Evidence map›Paper›PMID 37131524›Full record

ArticleERJ open research2023

Differences in acoustic features of cough by pneumonia severity in patients with COVID-19: a cross-sectional study.

Clare Davidson, Oswaldo Antonio Caguana, Manuel Lozano-García, Mariela Arita Guevara, Luis Estrada-Petrocelli, Ignasi Ferrer-Lluis, Yolanda Castillo-Escario, Pilar Ausín, Joaquim Gea, Raimon Jané

Abstract read
In one paragraph

Article in ERJ open research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Clare DavidsonInstitute for Bioengineering of Catalonia, The Barcelona Institute of Science and Technology, Barcelona, Spain.ORCID https://orcid.org/0000-0002-3420-1201
Oswaldo Antonio CaguanaRespiratory Medicine Department, Hospital del Mar - IMIM, MELIS, Universitat Pompeu Fabra, CIBERES, ISCiii, BRN, Barcelona, Spain.ORCID https://orcid.org/0000-0002-5028-7439
Manuel Lozano-GarcíaInstitute for Bioengineering of Catalonia, The Barcelona Institute of Science and Technology, Barcelona, Spain.ORCID https://orcid.org/0000-0002-4146-9839
Mariela Arita GuevaraRespiratory Medicine Department, Hospital del Mar - IMIM, MELIS, Universitat Pompeu Fabra, CIBERES, ISCiii, BRN, Barcelona, Spain.ORCID https://orcid.org/0000-0002-6208-7135
Luis Estrada-PetrocelliInstitute for Bioengineering of Catalonia, The Barcelona Institute of Science and Technology, Barcelona, Spain.ORCID https://orcid.org/0000-0002-4126-4462
Ignasi Ferrer-LluisInstitute for Bioengineering of Catalonia, The Barcelona Institute of Science and Technology, Barcelona, Spain.ORCID https://orcid.org/0000-0002-0281-9023
Yolanda Castillo-EscarioInstitute for Bioengineering of Catalonia, The Barcelona Institute of Science and Technology, Barcelona, Spain.ORCID https://orcid.org/0000-0002-7493-1268
Pilar AusínRespiratory Medicine Department, Hospital del Mar - IMIM, MELIS, Universitat Pompeu Fabra, CIBERES, ISCiii, BRN, Barcelona, Spain.ORCID https://orcid.org/0000-0003-4559-567X
Joaquim GeaRespiratory Medicine Department, Hospital del Mar - IMIM, MELIS, Universitat Pompeu Fabra, CIBERES, ISCiii, BRN, Barcelona, Spain.ORCID https://orcid.org/0000-0001-8718-7346
Raimon JanéUniversitat Politècnica de Catalunya-Barcelona Tech, Barcelona, Spain.ORCID https://orcid.org/0000-0002-6541-8729

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Acute 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 severe disease or not. This cross-sectional study explores whether acoustic properties of the cough sound of patients with coronavirus disease 2019 (COVID-19), the illness caused by SARS-CoV-2, correlate with their disease and pneumonia severity, with the aim of identifying patients with severe disease. Methods: Voluntary 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. Results: Records 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. Five of the parameters examined were found to be significantly different in the cough of patients at different disease levels of severity, with a further two parameters found to be affected differently by the disease severity in men and women. Conclusions: We 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.

Identifiers

PMID37131524
PMCPMC9922471

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.