, and influenza season. We also assessed VE incorporating prior history of influenza vaccination. We included specimens from 9,982 patient hospitalization episodes over four seasons, with 12.8% testing positive for influenza. We observed variation in VE by vaccination status, age group, and influenza season. For the four seasons combined, VE was 60% (95%CI, 44%-72%) for full vaccination and 39% (95%CI, 17%-56%) for partial vaccination. VE for full vaccination was 67% (95%CI, 48%-79%) for children aged 24-59 months, 48% (95%CI, 12%-69%) for children aged 6-23 months, 77% (95%CI, 47%-90%) for 2010-11, 59% (95%CI, 13%-81%) for 2011-12, 33% (95%CI, -18% to 62%) for 2012-13, and 72% (95%CI, 42%-86%) for 2013-14. VE in children aged 24-59 months appeared similar between those vaccinated in both the current and previous seasons and those vaccinated in the current season only, with the exception of 2012-13, when VE was lower for those vaccinated in the current season only. Influenza vaccination is effective in preventing pediatric laboratory-confirmed influenza hospitalizations during most seasons.
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Affiliation(s)
- Sarah A. Buchan
- Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
| | - Hannah Chung
- Institute for Clinical Evaluative Sciences, Toronto, Ontario, Canada
| | | | - Natasha S. Crowcroft
- Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
- Public Health Ontario, Toronto, Ontario, Canada
- Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Ontario, Canada
| | - Jonathan B. Gubbay
- Public Health Ontario, Toronto, Ontario, Canada
- Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Ontario, Canada
- The Hospital for Sick Children, Toronto, Ontario, Canada
| | - Timothy Karnauchow
- Children’s Hospital of Eastern Ontario, Ottawa, Ontario, Canada
- Department of Pathology and Laboratory Medicine, University of Ottawa, Ottawa, Ontario, Canada
| | - Kevin Katz
- Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Ontario, Canada
- North York General Hospital, Toronto, Ontario, Canada
| | - Allison J. McGeer
- Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
- Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Ontario, Canada
- Sinai Health System, Toronto, Ontario, Canada
| | | | | | - Susan E. Richardson
- Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Ontario, Canada
- The Hospital for Sick Children, Toronto, Ontario, Canada
| | - Laura C. Rosella
- Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
- Institute for Clinical Evaluative Sciences, Toronto, Ontario, Canada
- Public Health Ontario, Toronto, Ontario, Canada
| | - Andrew Simor
- Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Ontario, Canada
- Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
| | | | - Dat Tran
- The Hospital for Sick Children, Toronto, Ontario, Canada
- Department of Paediatrics, University of Toronto, Toronto, Ontario, Canada
| | - George Zahariadis
- London Health Sciences Centre, London, Ontario, Canada
- Newfoundland & Labrador Public Health Laboratory, St. John’s, Newfoundland & Labrador, Canada
| | - Jeffrey C. Kwong
- Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
- Institute for Clinical Evaluative Sciences, Toronto, Ontario, Canada
- Public Health Ontario, Toronto, Ontario, Canada
- Department of Family & Community Medicine, University of Toronto, Toronto, Ontario, Canada
- University Health Network, Toronto, Ontario, Canada
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35
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Kuliese M, Jancoriene L, Grimalauskaite R, Zablockiene B, Damuleviciene G, Velyvyte D, Lesauskaite V, Ambrozaitis A, Mickiene A, Gefenaite G. Seasonal influenza vaccine effectiveness against laboratory-confirmed influenza in 2015-2016: a hospital-based test-negative case -control study in Lithuania. BMJ Open 2017; 7:e017835. [PMID: 29018073 PMCID: PMC5652622 DOI: 10.1136/bmjopen-2017-017835] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/19/2017] [Accepted: 06/28/2017] [Indexed: 12/26/2022] Open
Abstract
OBJECTIVE A case-control study was conducted to assess seasonal influenza vaccine effectiveness (SIVE) during the 2015-2016 influenza season. METHODS A study was performed in three departments in Lithuania between 1 December 2015 and 1 May 2016. Data on demographic and clinical characteristics including influenza vaccination status were collected from the patients recommended to receive the seasonal influenza vaccine. Influenza virus infection was confirmed by multiplex reverse transcription polymerase chain reaction (RT-PCR) . RESULTS Ninety-one (56.4%) of the 163 included subjects were ≥65 years old. Fifteen (9.2%) subjects were vaccinated against influenza at least 2 weeks before the onset of influenza symptoms, 12 of them were ≥65 years old. Of the 72 (44.2%) influenza virus positive cases, 65 (39.9%) were confirmed with influenza A (including 50 cases of influenza A(H1N1)pdm09), eight (4.9%) were confirmed with influenza B and one was a co-infection. Unadjusted SIVE against any influenza, influenza type A and influenza A(H1N1)pdm09 was 57% (95% CI -41% to 87%), 52% (95% CI -57% to 85%) and 70% (95% CI -43% to 94%) respectively. CONCLUSION Although SIVE estimates were not statistically significant the point estimates suggest moderate effectiveness against influenza type A.
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Affiliation(s)
- Monika Kuliese
- Department of Infectious Diseases, Lithuanian University of Health Sciences, Kaunas, Lithuania
| | - Ligita Jancoriene
- Clinic of Infectious, Chest Diseases, Dermatovenerology and Allergology, Vilnius University Faculty of Medicine, Vilnius, Lithuania
- Centre of Infectious Diseases, Vilnius University Hospital Santaros Klinikos, Vilnius, Lithuania
| | - Rita Grimalauskaite
- Department of Geriatrics, Lithuanian University of Health Sciences, Kaunas, Lithuania
| | - Birute Zablockiene
- Clinic of Infectious, Chest Diseases, Dermatovenerology and Allergology, Vilnius University Faculty of Medicine, Vilnius, Lithuania
- Centre of Infectious Diseases, Vilnius University Hospital Santaros Klinikos, Vilnius, Lithuania
| | - Gyte Damuleviciene
- Department of Geriatrics, Lithuanian University of Health Sciences, Kaunas, Lithuania
| | - Daiva Velyvyte
- Department of Infectious Diseases, Lithuanian University of Health Sciences, Kaunas, Lithuania
| | - Vita Lesauskaite
- Department of Geriatrics, Lithuanian University of Health Sciences, Kaunas, Lithuania
| | - Arvydas Ambrozaitis
- Clinic of Infectious, Chest Diseases, Dermatovenerology and Allergology, Vilnius University Faculty of Medicine, Vilnius, Lithuania
- Centre of Infectious Diseases, Vilnius University Hospital Santaros Klinikos, Vilnius, Lithuania
| | - Aukse Mickiene
- Department of Infectious Diseases, Lithuanian University of Health Sciences, Kaunas, Lithuania
| | - Giedre Gefenaite
- Department of Infectious Diseases, Lithuanian University of Health Sciences, Kaunas, Lithuania
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36
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Skowronski DM, Chambers C, De Serres G, Sabaiduc S, Winter AL, Dickinson JA, Gubbay JB, Fonseca K, Drews SJ, Charest H, Martineau C, Krajden M, Petric M, Bastien N, Li Y. Age-Related Differences in Influenza B Infection by Lineage in a Community-Based Sentinel System, 2010-2011 to 2015-2016, Canada. J Infect Dis 2017; 216:697-702. [PMID: 28934439 PMCID: PMC5853978 DOI: 10.1093/infdis/jix393] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2017] [Accepted: 08/03/2017] [Indexed: 11/29/2022] Open
Abstract
Age-related differences in influenza B lineage detection were explored in the community-based Canadian Sentinel Practitioner Surveillance Network (SPSN) from 2010–2011 to 2015–2016. Whereas >80% of B(Victoria) cases were <40 years old, B(Yamagata) cases showed a bimodal age distribution with 27% who were <20 years old and 61% who were 30–64 years old, but with a notable gap in cases between 20 and 29 years old (4%). Overall, the median age was 20 years lower for B(Victoria) vs B(Yamagata) cases (20 vs 40 years; P < .01). Additional phylodynamic and immuno-epidemiological research is needed to understand age-related variation in influenza B risk by lineage, with potential implications for prevention and control across the lifespan.
