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Nunes M, Chauvel C, Raboni S, López‐Labrador F, Andrew M, Badar N, Baillie V, Bal A, Baral K, Baumeister E, Boutros C, Burtseva E, Coulibaly D, Cowling B, Danilenko D, Dbaibo G, Destras G, Dia N, Drăgănescu A, Giamberardino H, Gomez‐Camargo D, Josset L, Koul P, Kyncl J, Laguna‐Torres V, Launay O, Nugyen L, McNeil S, Medić S, Mira‐Iglesias A, Mironenko A, Nitsch‐Osuch A, Orrico‐Sánchez A, Otieno N, Regue H, Ruiz‐Palacios G, Salah A, Salman M, Săndulescu O, Simon V, Sominina A, Sordillo E, Tanriover M, Unal S, van Bakel H, Vanhems P, Zhang T, Commaille‐Chapus C, Hunsinger C, Bresee J, Lina B, McCauley J, Ortiz J, Viboud C, Zhang W, Torcel‐Pagnon L, Mahe C, Chaves S. The Global Influenza Hospital Surveillance Network: A Multicountry Public Health Collaboration. Influenza Other Respir Viruses 2025; 19:e70091. [PMID: 40082217 PMCID: PMC11906252 DOI: 10.1111/irv.70091] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2025] [Revised: 02/28/2025] [Accepted: 03/01/2025] [Indexed: 03/16/2025] Open
Abstract
Respiratory viruses represent a significant public health threat. There is the need for robust and coordinated surveillance to guide global health responses. Established in 2012, the Global Influenza Hospital Surveillance Network (GIHSN) addresses this need by collecting clinical and virological data on persons with acute respiratory illnesses across a network of hospitals worldwide. GIHSN utilizes a standardized patient enrolment and data collection protocol across its study sites. It leverages pre-existing national infrastructures and expert collaborations to facilitate comprehensive data collection. This includes demographic, clinical, epidemiological, and virologic data, and whole genome sequencing (WGS) for a subset of viruses. Sequencing data are shared in the Global Initiative on Sharing All Influenza Data (GISAID). GIHSN uses financing and governance approaches centered around public-private partnerships. Over time, GIHSN has included more than 100 hospitals across 27 countries and enrolled more than 168,000 hospitalized patients, identifying 27,562 cases of influenza and 44,629 of other respiratory viruses. GIHSN has expanded beyond influenza to include other respiratory viruses, particularly since the COVID-19 pandemic. In November 2023, GIHSN strengthened its global impact through a memorandum of understanding with the World Health Organization, aimed at enhancing collaborative efforts and data sharing for improved health responses. GIHSN exemplifies the value of integrating scientific research with public health initiatives through global collaboration and public-private partnerships governance. Future efforts should enhance the scalability of such models and ensure their sustainability through continued public and private support.
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Affiliation(s)
- Marta C. Nunes
- Center of Excellence in Respiratory Pathogens (CERP), Hospices Civils de Lyon (HCL) and Centre International de Recherche en Infectiologie (CIRI), Équipe Santé Publique, Épidémiologie et Écologie Évolutive des Maladies Infectieuses (PHE3ID), Inserm U1111, CNRS UMR5308, ENS de LyonUniversité Claude Bernard Lyon 1 (UCBL Lyon 1)LyonFrance
| | - Cecile Chauvel
- Center of Excellence in Respiratory Pathogens (CERP), Hospices Civils de Lyon (HCL) and Centre International de Recherche en Infectiologie (CIRI), Équipe Santé Publique, Épidémiologie et Écologie Évolutive des Maladies Infectieuses (PHE3ID), Inserm U1111, CNRS UMR5308, ENS de LyonUniversité Claude Bernard Lyon 1 (UCBL Lyon 1)LyonFrance
| | - Sonia M. Raboni
- Molecular Biology/Microbiology Research LaboratoryUniversidade Federal do ParanáCuritibaBrazil
| | | | | | | | - Vicky Baillie
- South African Medical Research Council, Vaccines & Infectious Diseases Analytics (VIDA) Research Unit, Faculty of Health SciencesUniversity of the WitwatersrandJohannesburgSouth Africa
| | - Antonin Bal
- HCL and CIRI, Inserm U1111, CNRS UMR5308, ENS de Lyon, UCBL Lyon 1LyonFrance
| | | | - Elsa Baumeister
- National Reference Laboratory for Viral Respiratory Diseases, Virology DepartmentINEI‐ANLISBuenos AiresArgentina
| | - Celina Boutros
- Center for Infectious Diseases ResearchAmerican University of BeirutBeirutLebanon
| | - Elena Burtseva
- Gamaleya National Research Center for Epidemiology and MicrobiologyMinistry of Health of Russian FederationMoscowRussia
| | | | - Ben Cowling
- School of Public Health University of Hong KongHong KongChina
| | - Daria Danilenko
- Smorodintsev Research Institute of InfluenzaSaint PetersburgRussia
| | - Ghassan Dbaibo
- Center for Infectious Diseases ResearchAmerican University of BeirutBeirutLebanon
| | - Gregory Destras
- HCL and CIRI, Inserm U1111, CNRS UMR5308, ENS de Lyon, UCBL Lyon 1LyonFrance
| | | | | | | | - Doris Gomez‐Camargo
- Grupo de Investigación UNIMOL, Facultad de Medicina, Universidad de CartagenaCartagena de IndiasColombia
| | - Laurence Josset
- HCL and CIRI, Inserm U1111, CNRS UMR5308, ENS de Lyon, UCBL Lyon 1LyonFrance
| | | | - Jan Kyncl
- National Institute of Public HealthPragueCzech Republic
| | | | - Odile Launay
- Université Paris Cité, Assistance Publique ‐ Hôpitaux de Paris (AP‐HP), CIC Vaccinologie Cochin Pasteur, Hôpital Cochin, Inserm, FCRIN, I REIVACParisFrance
| | | | - Shelly McNeil
- The CIRN Serious Outcomes Surveillance (SOS) NetworkHalifaxCanada
| | - Snežana Medić
- Department of Epidemiology, Faculty of MedicineUniversity of Novi SadNovi SadSerbia
| | | | - Alla Mironenko
- SI Kyiv City Center for Diseases Control and Prevention of the Ministry of Health of UkraineKyivUkraine
| | | | | | | | | | | | | | | | | | - Viviana Simon
- Icahn School of Medicine at Mount SinaiNew YorkNew YorkUSA
| | - Anna Sominina
- Smorodintsev Research Institute of InfluenzaSaint PetersburgRussia
| | | | | | - Serhat Unal
- Department of Infectious Diseases and Clinical MicrobiologyHacettepe University School of MedicineAnkaraTürkiye
| | - Harm van Bakel
- Icahn School of Medicine at Mount SinaiNew YorkNew YorkUSA
| | - Philippe Vanhems
- HCL and CIRI, Épidémiologie et Écologie Évolutive des Maladies Infectieuses (PHE3ID), Inserm U1111, CNRS UMR5308, ENS de Lyon, UCBL Lyon 1LyonFrance
| | - Tao Zhang
- School of Public HealthFudan UniversityShanghaiChina
| | | | | | - Joseph Bresee
- Partnership for International Vaccine Initiatives, The Task Force for Global HealthDecaturGeorgiaUSA
| | - Bruno Lina
- HCL and CIRI, Inserm U1111, CNRS UMR5308, ENS de Lyon, UCBL Lyon 1LyonFrance
| | | | - Justin R. Ortiz
- Center for Vaccine Development and Global HealthUniversity of Maryland School of MedicineBaltimoreMarylandUSA
| | - Cecile Viboud
- Division of International Epidemiology and Population Studies, Fogarty International CenterNational Institutes of HealthBethesdaMarylandUSA
| | | | | | - Cedric Mahe
- Foundation for Influenza EpidemiologyFondation de FranceParisFrance
| | - Sandra S. Chaves
- Foundation for Influenza EpidemiologyFondation de FranceParisFrance
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Mengual-Chuliá B, Tamayo-Trujillo R, Mira-Iglesias A, Cano L, García-Esteban S, Ferrús ML, Puig-Barberà J, Díez-Domingo J, López-Labrador FX. Enterovirus D68 disease burden and epidemiology in hospital-admitted influenza-like illness, Valencia region of Spain, 2014-2020 influenza seasons. J Med Virol 2024; 96:e29810. [PMID: 39049549 DOI: 10.1002/jmv.29810] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2023] [Revised: 05/15/2024] [Accepted: 07/02/2024] [Indexed: 07/27/2024]
Abstract
Enterovirus D68 (EV-D68) is an emerging agent for which data on the susceptible adult population is scarce. We performed a 6-year analysis of respiratory samples from influenza-like illness (ILI) admitted during 2014-2020 in 4-10 hospitals in the Valencia Region, Spain. EV-D68 was identified in 68 (3.1%) among 2210 Enterovirus (EV)/Rhinovirus (HRV) positive samples. Phylogeny of 59 VP1 sequences showed isolates from 2014 clustering in B2 (6/12), B1 (5/12), and A2/D1 (1/12) subclades; those from 2015 (n = 1) and 2016 (n = 1) in B3 and A2/D1, respectively; and isolates from 2018 in A2/D3 (42/45), and B3 (3/45). B1 and B2 viruses were mainly detected in children (80% and 67%, respectively); B3 were equally distributed between children and adults; whereas A2/D1 and A2/D3 were observed only in adults. B3 viruses showed up to 16 amino acid changes at predicted antigenic sites. In conclusion, two EV-D68 epidemics linked to ILI hospitalized cases occurred in the Valencia Region in 2014 and 2018, with three fatal outcomes and one ICU admission. A2/D3 strains from 2018 were associated with severe respiratory infection in adults. Because of the significant impact of non-polio enteroviruses in ILI and the potential neurotropism, year-round surveillance in respiratory samples should be pursued.
