scholarly journals Role of lung ultrasound in identifying COVID-19 pneumonia in patients with negative swab during the outbreak

2020 ◽  
Vol 16 (1) ◽  
Author(s):  
Giuseppe Aiosa ◽  
Romina Gianfreda ◽  
Marco Pastorino ◽  
Piero Davio

Lung ultrasound is a reasonable tool for detection of manifestations of COVID-19, to facilitate the division of patients flow of infected with SARS-CoV-2 from those affected by other pathologies. Often, a reason for the incorrect separation of the flows is the possibility of false-negative rRT-PCR results. We aimed to evaluate the advantages of performing Lung Ultrasound (LUS) in patients with a negative swab, to confirm the suspicious of COVID-19 at the bedside, according to the recent findings of typical lung ultrasound lesions of COVID19 related pneumonia. We analyzed 11 non-critical patients admitted to Emergency Department in the Internal Medicine ward, during outbreak, as Covid-19 negative patients affected by pneumonia. The result of the ultrasound findings conditioned the consequent allocation of the patient. 9/11 patients had typical LUS findings for COVID-19, but only 3/11 patients had a second positive nasopharyngeal swab, and 2/11 had positive swab on pleural fluid. 6/11 patients remained negative with strongly suspicious LUS lesions, and so treated and isolated as Covid-19 positive. 2/11 had negative swab and none LUS findings, thus treated as affected by other pathologies. These findings clearly show how LUS plays an important role together with the chest x-ray in identifying patients with interstitial pneumonia from COVID-19.

2021 ◽  
Vol 2021 ◽  
pp. 1-4
Author(s):  
Kathryn B. Bartlett ◽  
Lexis T. Laubach ◽  
Elizabeth M. Evans ◽  
Kevin R. Roth

Introduction. The fight against COVID-19 poses questions as to the clinical presentation, course, diagnosis, and treatment of the condition. This case study presents a patient infected with COVID-19 and suggests with additional research, that bedside ultrasound may be used to diagnose severity of disease and potentially, prognosticate functional lung recovery without using unnecessary resources and exposing additional healthcare professionals to infection. Case Report. A 46-year-old male presented to the emergency department (ED) with cough, fever, and shortness of breath. Chest X-ray showed patchy airspace opacities bilaterally. Rapid testing resulted positive for SARS-CoV-2. Bedside ultrasound showed abnormal lung parenchyma, with diffuse comet tail artifacts, consistent with interstitial pulmonary edema. Following a prolonged intubation, patient’s abnormal lung ultrasound findings are resolved.


2019 ◽  
Vol 0 (0) ◽  
pp. 0-0
Author(s):  
Nermeen Ali ◽  
Hassan Maguid ◽  
Neven Gamil ◽  
Mohamed Tawfeek ◽  
Sameh Hegab

Diagnostics ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. 437
Author(s):  
Barbara Brogna ◽  
Elio Bignardi ◽  
Claudia Brogna ◽  
Mena Volpe ◽  
Giulio Lombardi ◽  
...  

Imaging plays an important role in the detection of coronavirus (COVID-19) pneumonia in both managing the disease and evaluating the complications. Imaging with chest computed tomography (CT) can also have a potential predictive and prognostic role in COVID-19 patient outcomes. The aim of this pictorial review is to describe the role of imaging with chest X-ray (CXR), lung ultrasound (LUS), and CT in the diagnosis and management of COVID-19 pneumonia, the current indications, the scores proposed for each modality, the advantages/limitations of each modality and their role in detecting complications, and the histopathological correlations.


2019 ◽  
Vol 25 (6) ◽  
pp. 887-897
Author(s):  
Nermeen Ali ◽  
Hassan Maguid ◽  
Neven Gamil ◽  
Mohamed Tawfeek ◽  
Sameh Hegab

Author(s):  
Ryan C. Gibbons ◽  
Mark Magee ◽  
Harry Goett ◽  
James Murrett ◽  
Jessica Genninger ◽  
...  

Radiology ◽  
1949 ◽  
Vol 53 (2) ◽  
pp. 274-275
Author(s):  
George L. Sackett
Keyword(s):  
X Ray ◽  

2021 ◽  
Vol 74 (8) ◽  
pp. 1783-1788
Author(s):  
Khrystyna O. Pronyuk ◽  
Liudmyla O. Kondratiuk ◽  
Andrii D. Vysotskyi ◽  
Olga A. Golubovska ◽  
Iryna M. Nikitina

The aim: To optimize diagnostic of pathological processes in lungs affected by COVID-19, dynamic monitoring and clinical decision making using lung ultrasound in limited resources settings. Materials and methods: Between the onset of pandemics and January 2021, approximately 9000 patients have been treated for confirmed COVID-19 in the Olexandrivska Clinical Hospital. Assessment of all hospitalized patients included hematology, chemistries and proinflammatory cytokines – IL-6, CRP, procalcitonin, ferritin. Diagnosis was confirmed by PCR for SARS-CoV-2 RNA. Chest X-ray was performed in all hospitalized cases, while CT was available approximately in 30% of cases during hospital stay. Lung ultrasound was proactively utilized to assess the type and extent of lung damage and to monitor the progress of disease in patients hospitalized into the ICU and Infection Unit (n=135). Ultrasound findings were recorded numerically based on scales. Results: In the setting of СOVID-19, bedside lung ultrasound has been promptly recognized as a tool to diagnose and monitor the nature and extent of lung injury. Lung ultrasound is a real time assessment, which helps determine the nature of a pathologic process affecting lungs. In this paper the accuracy of bedside LUS, chest X-ray and computer tomography are compared based on clinical cases, typical for COVID-19 lung ultrasound appearance is evaluated. Described in article data is collected in one of the biggest facility that deals with COVID-19. Chest X-ray was performed in all hospitalized cases, while CT was available approximately in 30% of cases during hospital stay. The cases presented in the paper indicate potential advantages to the use of ultrasound in limited resource healthcare settings, especially when the risk of transportation to CT outweighs the value of information obtained. Conclusions: Grading of ultrasonographic findings in the lungs was sufficient for both initial assessment with identification of high risk patients, and routine daily monitoring. Hence, lung ultrsound may be used to predict deterioration, stratify risks and make clinical decisions.


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