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Affiliation(s)
- Danuta M Skowronski
- British Columbia Centre for Disease Control.,University of British Columbia, Vancouver
| | | | - Gaston De Serres
- Institut National de Santé Publique du Québec.,Laval University.,Centre Hospitalier Universitaire de Québec, Québec City
| | | | | | | | | | - Kevin Fonseca
- University of Calgary, Alberta.,Alberta Provincial Laboratory, Calgary
| | - Steven J Drews
- Alberta Provincial Laboratory, Edmonton.,University of Alberta, Edmonton
| | | | | | - Mel Krajden
- British Columbia Centre for Disease Control.,University of British Columbia, Vancouver
| | | | - Nathalie Bastien
- National Microbiology Laboratory, Public Health Agency of Canada, Winnipeg, Manitoba, Canada
| | - Yan Li
- National Microbiology Laboratory, Public Health Agency of Canada, Winnipeg, Manitoba, Canada
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37
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Ramsay LC, Buchan SA, Stirling RG, Cowling BJ, Feng S, Kwong JC, Warshawsky BF. The impact of repeated vaccination on influenza vaccine effectiveness: a systematic review and meta-analysis. BMC Med 2017; 15:159. [PMID: 28823248 PMCID: PMC5563917 DOI: 10.1186/s12916-017-0919-0] [Citation(s) in RCA: 36] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/22/2017] [Accepted: 07/27/2017] [Indexed: 12/20/2022] Open
Abstract
BACKGROUND Conflicting results regarding the impact of repeated vaccination on influenza vaccine effectiveness (VE) may cause confusion regarding the benefits of receiving the current season's vaccine. METHODS We systematically searched MEDLINE, Embase, PubMed, and Cumulative Index to Nursing and Allied Health Literature from database inception to August 17, 2016, for observational studies published in English that reported VE against laboratory-confirmed influenza for four vaccination groups, namely current season only, prior season only, both seasons, and neither season. We pooled differences in VE (∆VE) between vaccination groups by influenza season and type/subtype using a random effects model. The study protocol is registered with PROSPERO (registration number: CRD42016037241). RESULTS We identified 3435 unique articles, reviewed the full text of 634, and included 20 for meta-analysis. Compared to prior season vaccination only, vaccination in both seasons was associated with greater protection against influenza H1N1 (∆VE = 26%; 95% CI, 15% to 36%) and B (∆VE = 24%; 95% CI, 7% to 42%), but not H3N2 (∆VE = 10%; 95% CI, -6% to 25%). Compared to no vaccination for either season, individuals who received the current season's vaccine had greater protection against H1N1 (∆VE = 61%; 95% CI, 50% to 70%), H3N2 (∆VE = 41%; 95% CI, 33% to 48%), and B (∆VE = 62%; 95% CI, 54% to 68%). We observed no differences in VE between vaccination in both seasons and the current season only for H1N1 (∆VE = 4%; 95% CI, -7% to 15%), H3N2 (∆VE = -12%; 95% CI, -27% to 4%), or B (∆VE = -8%; 95% CI, -17% to 1%). CONCLUSIONS From the patient perspective, our results support current season vaccination regardless of prior season vaccination. We found no overall evidence that prior season vaccination negatively impacts current season VE. It is important that future VE studies include vaccination history over multiple seasons in order to evaluate repeated vaccination in more detail.
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Affiliation(s)
- Lauren C. Ramsay
- Public Health Ontario, 480 University Avenue Suite 300, Toronto, Ontario M5G 1V2 Canada
| | - Sarah A. Buchan
- Dalla Lana School of Public Health, University of Toronto, 155 College St, Toronto, Ontario M5T 3M7 Canada
| | - Robert G. Stirling
- Dalla Lana School of Public Health, University of Toronto, 155 College St, Toronto, Ontario M5T 3M7 Canada
- Public Health Agency of Canada, 130 Colonnade Road, Ottawa, Ontario K1A 0K9 Canada
| | - 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, Pokfulam, Hong Kong, China
| | - Shuo Feng
- WHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong, China
| | - Jeffrey C. Kwong
- Public Health Ontario, 480 University Avenue Suite 300, Toronto, Ontario M5G 1V2 Canada
- Dalla Lana School of Public Health, University of Toronto, 155 College St, Toronto, Ontario M5T 3M7 Canada
- Institute for Clinical Evaluative Sciences, Veterans Hill Trail, 2075 Bayview Avenue G1 06, Toronto, Ontario M4N 3M5 Canada
- Department of Family & Community Medicine, University of Toronto, 155 College St, Toronto, Ontario M5T 3M7 Canada
- University Health Network, 399 Bathurst St, Toronto, Ontario M5T 2S8 Canada
| | - Bryna F. Warshawsky
- Public Health Ontario, 480 University Avenue Suite 300, Toronto, Ontario M5G 1V2 Canada
- Department of Epidemiology and Biostatistics, Western University, 1151 Richmond St, London, Ontario N6A 3K7 Canada
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38
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Singanayagam A, Zambon M, Lalvani A, Barclay W. Urgent challenges in implementing live attenuated influenza vaccine. THE LANCET. INFECTIOUS DISEASES 2017; 18:e25-e32. [PMID: 28780285 DOI: 10.1016/s1473-3099(17)30360-2] [Citation(s) in RCA: 37] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/16/2017] [Revised: 05/10/2017] [Accepted: 05/25/2017] [Indexed: 12/26/2022]
Abstract
Conflicting reports have emerged about the effectiveness of the live attenuated influenza vaccine. The live attenuated influenza vaccine appears to protect particularly poorly against currently circulating H1N1 viruses that are derived from the 2009 pandemic H1N1 viruses. During the 2015-16 influenza season, when pandemic H1N1 was the predominant virus, studies from the USA reported a complete lack of effectiveness of the live vaccine in children. This finding led to a crucial decision in the USA to recommend that the live vaccine not be used in 2016-17 and to switch to the inactivated influenza vaccine. Other countries, including the UK, Canada, and Finland, however, have continued to recommend the use of the live vaccine. This policy divergence and uncertainty has far reaching implications for the entire global community, given the importance of the production capabilities of the live attenuated influenza vaccine for pandemic preparedness. In this Personal View, we discuss possible explanations for the observed reduced effectiveness of the live attenuated influenza vaccine and highlight the underpinning scientific questions. Further research to understand the reasons for these observations is essential to enable informed public health policy and commercial decisions about vaccine production and development in coming years.
