PT  - JOURNAL ARTICLE
AU  - Davidson, Clare
AU  - Caguana, Antonio
AU  - Lozano-García, Manuel
AU  - Arita, M
AU  - Estrada-Petrocelli, Luis
AU  - Ferrer-Lluis, Ignasi
AU  - Castillo-Escario, Yolanda
AU  - Ausín, P
AU  - Gea, J
AU  - Jané, Raimon
TI  - Diagnostic role of the cough profile in COVID-19 patients
AID  - 10.1183/13993003.congress-2021.PA3872
DP  - 2021 Sep 05
TA  - European Respiratory Journal
PG  - PA3872
VI  - 58
IP  - suppl 65
4099  - http://erj.ersjournals.com/content/58/suppl_65/PA3872.short
4100  - http://erj.ersjournals.com/content/58/suppl_65/PA3872.full
SO  - Eur Respir J2021 Sep 05; 58
AB  - Introduction: SARS-2-CoV infection, or COVID-19, is characterized by a heterogeneous evolution that goes from the absence of symptoms to a very serious disease, which can result in death. To date, we do not have instruments that allow us to easily predict the level of respiratory involvement in COVID-19. We hypothesized that there would be a relationship between the frequency content of patients cough sound and the severity of their disease.Methods: 36 COVID-19 patients (17 male, 52 (44 - 56) yrs.) with different degrees of severity of pneumonia were included in this study. Spontaneous cough or that obtained after induction maneuvers were recorded. Phase 1 and 2 of 129 individual cough epochs were identified, and several frequency-based features were explored.Results: Analysis shows a significant difference between groups in which pneumonia was present and absent for both maximum frequency and the variability of the frequency in phase 1 of the cough signal, as well as between the group in which pneumonia was absent and that in which pneumonia was severe (Fig. 1).Conclusions: The results presented suggest that aspects of the frequency content of the cough sound of COVID-19 patients are affected by the disease severity.Acknowledgment: This work was supported in part by Grant RTI2018-098472-B-I00 MCIU/AEI/FEDER, UE. FootnotesCite this article as: European Respiratory Journal 2021; 58: Suppl. 65, PA3872.This abstract was presented at the 2021 ERS International Congress, in session “Prediction of exacerbations in patients with COPD”.This is an ERS International Congress abstract. No full-text version is available. Further material to accompany this abstract may be available at www.ers-education.org (ERS member access only).