The Global and Regional Lung Ultrasound Score Can Accurately Evaluate the Severity of Lung Disease in Critically Ill Patients

2020 ◽  
Vol 39 (9) ◽  
pp. 1879-1880 ◽  
Author(s):  
Tongjuan Zou ◽  
Wanhong Yin ◽  
Maxwell Diddams ◽  
Yan Kang ◽  
Keyword(s):  
Lung Disease ◽  
Critically Ill ◽  
Critically Ill Patients ◽  
Lung Ultrasound ◽  
Regional Lung ◽  
Ultrasound Score

scholarly journals Lung ultrasound and computed tomography to monitor COVID-19 pneumonia in critically ill patients: a two-center prospective cohort study

2021 ◽  
Vol 9 (1) ◽  
Author(s):  
Micah L. A. Heldeweg ◽  
Jorge E. Lopez Matta ◽  
Mark E. Haaksma ◽  
Jasper M. Smit ◽  
Carlos V. Elzo Kraemer ◽  
...  
Keyword(s):  
Critically Ill ◽  
Critically Ill Patients ◽  
Lung Ultrasound ◽  
Composite Endpoint ◽  
Pulmonary Involvement ◽  
Chest Ct ◽  
Secondary Outcome ◽  
Icu Stay ◽  
Academic Hospitals ◽  
Ultrasound Score

Abstract Background Lung ultrasound can adequately monitor disease severity in pneumonia and acute respiratory distress syndrome. We hypothesize lung ultrasound can adequately monitor COVID-19 pneumonia in critically ill patients. Methods Adult patients with COVID-19 pneumonia admitted to the intensive care unit of two academic hospitals who underwent a 12-zone lung ultrasound and a chest CT examination were included. Baseline characteristics, and outcomes including composite endpoint death or ICU stay > 30 days were recorded. Lung ultrasound and CT images were quantified as a lung ultrasound score involvement index (LUSI) and CT severity involvement index (CTSI). Primary outcome was the correlation, agreement, and concordance between LUSI and CTSI. Secondary outcome was the association of LUSI and CTSI with the composite endpoints. Results We included 55 ultrasound examinations in 34 patients, which were 88% were male, with a mean age of 63 years and mean P/F ratio of 151. The correlation between LUSI and CTSI was strong (r = 0.795), with an overall 15% bias, and limits of agreement ranging − 40 to 9.7. Concordance between changes in sequentially measured LUSI and CTSI was 81%. In the univariate model, high involvement on LUSI and CTSI were associated with a composite endpoint. In the multivariate model, LUSI was the only remaining independent predictor. Conclusions Lung ultrasound can be used as an alternative for chest CT in monitoring COVID-19 pneumonia in critically ill patients as it can quantify pulmonary involvement, register changes over the course of the disease, and predict death or ICU stay > 30 days. Trial registration: NTR, NL8584. Registered 01 May 2020—retrospectively registered, https://www.trialregister.nl/trial/8584

scholarly journals Training for Lung Ultrasound Score Measurement in Critically Ill Patients

2018 ◽  
Vol 198 (3) ◽  
pp. 398-401 ◽  
Author(s):  
Jean-Jacques Rouby ◽  
Charlotte Arbelot ◽  
Yuzhi Gao ◽  
Mao Zhang ◽  
Jie Lv ◽  
...  
Keyword(s):  
Critically Ill ◽  
Critically Ill Patients ◽  
Lung Ultrasound ◽  
Ultrasound Score

scholarly journals Lung ultrasound and computed tomography to monitor COVID-19 pneumonia in critically ill patients: a two-center prospective cohort study

2020 ◽  
Author(s):  
Micah Heldeweg ◽  
Jorge A. Lopez Matta ◽  
Mark E. Haaksma ◽  
Jasper M. Smit ◽  
Carlos V. Elzo Kraemer ◽  
...  
Keyword(s):  
Critically Ill ◽  
Critically Ill Patients ◽  
Lung Ultrasound ◽  
Composite Endpoint ◽  
Pulmonary Involvement ◽  
Chest Ct ◽  
Secondary Outcome ◽  
Icu Stay ◽  
Academic Hospitals ◽  
Ultrasound Score

Abstract Background: Lung ultrasound can adequately monitor disease severity in pneumonia and acute respiratory distress syndrome. We hypothesize lung ultrasound can adequately monitor COVID-19 pneumonia in critically ill patients. Methods: Adult patients with COVID-19 pneumonia admitted to the intensive care unit of two academic hospitals who underwent a 12-zone lung ultrasound and a chest CT examination were included. Baseline characteristics, and outcomes including composite endpoint death or ICU stay >30 days were recorded. Lung ultrasound and CT images were quantified as a Lung Ultrasound Score Involvement index (LUSI) and CT Severity Involvement index (CTSI). Primary outcome was the correlation, agreement, and concordance between LUSI and CTSI. Secondary outcome was the association of LUSI and CTSI with the composite endpoints.Results: We included 55 ultrasound examinations in 34 patients, which were 88% were male, with a mean age of 63 years and mean P/F ratio of 151. The correlation between LUSI and CTSI was strong (r=0.795), with an overall 15% bias, and limits of agreement ranging -40 to 9.7. Concordance between changes in sequentially measured LUSI and CTSI was 81%. In the univariate model, high involvement on LUSI and CTSI were associated with a composite endpoint. In the multivariate model, LUSI was the only remaining independent predictor.Conclusions: Lung ultrasound can be used as an alternative for chest CT in monitoring COVID-19 pneumonia in critically ill patients as it can quantify pulmonary involvement, register changes over the course of the disease, and predict death or ICU stay >30 days.Trial registration: NTR, NL8584. registered 01 May 2020 - retrospectively registered, https://www.trialregister.nl/trial/8584

Impact of lung ultrasound on clinical decision making in critically ill patients

2013 ◽  
Vol 40 (1) ◽  
pp. 57-65 ◽  
Author(s):  
Nektaria Xirouchaki ◽  
Eumorfia Kondili ◽  
George Prinianakis ◽  
Polychronis Malliotakis ◽  
Dimitrios Georgopoulos
Keyword(s):  
Decision Making ◽  
Critically Ill ◽  
Critically Ill Patients ◽  
Clinical Decision Making ◽  
Lung Ultrasound ◽  
Clinical Decision

The Use of Point-of-Care Bedside Lung Ultrasound Significantly Reduces the Number of Radiographs and Computed Tomography Scans in Critically Ill Patients

2010 ◽  
Vol 111 (3) ◽  
pp. 687-692 ◽  
Author(s):  
Adriano Peris ◽  
Lorenzo Tutino ◽  
Giovanni Zagli ◽  
Stefano Batacchi ◽  
Giovanni Cianchi ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Critically Ill ◽  
Critically Ill Patients ◽  
Lung Ultrasound ◽  
Point Of Care ◽  
Computed Tomography Scans
Sign in / Sign up

Export Citation Format

Share Document