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Affiliation(s)
- Beatriz Mengual-Chuliá
- Virology Laboratory, Genomics and Health Area, Fundación para el Fomento de la Investigación Sanitaria y Biomédica de la Comunitat Valenciana (FISABIO-Public Health), Valencia, Spain
- CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain
| | - Rafael Tamayo-Trujillo
- Centro de Investigación Genética y Genómica, Facultad de Ciencias de la Salud Eugenio Espejo, Universidad UTE, Quito, Ecuador
| | - Ainara Mira-Iglesias
- CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain
- Vaccine Research Area, Fundación para el Fomento de la Investigación Sanitaria y Biomédica de la Comunitat Valenciana (FISABIO-Public Health), Valencia, Spain
| | - Laura Cano
- Virology Laboratory, Genomics and Health Area, Fundación para el Fomento de la Investigación Sanitaria y Biomédica de la Comunitat Valenciana (FISABIO-Public Health), Valencia, Spain
| | - Sandra García-Esteban
- Virology Laboratory, Genomics and Health Area, Fundación para el Fomento de la Investigación Sanitaria y Biomédica de la Comunitat Valenciana (FISABIO-Public Health), Valencia, Spain
| | - Maria Loreto Ferrús
- Virology Laboratory, Genomics and Health Area, Fundación para el Fomento de la Investigación Sanitaria y Biomédica de la Comunitat Valenciana (FISABIO-Public Health), Valencia, Spain
| | - Joan Puig-Barberà
- Vaccine Research Area, Fundación para el Fomento de la Investigación Sanitaria y Biomédica de la Comunitat Valenciana (FISABIO-Public Health), Valencia, Spain
| | - Javier Díez-Domingo
- CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain
- Vaccine Research Area, Fundación para el Fomento de la Investigación Sanitaria y Biomédica de la Comunitat Valenciana (FISABIO-Public Health), Valencia, Spain
| | - F Xavier López-Labrador
- Virology Laboratory, Genomics and Health Area, Fundación para el Fomento de la Investigación Sanitaria y Biomédica de la Comunitat Valenciana (FISABIO-Public Health), Valencia, Spain
- CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain
- Department of Microbiology & Ecology, Medical School, University of Valencia, Valencia, Spain
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Lina B, Georges A, Burtseva E, Nunes MC, Andrew MK, McNeil SA, Ruiz-Palacios GM, Feng L, Kyncl J, Vanhems P, Ortiz JR, Paget J, Reiner RC. Complicated hospitalization due to influenza: results from the Global Hospital Influenza Network for the 2017-2018 season. BMC Infect Dis 2020; 20:465. [PMID: 32615985 PMCID: PMC7330273 DOI: 10.1186/s12879-020-05167-4] [Citation(s) in RCA: 31] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2020] [Accepted: 06/17/2020] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Since 2011, the Global Influenza Hospital Surveillance Network (GIHSN) has used active surveillance to prospectively collect epidemiological and virological data on patients hospitalized with influenza virus infection. Here, we describe influenza virus strain circulation in the GIHSN participant countries during 2017-2018 season and examine factors associated with complicated hospitalization among patients admitted with laboratory-confirmed influenza illness. METHODS The study enrolled patients who were hospitalized in a GIHSN hospital in the previous 48 h with acute respiratory symptoms and who had symptoms consistent with influenza within the 7 days before admission. Enrolled patients were tested by reverse transcription-polymerase chain reaction to confirm influenza virus infection. "Complicated hospitalization" was defined as a need for mechanical ventilation, admission to an intensive care unit, or in-hospital death. In each of four age strata (< 15, 15-< 50, 50-< 65, and ≥ 65 years), factors associated with complicated hospitalization in influenza-positive patients were identified by mixed effects logistic regression and those associated with length of hospital stay using a linear mixed-effects regression model. RESULTS The study included 12,803 hospitalized patients at 14 coordinating sites in 13 countries, of which 4306 (34%) tested positive for influenza. Influenza viruses B/Yamagata, A/H3N2, and A/H1N1pdm09 strains dominated and cocirculated, although the dominant strains varied between sites. Complicated hospitalization occurred in 10.6% of influenza-positive patients. Factors associated with complicated hospitalization in influenza-positive patients included chronic obstructive pulmonary disease (15-< 50 years and ≥ 65 years), diabetes (15-< 50 years), male sex (50-< 65 years), hospitalization during the last 12 months (50-< 65 years), and current smoking (≥65 years). Chronic obstructive pulmonary disease (50-< 65 years), other chronic conditions (15-< 50 years), influenza A (50-< 65 years), and hospitalization during the last 12 months (< 15 years) were associated with a longer hospital stay. The proportion of patients with complicated influenza did not differ between influenza A and B. CONCLUSIONS Complicated hospitalizations occurred in over 10% of patients hospitalized with influenza virus infection. Factors commonly associated with complicated or longer hospitalization differed by age group but commonly included chronic obstructive pulmonary disease, diabetes, and hospitalization during the last 12 months.
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Affiliation(s)
- Bruno Lina
- CIRI, Lyon University, Inserm U 1111, Lyon, France.
- Hospices Civils de Lyon, Croix-Rousse University Hospital, Infectious Agents Institute (IAI) Laboratory of Virology-National Reference Center for Respiratory Viruses (Including Influenza), Lyon, France.
- Claude Bernard University (Lyon 1), Lyon, France.
| | | | | | - Marta C Nunes
- Medical Research Council: Respiratory and Meningeal Pathogens Research Unit, School of Pathology, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
- Department of Science and Technology/National Research Foundation: Vaccine Preventable Diseases Unit, University of the Witwatersrand, Johannesburg, South Africa
| | - Melissa K Andrew
- Canadian Center for Vaccinology, IWK Health Centre and Nova Scotia Health Authority, Dalhousie University, Halifax, Canada
| | - Shelly A McNeil
- Canadian Center for Vaccinology, IWK Health Centre and Nova Scotia Health Authority, Dalhousie University, Halifax, Canada
| | | | - Luzhao Feng
- Division of Infectious Diseases, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Jan Kyncl
- National Institute of Public Health, Prague, Czech Republic
| | - Philippe Vanhems
- Groupement Hospitalier Edouard Herriot, Unité d'Hygiène, Epidémiologie et Prévention, Hospices Civils de Lyon, Lyon, France
- Emerging Pathogens Laboratory - Epidemiology and International Health, Fondation Mérieux, Centre International de Recherche en Infectiologie (CIRI), Lyon, France
- Inserm, F-CRIN, Innovative Clinical Research Network in Vaccinology (I-REIVAC), CIC, 1417, Paris, France
| | - Justin R Ortiz
- Center for Vaccine Development and Global Health, University of Maryland School of Medicine, Baltimore, MD, USA
| | - John Paget
- Netherlands Institute for Health Services Research (NIVEL), Utrecht, The Netherlands
| | - Robert C Reiner
- Institute of Health Metrics and Evaluation, Department of Health Metrics Sciences, University of Washington, Seattle, WA, USA
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4
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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: 103] [Impact Index Per Article: 20.6] [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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Puig-Barberà J, Mira-Iglesias A, Burtseva E, Cowling BJ, Serhat U, Ruiz-Palacios GM, Launay O, Kyncl J, Koul P, Siqueira MM, Sominina A. Influenza epidemiology and influenza vaccine effectiveness during the 2015-2016 season: results from the Global Influenza Hospital Surveillance Network. BMC Infect Dis 2019; 19:415. [PMID: 31088481 PMCID: PMC6518734 DOI: 10.1186/s12879-019-4017-0] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2018] [Accepted: 04/24/2019] [Indexed: 01/28/2023] Open
Abstract
BACKGROUND The Global Influenza Hospital Surveillance Network is an international platform whose primary objective is to study severe cases of influenza requiring hospitalization. METHODS During the 2015-2016 influenza season, 11 sites in the Global Influenza Hospital Surveillance Network in nine countries (Russian Federation, Czech Republic, Turkey, France, China, Spain, Mexico, India, and Brazil) participated in a prospective, active-surveillance, hospital-based epidemiological study. Influenza infection was confirmed by reverse transcription-polymerase chain reaction. Influenza vaccine effectiveness (IVE) against laboratory-confirmed influenza was estimated using a test-negative approach. RESULTS 9882 patients with laboratory results were included of which 2415 (24.4%) were positive for influenza, including 1415 (14.3%) for A(H1N1)pdm09, 235 (2.4%) for A(H3N2), 180 (1.8%) for A not subtyped, 45 (0.5%) for B/Yamagata-lineage, 532 (5.4%) for B/Victoria-lineage, and 33 (0.3%) for B not subtyped. Of included admissions, 39% were < 5 years of age and 67% had no underlying conditions. The odds of being admitted with influenza were higher among pregnant than non-pregnant women (odds ratio, 2.82 [95% confidence interval (CI), 1.90 to 4.19]). Adjusted IVE against influenza-related hospitalization was 16.3% (95% CI, 0.4 to 29.7). Among patients targeted for influenza vaccination, adjusted IVE against hospital admission with influenza was 16.2% (95% CI, - 3.6 to 32.2) overall, 23.0% (95% CI, - 3.3 to 42.6) against A(H1N1)pdm09, and - 25.6% (95% CI, - 86.3 to 15.4) against B/Victoria lineage. CONCLUSIONS The 2015-2016 influenza season was dominated by A(H1N1)pdm09 and B/Victoria-lineage. Hospitalization with influenza often occurred in healthy and young individuals, and pregnant women were at increased risk of influenza-related hospitalization. Influenza vaccines provided low to moderate protection against hospitalization with influenza and no protection against the predominant circulating B lineage, highlighting the need for more effective and broader influenza vaccines.
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Affiliation(s)
- Joan Puig-Barberà
- Fundación para el Fomento de la Investigación Sanitaria y Biomédica de la Comunidad Valenciana, FISABIO, Valencia, Spain
| | - Ainara Mira-Iglesias
- Fundación para el Fomento de la Investigación Sanitaria y Biomédica de la Comunidad Valenciana, FISABIO, Valencia, Spain
| | - Elena Burtseva
- Ivanovsky Institute of Virology FSBI “N.F, Gamaleya NRCEM” Ministry of Health, Moscow, Russian Federation
| | - Benjamin J. Cowling
- School of Public Health, Li Ka Shing Faculty of Medicine, Hong Kong, Hong Kong, Special Administrative Region of China
| | - Unal Serhat
- Turkish Society of Internal Medicine, Ankara, Turkey
| | - Guillermo Miguel Ruiz-Palacios
- Salvador Zubirán National Institute of Medical Sciences and Nutrition (INCMNSZ), Vasco de Quiroga 15, Belisario Domínguez Sección 16, 14080 Tlalpan, CDMX Mexico
| | - Odile Launay
- INSERM, F-CRIN, Réseau National d’Investigation Clinique en Vaccinologie (I-REIVAC), CIC Cochin Pasteur, Paris, France and Université Paris Descartes, Sorbonne Paris Cité and Assistance Publique Hôpitaux de Paris, Hôpital Cochin, Paris, France
| | - Jan Kyncl
- National Institute of Public Health, Prague, Czech Republic
| | - Parvaiz Koul
- Department of Internal and Pulmonary Medicine, Sher-i-Kashmir Institute of Medical Sciences (SKIMS), Soura, Bemina, Srinagar, Jammu & Kashmir 190011 India
| | | | - Anna Sominina
- Research Institute of Influenza, WHO National Influenza Centre of Russia and Ministry of Healthcare of the Russian Federation, St. Petersburg, Russian Federation
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Baselga-Moreno V, Trushakova S, McNeil S, Sominina A, Nunes MC, Draganescu A, Unal S, Koul P, Kyncl J, Zhang T, Kuatbayeva A, Ben-Salah A, Burtseva E, Puig-Barberà J, Díez-Domingo J. Influenza epidemiology and influenza vaccine effectiveness during the 2016-2017 season in the Global Influenza Hospital Surveillance Network (GIHSN). BMC Public Health 2019; 19:487. [PMID: 31046725 PMCID: PMC6498567 DOI: 10.1186/s12889-019-6713-5] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2018] [Accepted: 03/27/2019] [Indexed: 11/25/2022] Open
Abstract
BACKGROUND The Global Influenza Hospital Surveillance Network (GIHSN) aims to determine the burden of severe influenza disease and Influenza Vaccine Effectiveness (IVE). This is a prospective, active surveillance and hospital-based epidemiological study to collect epidemiological data in the GIHSN. In the 2016-2017 influenza season, 15 sites in 14 countries participated in the GIHSN, although the analyses could not be performed in 2 sites. A common core protocol was used in order to make results comparable. Here we present the results of the GIHSN 2016-2017 influenza season. METHODS A RT-PCR test was performed to all patients that accomplished the requirements detailed on a common core protocol. Patients admitted were included in the study after signing the informed consent, if they were residents, not institutionalised, not discharged in the previous 30 days from other hospitalisation with symptoms onset within the 7 days prior to admission. Patients 5 years old or more must also complied the Influenza-Like Illness definition. A test negative-design was implemented to perform IVE analysis. IVE was estimated using a logistic regression model, with the formula IVE = (1-aOR) × 100, where aOR is the adjusted Odds Ratio comparing cases and controls. RESULTS Among 21,967 screened patients, 10,140 (46.16%) were included, as they accomplished the inclusion criteria, and tested, and therefore 11,827 (53.84%) patients were excluded. Around 60% of all patients included with laboratory results were recruited at 3 sites. The predominant strain was A(H3N2), detected in 63.6% of the cases (1840 patients), followed by B/Victoria, in 21.3% of the cases (618 patients). There were 2895 influenza positive patients (28.6% of the included patients). A(H1N1)pdm09 strain was mainly found in Mexico. IVE could only be performed in 6 sites separately. Overall IVE was 27.24 (95% CI 15.62-37.27. Vaccination seemed to confer better protection against influenza B and in people 2-4 years, or 85 years old or older. The aOR for hospitalized and testing positive for influenza was 3.02 (95% CI 1.59-5.76) comparing pregnant with non-pregnant women. CONCLUSIONS Vaccination prevented around 1 in 4 hospitalisations with influenza. Sparse numbers didn't allow estimating IVE in all sites separately. Pregnancy was found a risk factor for influenza, having 3 times more risk of being admitted with influenza for pregnant women.
