Estimation of respiratory syncytial virus-associated hospital admissions in five European countries: a modelling studyResearch in context
Summary: Background: Respiratory syncytial virus (RSV) can cause severe disease, notably among infants, older adults, and individuals with comorbidities. Non-systematic testing and differences in coding practices affect direct measures of the hospital disease burden. We aim to tackle this issue and...
Saved in:
| Main Authors: | , , , , , , , , , , , , , , , , , , , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-04-01
|
| Series: | The Lancet Regional Health. Europe |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2666776225000195 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1825206861270351872 |
|---|---|
| author | Caroline Klint Johannesen David Gideonse Richard Osei-Yeboah Toni Lehtonen Ombeline Jollivet Rachel A. Cohen Arantxa Urchueguía-Fornes María Herrero-Silvestre Mónica López-Lacort Rolf Kramer Thea K. Fischer Terho Heikkinen Harish Nair Harry Campbell Michiel van Boven Harish Nair Hanna Nohynek Anne Teirlinck Louis Bont Peter Openshaw Andrew Pollard Veena Kumar Elizabeth Begier Jim Janimak Jenny Hendrix Rolf Kramer Alejandro Orrico Sánchez Eva Molero |
| author_facet | Caroline Klint Johannesen David Gideonse Richard Osei-Yeboah Toni Lehtonen Ombeline Jollivet Rachel A. Cohen Arantxa Urchueguía-Fornes María Herrero-Silvestre Mónica López-Lacort Rolf Kramer Thea K. Fischer Terho Heikkinen Harish Nair Harry Campbell Michiel van Boven Harish Nair Hanna Nohynek Anne Teirlinck Louis Bont Peter Openshaw Andrew Pollard Veena Kumar Elizabeth Begier Jim Janimak Jenny Hendrix Rolf Kramer Alejandro Orrico Sánchez Eva Molero |
| author_sort | Caroline Klint Johannesen |
| collection | DOAJ |
| description | Summary: Background: Respiratory syncytial virus (RSV) can cause severe disease, notably among infants, older adults, and individuals with comorbidities. Non-systematic testing and differences in coding practices affect direct measures of the hospital disease burden. We aim to tackle this issue and estimate RSV-associated respiratory hospital admissions through time series modelling of hospital admissions. Methods: The number of RSV hospital admissions in Denmark, England, Finland, the Netherlands, and Spain were estimated with attribution analyses, using age-specific respiratory tract infection (RTI) admissions combined with virological data, both from routinely collected healthcare data. Analyses covered the years 2016–2023. Findings: The attributed incidence of RSV per 100,000 children 0–2 months ranged from 1715 in Denmark to 3842 in England. In older adults, substantial differences in the incidence of ICD-10 coded RSV hospitalisations were found, while the attributed RSV incidence was more comparable, ranging from approximately 100 per 100,000 in adults 65–74 years to 200 per 100,000 persons 75–84 years and 500 per 100,000 persons 85 years and older. Interpretation: RSV-attributed time series exhibit a high degree of synchronicity between participating countries, suggesting that this method for attribution addresses the known issues with underdiagnosis and misclassification. In the older age groups, a substantial proportion of RTI hospitalisations is attributed to RSV, underscoring the relevance of RSV as a cause of severe respiratory infections. Funding: This project has received funding from the Innovative Medicines Initiative 2 Joint Undertaking under grant agreement 101034339. This Joint Undertaking receives support from the European Union’s Horizon 2020 research and innovation programme and EFPIA. |
| format | Article |
| id | doaj-art-3e59a2f5a9504d2da3fe245b4c281b08 |
| institution | Kabale University |
| issn | 2666-7762 |
| language | English |
| publishDate | 2025-04-01 |
| publisher | Elsevier |
| record_format | Article |
| series | The Lancet Regional Health. Europe |
| spelling | doaj-art-3e59a2f5a9504d2da3fe245b4c281b082025-02-07T04:48:25ZengElsevierThe Lancet Regional Health. Europe2666-77622025-04-0151101227Estimation of respiratory syncytial virus-associated hospital admissions in five European countries: a modelling studyResearch in contextCaroline Klint Johannesen0David Gideonse1Richard Osei-Yeboah2Toni Lehtonen3Ombeline Jollivet4Rachel A. Cohen5Arantxa Urchueguía-Fornes6María Herrero-Silvestre7Mónica López-Lacort8Rolf Kramer9Thea K. Fischer10Terho Heikkinen11Harish Nair12Harry Campbell13Michiel van Boven14Harish NairHanna NohynekAnne TeirlinckLouis BontPeter OpenshawAndrew PollardVeena KumarElizabeth BegierJim JanimakJenny HendrixRolf KramerAlejandro Orrico SánchezEva MoleroDepartment of Virus and Microbiological Special Diagnostics, Statens Serum Institut, Copenhagen, Denmark; Department of Clinical Research, North Zealand University Hospital, Capital Region, Denmark; Corresponding author. Department