1
|
Kassianos G, Cohen JM, Civljak R, Davidovitch N, Pecurariu OF, Froes F, Galev A, Ivaskeviciene I, Kõivumägi K, Kristufkova Z, Kuchar E, Kyncl J, Maltezou HC, Marković M, Nitsch-Osuch A, Ortiz de Lejarazu R, Rossi A, Schelling J, van Essen GA, Zavadska D. The influenza landscape and vaccination coverage in older adults during the SARS-Cov-2 pandemic: data from Several European Countries and Israel. Expert Rev Respir Med 2024:1-16. [PMID: 38652642 DOI: 10.1080/17476348.2024.2340470] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2023] [Accepted: 04/04/2024] [Indexed: 04/25/2024]
Abstract
INTRODUCTION The Raise Awareness of Influenza Strategies in Europe (RAISE) group gathered information about the healthcare burden of influenza (hospitalizations, intensive care unit [ICU] admissions, and excess deaths), surveillance systems, and the vaccine coverage rate (VCR) in older adults in 18 European countries and Israel. AREAS COVERED Published medical literature and official medical documentation on the influenza disease burden in the participating countries were reviewed from 2010/11 until the 2022/23 influenza seasons. Information on the framework for monitoring the disease burden and the provision for ensuring older adults had access to vaccination in their respective countries was provided. Data on influenza VCR in older adults were collected for the 2019/20 to 2022/23 influenza seasons. Data are reported descriptively. EXPERT OPINION Influenza presents a significant healthcare burden in older adults. Reporting outcomes across participating countries is heterogeneous, highlighting the need for standardized approaches. Although older adults receive free influenza vaccination, vaccine uptake is highly variable among countries. Moreover, hospitalization rates remain high even in countries reporting a high VCR. Increased awareness and education on the burden of disease and the broader use of improved influenza vaccines for older adults may help reduce the disease burden on this population.
Collapse
Affiliation(s)
| | - Jean-Marie Cohen
- Open Rome, Paris, France
- Labo UR4129 / P2S, Université Lyon 1, Lyon, France
| | - Rok Civljak
- Department for Infectious Diseases, University of Zagreb School of Medicine, Zagreb, Croatia
- Department for Acute Respiratory Infections (Head), Dr. Fran Mihaljevic University Hospital for Infectious Diseases, Zagreb, Croatia
| | - Nadav Davidovitch
- School of Public Health, Ben Guiron University of the Negev, Beer-Sheva, Israel
| | - Oana Falup Pecurariu
- Faculty of Medicine, Transilvania University Brasov, Brasov, Romania
- Children's Clinic Hospital, Brasov, Romania
| | - Filipe Froes
- Thorax Department, Centro Hospitalar Universitário Lisboa Norte, Lisbon, Portugal
| | - Andrei Galev
- Scientific Applied Center for Military Epidemiology and Hygiene, Military Medical Academy, Sofiâ, Bulgaria
| | - Inga Ivaskeviciene
- Paediatirc Infectious Disease, Clinic of Children'sChildren's Diseases, Institute of Clinical Medicine, Medicine, Vilnius University, Vilnius, Lithuania
| | - Kadri Kõivumägi
- Institute of Clinical Medicine, University of Tartu, Tartu, Estonia
| | - Zuzana Kristufkova
- Medical Epidemiologist and Head of Department, Department of Epidemiology, Faculty of Public Health, Slovak Medical University Bratislava, Bratislava, Slovakia
| | - Ernest Kuchar
- Head of Department,Department of Pediatrics with Clinical Assessment Unit, Medical University of Warsaw, Warsaw, Poland
| | - Jan Kyncl
- Medical Epidemiologist and Head of Department, Department of Infectious Diseases Epidemiology, National Institute of Public Health, Prague, Czech Republic
- Department of Epidemiology and Biostatistics, Medicine, Charles University, Prague, Czech Republic
| | - Helena C Maltezou
- Research, Studies, and Documentation, National Public Health Organization, Athens, Greece
| | - Miloš Marković
- Immunology, Institute of Microbiology and Immunology, Medicine, University of Belgrade, Belgrade, Serbia
| | - Aneta Nitsch-Osuch
- Department of Social Medicine and Public Health, Medical University of Warsaw, Warsaw, Poland
| | - Raul Ortiz de Lejarazu
- National Influenza Centre, Hospital Clínico Universitario and University of Valladolid, Valladoild, Spain
| | | | - Jörg Schelling
- Medizinische Klinik IV, Klinikum der Ludwig-Maximilians-Universität München, Deutschland, Europe
| | | | - Dace Zavadska
- Department of Paediatrics, Riga Stradins University, Latvia, Europe
- Family Vaccination Centre, Children's Clinical University Hospital, Riga, Latvia
| |
Collapse
|
2
|
Presser LD, van den Akker WMR, Meijer A. Respiratory Syncytial Virus European Laboratory Network 2022 Survey: Need for Harmonization and Enhanced Molecular Surveillance. J Infect Dis 2024; 229:S34-S39. [PMID: 37578049 DOI: 10.1093/infdis/jiad341] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2023] [Revised: 08/01/2023] [Accepted: 08/10/2023] [Indexed: 08/15/2023] Open
Abstract
Respiratory syncytial virus (RSV) is a common pathogen causing mostly cold-like symptoms, but in very young infants and elderly individuals it can lead to severe disease and even death. There are currently promising developments both in vaccine development and in therapeutics that are expected to be approved soon. To get an impression within European countries of the laboratory diagnostics and surveillance activities, in anticipation of these developments, we queried the members of the European Respiratory Syncytial Virus Laboratory Network (RSV-LabNet, under the umbrella of the PROMISE project) via an online survey. The answers from the consortium members showed scattered monitoring and the application of a broad array of techniques in the laboratories. A majority of the members expressed strong interest in harmonization and collaboration for setting up surveillance programs and the need for sharing laboratory protocols. The additional value of RSV whole-genome sequencing is broadly appreciated, but implementation requires further development and closer collaboration. The RSV-LabNet can have an important responsibility in establishing contacts and exchange of expertise and providing a platform for communication to advance diagnostics, preparedness, and surveillance.