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Affiliation(s)
- Víctor Baselga-Moreno
- Fundación para el Fomento de la Investigación Sanitaria y Biomédica de la Comunidad Valenciana (FISABIO), 21 Cataluña Av, 46020 Valencia, Spain
| | - Svetlana Trushakova
- Ivanovsky Institute of Virology FSBI “N.F. Gamaleya FRCEM” Ministry of Health, Moscow, Russian Federation
| | - Shelly McNeil
- Canadian Center for Vaccinology, IWK Health Centre and Nova Scotia Health Authority, Halifax, Canada
| | - Anna Sominina
- Research Institute of Influenza, WHO National Influenza Centre of Russia, St. Petersburg, Russian Federation
| | - Marta C. Nunes
- Medical Research Council, Respiratory and Meningeal Pathogens Research Unit, University of the Witwatersrand, Johannesburg, South Africa
- Department of Science and Technology/National Research Foundation, Vaccine Preventable Diseases, University of the Witwatersrand, Johannesburg, South Africa
| | - Anca Draganescu
- National Institute of Infectious Diseases “Prof. Dr. Matei Bals”, Bucharest (INBI “Prof. Dr. Matei Bals”), București, Romania
| | - Serhat Unal
- Turkish Society of Internal Medicine, Ankara, Turkey
| | - Parvaiz Koul
- Department of Internal and Pulmonary Medicine, Sher-i-Kashmir Institute of Medical Sciences (SKIMS), Soura, India
| | - Jan Kyncl
- National Institute of Public Health, Prague, Czech Republic
| | | | - Ainagul Kuatbayeva
- Center for Sanitary-Epidemiological Expertise and Monitoring, Almaty, Kazakhstan
| | - Afif Ben-Salah
- Pasteur Institute of Tunis, Tunis, Tunisia
- College of Medicine and Medical Sciences, Manama, Bahrain
| | - Elena Burtseva
- Ivanovsky Institute of Virology FSBI “N.F. Gamaleya FRCEM” Ministry of Health, Moscow, Russian Federation
| | - Joan Puig-Barberà
- Fundación para el Fomento de la Investigación Sanitaria y Biomédica de la Comunidad Valenciana (FISABIO), 21 Cataluña Av, 46020 Valencia, Spain
| | - Javier Díez-Domingo
- Fundación para el Fomento de la Investigación Sanitaria y Biomédica de la Comunidad Valenciana (FISABIO), 21 Cataluña Av, 46020 Valencia, Spain
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Cohen R, Babushkin F, Geller K, Finn T. Characteristics of hospitalized adult patients with laboratory documented Influenza A, B and Respiratory Syncytial Virus - A single center retrospective observational study. PLoS One 2019; 14:e0214517. [PMID: 30921408 PMCID: PMC6438521 DOI: 10.1371/journal.pone.0214517] [Citation(s) in RCA: 26] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2018] [Accepted: 03/15/2019] [Indexed: 01/20/2023] Open
Abstract
INTRODUCTION The epidemiology, clinical features and outcomes of hospitalized adult patients with Influenza A (FluA), Influenza B (FluB) and Respiratory Syncytial Virus (RSV) have not been thoroughly compared. The aim of this study was to describe the differences between these viruses during 3 winter seasons. METHODS A retrospective observational study was conducted consisting of all the polymerase chain reaction (PCR)-based diagnoses of FluA, FluB and RSV among adults during 2015-2018, in one regional hospital. Epidemiology, clinical symptoms and outcome-related data were comparatively analyzed. RESULTS Between November 2015 and April 2018, 759 patients were diagnosed with FluA, FluB or RSV. Study cohort included 539 adult patients (306 FluA, 148 FluB and 85 RSV). FluB was predominant during the winter of 2017-18. RSV caused 15.7% of hospitalizations with diagnosed viral infection and in comparison to influenza, had distinct epidemiological, clinical features and outcomes, including older age (74.2 vs 66.2, p = 0.001) and higher rates of co-morbidities; complications including bacterial pneumonia (31 vs 18%, p = 0.02), mechanical ventilation (20 vs 7%, p = 0.001), and viral-related death (13 vs 6.6%, p = 0.04). FluA and FluB had similar epidemiology, clinical symptoms and outcomes, but vaccinated patients were less prone to be hospitalized with FluB as compared with FluA (3 vs 14%, p = 0.001). Paroxysmal atrial fibrillation and falls were common (8.7 and 8.5% respectively). CONCLUSIONS FluA and FluB had similar epidemiological, clinical features and contributed equally to hospitalization burden and complications. RSV had a major impact on hospitalizations, occurring among the more elderly and sick populations and causing significantly worse outcomes, when compared to influenza patients. Vaccination appeared as a protective factor against hospitalizations with FluB as compared with FluA.
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Affiliation(s)
- Regev Cohen
- Infectious Diseases Unit, Sanz Medical Center, Laniado Hospital, Neytanya, Israel
- Ruth and Bruce Rappaport Faculty of Medicine, Technion, Haifa, Israel
| | - Frida Babushkin
- Infectious Diseases Unit, Sanz Medical Center, Laniado Hospital, Neytanya, Israel
| | - Keren Geller
- Infectious Diseases Unit, Sanz Medical Center, Laniado Hospital, Neytanya, Israel
| | - Talya Finn
- Infectious Diseases Unit, Sanz Medical Center, Laniado Hospital, Neytanya, Israel
- Ruth and Bruce Rappaport Faculty of Medicine, Technion, Haifa, Israel
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Trushakova S, Kisteneva L, Guglieri-López B, Mukasheva E, Kruzhkova I, Mira-Iglesias A, Krasnoslobodtsev K, Morozova E, Kolobukhina L, Puig-Barberà J, Burtseva E. Epidemiology of influenza in pregnant women hospitalized with respiratory illness in Moscow, 2012/2013-2015/2016: a hospital-based active surveillance study. BMC Pregnancy Childbirth 2019; 19:72. [PMID: 30770729 PMCID: PMC6377748 DOI: 10.1186/s12884-019-2192-z] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2018] [Accepted: 01/15/2019] [Indexed: 12/18/2022] Open
Abstract
Background To better understand the impact of seasonal influenza in pregnant women we analyzed data collected during four seasons at a hospital for acute respiratory infection that specializes in treating pregnant women. Methods This was a single-center active surveillance study of women 15–44 years of age hospitalized for acute respiratory diseases between 2012/2013 and 2015/2016 in Moscow, Russian Federation. Women had to have been hospitalized within 7 days of the onset of symptoms. Swabs were taken within 48 h of admission, and influenza was detected by reverse transcription-polymerase chain reaction. Results During the four seasons, of the 1992 hospitalized women 1748 were pregnant. Laboratory-confirmed influenza was detected more frequently in pregnant women (825/1748; 47.2%) than non-pregnant women (58/244; 23.8%) (OR for influenza = 2.87 [95% CI, 2.10–3.92]; p < 0.001). This pattern was homogenous across seasons (p = 0.112 by test of homogeneity of equal odds). Influenza A(H1N1)pdm09 was the dominant strain in 2012/2013, A(H3N2) in 2013/2014, B/Yamagata lineage and A(H3N2) in 2014/2015, and A(H1N1)pdm09 in 2015/2016. Influenza-positive pregnant admissions went to the hospital sooner than influenza-negative pregnant admissions (p < 0.001). The risk of influenza increased by 2% with each year of age and was higher in women with underlying conditions (OR = 1.52 [95% CI, 1.16 to 1.99]). Pregnant women positive for influenza were homogeneously distributed by trimester (p = 0.37 for homogeneity; p = 0.49 for trend). Frequencies of stillbirth, delivery, preterm delivery, and caesarean delivery did not significantly differ between influenza-positive and influenza-negative hospitalized pregnant women or between subtypes/lineages. Conclusions Pregnant women are at increased risk for hospitalization due to influenza irrespective of season, circulating viruses, or trimester. Electronic supplementary material The online version of this article (10.1186/s12884-019-2192-z) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Svetlana Trushakova
- Ministry of Health of the Russian Federation, FSBI "N.F. Gamaleya NRCEM", 16, Gamaleya str, Moscow, Russia Moscow, 123098, Russian Federation.
| | - Lidiya Kisteneva
- Ministry of Health of the Russian Federation, FSBI "N.F. Gamaleya NRCEM", 16, Gamaleya str, Moscow, Russia Moscow, 123098, Russian Federation
| | - Beatriz Guglieri-López
- Fundación para el Fomento de la Investigación Sanitaria y Biomédica (FISABIO) de la Comunidad Valenciana, Avda Catalunya 21, 46020, Valencia, Spain
| | - Evgenia Mukasheva
- Ministry of Health of the Russian Federation, FSBI "N.F. Gamaleya NRCEM", 16, Gamaleya str, Moscow, Russia Moscow, 123098, Russian Federation
| | - Irina Kruzhkova
- Ministry of Health of the Russian Federation, FSBI "N.F. Gamaleya NRCEM", 16, Gamaleya str, Moscow, Russia Moscow, 123098, Russian Federation
| | - Ainara Mira-Iglesias
- Fundación para el Fomento de la Investigación Sanitaria y Biomédica (FISABIO) de la Comunidad Valenciana, Avda Catalunya 21, 46020, Valencia, Spain
| | - Kirill Krasnoslobodtsev
- Fundación para el Fomento de la Investigación Sanitaria y Biomédica (FISABIO) de la Comunidad Valenciana, Avda Catalunya 21, 46020, Valencia, Spain
| | - Ekaterina Morozova
- Fundación para el Fomento de la Investigación Sanitaria y Biomédica (FISABIO) de la Comunidad Valenciana, Avda Catalunya 21, 46020, Valencia, Spain
| | - Ludmila Kolobukhina
- Ministry of Health of the Russian Federation, FSBI "N.F. Gamaleya NRCEM", 16, Gamaleya str, Moscow, Russia Moscow, 123098, Russian Federation
| | - Joan Puig-Barberà
- Fundación para el Fomento de la Investigación Sanitaria y Biomédica (FISABIO) de la Comunidad Valenciana, Avda Catalunya 21, 46020, Valencia, Spain
| | - Elena Burtseva
- Ministry of Health of the Russian Federation, FSBI "N.F. Gamaleya NRCEM", 16, Gamaleya str, Moscow, Russia Moscow, 123098, Russian Federation
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9
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Tanriover MD, Bagci Bosi T, Ozisik L, Bilgin E, Güzel Tunçcan Ö, Özgen Ö, Tülek N, Özsoy M, Tezer H, Bedir Demirdağ T, Kara A, Basaranoglu ST, Aykac K, Ozkaya-Parlakay A, Gulhan B, Unal S. Poor outcomes among elderly patients hospitalized for influenza-like illness. Curr Med Res Opin 2018; 34:1201-1207. [PMID: 28918667 DOI: 10.1080/03007995.2017.1381078] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Abstract
BACKGROUND AND OBJECTIVE Global Influenza Hospital Surveillance Network is a worldwide initiative that aims to document the burden of influenza infections among acute admissions and vaccine effectiveness in particular countries. As a partner of this platform, we aimed to determine the frequency of influenza infections among acute admissions with influenza-like illness and the outcomes of enrolled patients during the 2015-2016 influenza season in selected hospitals in Turkey. PATIENTS AND METHODS The investigators screened the hospital admission registries, chart review or available records, and screened all patients hospitalized in the previous 24-48 hours or overnight in the predefined wards or emergency room. A total of 1351 patients were screened for enrollment in five tertiary care referral hospitals in Ankara and 774 patients (57.3% of the initial screened population) were eligible for swabbing. All of the eligible patients who consented were swabbed and tested for influenza with real-time polymerase chain reaction (PCR) based methods. RESULTS Overall, influenza positivity was detected in 142 patients (18.4%). The predominant influenza strain was A H1N1pdm09. Outcomes were worse among elderly patients, regardless of the presence of the influenza virus. Half of the patients over 65 years of age were admitted to the intensive care unit, while one third required any mode of mechanical ventilation and one fourth died in the hospital in that particular episode. CONCLUSION These findings can guide hospitals to plan and prepare for the influenza season. Effective influenza vaccination strategies, particularly aimed at the elderly and adults with chronic diseases, can provide an opportunity for prevention of deaths due to influenza-like illness.
