Please use this identifier to cite or link to this item:
http://hdl.handle.net/2445/198350
Title: | Differences in acoustic features of cough by pneumonia severity in patients with COVID-19: a cross-sectional study |
Author: | Davidson, Clare Caguana, Oswaldo Antonio Lozano García, Manuel Arita Guevara, Mariela Estrada Petrocelli, Luis Ferrer Lluis, Ignasi Castillo Escario, Yolanda Ausin, Pilar Gea Guiral, Joaquim Jané, Raimon |
Keywords: | COVID-19 Pneumònia Tos COVID-19 Pneumonia Cough |
Issue Date: | 2-Feb-2023 |
Publisher: | European Respiratory Society |
Abstract: | BackgroundAcute respiratory syndrome due to coronavirus 2 (SARS-CoV-2) is characterised by heterogeneous levels of disease severity. It is not necessarily apparent whether a patient will develop a severe disease or not. This cross-sectional study explores whether acoustic properties of the cough sound of patients with coronavirus disease (COVID-19), the illness caused by SARS-CoV-2, correlate with their disease and pneumonia severity, with the aim of identifying patients with a severe disease.MethodsVoluntary cough sounds were recorded using a smartphone in 70 COVID-19 patients within the first 24 h of their hospital arrival, between April 2020 and May 2021. Based on gas exchange abnormalities, patients were classified as mild, moderate, or severe. Time- and frequency-based variables were obtained from each cough effort and analysed using a linear mixed-effects modelling approach.ResultsRecords from 62 patients (37% female) were eligible for inclusion in the analysis, with mild, moderate, and severe groups consisting of 31, 14 and 17 patients respectively. 5 of the parameters examined were found to be significantly different in the cough of patients at different disease levels of severity, with a further 2 parameters found to be affected differently by the disease severity in men and women.ConclusionsWe suggest that all these differences reflect the progressive pathophysiological alterations occurring in the respiratory system of COVID-19 patients, and potentially would provide an easy and cost-effective way to initially stratify patients, identifying those with more severe disease, and thereby most effectively allocate healthcare resources. |
Note: | https://doi.org/10.1183/23120541.00247-2022 |
It is part of: | ERJ Open Research, 2023, vol. 9 |
URI: | http://hdl.handle.net/2445/198350 |
Related resource: | https://doi.org/10.1183/23120541.00247-2022 |
ISSN: | 2312-0541 |
Appears in Collections: | Articles publicats en revistes (Institut de Bioenginyeria de Catalunya (IBEC)) |
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File | Description | Size | Format | |
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2023_ERJOpeRes_Differences_JaneR.pdf | 1.14 MB | Adobe PDF | View/Open |
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