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Lung Ultrasound Findings Are Associated with Mortality and Need for Intensive Care Admission in COVID-19 Patients Evaluated in the Emergency Department

Lung ultrasound (LUS) has recently been advocated as an accurate tool to diagnose coronavirus disease 2019 (COVID-19) pneumonia. However, reports on its use are based mainly on hypothesis studies, case reports or small retrospective case series, while the prognostic role of LUS in COVID-19 patients...

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Detalles Bibliográficos
Autores principales: Bonadia, Nicola, Carnicelli, Annamaria, Piano, Alfonso, Buonsenso, Danilo, Gilardi, Emanuele, Kadhim, Cristina, Torelli, Enrico, Petrucci, Martina, Di Maurizio, Luca, Biasucci, Daniele Guerino, Fuorlo, Mariella, Forte, Evelina, Zaccaria, Raffaella, Franceschi, Francesco
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Pergamon Press 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7362856/
https://www.ncbi.nlm.nih.gov/pubmed/32798003
http://dx.doi.org/10.1016/j.ultrasmedbio.2020.07.005
Descripción
Sumario:Lung ultrasound (LUS) has recently been advocated as an accurate tool to diagnose coronavirus disease 2019 (COVID-19) pneumonia. However, reports on its use are based mainly on hypothesis studies, case reports or small retrospective case series, while the prognostic role of LUS in COVID-19 patients has not yet been established. We conducted a prospective study aimed at assessing the ability of LUS to predict mortality and intensive care unit admission of COVID-19 patients evaluated in a tertiary level emergency department. Patients in our sample had a median of 6 lung areas with pathologic findings (inter-quartile range [IQR]: 6, range: 0–14), defined as a score different from 0. The median rate of lung areas involved was 71% (IQR: 64%, range: 0–100), while the median average score was 1.14 (IQR: 0.93, range: 0–3). A higher rate of pathologic lung areas and a higher average score were significantly associated with death, with an estimated difference of 40.5% (95% confidence interval [CI]: 4%–68%, p = 0.01) and of 0.47 (95% CI: 0.06–0.93, p = 0.02), respectively. Similarly, the same parameters were associated with a significantly higher risk of intensive care unit admission with estimated differences of 29% (95% CI: 8%–50%, p = 0.008) and 0.47 (95% CI: 0.05–0.93, p = 0.02), respectively. Our study indicates that LUS is able to detect COVID-19 pneumonia and to predict, during the first evaluation in the emergency department, patients at risk for intensive care unit admission and death.