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Published in: Critical Care 5/2013

Open Access 01-10-2013 | Research

An automated and standardized neural index to quantify patient-ventilator interaction

Authors: Christer Sinderby, Songqiao Liu, Davide Colombo, Gianmaria Camarotta, Arthur S Slutsky, Paolo Navalesi, Jennifer Beck

Published in: Critical Care | Issue 5/2013

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Abstract

Introduction

The aim of this study was to validate an automated, objective and standardized algorithm for quantifying and displaying patient-ventilator interaction.

Methods

Using a new method to detect patient-ventilator synchrony, the present study re-analyzed previously acquired and published data from 24 mechanically ventilated adult patients (Colombo et al., Crit Care Med. 2011 Nov;39(11):2452–7). Patient-ventilator interactions were evaluated by comparing ventilator pressure and diaphragm electrical activity (EAdi) waveforms, recorded during pressure support ventilation. The EAdi and ventilator pressure waveforms were analyzed for their timings (manually and automatically determined), and the error between the two waveforms was quantified. A new index of patient-ventilator interaction (NeuroSync index), which is standardized and automated, was validated and compared to manual analysis and previously published indices of asynchrony.

Results

The comparison of manual and automated detection methods produced high test-retest and inter-rater reliability (Intraclass correlation coefficient = 0.95). The NeuroSync index increased the sensitivity of detecting dyssynchronies, compared to previously published indices, which were found to only detect asynchronies.

Conclusion

The present study introduces an automated method and the NeuroSync index to determine patient-ventilator interaction with a more sensitive analysis method than those previously described. A dashboard-style of graphical display allows a rapid overview of patient-ventilator interaction and breathing pattern at the bedside.
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Metadata
Title
An automated and standardized neural index to quantify patient-ventilator interaction
Authors
Christer Sinderby
Songqiao Liu
Davide Colombo
Gianmaria Camarotta
Arthur S Slutsky
Paolo Navalesi
Jennifer Beck
Publication date
01-10-2013
Publisher
BioMed Central
Published in
Critical Care / Issue 5/2013
Electronic ISSN: 1364-8535
DOI
https://doi.org/10.1186/cc13063

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