Evidence map›Paper›PMID 42493684›Full record

ArticlePediatrics international : official journal of the Japan Pediatric Society

Changes in Characteristics of Severe Respiratory Syncytial Virus Infections Before and After the COVID-19 Pandemic.

Kaori Fujimoto, Koji Kanno, Tomoya Hanada, Chisato Miyakoshi, Yusuke Ito, Hiroaki Urata, Masashi Kasai

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Article in Pediatrics international : official journal of the Japan Pediatric Society. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Kaori FujimotoDepartment of Pediatric Emergency and Critical Care Medicine, Hyogo Prefectural Amagasaki General Medical Center, Hyogo, Japan.ORCID https://orcid.org/0009-0004-7404-2139
Koji KannoDepartment of Pediatric Emergency and Critical Care Medicine, Hyogo Prefectural Amagasaki General Medical Center, Hyogo, Japan.ORCID https://orcid.org/0000-0002-9921-6842
Tomoya HanadaDepartment of Pediatric Emergency and Critical Care Medicine, Hyogo Prefectural Amagasaki General Medical Center, Hyogo, Japan.
Chisato MiyakoshiDepartment of Research Support, Center for Clinical Research and Innovation, Kobe City Medical Center General Hospital, Hyogo, Japan.
Yusuke ItoDepartment of Pediatric Emergency and Critical Care Medicine, Hyogo Prefectural Amagasaki General Medical Center, Hyogo, Japan.
Hiroaki UrataDepartment of Pediatric Critical Care Medicine, Hyogo Prefectural Kobe Children's Hospital, Hyogo, Japan.
Masashi KasaiDepartment of Pediatrics Infectious Disease, Hyogo Prefectural Kobe Children's Hospital, Hyogo, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSince the onset of the coronavirus disease (COVID-19) pandemic, changes in the severity of respiratory syncytial virus (RSV) infection have been reported in Japan. However, few studies have compared the severity of RSV infection before and after the COVID-19 pandemic. This study aimed to compare the severity of RSV infection before and after the COVID-19 pandemic in two pediatric hospitals in Hanshin in Hyogo Prefecture, Japan.

methodsThis retrospective study included patients aged ≤ 15 years hospitalized with RSV infection in Hyogo Prefectural Amagasaki General Medical Center and Hyogo Prefectural Kobe Children's Hospital between January 1, 2019, and July 31, 2023. Patient characteristics during the pre-pandemic (January to December 2019), pandemic (January 2020 to December 2022), and post-pandemic (January to July 2023) periods were compared.

resultsThe pediatric intensive care unit (PICU) admission rate was significantly higher during the post-pandemic period (26.1%) than during the pre-pandemic period (13.6%) (p < 0.001). The proportion of patients who received any form of respiratory support (tracheal intubation, noninvasive positive-pressure ventilation, or high-flow nasal cannula) was significantly higher during the post-pandemic period (26.9%) than during the pre-pandemic period (16.1%) (unadjusted odds ratio: 1.92, 95% confidence interval: 1.23-3.04; p = 0.005).

conclusionsIn children hospitalized with RSV infection, the PICU admission rate and respiratory support requirements were significantly higher during the post-pandemic period than during the pre-pandemic and pandemic periods. Ongoing monitoring of clinical severity is needed to ensure effective prevention of RSV infection and optimal medical resource allocation.

Indexed as

COVID-19Respiratory Syncytial Virus InfectionsAdolescentChildChild, PreschoolFemaleHospitalizationHumansInfantIntensive Care Units, PediatricJapanMalePandemicsRetrospective StudiesSeverity of Illness IndexCOVID‐19 pandemicHyogo prefecturePediatric intensive care unitrespiratory supportrespiratory syncytial virus infection

Identifiers

PMID42493684
PMCPMC13396199

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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.