4.4 Article

Lung ultrasound predicts non-invasive ventilation outcome in COVID-19 acute respiratory failure: a pilot study

Journal

MINERVA ANESTESIOLOGICA
Volume 87, Issue 9, Pages 1006-1016

Publisher

EDIZIONI MINERVA MEDICA
DOI: 10.23736/S0375-9393.21.15188-0

Keywords

Ultrasonography; Lung; Artificial respiration; Prognosis; COVID-19; SARS-CoV-2

Funding

  1. Estor
  2. General Electric Healthcare
  3. ESICM
  4. SIAARTI

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Assessing lung aeration with lung ultrasound can help predict treatment outcomes, the need for mechanical ventilation and admission to the intensive care unit in patients with COVID-19 respiratory failure.
BACKGROUND: The aim of this study is to determine relationships between lung aeration assessed by lung ultrasound (WS) with non-invasive ventilation (NIMV) outcome, intensive care unit (ICU) admission and mechanical ventilation (MV) needs in COVID-19 respiratory failure. METHODS: A cohort of adult patients with COVID-19 respiratory failure underwent LUS during initial assessment. A simplified LUS protocol consisting in scanning six areas, three for each side. was adopted. A score from 0 to 3 was assigned to each area. Comprehensive LUS score (LUSsc) was calculated as the sum of the score in all areas. LUSsc, the amount of involved sonographic lung areas (LUSq), the number of lung quadrants radiographically infiltrated and the degree of oxygenation impairment at admission (SpO(2)/FiO(2) ratio) were compared to NIMV Outcome, MV needs and ICU admission. RESULTS: Among 85 patients prospectively included in the analysis, 49 of 61 needed MV. LUSsc and LUSq were higher in patients who required MV (median 12 [IQR 8-14] and median 6 [IQR 4-6], respectively) than in those who did not (6 [IQR 2-9] and 3 [IQR 1-5], respectively), both P<0.001. NIMV trial failed in 26 patients out 36. LUSsc and LUSq were significantly higher in patients who failed NIMV than in those who did not. From ROC analysis, LUSsc >= 12 and LUSq >= 5 gave the best cut-off values for NIMV failure prediction (AUC=0.95, 95% CI 0.83-0.99 and AUC=0.81, 95% CI 0.65-0.91, respectively). CONCLUSIONS: Our data suggest LUS as a possible tool for identifying patients who are likely to require MV and ICU admission or to fail a NIMV trial.

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