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  • Poster presentation
  • Open Access

Feasibility of continuous exhaled breath analysis in intubated and mechanically ventilated critically ill patients

  • 1,
  • 1 and
  • 1
Critical Care201115 (Suppl 1) :P143

https://doi.org/10.1186/cc9563

  • Published:

Keywords

  • Volatile Organic Compound
  • Patient Sample
  • Rapid Change
  • Salbutamol
  • Continuous Monitoring

Introduction

Pulmonary elimination of volatile molecules (so-called volatile organic compounds (VOCs)) is altered in a variety of pulmonary and nonpulmonary diseases [1]. Because breath of intubated and mechanically ventilated critically ill patients is continuously available, detection of changes in VOC patterns could be used to monitor these patients. We hypothesized that an electronic nose (eNose) provides a reliable and continuous read-out of changes in patterns of exhaled VOCs (so-called breathprints).

Methods

An observational pilot study of six intubated and mechanically ventilated critically ill patients. Breathprints were collected by means of an eNose every 10 seconds for ± 7 hours. The patient sample size is too small for statistical analysis between patients, but varying fluctuations could be analysed within each patient.

Results

Breathprints fluctuated considerably over time (SEM 1.18). However, typical changes could be detected: for example, salbutamol inhalation, decreased static compliance and increased minute volumes all caused a rapid change in the breathprints (illustrated in Figure 1).
Figure 1
Figure 1

Changes in resistance of sensors during 7 hours of mechanical ventilation.

Conclusions

Continuous monitoring of exhaled breath using an eNose is feasible in intubated and mechanically ventilated patients. Our data suggest that changes of breathprints within patients could be used to assess the clinical course of the patients.

Authors’ Affiliations

(1)
Academic Medical Center, Amsterdam, the Netherlands

References

  1. Rock F: Chem Rev. 2008, 108: 705-725. 10.1021/cr068121qView ArticlePubMedGoogle Scholar

Copyright

© Bos et al. 2011

This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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