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Affiliation(s)
- Anika Singanayagam
- Department of Medicine, Imperial College, London, UK; NIHR Health Protection Research Unit in Respiratory Infections, Imperial College, London, UK
| | - Maria Zambon
- Virus Reference Department, National Infection Service, Public Health England, Colindale, London, UK; NIHR Health Protection Research Unit in Respiratory Infections, Imperial College, London, UK
| | - Ajit Lalvani
- National Heart and Lung Institute, Imperial College, London, UK; NIHR Health Protection Research Unit in Respiratory Infections, Imperial College, London, UK
| | - Wendy Barclay
- Department of Medicine, Imperial College, London, UK; NIHR Health Protection Research Unit in Respiratory Infections, Imperial College, London, UK.
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Caspard H, Mallory RM, Yu J, Ambrose CS. Live-Attenuated Influenza Vaccine Effectiveness in Children From 2009 to 2015-2016: A Systematic Review and Meta-Analysis. Open Forum Infect Dis 2017; 4:ofx111. [PMID: 28852675 PMCID: PMC5569992 DOI: 10.1093/ofid/ofx111] [Citation(s) in RCA: 55] [Impact Index Per Article: 6.9] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2017] [Accepted: 06/06/2017] [Indexed: 01/01/2023] Open
Abstract
BACKGROUND This systematic review and meta-analysis describes and consolidates findings from all studies that assessed the effectiveness of live-attenuated influenza vaccine (LAIV) against laboratory-confirmed influenza since the 2009 pandemic in children and young adults. METHODS A MEDLINE search was conducted for articles published from January 1, 2010 to November 30, 2016. All original publications reporting an effectiveness estimate of LAIV against cases of influenza confirmed by reverse-transcription polymerase chain reaction or culture were retained for analysis. Effectiveness estimates were categorized by LAIV formulation (monovalent, trivalent, and quadrivalent) and strain (any influenza strain, A(H1N1)pdm09, A(H3N2), and B strains). Consolidated estimates were obtained with a random-effects model. RESULTS A total of 24 publications presenting 29 observational studies were retained for meta-analysis. Live-attenuated influenza vaccine was not shown to be effective against A(H1N1)pdm09 strains as a monovalent formulation in 2009-2010 or as a trivalent formulation from 2010-2011 to 2013-2014, but consolidated sample sizes were small. It was effective as a quadrivalent formulation but less effective than inactivated influenza vaccine (IIV). Live-attenuated influenza vaccine was consistently effective against B strains and matched A(H3N2) strains but was not shown to provide significant protection against mismatched A(H3N2) strains in 2014-2015. CONCLUSIONS These findings confirm that effectiveness of LAIV against A(H1N1)pdm09 strains has been lower than IIV. A systematic investigation has been initiated to determine the root cause of the difference in effectiveness between pre- and postpandemic A(H1N1) vaccine strains and to identify a more consistently effective A(H1N1)pdm09 vaccine strain.
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Affiliation(s)
| | | | - Jing Yu
- MedImmune, Gaithersburg, Maryland
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Belongia EA, Skowronski DM, McLean HQ, Chambers C, Sundaram ME, De Serres G. Repeated annual influenza vaccination and vaccine effectiveness: review of evidence. Expert Rev Vaccines 2017; 16:1-14. [PMID: 28562111 DOI: 10.1080/14760584.2017.1334554] [Citation(s) in RCA: 201] [Impact Index Per Article: 25.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
INTRODUCTION Studies in the 1970s and 1980s signaled concern that repeated influenza vaccination could affect vaccine protection. The antigenic distance hypothesis provided a theoretical framework to explain variability in repeat vaccination effects based on antigenic similarity between successive vaccine components and the epidemic strain. Areas covered: A meta-analysis of vaccine effectiveness studies from 2010-11 through 2014-15 shows substantial heterogeneity in repeat vaccination effects within and between seasons and subtypes. When negative effects were observed, they were most pronounced for H3N2, especially in 2014-15 when vaccine components were unchanged and antigenically distinct from the epidemic strain. Studies of repeated vaccination across multiple seasons suggest that vaccine effectiveness may be influenced by more than one prior season. In immunogenicity studies, repeated vaccination blunts the hemagglutinin antibody response, particularly for H3N2. Expert commentary: Substantial heterogeneity in repeated vaccination effects is not surprising given the variation in study populations and seasons, and the variable effects of antigenic distance and immunological landscape in different age groups and populations. Caution is required in the interpretation of pooled results across multiple seasons, since this can mask important variation in repeat vaccination effects between seasons. Multi-season clinical studies are needed to understand repeat vaccination effects and guide recommendations.
