COVID-19 patient variables associated with the detection of airborne SARS-CoV-2

Background: Understanding the COVID-19 patient characteristics that impact environmental SARS-CoV-2 load is essential for improving infection risk management. In this study, we analyzed the influence of patient variables on airborne SARS-CoV-2 genome detection. Methods: Sixty-nine COVID-19 patients...

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Detalles Bibliográficos
Autores: Truyols-Vives, Joan, Escarrer-Garau, Gabriel, Arbona-González, Laura, Toledo-Pons, Núria, Sauleda Roig, Jaume, Ferrer, Miguel David, Fraile-Ribot, Pablo, Doménech-Sánchez, Antonio, García-Baldoví, Herme, Sala-Llinàs, Ernest, Colom-Fernández, Antoni, Mercader-Barceló, Josep
Tipo de recurso: artículo
Fecha de publicación:2025
País:España
Institución:Conselleria de Salut i Consum del Govern de les Illes Balears
Repositorio:Docusalut
Idioma:inglés
OAI Identifier:oai:docusalut.com:20.500.13003/25101
Acceso en línea:https://hdl.handle.net/20.500.13003/25101
Access Level:acceso abierto
Palabra clave:Airborne transmission
COVID-19
Droplet digital PCR
Preventive measures
SARS-CoV-2
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spelling COVID-19 patient variables associated with the detection of airborne SARS-CoV-2Truyols-Vives, JoanEscarrer-Garau, GabrielArbona-González, LauraToledo-Pons, NúriaSauleda Roig, JaumeFerrer, Miguel DavidFraile-Ribot, PabloDoménech-Sánchez, AntonioGarcía-Baldoví, HermeSala-Llinàs, ErnestColom-Fernández, AntoniMercader-Barceló, JosepAirborne transmissionCOVID-19Droplet digital PCRPreventive measuresSARS-CoV-2Background: Understanding the COVID-19 patient characteristics that impact environmental SARS-CoV-2 load is essential for improving infection risk management. In this study, we analyzed the influence of patient variables on airborne SARS-CoV-2 genome detection. Methods: Sixty-nine COVID-19 patients were recruited across three independent studies with airborne SARS-CoV-2 genome assessed in individual hospital rooms using droplet digital PCR. Results: In the bivariate analysis, the odds of airborne SARS-CoV-2 detection were significantly higher for patients with obesity, chronic respiratory diseases, pneumonia at admission, sampling, and discharge, and lower lymphocytes count. No significant associations were found between airborne SARS-CoV-2 detection and symptoms presence or duration, nor with the results of the most recent positive nasopharyngeal PCR test prior to air sampling. In the multivariate analysis, the best-fit model included patient age, type of admission, and symptoms duration. Patient age significantly contributed to the risk of airborne SARS-CoV-2 detection in the multivariate analysis. Conclusions: Our findings highlight the variability in individual responses to SARS-CoV-2 infection and suggest that factors linked to COVID-19 severity, symptomatology, and immunocompetence influence the airborne SARS-CoV-2 detection. Our results may support the development of more precise preventive measures in healthcare settings.Elsevier20252025-04-2220252025-04-22research articlehttp://purl.org/coar/resource_type/c_2df8fbb1info:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/20.500.13003/25101reponame:Docusalutinstname:Conselleria de Salut i Consum del Govern de les Illes BalearsInglésengopen accesshttp://purl.org/coar/access_right/c_abf2Attribution-NonCommercial-NoDerivatives 4.0 Internationalhttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessoai:docusalut.com:20.500.13003/251012026-06-22T12:44:07Z
dc.title.none.fl_str_mv COVID-19 patient variables associated with the detection of airborne SARS-CoV-2
title COVID-19 patient variables associated with the detection of airborne SARS-CoV-2
spellingShingle COVID-19 patient variables associated with the detection of airborne SARS-CoV-2
Truyols-Vives, Joan
Airborne transmission
COVID-19
Droplet digital PCR
Preventive measures
SARS-CoV-2
