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Xiaofei L, Yudan LI, Qinghui C, Jiaming S, Benfeng Z, Youyi Z, Biying W, Lijun Y, Jun Z, Jianmei T, Lin L, Xuejun S, Genming Z, Tao Z. Effectiveness of 13-valent pneumococcal conjugate vaccine against vaccine-serotype community acquired pneumococcal diseases among children in China: A test-negative case-control study. Vaccine 2024; 42:1275-1282. [PMID: 38296700 DOI: 10.1016/j.vaccine.2024.01.068] [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: 08/18/2023] [Revised: 01/19/2024] [Accepted: 01/22/2024] [Indexed: 02/02/2024]
Abstract
BACKGROUND In 2016, China licensed 13-valent pneumococcal conjugate vaccine (PCV13) based on a study that demonstrated its immunogenicity is non-inferior to PCV7. However, the real-world effectiveness of PCV13 against vaccine-serotype pneumococcal diseases in China has limited evidence. METHODS A test-negative case-control study was conducted among children under 5 years old admitted to the Children's Hospital of Soochow University (SCH) with respiratory tract infections from January 2018 to December 2020. Cases were defined as children from whom the isolates were tested positive for Streptococcus pneumoniae (S. pneumoniae) with serotypes included in PCV13. Two control groups were included, one represented children with isolates positive for S. pneumoniae of non-PCV13 serotypes and the other comprised children who tested negative for S. pneumoniae. The S. pneumoniae-negative controls were selected by matching them to the cases based on gender, age and admission date in a 1:1 ratio. Vaccine effectiveness (VE) was calculated using a logistic regression model as (1- adjusted odds ratio) * 100 %. RESULTS A total of 2371 pneumococcal isolates were included in the analysis, of which 75.0 % (1779/2371) were covered by PCV13 serotypes. Consequently, these 1779 children were classified as cases, and 592 children were designated as non-PCV13 serotype controls. Another 1779 children were correspondingly recruited as S. pneumoniae-negative controls. Overall, 40 cases (2.3 %) and 148 controls (6.2 %) had received vaccination. The overall VE in the PCV13/non-PCV13 serotypes case-control study was 50.0 % (95 % CI: 15.0, 70.7), which was lower than the VE of 74.4 % (95 % CI: 60.7, 83.3) in the matched PCV13/S. pneumoniae-negative case-control study. VE was higher for ≥ 2 or ≥ 3 doses of vaccination compared to ≥ 1 dose. VE against specific PCV13 serotypes (6B, 6A and 19F) was higher than for other serotypes. CONCLUSIONS PCV13 vaccination demonstrates effectiveness against vaccine-serotype pneumococcal diseases in children, particularly for serotypes 6B, 6A and 19F.
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Affiliation(s)
- Liu Xiaofei
- School of Public Health, Fudan University, Shanghai, China; Key Laboratory of Public Health Safety, Ministry of Education, Shanghai, China
| | - L I Yudan
- School of Public Health, Fudan University, Shanghai, China
| | - Chen Qinghui
- Children's Hospital of Soochow University, Suzhou, China
| | - Shen Jiaming
- School of Public Health, Fudan University, Shanghai, China; Key Laboratory of Public Health Safety, Ministry of Education, Shanghai, China
| | - Zheng Benfeng
- Suzhou Center for Disease Prevention and Control, Suzhou, China
| | - Zhang Youyi
- School of Public Health, Fudan University, Shanghai, China; Key Laboratory of Public Health Safety, Ministry of Education, Shanghai, China
| | - Wang Biying
- School of Public Health, Fudan University, Shanghai, China; Key Laboratory of Public Health Safety, Ministry of Education, Shanghai, China
| | - You Lijun
- School of Public Health, Fudan University, Shanghai, China
| | - Zhang Jun
- Suzhou Center for Disease Prevention and Control, Suzhou, China
| | - Tian Jianmei
- Children's Hospital of Soochow University, Suzhou, China
| | - Luan Lin
- Suzhou Center for Disease Prevention and Control, Suzhou, China
| | - Shao Xuejun
- Children's Hospital of Soochow University, Suzhou, China
| | - Zhao Genming
- School of Public Health, Fudan University, Shanghai, China; Key Laboratory of Public Health Safety, Ministry of Education, Shanghai, China.
| | - Zhang Tao
- School of Public Health, Fudan University, Shanghai, China; Key Laboratory of Public Health Safety, Ministry of Education, Shanghai, China.