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Affiliation(s)
- Edward A Belongia
- a Center for Clinical Epidemiology & Population Health, Marshfield Clinic Research Institute , Marshfield , WI , USA
| | - Danuta M Skowronski
- b Communicable Disease Prevention and Control Services, British Columbia Centre for Disease Control , Vancouver , BC , Canada
| | - Huong Q McLean
- a Center for Clinical Epidemiology & Population Health, Marshfield Clinic Research Institute , Marshfield , WI , USA
| | - Catharine Chambers
- b Communicable Disease Prevention and Control Services, British Columbia Centre for Disease Control , Vancouver , BC , Canada
| | - Maria E Sundaram
- c University of Minnesota School of Public Health , Minneapolis , MN , USA
| | - Gaston De Serres
- d Institut National de Sante Publique du Quebec [National Institute of Health of Quebec] , Quebec , Canada.,e Department of Social and Preventive Medicine , Laval University , Quebec , Canada
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Rapid identification of imported influenza viruses at Xiamen International Airport via an active surveillance program. Clin Microbiol Infect 2017; 24:289-294. [PMID: 28587905 PMCID: PMC7128276 DOI: 10.1016/j.cmi.2017.05.027] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2017] [Revised: 05/23/2017] [Accepted: 05/24/2017] [Indexed: 11/21/2022]
Abstract
Objectives The cross-border transmission of infectious diseases is a worldwide public health issue. Current border screening measures are insufficiently sensitive. The study objectives were to describe the epidemiologic pattern of influenza infection among incoming travellers at Xiamen International Airport during nonpandemic periods and to assess the performance of a rapid influenza diagnostic test in border screening. Methods Between May 2015 and May 2016, travellers with influenza-like illnesses entering China at Xiamen International Airport were screened with a rapid test, Flu Dot-ELISA, and the collected specimens were further subjected to virus isolation and phylogenetic analysis. Results Of the 1 540 076 incoming travellers, 1224 cases of influenza-like illness were identified; 261 tested positive in the rapid test, and 176 were confirmed to be influenza through virus culture. The sensitivity and specificity of the rapid test were demonstrated to be 96.6% (170/176) and 91.3% (957/1048), respectively, and the positive predictive and negative predictive values were 65.1% (170/261) and 99.4% (957/963), respectively. The epidemiologic study indicated that H3N2 and (H1N1)pdm09 were dominant in 2015 and 2016, respectively. In 2016, an increased number of influenza B isolates and cocirculation of both Victoria and Yamagata lineage influenza B viruses were observed, and mismatches between circulating influenza A(H1N1)pdm09 and influenza B Victoria lineage strains and vaccine strains also occurred. Conclusions We demonstrated the suitability and value of a high-sensitivity rapid influenza test in border screening and highlighted the importance of incoming travellers as a source of imported infectious diseases.
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Abstract
Background Influenza is a respiratory infection caused primarily by influenza A and B viruses. Vaccination is the most effective way to prevent influenza and its complications. The National Advisory Committee on Immunization (NACI) provides recommendations regarding seasonal influenza vaccines annually to the Public Health Agency of Canada (PHAC). Objective To summarize the NACI recommendations regarding the use of seasonal influenza vaccines for the 2017-2018 influenza season. Methods Annual influenza vaccine recommendations are developed by NACI's Influenza Working Group for consideration and approval by NACI, based on NACI's evidence-based process for developing recommendations. The recommendations include a consideration of the burden of influenza illness and the target populations for vaccination; efficacy and effectiveness, immunogenicity and safety of influenza vaccines; vaccine schedules; and other aspects of influenza immunization. These recommendations are published annually on the Agency's website in the NACI Advisory Committee Statement: Canadian Immunization Guide Chapter on Influenza and Statement on Seasonal Influenza Vaccine (the Statement). Results The annual statement has been updated for the 2017-2018 influenza season to incorporate recommendations for the use of live attenuated influenza vaccine (LAIV) that were contained in two addenda published after the 2016-2017 statement. These recommendations were 1) that egg-allergic individuals may be vaccinated against influenza using the low ovalbumin-containing LAIV licensed for use in Canada and 2) to continue to recommend the use of LAIV in children and adolescents 2-17 years of age, but to remove the preferential recommendation for its use. Conclusion NACI continues to recommend annual influenza vaccination for all individuals aged six months and older, with particular focus on people at high risk of influenza-related complications or hospitalization, people capable of transmitting influenza to those at high risk, and others as indicated.
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Principi N, Esposito S. Protection of children against influenza: Emerging problems. Hum Vaccin Immunother 2017; 14:750-757. [PMID: 28129049 DOI: 10.1080/21645515.2017.1279772] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022] Open
Abstract
Influenza is a common disease and in children it can be severe enough to lead to hospitalization and death. Protection of all children against influenza, particularly the youngest, is strongly recommended by most health authorities. However, available vaccines cannot be used in the first 6 months of age, a period of life characterized by the highest risk of influenza-related complications. Maternal immunization is an attractive possibility to overcome this problem. For years, protection against influenza has been pursued by administering the trivalent inactivated vaccine given intramuscularly (IIV3). More recently, a trivalent live attenuated influenza vaccine (LAIV3) administered intranasally was licensed and adopted in a number of countries as an alternative to IIV3. In recent years, to increase protection and include a second B strain, quadrivalent inactivated (IIV4) and live attenuated vaccines (LAIV4) were prepared and licensed. However, during the 2015-2016 season the effectiveness of LAIVs was debated, and they were withdrawn from the list of recommended influenza vaccines in the USA. This review presents an update on the evidence related to the protection of infants against influenza through maternal immunization and the effectiveness of LAIV. Available data indicates that despite maternal immunization, a number of children have no protective antibody levels at birth, and in the majority of children with antibody protection, it is limited to the first 8 weeks of the postnatal period. Moreover, data on LAIV effectiveness in the pediatric population must be clarified because this vaccine can significantly improve vaccination coverage in children.
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Affiliation(s)
- Nicola Principi
- a Pediatric Highly Intensive Care Unit, Department of Pathophysiology and Transplantation , Università degli Studi di Milano, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico , Milan , Italy
| | - Susanna Esposito
- a Pediatric Highly Intensive Care Unit, Department of Pathophysiology and Transplantation , Università degli Studi di Milano, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico , Milan , Italy
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Leung VK, Cowling BJ, Feng S, Sullivan SG. Concordance of interim and final estimates of influenza vaccine effectiveness: a systematic review. ACTA ACUST UNITED AC 2017; 21:30202. [PMID: 27124573 DOI: 10.2807/1560-7917.es.2016.21.16.30202] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2015] [Accepted: 01/25/2016] [Indexed: 11/20/2022]
Abstract
The World Health Organization's Global Influenza Surveillance and Response System meets twice a year to generate a recommendation for the composition of the seasonal influenza vaccine. Interim vaccine effectiveness (VE) estimates provide a preliminary indication of influenza vaccine performance during the season and may be useful for decision making. We reviewed 17 pairs of studies reporting 33 pairs of interim and final estimates using the test-negative design to evaluate whether interim estimates can reliably predict final estimates. We examined features of the study design that may be correlated with interim estimates being substantially different from their final estimates and identified differences related to change in study period and concomitant changes in sample size, proportion vaccinated and proportion of cases. An absolute difference of no more than 10% between interim and final estimates was found for 18 of 33 reported pairs of estimates, including six of 12 pairs reporting VE against any influenza, six of 10 for influenza A(H1N1)pdm09, four of seven for influenza A(H3N2) and two of four for influenza B. While we identified inconsistencies in the methods, the similarities between interim and final estimates support the utility of generating and disseminating preliminary estimates of VE while virus circulation is ongoing.
