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Clinical performance of lung ultrasound in predicting ARDS morphology.
Costamagna, Andrea; Pivetta, Emanuele; Goffi, Alberto; Steinberg, Irene; Arina, Pietro; Mazzeo, Anna Teresa; Del Sorbo, Lorenzo; Veglia, Simona; Davini, Ottavio; Brazzi, Luca; Ranieri, V Marco; Fanelli, Vito.
Afiliação
  • Costamagna A; Department of Anaesthesia and Critical Care, AOU Città della Salute e della Scienza di Torino, University of Turin, Corso Dogliotti 14, 10126, Turin, Italy.
  • Pivetta E; Department of General and Specialized Medicine, Division of Emergency Medicine and High Dependency Unit, Cancer Epidemiology Unit - AOU Città Della Salute e Della Scienza di Torino, Turin, Italy.
  • Goffi A; Interdepartmental Division of Critical Care Medicine and Department of Medicine, University of Toronto, Toronto, ON, Canada.
  • Steinberg I; Department of Medicine, Division of Critical Care Medicine, St. Michael's Hospital, Toronto, ON, Canada.
  • Arina P; Department of Surgical Sciences, University of Turin, Turin, Italy.
  • Mazzeo AT; Department of Surgical Sciences, University of Turin, Turin, Italy.
  • Del Sorbo L; Department of Surgical Sciences, University of Turin, Turin, Italy.
  • Veglia S; Dipartimento di Patologia Umana Dell'adulto e Dell'età Evolutiva, Anestesia e Rianimazione, Univesity of Messina, Messina, Italy.
  • Davini O; Interdepartmental Division of Critical Care Medicine and Department of Medicine, University of Toronto, Toronto, ON, Canada.
  • Brazzi L; Department of Medicine, Division of Respirology (Critical Care), University Health Network, Toronto, ON, Canada.
  • Ranieri VM; Department of Diagnostic Imaging and Radiotherapy, AOU Città della Salute e della Scienza di Torino-University of Turin, Turin, Italy.
  • Fanelli V; Department of Diagnostic Imaging and Radiotherapy, AOU Città della Salute e della Scienza di Torino-University of Turin, Turin, Italy.
Ann Intensive Care ; 11(1): 51, 2021 Mar 29.
Article em En | MEDLINE | ID: mdl-33779834
ABSTRACT

BACKGROUND:

To assess diagnostic performance of lung ultrasound (LUS) in identifying ARDS morphology (focal vs non-focal), compared with the gold standard computed tomography.

METHODS:

Mechanically ventilated ARDS patients undergoing lung computed tomography and ultrasound were enrolled. Twelve fields, were evaluated. LUS score was graded from 0 (normal) to 3 (consolidation) according to B-lines extent. Total and regional LUS score as the sum of the four ventral (LUSV), intermediate (LUSI) or dorsal (LUSD) fields, were calculated. Based on lung CT, ARDS morphology was defined as (1) focal (loss of aeration with lobar distribution); (2) non-focal (widespread loss of aeration or segmental loss of aeration distribution associated with uneven lung attenuation areas), and diagnostic accuracy of LUS in discriminating ARDS morphology was determined by AU-ROC in training and validation set of patients.

RESULTS:

Forty-seven patients with ARDS (25 training set and 22 validation set) were enrolled. LUSTOT, LUSV and LUSI but not LUSD score were significantly lower in focal than in non-focal ARDS morphologies (p < .01). The AU-ROC curve of LUSTOT, LUSV, LUSI and LUSD for identification of non-focal ARDS morphology were 0.890, 0.958, 0.884 and 0.421, respectively. LUSV value ≥ 3 had the best predictive value (sensitivity = 0.95, specificity = 1.00) in identifying non-focal ARDS morphology. In the validation set, an LUSV score ≥ 3 confirmed to be highly predictive of non-focal ARDS morphology, with a sensitivity and a specificity of 94% and 100%.

CONCLUSIONS:

LUS had a valuable performance in distinguishing ARDS morphology.
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Ann Intensive Care Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Itália

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Ann Intensive Care Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Itália