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Huo Y, Yang Y, Halloran ME, Longini IM, Dean NE. Hypothesis testing and sample size considerations for the test-negative design. RESEARCH SQUARE 2023:rs.3.rs-3783493. [PMID: 38234799 PMCID: PMC10793497 DOI: 10.21203/rs.3.rs-3783493/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/19/2024]
Abstract
The test-negative design (TND) is an observational study design to evaluate vaccine effectiveness (VE) that enrolls individuals receiving diagnostic testing for a target disease as part of routine care. VE is estimated as one minus the adjusted odds ratio of testing positive versus negative comparing vaccinated and unvaccinated patients. Although the TND is related to case-control studies, it is distinct in that the ratio of test-positive cases to test-negative controls is not typically pre-specified. For both types of studies, sparse cells are common when vaccines are highly effective. We consider the implications of these features on power for the TND. We use simulation studies to explore three hypothesis-testing procedures and associated sample size calculations for case-control and TND studies. These tests, all based on a simple logistic regression model, are a standard Wald test, a continuity-corrected Wald test, and a score test. The Wald test performs poorly in both case-control and TND when VE is high because the number of vaccinated test-positive cases can be low or zero. Continuity corrections help to stabilize the variance but induce bias. We observe superior performance with the score test as the variance is pooled under the null hypothesis of no group differences. We recommend using a score-based approach to design and analyze both case-control and TND. We propose a modification to the TND score sample size to account for additional variability in the ratio of controls over cases. This work expands our understanding of the data mechanisms of the TND.
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Affiliation(s)
- Yanan Huo
- Gilead Sciences, Foster City, CA, USA
| | - Yang Yang
- Department of Statistics, Franklin College of Arts and Sciences, University of Georgia, Athens, GA, USA
| | | | - Ira M Longini
- Department of Biostatistics, University of Florida, Gainesville, FL, USA
| | - Natalie E Dean
- Department of Biostatistics & Bioinformatics, Emory University, Atlanta, GA, USA
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Influenza Viruses and Vaccines: The Role of Vaccine Effectiveness Studies for Evaluation of the Benefits of Influenza Vaccines. Vaccines (Basel) 2022; 10:vaccines10050714. [PMID: 35632470 PMCID: PMC9143275 DOI: 10.3390/vaccines10050714] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2022] [Revised: 04/28/2022] [Accepted: 04/29/2022] [Indexed: 02/04/2023] Open
Abstract
Influenza is a vaccine preventable disease and vaccination remains the most effective method of controlling the morbidity and mortality of seasonal influenza, especially with respect to risk groups. To date, three types of influenza vaccines have been licensed: inactivated, live-attenuated, and recombinant haemagglutinin vaccines. Effectiveness studies allow an assessment of the positive effects of influenza vaccines in the field. The effectiveness of current influenza is suboptimal, being estimated as 40% to 60% when the vaccines strains are antigenically well-matched with the circulating viruses. This review focuses on influenza viruses and vaccines and the role of vaccine effectiveness studies for evaluating the benefits of influenza vaccines. Overall, influenza vaccines are effective against morbidity and mortality in all age and risk groups, especially in young children and older adults. However, the effectiveness is dependent on several factors such as the age of vaccinees, the match between the strain included in the vaccine composition and the circulating virus, egg-adaptations occurring during the production process, and the subject’s history of previous vaccination.
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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: 6] [Impact Index Per Article: 2.0] [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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Yang X, Zhao H, Li Z, Zhu A, Ren M, Geng M, Li Y, Qin Y, Feng L, Peng Z, An Z, Zheng J, Li Z, Feng Z. Influenza Vaccine Effectiveness in Mainland China: A Systematic Review and Meta-Analysis. Vaccines (Basel) 2021; 9:vaccines9020079. [PMID: 33498688 PMCID: PMC7912587 DOI: 10.3390/vaccines9020079] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2020] [Revised: 01/20/2021] [Accepted: 01/20/2021] [Indexed: 12/03/2022] Open
Abstract
Influenza endangers human health but can be prevented in part by vaccination. Assessing influenza vaccine effectiveness (VE) provides scientific evidence for developing influenza vaccination policy. We conducted a systematic review and meta-analysis of studies that evaluated influenza VE in mainland China. We searched six relevant databases as of 30 August 2019 to identify studies and used Review Manager 5.3 software to analyze the included studies. The Newcastle–Ottawa scale was used to assess the risk of publication bias. We identified 1408 publications, and after removing duplicates and screening full texts, we included 21 studies in the analyses. Studies were conducted in Beijing, Guangzhou, Suzhou, and Zhejiang province from the 2010/11 influenza season through the 2017/18 influenza season. Overall influenza VE for laboratory confirmed influenza was 36% (95% CI: 25–46%). In the subgroup analysis, VE was 45% (95% CI: 18–64%) for children 6–35 months who received one dose of influenza vaccine, and 57% (95% CI: 50–64%) who received two doses. VE was 47% (95% CI: 39–54%) for children 6 months to 8 years, and 18% (95% CI: 0–33%) for adults ≥60 years. For inpatients, VE was 21% (95% CI: −11–44%). We conclude that influenza vaccines that were used in mainland China had a moderate effectiveness, with VE being higher among children than the elderly. Influenza VE should be continuously monitored in mainland China to provide evidence for policy making and improving uptake of the influenza vaccine.
