Lung ultrasound in the diagnosis and monitoring of 30 children with coronavirus disease 2019.

BACKGROUND: The coronavirus disease 2019 (COVID-19) has caused a new global pandemic and is responsible for millions of infections and thousands of deaths in the world. The lung ultrasound (LUS) is a noninvasive and easily repeatable tool and can be carried out by the pediatrician at the bedside of children with a consequent reduction in the risk of transmission of the virus. OBJECTIVE: We hypothesized that ultrasound findings in these patients would (1) be associated with their disease severity and (2) change over time in alignment with clinical outcome. METHODS: The study was made in the emergency department (ED) in a tertiary level pediatric hospital. All patients with swab-confirmed COVID-19 infection were subjected to a LUS within 6 h from admission and after 96 h. RESULTS: Among a total of 30 children, 18 (60%) were males, 4 reported exertional dyspnea, and only 1 chest pain. The mean oxygen saturation was 98.8 ± 1.0% in ambient air in the ED and no patient needed oxygen therapy during hospitalization. Children with moderate disease presented more B line (p = .03). After 96 h, we had observed ultrasound abnormality only in 20% of the children. We found a statistically significant reduction in pleural irregularities (30% vs. 16.7; p = .001) and in B lines (50% vs. 20%; p = .008). CONCLUSIONS: The LUS is a useful, feasible, and safe tool for the clinician to complement the clinical evaluation and to monitor the evolution of lung disease in children with COVID-19.

Quantitative Assessment of Parenchymal Involvement Using 3D Lung Model in Adolescent With Covid-19 Interstitial Pneumonia.

Background: Amount of parenchymal involvement in patients with interstitial pneumonia Covid-19 related, seems to be associated with a worse prognosis. Nowadays 3D reconstruction imaging is expanding its role in clinical medical practice. We aimed to use 3D lung reconstruction of a young lady affected by Sars-CoV2 infection and interstitial pneumonia, to better visualize, and quantitatively assess the parenchymal involvement. Methods: Volumetric Chest CT scan was performed in a 15 years old girl with interstitial lung pneumonia, Sars-CoV2 infection related. 3D modeling of the lungs, with differentiation of healthy and affected parenchymal area were obtained by using multiple software. Results: 3D reconstruction imaging allowed us to quantify the lung parenchyma involved, Self-explaining 3D images, useful for the understanding, and discussion of the clinical case were also obtained. Conclusions: Quantitative Assessment of Parenchymal Involvement Using 3D Lung Model in Covid-19 Infection is feasible and it provides information which could play a role in the management and risk stratification of these patients.