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Affiliation(s)
- Vivian K Leung
- World Health Organization Collaborating Centre for Reference and Research on Influenza, Peter Doherty Institute for Infection and Immunity, Melbourne, Australia
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45
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Darvishian M, van den Heuvel ER, Bissielo A, Castilla J, Cohen C, Englund H, Gefenaite G, Huang WT, la Bastide-van Gemert S, Martinez-Baz I, McAnerney JM, Ntshoe GM, Suzuki M, Turner N, Hak E. Effectiveness of seasonal influenza vaccination in community-dwelling elderly people: an individual participant data meta-analysis of test-negative design case-control studies. THE LANCET RESPIRATORY MEDICINE 2017; 5:200-211. [PMID: 28189522 DOI: 10.1016/s2213-2600(17)30043-7] [Citation(s) in RCA: 47] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/19/2016] [Revised: 11/21/2016] [Accepted: 11/29/2016] [Indexed: 01/24/2023]
Abstract
BACKGROUND Several aggregate data meta-analyses have provided estimates of the effectiveness of influenza vaccination in community-dwelling elderly people. However, these studies ignored the effects of patient-level confounders such as sex, age, and chronic diseases that could bias effectiveness estimates. We aimed to assess the confounder-adjusted effectiveness of influenza vaccines on laboratory-confirmed influenza among elderly people by conducting a global individual participant data meta-analysis. METHODS In this individual participant data meta-analysis, we considered studies included in a previously conducted aggregate data meta-analysis that included test-negative design case-control studies published up to July 13, 2014. We contacted all authors of the included studies on Dec 1, 2014, to request individual participant data. Patients were excluded if their unique identifier was missing, their vaccination status was unknown, their outcome status was unknown, or they had had suspected influenza infection more than once in the same influenza season. Cases were patients with influenza-like illness symptoms who tested positive for at least one of A H1N1, A H1N1 pdm09, A H3N2, or B viruses; controls were patients with influenza-like illness symptoms who tested negative for these virus types or subtypes. Influenza vaccine effectiveness against overall and subtype-specific laboratory-confirmed influenza were the primary and secondary outcomes. We used a generalised linear mixed model to calculate adjusted vaccine effectiveness according to vaccine match to the circulating strains of influenza virus and intensity of the virus activity (epidemic or non-epidemic). Vaccine effectiveness was defined as the relative reduction in risk of laboratory-confirmed influenza in vaccinated patients compared with unvaccinated patients. We did subgroup analyses to estimate vaccine effectiveness according to hemisphere, age category, and health status. FINDINGS We received 23 of the 53 datasets included in the aggregate data meta-analysis. Furthermore, six additional datasets were provided by data collaborators, which resulted in individual participant data for a total of 5210 participants. A total of 4975 patients had the required data for analysis. Of these, 3146 (63%) were controls and 1829 (37%) were cases. Influenza vaccination was significantly effective during epidemic seasons irrespective of vaccine match status (matched adjusted vaccine effectiveness 44·38%, 95% CI 22·63-60·01; mismatched adjusted vaccine effectiveness 20·00%, 95% CI 3·46-33·68; analyses in the imputed dataset). Seasonal influenza vaccination did not show significant effectiveness during non-epidemic seasons. We found substantial variation in vaccine effectiveness across virus types and subtypes, with the highest estimate for A H1N1 pdm09 (53·19%, 10·25-75·58) and the lowest estimate for B virus types (-1·52%, -39·58 to 26·16). Although we observed no significant differences between subgroups in each category (hemisphere, age, and health status), influenza vaccination showed a protective effect among elderly people with cardiovascular disease, lung disease, or aged 75 years and younger. INTERPRETATION Influenza vaccination is moderately effective against laboratory-confirmed influenza in elderly people during epidemic seasons. More research is needed to investigate factors affecting vaccine protection (eg, brand-specific or type-specific vaccine effectiveness and repeated annual vaccination) in elderly people. FUNDING University Medical Center Groningen.
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Affiliation(s)
- Maryam Darvishian
- Department of Epidemiology, University Medical Center Groningen, University of Groningen, Groningen, Netherlands; Unit of Pharmacoepidemiology & Pharmacoeconomics (PE2), Department of Pharmacy, University of Groningen, Groningen, Netherlands; British Columbia Centre for Disease Control, Vancouver, BC, Canada; School of Population and Public Health, University of British Columbia, Vancouver, BC, Canada.
| | | | - Ange Bissielo
- Institute of Environmental Science and Research, Wallaceville, New Zealand
| | - Jesus Castilla
- Instituto de Salud Pública, Navarra Institute for Health Research (IdiSNA), Pamplona, Spain; CIBER Epidemiología y Salud Pública, Spain
| | - Cheryl Cohen
- Centre for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases of the National Health Laboratory Service, Johannesburg, South Africa; School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Helene Englund
- Unit for Vaccination Programs, Department of Monitoring and Evaluation, Public Health Agency of Sweden, Solna, Sweden
| | | | | | - Sacha la Bastide-van Gemert
- Department of Epidemiology, University Medical Center Groningen, University of Groningen, Groningen, Netherlands
| | - Iván Martinez-Baz
- Instituto de Salud Pública, Navarra Institute for Health Research (IdiSNA), Pamplona, Spain; CIBER Epidemiología y Salud Pública, Spain
| | - Johanna M McAnerney
- National Institute for Communicable Diseases of the National Health Laboratory Services, Johannesburg, South Africa
| | - Genevie M Ntshoe
- Division of Public Health Surveillance and Response, National Institute for Communicable Diseases of the National Health Laboratory Service, Johannesburg, South Africa
| | - Motoi Suzuki
- Department of Clinical Medicine, Institute of Tropical Medicine, Nagasaki University, Japan
| | - Nikki Turner
- Department of General Practice and Primary Care, University of Auckland, New Zealand
| | - Eelko Hak
- Department of Epidemiology, University Medical Center Groningen, University of Groningen, Groningen, Netherlands; Unit of Pharmacoepidemiology & Pharmacoeconomics (PE2), Department of Pharmacy, University of Groningen, Groningen, Netherlands
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Debbink K, McCrone JT, Petrie JG, Truscon R, Johnson E, Mantlo EK, Monto AS, Lauring AS. Vaccination has minimal impact on the intrahost diversity of H3N2 influenza viruses. PLoS Pathog 2017; 13:e1006194. [PMID: 28141862 PMCID: PMC5302840 DOI: 10.1371/journal.ppat.1006194] [Citation(s) in RCA: 66] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2016] [Revised: 02/10/2017] [Accepted: 01/19/2017] [Indexed: 12/19/2022] Open
Abstract
