Evidence map›Paper›PMID 39257959›Full record

ArticleEClinicalMedicine2024

An evaluation of 2015-2019 United States respiratory syncytial virus hospitalizations as a framework to develop potential strategies for the preventiosn of the hospital burden among infants.

Robert J Suss, Eric A F Simões

Abstract read
In one paragraph

Article in EClinicalMedicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

What it found

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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

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

2 authors.

Robert J SussDepartment of Paediatric Infectious Diseases, University of Colorado School of Medicine and Children's Hospital Colorado Aurora, CO, USA.
Eric A F SimõesDepartment of Paediatric Infectious Diseases, University of Colorado School of Medicine and Children's Hospital Colorado Aurora, CO, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: New options for RSV prevention are available for the 2023/2024 RSV season, nirsevimab, a monocolonal antibody, and RSVpreF maternal vaccine, that target infants entering their first RSV season. Countries vary in implementation of one or both strategies to reduce the RSV burden among infants. Methods: This study utilized retrospective cohort data from 47 children's hospitals in the United States Pediatric Health Information Systems (PHIS) database between 2015 and 2019. Patients hospitalized with RSV or bronchiolitis aged 0-15 months were included based on birth timing relative to the RSV season. Annualized hospitalization rates per 100,000 were calculated from extrapolated population estimates. Recommended prevention strategies were applied to age cohorts to compare protection afforded by nirsevimab and maternal immunization strategies. Findings: 72,209 RSV hospitalizations were included in the study. Compared to those born nine months prior to the season (n = 2116; 375/100,000 per year), those born at the start of the season were 9.44 (9.02-9.89) times as likely to be hospitalized for RSV (n = 19,979; 3542/100,000 per year). Both strategies would prevent most of these hospitalizations. Maternal immunization would not prevent hospitalizations of infants aged two or 3 months at season start, who were respectively 2.95 (2.80-3.10) and 2.22 (2.11-2.34) times as likely to be hospitalized. Proportionally more preterm infants were hospitalized in their second RSV season, resulting in less protection (up to 40% to >80% unprotected). Interpretation: These findings suggest without a more narrowly targeted strategy, current nirsevimab recommendations may not be as cost efficient for infants born further outside of the RSV season, and those born later in the season who are more likely to be hospitalized in subsequent seasons. Conversely, it may be more beneficial to begin maternal immunization further in advance of the season. Immunization strategies should be based on the RSV seasons within specific regions. Funding: None.

Indexed as

Acute lower respiratory infection (ALRI)ProphylaxisPublic healthRSV

Identifiers

PMID39257959
PMCPMC11385787

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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.