Collapse
Affiliation(s)
- Lance D Presser
- Centre for Infectious Diseases Research, Diagnostics and Laboratory Surveillance, National Institute for Public Health and the Environment, Bilthoven, The Netherlands
| | - Willem M R van den Akker
- Centre for Infectious Diseases Research, Diagnostics and Laboratory Surveillance, National Institute for Public Health and the Environment, Bilthoven, The Netherlands
| | - Adam Meijer
- Centre for Infectious Diseases Research, Diagnostics and Laboratory Surveillance, National Institute for Public Health and the Environment, Bilthoven, The Netherlands
| |
Collapse
|
3
|
Rose AMC, Pozo F, Martínez-Baz I, Mazagatos C, Bossuyt N, Cauchi JP, Petrović G, Loghin II, Vaikutyte R, Buda S, Machado A, Duffy R, Oroszi B, Howard J, Echeverria A, Andreu C, Barbezange C, Džiugytė A, Nonković D, Popescu CP, Majauskaite F, Tolksdorf K, Gomez V, Domegan L, Horváth JK, Castilla J, García M, Demuyser T, Borg ML, Tabain I, Lazar M, Kubiliute I, Dürrwald R, Guiomar R, O'Donnell J, Kristóf K, Nicolay N, Bacci S, Kissling E. Vaccine effectiveness against influenza hospitalisation in adults during the 2022/2023 mixed season of influenza A(H1N1)pdm09, A(H3N2) and B circulation, Europe: VEBIS SARI VE hospital network. Influenza Other Respir Viruses 2024; 18:e13255. [PMID: 38403302 PMCID: PMC10894713 DOI: 10.1111/irv.13255] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2023] [Revised: 01/05/2024] [Accepted: 01/08/2024] [Indexed: 02/27/2024] Open
Abstract
We conducted a multicentre hospital-based test-negative case-control study to measure vaccine effectiveness (VE) against PCR-confirmed influenza in adult patients with severe acute respiratory infection (SARI) during the 2022/2023 influenza season in Europe. Among 5547 SARI patients ≥18 years, 2963 (53%) were vaccinated against influenza. Overall VE against influenza A(H1N1)pdm09 was 11% (95% CI: -23-36); 20% (95% CI: -4-39) against A(H3N2) and 56% (95% CI: 22-75) against B. During the 2022/2023 season, while VE against hospitalisation with influenza B was >55%, it was ≤20% for influenza A subtypes. While influenza vaccination should be a priority for future seasons, improved vaccines against influenza are needed.
Collapse
Affiliation(s)
| | - Francisco Pozo
- National Centre for Microbiology, Institute of Health Carlos III, Madrid, Spain
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain
| | - Iván Martínez-Baz
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain
- Instituto de Salud Pública de Navarra-IdiSNA, Pamplona, Spain
| | - Clara Mazagatos
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain
- National Centre for Epidemiology, Institute of Health Carlos III, Madrid, Spain
| | | | - John Paul Cauchi
- Department for Health Regulation, Health Promotion and Disease Prevention, Msida, Malta
| | | | - Isabela I Loghin
- St Parascheva Clinical Hospital of Infectious Diseases, Iasi, Romania
| | | | | | - Ausenda Machado
- National Institute of Health Dr Ricardo Jorge, Lisbon, Portugal
| | - Róisín Duffy
- Health Service Executive-Health Protection Surveillance Centre, Dublin, Ireland
| | | | | | - Aitziber Echeverria
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain
- Instituto de Salud Pública de Navarra-IdiSNA, Pamplona, Spain
| | - Cristina Andreu
- Subdirección de Epidemiología, Dirección General de Salud Pública, Servicio Extremeño de Salud, Mérida, Spain
| | | | - Aušra Džiugytė
- Department for Health Regulation, Health Promotion and Disease Prevention, Msida, Malta
| | - Diana Nonković
- Teaching Public Health Institute of Split-Dalmatia County, Split, Croatia
| | - Corneliu-Petru Popescu
- Dr Victor Babes Clinical Hospital of Infectious and Tropical Diseases, Bucharest, Romania
| | - Fausta Majauskaite
- Institute of Clinical Medicine, Medical Faculty, Vilnius University, Vilnius, Lithuania
| | | | - Verónica Gomez
- National Institute of Health Dr Ricardo Jorge, Lisbon, Portugal
| | - Lisa Domegan
- Health Service Executive-Health Protection Surveillance Centre, Dublin, Ireland
| | | | - Jesús Castilla
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain
- Instituto de Salud Pública de Navarra-IdiSNA, Pamplona, Spain
| | - Miriam García
- Dirección General de Salud Pública, Departamento de Sanidad, Gobierno de Aragón, Zaragoza, Spain
| | - Thomas Demuyser
- Department of Microbiology and Infection control, UZ Brussel, Brussels, Belgium
| | - Maria-Louise Borg
- Department for Health Regulation, Health Promotion and Disease Prevention, Msida, Malta
| | - Irena Tabain
- Croatian Institute of Public Health, Zagreb, Croatia
| | - Mihaela Lazar
- "Cantacuzino" National Military-Medical Institute for Research and Development, Bucharest, Romania
| | - Ieva Kubiliute
- Institute of Clinical Medicine, Medical Faculty, Vilnius University, Vilnius, Lithuania
| | | | - Raquel Guiomar
- National Institute of Health Dr Ricardo Jorge, Lisbon, Portugal
| | - Joan O'Donnell
- Health Service Executive-Health Protection Surveillance Centre, Dublin, Ireland
| | | | - Nathalie Nicolay
- European Centre for Disease Prevention and Control, Stockholm, Sweden
| | - Sabrina Bacci
- European Centre for Disease Prevention and Control, Stockholm, Sweden
| | | |
Collapse
|
4
|
Mazagatos C, Delgado-Sanz C, Milagro A, Liébana-Rodríguez M, Larrauri A. Impact of Influenza Vaccination on the Burden of Severe Influenza in the Elderly: Spain, 2017-2020. Vaccines (Basel) 2023; 11:1110. [PMID: 37376499 DOI: 10.3390/vaccines11061110] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2023] [Revised: 06/14/2023] [Accepted: 06/15/2023] [Indexed: 06/29/2023] Open
Abstract
Annual influenza vaccination is the main strategy to reduce the burden of seasonal influenza epidemics and is recommended for the elderly in most countries with influenza vaccination strategies, with the main objective of preventing hospitalizations and mortality associated with seasonal influenza in this age group. Studies from different countries have estimated the benefits of seasonal influenza vaccination programs in the elderly, preventing a considerable number of cases, hospitalizations and deaths every year. A study measured the number of medically attended confirmed influenza cases in primary care that are prevented annually by vaccination in the population aged 65 and older in Spain, the Netherlands and Portugal, but estimates of the impact of the national influenza vaccination program in the prevention of severe disease in Spain are lacking. The two objectives of this study were to estimate the burden of severe influenza disease in the Spanish population and to measure the impact of influenza vaccination in the prevention of these outcomes in the population aged 65 years and older. Using influenza surveillance systems put in place before the COVID-19 pandemic, we conducted a retrospective observational study to estimate the burden of hospitalizations and ICU admissions in Spain between 2017-18 and 2019-20, by season and age group. Burden estimates for the 65+ group, combined with vaccine effectiveness (VE) and vaccination coverage (VC) data, were used as input data in an ecological, observational study to estimate the impact of the influenza vaccination program on the elderly. We found a higher burden of severe influenza disease in seasons 2017-18 and 2018-19, with A(H3N2) circulation, and in the youngest and oldest age groups. In those aged 65 and older, we estimated an average of 9900 influenza hospitalizations and 1541 ICU admissions averted by vaccination each year. Seasonal influenza vaccination was able to prevent between 11 and 26% influenza hospitalizations and around 40% ICU admissions in the elderly in the three pre-pandemic seasons. In conclusion, our study complements previous analyses in the primary care setting in Spain and demonstrates the benefits of the annual influenza vaccination program in the prevention of severe influenza disease in the elderly, even in seasons with moderate VE.
