Evidence map›Paper›PMID 41185010›Full record

ArticleBMC medicine2025

Vaccine effectiveness against influenza A in older adults and the effect of chronic conditions: results from the I-MOVE and VEBIS multicentre European hospital case-control studies, 2015/16-2023/24.

Angela Mary Catherine Rose, Nathalie Nicolay, Clara Mazagatos, Iván Martínez-Baz, Odile Launay, Laurane De Mot, Antonino Bella, Mihaela Lazar, Ausenda Machado, Monika Kuliešė and 33 more

Abstract readMulticenter Study
In one paragraph

Article in BMC medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

43 authors.

Angela Mary Catherine Rose, Epiconcept, Paris, France. a.rose@epiconcept.fr.
Nathalie NicolayEuropean Centre for Disease Prevention and Control, Stockholm, Sweden.
Clara MazagatosNational Centre of Epidemiology, CIBERESP, Institute of Health Carlos III, Madrid, Spain.
Iván Martínez-BazInstituto de Salud Pública de Navarra- IdiSNA - CIBERESP, Pamplona, Spain.
Odile LaunayINSERM CIC 1417, F-CRIN, I-REIVAC Network, Assistance Publique-Hôpitaux de Paris, Hôpital Cochin, Paris, France.
Laurane De Mot, Sciensano, Brussels, Belgium.
Antonino BellaDepartment of Infectious Diseases, Istituto Superiore di Sanità, Rome, Italy.
Mihaela Lazar"Cantacuzino" National Medical-Military Institute for Research and Development, Bucharest, Romania.
Ausenda MachadoEpidemiology Department, National Health Institute Doutor Ricardo Jorge, Lisbon, Portugal.
Monika KuliešėDepartment of Infectious Diseases, Lithuanian University of Health Sciences, Kaunas, Lithuania.
Stephen AbelaInfectious Disease Prevention and Control Unit (IDCU), Health Promotion and Disease Prevention, Msida, Malta.
Vesna Višekruna VučinaCroatian Institute of Public Health, Zagreb, Croatia.
Rianne van Gageldonk-LafeberCentre for Infectious Disease Control, National Institute for Public Health and the Environment, Bilthoven, the Netherlands.
Silvia BinoInstitute of Public Health, Tirana, Albania.
Ralf DürrwaldNational Reference Centre for Influenza, Robert Koch Institute, Berlin, Germany.
Iwona Paradowska-StankiewiczNational Institute of Public Health, NIH-National Research Institute, Warsaw, Poland.
Judit Krisztina HorváthNational Laboratory for Health Security, Epidemiology and Surveillance Centre, Semmelweis University, Budapest, Hungary.
Róisín DuffyHealth Service Executive-Health Protection Surveillance Centre (HPSC), Dublin, Ireland.
Petr HusaUniversity Hospital Brno and Masaryk University, Brno, Czechia.
Jim McMenaminPublic Health Scotland, Glasgow, Scotland.
Francisco PozoNational Centre of Microbiology, CIBERESP, Institute of Health Carlos III, Madrid, Spain.
Jennifer Howard, Epiconcept, Paris, France.
Miriam Latorre-MillánResearch Group on Difficult to Diagnose and Treat Infections, IIS Aragón, Miguel Servet University Hospital, Saragossa, Spain.
Jesús CastillaInstituto de Salud Pública de Navarra- IdiSNA - CIBERESP, Pamplona, Spain.
Liem Binh Luong NguyenINSERM CIC 1417, F-CRIN, I-REIVAC Network, Assistance Publique-Hôpitaux de Paris, Hôpital Cochin, Paris, France.
Nicolas DaubyDepartment of Infectious Diseases, Université Libre de Bruxelles (ULB), CHU Saint-Pierre, Brussels, Belgium.
Flavia RiccardoDepartment of Infectious Diseases, Istituto Superiore di Sanità, Rome, Italy.
Alina Ivanciuc"Cantacuzino" National Medical-Military Institute for Research and Development, Bucharest, Romania.
Verónica GomezEpidemiology Department, National Health Institute Doutor Ricardo Jorge, Lisbon, Portugal.
Ligita JančorienėClinic of Infectious Diseases and Dermatovenerology, Institute of Clinical Medicine, Faculty of Medicine, Vilnius University, Vilnius, Lithuania.
Gerd XuerebInfectious Disease Prevention and Control Unit (IDCU), Health Promotion and Disease Prevention, Msida, Malta.
Goranka PetrovićCroatian Institute of Public Health, Zagreb, Croatia.
Sierk MarbusCentre for Infectious Disease Control, National Institute for Public Health and the Environment, Bilthoven, the Netherlands.
Adela VasiliInstitute of Public Health, Tirana, Albania.
Kristin TolksdorfDepartment for Infectious Disease Epidemiology, Robert Koch Institute, Berlin, Germany.
Joanna BoguszNational Institute of Public Health, NIH-National Research Institute, Warsaw, Poland.
Beatrix OrosziNational Laboratory for Health Security, Epidemiology and Surveillance Centre, Semmelweis University, Budapest, Hungary.
Lisa DomeganHealth Service Executive-Health Protection Surveillance Centre (HPSC), Dublin, Ireland.
Lenka SoučkováUniversity Hospital Brno and Masaryk University, Brno, Czechia.
Kimberley MarshPublic Health Scotland, Glasgow, Scotland.
Sabrina BacciEuropean Centre for Disease Prevention and Control, Stockholm, Sweden.
Esther Kissling, Epiconcept, Paris, France.
I-MOVE & VEBIS Hospital Network teams

