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Lung ultrasound for the early diagnosis of COVID-19 pneumonia: an international multicenter study.
- Source :
- Intensive Care Medicine; Apr2021, Vol. 47 Issue 4, p444-454, 11p, 1 Color Photograph, 1 Black and White Photograph, 1 Diagram, 2 Charts, 1 Graph
- Publication Year :
- 2021
-
Abstract
- <bold>Purpose: </bold>To analyze the application of a lung ultrasound (LUS)-based diagnostic approach to patients suspected of COVID-19, combining the LUS likelihood of COVID-19 pneumonia with patient's symptoms and clinical history.<bold>Methods: </bold>This is an international multicenter observational study in 20 US and European hospitals. Patients suspected of COVID-19 were tested with reverse transcription-polymerase chain reaction (RT-PCR) swab test and had an LUS examination. We identified three clinical phenotypes based on pre-existing chronic diseases (mixed phenotype), and on the presence (severe phenotype) or absence (mild phenotype) of signs and/or symptoms of respiratory failure at presentation. We defined the LUS likelihood of COVID-19 pneumonia according to four different patterns: high (HighLUS), intermediate (IntLUS), alternative (AltLUS), and low (LowLUS) probability. The combination of patterns and phenotypes with RT-PCR results was described and analyzed.<bold>Results: </bold>We studied 1462 patients, classified in mild (n = 400), severe (n = 727), and mixed (n = 335) phenotypes. HighLUS and IntLUS showed an overall sensitivity of 90.2% (95% CI 88.23-91.97%) in identifying patients with positive RT-PCR, with higher values in the mixed (94.7%) and severe phenotype (97.1%), and even higher in those patients with objective respiratory failure (99.3%). The HighLUS showed a specificity of 88.8% (CI 85.55-91.65%) that was higher in the mild phenotype (94.4%; CI 90.0-97.0%). At multivariate analysis, the HighLUS was a strong independent predictor of RT-PCR positivity (odds ratio 4.2, confidence interval 2.6-6.7, p < 0.0001).<bold>Conclusion: </bold>Combining LUS patterns of probability with clinical phenotypes at presentation can rapidly identify those patients with or without COVID-19 pneumonia at bedside. This approach could support and expedite patients' management during a pandemic surge. [ABSTRACT FROM AUTHOR]
- Subjects :
- ULTRASONIC imaging
COVID-19 testing
EARLY diagnosis
COVID-19
LUNGS
Subjects
Details
- Language :
- English
- ISSN :
- 03424642
- Volume :
- 47
- Issue :
- 4
- Database :
- Complementary Index
- Journal :
- Intensive Care Medicine
- Publication Type :
- Academic Journal
- Accession number :
- 149732329
- Full Text :
- https://doi.org/10.1007/s00134-021-06373-7