Lung ultrasonography features and risk stratification in 80 patients with COVID-19: a prospective observational cohort study Article Swipe
Thomas Brahier
,
Jean‐Yves Meuwly
,
Olivier Pantet
,
Marie-Josée Brochu Vez
,
Hélène Gerhard Donnet
,
Mary‐Anne Hartley
,
Olivier Hügli
,
Noémie Boillat‐Blanco
·
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.5281/zenodo.3763421
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.5281/zenodo.3763421
Background Point-of-care lung ultrasound (LUS) is a promising and pragmatic risk stratification tool in COVID-19. This study describes and compares early LUS characteristics across of range of clinical outcomes. Method Prospective observational study of PCR-confirmed COVID-19 patients in the emergency department (ED) of Lausanne University Hospital. A trained physician recorded LUS images using a standardized protocol. Two experts retrospectively reviewed images blinded to patient outcome. We describe and compare early LUS findings (acquired within 24hours of presentation at the ED) between patient groups based on their outcome at 7-days after inclusion: 1) self-resolving outpatients, 2) hospitalised and 3) intubated/death. The LUS score was used to discriminate between groups. Findings Between March 6 and April 3 2020, we included 80 patients (18 outpatients, 41 hospitalized and 21 intubated/dead). 73 patients (91%) had abnormal LUS (72% outpatients, 95% hospitalised and 100% intubated/death; p=0.004). The proportion of involved zones was lower in outpatients compared with other groups (median 30% [IQR 0-40%], 44% [33-70%] and 70% [50-88%], p<0.001). Predominant abnormal patterns were bilateral and multifocal spread thickening of the pleura with pleural line irregularities (77%), confluent B lines (66%) and pathologic B lines (55%). Posterior inferior zones were more often affected. Median LUS score had a good level of discrimination between outpatients and others with area under the ROC of 0.80 (95% CI 0.66-0.95). Interpretation Systematic LUS is a reliable, cheap and easy-to-use triage tool for the early stratification of risk in COVID-19 patients presenting at emergency departments. Funding Leenaards Foundation
Related Topics
Concepts
Observational study
Risk stratification
Coronavirus disease 2019 (COVID-19)
Medicine
Prospective cohort study
Lung
Stratification (seeds)
Cohort study
Cohort
Internal medicine
Ultrasonography
Radiology
Infectious disease (medical specialty)
Disease
Biology
Botany
Seed dormancy
Germination
Dormancy
Metadata
- Type
- dataset
- Language
- en
- Landing Page
- https://zenodo.org/record/3763421
- OA Status
- green
- Cited By
- 4
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3021135676
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W3021135676Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.5281/zenodo.3763421Digital Object Identifier
- Title
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Lung ultrasonography features and risk stratification in 80 patients with COVID-19: a prospective observational cohort studyWork title
- Type
-
datasetOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2020Year of publication
- Publication date
-
2020-04-27Full publication date if available
- Authors
-
Thomas Brahier, Jean‐Yves Meuwly, Olivier Pantet, Marie-Josée Brochu Vez, Hélène Gerhard Donnet, Mary‐Anne Hartley, Olivier Hügli, Noémie Boillat‐BlancoList of authors in order
- Landing page
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https://zenodo.org/record/3763421Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
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greenOpen access status per OpenAlex
- OA URL
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https://zenodo.org/record/3763421Direct OA link when available
- Concepts
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Observational study, Risk stratification, Coronavirus disease 2019 (COVID-19), Medicine, Prospective cohort study, Lung, Stratification (seeds), Cohort study, Cohort, Internal medicine, Ultrasonography, Radiology, Infectious disease (medical specialty), Disease, Biology, Botany, Seed dormancy, Germination, DormancyTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
4Total citation count in OpenAlex
- Citations by year (recent)
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2021: 2, 2020: 2Per-year citation counts (last 5 years)
- Related works (count)
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10Other works algorithmically related by OpenAlex
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