Comparative analysis of chest radiography and lung ultrasound to predict intra-hospital prognosis of patients admitted for acute SARS-CoV-2 pneumonia (COVID-19)

Rubio-Gracia, Jorge; Ibáñez-Muñoz, David; Giménez-López, Ignacio; Garcés-Horna, V.; López-Delgado, Daniel; Sierra-Monzón, José L; Crespo-Aznárez, Silvia; Peña-Fresneda, Natacha; Pérez-Calvo, Juan Ignacio; Sánchez‐Marteles, Marta

doi:10.1016/j.medcle.2022.01.024

Cited by 2 publications

(2 citation statements)

References 28 publications

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“…Our results are in line with other studies reporting association of LUS findings with clinical severity of Covid-19 infection including respiratory impairment and the level of inflammatory markers [32][33][34][35]. While previous data showed reliability of LUS in predicting the need of hospitalization or intensive care or intubation, our results indicate that LUS score on admission may be related to the intensity of further respiratory support, thus the predictive value of LUS may be even more precise than previously thought.…”

Section: Discussionsupporting

confidence: 92%

The value of lung ultrasound in COVID-19 pneumonia, verified by high resolution computed tomography assessed by artificial intelligence

et al. 2023

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Background Lung ultrasound (LUS) is an increasingly popular imaging method in clinical practice. It became particularly important during the COVID-19 pandemic due to its mobility and ease of use compared to high-resolution computed tomography (HRCT). The objective of this study was to assess the value of LUS in quantifying the degree of lung involvement and in discrimination of lesion types in the course of COVID-19 pneumonia as compared to HRCT analyzed by the artificial intelligence (AI). Methods This was a prospective observational study including adult patients hospitalized due to COVID-19 in whom initial HRCT and LUS were performed with an interval < 72 h. HRCT assessment was performed automatically by AI. We evaluated the correlations between the inflammation volume assessed both in LUS and HRCT, between LUS results and the HRCT structure of inflammation, and between LUS and the laboratory markers of inflammation. Additionally we compared the LUS results in subgroups depending on the respiratory failure throughout the hospitalization. Results Study group comprised 65 patients, median 63 years old. For both lungs, the median LUS score was 19 (IQR—interquartile range 11–24) and the median CT score was 22 (IQR 16–26). Strong correlations were found between LUS and CT scores (for both lungs r = 0.75), and between LUS score and percentage inflammation volume (PIV) (r = 0.69). The correlations remained significant, if weakened, for individual lung lobes. The correlations between LUS score and the value of the percentage consolidation volume (PCV) divided by percentage ground glass volume (PGV), were weak or not significant. We found significant correlation between LUS score and C-reactive protein (r = 0.55), and between LUS score and interleukin 6 (r = 0.39). LUS score was significantly higher in subgroups with more severe respiratory failure. Conclusions LUS can be regarded as an accurate method to evaluate the extent of COVID-19 pneumonia and as a promising tool to estimate its clinical severity. Evaluation of LUS in the assessment of the structure of inflammation, requires further studies in the course of the disease. Trial registration The study has been preregistered 13 Aug 2020 on clinicaltrials.gov with the number NCT04513210.

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Section: Discussionsupporting

confidence: 92%

The value of lung ultrasound in COVID-19 pneumonia, verified by high resolution computed tomography assessed by artificial intelligence

et al. 2023

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“…A good correlation between a chest CT scan and LUS score or hypoxemia severity has been observed in multiple studies [ 90 , 91 ]. Meanwhile, no significant correlation was observed between a quantitative assessment of lung damage by a lung ultrasound (lung ultrasound Zaragoza LUZ-score) and X-ray findings (Shalekamp score), and the ultrasound was found to be superior in assessing the outcome of COVID-19 patients during their hospital stay, especially if associated with a clinical prediction mode [ 92 , 93 ]. An evaluation of the LUS score in the ED could also assist physicians in the prognostic stratification [ 94 ].…”

Section: Lung Ultrasound In Common Clinical Scenariosmentioning

confidence: 99%

Lung Ultrasound in Critical Care and Emergency Medicine: Clinical Review

Rocca

Zanza

Longhitano

et al. 2023

Advances in Respiratory Medicine

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Lung ultrasound has become a part of the daily examination of physicians working in intensive, sub-intensive, and general medical wards. The easy access to hand-held ultrasound machines in wards where they were not available in the past facilitated the widespread use of ultrasound, both for clinical examination and as a guide to procedures; among point-of-care ultrasound techniques, the lung ultrasound saw the greatest spread in the last decade. The COVID-19 pandemic has given a boost to the use of ultrasound since it allows to obtain a wide range of clinical information with a bedside, not harmful, repeatable examination that is reliable. This led to the remarkable growth of publications on lung ultrasounds. The first part of this narrative review aims to discuss basic aspects of lung ultrasounds, from the machine setting, probe choice, and standard examination to signs and semiotics for qualitative and quantitative lung ultrasound interpretation. The second part focuses on how to use lung ultrasound to answer specific clinical questions in critical care units and in emergency departments.

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Comparative analysis of chest radiography and lung ultrasound to predict intra-hospital prognosis of patients admitted for acute SARS-CoV-2 pneumonia (COVID-19)

Cited by 2 publications

References 28 publications

The value of lung ultrasound in COVID-19 pneumonia, verified by high resolution computed tomography assessed by artificial intelligence

The value of lung ultrasound in COVID-19 pneumonia, verified by high resolution computed tomography assessed by artificial intelligence

Lung Ultrasound in Critical Care and Emergency Medicine: Clinical Review

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