title_short COVID-19 patient variables associated with the detection of airborne SARS-CoV-2
title_full COVID-19 patient variables associated with the detection of airborne SARS-CoV-2
title_fullStr COVID-19 patient variables associated with the detection of airborne SARS-CoV-2
title_full_unstemmed COVID-19 patient variables associated with the detection of airborne SARS-CoV-2
title_sort COVID-19 patient variables associated with the detection of airborne SARS-CoV-2
dc.creator.none.fl_str_mv Truyols-Vives, Joan
Escarrer-Garau, Gabriel
Arbona-González, Laura
Toledo-Pons, Núria
Sauleda Roig, Jaume
Ferrer, Miguel David
Fraile-Ribot, Pablo
Doménech-Sánchez, Antonio
García-Baldoví, Herme
Sala-Llinàs, Ernest
Colom-Fernández, Antoni
Mercader-Barceló, Josep
author Truyols-Vives, Joan
author_facet Truyols-Vives, Joan
Escarrer-Garau, Gabriel
Arbona-González, Laura
Toledo-Pons, Núria
Sauleda Roig, Jaume
Ferrer, Miguel David
Fraile-Ribot, Pablo
Doménech-Sánchez, Antonio
García-Baldoví, Herme
Sala-Llinàs, Ernest
Colom-Fernández, Antoni
Mercader-Barceló, Josep
author_role author
author2 Escarrer-Garau, Gabriel
Arbona-González, Laura
Toledo-Pons, Núria
Sauleda Roig, Jaume
Ferrer, Miguel David
Fraile-Ribot, Pablo
Doménech-Sánchez, Antonio
García-Baldoví, Herme
Sala-Llinàs, Ernest
Colom-Fernández, Antoni
Mercader-Barceló, Josep
author2_role author
author
author
author
author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv
dc.subject.none.fl_str_mv Airborne transmission
COVID-19
Droplet digital PCR
Preventive measures
SARS-CoV-2
topic Airborne transmission
COVID-19
Droplet digital PCR
Preventive measures
SARS-CoV-2
description Background: Understanding the COVID-19 patient characteristics that impact environmental SARS-CoV-2 load is essential for improving infection risk management. In this study, we analyzed the influence of patient variables on airborne SARS-CoV-2 genome detection. Methods: Sixty-nine COVID-19 patients were recruited across three independent studies with airborne SARS-CoV-2 genome assessed in individual hospital rooms using droplet digital PCR. Results: In the bivariate analysis, the odds of airborne SARS-CoV-2 detection were significantly higher for patients with obesity, chronic respiratory diseases, pneumonia at admission, sampling, and discharge, and lower lymphocytes count. No significant associations were found between airborne SARS-CoV-2 detection and symptoms presence or duration, nor with the results of the most recent positive nasopharyngeal PCR test prior to air sampling. In the multivariate analysis, the best-fit model included patient age, type of admission, and symptoms duration. Patient age significantly contributed to the risk of airborne SARS-CoV-2 detection in the multivariate analysis. Conclusions: Our findings highlight the variability in individual responses to SARS-CoV-2 infection and suggest that factors linked to COVID-19 severity, symptomatology, and immunocompetence influence the airborne SARS-CoV-2 detection. Our results may support the development of more precise preventive measures in healthcare settings.
publishDate 2025
dc.date.none.fl_str_mv 2025
2025-04-22
2025
2025-04-22
dc.type.none.fl_str_mv research article
http://purl.org/coar/resource_type/c_2df8fbb1
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://hdl.handle.net/20.500.13003/25101
url https://hdl.handle.net/20.500.13003/25101
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution-NonCommercial-NoDerivatives 4.0 International
http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution-NonCommercial-NoDerivatives 4.0 International
http://creativecommons.org/licenses/by-nc-nd/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:Docusalut
instname:Conselleria de Salut i Consum del Govern de les Illes Balears
instname_str Conselleria de Salut i Consum del Govern de les Illes Balears
reponame_str Docusalut
collection Docusalut
repository.name.fl_str_mv
repository.mail.fl_str_mv
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