Collapse
Affiliation(s)
- Clara Mazagatos
- National Centre of Epidemiology, Institute of Health Carlos III, 28029 Madrid, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), 28029 Madrid, Spain
| | - Concepción Delgado-Sanz
- National Centre of Epidemiology, Institute of Health Carlos III, 28029 Madrid, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), 28029 Madrid, Spain
| | - Ana Milagro
- Miguel Servet University Hospital, Microbiology, 50009 Zaragoza, Spain
- Health Research Institute Aragón, 50009 Zaragoza, Spain
| | - María Liébana-Rodríguez
- Servicio Medicina Preventiva, Hospital Universitario Virgen de las Nieves, 18014 Granada, Spain
| | - Amparo Larrauri
- National Centre of Epidemiology, Institute of Health Carlos III, 28029 Madrid, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), 28029 Madrid, Spain
| |
Collapse
|
5
|
Jones-Gray E, Robinson EJ, Kucharski AJ, Fox A, Sullivan SG. Does repeated influenza vaccination attenuate effectiveness? A systematic review and meta-analysis. Lancet Respir Med 2023; 11:27-44. [PMID: 36152673 PMCID: PMC9780123 DOI: 10.1016/s2213-2600(22)00266-1] [Citation(s) in RCA: 15] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 04/07/2022] [Revised: 07/13/2022] [Accepted: 07/13/2022] [Indexed: 01/11/2023]
Abstract
BACKGROUND Influenza vaccines require annual readministration; however, several reports have suggested that repeated vaccination might attenuate the vaccine's effectiveness. We aimed to estimate the reduction in vaccine effectiveness associated with repeated influenza vaccination. METHODS In this systematic review and meta-analysis, we searched MEDLINE, EMBASE, and CINAHL Complete databases for articles published from Jan 1, 2016, to June 13, 2022, and Web of Science for studies published from database inception to June 13, 2022. For studies published before Jan 1, 2016, we consulted published systematic reviews. Two reviewers (EJ-G and EJR) independently screened, extracted data using a data collection form, assessed studies' risk of bias using the Risk Of Bias In Non-Randomized Studies of Interventions (ROBINS-I) and evaluated the weight of evidence by Grading of Recommendations Assessment, Development, and Evaluation (GRADE). We included observational studies and randomised controlled trials that reported vaccine effectiveness against influenza A(H1N1)pdm09, influenza A(H3N2), or influenza B using four vaccination groups: current season; previous season; current and previous seasons; and neither season (reference). For each study, we calculated the absolute difference in vaccine effectiveness (ΔVE) for current season only and previous season only versus current and previous season vaccination to estimate attenuation associated with repeated vaccination. Pooled vaccine effectiveness and ∆VE were calculated by season, age group, and overall. This study is registered with PROSPERO, CRD42021260242. FINDINGS We identified 4979 publications, selected 681 for full review, and included 83 in the systematic review and 41 in meta-analyses. ΔVE for vaccination in both seasons compared with the current season was -9% (95% CI -16 to -1, I2=0%; low certainty) for influenza A(H1N1)pdm09, -18% (-26 to -11, I2=7%; low certainty) for influenza A(H3N2), and -7% (-14 to 0, I2=0%; low certainty) for influenza B, indicating lower protection with consecutive vaccination. However, for all types, A subtypes and B lineages, vaccination in both seasons afforded better protection than not being vaccinated. INTERPRETATION Our estimates suggest that, although vaccination in the previous year attenuates vaccine effectiveness, vaccination in two consecutive years provides better protection than does no vaccination. The estimated effects of vaccination in the previous year are concerning and warrant additional investigation, but are not consistent or severe enough to support an alternative vaccination regimen at this time. FUNDING WHO and the US National Institutes of Health.
Collapse
Affiliation(s)
- Elenor Jones-Gray
- Department of Infectious Diseases, University of Melbourne, Melbourne, VIC, Australia
| | - Elizabeth J Robinson
- Department of Infectious Diseases, University of Melbourne, Melbourne, VIC, Australia
| | - Adam J Kucharski
- Centre for the Mathematical Modelling of Infectious Diseases (CMMID), London School of Hygiene and Tropical Medicine, London, UK
| | - Annette Fox
- Department of Infectious Diseases, University of Melbourne, Melbourne, VIC, Australia; WHO Collaborating Centre for Reference and Research on Influenza, Royal Melbourne Hospital, Peter Doherty Institute for Infection and Immunity, Melbourne, VIC, Australia
| | - Sheena G Sullivan
- Department of Infectious Diseases, University of Melbourne, Melbourne, VIC, Australia; WHO Collaborating Centre for Reference and Research on Influenza, Royal Melbourne Hospital, Peter Doherty Institute for Infection and Immunity, Melbourne, VIC, Australia; Department of Epidemiology, University of California, Los Angeles, CA, USA.
| |
Collapse
|
6
|
Stuurman AL, Levi M, Beutels P, Bricout H, Descamps A, Dos Santos G, McGovern I, Mira‐Iglesias A, Nauta J, Torcel‐Pagnon L, Biccler J. Investigating confounding in network-based test-negative design influenza vaccine effectiveness studies-Experience from the DRIVE project. Influenza Other Respir Viruses 2022; 17:e13087. [PMID: 36550627 PMCID: PMC9835455 DOI: 10.1111/irv.13087] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2022] [Revised: 11/22/2022] [Accepted: 11/23/2022] [Indexed: 12/24/2022] Open
Abstract
BACKGROUND Establishing a large study network to conduct influenza vaccine effectiveness (IVE) studies while collecting appropriate variables to account for potential bias is important; the most relevant variables should be prioritized. We explored the impact of potential confounders on IVE in the DRIVE multi-country network of sites conducting test-negative design (TND) studies. METHODS We constructed a directed acyclic graph (DAG) to map the relationship between influenza vaccination, medically attended influenza infection, confounders, and other variables. Additionally, we used the Development of Robust and Innovative Vaccines Effectiveness (DRIVE) data from the 2018/2019 and 2019/2020 seasons to explore the effect of covariate adjustment on IVE estimates. The reference model was adjusted for age, sex, calendar time, and season. The covariates studied were presence of at least one, two, or three chronic diseases; presence of six specific chronic diseases; and prior healthcare use. Analyses were conducted by site and subsequently pooled. RESULTS The following variables were included in the DAG: age, sex, time within influenza season and year, health status and comorbidities, study site, health-care-seeking behavior, contact patterns and social precautionary behavior, socioeconomic status, and pre-existing immunity. Across all age groups and settings, only adjustment for lung disease in older adults in the primary care setting resulted in a relative change of the IVE point estimate >10%. CONCLUSION Our study supports a parsimonious approach to confounder adjustment in TND studies, limited to adjusting for age, sex, and calendar time. Practical implications are that necessitating fewer variables lowers the threshold for enrollment of sites in IVE studies and simplifies the pooling of data from different IVE studies or study networks.
