Framework for patient-ventilator asynchrony during long-term non-invasive ventilation

Jesus Gonzalez-Bermejo; Jean Paul Janssens; Claudio Rabec; Christophe Perrin; Frédéric Lofaso; Bruno Langevin; Annalisa Carlucci; Manel Lujan

doi:10.1136/thoraxjnl-2018-213022

Framework for patient-ventilator asynchrony during long-term non-invasive ventilation

Jesus Gonzalez-Bermejo, Jean Paul Janssens, Claudio Rabec, Christophe Perrin, Frédéric Lofaso, Bruno Langevin, Annalisa Carlucci, Manel Lujan

Research output: Contribution to journal › Article › Research

7 Citations (Scopus)

Abstract

© Author(s) (or their employer(s)) 2019. No commercial re-use. See rights and permissions. Published by BMJ. Episodes of patient-ventilator asynchrony (PVA) occur during acute and chronic non-invasive positive pressure ventilation (NIV). In long-term NIV, description and quantification of PVA is not standardised, thus limiting assessment of its clinical impact. The present report provides a framework for a systematic analysis of polygraphic recordings of patients under NIV for the detection and classification of PVA validated by bench testing. The algorithm described uses two different time windows: rate asynchrony and intracycle asynchrony. This approach should facilitate further studies on prevalence and clinical impact of PVA in long-term NIV.

Original language	English
Pages (from-to)	715-717
Journal	Thorax
Volume	74
DOIs	https://doi.org/10.1136/thoraxjnl-2018-213022
Publication status	Published - 1 Jul 2019

Keywords

asynchrony
central sleep apnea
home ventilators
monitoring
non-invasive ventilation
obstructive sleep apnoea
polysomnography
sleep-disordered breathing

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title = "Framework for patient-ventilator asynchrony during long-term non-invasive ventilation",

abstract = "{\textcopyright} Author(s) (or their employer(s)) 2019. No commercial re-use. See rights and permissions. Published by BMJ. Episodes of patient-ventilator asynchrony (PVA) occur during acute and chronic non-invasive positive pressure ventilation (NIV). In long-term NIV, description and quantification of PVA is not standardised, thus limiting assessment of its clinical impact. The present report provides a framework for a systematic analysis of polygraphic recordings of patients under NIV for the detection and classification of PVA validated by bench testing. The algorithm described uses two different time windows: rate asynchrony and intracycle asynchrony. This approach should facilitate further studies on prevalence and clinical impact of PVA in long-term NIV.",

keywords = "asynchrony, central sleep apnea, home ventilators, monitoring, non-invasive ventilation, obstructive sleep apnoea, polysomnography, sleep-disordered breathing",

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T1 - Framework for patient-ventilator asynchrony during long-term non-invasive ventilation

AU - Gonzalez-Bermejo, Jesus

AU - Janssens, Jean Paul

AU - Rabec, Claudio

AU - Perrin, Christophe

AU - Lofaso, Frédéric

AU - Langevin, Bruno

AU - Carlucci, Annalisa

AU - Lujan, Manel

PY - 2019/7/1

Y1 - 2019/7/1

N2 - © Author(s) (or their employer(s)) 2019. No commercial re-use. See rights and permissions. Published by BMJ. Episodes of patient-ventilator asynchrony (PVA) occur during acute and chronic non-invasive positive pressure ventilation (NIV). In long-term NIV, description and quantification of PVA is not standardised, thus limiting assessment of its clinical impact. The present report provides a framework for a systematic analysis of polygraphic recordings of patients under NIV for the detection and classification of PVA validated by bench testing. The algorithm described uses two different time windows: rate asynchrony and intracycle asynchrony. This approach should facilitate further studies on prevalence and clinical impact of PVA in long-term NIV.

AB - © Author(s) (or their employer(s)) 2019. No commercial re-use. See rights and permissions. Published by BMJ. Episodes of patient-ventilator asynchrony (PVA) occur during acute and chronic non-invasive positive pressure ventilation (NIV). In long-term NIV, description and quantification of PVA is not standardised, thus limiting assessment of its clinical impact. The present report provides a framework for a systematic analysis of polygraphic recordings of patients under NIV for the detection and classification of PVA validated by bench testing. The algorithm described uses two different time windows: rate asynchrony and intracycle asynchrony. This approach should facilitate further studies on prevalence and clinical impact of PVA in long-term NIV.

KW - asynchrony

KW - central sleep apnea

KW - home ventilators

KW - monitoring

KW - non-invasive ventilation

KW - obstructive sleep apnoea

KW - polysomnography

KW - sleep-disordered breathing

U2 - 10.1136/thoraxjnl-2018-213022

DO - 10.1136/thoraxjnl-2018-213022

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