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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Wolters Kluwer Medknow Publications
2019-01-01
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Series: | Journal of Medical Sciences |
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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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issn | 1011-4564 |
language | English |
last_indexed | 2024-12-22T09:45:43Z |
publishDate | 2019-01-01 |
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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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