Please use this identifier to cite or link to this item: http://doi.org/10.25358/openscience-7802
Authors: Bodenstein, Marc
Boehme, Stefan
Bierschock, Stephan
Vogt, Andreas
David, Matthias
Markstaller, Klaus
Title: Determination of respiratory gas flow by electrical impedance tomography in an animal model of mechanical ventilation
Online publication date: 4-Oct-2022
Year of first publication: 2014
Language: english
Abstract: BACKGROUND: A recent method determines regional gas flow of the lung by electrical impedance tomography (EIT). The aim of this study is to show the applicability of this method in a porcine model of mechanical ventilation in healthy and diseased lungs. Our primary hypothesis is that global gas flow measured by EIT can be correlated with spirometry. Our secondary hypothesis is that regional analysis of respiratory gas flow delivers physiologically meaningful results. METHODS: In two sets of experiments n = 7 healthy pigs and n = 6 pigs before and after induction of lavage lung injury were investigated. EIT of the lung and spirometry were registered synchronously during ongoing mechanical ventilation. In-vivo aeration of the lung was analysed in four regions-of-interest (ROI) by EIT: 1) global, 2) ventral (non-dependent), 3) middle and 4) dorsal (dependent) ROI. Respiratory gas flow was calculated by the first derivative of the regional aeration curve. Four phases of the respiratory cycle were discriminated. They delivered peak and late inspiratory and expiratory gas flow (PIF, LIF, PEF, LEF) characterizing early or late inspiration or expiration. RESULTS: Linear regression analysis of EIT and spirometry in healthy pigs revealed a very good correlation measuring peak flow and a good correlation detecting late flow. PIFEIT = 0.702 . PIFspiro + 117.4, r(2) = 0.809; PEFEIT = 0.690 . PEFspiro-124.2, r(2) = 0.760; LIFEIT = 0.909 . LIFspiro + 27.32, r(2) = 0.572 and LEFEIT = 0.858 . LEFspiro-10.94, r(2) = 0.647. EIT derived absolute gas flow was generally smaller than data from spirometry. Regional gas flow was distributed heterogeneously during different phases of the respiratory cycle. But, the regional distribution of gas flow stayed stable during different ventilator settings. Moderate lung injury changed the regional pattern of gas flow. CONCLUSIONS: We conclude that the presented method is able to determine global respiratory gas flow of the lung in different phases of the respiratory cycle. Additionally, it delivers meaningful insight into regional pulmonary characteristics, i.e. the regional ability of the lung to take up and to release air.
DDC: 610 Medizin
610 Medical sciences
Institution: Johannes Gutenberg-Universität Mainz
Department: FB 04 Medizin
Place: Mainz
ROR: https://ror.org/023b0x485
DOI: http://doi.org/10.25358/openscience-7802
Version: Published version
Publication type: Zeitschriftenaufsatz
License: CC BY
Information on rights of use: https://creativecommons.org/licenses/by/2.0/
Journal: BMC pulmonary medicine
14
Pages or article number: Art. 73
Publisher: BioMed central
Publisher place: London
Issue date: 2014
ISSN: 1471-2466
Publisher URL: http://dx.doi.org/10.1186/1471-2466-14-73
Publisher DOI: 10.1186/1471-2466-14-73
Appears in collections:DFG-OA-Publizieren (2012 - 2017)

Files in This Item:
  File Description SizeFormat
Thumbnail
determination_of_respiratory_-20220913235330677.pdf942.43 kBAdobe PDFView/Open