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Title:

Pulmonary Findings in Hospitalized COVID-19 Patients Assessed by Lung Ultrasonography (LUS) - A Prospective Registry Study.

Document type:
Journal Article
Author(s):
Barner, Anna; Burian, Egon; Simon, Alexander; Castillo, Katty; Waschulzik, Birgit; Braren, Rickmer; Heemann, Uwe; Osterwalder, Joseph; Spiel, Alexander; Heim, Markus; Stock, Konrad Friedrich
Abstract:
PURPOSE: This prospective two-centre study investigated localisation-dependent lesion patterns in COVID-19 with standard lung ultrasonography (LUS) and their relationship with thoracic computed tomography (CT) and clinical parameters. MATERIALS AND METHODS: Between April 2020 and April 2021, 52 SARS-CoV-2-positive patients in two hospitals were examined by means of LUS for "B-lines", fragmented pleura, consolidation and air bronchogram in 12 lung regions and for pleural effusions. A newly developed LUS score based on the number of features present was correlated with clinical parameters (respiration, laboratory parameters) and the CT and analysed with respect to the 30- and 60-day outcome. All patients were offered an outpatient LUS follow-up. RESULTS: The LUS and CT showed a bilateral, partially posteriorly accentuated lesion distribution pattern. 294/323 (91%) of CT-detected lesions were pleural. The LUS score showed an association with respiratory status and C-reactive protein; the correlation with the CT score was weak (Spearman's rho = 0.339, p < 0.001). High LUS scores on admission were also observed in patients who were discharged within 30 days. LUS during follow-up showed predominantly declining LUS scores. CONCLUSION: The LUS score reflected the clinical condition of the patients. No conclusion could be made on the prognostic value of the LUS, because of the low event rate. The LUS and CT score showed no sufficient correlation. This is probably due to different physical principles, which is why LUS could be of complementary value.
Journal title abbreviation:
Ultraschall Med
Year:
2023
Journal volume:
44
Journal issue:
5
Pages contribution:
e248-e256
Fulltext / DOI:
doi:10.1055/a-2013-8045
Pubmed ID:
http://view.ncbi.nlm.nih.gov/pubmed/36646113
Print-ISSN:
0172-4614
TUM Institution:
Institut für Diagnostische und Interventionelle Radiologie (Prof. Makowski); Klinik für Anästhesiologie (DHM); Lehrstuhl für Medizinische Informatik (Prof. Boeker); Professur für Nephrologie (Prof. Heemann)
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