While influenza virus diversity and antigenic drift have been well characterized on a global scale, the factors that influence the virus’ rapid evolution within and between human hosts are less clear. Given the modest effectiveness of seasonal vaccination, vaccine-induced antibody responses could serve as a potent selective pressure for novel influenza variants at the individual or community level. We used next generation sequencing of patient-derived viruses from a randomized, placebo-controlled trial of vaccine efficacy to characterize the diversity of influenza A virus and to define the impact of vaccine-induced immunity on within-host populations. Importantly, this study design allowed us to isolate the impact of vaccination while still studying natural infection. We used pre-season hemagglutination inhibition and neuraminidase inhibition titers to quantify vaccine-induced immunity directly and to assess its impact on intrahost populations. We identified 166 cases of H3N2 influenza over 3 seasons and 5119 person-years. We obtained whole genome sequence data for 119 samples and used a stringent and empirically validated analysis pipeline to identify intrahost single nucleotide variants at ≥1% frequency. Phylogenetic analysis of consensus hemagglutinin and neuraminidase sequences showed no stratification by pre-season HAI and NAI titer, respectively. In our study population, we found that the vast majority of intrahost single nucleotide variants were rare and that very few were found in more than one individual. Most samples had fewer than 15 single nucleotide variants across the entire genome, and the level of diversity did not significantly vary with day of sampling, vaccination status, or pre-season antibody titer. Contrary to what has been suggested in experimental systems, our data indicate that seasonal influenza vaccination has little impact on intrahost diversity in natural infection and that vaccine-induced immunity may be only a minor contributor to antigenic drift at local scales. Influenza is a significant global health problem. Vaccination is the best way to prevent influenza virus infection, and seasonal influenza vaccines are considered for reformulation each year in order to keep up with the virus’ evolution. Despite these efforts, vaccine recipients often develop an immune response that does not protect from infection. Given the current recommendation that all people over 6 months of age get vaccinated, it is important to understand how vaccination itself may impact viral evolution during natural human infection. We studied how vaccination may alter viral evolution within individuals, as each person harbors many highly-related influenza variants that differ in their ability to escape the immune response. We compared groups of people in a vaccine trial to determine the impact that vaccination has on viral diversity and variant selection within individuals. We did not detect significant differences in the number of variants detected or in the prevalence of mutations that could impact antibody binding based on vaccination group or antibody response. Our work suggests that vaccination is not a major factor in driving the emergence of new influenza strains at the level of the individual host.
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Affiliation(s)
- Kari Debbink
- Division of Infectious Diseases, Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan, United States of America
| | - John T McCrone
- Department of Microbiology and Immunology, University of Michigan, Ann Arbor, Michigan, United States of America
| | - Joshua G Petrie
- Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, Michigan, United States of America
| | - Rachel Truscon
- Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, Michigan, United States of America
| | - Emileigh Johnson
- Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, Michigan, United States of America
| | - Emily K Mantlo
- Division of Infectious Diseases, Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan, United States of America
| | - Arnold S Monto
- Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, Michigan, United States of America
| | - Adam S Lauring
- Division of Infectious Diseases, Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan, United States of America.,Department of Microbiology and Immunology, University of Michigan, Ann Arbor, Michigan, United States of America
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López-Labrador FX, Natividad-Sancho A, Pisareva M, Komissarov A, Salvatierra K, Fadeev A, Moya A, Grudinin M, Díez-Domingo J, Afanasieva O, Konovalova N, Sominina A, Puig-Barberà J. Genetic characterization of influenza viruses from influenza-related hospital admissions in the St. Petersburg and Valencia sites of the Global Influenza Hospital Surveillance Network during the 2013/14 influenza season. J Clin Virol 2016; 84:32-38. [PMID: 27690141 DOI: 10.1016/j.jcv.2016.09.006] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2016] [Revised: 09/06/2016] [Accepted: 09/19/2016] [Indexed: 02/07/2023]
Abstract
BACKGROUND Continuous surveillance for genetic changes in circulating influenza viruses is needed to guide influenza prevention and control. OBJECTIVES To compare intra-seasonal influenza genetic diversity of hemagglutinin in influenza A strains isolated from influenza hospital admissions collected at two distinct sites during the same season. STUDY DESIGN Comparative phylogenetic analysis of full-length hemagglutinin genes from 77 isolated influenza A viruses from the St. Petersburg, Russian Federation and Valencia, Spain sites of the Global Influenza Hospital Surveillance Network (GIHSN) during the 2013/14 season. RESULTS We found significant variability in A(H3N2) and A(H1N1)pdm09 viruses between the two sites, with nucleotide variation at antigenic positions much lower for A(H1N1)pdm09 than for A(H3N2) viruses. For A(H1N1)pdm09, antigenic sites differed by three to four amino acids from the vaccine strain, two of them common to all tested isolates. For A(H3N2) viruses, antigenic sites differed by six to nine amino acids from the vaccine strain, four of them common to all tested isolates. A fifth amino acid substitution in the antigenic sites of A(H3N2) defined a new clade, 3C.2. For both influenza A subtypes, pairwise amino acid distances between circulating viruses and vaccine strains were significantly higher at antigenic than at non-antigenic sites. Whereas A(H1N1)pdm09 viruses clustered with clade 6B and 94% of A(H3N2) with clade 3C.3, at both study sites A(H3N2) clade 3C.2 viruses emerged towards the end of the season, showing greater pairwise amino acid distances from the vaccine strain compared to the predominant clade 3C.3. CONCLUSIONS Influenza A antigenic variants differed between St. Petersburg and Valencia, and A(H3N2) clade 3C.2 viruses were characterized by more amino acid differences from the vaccine strain, especially at the antigenic sites.
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MESH Headings
- Adolescent
- Adult
- Aged
- Aged, 80 and over
- Child
- Child, Preschool
- Epidemiological Monitoring
- Female
- Genetic Variation
- Genome, Viral
- Global Health
- Hemagglutinin Glycoproteins, Influenza Virus/genetics
- Humans
- Infant
- Influenza A Virus, H1N1 Subtype/genetics
- Influenza A Virus, H1N1 Subtype/isolation & purification
- Influenza A Virus, H3N2 Subtype/genetics
- Influenza A Virus, H3N2 Subtype/isolation & purification
- Influenza, Human/epidemiology
- Influenza, Human/virology
- Male
- Middle Aged
- Phylogeny
- RNA, Viral/genetics
- Russia/epidemiology
- Seasons
- Sequence Analysis, DNA
- Spain/epidemiology
- Young Adult
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Affiliation(s)
- F Xavier López-Labrador
- Fundación para el Fomento de la Investigación Sanitaria y Biomédica de la Comunidad Valenciana (FISABIO), Avda. de Catalunya, 21, 46020 Valencia, Spain; Joint Units of Infection and of Genomics and Health, FISABIO/Cavanilles Institute for Biodiversity and Evolutionary Biology, University of Valencia, Spain; Centro de Investigación Biomédica en Red de Epidemiología y Salud Publica (CIBER-ESP), Instituto de Salud Carlos III, Spain.
