TY - JOUR
T1 - Focused lung ultrasound to predict respiratory failure in patients with symptoms of COVID-19
T2 - a multicentre prospective cohort study
AU - Skaarup, Søren Helbo
AU - Aagaard, Rasmus
AU - Ovesen, Stig Holm
AU - Weile, Jesper
AU - Kirkegaard, Hans
AU - Espersen, Caroline
AU - Lassen, Mats Christian Højbjerg
AU - Skaarup, Kristoffer Grundtvig
AU - Posth, Stefan
AU - Laursen, Christian B
AU - Bock, Ask
AU - Dan Arvig, Michael
AU - Biering-Sørensen, Tor
N1 - Copyright ©The authors 2022.
PY - 2022/10
Y1 - 2022/10
N2 - Background: In this study we aimed to assess if a focused lung ultrasound examination predicts the need for mechanical ventilation, admission to an intensive care unit, high-flow oxygen treatment, death from COVID-19 within 30 days and 30-day all-cause mortality in patients with clinical suspicion of COVID-19 or PCR-verified SARS-CoV-2 infection.Methods: A multicentre prospective cohort trial was performed. Film clips from focused lung ultrasound examinations were recorded and rated by blinded observers using different scoring systems. A prediction model was built and used to test relationship between lung ultrasound scores and clinical outcomes. Diagnostic performance of scoring systems was analysed.Results: A total of 3889 film clips of 398 patients were analysed. Patients who had any of the outcomes of interest had a significantly higher ultrasound score than those who did not. Multivariable logistic regression analyses showed that lung ultrasound predicts mechanical ventilation (relative risk 2.44, 95% CI 1.32-5.52), admission to intensive care (relative risk 2.55, 95% CI 1.41-54.59) and high-flow oxygen treatment (relative risk 1.95, 95% CI 1.5-2.53) but not survival when adjusting for sex, age and relevant comorbidity. There was no diagnostic difference in area under the receiver operating characteristic curve between a scoring system using only anterolateral thorax zones and a scoring system that also included dorsal zones.Conclusion: Focused lung ultrasound in patients with clinical suspicion of COVID-19 predicts respiratory failure requiring mechanical ventilation, admission to intensive care units and the need for high-flow oxygen treatment. Thus, focused lung ultrasound may be used to risk stratify patients with COVID-19 symptoms.
AB - Background: In this study we aimed to assess if a focused lung ultrasound examination predicts the need for mechanical ventilation, admission to an intensive care unit, high-flow oxygen treatment, death from COVID-19 within 30 days and 30-day all-cause mortality in patients with clinical suspicion of COVID-19 or PCR-verified SARS-CoV-2 infection.Methods: A multicentre prospective cohort trial was performed. Film clips from focused lung ultrasound examinations were recorded and rated by blinded observers using different scoring systems. A prediction model was built and used to test relationship between lung ultrasound scores and clinical outcomes. Diagnostic performance of scoring systems was analysed.Results: A total of 3889 film clips of 398 patients were analysed. Patients who had any of the outcomes of interest had a significantly higher ultrasound score than those who did not. Multivariable logistic regression analyses showed that lung ultrasound predicts mechanical ventilation (relative risk 2.44, 95% CI 1.32-5.52), admission to intensive care (relative risk 2.55, 95% CI 1.41-54.59) and high-flow oxygen treatment (relative risk 1.95, 95% CI 1.5-2.53) but not survival when adjusting for sex, age and relevant comorbidity. There was no diagnostic difference in area under the receiver operating characteristic curve between a scoring system using only anterolateral thorax zones and a scoring system that also included dorsal zones.Conclusion: Focused lung ultrasound in patients with clinical suspicion of COVID-19 predicts respiratory failure requiring mechanical ventilation, admission to intensive care units and the need for high-flow oxygen treatment. Thus, focused lung ultrasound may be used to risk stratify patients with COVID-19 symptoms.
U2 - 10.1183/23120541.00128-2022
DO - 10.1183/23120541.00128-2022
M3 - Article
C2 - 36284826
SN - 2312-0541
VL - 8
JO - ERJ Open Research
JF - ERJ Open Research
IS - 4
ER -