Autoren:	Bodenstein, Marc Boehme, Stefan Bierschock, Stephan Vogt, Andreas David, Matthias Markstaller, Klaus
Titel:	Determination of respiratory gas flow by electrical impedance tomography in an animal model of mechanical ventilation
Online-Publikationsdatum:	4-Okt-2022
Erscheinungsdatum:	2014
Sprache des Dokuments:	Englisch
Zusammenfassung/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-Sachgruppe:	610 Medizin 610 Medical sciences
Veröffentlichende Institution:	Johannes Gutenberg-Universität Mainz
Organisationseinheit:	FB 04 Medizin
Veröffentlichungsort:	Mainz
ROR:	https://ror.org/023b0x485
DOI:	http://doi.org/10.25358/openscience-7802
Version:	Published version
Publikationstyp:	Zeitschriftenaufsatz
Nutzungsrechte:	CC BY
Informationen zu den Nutzungsrechten:	https://creativecommons.org/licenses/by/2.0/
Zeitschrift:	BMC pulmonary medicine 14
Seitenzahl oder Artikelnummer:	Art. 73
Verlag:	BioMed central
Verlagsort:	London
Erscheinungsdatum:	2014
ISSN:	1471-2466
URL der Originalveröffentlichung:	http://dx.doi.org/10.1186/1471-2466-14-73
DOI der Originalveröffentlichung:	10.1186/1471-2466-14-73
Enthalten in den Sammlungen:	DFG-OA-Publizieren (2012 - 2017)