Assessment of spontaneous breathing during pressure controlled ventilation with superimposed spontaneous breathing using respiratory flow signal analysis.
APRV
ARDS
BIPAP
Breath separation
Spontaneous breathing
Journal
Journal of clinical monitoring and computing
ISSN: 1573-2614
Titre abrégé: J Clin Monit Comput
Pays: Netherlands
ID NLM: 9806357
Informations de publication
Date de publication:
08 2021
08 2021
Historique:
received:
04
12
2019
accepted:
06
06
2020
pubmed:
15
6
2020
medline:
29
10
2021
entrez:
15
6
2020
Statut:
ppublish
Résumé
Integrating spontaneous breathing into mechanical ventilation (MV) can speed up liberation from it and reduce its invasiveness. On the other hand, inadequate and asynchronous spontaneous breathing has the potential to aggravate lung injury. During use of airway-pressure-release-ventilation (APRV), the assisted breaths are difficult to measure. We developed an algorithm to differentiate the breaths in a setting of lung injury in spontaneously breathing ewes. We hypothesized that differentiation of breaths into spontaneous, mechanical and assisted is feasible using a specially developed for this purpose algorithm. Ventilation parameters were recorded by software that integrated ventilator output variables. The flow signal, measured by the EVITA® XL (Lübeck, Germany), was measured every 2 ms by a custom Java-based computerized algorithm (Breath-Sep). By integrating the flow signal, tidal volume (V
Identifiants
pubmed: 32535849
doi: 10.1007/s10877-020-00545-4
pii: 10.1007/s10877-020-00545-4
pmc: PMC7293172
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
859-868Informations de copyright
© 2020. The Author(s).
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