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Affiliation(s)
- Mine Durusu Tanriover
- a Hacettepe University Faculty of Medicine , Department of Internal Medicine , Ankara , Turkey
| | - Tülay Bagci Bosi
- b Hacettepe University Faculty of Medicine , Department of Public Health , Ankara , Turkey
| | - Lale Ozisik
- a Hacettepe University Faculty of Medicine , Department of Internal Medicine , Ankara , Turkey
| | - Emre Bilgin
- a Hacettepe University Faculty of Medicine , Department of Internal Medicine , Ankara , Turkey
| | - Özlem Güzel Tunçcan
- c Gazi University Faculty of Medicine , Department of Infectious Diseases , Ankara , Turkey
| | - Özge Özgen
- c Gazi University Faculty of Medicine , Department of Infectious Diseases , Ankara , Turkey
| | - Necla Tülek
- d Ankara Training and Research Hospital , Clinic of Infectious Diseases and Clinical Microbiology , Ankara , Turkey
| | - Metin Özsoy
- d Ankara Training and Research Hospital , Clinic of Infectious Diseases and Clinical Microbiology , Ankara , Turkey
| | - Hasan Tezer
- e Gazi University Faculty of Medicine , Department of Pediatrics , Ankara , Turkey
| | - Tugba Bedir Demirdağ
- e Gazi University Faculty of Medicine , Department of Pediatrics , Ankara , Turkey
| | - Ates Kara
- f Hacettepe University Faculty of Medicine , Department of Pediatrics , Ankara , Turkey
| | | | - Kubra Aykac
- f Hacettepe University Faculty of Medicine , Department of Pediatrics , Ankara , Turkey
| | - Aslinur Ozkaya-Parlakay
- g Ankara Hematology Oncology Children's Training and Research Hospital , Pediatric Infectious Disease Department , Ankara , Turkey
| | - Belgin Gulhan
- g Ankara Hematology Oncology Children's Training and Research Hospital , Pediatric Infectious Disease Department , Ankara , Turkey
| | - Serhat Unal
- h Hacettepe University Faculty of Medicine , Department of Infectious Diseases and Clinical Microbiology , Ankara , Turkey
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10
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Andrew MK, Shinde V, Hatchette T, Ambrose A, Boivin G, Bowie W, Chit A, Dos Santos G, ElSherif M, Green K, Haguinet F, Halperin SA, Ibarguchi B, Johnstone J, Katz K, Langley JM, LeBlanc J, Loeb M, MacKinnon-Cameron D, McCarthy A, McElhaney J, McGeer A, Nichols MK, Powis J, Richardson D, Semret M, Stiver G, Trottier S, Valiquette L, Webster D, Ye L, McNeil SA. Influenza vaccine effectiveness against influenza-related hospitalization during a season with mixed outbreaks of four influenza viruses: a test-negative case-control study in adults in Canada. BMC Infect Dis 2017; 17:805. [PMID: 29284435 PMCID: PMC5747268 DOI: 10.1186/s12879-017-2905-8] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2017] [Accepted: 12/11/2017] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND The Serious Outcomes Surveillance (SOS) Network was established to monitor seasonal influenza complications among hospitalized Canadian adults and to assess the effectiveness of influenza vaccination against severe outcomes. Here we report age- and strain-specific vaccine effectiveness (VE) in preventing severe outcomes during a season characterized by mixed outbreaks of four different influenza strains. METHODS This prospective, multicentre, test-negative case-control study evaluated the VE of trivalent influenza vaccine (TIV) in the prevention of laboratory-confirmed influenza-hospitalization in adults aged ≥16 years (all adults) and adults aged 16-64 years (younger adults). The SOS Network identified hospitalized patients with diagnoses potentially attributable to influenza during the 2011/12 influenza season. Swabs collected at admission were tested by reverse transcriptase polymerase chain reaction (RT PCR) or viral culture to discriminate influenza cases (positive) from controls (negative). VE was calculated as 1-odds ratio (OR) of vaccination in cases versus controls × 100. RESULTS Overall, in all adults, the unadjusted and adjusted VEs of TIV against influenza-hospitalization were 41.8% (95% Confidence Interval [CI]: 26.0, 54.3), and 42.8% (95% CI: 23.8, 57.0), respectively. In younger adults (16-64 years), the unadjusted and adjusted VEs of TIV against influenza-hospitalization were 35.8% (95% CI: 4.5, 56.8) and 33.2% (95% CI: -6.7, 58.2), respectively. In the all adults group, adjusted VE against influenza A/H1N1 was 72.5% (95% CI: 30.5, 89.1), against A/H3N2 was 86.1% (95% CI: 40.1, 96.8), against B/Victoria was 40.5% (95% CI: -28.9, 72.6), and against B/Yamagata was 32.3% (95% CI: -8.3, 57.7). The adjusted estimate of early season VE (from November 1 to March 11) was 54.4% (95% CI: 29.7-70.4), which was higher than late season (from March 11 to May 25) VE estimate (VE: 29.7%, 95% CI: -5.3, 53.1). CONCLUSIONS These results suggest that TIV was highly effective against A viruses and moderately effective against B viruses during a mild season characterised by co-circulation of four influenza strains in Canada. Findings underscore the need to provide VE assessment by subtype/lineage as well as the timing of vaccination (early season vs late season) to accurately evaluate vaccine performance and thus guide public health decision-making. TRIAL REGISTRATION ClinicalTrials.gov Identifier: NCT01517191. Registration was retrospective and the date of registration was January 17, 2012.
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Affiliation(s)
- Melissa K. Andrew
- Canadian Center for Vaccinology, IWK Health Centre and Nova Scotia Health Authority, Dalhousie University, 5850/5980 University Ave, Halifax, Nova Scotia B3K 6R8 Canada
| | - Vivek Shinde
- GSK, King of Prussia, Current affiliation: Novavax Vaccines, Washington, DC, USA
| | - Todd Hatchette
- Canadian Center for Vaccinology, IWK Health Centre and Nova Scotia Health Authority, Dalhousie University, 5850/5980 University Ave, Halifax, Nova Scotia B3K 6R8 Canada
| | - Ardith Ambrose
- Canadian Center for Vaccinology, IWK Health Centre and Nova Scotia Health Authority, Dalhousie University, 5850/5980 University Ave, Halifax, Nova Scotia B3K 6R8 Canada
| | - Guy Boivin
- Centre Hospitalier Universitaire de Québec, 2705 Boulevard Laurier, RC-709, Québec, Québec G1V 4G2 Canada
| | - William Bowie
- University of British Columbia, 452D, Heather Pavilion East, VGH, 2733 Heather Street, Vancouver, British Columbia V5Z 3J5 Canada
| | - Ayman Chit
- Leslie Dan Faculty of Pharmacy, University of Toronto, Current affiliation: Sanofi Pasteur, Swiftwater, Pennsylvania USA
| | - Gael Dos Santos
- Business & Decision Life Sciences, Bruxelles, Belgium, on behalf of GSK (Wavre, Belgium), Current affiliation: GSK, Wavre, Belgium
| | - May ElSherif
- Canadian Center for Vaccinology, IWK Health Centre and Nova Scotia Health Authority, Dalhousie University, 5850/5980 University Ave, Halifax, Nova Scotia B3K 6R8 Canada
| | - Karen Green
- Mount Sinai Hospital, 600 University Ave, Room 210, Toronto, Ontario M5G 1X5 Canada
| | | | - Scott A. Halperin
- Canadian Center for Vaccinology, IWK Health Centre and Nova Scotia Health Authority, Dalhousie University, 5850/5980 University Ave, Halifax, Nova Scotia B3K 6R8 Canada
| | - Barbara Ibarguchi
- GSK, Mississauga, Ontario, Canada, Current affiliation: Bayer Inc, Mississauga, Ontario Canada
| | - Jennie Johnstone
- McMaster University, Michael G. DeGroote Centre for Learning, 1200 Main Street West, Room 3208, Hamilton, Ontario L8S 4K1 Canada
| | - Kevin Katz
- North York General Hospital, 4001 Leslie St, Toronto, Ontario M2K 1E1 Canada
| | - Joanne M. Langley
- Canadian Center for Vaccinology, IWK Health Centre and Nova Scotia Health Authority, Dalhousie University, 5850/5980 University Ave, Halifax, Nova Scotia B3K 6R8 Canada
| | - Jason LeBlanc
- Canadian Center for Vaccinology, IWK Health Centre and Nova Scotia Health Authority, Dalhousie University, 5850/5980 University Ave, Halifax, Nova Scotia B3K 6R8 Canada
| | - Mark Loeb
- McMaster University, Michael G. DeGroote Centre for Learning, 1200 Main Street West, Room 3208, Hamilton, Ontario L8S 4K1 Canada
| | - Donna MacKinnon-Cameron
- Canadian Center for Vaccinology, IWK Health Centre and Nova Scotia Health Authority, Dalhousie University, 5850/5980 University Ave, Halifax, Nova Scotia B3K 6R8 Canada
| | - Anne McCarthy
- The Ottawa Hospital, Ottawa Hospital Civic Campus, 1053 Carling Ave, Ottawa, Ontario K1Y 4E9 Canada
| | - Janet McElhaney
- Health Sciences North Research Institute, 41 Ramsey Lake Rd, Sudbury, Ontario P3E 5J1 Canada
| | - Allison McGeer
- Mount Sinai Hospital, 600 University Ave, Room 210, Toronto, Ontario M5G 1X5 Canada
| | - Michaela K. Nichols
- Canadian Center for Vaccinology, IWK Health Centre and Nova Scotia Health Authority, Dalhousie University, 5850/5980 University Ave, Halifax, Nova Scotia B3K 6R8 Canada
| | - Jeff Powis
- Michael Garron Hospital, 825 Coxwell Ave, Toronto, Ontario M4C 3E7 Canada
| | - David Richardson
- William Osler Health System, Department of Infectious Diseases and Medical Microbiology, 2100 Bovaird Dr East, Brampton, Ontario L6R 3J7 Canada
| | - Makeda Semret
- McGill University, McGill University Health Centre, Glen Site, 1001 Decarie Blvd, Montreal, Quebec H4A 3J1 Canada