of Virus and Microbiological Special Diagnostics, Statens Serum Institut, Copenhagen, Denmark.Centre for Infectious Disease Control, National Institute for Public Health and the Environment, the NetherlandsCentre for Global Health, Usher Institute, The University of Edinburgh, Edinburgh, United KingdomDepartment of Health Security, Finnish Institute for Health and Welfare, Helsinki, FinlandSanofi, Lyon, FranceGSK, Rockville, MD, United StatesVaccine Research Department, Foundation for the Promotion of Health and Biomedical Research in the Valencian Region (FISABIO), Valencia, Spain; CIBER de Epidemiología y Salud Pública, Instituto de Salud Carlos III, SpainVaccine Research Department, Foundation for the Promotion of Health and Biomedical Research in the Valencian Region (FISABIO), Valencia, SpainVaccine Research Department, Foundation for the Promotion of Health and Biomedical Research in the Valencian Region (FISABIO), Valencia, Spain; CIBER de Epidemiología y Salud Pública, Instituto de Salud Carlos III, SpainSanofi, Lyon, FranceDepartment of Virus and Microbiological Special Diagnostics, Statens Serum Institut, Copenhagen, Denmark; Department of Clinical Research, North Zealand University Hospital, Capital Region, Denmark; Department of Public Health, University of Copenhagen, DenmarkDepartment of Pediatrics, University of Turku and Turku University Hospital, Turku, FinlandCentre for Global Health, Usher Institute, The University of Edinburgh, Edinburgh, United KingdomCentre for Global Health, Usher Institute, The University of Edinburgh, Edinburgh, United KingdomCentre for Infectious Disease Control, National Institute for Public Health and the Environment, the Netherlands; Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands; Corresponding author. Centre for Infectious Disease Control, National Institute for Public Health and the Environment, the Netherlands.Summary: Background: Respiratory syncytial virus (RSV) can cause severe disease, notably among infants, older adults, and individuals with comorbidities. Non-systematic testing and differences in coding practices affect direct measures of the hospital disease burden. We aim to tackle this issue and estimate RSV-associated respiratory hospital admissions through time series modelling of hospital admissions. Methods: The number of RSV hospital admissions in Denmark, England, Finland, the Netherlands, and Spain were estimated with attribution analyses, using age-specific respiratory tract infection (RTI) admissions combined with virological data, both from routinely collected healthcare data. Analyses covered the years 2016–2023. Findings: The attributed incidence of RSV per 100,000 children 0–2 months ranged from 1715 in Denmark to 3842 in England. In older adults, substantial differences in the incidence of ICD-10 coded RSV hospitalisations were found, while the attributed RSV incidence was more comparable, ranging from approximately 100 per 100,000 in adults 65–74 years to 200 per 100,000 persons 75–84 years and 500 per 100,000 persons 85 years and older. Interpretation: RSV-attributed time series exhibit a high degree of synchronicity between participating countries, suggesting that this method for attribution addresses the known issues with underdiagnosis and misclassification. In the older age groups, a substantial proportion of RTI hospitalisations is attributed to RSV, underscoring the relevance of RSV as a cause of severe respiratory infections. Funding: This project has received funding from the Innovative Medicines Initiative 2 Joint Undertaking under grant agreement 101034339. This Joint Undertaking receives support from the European Union’s Horizon 2020 research and innovation programme and EFPIA.http://www.sciencedirect.com/science/article/pii/S2666776225000195RSVRespiratory tract infectionHospital admissionsNational register-based studyTime series analysisBurden of disease |
| spellingShingle | Caroline Klint Johannesen David Gideonse Richard Osei-Yeboah Toni Lehtonen Ombeline Jollivet Rachel A. Cohen Arantxa Urchueguía-Fornes María Herrero-Silvestre Mónica López-Lacort Rolf Kramer Thea K. Fischer Terho Heikkinen Harish Nair Harry Campbell Michiel van Boven Harish Nair Hanna Nohynek Anne Teirlinck Louis Bont Peter Openshaw Andrew Pollard Veena Kumar Elizabeth Begier Jim Janimak Jenny Hendrix Rolf Kramer Alejandro Orrico Sánchez Eva Molero Estimation of respiratory syncytial virus-associated hospital admissions in five European countries: a modelling studyResearch in context The Lancet Regional Health. Europe RSV Respiratory tract infection Hospital admissions National register-based study Time series analysis Burden of disease |
| title | Estimation of respiratory syncytial virus-associated hospital admissions in five European countries: a modelling studyResearch in context |
