Respiratory virus behavior: Results of laboratory-based epidemiological surveillance.


Journal

PloS one
ISSN: 1932-6203
Titre abrégé: PLoS One
Pays: United States
ID NLM: 101285081

Informations de publication

Date de publication:
2024
Historique:
received: 12 01 2024
accepted: 02 07 2024
medline: 4 10 2024
pubmed: 4 10 2024
entrez: 3 10 2024
Statut: epublish

Résumé

Respiratory viruses have clinical and epidemiological importance. With the COVID-19 pandemic, interest has focused on SARS-CoV-2, but as a result, the number of samples available for the differential diagnosis of other respiratory viruses has increased. Cross-sectional study. To describe the epidemiological behavior of respiratory viruses based on a laboratory-based epidemiological surveillance system using data from 2017 to 2023. Univariate, bivariate and multivariate analyses of data from a laboratory database of respiratory viruses detected by multiplex RT‒qPCR were performed. A total of 4,632 samples with positive results for at least 1 respiratory virus, not including influenza or SARS-CoV-2, were analyzed. The most common virus detected was respiratory syncytial virus in 1,467 (26.3%) samples, followed by rhinovirus in 1,384 (24.8%) samples. Most of the samples were from children under 5 years of age. The age-adjusted odds ratio (OR) of death for patients infected with parainfluenza virus 4 was 4.1 (95% confidence interval [95% CI] 2.0-8.2). Respiratory syncytial virus and rhinovirus had the highest frequency and proportion of coinfections, whereas parainfluenza virus 4 was associated with an increased risk of death.

Sections du résumé

BACKGROUND BACKGROUND
Respiratory viruses have clinical and epidemiological importance. With the COVID-19 pandemic, interest has focused on SARS-CoV-2, but as a result, the number of samples available for the differential diagnosis of other respiratory viruses has increased.
STUDY DESIGN METHODS
Cross-sectional study.
OBJECTIVE OBJECTIVE
To describe the epidemiological behavior of respiratory viruses based on a laboratory-based epidemiological surveillance system using data from 2017 to 2023.
METHODS METHODS
Univariate, bivariate and multivariate analyses of data from a laboratory database of respiratory viruses detected by multiplex RT‒qPCR were performed.
RESULTS RESULTS
A total of 4,632 samples with positive results for at least 1 respiratory virus, not including influenza or SARS-CoV-2, were analyzed. The most common virus detected was respiratory syncytial virus in 1,467 (26.3%) samples, followed by rhinovirus in 1,384 (24.8%) samples. Most of the samples were from children under 5 years of age. The age-adjusted odds ratio (OR) of death for patients infected with parainfluenza virus 4 was 4.1 (95% confidence interval [95% CI] 2.0-8.2).
CONCLUSION CONCLUSIONS
Respiratory syncytial virus and rhinovirus had the highest frequency and proportion of coinfections, whereas parainfluenza virus 4 was associated with an increased risk of death.

Identifiants

pubmed: 39361667
doi: 10.1371/journal.pone.0307322
pii: PONE-D-23-43288
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e0307322

Informations de copyright

Copyright: © 2024 Hernández Bautista et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Déclaration de conflit d'intérêts

The authors have declared that no competing interests exist.

Auteurs

Porfirio Felipe Hernández Bautista (PF)

Instituto Mexicano del Seguro Social, Coordinación de Calidad de Insumos y Laboratorios Especializados, México, México.

David Alejandro Cabrera Gaytán (DA)

Instituto Mexicano del Seguro Social, Coordinación de Calidad de Insumos y Laboratorios Especializados, México, México.

Alfonso Vallejos Parás (A)

Instituto Mexicano del Seguro Social, Coordinación de Vigilancia Epidemiológica, México, México.

Alejandro Moctezuma Paz (A)

Instituto Mexicano del Seguro Social, Coordinación de Investigación en Salud, México, México.

Clara Esperanza Santacruz Tinoco (CE)

Instituto Mexicano del Seguro Social, Coordinación de Calidad de Insumos y Laboratorios Especializados, México, México.

Julio Elias Alvarado Yaah (JE)

Instituto Mexicano del Seguro Social, Coordinación de Calidad de Insumos y Laboratorios Especializados, México, México.

Yu Mei Anguiano Hernández (YM)

Instituto Mexicano del Seguro Social, Coordinación de Calidad de Insumos y Laboratorios Especializados, México, México.

Bernardo Martínez Miguel (B)

Instituto Mexicano del Seguro Social, Coordinación de Calidad de Insumos y Laboratorios Especializados, México, México.

Lumumba Arriaga Nieto (L)

Instituto Mexicano del Seguro Social, Coordinación de Vigilancia Epidemiológica, México, México.

Leticia Jaimes Betancourt (L)

Instituto Mexicano del Seguro Social, Unidad de Medicina Familiar No. 7, México, México.

Nancy Sandoval Gutiérrez (N)

Instituto Mexicano del Seguro Social, Coordinación de Calidad de Insumos y Laboratorios Especializados, México, México.

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Classifications MeSH