Predict fluid responsiveness by stroke volume variation in patients undergoing protective one-lung ventilation in pressure-controlled ventilation mode

Objective: The aim of this study is to use stroke volume variation (SVV) as an indicator to predict fluid responsiveness in patients undergoing protective one-lung ventilation (OLV) in pressure-controlled ventilation mode. Design and Setting: A prospective clinical study in an operating room in a me...

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Main Authors: Wei-Hung Chan, Tsai-Wang Huang, Chiao-Pei Cheng, Go-Shine Huang, Yung-Chi Hsu, Yi-Hsuan Huang, Zhi-Fu Wu
Format: Article
Language:English
Published: Wolters Kluwer Medknow Publications 2019-01-01
Series:Journal of Medical Sciences
Subjects:
Online Access:http://www.jmedscindmc.com/article.asp?issn=1011-4564;year=2019;volume=39;issue=3;spage=135;epage=139;aulast=Chan
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author Wei-Hung Chan
Tsai-Wang Huang
Chiao-Pei Cheng
Go-Shine Huang
Yung-Chi Hsu
Yi-Hsuan Huang
Zhi-Fu Wu
author_facet Wei-Hung Chan
Tsai-Wang Huang
Chiao-Pei Cheng
Go-Shine Huang
Yung-Chi Hsu
Yi-Hsuan Huang
Zhi-Fu Wu
author_sort Wei-Hung Chan
collection DOAJ
description Objective: The aim of this study is to use stroke volume variation (SVV) as an indicator to predict fluid responsiveness in patients undergoing protective one-lung ventilation (OLV) in pressure-controlled ventilation mode. Design and Setting: A prospective clinical study in an operating room in a medical center. Patients: Fourteen patients receiving video-assisted thoracic surgery while undergoing OLV in pressure-controlled ventilation mode. Methods: After starting OLV in pressure-controlled ventilation mode, all patients were administered 6 ml/kg 6% hydroxyethyl starch for 20 min. Vigileo-FloTrac system was used to record hemodynamic variables before and after volume loading. The ability of SVV to predict fluid responsiveness was tested by calculating the area under the receiver operating characteristic (ROC) curve for an increase in stroke volume index of ≥10% after volume loading, and the optimal threshold value of SVV was calculated. Results: The area under the ROC curve for SVV to discriminate between responders and nonresponders was 0.89 (95% confidence interval, 0.700–1; P = 0.03). The optimal threshold value of SVV was 8.5% (sensitivity 88.89%; specificity 75%). Conclusions: SVV may be suitable for predicting fluid responsiveness in patients undergoing protective OLV in pressure-controlled ventilation mode.
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spelling doaj.art-6014c96dbe4845c7ae002839e219c0a52022-12-21T18:30:33ZengWolters Kluwer Medknow PublicationsJournal of Medical Sciences1011-45642019-01-0139313513910.4103/jmedsci.jmedsci_166_18Predict fluid responsiveness by stroke volume variation in patients undergoing protective one-lung ventilation in pressure-controlled ventilation modeWei-Hung ChanTsai-Wang HuangChiao-Pei ChengGo-Shine HuangYung-Chi HsuYi-Hsuan HuangZhi-Fu WuObjective: The aim of this study is to use stroke volume variation (SVV) as an indicator to predict fluid responsiveness in patients undergoing protective one-lung ventilation (OLV) in pressure-controlled ventilation mode. Design and Setting: A prospective clinical study in an operating room in a medical center. Patients: Fourteen patients receiving video-assisted thoracic surgery while undergoing OLV in pressure-controlled ventilation mode. Methods: After starting OLV in pressure-controlled ventilation mode, all patients were administered 6 ml/kg 6% hydroxyethyl starch for 20 min. Vigileo-FloTrac system was used to record hemodynamic variables before and after volume loading. The ability of SVV to predict fluid responsiveness was tested by calculating the area under the receiver operating characteristic (ROC) curve for an increase in stroke volume index of ≥10% after volume loading, and the optimal threshold value of SVV was calculated. Results: The area under the ROC curve for SVV to discriminate between responders and nonresponders was 0.89 (95% confidence interval, 0.700–1; P = 0.03). The optimal threshold value of SVV was 8.5% (sensitivity 88.89%; specificity 75%). Conclusions: SVV may be suitable for predicting fluid responsiveness in patients undergoing protective OLV in pressure-controlled ventilation mode.http://www.jmedscindmc.com/article.asp?issn=1011-4564;year=2019;volume=39;issue=3;spage=135;epage=139;aulast=ChanStroke volume variationgoal-directed fluid therapyOne-lung ventilationfluid responsiveness
spellingShingle Wei-Hung Chan
Tsai-Wang Huang
Chiao-Pei Cheng
Go-Shine Huang
Yung-Chi Hsu
Yi-Hsuan Huang
Zhi-Fu Wu
Predict fluid responsiveness by stroke volume variation in patients undergoing protective one-lung ventilation in pressure-controlled ventilation mode
Journal of Medical Sciences
Stroke volume variation
goal-directed fluid therapy
One-lung ventilation
fluid responsiveness
title Predict fluid responsiveness by stroke volume variation in patients undergoing protective one-lung ventilation in pressure-controlled ventilation mode
title_full Predict fluid responsiveness by stroke volume variation in patients undergoing protective one-lung ventilation in pressure-controlled ventilation mode
title_fullStr Predict fluid responsiveness by stroke volume variation in patients undergoing protective one-lung ventilation in pressure-controlled ventilation mode
title_full_unstemmed Predict fluid responsiveness by stroke volume variation in patients undergoing protective one-lung ventilation in pressure-controlled ventilation mode
title_short Predict fluid responsiveness by stroke volume variation in patients undergoing protective one-lung ventilation in pressure-controlled ventilation mode
title_sort predict fluid responsiveness by stroke volume variation in patients undergoing protective one lung ventilation in pressure controlled ventilation mode
topic Stroke volume variation
goal-directed fluid therapy
One-lung ventilation
fluid responsiveness
url http://www.jmedscindmc.com/article.asp?issn=1011-4564;year=2019;volume=39;issue=3;spage=135;epage=139;aulast=Chan
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