Lung ultrasound with patients'characteristics can accurately identify COVID-19 pneumonia
Italy: Lung ultrasound (LUS) patterns of probability together with clinical phenotypes at presentation can help in rapid identification of patients with or without COVID-19 pneumonia at bedside with high accuracy, a recent study has revealed.According to the study, published in the journal Intensive Care Medicine, this approach can expedite and support management of patients during...
Italy: Lung ultrasound (LUS) patterns of probability together with clinical phenotypes at presentation can help in rapid identification of patients with or without COVID-19 pneumonia at bedside with high accuracy, a recent study has revealed.
According to the study, published in the journal Intensive Care Medicine, this approach can expedite and support management of patients during a pandemic surge.
Giovanni Volpicelli and Luna Gargani from Italy, aimed analyze the application of a 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.
For the purpose, the researchers performed an international multicenter observational study in 20 US and European hospitals. Testing of suspected COVID-19 patients was done using transcription-polymerase chain reaction (RT-PCR) swab test and they also underwent LUS examination.
The researcher 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. LUS likelihood of COVID-19 pneumonia was defined 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.
Key findings of the study include:
- 1462 patients, classified in mild (n = 400), severe (n = 727), and mixed (n = 335) phenotypes were studied.
- HighLUS and IntLUS showed an overall sensitivity of 90.2% 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% that was higher in the mild phenotype.
- At multivariate analysis, the HighLUS was a strong independent predictor of RT-PCR positivity (odds ratio 4.2).
"In patients suspected for COVID-19, lung ultrasound patterns of probability integrated with patients' characteristics allow to rule in or rule out COVID-19 pneumonia at bedside with high accuracy, according to the different clinical phenotypes," wrote the authors. "This approach could support and expedite patients' management during a pandemic surge."
The study titled, "Lung ultrasound for the early diagnosis of COVID-19 pneumonia: an international multicenter study," is published in the journal Intensive Care Medicine.
Medha Baranwal joined Medical Dialogues as an Editor in 2018 for Speciality Medical Dialogues. She covers several medical specialties including Cardiac Sciences, Dentistry, Diabetes and Endo, Diagnostics, ENT, Gastroenterology, Neurosciences, and Radiology. She has completed her Bachelors in Biomedical Sciences from DU and then pursued Masters in Biotechnology from Amity University. She has a working experience of 5 years in the field of medical research writing, scientific writing, content writing, and content management. She can be contacted at firstname.lastname@example.org. Contact no. 011-43720751