Collapse
Affiliation(s)
- Anke L. Stuurman
- P95 Epidemiology and PharmacovigilanceLeuvenBelgium,Centre for Health Economics Research and Modelling Infectious Diseases, Vaccine and Infectious Disease InstituteUniversity of AntwerpAntwerpBelgium
| | - Miriam Levi
- Epidemiology Unit, Department of PreventionTuscany Centre Health AuthorityFlorenceItaly
| | - Philippe Beutels
- Centre for Health Economics Research and Modelling Infectious Diseases, Vaccine and Infectious Disease InstituteUniversity of AntwerpAntwerpBelgium
| | | | - Alexandre Descamps
- Inserm CIC 1417, Assistance Publique Hôpitaux de Paris, Hôpital CochinUniversité de ParisParisFrance
| | | | - Ian McGovern
- Center or Outcomes Research and Epidemiology, Medical AffairsSeqirus Inc.CambridgeMassachusettsUSA
| | - Ainara Mira‐Iglesias
- Vaccine Research DepartmentFoundation for the Promotion of Health and Biomedical Research of Valencia Region (FISABIO – Public Health)ValenciaSpain
| | - Jos Nauta
- Department of Innovation & Development, Established Pharmaceuticals DivisionAbbott Healthcare Products B.V.WeespThe Netherlands
| | | | | | | |
Collapse
|
7
|
Picard E, Armstrong S, Andrew MK, Haynes L, Loeb M, Pawelec G, Kuchel GA, McElhaney JE, Verschoor CP. Markers of systemic inflammation are positively associated with influenza vaccine antibody responses with a possible role for ILT2(+)CD57(+) NK-cells. Immun Ageing 2022; 19:26. [PMID: 35619117 PMCID: PMC9134679 DOI: 10.1186/s12979-022-00284-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2021] [Accepted: 05/15/2022] [Indexed: 02/06/2023]
Abstract
Background With increasing age, overall health declines while systemic levels of inflammatory mediators tend to increase. Although the underlying mechanisms are poorly understood, there is a wealth of data suggesting that this so-called “inflammaging” contributes to the risk of adverse outcomes in older adults. We sought to determine whether markers of systemic inflammation were associated with antibody responses to the seasonal influenza vaccine. Results Over four seasons, hemagglutination inhibition antibody titres and ex vivo bulk peripheral blood mononuclear cell (PBMC) responses to live influenza viruses assessed via interferon (IFN)-γ/interleukin (IL)-10 production, were measured pre- and 4-weeks post-vaccination in young adults (n = 79) and older adults randomized to standard- or high-dose inactivated vaccine (n = 612). Circulating tumour necrosis factor (TNF), interleukin (IL)-6 and C-reactive protein (CRP) were also measured pre-vaccination. Post-vaccination antibody titres were significantly associated with systemic inflammatory levels; specifically, IL-6 was positively associated with A/H3N2 titres in young adults (Cohen’s d = 0.36), and in older high-dose, but not standard-dose recipients, all systemic inflammatory mediators were positively associated with A/H1N1, A/H3N2 and B titres (d = 0.10–0.45). We further show that the frequency of ILT2(+)CD57(+) CD56-Dim natural killer (NK)-cells was positively associated with both plasma IL-6 and post-vaccination A/H3N2 titres in a follow-up cohort of older high-dose recipients (n = 63). Pathway analysis suggested that ILT2(+)CD57(+) Dim NK-cells mediated 40% of the association between IL-6 and A/H3N2 titres, which may be related to underlying participant frailty. Conclusions In summary, our data suggest a complex relationship amongst influenza vaccine responses, systemic inflammation and NK-cell phenotype in older adults, which depends heavily on age, vaccine dose and possibly overall health status. While our results suggest that “inflammaging” may increase vaccine immunogenicity in older adults, it is yet to be determined whether this enhancement contributes to improved protection against influenza disease. Supplementary Information The online version contains supplementary material available at 10.1186/s12979-022-00284-x.
Collapse
|
8
|
Hernández-Hernández VA, Higuera-Iglesias AL, Palma-Cortes G, Tapia-Trejo D, Ávila-Ríos S, González-Fernández RR, Pérez-Moreno LÁ, Zuñiga-Ramos JA, Guadarrama-Pérez C, Sandoval-Gutiérrez JL, Cabello-Gutiérrez C. A(H3N2) antigenic variation of influenza is associated with low vaccine efficacy in the early 2018 influenza season in Mexico City. Int J Infect Dis 2022; 125:114-119. [PMID: 36283676 DOI: 10.1016/j.ijid.2022.10.029] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2022] [Revised: 09/28/2022] [Accepted: 10/18/2022] [Indexed: 11/07/2022] Open
Abstract
OBJECTIVES We evaluated the VE and the mutations of the viruses present in the Mexican population at the beginning of 2018. METHODS We diagnosed influenza in outpatients with a high-performance Rapid Influenza Diagnostic Test (RIDT) qRT-PCR. Descriptive statistics were used to describe the study population, while the chi-square test was used to determine clinical variables. VE was analyzed through a negative test design. We sequenced the hemagglutinin (HA) gene, performed a phylogenetic analysis, and analyzed the nonsynonymous substitutions both in and outside antigenic sites. RESULTS Of the 240 patients analyzed, 42.5% received the trivalent vaccine, and 37.5% were positive for influenza. The VE for the general population for any influenza virus type or subtype was 37.0%, while the VE for the predominant influenza A(H3N2) subtype was the lowest (19.7%). The phylogenetic analysis of HA showed the co-circulation of clades and subclades 3C.2a1, 3C.2a1b, 3C.2a2, 3C.2a2re, 3C.2a3, and 3C.3a with identities approximately 97-98% similar to the vaccine composition. CONCLUSION Low VE was related to the co-circulation of multiple clades and subclades of influenza A(H3N2), with sufficient genetic and phenotypic distance to allow for the infection of vaccinated individuals.
