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10.1007/s00134-021-06373-7

http://scihub22266oqcxt.onion/10.1007/s00134-021-06373-7
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suck abstract from ncbi


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pmid33743018      Intensive+Care+Med 2021 ; 47 (4): 444-454
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  • Lung ultrasound for the early diagnosis of COVID-19 pneumonia: an international multicenter study #MMPMID33743018
  • Volpicelli G; Gargani L; Perlini S; Spinelli S; Barbieri G; Lanotte A; Casasola GG; Nogue-Bou R; Lamorte A; Agricola E; Villen T; Deol PS; Nazerian P; Corradi F; Stefanone V; Fraga DN; Navalesi P; Ferre R; Boero E; Martinelli G; Cristoni L; Perani C; Vetrugno L; McDermott C; Miralles-Aguiar F; Secco G; Zattera C; Salinaro F; Grignaschi A; Boccatonda A; Giostra F; Infante MN; Covella M; Ingallina G; Burkert J; Frumento P; Forfori F; Ghiadoni L
  • Intensive Care Med 2021[Apr]; 47 (4): 444-454 PMID33743018show ga
  • PURPOSE: 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. METHODS: 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. RESULTS: 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). CONCLUSION: 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.
  • |*Ultrasonography[MESH]
  • |Adult[MESH]
  • |Aged[MESH]
  • |COVID-19/*diagnostic imaging[MESH]
  • |Early Diagnosis[MESH]
  • |Humans[MESH]
  • |Lung/*diagnostic imaging[MESH]


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