| | - Grant Stiver
- University of British Columbia, 452D, Heather Pavilion East, VGH, 2733 Heather Street, Vancouver, British Columbia V5Z 3J5 Canada
| | - Sylvie Trottier
- Centre Hospitalier Universitaire de Québec, 2705 Boulevard Laurier, RC-709, Québec, Québec G1V 4G2 Canada
| | - Louis Valiquette
- Université de Sherbrooke, 3001 12th Ave North, Sherbrooke, Quebec J1H 5N4 Canada
| | - Duncan Webster
- Saint John Regional Hospital, Dalhousie University, 400 University Ave, Saint John, New Brunswick E2L 4L2 Canada
| | - Lingyun Ye
- Canadian Center for Vaccinology, IWK Health Centre and Nova Scotia Health Authority, Dalhousie University, 5850/5980 University Ave, Halifax, Nova Scotia B3K 6R8 Canada
| | - Shelly A. McNeil
- Canadian Center for Vaccinology, IWK Health Centre and Nova Scotia Health Authority, Dalhousie University, 5850/5980 University Ave, Halifax, Nova Scotia B3K 6R8 Canada
| | - on behalf of the Public Health Agency of Canada/Canadian Institutes of Health Research Influenza Research Network (PCIRN) Serious Outcomes Surveillance Network and the Toronto Invasive Bacterial Diseases Network (TIBDN)
- Canadian Center for Vaccinology, IWK Health Centre and Nova Scotia Health Authority, Dalhousie University, 5850/5980 University Ave, Halifax, Nova Scotia B3K 6R8 Canada
- GSK, King of Prussia, Current affiliation: Novavax Vaccines, Washington, DC, USA
- Centre Hospitalier Universitaire de Québec, 2705 Boulevard Laurier, RC-709, Québec, Québec G1V 4G2 Canada
- University of British Columbia, 452D, Heather Pavilion East, VGH, 2733 Heather Street, Vancouver, British Columbia V5Z 3J5 Canada
- Leslie Dan Faculty of Pharmacy, University of Toronto, Current affiliation: Sanofi Pasteur, Swiftwater, Pennsylvania USA
- Business & Decision Life Sciences, Bruxelles, Belgium, on behalf of GSK (Wavre, Belgium), Current affiliation: GSK, Wavre, Belgium
- Mount Sinai Hospital, 600 University Ave, Room 210, Toronto, Ontario M5G 1X5 Canada
- GSK, Wavre, Belgium
- GSK, Mississauga, Ontario, Canada, Current affiliation: Bayer Inc, Mississauga, Ontario Canada
- McMaster University, Michael G. DeGroote Centre for Learning, 1200 Main Street West, Room 3208, Hamilton, Ontario L8S 4K1 Canada
- North York General Hospital, 4001 Leslie St, Toronto, Ontario M2K 1E1 Canada
- The Ottawa Hospital, Ottawa Hospital Civic Campus, 1053 Carling Ave, Ottawa, Ontario K1Y 4E9 Canada
- Health Sciences North Research Institute, 41 Ramsey Lake Rd, Sudbury, Ontario P3E 5J1 Canada
- Michael Garron Hospital, 825 Coxwell Ave, Toronto, Ontario M4C 3E7 Canada
- William Osler Health System, Department of Infectious Diseases and Medical Microbiology, 2100 Bovaird Dr East, Brampton, Ontario L6R 3J7 Canada
- McGill University, McGill University Health Centre, Glen Site, 1001 Decarie Blvd, Montreal, Quebec H4A 3J1 Canada
- Université de Sherbrooke, 3001 12th Ave North, Sherbrooke, Quebec J1H 5N4 Canada
- Saint John Regional Hospital, Dalhousie University, 400 University Ave, Saint John, New Brunswick E2L 4L2 Canada
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Andrew MK, Shinde V, Ye L, Hatchette T, Haguinet F, Dos Santos G, McElhaney JE, Ambrose A, Boivin G, Bowie W, Chit A, ElSherif M, Green K, Halperin S, Ibarguchi B, Johnstone J, Katz K, Langley J, Leblanc J, Loeb M, MacKinnon-Cameron D, McCarthy A, McGeer A, Powis J, Richardson D, Semret M, Stiver G, Trottier S, Valiquette L, Webster D, McNeil SA. The Importance of Frailty in the Assessment of Influenza Vaccine Effectiveness Against Influenza-Related Hospitalization in Elderly People. J Infect Dis 2017; 216:405-414. [PMID: 28931244 PMCID: PMC5853583 DOI: 10.1093/infdis/jix282] [Citation(s) in RCA: 127] [Impact Index Per Article: 15.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2016] [Accepted: 06/09/2017] [Indexed: 11/14/2022] Open
Abstract
Background Influenza is an important cause of morbidity and mortality among older adults. Even so, effectiveness of influenza vaccine for older adults has been reported to be lower than for younger adults, and the impact of frailty on vaccine effectiveness (VE) and outcomes is uncertain. We aimed to study VE against influenza hospitalization in older adults, focusing on the impact of frailty. Methods We report VE of trivalent influenza vaccine (TIV) in people ≥65 years of age hospitalized during the 2011-2012 influenza season using a multicenter, prospective, test-negative case-control design. A validated frailty index (FI) was used to measure frailty. Results Three hundred twenty cases and 564 controls (mean age, 80.6 and 78.7 years, respectively) were enrolled. Cases had higher baseline frailty than controls (P = .006). In the fully adjusted model, VE against influenza hospitalization was 58.0% (95% confidence interval [CI], 34.2%-73.2%). The contribution of frailty was important; adjusting for frailty alone yielded a VE estimate of 58.7% (95% CI, 36.2%-73.2%). VE was 77.6% among nonfrail older adults and declined as frailty increased. Conclusions Despite commonly held views that VE is poor in older adults, we found that TIV provided good protection against influenza hospitalization in older adults who were not frail, though VE diminished as frailty increased. Clinical Trials Registration NCT01517191.
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Affiliation(s)
- Melissa K Andrew
- Canadian Center for Vaccinology, IWK Health Centre and Nova Scotia Health Authority, Dalhousie University, Halifax
| | - Vivek Shinde
- GlaxoSmithKline (GSK), King of Prussia, Pennsylvania; and
| | - Lingyun Ye
- Canadian Center for Vaccinology, IWK Health Centre and Nova Scotia Health Authority, Dalhousie University, Halifax
| | - Todd Hatchette
- Canadian Center for Vaccinology, IWK Health Centre and Nova Scotia Health Authority, Dalhousie University, Halifax
| | | | | | | | - Ardith Ambrose
- Canadian Center for Vaccinology, IWK Health Centre and Nova Scotia Health Authority, Dalhousie University, Halifax
| | - Guy Boivin
- Centre Hospitalier Universitaire de Québec, Quebec City, and
| | | | - Ayman Chit
- Sanofi Pasteur, Swiftwater, Pennsylvania
- Leslie Dan Faculty of Pharmacy, University of Toronto
| | - May ElSherif
- Canadian Center for Vaccinology, IWK Health Centre and Nova Scotia Health Authority, Dalhousie University, Halifax
| | | | - Scott Halperin
- Canadian Center for Vaccinology, IWK Health Centre and Nova Scotia Health Authority, Dalhousie University, Halifax
| | | | | | | | - Joanne Langley
- Canadian Center for Vaccinology, IWK Health Centre and Nova Scotia Health Authority, Dalhousie University, Halifax
| | - Jason Leblanc
- Canadian Center for Vaccinology, IWK Health Centre and Nova Scotia Health Authority, Dalhousie University, Halifax
| | | | - Donna MacKinnon-Cameron
- Canadian Center for Vaccinology, IWK Health Centre and Nova Scotia Health Authority, Dalhousie University, Halifax
| | | | | | | | | | | | - Grant Stiver
- University of British Columbia, Vancouver, Canada
| | - Sylvie Trottier
- Centre Hospitalier Universitaire de Québec, Quebec City, and
| | | | | | - Shelly A McNeil
- Canadian Center for Vaccinology, IWK Health Centre and Nova Scotia Health Authority, Dalhousie University, Halifax
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12
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Torner N, Navas E, Soldevila N, Toledo D, Navarro G, Morillo A, Pérez MJ, Domínguez A. Costs associated with influenza-related hospitalization in the elderly. Hum Vaccin Immunother 2017; 13:412-416. [PMID: 27925855 PMCID: PMC5328227 DOI: 10.1080/21645515.2017.1264829] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022] Open
Abstract
Seasonal influenza epidemics remain a considerable burden in adults, especially in those at higher risk of complications. The aim of this study was to determine the costs associated with influenza-related hospitalization in patients aged ≥65 y admitted to 20 hospitals from 7 Spanish regions during the 2013-14 and 2014-15 influenza seasons. Bivariate analysis was used to compare costs in vaccinated and unvaccinated cases. Costs were calculated according to the Spanish National Health System diagnosis-related group tables for influenza and other respiratory system conditions (GRD 89 and GRD 101). A total of 728 confirmed influenza cases were recorded: 52.9% were male, 46.7% were aged 75-84 years, and 49.3% received influenza vaccine ≥15 d prior to hospital admission. Influenza-related mean hospitalization costs (MHC) were € 1,184,808 in unvaccinated and € 1,152,333 in vaccinated cases (2.75% lower). Influenza vaccination showed significant protection against ICU admission (OR 0.35, 95%CI 0.21-0.59; p < 0001); mechanical ventilation (OR 0.56, 95%CI 0.39-0.80; p = 0.002); secondary bacterial pneumonia (OR 0.61, 95%CI 0.39-0.98; p = 0.04) and a higher degree of dependence (OR 0.74, 95%CI 0.55-0.99; p = 0.04). No association was observed for the Charlson comorbidity index or the mean hospital stay. Although influenza vaccination of the elderly may not achieve significant savings in mean hospitalization costs, it may lessen the degree of severity and avoid complications.