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Affiliation(s)
- Xiaokun Yang
- Division of Infectious Disease, Key Laboratory of Surveillance and Early-Warning on Infectious Disease, Chinese Center for Disease Control and Prevention, Beijing 102206, China; (X.Y.); (H.Z.); (Z.L.); (M.R.); (M.G.); (Y.L.); (Y.Q.); (Z.P.)
| | - Hongting Zhao
- Division of Infectious Disease, Key Laboratory of Surveillance and Early-Warning on Infectious Disease, Chinese Center for Disease Control and Prevention, Beijing 102206, China; (X.Y.); (H.Z.); (Z.L.); (M.R.); (M.G.); (Y.L.); (Y.Q.); (Z.P.)
| | - Zhili Li
- Division of Infectious Disease, Key Laboratory of Surveillance and Early-Warning on Infectious Disease, Chinese Center for Disease Control and Prevention, Beijing 102206, China; (X.Y.); (H.Z.); (Z.L.); (M.R.); (M.G.); (Y.L.); (Y.Q.); (Z.P.)
| | - Aiqin Zhu
- Division of Infectious Disease Prevention and Disinfection Management, Shanghai Pudong New Area Center for Disease Control and Prevention, Shanghai 200136, China;
| | - Minrui Ren
- Division of Infectious Disease, Key Laboratory of Surveillance and Early-Warning on Infectious Disease, Chinese Center for Disease Control and Prevention, Beijing 102206, China; (X.Y.); (H.Z.); (Z.L.); (M.R.); (M.G.); (Y.L.); (Y.Q.); (Z.P.)
| | - Mengjie Geng
- Division of Infectious Disease, Key Laboratory of Surveillance and Early-Warning on Infectious Disease, Chinese Center for Disease Control and Prevention, Beijing 102206, China; (X.Y.); (H.Z.); (Z.L.); (M.R.); (M.G.); (Y.L.); (Y.Q.); (Z.P.)
| | - Yu Li
- Division of Infectious Disease, Key Laboratory of Surveillance and Early-Warning on Infectious Disease, Chinese Center for Disease Control and Prevention, Beijing 102206, China; (X.Y.); (H.Z.); (Z.L.); (M.R.); (M.G.); (Y.L.); (Y.Q.); (Z.P.)
| | - Ying Qin
- Division of Infectious Disease, Key Laboratory of Surveillance and Early-Warning on Infectious Disease, Chinese Center for Disease Control and Prevention, Beijing 102206, China; (X.Y.); (H.Z.); (Z.L.); (M.R.); (M.G.); (Y.L.); (Y.Q.); (Z.P.)
| | - Luzhao Feng
- School of Population Medicine and Public Health, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China;
| | - Zhibin Peng
- Division of Infectious Disease, Key Laboratory of Surveillance and Early-Warning on Infectious Disease, Chinese Center for Disease Control and Prevention, Beijing 102206, China; (X.Y.); (H.Z.); (Z.L.); (M.R.); (M.G.); (Y.L.); (Y.Q.); (Z.P.)
| | - Zhijie An
- National Immunization Program, Chinese Center for Disease Control and Prevention, Beijing 102206, China;
| | - Jiandong Zheng
- Division of Infectious Disease, Key Laboratory of Surveillance and Early-Warning on Infectious Disease, Chinese Center for Disease Control and Prevention, Beijing 102206, China; (X.Y.); (H.Z.); (Z.L.); (M.R.); (M.G.); (Y.L.); (Y.Q.); (Z.P.)
