Patient–ventilator synchrony under non-invasive ventilation is improved by an automated real time waveform analysis algorithm: a bench study

In this NIV bench model, IntelliSync + <sup>®</sup>, used in addition to NIV-PS, improved both expiratory and inspiratory synchrony. It was particularly efficient in the presence of obstructive and restrictive respiratory mechanics and high-pressure support levels. These pre-clinical results tend to support the ability of IntelliSync + <sup>®</sup> to improve patient-ventilator synchrony in the presence of leaks and provide pre-clinical data supporting a clinical evaluation of the automated algorithm during NIV.

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Publication Details

Journal
Intensive Care Medicine Experimental
Published
2025-02-12
DOI
https://doi.org/10.1186/s40635-025-00726-y
Citations
3
Primary Topic
Respiratory Support and Mechanisms
Type
article
Field-Weighted Citation Impact
4.56

Funders

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article

Patient–ventilator synchrony under non-invasive ventilation is improved by an automated real time waveform analysis algorithm: a bench study

Davy Cabrio, Y Renaud, Ermes Lupieri, Jean‐Daniel Chiche et al.
3 citations
Intensive Care Medicine Experimental
Respiratory Support and Mechanisms
4.56
article

Patient–ventilator synchrony under non-invasive ventilation is improved by an automated real time waveform analysis algorithm: a bench study

Davy Cabrio, Y Renaud, Ermes Lupieri, Jean‐Daniel Chiche, Lise Piquilloud, Jocelyne Auroi
article en
3 citations

Abstract

In this NIV bench model, IntelliSync + <sup>®</sup>, used in addition to NIV-PS, improved both expiratory and inspiratory synchrony. It was particularly efficient in the presence of obstructive and restrictive respiratory mechanics and high-pressure support levels. These pre-clinical results tend to support the ability of IntelliSync + <sup>®</sup> to improve patient-ventilator synchrony in the presence of leaks and provide pre-clinical data supporting a clinical evaluation of the automated algorithm during NIV.

Intensive Care Medicine ExperimentalVol. 13(1)
Solothurner Spitäler (CH), University of Lausanne (CH)
Université de Lausanne
Openalex Percentile: Top 7%
Respiratory Support and Mechanisms
4.56
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