Estimation of respiratory syncytial virus-associated hospital admissions in five European countries using attribution analysis

PROMISE Investigators, 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

Research output: Contribution to journalArticlepeer-review

Abstract

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.
Original languageEnglish
Article number101227
Number of pages30
JournalLancet
Volume51
Early online date5 Feb 2025
DOIs
Publication statusPublished - 1 Apr 2025

Keywords / Materials (for Non-textual outputs)

  • RSV
  • Respiratory tract infection
  • Hospital admissions
  • National register-based study
  • Time series analysis
  • Burden of disease

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