Lung Ultrasound Findings Are Associated with Mortality and Need for Intensive Care Admission in COVID-19 Patients Evaluated in the Emergency Department.
Betacoronavirus
COVID-19
COVID-19 Testing
Clinical Laboratory Techniques
Coronavirus Infections
/ diagnosis
Emergency Service, Hospital
/ organization & administration
Female
Humans
Intensive Care Units
Italy
/ epidemiology
Male
Middle Aged
Pandemics
Patient Admission
Pneumonia, Viral
/ diagnostic imaging
Predictive Value of Tests
Prospective Studies
SARS-CoV-2
Ultrasonography
/ methods
COVID-19
Emergency medicine
Lung ultrasound
Pneumonia
SARS-CoV-2
Journal
Ultrasound in medicine & biology
ISSN: 1879-291X
Titre abrégé: Ultrasound Med Biol
Pays: England
ID NLM: 0410553
Informations de publication
Date de publication:
11 2020
11 2020
Historique:
received:
22
05
2020
revised:
17
06
2020
accepted:
08
07
2020
pubmed:
17
8
2020
medline:
2
10
2020
entrez:
17
8
2020
Statut:
ppublish
Résumé
Lung ultrasound (LUS) has recently been advocated as an accurate tool to diagnose coronavirus disease 2019 (COVID-19) pneumonia. However, reports on its use are based mainly on hypothesis studies, case reports or small retrospective case series, while the prognostic role of LUS in COVID-19 patients has not yet been established. We conducted a prospective study aimed at assessing the ability of LUS to predict mortality and intensive care unit admission of COVID-19 patients evaluated in a tertiary level emergency department. Patients in our sample had a median of 6 lung areas with pathologic findings (inter-quartile range [IQR]: 6, range: 0-14), defined as a score different from 0. The median rate of lung areas involved was 71% (IQR: 64%, range: 0-100), while the median average score was 1.14 (IQR: 0.93, range: 0-3). A higher rate of pathologic lung areas and a higher average score were significantly associated with death, with an estimated difference of 40.5% (95% confidence interval [CI]: 4%-68%, p = 0.01) and of 0.47 (95% CI: 0.06-0.93, p = 0.02), respectively. Similarly, the same parameters were associated with a significantly higher risk of intensive care unit admission with estimated differences of 29% (95% CI: 8%-50%, p = 0.008) and 0.47 (95% CI: 0.05-0.93, p = 0.02), respectively. Our study indicates that LUS is able to detect COVID-19 pneumonia and to predict, during the first evaluation in the emergency department, patients at risk for intensive care unit admission and death.
Identifiants
pubmed: 32798003
pii: S0301-5629(20)30302-1
doi: 10.1016/j.ultrasmedbio.2020.07.005
pmc: PMC7362856
pii:
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
2927-2937Informations de copyright
Copyright © 2020 World Federation for Ultrasound in Medicine & Biology. Published by Elsevier Inc. All rights reserved.
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