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Changes in stroke volume induced by lung recruitment maneuver can predict fluid responsiveness during intraoperative lung-protective ventilation in prone position
BACKGROUND: The present study aimed to evaluate the reliability of hemodynamic changes induced by lung recruitment maneuver (LRM) in predicting stroke volume (SV) increase after fluid loading (FL) in prone position. METHODS: Thirty patients undergoing spine surgery in prone position were enrolled. L...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8638171/ https://www.ncbi.nlm.nih.gov/pubmed/34856928 http://dx.doi.org/10.1186/s12871-021-01527-y |
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author | Watanabe, Ryota Suehiro, Koichi Mukai, Akira Tanaka, Katsuaki Yamada, Tokuhiro Mori, Takashi Nishikawa, Kiyonobu |
author_facet | Watanabe, Ryota Suehiro, Koichi Mukai, Akira Tanaka, Katsuaki Yamada, Tokuhiro Mori, Takashi Nishikawa, Kiyonobu |
author_sort | Watanabe, Ryota |
collection | PubMed |
description | BACKGROUND: The present study aimed to evaluate the reliability of hemodynamic changes induced by lung recruitment maneuver (LRM) in predicting stroke volume (SV) increase after fluid loading (FL) in prone position. METHODS: Thirty patients undergoing spine surgery in prone position were enrolled. Lung-protective ventilation (tidal volume, 6–7 mL/kg; positive end-expiratory pressure, 5 cmH(2)O) was provided to all patients. LRM (30 cmH(2)O for 30 s) was performed. Hemodynamic variables including mean arterial pressure (MAP), heart rate, SV, SV variation (SVV), and pulse pressure variation (PPV) were simultaneously recorded before, during, and at 5 min after LRM and after FL (250 mL in 10 min). Receiver operating characteristic curves were generated to evaluate the predictability of SVV, PPV, and SV decrease by LRM (ΔSV(LRM)) for SV responders (SV increase after FL > 10%). The gray zone approach was applied for ΔSV(LRM). RESULTS: Areas under the curve (AUCs) for ΔSV(LRM), SVV, and PPV to predict SV responders were 0.778 (95% confidence interval: 0.590–0.909), 0.563 (0.371–0.743), and 0.502 (0.315–0.689), respectively. The optimal threshold for ΔSV(LRM) was 30% (sensitivity, 92.3%; specificity, 70.6%). With the gray zone approach, the inconclusive values ranged 25 to 75% for ΔSV(LRM) (including 50% of enrolled patients). CONCLUSION: In prone position, LRM-induced SV decrease predicted SV increase after FL with higher reliability than traditional dynamic indices. On the other hand, considering the relatively large gray zone in this study, future research is needed to further improve the clinical significance. TRIAL REGISTRATION: UMIN Clinical Trial Registry UMIN000027966. Registered 28th June 2017. |
format | Online Article Text |
id | pubmed-8638171 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-86381712021-12-02 Changes in stroke volume induced by lung recruitment maneuver can predict fluid responsiveness during intraoperative lung-protective ventilation in prone position Watanabe, Ryota Suehiro, Koichi Mukai, Akira Tanaka, Katsuaki Yamada, Tokuhiro Mori, Takashi Nishikawa, Kiyonobu BMC Anesthesiol Research BACKGROUND: The present study aimed to evaluate the reliability of hemodynamic changes induced by lung recruitment maneuver (LRM) in predicting stroke volume (SV) increase after fluid loading (FL) in prone position. METHODS: Thirty patients undergoing spine surgery in prone position were enrolled. Lung-protective ventilation (tidal volume, 6–7 mL/kg; positive end-expiratory pressure, 5 cmH(2)O) was provided to all patients. LRM (30 cmH(2)O for 30 s) was performed. Hemodynamic variables including mean arterial pressure (MAP), heart rate, SV, SV variation (SVV), and pulse pressure variation (PPV) were simultaneously recorded before, during, and at 5 min after LRM and after FL (250 mL in 10 min). Receiver operating characteristic curves were generated to evaluate the predictability of SVV, PPV, and SV decrease by LRM (ΔSV(LRM)) for SV responders (SV increase after FL > 10%). The gray zone approach was applied for ΔSV(LRM). RESULTS: Areas under the curve (AUCs) for ΔSV(LRM), SVV, and PPV to predict SV responders were 0.778 (95% confidence interval: 0.590–0.909), 0.563 (0.371–0.743), and 0.502 (0.315–0.689), respectively. The optimal threshold for ΔSV(LRM) was 30% (sensitivity, 92.3%; specificity, 70.6%). With the gray zone approach, the inconclusive values ranged 25 to 75% for ΔSV(LRM) (including 50% of enrolled patients). CONCLUSION: In prone position, LRM-induced SV decrease predicted SV increase after FL with higher reliability than traditional dynamic indices. On the other hand, considering the relatively large gray zone in this study, future research is needed to further improve the clinical significance. TRIAL REGISTRATION: UMIN Clinical Trial Registry UMIN000027966. Registered 28th June 2017. BioMed Central 2021-12-02 /pmc/articles/PMC8638171/ /pubmed/34856928 http://dx.doi.org/10.1186/s12871-021-01527-y Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Watanabe, Ryota Suehiro, Koichi Mukai, Akira Tanaka, Katsuaki Yamada, Tokuhiro Mori, Takashi Nishikawa, Kiyonobu Changes in stroke volume induced by lung recruitment maneuver can predict fluid responsiveness during intraoperative lung-protective ventilation in prone position |
title | Changes in stroke volume induced by lung recruitment maneuver can predict fluid responsiveness during intraoperative lung-protective ventilation in prone position |
title_full | Changes in stroke volume induced by lung recruitment maneuver can predict fluid responsiveness during intraoperative lung-protective ventilation in prone position |
title_fullStr | Changes in stroke volume induced by lung recruitment maneuver can predict fluid responsiveness during intraoperative lung-protective ventilation in prone position |
title_full_unstemmed | Changes in stroke volume induced by lung recruitment maneuver can predict fluid responsiveness during intraoperative lung-protective ventilation in prone position |
title_short | Changes in stroke volume induced by lung recruitment maneuver can predict fluid responsiveness during intraoperative lung-protective ventilation in prone position |
title_sort | changes in stroke volume induced by lung recruitment maneuver can predict fluid responsiveness during intraoperative lung-protective ventilation in prone position |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8638171/ https://www.ncbi.nlm.nih.gov/pubmed/34856928 http://dx.doi.org/10.1186/s12871-021-01527-y |
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