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Affiliation(s)
- Núria Torner
- CIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain
- Department of Medicine, Public Health Unit. University of Barcelona, Barcelona, Spain
- Public Health Agency of Catalonia, Barcelona, Spain
| | | | - Núria Soldevila
- CIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain
| | - Diana Toledo
- CIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain
| | - Gemma Navarro
- Epidemiology Unit, Corporació Sanitària i Universitaria Parc Taulí, Sabadell, Spain
| | - Aurea Morillo
- CIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain
- Preventive Medicine and Public Health Department, University Hospital Virgen del Rocio, Seville, Spain
| | - Maria José Pérez
- CIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain
- Preventive Medicine and Public Health Department, University Hospital of Valme, Seville, Spain
| | - Angela Domínguez
- CIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain
- Department of Medicine, Public Health Unit. University of Barcelona, Barcelona, Spain
| | - the Working Group of the Project PI12/02079
- CIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain
- Department of Medicine, Public Health Unit. University of Barcelona, Barcelona, Spain
- Public Health Agency of Catalonia, Barcelona, Spain
- Epidemiology Unit, Corporació Sanitària i Universitaria Parc Taulí, Sabadell, Spain
- Preventive Medicine and Public Health Department, University Hospital Virgen del Rocio, Seville, Spain
- Preventive Medicine and Public Health Department, University Hospital of Valme, Seville, Spain
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Hintergrundpapier der STIKO: Evaluation der bestehenden Influenzaimpfempfehlung für Indikationsgruppen und für Senioren (Standardimpfung ab 60 Jahren). Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz 2016; 59:1606-1622. [PMID: 27815578 DOI: 10.1007/s00103-016-2467-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
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Kannan S, Kossenkov A, Kurupati RK, Xiang JZ, Doyle SA, Schmader KE, Schowe L, Ertl HC. A shortened interval between vaccinations with the trivalent inactivated influenza vaccine increases responsiveness in the aged. Aging (Albany NY) 2016; 7:1077-85. [PMID: 26637961 PMCID: PMC4712333 DOI: 10.18632/aging.100852] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
We tested antibody responses to the trivalent inactivated influenza vaccine (TIV) in 34 aged individuals (>65 yrs) during the 2012/13 vaccination seasons. Nearly all had been vaccinated the previous year although the time interval between the two vaccine doses differed. One subgroup was re-vaccinated in 2012/13 within 6-9 months of their 2011/12 vaccination, the other received the two doses of vaccine in the typical ~12 month interval. Unexpectedly the sub-cohort with early revaccination exhibited significantly increased response rates and antibody titers to TIV compared to their normally re-vaccinated aged counter parts. Microarray analyses of gene expression in whole blood RNA taken at the day of the 2012/13 re-vaccination revealed statistically significant differences in expression of 754 genes between the individuals with early re-vaccination compared to subjects vaccinated in a normal 12 month interval. These observations suggest that TIV has long-lasting effects on the immune system affecting B cell responses as well as the transcriptome of peripheral blood mononuclear cells and this residual effect may augment vaccination response in patients where the effect of the previous vaccination has not yet diminished.
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Affiliation(s)
- Senthil Kannan
- The Wistar Institute, Philadelphia, PA 19104, USA.,Gene Therapy and Vaccines Program, University of Pennsylvania School of Medicine, Philadelphia, PA 19104, USA
| | | | | | | | - Susan A Doyle
- Division of Geriatrics, Department of Medicine, Duke University Medical Center, Durham, NC 27710, USA.,Geriatric Research, Education, and Clinical Center, Durham VA Medical Center, Durham, NC 27705, USA
| | - Kenneth E Schmader
- Division of Geriatrics, Department of Medicine, Duke University Medical Center, Durham, NC 27710, USA.,Geriatric Research, Education, and Clinical Center, Durham VA Medical Center, Durham, NC 27705, USA
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Puig-Barberà J, Burtseva E, Yu H, Cowling BJ, Badur S, Kyncl J, Sominina A. Influenza epidemiology and influenza vaccine effectiveness during the 2014-2015 season: annual report from the Global Influenza Hospital Surveillance Network. BMC Public Health 2016; 16 Suppl 1:757. [PMID: 27556802 PMCID: PMC5001209 DOI: 10.1186/s12889-016-3378-1] [Citation(s) in RCA: 33] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
Abstract
The Global Influenza Hospital Surveillance Network (GIHSN) has established a prospective, active surveillance, hospital-based epidemiological study to collect epidemiological and virological data for the Northern and Southern Hemispheres over several consecutive seasons. It focuses exclusively on severe cases of influenza requiring hospitalization. A standard protocol is shared between sites allowing comparison and pooling of results. During the 2014-2015 influenza season, the GIHSN included seven coordinating sites from six countries (St. Petersburg and Moscow, Russian Federation; Prague, Czech Republic; Istanbul, Turkey; Beijing, China; Valencia, Spain; and Rio de Janeiro, Brazil). Here, we present the detailed epidemiological and influenza vaccine effectiveness findings for the Northern Hemisphere 2014-2015 influenza season.
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Affiliation(s)
- Joan Puig-Barberà
- Foundation for the Promotion of Health and Biomedical Research in the Valencia Region FISABIO - Public Health, Avda Catalunya 21, 46020, Valencia, Spain.
| | - Elena Burtseva
- D.I. Ivanovsky Institute of Virology FGBC "N.F. Gamaleya FRCEM" Ministry of Health of Russian Federation, Moscow, Russian Federation, Russia
| | - Hongjie Yu
- Division of Infectious Disease, Key Laboratory of Surveillance and Early-Warning on Infectious Disease, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Benjamin J Cowling
- School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, Special Administrative Region, China
| | - Selim Badur
- National Influenza Reference Laboratory, Istanbul Faculty of Medicine, Istanbul University, Istanbul, Turkey
| | - Jan Kyncl
- National Institute of Public Health (NIPH), Prague, Czech Republic
| | - Anna Sominina
- Research Institute of Influenza, Saint Petersburg, Russian Federation, Russia
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16
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Puig-Barberà J, Natividad-Sancho A, Trushakova S, Sominina A, Pisareva M, Ciblak MA, Badur S, Yu H, Cowling BJ, El Guerche-Séblain C, Mira-Iglesias A, Kisteneva L, Stolyarov K, Yurtcu K, Feng L, López-Labrador X, Burtseva E. Epidemiology of Hospital Admissions with Influenza during the 2013/2014 Northern Hemisphere Influenza Season: Results from the Global Influenza Hospital Surveillance Network. PLoS One 2016; 11:e0154970. [PMID: 27196667 PMCID: PMC4873033 DOI: 10.1371/journal.pone.0154970] [Citation(s) in RCA: 38] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2015] [Accepted: 04/21/2016] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND The Global Influenza Hospital Surveillance Network was established in 2012 to obtain valid epidemiologic data on hospital admissions with influenza-like illness. Here we describe the epidemiology of admissions with influenza within the Northern Hemisphere sites during the 2013/2014 influenza season, identify risk factors for severe outcomes and complications, and assess the impact of different influenza viruses on clinically relevant outcomes in at-risk populations. METHODS Eligible consecutive admissions were screened for inclusion at 19 hospitals in Russia, Turkey, China, and Spain using a prospective, active surveillance approach. Patients that fulfilled a common case definition were enrolled and epidemiological data were collected. Risk factors for hospitalization with laboratory-confirmed influenza were identified by multivariable logistic regression. FINDINGS 5303 of 9507 consecutive admissions were included in the analysis. Of these, 1086 were influenza positive (534 A(H3N2), 362 A(H1N1), 130 B/Yamagata lineage, 3 B/Victoria lineage, 40 untyped A, and 18 untyped B). The risk of hospitalization with influenza (adjusted odds ratio [95% confidence interval]) was elevated for patients with cardiovascular disease (1.63 [1.33-2.02]), asthma (2.25 [1.67-3.03]), immunosuppression (2.25 [1.23-4.11]), renal disease (2.11 [1.48-3.01]), liver disease (1.94 [1.18-3.19], autoimmune disease (2.97 [1.58-5.59]), and pregnancy (3.84 [2.48-5.94]). Patients without comorbidities accounted for 60% of admissions with influenza. The need for intensive care or in-hospital death was not significantly different between patients with or without influenza. Influenza vaccination was associated with a lower risk of confirmed influenza (adjusted odds ratio = 0.61 [0.48-0.77]). CONCLUSIONS Influenza infection was detected among hospital admissions with and without known risk factors. Pregnancy and underlying comorbidity increased the risk of detecting influenza virus in patients hospitalized with influenza-like illness. Our results support influenza vaccination as a measure for reducing the risk of influenza-associated hospital admission.
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Affiliation(s)
- Joan Puig-Barberà
- Fundación para el Fomento de la Investigación Sanitaria y Biomédica de la Comunidad Valenciana (FISABIO), Valencia, Spain
- * E-mail:
| | - Angels Natividad-Sancho
- Fundación para el Fomento de la Investigación Sanitaria y Biomédica de la Comunidad Valenciana (FISABIO), Valencia, Spain
| | - Svetlana Trushakova
- D.I. Ivanovsky Institute of Virology FSBI “N.F. Gamaleya FRCEM” Ministry of Health of Russian Federation, Moscow, Russian Federation
| | - Anna Sominina
- Research Institute of Influenza, St. Petersburg, Russian Federation
| | - Maria Pisareva
- Research Institute of Influenza, St. Petersburg, Russian Federation
| | - Meral A. Ciblak
- National Influenza Reference Laboratory, Istanbul Faculty of Medicine, Istanbul University, Istanbul, Turkey
| | - Selim Badur
- National Influenza Reference Laboratory, Istanbul Faculty of Medicine, Istanbul University, Istanbul, Turkey
| | - Hongjie Yu
- Division of Infectious Disease, Key Laboratory of Surveillance and Early-Warning on Infectious Disease, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Benjamin J. Cowling
- School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | | | - Ainara Mira-Iglesias
- Fundación para el Fomento de la Investigación Sanitaria y Biomédica de la Comunidad Valenciana (FISABIO), Valencia, Spain
| | - Lidiya Kisteneva
- D.I. Ivanovsky Institute of Virology FSBI “N.F. Gamaleya FRCEM” Ministry of Health of Russian Federation, Moscow, Russian Federation
| | - Kirill Stolyarov
- Research Institute of Influenza, St. Petersburg, Russian Federation
| | - Kubra Yurtcu
- National Influenza Reference Laboratory, Istanbul Faculty of Medicine, Istanbul University, Istanbul, Turkey
| | - Luzhao Feng
- Division of Infectious Disease, Key Laboratory of Surveillance and Early-Warning on Infectious Disease, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Xavier López-Labrador
- Fundación para el Fomento de la Investigación Sanitaria y Biomédica de la Comunidad Valenciana (FISABIO), Valencia, Spain
- Centro de Investigación Biomédica en Epidemiología y Salud Publica (CIBER-ESP), Instituto de Salud Carlos III, Madrid, Spain
| | - Elena Burtseva
- D.I. Ivanovsky Institute of Virology FSBI “N.F. Gamaleya FRCEM” Ministry of Health of Russian Federation, Moscow, Russian Federation
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Martínez-Baz I, Navascués A, Pozo F, Chamorro J, Albeniz E, Casado I, Reina G, Cenoz MG, Ezpeleta C, Castilla J. Influenza vaccine effectiveness in preventing inpatient and outpatient cases in a season dominated by vaccine-matched influenza B virus. Hum Vaccin Immunother 2016; 11:1626-33. [PMID: 25996366 DOI: 10.1080/21645515.2015.1038002] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022] Open
Abstract
Studies that have evaluated the influenza vaccine effectiveness (VE) to prevent laboratory-confirmed influenza B cases are uncommon, and few have analyzed the effect in preventing hospitalized cases. We have evaluated the influenza VE in preventing outpatient and hospitalized cases with laboratory-confirmed influenza in the 2012-2013 season, which was dominated by a vaccine-matched influenza B virus. In the population covered by the Navarra Health Service, all hospitalized patients with influenza-like illness (ILI) and all ILI patients attended by a sentinel network of general practitioners were swabbed for influenza testing, and all were included in a test-negative case-control analysis. VE was calculated as (1-odds ratio) × 100. Among 744 patients tested, 382 (51%) were positive for influenza virus: 70% for influenza B, 24% for A(H1N1)pdm09, and 5% for A(H3N2). The overall estimate of VE in preventing laboratory-confirmed influenza was 63% (95% confidence interval (CI): 34 to 79), 55% (1 to 80) in outpatients and 74% (33 to 90) in hospitalized patients. The VE was 70% (41 to 85) against influenza B and 43% (-45 to 78) against influenza A. The VE against virus B was 87% (52 to 96) in hospitalized patients and 56% in outpatients (-5 to 81). Adjusted comparison of vaccination status between inpatient and outpatient cases with influenza B did not show statistically significant differences (odds ratio: 1.13; p = 0.878). These results suggest a high protective effect of the vaccine in the 2012-2013 season, with no differences found for the effect between outpatient and hospitalized cases.
