Evidence map›Paper›PMID 38835101›Full record

ArticlePneumonia (Nathan Qld.)2024

Back to the future: the novel art of digital auscultation applied in a prospective observational study of critically ill Covid-19 patients.

Evangelos Kaimakamis, Serafeim Kotoulas, Myrto Tzimou, Christos Karachristos, Chrysavgi Giannaki, Vassileios Kilintzis, Leandros Stefanopoulos, Evangelos Chatzis, Nikolaos Beredimas, Bruno Rocha and 4 more

Abstract read
In one paragraph

Article in Pneumonia (Nathan Qld.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

14 authors.

Evangelos Kaimakamis1st Intensive Care Unit, "G. Papanikolaou" General Hospital, Exochi Thessalonikis, 57010, Greece. vakaimak@yahoo.gr.ORCID http://orcid.org/0000-0003-2081-0337
Serafeim Kotoulas1st Intensive Care Unit, "G. Papanikolaou" General Hospital, Exochi Thessalonikis, 57010, Greece.
Myrto Tzimou1st Intensive Care Unit, "G. Papanikolaou" General Hospital, Exochi Thessalonikis, 57010, Greece.
Christos Karachristos1st Intensive Care Unit, "G. Papanikolaou" General Hospital, Exochi Thessalonikis, 57010, Greece.
Chrysavgi Giannaki1st Intensive Care Unit, "G. Papanikolaou" General Hospital, Exochi Thessalonikis, 57010, Greece.
Vassileios KilintzisLab of Computing, Medical Informatics and Biomedical Imaging Technologies, The Medical School, Aristotle University, Thessaloniki, Greece.
Leandros StefanopoulosLab of Computing, Medical Informatics and Biomedical Imaging Technologies, The Medical School, Aristotle University, Thessaloniki, Greece.
Evangelos ChatzisLab of Computing, Medical Informatics and Biomedical Imaging Technologies, The Medical School, Aristotle University, Thessaloniki, Greece.
Nikolaos BeredimasLab of Computing, Medical Informatics and Biomedical Imaging Technologies, The Medical School, Aristotle University, Thessaloniki, Greece.
Bruno RochaCentre for Informatics and Systems of the University of Coimbra, Department of Informatics Engineering, University of Coimbra, LASI, Coimbra, Portugal.
Diogo PessoaCentre for Informatics and Systems of the University of Coimbra, Department of Informatics Engineering, University of Coimbra, LASI, Coimbra, Portugal.
Rui Pedro PaivaCentre for Informatics and Systems of the University of Coimbra, Department of Informatics Engineering, University of Coimbra, LASI, Coimbra, Portugal.
Nicos Maglaveras2nd Department of Obstetrics and Gynecology, The Medical School, Thessaloniki, 54124, Greece.
Militsa Bitzani1st Intensive Care Unit, "G. Papanikolaou" General Hospital, Exochi Thessalonikis, 57010, Greece.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe Covid-19 pandemic has caused immense pressure on Intensive Care Units (ICU). In patients with severe ARDS due to Covid-19, respiratory mechanics are important for determining the severity of lung damage. Lung auscultation could not be used during the pandemic despite its merit. The main objective of this study was to investigate associations between lung auscultatory sound features and lung mechanical properties, length of stay (LOS) and survival, in adults with severe Covid-19 ARDS.

methodsConsecutive patients admitted to a large ICU between 2020 and 2021 (n = 173) were included. Digital stethoscopes obtained auscultatory sounds and stored them in an on-line database for replay and further processing using advanced AI techniques. Correlation and regression analysis explored relationships between digital auscultation findings and lung mechanics or the ICU outcome. The resulting annotated lung sounds database is also publicly available as supplementary material.

resultsThe presence of squawks was associated with the ICU LOS, outcome and 90-day mortality. Other features (age, SOFA score & oxygenation index upon admission, minimum crackle entropy) had significant impact on outcome. Additional features affecting the 90-d survival were age and mean crackle entropy. Multivariate logistic regression showed that survival was affected by age, baseline SOFA, baseline oxygenation index and minimum crackle entropy.

conclusionsRespiratory mechanics were associated with various adventitious sounds, whereas the lung sound analytics and the presence of certain adventitious sounds correlated with the ICU outcome and the 90-d survival. Spectral features of crackles sounds can serve as prognostic factors for survival, highlighting the importance of digital auscultation.

Indexed as

Adventitious lung soundsARDSICU survivalLung sounds databaseSpectral analysisSquawks

Identifiers

PMID38835101
PMCPMC11151547

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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.