Abstract

Background

Predicting complete liberation from mechanical ventilation (MV) is still challenging. Electrical impedance tomography (EIT) offers a non-invasive measure of regional ventilation distribution and could bring additional information.

Research question.

Whether the display of regional ventilation distribution during a Spontaneous Breathing Trial (SBT) could help at predicting early and successful liberation from MV.

Study design and methods

Patients were monitored with EIT during the SBT. The tidal image was divided into ventral and dorsal regions and displayed simultaneously. We explored the ventral-to-dorsal ventilation difference in percentage, and its association with clinical outcomes. Liberation success was defined pragmatically as passing SBT followed by extubation within 24 h without reintubation for 7 days. Failure included use of rescue therapy, reintubation within 7 days, tracheostomy, and not being extubated within 24 h after succesful SBT. A training cohort was used for discovery, followed by a validation cohort.

Results

Among a total of 98 patients analyzed, 85 passed SBT (87%), but rapid liberation success occurred only in 40; 13.5% of extubated patients required reintubation. From the first minutes to the entire SBT duration, the absolute ventral-to-dorsal difference was consistently smaller in liberation success compared to all subgroups of failure (p < 0.0001). An absolute difference at 5 min of SBT > 20% was associated with failure of liberation, with sensitivity and specificity of 71% and 78% and positive predictive value 81% in a validation cohort.

Conclusion

During SBT, a large ventral-to-dorsal difference in ventilation indicated by EIT may help to rapidly identify patients at risk of liberation failure.

Details

Title
Ventilation distribution during spontaneous breathing trials predicts liberation from mechanical ventilation: the VISION study
Author
Phoophiboon, Vorakamol; Rodrigues, Antenor; Vieira, Fernando; Ko, Matthew; Madotto, Fabiana; Schreiber, Annia; Sun, Nannan; Sousa, Mayson L A; Docci, Mattia; Brault, Clement; Menga, Luca S; Telias, Irene; Piraino, Thomas; Goligher, Ewan C; Brochard, Laurent
Pages
1-12
Section
Research
Publication year
2025
Publication date
2025
Publisher
BioMed Central
ISSN
13648535
e-ISSN
1366609X
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
3201587251
Copyright
© 2025. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.