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Panapasa JA, Cox RJ, Mohn KGI, Aqrawi LA, Brokstad KA. The expression of B & T cell activation markers in children's tonsils following live attenuated influenza vaccine. Hum Vaccin Immunother 2016; 11:1663-72. [PMID: 26148331 PMCID: PMC4514187 DOI: 10.1080/21645515.2015.1032486] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022] Open
Abstract
Live attenuated influenza vaccines (LAIV) can prevent influenza illness and death in children. The absence of known correlates of protection induced by LAIV requires human studies of underlying mechanisms of vaccine-induced immunity, to further elucidate the immunological processes occurring. In this study, children scheduled for elective tonsillectomy were enrolled in a clinical trial to evaluate the immune response to LAIV, in order to compare T and B cell gene expression profiles. Twenty-three children (aged 3-17 years) were divided into 4 groups; unvaccinated controls, or vaccinated intranasally with LAIV at days 3-4, 6-7, and 12-15 before tonsillectomy. Total RNA extraction was performed on tonsillar tissue and high RNA quality was assured. The samples were then analyzed using a validated RT2 Profiler PCR Array containing 84 gene-specific primers involved in B and T cell activation, proliferation, differentiation, regulation and polarization. The gene expression after LAIV vaccination was subsequently compared to the controls. We observed that at d 3-4 post vaccination, 6 genes were down-regulated, namely APC, CD3G, FASLG, IL7, CD8A and TLR1. Meanwhile at 6-7 days post vaccination, 9 genes were significantly up-regulated, including RIPK2, TGFB1, MICB, SOCS1, IL2RA, MS4A1, PTPRC, IL2 and IL8. By days 12-15 the genes RIPK2, IL4, IL12B and TLR2 were overexpressed. RIPK2 was upregulated at all 3 time points. Our data suggests an overall proliferation, differentiation and regulation of B and T cells in the tonsils following LAIV, where the majority of genes were up-regulated at days 6-7 and normalized by days 12-15. These findings may provide a first step into defining future biomarkers or correlates of protection after LAIV immunization.
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Affiliation(s)
- Jack A Panapasa
- a Broegelmann Research Laboratory; Department of Clinical Sciences; University of Bergen ; Bergen , Norway
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Qin Y, Zhang Y, Wu P, Feng S, Zheng J, Yang P, Pan Y, Wang Q, Feng L, Pang X, Puig-Barberà J, Yu H, Cowling BJ. Influenza vaccine effectiveness in preventing hospitalization among Beijing residents in China, 2013-15. Vaccine 2016; 34:2329-33. [PMID: 27026147 DOI: 10.1016/j.vaccine.2016.03.068] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2016] [Revised: 03/10/2016] [Accepted: 03/18/2016] [Indexed: 11/19/2022]
Abstract
BACKGROUND Estimates of influenza vaccination effectiveness (VE) are valuable for populations where the vaccine has been promoted in order to support vaccination policy and to permit evaluation of vaccination strategies. Such studies would be important for China due to limited data available during seasons when the vaccine strains matched or mismatched the circulating viruses. METHODS We conducted a test-negative study in hospitals in Beijing. Patients admitted to five hospitals in the city were enrolled during the winter influenza seasons of 2013-14 and 2014-15. Influenza virus infections were determined by PCR, and influenza vaccination records were extracted from a centralized electronic immunization registry. Influenza VE was estimated by logistic regression adjusting for age group, sex and chronic conditions, and matched by calendar week. RESULTS A total of 2368 inpatients were recruited during the study period with a vaccination coverage in the control group of 12.8%. The overall estimate of influenza VE was 46.9% (95% CI: -20.4%, 76.6%) for the 2013-14 season and 5.0% (95% CI: -53.0%, 41.0%) for the 2014-15 season. Estimates of VE were relatively higher in children aged 6-17 years than older persons across two influenza seasons while estimates of VE for both adults and elderly were relatively low. CONCLUSIONS Our findings were consistent with expected influenza vaccination effectiveness in seasons when the vaccine matched or mismatched circulating viruses. Strategies to increase influenza vaccine coverage could provide a public health benefit.
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Affiliation(s)
- Ying Qin
- Division of Infectious Disease, Key Laboratory of Surveillance and Early-Warning on Infectious Disease, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Yi Zhang
- Beijing Center for Disease Prevention and Control, Beijing, China
| | - Peng Wu
- School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region
| | - Shuo Feng
- School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region
| | - Jiandong Zheng
- Division of Infectious Disease, Key Laboratory of Surveillance and Early-Warning on Infectious Disease, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Peng Yang
- Beijing Center for Disease Prevention and Control, Beijing, China
| | - Yang Pan
- Beijing Center for Disease Prevention and Control, Beijing, China
| | - Quanyi Wang
- Beijing Center for Disease Prevention and Control, Beijing, China
| | - Luzhao Feng
- Division of Infectious Disease, Key Laboratory of Surveillance and Early-Warning on Infectious Disease, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Xinghuo Pang
- Beijing Center for Disease Prevention and Control, Beijing, China
| | - Joan Puig-Barberà
- Foundation for the Promotion of Health and Biomedical Research in the Valencia Region FISABIO - Public Health, Valencia, Spain
| | - Hongjie Yu
- Division of Infectious Disease, Key Laboratory of Surveillance and Early-Warning on Infectious Disease, Chinese Center for Disease Control and Prevention, Beijing, China.
| | - Benjamin J Cowling
- School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region.
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Puig-Barberà J, Tormos A, Trushakova S, Sominina A, Pisareva M, Ciblak MA, Badur S, Yu H, Cowling BJ, Burtseva E. The Global Influenza Hospital Surveillance Network (GIHSN): a new platform to describe the epidemiology of severe influenza. Influenza Other Respir Viruses 2015; 9:277-286. [PMID: 26198771 PMCID: PMC4605407 DOI: 10.1111/irv.12335] [Citation(s) in RCA: 38] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/02/2015] [Indexed: 11/29/2022] Open
Abstract
BACKGROUND Influenza is a global public health problem. However, severe influenza only recently has been addressed in routine surveillance. OBJECTIVES The Global Influenza Hospital Surveillance Network (GIHSN) was established to study the epidemiology of severe influenza in consecutive seasons in different countries. Our objective is to describe the GIHSN approach and methods. METHODS The GIHSN uses prospective active surveillance to identify consecutive influenza admissions in permanent residents of well-defined geographic areas in sites around the world. A core common protocol is followed. After consent, data are collected on patient characteristics and clinical outcomes, respiratory swabs are obtained, and the presence of influenza virus and subtype or lineage is ascertained by polymerase chain reaction. Data are collated and analyzed at the GIHSN coordination center. RESULTS The GIHSN has run its activities for two consecutive influenza seasons, 2012-2013 and 2013-2014, and hospitals in Brazil, China, France, Russian Federation, Turkey, and Spain have been involved in one or both seasons. Consistency on the application of the protocol and heterogeneity for the first season have been addressed in two previous publications. During both seasons, 19 677 eligible admissions were recorded; 11 843 (60%) were included and tested, and 2713 (23%) were positive for influenza: 991 (37%) A(H1N1); 807 (30%) A(H3N2); 583 (21%) B/Yamagata; 56 (2%) B/Victoria and 151 (6%) influenza A; and 125 (5%) influenza B were not characterized. CONCLUSIONS The GIHSN is a platform that provides information on severe influenza worldwide, applying a common core protocol and a consistent case definition.
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Affiliation(s)
- Joan Puig-Barberà
- Fundación para el Fomento de la Investigación Sanitaria y Biomédica de la Comunidad Valenciana (FISABIO)Valencia, Spain
| | - Anita Tormos
- Fundación para el Fomento de la Investigación Sanitaria y Biomédica de la Comunidad Valenciana (FISABIO)Valencia, Spain
| | | | - Anna Sominina
- Research Institute of InfluenzaSt. Petersburg, Russian Federation
| | - Maria Pisareva
- Research Institute of InfluenzaSt. Petersburg, Russian Federation
| | - Meral A Ciblak
- National Influenza Reference Laboratory Capa-IstanbulIstanbul, Turkey
| | - Selim Badur
- National Influenza Reference Laboratory Capa-IstanbulIstanbul, Turkey
| | - Hongjie Yu
- Key Laboratory of Surveillance and Early-warning on Infectious Disease, Division of Infectious Disease, Chinese Center for Disease Control and PreventionBeijing, China
| | - Benjamin J Cowling
- Li Ka Shing Faculty of Medicine, School of Public Health, The University of Hong KongHong Kong, China
| | - Elena Burtseva
- D.I. Ivanovsky Institute of VirologyMoscow, Russian Federation
| | - on behalf of the GIHSN Group*
- Fundación para el Fomento de la Investigación Sanitaria y Biomédica de la Comunidad Valenciana (FISABIO)Valencia, Spain
- D.I. Ivanovsky Institute of VirologyMoscow, Russian Federation
- Research Institute of InfluenzaSt. Petersburg, Russian Federation
- National Influenza Reference Laboratory Capa-IstanbulIstanbul, Turkey
- Key Laboratory of Surveillance and Early-warning on Infectious Disease, Division of Infectious Disease, Chinese Center for Disease Control and PreventionBeijing, China
- Li Ka Shing Faculty of Medicine, School of Public Health, The University of Hong KongHong Kong, China
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Trondsen M, Aqrawi LA, Zhou F, Pedersen G, Trieu MC, Zhou P, Cox RJ. Induction of Local Secretory IgA and Multifunctional CD4⁺ T-helper Cells Following Intranasal Immunization with a H5N1 Whole Inactivated Influenza Virus Vaccine in BALB/c Mice. Scand J Immunol 2015; 81:305-17. [PMID: 25737202 DOI: 10.1111/sji.12288] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2014] [Accepted: 02/24/2015] [Indexed: 02/05/2023]
Abstract
Avian influenza subunit vaccines have been shown to be poorly immunogenic, leading to the re-evaluation of the immunogenic and dose-sparing potential of whole virus vaccines. In this study, we investigated the immune responses after one or two doses of intramuscular or intranasal whole inactivated influenza H5N1 virus vaccine in BALB/c mice. Serum samples and nasal washings were collected weekly post-vaccination and analysed using enzyme-linked immunosorbent assay (ELISA). Sera were also analysed by the haemagglutination inhibition (HI) assay. Antibody-secreting cells were measured in lymphocytes from spleen and bone marrow via enzyme-linked immunospot (ELISPOT). Splenocytes were stimulated in vitro, and T-helper profiles were measured through multiplex bead assay in the supernatants, or intracellularly by multiparametric flow cytometry. Both vaccine routes induced high HI titres following the second immunization (intramuscular = 370, intranasal = 230). Moreover, the intramuscular group showed significantly higher levels of serum IgG (P < 0.01), IgG1 (P < 0.01) and IgG2a (P < 0.01) following the second vaccine dose, while the intranasal group exhibited significantly higher levels of serum IgA (P < 0.05) and local IgA (P < 0.01) in the nasal washings. Also, IgA antibody-secreting cells were found in significantly higher numbers in the intranasal group in both the spleen (P < 0.01) and the bone marrow (P < 0.01). Moreover, Th1 (TNF-α, IL-2, IFN-γ) and Th2 (IL-4, IL-5, IL-10) cytokines were expressed by both groups, yet only the intranasal group expressed the Th17 marker IL-17. As the intranasal vaccines induce local IgA and are easily administered, we suggest the intranasally administered whole virus vaccine as a promising candidate for a pandemic H5N1 vaccine.