Collapse
Affiliation(s)
- Victor Alberto Hernández-Hernández
- National Institute of Respiratory Diseases "Ismael Cosio Villegas" (INER), Department of Research in Virology and Mycology, Mexico City, Mexico; National Autonomous University of Mexico, Postgraduate in Biological Sciences, Faculty of Medicine, Mexico City, Mexico
| | - Anjarath Lorena Higuera-Iglesias
- National Institute of Respiratory Diseases "Ismael Cosio Villegas" (INER), Research in Clinical Epidemiology, Mexico City, Mexico
| | - Gabriel Palma-Cortes
- National Institute of Respiratory Diseases "Ismael Cosio Villegas" (INER), Department of Research in Virology and Mycology, Mexico City, Mexico
| | - Daniela Tapia-Trejo
- National Institute of Respiratory Diseases "Ismael Cosio Villegas" (INER), Infectious Disease Research Center, Mexico City, Mexico
| | - Santiago Ávila-Ríos
- National Institute of Respiratory Diseases "Ismael Cosio Villegas" (INER), Infectious Disease Research Center, Mexico City, Mexico
| | - Rubén Roberto González-Fernández
- National Institute of Respiratory Diseases "Ismael Cosio Villegas" (INER), Department of Research in Virology and Mycology, Mexico City, Mexico
| | - Luis Ángel Pérez-Moreno
- National Institute of Respiratory Diseases "Ismael Cosio Villegas" (INER), Department of Research in Virology and Mycology, Mexico City, Mexico
| | - Joaquín Alejandro Zuñiga-Ramos
- National Institute of Respiratory Diseases "Ismael Cosio Villegas" (INER), Immunobiology and Genetics Laboratory, Mexico City, Mexico; Tecnologico de Monterrey, School of Medicine and Health Sciences, Mexico City, Mexico
| | - Cristóbal Guadarrama-Pérez
- National Institute of Respiratory Diseases "Ismael Cosio Villegas" (INER), Institutional Influenza Committee, Mexico City, Mexico
| | - José Luis Sandoval-Gutiérrez
- National Institute of Respiratory Diseases "Ismael Cosio Villegas" (INER), Institutional Influenza Committee, Mexico City, Mexico
| | - Carlos Cabello-Gutiérrez
- National Institute of Respiratory Diseases "Ismael Cosio Villegas" (INER), Department of Research in Virology and Mycology, Mexico City, Mexico.
| |
Collapse
|
9
|
Halme J, Syrjänen RK, Baum U, Palmu AA. Effectiveness of trivalent influenza vaccines against hospitalizations due to laboratory-confirmed influenza a in the elderly: Comparison of test-negative design with register-based designs. Vaccine 2022; 40:4242-4252. [PMID: 35691869 DOI: 10.1016/j.vaccine.2022.05.080] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2022] [Revised: 05/10/2022] [Accepted: 05/27/2022] [Indexed: 12/01/2022]
Abstract
INTRODUCTION Measuring influenza vaccine effectiveness (IVE) seasonally is important and has been conducted utilizing several observational study designs. The active test-negative design has been most widely used and the validity of passive register-based studies has been debated. We aimed to explore the potential differences, advantages, and weaknesses of different study designs in estimating influenza vaccine effectiveness. METHODS We compared three study designs in estimating IVE against hospitalization in the elderly aged 65 years or more over three influenza seasons 2015/16, 2016/17 and 2017/18. Designs compared were active test-negative design (TND), register-based cohort design and register-based case-control design with different selection criteria for cases and controls. RESULTS Adjusted IVE estimates for the three consecutive seasons 2015-18 in active test-negative design were 82% (95% confidence interval 26, 96), 21% (-179, 77), 15% (-113, 66). For case-control design, estimates from different analyses ranged in 2015/16 from 47% (-16, 76) to 52% (-48, 84), in 2016/17 from 10% (-42, 43) to 29% (-20, 58), and in 2017/18 from -27% (-91, 15) to 1% (-40, 30). In the cohort design, the adjusted IVE estimates were 48% (-9, 75), 29% (1, 49), 13% (-21, 37) for the three seasons. CONCLUSIONS The register-based cohort design produced results more concordant with the active test-negative design than the case-control design. Furthermore, the register-based cohort design yielded most precise estimates with narrower confidence intervals. In Finland with the availability of near real-time nationwide register data, the register-based cohort design is the method of choice to continue the annual surveillance of influenza vaccine effectiveness.
Collapse
Affiliation(s)
- Jussi Halme
- Faculty of Medicine and Health Technology, Tampere University, Arvo Ylpön katu 34, 33520 Tampere, Finland; Department of Public Health and Welfare, Finnish Institute for Health and Welfare, Biokatu 6, 33520 Tampere, Finland
| | - Ritva K Syrjänen
- Department of Public Health and Welfare, Finnish Institute for Health and Welfare, Biokatu 6, 33520 Tampere, Finland.
| | - Ulrike Baum
- Department of Health Security, Finnish Institute for Health and Welfare, Mannerheimintie 166, 00300 Helsinki, Finland
| | - Arto A Palmu
- Department of Public Health and Welfare, Finnish Institute for Health and Welfare, Biokatu 6, 33520 Tampere, Finland
| |
Collapse
|
10
|
Mazagatos C, Delgado-Sanz C, Monge S, Pozo F, Oliva J, Sandonis V, Gandarillas A, Quiñones-Rubio C, Ruiz-Sopeña C, Gallardo-García V, Basile L, Barranco-Boada MI, Hidalgo-Pardo O, Vazquez-Cancela O, García-Vázquez M, Fernández-Sierra A, Milagro-Beamonte A, Ordobás M, Martínez-Ochoa E, Fernández-Arribas S, Lorusso N, Martínez A, García-Fulgueiras A, Sastre-Palou B, Losada-Castillo I, Martínez-Cuenca S, Rodríguez-Del Águila M, Latorre M, Larrauri A. COVID-19 vaccine effectiveness against hospitalization due to SARS-CoV-2: A test-negative design study based on Severe Acute Respiratory Infection (SARI) sentinel surveillance in Spain. Influenza Other Respir Viruses 2022; 16:1014-1025. [PMID: 35880469 PMCID: PMC9350393 DOI: 10.1111/irv.13026] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2022] [Revised: 07/05/2022] [Accepted: 07/07/2022] [Indexed: 11/26/2022] Open
Abstract
Background With the emergence of SARS‐CoV‐2, influenza surveillance systems in Spain were transformed into a new syndromic sentinel surveillance system. The Acute Respiratory Infection Surveillance System (SiVIRA in Spanish) is based on a sentinel network for acute respiratory infection (ARI) surveillance in primary care and a network of sentinel hospitals for severe ARI (SARI) surveillance in hospitals. Methods Using a test‐negative design and data from SARI admissions notified to SiVIRA between January 1 and October 3, 2021, we estimated COVID‐19 vaccine effectiveness (VE) against hospitalization, by age group, vaccine type, time since vaccination, and SARS‐CoV‐2 variant. Results VE was 89% (95% CI: 83–93) against COVID‐19 hospitalization overall in persons aged 20 years and older. VE was higher for mRNA vaccines, and lower for those aged 80 years and older, with a decrease in protection beyond 3 months of completing vaccination, and a further decrease after 5 months. We found no differences between periods with circulation of Alpha or Delta SARS‐CoV‐2 variants, although variant‐specific VE was slightly higher against Alpha. Conclusions The SiVIRA sentinel hospital surveillance network in Spain was able to describe clinical and epidemiological characteristics of SARI hospitalizations and provide estimates of COVID‐19 VE in the population under surveillance. Our estimates add to evidence of high effectiveness of mRNA vaccines against severe COVID‐19 and waning of protection with time since vaccination in those aged 80 or older. No substantial differences were observed between SARS‐CoV‐2 variants (Alpha vs. Delta).
