OBJECTIVE: Postextubation distress after a successful spontaneous breathing trial is associated with increased morbidity and mortality. Predicting postextubation distress is therefore a major issue in critically ill patients. To assess whether lung derecruitment during spontaneous breathing trial assessed by lung ultrasound is predictive of postextubation distress. DESIGN AND SETTING: Prospective study in two multidisciplinary intensive care units within University Hospital. PATIENTS AND METHODS: One hundred patients were included in the study. Lung ultrasound, echocardiography, and plasma B-type natriuretic peptide levels were determined before and at the end of a 60-min spontaneous breathing trial and 4 hrs after extubation. To quantify lung aeration, a lung ultrasound score was calculated. Patients were followed up to hospital discharge. MEASUREMENTS AND MAIN RESULTS: Fourteen patients failed the spontaneous breathing trial, 86 were extubated, 57 were definitively weaned (group 1), and 29 suffered from postextubation distress (group 2). Loss of lung aeration during the successful spontaneous breathing trial was observed only in group 2 patients: lung ultrasound scores increased from 15 [13;17] to 19 [16; 21] (p < .01). End-spontaneous breathing trial lung ultrasound scores were significantly higher in group 2 than in group 1 patients: 19 [16;21] vs. 10 [7;13], respectively (p < .001) and predicted postextubation distress with an area under the receiver operating characteristic curve of 0.86. Although significantly higher in group 2, B-type natriuretic peptide and echocardiography cardiac filling pressures were not clinically helpful in predicting postextubation distress. CONCLUSION: Lung ultrasound determination of aeration changes during a successful spontaneous breathing trial may accurately predict postextubation distress.
OBJECTIVE: Postextubation distress after a successful spontaneous breathing trial is associated with increased morbidity and mortality. Predicting postextubation distress is therefore a major issue in critically illpatients. To assess whether lung derecruitment during spontaneous breathing trial assessed by lung ultrasound is predictive of postextubation distress. DESIGN AND SETTING: Prospective study in two multidisciplinary intensive care units within University Hospital. PATIENTS AND METHODS: One hundred patients were included in the study. Lung ultrasound, echocardiography, and plasma B-type natriuretic peptide levels were determined before and at the end of a 60-min spontaneous breathing trial and 4 hrs after extubation. To quantify lung aeration, a lung ultrasound score was calculated. Patients were followed up to hospital discharge. MEASUREMENTS AND MAIN RESULTS: Fourteen patients failed the spontaneous breathing trial, 86 were extubated, 57 were definitively weaned (group 1), and 29 suffered from postextubation distress (group 2). Loss of lung aeration during the successful spontaneous breathing trial was observed only in group 2 patients: lung ultrasound scores increased from 15 [13;17] to 19 [16; 21] (p < .01). End-spontaneous breathing trial lung ultrasound scores were significantly higher in group 2 than in group 1 patients: 19 [16;21] vs. 10 [7;13], respectively (p < .001) and predicted postextubation distress with an area under the receiver operating characteristic curve of 0.86. Although significantly higher in group 2, B-type natriuretic peptide and echocardiography cardiac filling pressures were not clinically helpful in predicting postextubation distress. CONCLUSION: Lung ultrasound determination of aeration changes during a successful spontaneous breathing trial may accurately predict postextubation distress.
Authors: P H Mayo; R Copetti; D Feller-Kopman; G Mathis; E Maury; S Mongodi; F Mojoli; G Volpicelli; M Zanobetti Journal: Intensive Care Med Date: 2019-08-15 Impact factor: 17.440
Authors: Alexis Ferré; Max Guillot; Daniel Lichtenstein; Gilbert Mezière; Christian Richard; Jean-Louis Teboul; Xavier Monnet Journal: Intensive Care Med Date: 2019-03-12 Impact factor: 17.440
Authors: P Mayo; R Arntfield; M Balik; P Kory; G Mathis; G Schmidt; M Slama; G Volpicelli; N Xirouchaki; A McLean; A Vieillard-Baron Journal: Intensive Care Med Date: 2017-03-07 Impact factor: 17.440
Authors: Jean-Jacques Rouby; Charlotte Arbelot; Yuzhi Gao; Mao Zhang; Jie Lv; Youzhong An; Wang Chunyao; Du Bin; Carmen Silvia Valente Barbas; Felippe Leopoldo Dexheimer Neto; Fabiola Prior Caltabeloti; Emidio Lima; Andres Cebey; Sébastien Perbet; Jean-Michel Constantin Journal: Am J Respir Crit Care Med Date: 2018-08-01 Impact factor: 21.405
Authors: Belaid Bouhemad; Francesco Mojoli; Nicolas Nowobilski; Arif Hussain; Isabelle Rouquette; Pierre- Grégoire Guinot; Silvia Mongodi Journal: Intensive Care Med Date: 2020-01-08 Impact factor: 17.440