| | - Angels Natividad-Sancho
- Fundación para el Fomento de la Investigación Sanitaria y Biomédica de la Comunidad Valenciana (FISABIO), Avda. de Catalunya, 21, 46020 Valencia, Spain.
| | - Maria Pisareva
- Research Institute of Influenza, Ministry of Health, Prof. Popov Str. 15/17, St. Petersburg, Russian Federation.
| | - Andrey Komissarov
- Research Institute of Influenza, Ministry of Health, Prof. Popov Str. 15/17, St. Petersburg, Russian Federation.
| | - Karina Salvatierra
- Fundación para el Fomento de la Investigación Sanitaria y Biomédica de la Comunidad Valenciana (FISABIO), Avda. de Catalunya, 21, 46020 Valencia, Spain; Joint Units of Infection and of Genomics and Health, FISABIO/Cavanilles Institute for Biodiversity and Evolutionary Biology, University of Valencia, Spain.
| | - Artem Fadeev
- Research Institute of Influenza, Ministry of Health, Prof. Popov Str. 15/17, St. Petersburg, Russian Federation.
| | - Andrés Moya
- Joint Units of Infection and of Genomics and Health, FISABIO/Cavanilles Institute for Biodiversity and Evolutionary Biology, University of Valencia, Spain.
| | - Mikhail Grudinin
- Research Institute of Influenza, Ministry of Health, Prof. Popov Str. 15/17, St. Petersburg, Russian Federation.
| | - Javier Díez-Domingo
- Fundación para el Fomento de la Investigación Sanitaria y Biomédica de la Comunidad Valenciana (FISABIO), Avda. de Catalunya, 21, 46020 Valencia, Spain.
| | - Olga Afanasieva
- Research Institute of Influenza, Ministry of Health, Prof. Popov Str. 15/17, St. Petersburg, Russian Federation.
| | - Nadezhda Konovalova
- Research Institute of Influenza, Ministry of Health, Prof. Popov Str. 15/17, St. Petersburg, Russian Federation.
| | - Anna Sominina
- Research Institute of Influenza, Ministry of Health, Prof. Popov Str. 15/17, St. Petersburg, Russian Federation.
| | - Joan Puig-Barberà
- Fundación para el Fomento de la Investigación Sanitaria y Biomédica de la Comunidad Valenciana (FISABIO), Avda. de Catalunya, 21, 46020 Valencia, Spain.
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48
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Victor JC, Lewis KDC, Diallo A, Niang MN, Diarra B, Dia N, Ortiz JR, Widdowson MA, Feser J, Hoagland R, Emery SL, Lafond KE, Neuzil KM. Efficacy of a Russian-backbone live attenuated influenza vaccine among children in Senegal: a randomised, double-blind, placebo-controlled trial. LANCET GLOBAL HEALTH 2016; 4:e955-e965. [PMID: 27746224 PMCID: PMC5118222 DOI: 10.1016/s2214-109x(16)30201-7] [Citation(s) in RCA: 45] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/25/2016] [Revised: 07/19/2016] [Accepted: 08/01/2016] [Indexed: 12/20/2022]
Abstract
Background Live attenuated influenza vaccines have been shown to significantly reduce influenza in diverse populations of children, but no efficacy studies have been done in resource-poor tropical settings. In Senegal, we assessed the efficacy and safety of a live attenuated influenza vaccine based on Russian-derived master donor viruses and licensed as a single dose. Methods In this double-blind, placebo-controlled, parallel group, single-centre trial done near Niakhar, Senegal, generally healthy children aged 2–5 years were randomly allocated (2:1) to receive a single intranasal dose of masked trivalent live attenuated influenza vaccine or placebo. The allocation sequence was computer-generated by PATH with block sizes of three. The manufacturer provided vaccine and placebo in coded vials to preserve blinding. Participants were monitored through the predictable influenza season in Senegal for adverse events and signs and symptoms of influenza using weekly home visits and surveillance in clinics. The primary outcome was symptomatic laboratory-confirmed influenza caused by any strain and occurring from 15 days post-vaccination to the end of the study. The primary analysis was per protocol. This study is registered with ClinicalTrials.gov, number NCT01854632. Findings Between May 23, and July 1, 2013, 1761 children were randomly assigned, 1174 to receive live attenuated influenza vaccine and 587 to receive placebo. The per-protocol set included 1173 vaccinees and 584 placebo recipients followed up to Dec 20, 2013. Symptomatic influenza was laboratory-confirmed in 210 (18%) of 1173 recipients of live attenuated influenza vaccine and 105 (18%) of placebo recipients, giving a vaccine efficacy of 0·0% (95% CI −26·4 to 20·9). Adverse events were balanced between the study groups. Two girls who had received live attenuated influenza vaccine died, one due to anasarca 12 days postvaccination and one due to malnutrition 70 days postvaccination. Interpretation Live attenuated influenza vaccine was well tolerated in young children in Senegal, but did not provide protection against influenza. Further study in such populations, which might experience extended periods of influenza circulation, is warranted. Funding US Centers for Disease Control and Prevention and Bill & Melinda Gates Foundation.