Collapse
Affiliation(s)
- Clara Mazagatos
- National Centre for Epidemiology, Institute of Health Carlos III, Madrid, Spain.,Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain
| | - Concepción Delgado-Sanz
- National Centre for Epidemiology, Institute of Health Carlos III, Madrid, Spain.,Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain
| | - Susana Monge
- National Centre for Epidemiology, Institute of Health Carlos III, Madrid, Spain.,Consortium for Biomedical Research in Infectious Diseases (CIBERINFEC), Madrid, Spain
| | - Francisco Pozo
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain.,National Centre for Microbiology, Institute of Health Carlos III, Madrid, Spain
| | - Jesús Oliva
- National Centre for Epidemiology, Institute of Health Carlos III, Madrid, Spain.,Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain
| | - Virginia Sandonis
- National Centre for Microbiology, Institute of Health Carlos III, Madrid, Spain
| | - Ana Gandarillas
- Subdirección General de Epidemiología, Dirección General de Salud Pública, Madrid, Spain
| | - Carmen Quiñones-Rubio
- Servicio de Epidemiología y Prevención Sanitaria, Dirección General de Salud Pública, Consumo y Cuidados, Logroño, Spain
| | | | - Virtudes Gallardo-García
- Dirección General de Salud Pública y Ordenación Farmacéutica, Junta de Andalucía, Seville, Spain
| | - Luca Basile
- Subdirección General de Vigilancia y Respuesta a Emergencias de Salud Pública, Agencia de Salud Pública, Catalonia, Spain
| | | | - Olga Hidalgo-Pardo
- Servicio de Medicina Preventiva Hospital Universitario Son Espases, Servicio de Epidemiología, Consellería de Salut, Palma, Spain
| | - Olalla Vazquez-Cancela
- Servicio de Medicina Preventiva, Complejo Hospitalario Universitario de Santiago, Santiago de Compostela, Spain
| | - Miriam García-Vázquez
- Vigilancia Epidemiológica, Dirección General de Salud Pública, Departamento de Sanidad, Gobierno de Aragón, Zaragoza, Spain
| | | | - Ana Milagro-Beamonte
- Laboratorio de Microbiología, Hospital Universitario Miguel Servet, Zaragoza, Spain.,Instituto de Investigación Sanitaria Aragón (IIS Aragón), Zaragoza, Spain
| | - María Ordobás
- Subdirección General de Epidemiología, Dirección General de Salud Pública, Madrid, Spain
| | - Eva Martínez-Ochoa
- Servicio de Epidemiología y Prevención Sanitaria, Dirección General de Salud Pública, Consumo y Cuidados, Logroño, Spain
| | | | - Nicola Lorusso
- Dirección General de Salud Pública y Ordenación Farmacéutica, Junta de Andalucía, Seville, Spain
| | - Ana Martínez
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain.,Subdirección General de Vigilancia y Respuesta a Emergencias de Salud Pública, Agencia de Salud Pública, Catalonia, Spain
| | - Ana García-Fulgueiras
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain.,Servicio de Epidemiología, Dirección General de Salud Pública, Consejería de Salud, Murcia, Spain
| | - Bartolomé Sastre-Palou
- Servicio de Medicina Preventiva Hospital Universitario Son Espases, Servicio de Epidemiología, Consellería de Salut, Palma, Spain
| | - Isabel Losada-Castillo
- Servizo de Epidemioloxía, Dirección Xeral de Saúde Pública, Consellería de Sanidade, Xunta de Galicia, Galicia, Spain
| | - Silvia Martínez-Cuenca
- Vigilancia Epidemiológica, Dirección General de Salud Pública, Departamento de Sanidad, Gobierno de Aragón, Zaragoza, Spain
| | | | - Miriam Latorre
- Laboratorio de Microbiología, Hospital Universitario Miguel Servet, Zaragoza, Spain.,Instituto de Investigación Sanitaria Aragón (IIS Aragón), Zaragoza, Spain
| | - Amparo Larrauri
- National Centre for Epidemiology, Institute of Health Carlos III, Madrid, Spain.,Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain
| | | |
Collapse
|
11
|
Brown SK, Tseng YY, Aziz A, Baz M, Barr IG. Characterization of influenza B viruses with reduced susceptibility to influenza neuraminidase inhibitors. Antiviral Res 2022;:105280. [PMID: 35304163 DOI: 10.1016/j.antiviral.2022.105280] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2021] [Revised: 02/11/2022] [Accepted: 03/07/2022] [Indexed: 01/22/2023]
Abstract
A total of 3425 influenza B viruses collected from the Asia-Pacific region were tested against the four registered neuraminidase inhibitors (NAIs) (oseltamivir carboxylate, zanamivir, peramivir and laninamivir) as part of the routine surveillance work at the WHO Collaborating Centre for Research and Reference on Influenza, Melbourne between 2016 and 2020. Forty-five influenza B viruses with reduced susceptibility to one or more NAIs were identified. While the majority of these had neuraminidase (NA) mutations that were known to confer NAIs resistance, fifteen had NA mutations that had not been confirmed as being responsible for reduced NAIs susceptibility. Eleven of these NA mutations of concern were investigated using reverse genetics (RG) techniques to verify that these mutations were the cause of the reduced NAI susceptibility. All mutations were introduced separately into the NA of B/Brisbane/27/2016 (a B Victoria-lineage virus) or B/Yamanashi/166/98 (a B Yamagata-lineage virus) and the effects of these were analysed by an in vitro NAI assay. The T146K substitution in the NA of B Victoria and Yamagata-lineages resulted in a large increase in the IC50 for peramivir (>1000-fold increase in the mean IC50 of sensitive viruses with T146) with smaller increases for zanamivir and oseltamivir. A proline substitution (T146P) had a slightly lower (>700-fold) effect on the peramivir IC50 and also on the other NAIs. The presence of a second NA mutation at N169S combined with the T146P further increased the IC50 of peramivir (>7000-fold) and the other NAIs. A synergistic effect was also confirmed for dual NA mutations with G247D + I361V which showed a modest increase in the IC50 for oseltamivir (6-fold). Only one of two RG-viruses with the mutation G108E could be rescued and it had a high IC50 against zanamivir (>4000-fold) and laninamivir (>7000-fold), but a lower IC50 against oseltamivir (>200-fold). NA mutations H101L, A200T, D432G, H439P and H439R were also confirmed to somewhat reduce the in vitro susceptibility of influenza B viruses to the NAIs. Overall, this study identifies the potential impact of selected mutations on the clinical performance of NAIs when used to treat influenza B infection in humans.
