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Prediction of postoperative complications after hepatectomy with dynamic monitoring of central venous oxygen saturation

BACKGROUND: The usefulness of static monitoring using central venous pressure has been reported for anesthetic management in hepatectomy. It is unclear whether intra-hepatectomy dynamic monitoring can predict the postoperative course. We aimed to investigate the association between intraoperative dy...

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Autores principales: Ida, Shinya, Morita, Yoshifumi, Matsumoto, Akio, Muraki, Ryuta, Kitajima, Ryo, Furuhashi, Satoru, Takeda, Makoto, Kikuchi, Hirotoshi, Hiramatsu, Yoshihiro, Takeuchi, Hiroya
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10644466/
https://www.ncbi.nlm.nih.gov/pubmed/37957615
http://dx.doi.org/10.1186/s12893-023-02238-6
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author Ida, Shinya
Morita, Yoshifumi
Matsumoto, Akio
Muraki, Ryuta
Kitajima, Ryo
Furuhashi, Satoru
Takeda, Makoto
Kikuchi, Hirotoshi
Hiramatsu, Yoshihiro
Takeuchi, Hiroya
author_facet Ida, Shinya
Morita, Yoshifumi
Matsumoto, Akio
Muraki, Ryuta
Kitajima, Ryo
Furuhashi, Satoru
Takeda, Makoto
Kikuchi, Hirotoshi
Hiramatsu, Yoshihiro
Takeuchi, Hiroya
author_sort Ida, Shinya
collection PubMed
description BACKGROUND: The usefulness of static monitoring using central venous pressure has been reported for anesthetic management in hepatectomy. It is unclear whether intra-hepatectomy dynamic monitoring can predict the postoperative course. We aimed to investigate the association between intraoperative dynamic monitoring and post-hepatectomy complications. Furthermore, we propose a novel anesthetic management strategy to reduce postoperative complication. METHODS: From 2018 to 2021, 93 patients underwent hepatectomy at our hospital. Fifty-three patients who underwent dynamic monitoring during hepatectomy were enrolled. Flo Trac system was used for dynamic monitoring. The baseline central venous oxygen saturation (ScvO(2)) was defined as the average ScvO(2) for 30 min after anesthesia induction. ScvO(2) fluctuation (ΔScvO(2)) was defined as the difference between the baseline and minimum ScvO(2). Postoperative complications were evaluated using the comprehensive complication index (CCI). RESULTS: Patients with ΔScvO(2) ≥ 10% had significantly higher CCI scores (0 vs. 20.9: p = 0.043). In univariate analysis, patients with higher CCI scores demonstrated significantly higher preoperative C-reactive protein-to-lymphocyte ratio (7.51 vs. 24.49: p = 0.039), intraoperative bleeding (105 vs. 581 ml: p = 0.008), number of patients with major hepatectomy (4/45 vs. 3/8: p = 0.028), and number of patients with ΔScvO(2) ≥ 10% (11/45 vs. 6/8; p = 0.010). Multivariate logistic regression analysis revealed that ΔScvO(2) ≥ 10% (odds ratio: 9.53, p = 0.016) was the only independent predictor of elevated CCI. CONCLUSIONS: Central venous oxygen saturation fluctuation during hepatectomy is a predictor of postoperative complications. Anesthetic management based on intraoperative dynamic monitoring and minimizing the change in ScvO(2) is a potential strategy for decreasing the risk of post-hepatectomy complications. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12893-023-02238-6.
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spelling pubmed-106444662023-11-14 Prediction of postoperative complications after hepatectomy with dynamic monitoring of central venous oxygen saturation Ida, Shinya Morita, Yoshifumi Matsumoto, Akio Muraki, Ryuta Kitajima, Ryo Furuhashi, Satoru Takeda, Makoto Kikuchi, Hirotoshi Hiramatsu, Yoshihiro Takeuchi, Hiroya BMC Surg Research BACKGROUND: The usefulness of static monitoring using central venous pressure has been reported for anesthetic management in hepatectomy. It is unclear whether intra-hepatectomy dynamic monitoring can predict the postoperative course. We aimed to investigate the association between intraoperative dynamic monitoring and post-hepatectomy complications. Furthermore, we propose a novel anesthetic management strategy to reduce postoperative complication. METHODS: From 2018 to 2021, 93 patients underwent hepatectomy at our hospital. Fifty-three patients who underwent dynamic monitoring during hepatectomy were enrolled. Flo Trac system was used for dynamic monitoring. The baseline central venous oxygen saturation (ScvO(2)) was defined as the average ScvO(2) for 30 min after anesthesia induction. ScvO(2) fluctuation (ΔScvO(2)) was defined as the difference between the baseline and minimum ScvO(2). Postoperative complications were evaluated using the comprehensive complication index (CCI). RESULTS: Patients with ΔScvO(2) ≥ 10% had significantly higher CCI scores (0 vs. 20.9: p = 0.043). In univariate analysis, patients with higher CCI scores demonstrated significantly higher preoperative C-reactive protein-to-lymphocyte ratio (7.51 vs. 24.49: p = 0.039), intraoperative bleeding (105 vs. 581 ml: p = 0.008), number of patients with major hepatectomy (4/45 vs. 3/8: p = 0.028), and number of patients with ΔScvO(2) ≥ 10% (11/45 vs. 6/8; p = 0.010). Multivariate logistic regression analysis revealed that ΔScvO(2) ≥ 10% (odds ratio: 9.53, p = 0.016) was the only independent predictor of elevated CCI. CONCLUSIONS: Central venous oxygen saturation fluctuation during hepatectomy is a predictor of postoperative complications. Anesthetic management based on intraoperative dynamic monitoring and minimizing the change in ScvO(2) is a potential strategy for decreasing the risk of post-hepatectomy complications. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12893-023-02238-6. BioMed Central 2023-11-14 /pmc/articles/PMC10644466/ /pubmed/37957615 http://dx.doi.org/10.1186/s12893-023-02238-6 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This 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
Ida, Shinya
Morita, Yoshifumi
Matsumoto, Akio
Muraki, Ryuta
Kitajima, Ryo
Furuhashi, Satoru
Takeda, Makoto
Kikuchi, Hirotoshi
Hiramatsu, Yoshihiro
Takeuchi, Hiroya
Prediction of postoperative complications after hepatectomy with dynamic monitoring of central venous oxygen saturation
title Prediction of postoperative complications after hepatectomy with dynamic monitoring of central venous oxygen saturation
title_full Prediction of postoperative complications after hepatectomy with dynamic monitoring of central venous oxygen saturation
title_fullStr Prediction of postoperative complications after hepatectomy with dynamic monitoring of central venous oxygen saturation
title_full_unstemmed Prediction of postoperative complications after hepatectomy with dynamic monitoring of central venous oxygen saturation
title_short Prediction of postoperative complications after hepatectomy with dynamic monitoring of central venous oxygen saturation
title_sort prediction of postoperative complications after hepatectomy with dynamic monitoring of central venous oxygen saturation
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10644466/
https://www.ncbi.nlm.nih.gov/pubmed/37957615
http://dx.doi.org/10.1186/s12893-023-02238-6
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