Lung Ultrasound Examination in Patients with SARS-CoV-2 Infection: Multicenter Study

Autor: Natalia Buda, Jolanta Cylwik, Katarzyna Mróz, Renata Rudzińska, Paweł Dubik, Agnieszka Malczewska, Aleksandra Oraczewska, Szymon Skoczyński, Anna Suska, Tomasz Górecki, Konrad Mendrala, Jakub Piotrkowski, Wojciech Gola, Elena Segura-Grau, Anna Zamojska, Marcin Wełnicki
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Zdroj: Journal of Clinical Medicine, Vol 10, Iss 15, p 3255 (2021)
Druh dokumentu: article
ISSN: 2077-0383
DOI: 10.3390/jcm10153255
Popis: Background: The COVID-19 pandemic has, by necessity, contributed to rapid advancements in medicine. Owing to the necessity of following strict anti-epidemic sanitary measures when taking care of infected patients, the accessibility of standard diagnostic methods may be limited. Consequently, the significance and potential of bedside diagnostic modalities increase, including lung ultrasound (LUS). Method: Multicenter registry study involving adult patients with confirmed COVID-19, for whom LUS was performed. Results: A total of 228 patients (61% males) qualified for the study. The average age was 60 years (±14), 40% were older than 65 years of age. In 130 from 173 hospitalized patients, HRCT (high-resolution computed tomography) was performed. In 80% of patients, LUS findings indicated interstitial pneumonia. In hospitalized patients multifocally located single B-lines, symmetrical B-lines, and areas of white lung were significantly more frequent as compared to ambulatory patients. LUS findings, both those indicating interstitial syndrome and consolidations, were positively correlated with HRCT images. As compared to HRCT, the sensitivity and specificity of LUS in detecting interstitial pneumonia were 97% and 100%, respectively. Conclusions: As compared to HRCT, LUS is characterized by a very high sensitivity and specificity in detecting interstitial pneumonia in COVID-19 patients. Potentially, LUS can be a particularly useful diagnostic modality for COVID-19 patients pneumonia.
Databáze: Directory of Open Access Journals
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