Collapse
|
12
|
Baum U, Kulathinal S, Auranen K. Spotlight influenza: Estimation of influenza vaccine effectiveness in elderly people with assessment of residual confounding by negative control outcomes, Finland, 2012/13 to 2019/20. Euro Surveill 2021; 26. [PMID: 34505568 PMCID: PMC8431990 DOI: 10.2807/1560-7917.es.2021.26.36.2100054] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Background Cohort studies on vaccine effectiveness are prone to confounding bias if the distribution of risk factors is unbalanced between vaccinated and unvaccinated study subjects. Aim We aimed to estimate influenza vaccine effectiveness in the elderly population in Finland by controlling for a sufficient set of confounders based on routinely available register data. Methods For each of the eight consecutive influenza seasons from 2012/13 through 2019/20, we conducted a cohort study comparing the hazards of laboratory-confirmed influenza in vaccinated and unvaccinated people aged 65–100 years using individual-level medical and demographic data. Vaccine effectiveness was estimated as 1 minus the hazard ratio adjusted for the confounders age, sex, vaccination history, nights hospitalised in the past and presence of underlying chronic conditions. To assess the adequacy of the selected set of confounders, we estimated hazard ratios of off-season hospitalisation for acute respiratory infection as a negative control outcome. Results Each analysed cohort comprised around 1 million subjects, of whom 37% to 49% were vaccinated. Vaccine effectiveness against laboratory-confirmed influenza ranged from 16% (95% confidence interval (CI): 12–19) to 48% (95% CI: 41–54). More than 80% of the laboratory-confirmed cases were hospitalised. The adjusted off-season hazard ratio estimates varied between 1.00 (95% CI: 0.94–1.05) and 1.08 (95% CI: 1.01–1.15), indicating that residual confounding was absent or negligible. Conclusion Seasonal influenza vaccination reduces the hazard of severe influenza disease in vaccinated elderly people. Data about age, sex, vaccination history and utilisation of hospital care proved sufficient to control confounding.
Collapse
Affiliation(s)
- Ulrike Baum
- Department of Health Security, Finnish Institute for Health and Welfare, Helsinki, Finland
| | - Sangita Kulathinal
- Department of Mathematics and Statistics, University of Helsinki, Helsinki, Finland
| | - Kari Auranen
- Department of Mathematics and Statistics, University of Turku, Turku, Finland.,Department of Clinical Medicine, University of Turku, Turku, Finland
| |
Collapse
|
13
|
Martínez-Baz I, Navascués A, Portillo ME, Casado I, Fresán U, Ezpeleta C, Castilla J. Effect of Influenza Vaccination in Preventing Laboratory-Confirmed Influenza Hospitalization in Patients With Diabetes Mellitus. Clin Infect Dis 2021; 73:107-114. [PMID: 32412600 DOI: 10.1093/cid/ciaa564] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2020] [Accepted: 05/08/2020] [Indexed: 01/07/2023] Open
Abstract
BACKGROUND People with diabetes are at high risk of severe influenza complications. The influenza vaccination effect among diabetic patients remains inconclusive. We estimated the average effect of influenza vaccination status in the current and prior seasons in preventing laboratory-confirmed influenza hospitalization in diabetic patients. METHODS Patients attended in hospitals and primary healthcare centers with influenza-like illness were tested for influenza from the 2013-2014 to 2018-2019 seasons in Navarre, Spain. A test-negative case-control design in diabetic inpatients compared the influenza vaccination status in the current and 5 prior seasons between laboratory-confirmed influenza cases and negative controls. Vaccination status of influenza-confirmed cases was compared between diabetic inpatients and outpatients. Influenza vaccination effect was compared between diabetic patients and older (≥ 60 years) or chronic nondiabetic patients. RESULTS Of 1670 diabetic inpatients tested, 569 (34%) were confirmed for influenza and 1101 were test-negative controls. The average effect in preventing influenza hospitalization was 46% (95% confidence interval [CI], 28%-59%) for current-season vaccination and 44% (95% CI, 20%-61%) for vaccination in prior seasons only in comparison to unvaccinated patients in the current and prior seasons. Among diabetic patients with confirmed influenza, current-season vaccination reduced the probability of hospitalization (adjusted odds ratio, 0.35; 95% CI, .15-.79). In diabetic patients, vaccination effect against influenza hospitalizations was not inferior to that in older or chronic nondiabetic patients. CONCLUSIONS On average, influenza vaccination of diabetic population reduced by around half the risk of influenza hospitalization. Vaccination in prior seasons maintained a notable protective effect. These results reinforce the recommendation of influenza vaccination for diabetic patients.
Collapse
Affiliation(s)
- Iván Martínez-Baz
- Instituto de Salud Pública de Navarra - IdiSNA, Pamplona, Spain.,Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Ana Navascués
- Clinical Microbiology Department, Complejo Hospitalario de Navarra - IdiSNA, Pamplona, Spain
| | - María Eugenia Portillo
- Clinical Microbiology Department, Complejo Hospitalario de Navarra - IdiSNA, Pamplona, Spain
| | - Itziar Casado
- Instituto de Salud Pública de Navarra - IdiSNA, Pamplona, Spain.,Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Ujué Fresán
- Instituto de Salud Pública de Navarra - IdiSNA, Pamplona, Spain.,Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Carmen Ezpeleta
- Clinical Microbiology Department, Complejo Hospitalario de Navarra - IdiSNA, Pamplona, Spain
| | - Jesús Castilla
- Instituto de Salud Pública de Navarra - IdiSNA, Pamplona, Spain.,Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| |
Collapse
|
14
|
Marano G, Boracchi P, Luconi E, Pariani E, Pellegrinelli L, Galli C, Gandolfi CE, Magoni M, Piro A, Scarcella C, Castaldi S, Biganzoli EM. Evaluation of influenza vaccination efficacy in reducing influenza-related complications and excess mortality in Northern Italy (2014-2017). Expert Rev Vaccines 2021; 20:73-81. [PMID: 33480821 DOI: 10.1080/14760584.2021.1874927] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/30/2023]
Abstract
OBJECTIVE The main objective of this study was to estimate the efficacy of influenza vaccination in reducing influenza-attributable hospitalization and emergency room (ER) admission for severe complications and influenza-attributable excess mortality in individuals ≥65 years of age. METHODS We analyzed the ≥65 years-old community (n = 952,822) afferent to the Brescia (Northern Italy) Health Protection Agency, considered an Italian population reference, to evaluate the efficacy of influenza vaccination (seasons 2014-17) in reducing deaths, ER-admissions, and hospitalizations for influenza-related complications in the elderly. RESULTS A protective effect of influenza vaccination emerged in reducing hospitalization and ER admission for diseases of the respiratory system and for death from all causes in people ≥65 years. The major effect of influenza vaccination was the reduction in risk of death from all causes, increasing with age and comorbidity. CONCLUSION Influenza vaccination has reduced the number of ER admissions and hospitalizations caused by influenza-related complications and has prevented death among high-risk groups in elderly ≥65 years, resulting in social and public health cost savings. Stronger or new vaccination strategies are needed to improve vaccination rates among the elderly.
