Detecting Early Markers of Ventilator-Associated Pneumonia by Analysis of Exhaled Gas.


Journal

Critical care medicine
ISSN: 1530-0293
Titre abrégé: Crit Care Med
Pays: United States
ID NLM: 0355501

Informations de publication

Date de publication:
03 2019
Historique:
pubmed: 7 12 2018
medline: 3 1 2020
entrez: 4 12 2018
Statut: ppublish

Résumé

The detection of microbial volatile organic compounds or host response markers in the exhaled gas could give an earlier diagnosis of ventilator-associated pneumonia. Gas chromatography-ion mobility spectrometry enables noninvasive, rapid, and sensitive analysis of exhaled gas. Using a rabbit model of ventilator-associated pneumonia we determined if gas chromatography-ion mobility spectrometry is able to detect 1) ventilator-associated pneumonia specific changes and 2) bacterial species-specific changes in the exhaled gas. Experimental in vivo study. University research laboratory. Female New Zealand White rabbits. Animals were anesthetized and mechanically ventilated. To induce changes in the composition of exhaled gas we induced ventilator-associated pneumonia via endobronchial instillation of either Escherichia coli group (n = 11) or Pseudomonas aeruginosa group (n = 11) after 2 hours of mechanical ventilation. In a control group (n = 11) we instilled sterile lysogeny broth endobronchially. Gas chromatography-ion mobility spectrometry gas analysis, CT scans of the lungs, and blood samples were obtained at four measurement points during the 10 hours of mechanical ventilation. The volatile organic compound patterns in the exhaled gas were compared and correlated with ventilator-associated pneumonia severity. Sixty-seven peak areas showed changes in signal intensity in the serial gas analyses. The signal intensity changes in 10 peak regions differed between the groups. Five peak areas (P_648_36, indole, P_714_278, P_700_549, and P_727_557) showed statistically significant changes of signal intensity. This is the first in vivo study that shows the potential of gas chromatography-ion mobility spectrometry for early detection of ventilator-associated pneumonia specific volatile organic compounds and species differentiation by noninvasive analyses of exhaled gas.

Identifiants

pubmed: 30507842
doi: 10.1097/CCM.0000000000003573
doi:

Substances chimiques

Biomarkers 0
Volatile Organic Compounds 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

e234-e240

Auteurs

Nils Kunze-Szikszay (N)

Department of Anesthesiology, University Medical Center Göttingen, Göttingen, Germany.

Karoline Walliser (K)

Department of Anesthesiology, University Medical Center Göttingen, Göttingen, Germany.

Jakob Luther (J)

Department of Anesthesiology, University Medical Center Göttingen, Göttingen, Germany.

Barbara Cambiaghi (B)

Reparto di anestesia e rianimazione, Ospedale San Gerardo Monza- Università degli studi di Milano- Bicocca, Italy.

Verena Reupke (V)

Central Animal Facility, University Medical Center, Göttingen, Germany.

Wolfgang Vautz (W)

Leibniz-Institute for Analytical Sciences - ISAS - e.V., Bunsen-Kirchhoff-Straße 11, Dortmund, Germany.
ION-GAS GmbH, Konrad-Adenauer-Allee 11, Dortmund, Germany.

Felix Bremmer (F)

Institute for Pathology, University Medical Center, University of Göttingen, Robert-Koch-Straße 40, 37075 Göttingen, Germany.

Ursula Telgheder (U)

Department of Instrumental Analytical Chemistry, University of Duisburg-Essen, Universitätsstraße 5, Essen, Germany.

Cornelia Zscheppank (C)

Department of Instrumental Analytical Chemistry, University of Duisburg-Essen, Universitätsstraße 5, Essen, Germany.

Michael Quintel (M)

Department of Anesthesiology, University Medical Center Göttingen, Göttingen, Germany.

Thorsten Perl (T)

Department of Anesthesiology, University Medical Center Göttingen, Göttingen, Germany.
Department of General, Visceral and Pediatric Surgery, University Medical Center Göttingen, Göttingen, Germany.

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Classifications MeSH