- Correspondence: (J.Z.); (Z.L.); (Z.F.); Tel.: +86-010-5890-0541 (J.Z.); +86-010-5890-0543 (Z.L.); +86-010-5890-0309 (Z.F.)
| | - Zhongjie Li
- Division of Infectious Disease, Key Laboratory of Surveillance and Early-Warning on Infectious Disease, Chinese Center for Disease Control and Prevention, Beijing 102206, China; (X.Y.); (H.Z.); (Z.L.); (M.R.); (M.G.); (Y.L.); (Y.Q.); (Z.P.)
- Correspondence: (J.Z.); (Z.L.); (Z.F.); Tel.: +86-010-5890-0541 (J.Z.); +86-010-5890-0543 (Z.L.); +86-010-5890-0309 (Z.F.)
| | - Zijian Feng
- Chinese Center for Disease Control and Prevention, Beijing 102206, China
- Correspondence: (J.Z.); (Z.L.); (Z.F.); Tel.: +86-010-5890-0541 (J.Z.); +86-010-5890-0543 (Z.L.); +86-010-5890-0309 (Z.F.)
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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: 25] [Impact Index Per Article: 8.3] [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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Zhang W, Gao J, Chen L, Tian J, Biggerstaff M, Zhou S, Situ S, Wang Y, Zhang J, Millman AJ, Greene CM, Zhang T, Zhao G. Estimated influenza illnesses and hospitalizations averted by influenza vaccination among children aged 6-59 months in Suzhou, China, 2011/12 to 2015/16 influenza seasons. Vaccine 2020; 38:8200-8205. [PMID: 33176936 PMCID: PMC7728434 DOI: 10.1016/j.vaccine.2020.10.069] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2020] [Revised: 10/17/2020] [Accepted: 10/21/2020] [Indexed: 01/14/2023]
Abstract
BACKGROUND There are few estimates of vaccination-averted influenza-associated illnesses in China. METHODS We used a mathematical model and Monte Carlo algorithm to estimate numbers and 95% confidence intervals (CI) of influenza-associated outcomes (hospitalization, illness, and medically-attended (MA) illness) averted by vaccination among children aged 6-59 months in Suzhou from October 2011-September 2016. Influenza illnesses included non-hospitalized MA influenza illnesses and non-MA influenza illnesses. The numbers of influenza-associated outcomes averted by vaccination were the difference between the expected burden if there were no vaccination given and the observed burden with vaccination. The model incorporated the disease burden estimated based on surveillance data from Suzhou University Affiliated Children's Hospital (SCH) and data from health utilization surveys conducted in the catchment area of SCH, age-specific estimates of influenza vaccination coverage in Suzhou from the Expanded Program on Immunization database, and influenza vaccine effectiveness estimates from previous publications. Averted influenza estimations were presented as absolute numbers and in terms of the prevented fraction (PF). A hypothetical scenario with 50% coverage (but identical vaccine effectiveness) over the study period was also modeled. RESULTS In ~250,000 children, influenza vaccination prevented an estimated 731 (CI: 549-960) influenza hospitalizations (PF: 6.2% of expected, CI: 5.8-6.6%) and 10,024 (7593-12,937) influenza illnesses (PF: 6.5%, 6.4-6.7%), of which 8342 (6338-10,768) were MA (PF: 6.6%, 6.4-6.7%) from 2011 to 2016. The PFs declined each year along with decreasing influenza vaccination coverage. If 50% of the study population had been vaccinated over time, the estimated numbers of averted cases during the study period would have been 4059 (3120-5762) influenza hospitalizations (PF: 27.2%, 26.4-27.9%) and 56,215 (42,925-78,849) influenza illnesses (PF: 28.5%, 28.3-28.7%), of which 46,596 (35,662-65,234) would be MA (PF: 28.5%, 28.3-28.7%). CONCLUSION Influenza vaccination is estimated to have averted influenza-associated illness outcomes even with low coverage in children aged 6-59 months in Suzhou. Increasing influenza vaccination coverage in this population could further reduce illnesses and hospitalizations.