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Affiliation(s)
- M Trondsen
- The Influenza Centre, Department of Clinical Science, University of Bergen, Bergen, Norway
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Remschmidt C, Rieck T, Bödeker B, Wichmann O. Application of the screening method to monitor influenza vaccine effectiveness among the elderly in Germany. BMC Infect Dis 2015; 15:137. [PMID: 25887460 PMCID: PMC4371628 DOI: 10.1186/s12879-015-0882-3] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2014] [Accepted: 03/12/2015] [Indexed: 11/11/2022] Open
Abstract
Background Elderly people are at increased risk for severe influenza illness and constitute therefore a major target-group for seasonal influenza vaccination in most industrialized countries. The aim of this study was to estimate influenza vaccine effectiveness (VE) among individuals aged 60+ years over three seasons and to assess if the screening method is a suitable tool to monitor influenza VE in this particular target-group in Germany. Methods We identified laboratory-confirmed influenza cases aged 60+ years through the national communicable disease reporting system for seasons 2010/11, 2011/12 and 2012/13. Vaccination coverage (VC) data were retrieved from a database of health insurance claims representing ~85% of the total German population. We applied the screening method to calculate influenza subtype-specific VE and compared our results with VE estimates from other observational studies in Europe. Results In total, 7,156 laboratory-confirmed influenza cases were included. VE against all influenza types ranged between 49% (95% confidence interval [CI]: 39–56) in 2011/12 and 80% (95% CI: 76-83%) in 2010/11. In 2010/11 subtype-specific VE against influenza A(H1N1)pdm and B was 76% and 84%, respectively. In the following seasons, VE against influenza A(H1N1)pdm, A(H3N2) and B was 87%, -9% , 74% (2011/12), and 74%, 39%, 73% (2012/13). VE was higher among hospitalized compared to non-hospitalized influenza A cases. Seventeen observational studies from Europe reporting subtype-specific VE among the elderly were identified for the respective seasons (all applying the test-negative design) and showed comparable subtype-specific VE estimates. Conclusions According to our study, influenza vaccination provided moderate protection against laboratory-confirmed influenza A(H1N1)pdm and B in individuals aged 60+ but no or only little protection against A(H3N2). Higher VE among hospitalized cases might indicate higher protection against severe influenza disease. Based on the available data, the screening method allowed us to assess subtype-specific VE in hospitalized and non-hospitalized elderly persons. Since controlling for several important confounders was not possible, the applied method only provided crude VE estimates. However, given the precise VC-data and the large number of cases, the screening method provided results being in line with VE estimates from other observational studies in Europe that applied a different study design. Electronic supplementary material The online version of this article (doi:10.1186/s12879-015-0882-3) contains supplementary material, which is available to authorized users.
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Affiliation(s)
| | - Thorsten Rieck
- Immunization Unit, Robert Koch Institute, Berlin, Germany. .,Charité - University Medicine Berlin, Berlin, Germany.
| | - Birte Bödeker
- Immunization Unit, Robert Koch Institute, Berlin, Germany.
| | - Ole Wichmann
- Immunization Unit, Robert Koch Institute, Berlin, Germany.
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Sullivan SG, Feng S, Cowling BJ. Potential of the test-negative design for measuring influenza vaccine effectiveness: a systematic review. Expert Rev Vaccines 2014; 13:1571-91. [PMID: 25348015 PMCID: PMC4277796 DOI: 10.1586/14760584.2014.966695] [Citation(s) in RCA: 145] [Impact Index Per Article: 13.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
BACKGROUND The test-negative design is a variant of the case-control study being increasingly used to study influenza vaccine effectiveness (VE). In these studies, patients with influenza-like illness are tested for influenza. Vaccine coverage is compared between those testing positive versus those testing negative to estimate VE. OBJECTIVES We reviewed features in the design, analysis and reporting of 85 published test-negative studies. DATA SOURCES Studies were identified from PubMed, reference lists and email updates. Study eligibility: All studies using the test-negative design reporting end-of-season estimates were included. STUDY APPRAISAL Design features that may affect the validity and comparability of reported estimates were reviewed, including setting, study period, source population, case definition, exposure and outcome ascertainment and statistical model. RESULTS There was considerable variation in the analytic approach, with 68 unique statistical models identified among the studies. CONCLUSION Harmonization of analytic approaches may improve the potential for pooling VE estimates.
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Affiliation(s)
- Sheena G Sullivan
- WHO Collaborating Centre for Reference and Research on Influenza, Peter Doherty Institute for Infection and Immunity, 792 Elizabeth St, Melbourne VIC 3000, Australia
| | - Shuo Feng
- School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Benjamin J Cowling
- School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
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Puig-Barberà J, García-de-Lomas J, Díez-Domingo J, Arnedo-Pena A, Ruiz-García M, Limón-Ramírez R, Pérez-Vilar S, Micó-Esparza JL, Tortajada-Girbés M, Carratalá-Munuera C, Larrea-González R, Beltrán-Garrido JM, Otero-Reigada MDC, Mollar-Maseres J, Correcher-Medina P, Schwarz-Chavarri G, Gil-Guillén V. Influenza vaccine effectiveness in preventing influenza A(H3N2)-related hospitalizations in adults targeted for vaccination by type of vaccine: a hospital-based test-negative study, 2011-2012 A(H3N2) predominant influenza season, Valencia, Spain. PLoS One 2014; 9:e112294. [PMID: 25392931 PMCID: PMC4230985 DOI: 10.1371/journal.pone.0112294] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2014] [Accepted: 10/10/2014] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND Most evidence of the effectiveness of influenza vaccines comes from studies conducted in primary care, but less is known about their effectiveness in preventing serious complications. Here, we examined the influenza vaccine effectiveness (IVE) against hospitalization with PCR-confirmed influenza in the predominant A(H3N2) 2011-2012 influenza season. METHODS A hospital-based, test-negative study was conducted in nine hospitals in Valencia, Spain. All emergency admissions with a predefined subset of symptoms were eligible. We enrolled consenting adults age 18 and over, targeted for influenza vaccination because of comorbidity, with symptoms of influenza-like-illness within seven days of admission. We estimated IVE as (1-adjusted vaccination odds ratio)*100 after accounting for major confounders, calendar time and recruitment hospital. RESULTS The subjects included 544 positive for influenza A(H3N2) and 1,370 negative for influenza admissions. Age was an IVE modifying factor. Regardless of vaccine administration, IVE was 72% (38 to 88%) in subjects aged under 65 and 21% (-5% to 40%) in subjects aged 65 and over. By type of vaccine, the IVE of classical intramuscular split-influenza vaccine, used in subjects 18 to 64, was 68% (12% to 88%). The IVE for intradermal and virosomal influenza vaccines, used in subjects aged 65 and over, was 39% (11% to 58%) and 16% (-39% to 49%), respectively. CONCLUSIONS The split-influenza vaccine was effective in preventing influenza-associated hospitalizations in adults aged under 65. The intradermal vaccine was moderately effective in those aged 65 and over.
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Affiliation(s)
- Joan Puig-Barberà
- Fundación para el Fomento de la Investigación Sanitaria y Biomédica de la Comunitat Valenciana (FISABIO), Valencia, Spain
- Centro de Salud Pública de Castellón, Castellón, Spain
| | | | - Javier Díez-Domingo
- Fundación para el Fomento de la Investigación Sanitaria y Biomédica de la Comunitat Valenciana (FISABIO), Valencia, Spain
| | | | | | | | | | | | | | - Concha Carratalá-Munuera
- Hospital San Juan, Alicante, Spain
- Cátedra de Medicina de Familia, Departamento de Medicina Clínica, Universidad Miguel Hernández, San Juan, Alicante, Spain
| | | | | | | | | | - Patricia Correcher-Medina
- Hospital Lluis Alcanyis, Xativa, Spain, 12 Centro de Salud San Blas, Alicante, Spain, 13 Hospital de Elda, Elda, Spain
| | | | - Vicente Gil-Guillén
- Cátedra de Medicina de Familia, Departamento de Medicina Clínica, Universidad Miguel Hernández, San Juan, Alicante, Spain
- Hospital de Elda, Elda, Spain
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Darvishian M, Bijlsma MJ, Hak E, van den Heuvel ER. Effectiveness of seasonal influenza vaccine in community-dwelling elderly people: a meta-analysis of test-negative design case-control studies. THE LANCET. INFECTIOUS DISEASES 2014; 14:1228-39. [PMID: 25455990 DOI: 10.1016/s1473-3099(14)70960-0] [Citation(s) in RCA: 84] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
BACKGROUND The application of test-negative design case-control studies to assess the effectiveness of influenza vaccine has increased substantially in the past few years. The validity of these studies is predicated on the assumption that confounding bias by risk factors is limited by design. We aimed to assess the effectiveness of influenza vaccine in a high-risk group of elderly people. METHODS We searched the Cochrane library, Medline, and Embase up to July 13, 2014, for test-negative design case-control studies that assessed the effectiveness of seasonal influenza vaccine against laboratory confirmed influenza in community-dwelling people aged 60 years or older. We used generalised linear mixed models, adapted for test-negative design case-control studies, to estimate vaccine effectiveness according to vaccine match and epidemic conditions. FINDINGS 35 test-negative design case-control studies with 53 datasets met inclusion criteria. Seasonal influenza vaccine was not significantly effective during local virus activity, irrespective of vaccine match or mismatch to the circulating viruses. Vaccination was significantly effective against laboratory confirmed influenza during sporadic activity (odds ratio [OR] 0·69, 95% CI 0·48-0·99) only when the vaccine matched. Additionally, vaccination was significantly effective during regional (match: OR 0·42, 95% CI 0·30-0·60; mismatch: OR 0·57, 95% CI 0·41-0·79) and widespread (match: 0·54, 0·46-0·62; mismatch: OR 0·72, 95% CI 0·60-0·85) outbreaks. INTERPRETATION Our findings show that in elderly people, irrespective of vaccine match, seasonal influenza vaccination is effective against laboratory confirmed influenza during epidemic seasons. Efforts should be renewed worldwide to further increase uptake of the influenza vaccine in the elderly population. FUNDING None.
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Affiliation(s)
- Maryam Darvishian
- Department of Epidemiology, University Medical Center Groningen, University of Groningen, Groningen, Netherlands; Unit of PharmacoEpidemiology and PharmacoEconomics (PE2), Department of Pharmacy, University of Groningen, Groningen, Netherlands
| | - Maarten J Bijlsma
- Unit of PharmacoEpidemiology and PharmacoEconomics (PE2), Department of Pharmacy, University of Groningen, Groningen, Netherlands
| | - Eelko Hak
- Department of Epidemiology, University Medical Center Groningen, University of Groningen, Groningen, Netherlands; Unit of PharmacoEpidemiology and PharmacoEconomics (PE2), Department of Pharmacy, University of Groningen, Groningen, Netherlands
| | - Edwin R van den Heuvel
- Department of Epidemiology, University Medical Center Groningen, University of Groningen, Groningen, Netherlands; Department of Mathematics and Computer Science, Eindhoven University of Technology, Eindhoven, Netherlands.
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