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Published in: Journal of Clinical Monitoring and Computing 2/2015

01-04-2015 | Original Research

Estimation of shunt fraction by transesophageal echocardiography during one-lung ventilation

Authors: Miao Wang, Quan Gong, Wei Wei

Published in: Journal of Clinical Monitoring and Computing | Issue 2/2015

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Abstract

As the blood flow volume in non-dependent lung composed the primary part of the intrapulmonary shunt during one-lung ventilation (OLV), the shunt fraction (SF) during OLV can be represented by the ratio of blood flow volume in non-dependent lung to the bilateral lung. The purpose of this study is to estimate the shunt in non-dependent lung by transesophageal echocardiography (TEE). Fifteen adult patients requiring OLV for thoracic surgery were enrolled in the study. The upper pulmonary venous flow pattern in bilateral lung and main pulmonary artery flow pattern were acquired respectively by TEE for their velocity time integral (VTI) measurements in following time intervals: before OLV (T0), 30 min after OLV (T30) and 60 min after OLV (T60). Simultaneously the arterial blood was sampled for gas analysis. SF was calculated by VTI of bilateral upper pulmonary veins, and percentage change of blood flow (BFP) was the ratio of upper pulmonary venous VTI between in OLV period and before OLV in non-dependent lung. There was significant decrease in PaO2 and increase in cardiac output after OLV. The pulmonary blood flow in non-dependent lung decreased significantly compared with T0, and SF was 37.1 ± 8.3 and 35.2 ± 7.2 % respectively at T30 and T60. There was significant liner correlation between SF and PaO2 (r = 0.717), and between BFP and PaO2 (r = 0.593). It is feasible to estimate intrapulmonary shunt by TEE in anesthetized patients undergoing OLV. SF measured by TEE has significant correlation with PaO2, and it would expected to be used to predict hypoxemia during OLV.
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Metadata
Title
Estimation of shunt fraction by transesophageal echocardiography during one-lung ventilation
Authors
Miao Wang
Quan Gong
Wei Wei
Publication date
01-04-2015
Publisher
Springer Netherlands
Published in
Journal of Clinical Monitoring and Computing / Issue 2/2015
Print ISSN: 1387-1307
Electronic ISSN: 1573-2614
DOI
https://doi.org/10.1007/s10877-014-9606-2

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