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Details

Autor(en) / Beteiligte
Titel
Dyspnea and respiratory muscles ultrasound to predict extubation failure
Ist Teil von
  • The European respiratory journal, 2021-04
Ort / Verlag
England: European Respiratory Society
Erscheinungsjahr
2021
Quelle
EZB Electronic Journals Library
Beschreibungen/Notizen
  • This study investigated dyspnea intensity and respiratory muscles ultrasound early after extubation to predict extubation failure.It was conducted prospectively in two intensive care units in France and Canada. Patients intubated for at least 48 h were studied within 2 h after an extubation following a successful spontaneous breathing trial. Dyspnea was evaluated by the Dyspnea-Visual Analog Scale from 0 to 10 cm (VAS) and the Intensive Care - Respiratory Distress Observational Scale (range 0-10). The ultrasound thickening fraction of the parasternal intercostal and the diaphragm were measured; limb muscle strength was evaluated using the Medical Research Council score (MRC) (range 0-60).Extubation failure occurred in 21 of the 122 enrolled patients (17%). Dyspnea-VAS and Intensive Care - Respiratory Distress Observational scale were higher in patients with extubation failure success: 7 (5-9) cm 3 (1-5) cm respectively (p<0.001) and 4.4 (2.5-6.5) 2.4 (2.1-2.8) respectively (p<0.001). The ratio of intercostal muscle to diaphragm thickening fraction was significantly higher and MRC was lower in patients with failure (0.9 [0.4-3.0] 0.3 [0.2-0.5], p<0.001, and 45 [36-50] 52 [44-60], p=0.012). The thickening fraction of the intercostal and its ratio to diaphragm thickening showed the highest area under the receiver operating characteristic curves for an early prediction of extubation failure (0.81). Areas under the receiver operating characteristic curves of Dyspnea-VAS and Intensive Care - Respiratory Distress Observational scale reached 0.78 and 0.74 respectively.Respiratory muscle ultrasound and dyspnea measured within 2 h after extubation predict subsequent extubation failure.
Sprache
Englisch
Identifikatoren
ISSN: 0903-1936
eISSN: 1399-3003
DOI: 10.1183/13993003.00002-2021
Titel-ID: cdi_hal_primary_oai_HAL_hal_03206377v1
Format
Schlagworte
Life Sciences

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