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Affiliation(s)
- Wanqing Zhang
- Department of Epidemiology, School of Public Health, Fudan University, Key Laboratory of Public Health Safety, Ministry of Education, Shanghai, China
| | - Junmei Gao
- Department of Epidemiology, School of Public Health, Fudan University, Key Laboratory of Public Health Safety, Ministry of Education, Shanghai, China
| | - Liling Chen
- Suzhou Center for Disease Control and Prevention, Suzhou, China
| | - Jianmei Tian
- Suzhou University Affiliated Children's Hospital, Suzhou, China
| | - Matthew Biggerstaff
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Suizan Zhou
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Sujian Situ
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Yin Wang
- Department of Epidemiology, School of Public Health, Fudan University, Key Laboratory of Public Health Safety, Ministry of Education, Shanghai, China
| | - Jun Zhang
- Suzhou Center for Disease Control and Prevention, Suzhou, China
| | - Alexander J Millman
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Carolyn M Greene
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Tao Zhang
- Department of Epidemiology, School of Public Health, Fudan University, Key Laboratory of Public Health Safety, Ministry of Education, Shanghai, China.
| | - Genming Zhao
- Department of Epidemiology, School of Public Health, Fudan University, Key Laboratory of Public Health Safety, Ministry of Education, Shanghai, China.
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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: 1.5] [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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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: 85] [Impact Index Per Article: 21.3] [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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10
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Fu C, Greene CM, He Q, Liao Y, Wan Y, Shen J, Rong C, Zhou S. Dose effect of influenza vaccine on protection against laboratory-confirmed influenza illness among children aged 6 months to 8 years of age in southern China, 2013/14-2015/16 seasons: a matched case-control study. Hum Vaccin Immunother 2019; 16:595-601. [PMID: 31486333 DOI: 10.1080/21645515.2019.1662267] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022] Open
Abstract
Background We conducted a matched case-control study in China during the 2013/14-2015/16 influenza seasons to estimate influenza vaccine effectiveness (VE) by dose among children aged 6 months to 8 years.Methods Cases were laboratory-confirmed influenza infections identified through the influenza-like illness sentinel surveillance network in Guangzhou. Age- and sex-matched community controls were randomly selected through the expanded immunization program database. We defined priming as receipt of ≥1 dose of influenza vaccine during the immediate prior season.Results In total, 4,185 case-control pairs were analyzed. Among children 6-35 months, VE for current season dose(s) across the three seasons during 2013/14-2015/16 were 59% (95% Confidence Interval: 44-71%), 12% (-11%,30%), 54% (32-69%); among unprimed children 6-35 months, VE for 1 vs 2 current season doses were 45% (8-67%) vs 65% (46-78%), -2% (-53%,32%) vs 19% (-11%,40%), and 37% (-24%,68%) vs 61% (32-78%). Among children aged 3-8 years, VE for current season dose(s) across study seasons were 62% (36-78%), 43% (22-58%), 32% (1-53%). VE for unprimed children receiving 1 dose only in current season was insignificant or lower than among all children.Conclusion Findings support utility of providing second dose ("booster dose") of seasonal influenza vaccine to unprimed children aged 6-35 months, and the need to study further dose effect of a booster dose among unprimed children aged 3-8 years in China.
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Affiliation(s)
- Chuanxi Fu
- School of Public Health, Zhejiang Chinese Medical University, Hangzhou, China
| | - Carolyn M Greene
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Qing He
- Department of Infectious Disease control and Prevention, Guangzhou Center for Disease Control and Prevention, Guangzhou, China
| | - Ying Liao
- School of Public Health, Southern Medical University, Guangzhou, China
| | - Yanmin Wan
- Huashan Hospital, Fudan University, Shanghai, China
| | - Jichuan Shen
- Department of Infectious Disease control and Prevention, Guangzhou Center for Disease Control and Prevention, Guangzhou, China
| | - Chao Rong
- School of Public Health, Zhejiang Chinese Medical University, Hangzhou, China
| | - Suizan Zhou
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, GA, USA
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11
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The effectiveness of influenza vaccination among nursery school children in China during the 2016/17 influenza season. Vaccine 2018; 36:2456-2461. [DOI: 10.1016/j.vaccine.2018.03.039] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2017] [Revised: 03/10/2018] [Accepted: 03/14/2018] [Indexed: 11/19/2022]
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12