Collapse
Affiliation(s)
- Giuseppe Marano
- Department of Clinical Sciences and Community Health, Laboratory of Medical Statistics, Biometry and Epidemiology "G.A. Maccacaro", University of Milan, Milan, Italy
| | - Patrizia Boracchi
- Department of Clinical Sciences and Community Health, Laboratory of Medical Statistics, Biometry and Epidemiology "G.A. Maccacaro", University of Milan, Milan, Italy
| | - Ester Luconi
- Health Management Department, Fondazione IRCCS Ca' Granda OMP, Milan, Italy
| | - Elena Pariani
- Department of Biomedical Sciences for Health, University of Milan, Milan, Italy
| | - Laura Pellegrinelli
- Department of Biomedical Sciences for Health, University of Milan, Milan, Italy
| | - Cristina Galli
- Department of Biomedical Sciences for Health, University of Milan, Milan, Italy
| | - Cecilia E Gandolfi
- Department of Biomedical Sciences for Health, University of Milan, Milan, Italy
| | - Michele Magoni
- Prevention Department, ATS Di Brescia (Brescia Health Protection Agency), Brescia, Italy
| | - Antonio Piro
- Prevention Department, ATS Di Brescia (Brescia Health Protection Agency), Brescia, Italy
| | - Carmelo Scarcella
- Prevention Department, ATS Di Brescia (Brescia Health Protection Agency), Brescia, Italy
| | - Silvana Castaldi
- Health Management Department, Fondazione IRCCS Ca' Granda OMP, Milan, Italy.,Department of Biomedical Sciences for Health, University of Milan, Milan, Italy
| | - Elia M Biganzoli
- Department of Clinical Sciences and Community Health, Laboratory of Medical Statistics, Biometry and Epidemiology "G.A. Maccacaro", University of Milan, Milan, Italy
| |
Collapse
|
15
|
Rose AMC, Kissling E, Gherasim A, Casado I, Bella A, Launay O, Lazăr M, Marbus S, Kuliese M, Syrjänen R, Machado A, Kurečić Filipović S, Larrauri A, Castilla J, Alfonsi V, Galtier F, Ivanciuc A, Meijer A, Mickiene A, Ikonen N, Gómez V, Lovrić Makarić Z, Moren A, Valenciano M. Vaccine effectiveness against influenza A(H3N2) and B among laboratory-confirmed, hospitalised older adults, Europe, 2017-18: A season of B lineage mismatched to the trivalent vaccine. Influenza Other Respir Viruses 2020; 14:302-310. [PMID: 32022450 PMCID: PMC7182608 DOI: 10.1111/irv.12714] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2019] [Revised: 12/09/2019] [Accepted: 12/15/2019] [Indexed: 01/22/2023] Open
Abstract
Background Influenza A(H3N2), A(H1N1)pdm09 and B viruses co‐circulated in Europe in 2017‐18, predominated by influenza B. WHO‐recommended, trivalent vaccine components were lineage‐mismatched for B. The I‐MOVE hospital network measured 2017‐18 seasonal influenza vaccine effectiveness (IVE) against influenza A(H3N2) and B among hospitalised patients (≥65 years) in Europe. Methods Following the same generic protocol for test‐negative design, hospital teams in nine countries swabbed patients ≥65 years with recent onset (≤7 days) severe acute respiratory infection (SARI), collecting information on demographics, vaccination status and underlying conditions. Cases were RT‐PCR positive for influenza A(H3N2) or B; controls: negative for any influenza. “Vaccinated” patients had SARI onset >14 days after vaccination. We measured pooled IVE against influenza, adjusted for study site, age, sex, onset date and chronic conditions. Results We included 3483 patients: 376 influenza A(H3N2) and 928 B cases, and 2028 controls. Most (>99%) vaccinated patients received the B lineage‐mismatched trivalent vaccine. IVE against influenza A(H3N2) was 24% (95% CI: 2 to 40); 35% (95% CI: 6 to 55) in 65‐ to 79‐year‐olds and 14% (95% CI: −22 to 39) in ≥80‐year‐olds. Against influenza B, IVE was 30% (95% CI: 16 to 41); 37% (95% CI: 19 to 51) in 65‐ to 79‐year‐olds and 19% (95% CI: −7 to 38) in ≥80‐year‐olds. Conclusions IVE against influenza B was similar to A(H3N2) in hospitalised older adults, despite trivalent vaccine and circulating B lineage mismatch, suggesting some cross‐protection. IVE was lower in those ≥80 than 65‐79 years. We reinforce the importance of influenza vaccination in older adults as, even with a poorly matched vaccine, it still protects one in three to four of this population from severe influenza.
Collapse
Affiliation(s)
| | | | - Alin Gherasim
- National Centre of Epidemiology, CIBERESP, Institute of Health Carlos III, Madrid, Spain
| | - Itziar Casado
- Navarra Public Health Institute, IdiSNA-CIBERESP, Pamplona, Spain
| | - Antonino Bella
- Department of Infectious Diseases, Istituto Superiore di Sanità, Rome, Italy
| | - Odile Launay
- Inserm, F-CRIN, Innovative clinical research network in vaccinology (I-REIVAC), Paris, France.,CIC Cochin Pasteur, université Paris Descartes, Sorbonne Paris Cité, hôpital Cochin, AP-HP, Paris, France
| | - Mihaela Lazăr
- National Military-Medical Institute for Research and Development, Bucharest, Romania
| | - Sierk Marbus
- National Institute for Public Health and the Environment, Bilthoven, The Netherlands
| | - Monika Kuliese
- Department of Infectious diseases, Lithuanian University of Health Sciences, Kaunas, Lithuania
| | - Ritva Syrjänen
- Finnish Institute for Health and Welfare, Tampere, Finland
| | - Ausenda Machado
- Instituto Nacional de Saúde Doutor Ricardo Jorge, Lisbon, Portugal
| | - Sanja Kurečić Filipović
- Division for epidemiology of communicable diseases, Croatian Institute of Public Health, Zagreb, Croatia
| | - Amparo Larrauri
- National Centre of Epidemiology, CIBERESP, Institute of Health Carlos III, Madrid, Spain
| | - Jesús Castilla
- Navarra Public Health Institute, IdiSNA-CIBERESP, Pamplona, Spain
| | - Valeria Alfonsi
- Department of Infectious Diseases, Istituto Superiore di Sanità, Rome, Italy
| | - Florence Galtier
- Inserm, F-CRIN, Innovative clinical research network in vaccinology (I-REIVAC), Paris, France.,CHU de Montpellier, Inserm CIC 1411, Hôpital Saint-Eloi, Montpellier, France
| | - Alina Ivanciuc
- National Military-Medical Institute for Research and Development, Bucharest, Romania
| | - Adam Meijer
- National Institute for Public Health and the Environment, Bilthoven, The Netherlands
| | - Aukse Mickiene
- Department of Infectious diseases, Lithuanian University of Health Sciences, Kaunas, Lithuania
| | - Niina Ikonen
- Finnish Institute for Health and Welfare, Helsinki, Finland
| | - Verónica Gómez
- Instituto Nacional de Saúde Doutor Ricardo Jorge, Lisbon, Portugal
| | - Zvjezdana Lovrić Makarić
- Division for epidemiology of communicable diseases, Croatian Institute of Public Health, Zagreb, Croatia
| | | | | | | |
Collapse
|