Understanding the age spectrum of respiratory syncytial virus associated hospitalisation and mortality burden based on statistical modelling methods a systematic analysis: a systematic analysis

Bingbing Cong, Izzie Dighero, Tiantian Zhang, Harish Nair, You Li*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

Background: Statistical modelling studies based on excess morbidity and mortality are important for understanding RSV disease burden for age groups that are less frequently tested for RSV. We aimed to understand the full age spectrum of RSV morbidity and mortality burden based on statistical modelling studies, as well as the value of modelling studies in RSV disease burden estimation.
Methods: The databases Medline, Embase and Global Health were searched to identify studies published between January 1, 1995 and December 31, 2021 reporting RSV-associated excess hospitalisation or mortality rates of any case definitions using a modelling approach. All reported rates were summarised using median, IQR (Interquartile range) and range by age group, outcome, and country income group; where applicable, a random-effects meta-analysis was conducted to combine the reported rates. We further estimated the proportion of RSV hospitalisations that could be captured in clinical databases.
Results: A total of 32 studies were included, with 26 studies from high-income countries. RSV-associated hospitalisation and mortality rates both showed a U-shape age pattern. Lowest and highest RSV acute respiratory infection (ARI) hospitalisation rates were found in 5–17 years (median: 1.6/100,000 population, IQR: 1.3-18.5) and Conclusions: Our study provides insights into the age spectrum of RSV hospitalisation and mortality. RSV disease burden using laboratory records alone could be substantially severely underreported for age groups ≥5 years. Our findings confirm infants and older adults should be prioritised for RSV immunisation programmes.
Trial Registration: PROSPERO CRD42020173430
Original languageEnglish
Article number224
Number of pages13
JournalBMC Medicine
Volume21
DOIs
Publication statusPublished - 26 Jun 2023

Keywords / Materials (for Non-textual outputs)

  • Respiratory syncytial virus
  • model; hospitalisation
  • mortality
  • burden of disease
  • systematic reviews

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