Evidence map›Paper›PMID 40367201›Full record

ArticlePloS one2025

The differential burden of acute rhinovirus infections in children with underlying conditions.

María Isabel Sánchez Códez, Isabel Benavente Fernández, Katherine Moyer, Amy L Leber, Octavio Ramilo, Asuncion Mejias

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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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

2 citing papers in PubMed.

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4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

María Isabel Sánchez CódezDivision of Pediatric Infectious Diseases, Puerta del Mar, Cadiz, Spain.
Isabel Benavente FernándezDepartment of Paediatrics, Puerta del Mar University Hospital, Cadiz, Spain.
Katherine MoyerDivision of Pediatric Infectious Diseases, Inova Children's Hospital, Falls Church, Virginia, United States of America.
Amy L LeberDepartment of Laboratory Medicine, Nationwide Children's Hospital, Columbus, Ohio, United States of America.
Octavio RamiloDepartment of Infectious Diseases, St Jude Children's Research Hospital, Memphis, Tennessee, United States of America.
Asuncion MejiasDepartment of Infectious Diseases, St Jude Children's Research Hospital, Memphis, Tennessee, United States of America.ORCID 0000-0002-5983-8006

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionRhinoviruses (RVs) are a well-known trigger of wheezing episodes in children with asthma. Their role in other pediatric chronic medical conditions is not fully known.

methodsPatients ≤21 years hospitalized or evaluated as outpatients with symptomatic RV infection were identified from 2011-2013. Patients were categorized based on the type of underlying disease and differences in clinical parameters, RV loads (CT values), viral, bacterial and fungal co-infections and clinical outcomes were compared between groups. Multivariable analyses were performed to identify the comorbidities associated with oxygen requirement, PICU admission, and prolonged hospitalization.

resultsOf 1,899 children identified, 77.7% (n = 1477) had an underlying comorbidity including asthma/atopy (36.8%), prematurity (7.7%), chronic respiratory diseases (6.4%), congenital heart disease (CHD, 3.2%), immunocompromised hosts (ICH; 1.4%) and others (22.2%). Prevalence of comorbidities increased with age (70%, infants vs 84%-87%, children >1 year; p < 0.0001). Median RV loads were intermediate-high (24-26 CT values), irrespective of the underlying disease. RV/viral co-detections were identified in 11% of ICH vs 20%- 30% in all other children whereas bacterial co-infections were identified in 2.9% of children. Multivariable models identified asthma/atopy, prematurity, CHD and bacterial co-infections consistently associated with all three clinical outcomes (p < 0.0001). Older age and higher RV loads were also associated with increased odds of PICU admission.

conclusionsThe prevalence of comorbidities was high in children with RV infections. Of those, asthma/atopy, prematurity and CHD were consistently associated with severe disease. Higher RV loads and bacterial co-infections, although infrequent, were also associated with worse clinical outcomes, suggesting the importance of defining clinical phenotypes for future targeted interventions.

Indexed as

Picornaviridae InfectionsRhinovirusAcute DiseaseAdolescentAsthmaChildChild, PreschoolCoinfectionComorbidityFemaleHospitalizationHumansInfantInfant, NewbornMalePrevalence

Identifiers

PMID40367201
PMCPMC12077780

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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.