| title_full | Estimation of respiratory syncytial virus-associated hospital admissions in five European countries: a modelling studyResearch in context |
| title_fullStr | Estimation of respiratory syncytial virus-associated hospital admissions in five European countries: a modelling studyResearch in context |
| title_full_unstemmed | Estimation of respiratory syncytial virus-associated hospital admissions in five European countries: a modelling studyResearch in context |
| title_short | Estimation of respiratory syncytial virus-associated hospital admissions in five European countries: a modelling studyResearch in context |
| title_sort | estimation of respiratory syncytial virus associated hospital admissions in five european countries a modelling studyresearch in context |
| topic | RSV Respiratory tract infection Hospital admissions National register-based study Time series analysis Burden of disease |
| url | http://www.sciencedirect.com/science/article/pii/S2666776225000195 |
| work_keys_str_mv | AT carolineklintjohannesen estimationofrespiratorysyncytialvirusassociatedhospitaladmissionsinfiveeuropeancountriesamodellingstudyresearchincontext AT davidgideonse estimationofrespiratorysyncytialvirusassociatedhospitaladmissionsinfiveeuropeancountriesamodellingstudyresearchincontext AT richardoseiyeboah estimationofrespiratorysyncytialvirusassociatedhospitaladmissionsinfiveeuropeancountriesamodellingstudyresearchincontext AT tonilehtonen estimationofrespiratorysyncytialvirusassociatedhospitaladmissionsinfiveeuropeancountriesamodellingstudyresearchincontext AT ombelinejollivet estimationofrespiratorysyncytialvirusassociatedhospitaladmissionsinfiveeuropeancountriesamodellingstudyresearchincontext AT rachelacohen estimationofrespiratorysyncytialvirusassociatedhospitaladmissionsinfiveeuropeancountriesamodellingstudyresearchincontext AT arantxaurchueguiafornes estimationofrespiratorysyncytialvirusassociatedhospitaladmissionsinfiveeuropeancountriesamodellingstudyresearchincontext AT mariaherrerosilvestre estimationofrespiratorysyncytialvirusassociatedhospitaladmissionsinfiveeuropeancountriesamodellingstudyresearchincontext AT monicalopezlacort estimationofrespiratorysyncytialvirusassociatedhospitaladmissionsinfiveeuropeancountriesamodellingstudyresearchincontext AT rolfkramer estimationofrespiratorysyncytialvirusassociatedhospitaladmissionsinfiveeuropeancountriesamodellingstudyresearchincontext AT theakfischer estimationofrespiratorysyncytialvirusassociatedhospitaladmissionsinfiveeuropeancountriesamodellingstudyresearchincontext AT terhoheikkinen estimationofrespiratorysyncytialvirusassociatedhospitaladmissionsinfiveeuropeancountriesamodellingstudyresearchincontext AT harishnair estimationofrespiratorysyncytialvirusassociatedhospitaladmissionsinfiveeuropeancountriesamodellingstudyresearchincontext AT harrycampbell estimationofrespiratorysyncytialvirusassociatedhospitaladmissionsinfiveeuropeancountriesamodellingstudyresearchincontext AT michielvanboven estimationofrespiratorysyncytialvirusassociatedhospitaladmissionsinfiveeuropeancountriesamodellingstudyresearchincontext AT harishnair estimationofrespiratorysyncytialvirusassociatedhospitaladmissionsinfiveeuropeancountriesamodellingstudyresearchincontext AT hannanohynek estimationofrespiratorysyncytialvirusassociatedhospitaladmissionsinfiveeuropeancountriesamodellingstudyresearchincontext AT anneteirlinck estimationofrespiratorysyncytialvirusassociatedhospitaladmissionsinfiveeuropeancountriesamodellingstudyresearchincontext AT louisbont estimationofrespiratorysyncytialvirusassociatedhospitaladmissionsinfiveeuropeancountriesamodellingstudyresearchincontext AT peteropenshaw estimationofrespiratorysyncytialvirusassociatedhospitaladmissionsinfiveeuropeancountriesamodellingstudyresearchincontext AT andrewpollard estimationofrespiratorysyncytialvirusassociatedhospitaladmissionsinfiveeuropeancountriesamodellingstudyresearchincontext AT veenakumar estimationofrespiratorysyncytialvirusassociatedhospitaladmissionsinfiveeuropeancountriesamodellingstudyresearchincontext AT elizabethbegier estimationofrespiratorysyncytialvirusassociatedhospitaladmissionsinfiveeuropeancountriesamodellingstudyresearchincontext AT jimjanimak estimationofrespiratorysyncytialvirusassociatedhospitaladmissionsinfiveeuropeancountriesamodellingstudyresearchincontext AT jennyhendrix estimationofrespiratorysyncytialvirusassociatedhospitaladmissionsinfiveeuropeancountriesamodellingstudyresearchincontext AT rolfkramer estimationofrespiratorysyncytialvirusassociatedhospitaladmissionsinfiveeuropeancountriesamodellingstudyresearchincontext AT alejandroorricosanchez estimationofrespiratorysyncytialvirusassociatedhospitaladmissionsinfiveeuropeancountriesamodellingstudyresearchincontext AT evamolero estimationofrespiratorysyncytialvirusassociatedhospitaladmissionsinfiveeuropeancountriesamodellingstudyresearchincontext |