Clinical performance of lung ultrasound in predicting time-dependent changes in lung aeration in ARDS patients

• Published in: Journal of clinical monitoring and computing 2023-04, Vol.37 (2), p.473-480
• Main Authors: Costamagna, Andrea, Steinberg, Irene, Pivetta, Emanuele, Arina, Pietro, Veglia, Simona, Brazzi, Luca, Fanelli, Vito
• Format: Article
• Language: English
• Subjects: Aeration; Anesthesiology; Categories; Change detection; Computed tomography; Critical Care Medicine; Health Sciences; Humans; Intensive; Lung - diagnostic imaging; Lungs; Medical diagnosis; Medicine; Medicine & Public Health; Original Research; Respiratory Distress Syndrome - diagnostic imaging; Statistics for Life Sciences; Time dependence; Ultrasonic imaging; Ultrasonography
• ISSN: 1387-1307; 1573-2614
• DOI: 10.1007/s10877-022-00902-5

To evaluate whether lung ultrasound is reliable bedside tool to monitor changes of lung aeration at the early and late stages of ARDS. LUS was performed in ARDS patients that underwent at least two consecutive CT scan at ICU admission and at least 1 week after admission. Twelve fields were evaluated and graded from 0 (normal) to 3 (consolidation). Changes of LUS score in twelve fields (ΔLUS tot ) and in four ventral (ΔLUS V ), intermediate (ΔLUS I ) and dorsal (ΔLUS D ) zones were calculated at each time points. Three categories were described: Improve (ΔLUS  0). LUS scores were correlated with total changes in lung CT aeration (ΔCT air ) and with normally, poorly and not aerated regions (ΔCT norm , ΔCT poor and ΔCT not , respectively). Eleven patients were enrolled. ΔLUS tot had significant correlation with ΔCT air (r = − 0.74, p