Focused lung ultrasound to predict respiratory failure in patients with symptoms of COVID-19. A multicentre prospective cohort study
Publikation: Konferencebidrag › Konferenceabstrakt til konference › Forskning › fagfællebedømt
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Focused lung ultrasound to predict respiratory failure in patients with symptoms of COVID-19. A multicentre prospective cohort study. / Arvig, Michael Dan.
2022. Abstract fra ERS International Congress 2022, Barcelona, Spanien.Publikation: Konferencebidrag › Konferenceabstrakt til konference › Forskning › fagfællebedømt
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T1 - Focused lung ultrasound to predict respiratory failure in patients with symptoms of COVID-19. A multicentre prospective cohort study
AU - Arvig, Michael Dan
PY - 2022
Y1 - 2022
N2 - Background: In patients with COVID-19, lung ultrasound can assess possible lung involvement. The examination is quick, performed at bedside and has a low risk of virus transmission. The aim of this study was evalute if lung ultrasound can predict the need for mechanical ventilation, admission to an intensive care unit, high-flow oxygen treatment, death of COVID-19.Methods: A multicenter prospective cohort trial was performed during the first wave of the COVID-19 pandemic in Denmark. Film clips from focused lung ultrasound examinations were recorded and rated by blinded observers using different scoring systems.Results: A total of 3,889 film clips of 398 patients were analyzed. Patients who died of COVID-19 after receiving intensive care treatment, mechanical ventilation or high-flow oxygen supplement had a significantly higher ultrasound score than those who survived or did not need these treatments. Multivariable logistic regression analyses showed that lung ultrasound predicts mechanical ventilation (RR 2.44, 95% CI 1.32 – 5.52), admission to intensive care (RR 2.55, 95% CI 1.41 – 54.59) and high-flow oxygen treatment (RR 1.95, 95% CI 1.5 – 2.53) when adjusting for sex, age and relevant comorbidity. There was no diagnostic difference between a scoring system using only anterolateral thorax zones and a scoring system that also included dorsal zones.Interpretation: Focused lung ultrasound in patients with clinical suspicion of COVID-19 predicts respiratory failure requiring mechanical ventilation, admission to intensive care units and high-flow oxygen. Thus, focused lung ultrasound may be used to risk stratify patients with COVID-19 symptom
AB - Background: In patients with COVID-19, lung ultrasound can assess possible lung involvement. The examination is quick, performed at bedside and has a low risk of virus transmission. The aim of this study was evalute if lung ultrasound can predict the need for mechanical ventilation, admission to an intensive care unit, high-flow oxygen treatment, death of COVID-19.Methods: A multicenter prospective cohort trial was performed during the first wave of the COVID-19 pandemic in Denmark. Film clips from focused lung ultrasound examinations were recorded and rated by blinded observers using different scoring systems.Results: A total of 3,889 film clips of 398 patients were analyzed. Patients who died of COVID-19 after receiving intensive care treatment, mechanical ventilation or high-flow oxygen supplement had a significantly higher ultrasound score than those who survived or did not need these treatments. Multivariable logistic regression analyses showed that lung ultrasound predicts mechanical ventilation (RR 2.44, 95% CI 1.32 – 5.52), admission to intensive care (RR 2.55, 95% CI 1.41 – 54.59) and high-flow oxygen treatment (RR 1.95, 95% CI 1.5 – 2.53) when adjusting for sex, age and relevant comorbidity. There was no diagnostic difference between a scoring system using only anterolateral thorax zones and a scoring system that also included dorsal zones.Interpretation: Focused lung ultrasound in patients with clinical suspicion of COVID-19 predicts respiratory failure requiring mechanical ventilation, admission to intensive care units and high-flow oxygen. Thus, focused lung ultrasound may be used to risk stratify patients with COVID-19 symptom
M3 - Conference abstract for conference
T2 - ERS International Congress 2022
Y2 - 4 September 2022 through 6 September 2022
ER -
ID: 331720905