Funding

European Centre for Disease Prevention and Control Framework Contract ECDC/2021/016European Commission Horizon 2020 634446Lietuvos Mokslo Taryba SEN-03/2015
6 · The paper itself

Abstract

backgroundThe Influenza - Monitoring Vaccine Effectiveness in Europe (I-MOVE/I-MOVE+) and Vaccine Effectiveness, Burden and Impact Studies (VEBIS) hospital networks have conducted seasonal multicentre, test-negative, case-control studies in Europe to measure influenza vaccine effectiveness (IVE) since 2015/16. We measured the effect of chronic conditions on VE of influenza A subtypes among older adults (≥ 65 years) using pooled-season data (2015/16-2023/24).

methodsHospital teams swabbed patients with severe acute respiratory infection (SARI) within 7 days of symptom onset. Cases were RT-PCR positive for influenza A(H1N1)pdm09 or A(H3N2); controls negative for any influenza virus. We calculated overall pooled-season IVE against influenza A(H1N1)pdm09 and A(H3N2), adjusted for study site, sex, age and onset date; and stratified by number of and by each chronic condition (diabetes, heart disease, lung disease/asthma, immunosuppression, kidney disease, liver disease, cancer, obesity). We investigated interaction between vaccination and each condition.

resultsWe included 1805 A(H1N1)pdm09 cases with 16,329 controls; 2590 A(H3N2) cases with 14,920 controls, from 13 study sites (12 countries). Over all seasons, 63-67% cases and 70% controls had ≥ 2 chronic conditions. Against A(H1N1)pdm09, pooled-season IVE was 37% (95%CI: 29-44) overall; 49% (95%CI: 9-72), 30% (95%CI: 12-44) and 38% (95%CI: 29-46) in those with 0, 1, ≥ 2 chronic conditions. Most IVE point estimates were 34-45%, apart from immunosuppression (-7%), kidney disease (17%) and liver disease (54%), but 95% CIs overlapped. Significant interaction was observed for kidney disease (p = 0.02) and immunosuppression (p = 0.01). Against A(H3N2), pooled-season IVE was 17% (95%CI: 8-25) overall; 15% (95%CI: -26-42), 11% (95%CI: -8-27) and 18% (95%CI: 7-28) in those with 0, 1, ≥ 2 chronic conditions. Here, IVE point estimates ranged 13-25%, apart from immunosuppression (5%), kidney disease (6%) and liver disease (31%), although 95% CIs overlapped. There were no significant interactions.

conclusionsPooled-season results suggest low-moderate VE against influenza A subtypes among older SARI patients; higher against A(H1N1)pdm09 than A(H3N2), with little evidence of chronic condition modifying effect, apart from kidney disease and immunosuppression. We stress the importance of developing improved influenza vaccines for specific populations, and encourage further research into the effect of chronic conditions on IVE in older adults.

Indexed as

Influenza A Virus, H1N1 SubtypeInfluenza, HumanInfluenza VaccinesVaccine EfficacyAgedAged, 80 and overCase-Control StudiesChronic DiseaseEuropeFemaleHumansInfluenza A Virus, H3N2 SubtypeMaleInfluenza VaccinesChronic conditionsEuropeHospitalInfluenzaVaccine effectiveness

Identifiers

PMID41185010
PMCPMC12581461

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.