About: Assessment of spontaneous breathing during pressure controlled ventilation with superimposed spontaneous breathing using respiratory flow signal analysis

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About: Assessment of spontaneous breathing during pressure controlled ventilation with superimposed spontaneous breathing using respiratory flow signal analysis Goto Sponge NotDistinct Permalink

An Entity of Type : schema:ScholarlyArticle, within Data Space : wasabi.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Assessment of spontaneous breathing during pressure controlled ventilation with superimposed spontaneous breathing using respiratory flow signal analysis
Creator	Chung, Kevin Cancio, Leopoldo Baker, William Andriy, · Batchinsky, I Belenkiy, Slava De, -Bonn Kreyer, Stefan Kreyer@uni, Stefan Linden, Katharina Muders, · Necsoiu, Corina Putensen, · Scaravilli, Vittorio
topic	covid:d0212b73d578c0840e5b020f96932cd8b0c1e42a#this
Source	PMC
abstract	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(T)) of each breath was calculated. By using the flow curve the algorithm separated the different breaths and numbered them for each time point. Breaths were separated into mechanical, assisted and spontaneous. Bland Altman analysis was used to compare parameters. Comparing the values calculated by Breath-Sep with the data from the EVITA® using Bland–Altman analyses showed a mean bias of − 2.85% and 95% limits of agreement from − 25.76 to 20.06% for MV(total). For respiratory rate (RR) RR(set) a bias of 0.84% with a SD of 1.21% and 95% limits of agreement from − 1.53 to 3.21% were found. In the cluster analysis of the 25th highest breaths of each group RR(total) was higher using the EVITA®. In the mechanical subgroup the values for RR(spont) and MV(spont) the EVITA® showed higher values compared to Breath-Sep. We developed a computerized method for respiratory flow-curve based differentiation of breathing cycle components during mechanical ventilation with superimposed spontaneous breathing. Further studies in humans and optimizing of this technique is necessary to allow for real-time use at the bedside. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s10877-020-00545-4) contains supplementary material, which is available to authorized users.
has issue date	2020-06-13(xsd:dateTime)
bibo:doi	10.1007/s10877-020-00545-4
has license	cc-by
sha1sum (hex)	d0212b73d578c0840e5b020f96932cd8b0c1e42a
schema:url	https://doi.org/10.1007/s10877-020-00545-4
resource representing a document's title	Assessment of spontaneous breathing during pressure controlled ventilation with superimposed spontaneous breathing using respiratory flow signal analysis
has PubMed Central identifier	PMC7293172
schema:publication	J Clin Monit Comput
resource representing a document's body	covid:d0212b73d578c0840e5b020f96932cd8b0c1e42a#body_text
is http://vocab.deri.ie/void#inDataset of	proxy:http/ns.inria.fr/covid19/d0212b73d578c0840e5b020f96932cd8b0c1e42a
is schema:about of	named entity 'Further' named entity 'variables' named entity 'differentiation' named entity 'EVITA' named entity 'flow' named entity 'spontaneous' named entity 'analyses' named entity 'VENTILATION' named entity 'TO COMPARE' named entity 'DIFFERENTIATE' named entity 'LUNG INJURY' named entity 'MECHANICAL' named entity 'lung injury' named entity 'measure' named entity 'bias' named entity 'recorded' named entity 'time point' named entity 'Lübeck' named entity 'measured' named entity 'hypothesized' named entity 'set' named entity 'During' named entity 'mechanical ventilation' named entity 'speed' named entity 'controlled' named entity 'ventilator' named entity 'Lübeck' named entity 'algorithm' named entity 'respiratory rate' named entity 'algorithm' named entity 'tidal volume' named entity 'extracorporeal carbon dioxide removal' named entity 'acute respiratory distress syndrome' named entity 'ARDS' named entity 'mmHg' named entity 'SAS Institute Inc.' named entity 'metabolic' named entity 'sedation' named entity 'airway' named entity 'smoke inhalation injury' named entity 'cluster analysis' named entity 'burn injury' named entity 'ARDS' named entity 'Pittsburgh' named entity 'fentanyl' named entity 'paralytics' named entity 'Biphasic Positive Airway Pressure' named entity 'APRV' named entity 'normal distributed' named entity 'tidal volume' named entity 'Animal Welfare' named entity 'non-pregnant' named entity 'animal model' named entity 'simple time' named entity 'ARDS' named entity 'muscle paralysis' named entity 'mechanical ventilation' named entity 'Respiratory rate' named entity 'normal distribution' named entity 'pneumotachograph' named entity 'lung injury' named entity 'animal model' named entity 'Euthanasia' named entity 'Institutional Animal Care and Use Committee' named entity 'ICU' named entity 'vasopressors' named entity 'regurgitation' named entity 'Animal Welfare Act'

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