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Affiliation(s)
| | | | - Aldiouma Diallo
- Mixed Research Unit 198, Institut de Recherche Pour le Développement, Dakar, Senegal
| | - Mbayame N Niang
- Senegal National Influenza Center, Institut Pasteur de Dakar, Dakar, Senegal
| | - Bou Diarra
- Mixed Research Unit 198, Institut de Recherche Pour le Développement, Dakar, Senegal
| | - Ndongo Dia
- Senegal National Influenza Center, Institut Pasteur de Dakar, Dakar, Senegal
| | - Justin R Ortiz
- PATH, Seattle, WA, USA; Departments of Global Health and Medicine, University of Washington, Seattle, WA, USA
| | - Marc-Alain Widdowson
- Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | | | | | - Shannon L Emery
- Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Kathryn E Lafond
- Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Kathleen M Neuzil
- Center for Vaccine Development, University of Maryland School of Medicine, Baltimore, MD, USA
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49
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Levine MZ, Martin JM, Gross FL, Jefferson S, Cole KS, Archibald CA, Nowalk MP, Susick M, Moehling K, Spencer S, Chung JR, Flannery B, Zimmerman RK. Neutralizing Antibody Responses to Antigenically Drifted Influenza A(H3N2) Viruses among Children and Adolescents following 2014-2015 Inactivated and Live Attenuated Influenza Vaccination. CLINICAL AND VACCINE IMMUNOLOGY : CVI 2016; 23:831-839. [PMID: 27558294 PMCID: PMC5051070 DOI: 10.1128/cvi.00297-16] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/13/2016] [Accepted: 08/16/2016] [Indexed: 01/05/2023]
Abstract
Human influenza A(H3N2) viruses that predominated during the moderately severe 2014-2015 influenza season differed antigenically from the vaccine component, resulting in reduced vaccine effectiveness (VE). To examine antibody responses to 2014-2015 inactivated influenza vaccine (IIV) and live-attenuated influenza vaccine (LAIV) among children and adolescents, we collected sera before and after vaccination from 150 children aged 3 to 17 years enrolled at health care facilities. Hemagglutination inhibition (HI) assays were used to assess the antibody responses to vaccine strains. We evaluated cross-reactive antibody responses against two representative A(H3N2) viruses that had antigenically drifted from the A(H3N2) vaccine component using microneutralization (MN) assays. Postvaccination antibody titers to drifted A(H3N2) viruses were higher following receipt of IIV (MN geometric mean titers [GMTs], 63 to 68; 38 to 45% achieved seroconversion) versus LAIV (MN GMT, 22; only 3 to 5% achieved seroconversion). In 9- to 17-year-olds, the highest MN titers were observed among IIV-vaccinated individuals who had received LAIV in the previous season. Among all IIV recipients aged 3 to 17 years, the strongest predictor of antibody responses to the drifted viruses was the prevaccination titers to the vaccine strain. The results of our study suggest that in an antigenically drifted influenza season, vaccination still induced cross-reactive antibody responses to drifted circulating A(H3N2) viruses, although higher antibody titers may be required for protection. Antibody responses to drifted A(H3N2) viruses following vaccination were influenced by multiple factors, including vaccine type and preexisting immunity from prior exposure.
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MESH Headings
- Adolescent
- Antibodies, Neutralizing/blood
- Antibodies, Neutralizing/immunology
- Antibodies, Viral/blood
- Antigenic Variation
- Antigens, Viral/immunology
- Child
- Child, Preschool
- Cross Reactions
- Female
- Hemagglutination Inhibition Tests
- Humans
- Influenza A Virus, H3N2 Subtype/immunology
- Influenza B virus/immunology
- Influenza Vaccines/administration & dosage
- Influenza Vaccines/immunology
- Influenza, Human/epidemiology
- Influenza, Human/immunology
- Influenza, Human/prevention & control
- Male
- Seasons
- Vaccines, Attenuated/administration & dosage
- Vaccines, Attenuated/immunology
- Vaccines, Inactivated/administration & dosage
- Vaccines, Inactivated/immunology
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Affiliation(s)
- Min Z Levine
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Judith M Martin
- Department of Pediatrics, University of Pittsburgh, School of Medicine, Pittsburgh, Pennsylvania, USA
| | - F Liaini Gross
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia, USA Battelle, Atlanta, Georgia, USA
| | - Stacie Jefferson
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Kelly Stefano Cole
- Department of Immunology, University of Pittsburgh, School of Medicine, Pittsburgh, Pennsylvania, USA Center for Vaccine Research, University of Pittsburgh, School of Medicine, Pittsburgh, Pennsylvania, USA
| | - Crystal Ann Archibald
- Center for Vaccine Research, University of Pittsburgh, School of Medicine, Pittsburgh, Pennsylvania, USA Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Mary Patricia Nowalk
- Department of Family Medicine, University of Pittsburgh, School of Medicine, Pittsburgh, Pennsylvania, USA
| | - Michael Susick
- Department of Family Medicine, University of Pittsburgh, School of Medicine, Pittsburgh, Pennsylvania, USA
| | - Krissy Moehling
- Department of Family Medicine, University of Pittsburgh, School of Medicine, Pittsburgh, Pennsylvania, USA
| | - Sarah Spencer
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia, USA Atlanta Research and Education Foundation, Atlanta, Georgia, USA
| | - Jessie R Chung
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia, USA Atlanta Research and Education Foundation, Atlanta, Georgia, USA
| | - Brendan Flannery
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Richard K Zimmerman
- Center for Vaccine Research, University of Pittsburgh, School of Medicine, Pittsburgh, Pennsylvania, USA Department of Family Medicine, University of Pittsburgh, School of Medicine, Pittsburgh, Pennsylvania, USA Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
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50
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Caspard H, Coelingh KL, Mallory RM, Ambrose CS. Association of vaccine handling conditions with effectiveness of live attenuated influenza vaccine against H1N1pdm09 viruses in the United States. Vaccine 2016; 34:5066-5072. [PMID: 27613072 DOI: 10.1016/j.vaccine.2016.08.079] [Citation(s) in RCA: 32] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2016] [Accepted: 08/29/2016] [Indexed: 01/04/2023]
Abstract
PURPOSE This analysis examined potential causes of the lack of vaccine effectiveness (VE) of live attenuated influenza vaccine (LAIV) against A/H1N1pdm09 viruses in the United States (US) during the 2013-2014 season. Laboratory studies have demonstrated reduced thermal stability of A/California/07/2009, the A/H1N1pdm09 strain utilized in LAIV from 2009 through 2013-2014. METHODS Post hoc analyses of a 2013-2014 test-negative case-control (TNCC) effectiveness study investigated associations between vaccine shipping conditions and LAIV lot effectiveness. Investigational sites provided the LAIV lot numbers administered to each LAIV recipient enrolled in the study, and the vaccine distributor used by the site for commercially purchased vaccine. Additionally, a review was conducted of 2009-2014 pediatric observational TNCC effectiveness studies of LAIV, summarizing effectiveness by type/subtype, season, and geographic location. RESULTS From the 2013 to 2014 TNCC study, the proportion of LAIV recipients who tested positive for H1N1pdm09 was significantly higher among children who received a lot released between August 1 and September 15, 2013, compared with a lot shipped either earlier or later (21% versus 4%; P<0.01). A linear relationship was observed between the proportion of subjects testing positive for H1N1pdm09 and outdoor temperatures during truck unloading at distributors' central locations. The review of LAIV VE studies showed that in the 2010-2011 and 2013-2014 influenza seasons, no significant effectiveness of LAIV against H1N1pdm09 was demonstrated for the trivalent or quadrivalent formulations of LAIV in the US, respectively, in contrast to significant effectiveness against A/H3N2 and B strains during 2010-2014. CONCLUSIONS This study showed that the lack of VE observed with LAIV in the US against H1N1pdm09 viruses was associated with exposure of some LAIV lots to temperatures above recommended storage conditions during US distribution, and is likely explained by the increased susceptibility of the A/California/7/2009 (H1N1pdm09) LAIV strain to thermal degradation. CLINICAL TRIAL REGISTRY NCT01997450.
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Affiliation(s)
- Herve Caspard
- MedImmune, One MedImmune Way, Gaithersburg, MD 20878, USA.
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