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Wang Y, Chen L, Cheng Y, Zhou S, Pang Y, Zhang J, Greene CM, Song Y, Zhang T, Zhao G. Potential impact of B lineage mismatch on trivalent influenza vaccine effectiveness during the 2015-2016 influenza season among nursery school children in Suzhou, China. Hum Vaccin Immunother 2018; 14:630-636. [PMID: 29090968 PMCID: PMC5861792 DOI: 10.1080/21645515.2017.1397868] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2017] [Revised: 10/04/2017] [Accepted: 10/24/2017] [Indexed: 10/18/2022] Open
Abstract
BACKGROUND We actively followed a cohort of nursery school children in Suzhou, China to assess the impact of vaccination with trivalent influenza vaccine on the prevention of influenza like illness (ILI). METHODS We enrolled children aged 36 to 72 months from 13 nursery schools in Suzhou starting two weeks after vaccination during October 2015-February 2016. Every school-day, teachers reported the names of students with ILI to study clinicians, who collected the student's nasopharyngeal swab or throat swab, either at a study clinic or the child's home. Swabs were sent to the Suzhou Center for Disease Control and Prevention's laboratory for influenza testing by RT-PCR. RESULTS In total, 3278 children were enrolled; 83 (3%) were lost to follow-up, while 3195 (vaccinated: 1492, unvaccinated: 1703) were followed for 24 weeks. During the study, 40 samples tested positive; 17 in the vaccinated (B Victoria: 12; A(H1N1)pdm09: 5) and 23 in the unvaccinated group (B Victoria: 10; B Yamagata: 2; A(H1N1)pdm09: 11). The VE estimates were: 16% overall (95%CI:-58%,56%), 48% (-47%,84%) for influenza A(H1N1)pdm09, 43% (-650%,98%) for influenza B Yamagata, and -37% (-227%,42%) for influenza B Victoria. Data were analyzed by vaccinated and unvaccinated groups based on enrollees' vaccination records. CONCLUSIONS The VE for A(H1N1)pdm09 was moderate but not significant. Mismatching of B lineage may have compromised trivalent influenza vaccine effectiveness during the 2015-2016 influenza season among nursery school children in Suzhou, China. Additional larger studies are warranted to inform policy related to quadrivalent influenza vaccine licensure in China in the future.
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Affiliation(s)
- Yin Wang
- Department of Epidemiology, School of Public Health, Fudan University, Key Laboratory of Public Health Safety, Ministry of Education, Shanghai, China
| | - Liling Chen
- Department of Infectious Diseases Prevention, Suzhou Center for Disease Prevention and Control, Suzhou, China
| | - Yuejia Cheng
- Department of Epidemiology, School of Public Health, Fudan University, Key Laboratory of Public Health Safety, Ministry of Education, Shanghai, China
| | - Suizan Zhou
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Yuanyuan Pang
- Department of Infectious Diseases Prevention, Suzhou Center for Disease Prevention and Control, Suzhou, China
| | - Jun Zhang
- Administrating office, Suzhou Center for Disease Control and Prevention, Suzhou, China
| | - Carolyn M. Greene
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Ying Song
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Tao Zhang
- Department of Epidemiology, School of Public Health, Fudan University, Key Laboratory of Public Health Safety, Ministry of Education, Shanghai, China
| | - Genming Zhao
- Department of Epidemiology, School of Public Health, Fudan University, Key Laboratory of Public Health Safety, Ministry of Education, Shanghai, China
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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: 24] [Impact Index Per Article: 3.4] [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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14
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Different Repeat Annual Influenza Vaccinations Improve the Antibody Response to Drifted Influenza Strains. Sci Rep 2017; 7:5258. [PMID: 28701762 PMCID: PMC5507920 DOI: 10.1038/s41598-017-05579-4] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2017] [Accepted: 05/31/2017] [Indexed: 11/16/2022] Open
Abstract
Seasonal influenza vaccine formulas change almost every year yet information about how this affects the antibody repertoire of vaccine recipients is inadequate. New vaccine virus strains are selected, replacing older strains to better match the currently circulating strains. But even while the vaccine is being manufactured the circulating strains can evolve. The ideal response to a seasonal vaccine would maintain antibodies toward existing strains that might continue to circulate, and to generate cross-reactive antibodies, particularly towards conserved influenza epitopes, potentially limiting infections caused by newly evolving strains. Here we use the hemagglutination inhibition assay to analyze the antibody repertoire in subjects vaccinated two years in a row with either identical vaccine virus strains or with differing vaccine virus strains. The data indicates that changing the vaccine formulation results in an antibody repertoire that is better able to react with strains emerging after the vaccine virus strains are selected. The effect is observed for both influenza A and B strains in groups of subjects vaccinated in three different seasons. Analyses include stratification by age and sex.
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