• J Clin Monit Comput · Apr 2023

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

    • Andrea Costamagna, Irene Steinberg, Emanuele Pivetta, Pietro Arina, Simona Veglia, Luca Brazzi, and Vito Fanelli.
    • Department of Anaesthesia and Critical Care, AOU Città Della Salute E Della Scienza Di Torino, University of Turin, Corso Dogliotti 14, 10126, Turin, Italy.
    • J Clin Monit Comput. 2023 Apr 1; 37 (2): 473480473-480.

    AbstractTo 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 (ΔLUStot) and in four ventral (ΔLUSV), intermediate (ΔLUSI) and dorsal (ΔLUSD) zones were calculated at each time points. Three categories were described: Improve (ΔLUS < 0), Equal (ΔLUS = 0) or Worse (ΔLUS > 0). LUS scores were correlated with total changes in lung CT aeration (ΔCTair) and with normally, poorly and not aerated regions (ΔCTnorm, ΔCTpoor and ΔCTnot, respectively). Eleven patients were enrolled. ΔLUStot had significant correlation with ΔCTair (r = - 0.74, p < 0.01). ΔLUSV, ΔLUSI and ΔLUSD showed significant correlations with ΔCTair (r = - 0.66, r = - 0.69, r = - 0.63, respectively; p < 0.05). Compared to Equal, Improve and Worse categories had significantly higher (p < 0.01) and lower (p < 0.05) ΔCTair values, respectively. Compared to Equal, Improve and Worse categories had lower (p < 0.01) and higher (p < 0.01) ΔCTnot values, respectively. LUS score had a good correlation with lung CT in detecting changes of lung aeration.© 2022. The Author(s).

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