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...
| Autores: | , , , , , , , , , , , |
|---|---|
| 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 |
| Sumario: | 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. |
|---|