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International guidelines do not recommend a specific probe for assessment of lung aeration using lung ultrasound (LUS). The aim of this study was to assess the concordance between linear and sector array probes of a handheld ultrasound device in assessment of lung aeration in invasively ventilated intensive care unit patients. This study included intensive care unit patients who were expected to be ventilated for longer than 24 h. A 12-region LUS exam was performed with a linear and a sector array probe. In each image, the LUS aeration score and number of B-lines were determined. Adding the LUS aeration scores of all regions resulted in a global LUS aeration score. Agreement between the two probes was calculated using intra-class correlation coefficients (ICCs). A total of 30 LUS exams were performed in 19 patients, resulting in a total of 328 pairs of images. Twenty-nine pairs of images were excluded from analysis because the images from the linear probe could not be scored. ICCs calculated for the remaining images revealed good concordance the LUS aeration scores for individual images (ICC = 0.73, 95% confidence interval 0.67-0.78), number of B-lines (ICC = 0.79, 95% confidence interval 0.72-0.83) and global LUS aeration score (ICC = 0.74, 95% confidence interval 0.52-0.87). In conclusion, there is good concordance between linear and sector array probes of a handheld ultrasound device in assessment of lung aeration patterns in mechanically ventilated intensive care unit patients. However, in roughly 10% of the images acquired using the linear probe, the aeration pattern could not be scored.

Original publication

DOI

10.1016/j.ultrasmedbio.2020.08.016

Type

Journal

Ultrasound in medicine & biology

Publication Date

12/2020

Volume

46

Pages

3249 - 3256

Addresses

Department of Intensive Care, Amsterdam UMC, Location AMC, University of Amsterdam, Amsterdam, the Netherlands. Electronic address: m.r.smit@amsterdamumc.nl.

Keywords

DARTS Consortium, Lung, Humans, Ultrasonography, Respiration, Artificial, Prospective Studies, Equipment Design, Aged, Aged, 80 and over, Middle Aged, Intensive Care Units, Female, Male