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The complexity analysis of cerebral oxygen saturation during pneumoperitoneum and Trendelenburg position: a retrospective cohort study

BACKGROUND: The human brain is a highly complex and nonlinear system, nonlinear complexity measures such as approximate entropy (ApEn) and sample entropy (SampEn) can better reveal characteristics of brain dynamics. However, no studies report complexity of perioperative physiological signals to reve...

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Autores principales: Wang, Xiaoxiao, Liu, Chang, Zhang, Kai, Zhang, Yunliang, Yu, Yao, Mi, Weidong, Li, Hao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9816202/
https://www.ncbi.nlm.nih.gov/pubmed/36322328
http://dx.doi.org/10.1007/s40520-022-02283-w
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author Wang, Xiaoxiao
Liu, Chang
Zhang, Kai
Zhang, Yunliang
Yu, Yao
Mi, Weidong
Li, Hao
author_facet Wang, Xiaoxiao
Liu, Chang
Zhang, Kai
Zhang, Yunliang
Yu, Yao
Mi, Weidong
Li, Hao
author_sort Wang, Xiaoxiao
collection PubMed
description BACKGROUND: The human brain is a highly complex and nonlinear system, nonlinear complexity measures such as approximate entropy (ApEn) and sample entropy (SampEn) can better reveal characteristics of brain dynamics. However, no studies report complexity of perioperative physiological signals to reveal how brain complexity associates with age, varies along with the development of surgery and postoperative neurological complications. AIM: This study examined the complexity of intraoperative regional cerebral oxygen saturation (rSO(2)), aiming to reveal brain dynamics during surgery. METHODS: This retrospective cohort study enrolled patients who scheduled for robot-assisted urological surgery. Intraoperative rSO(2) was continuously monitored throughout the surgery. Postoperative delirium (POD) was diagnosed by the Confusion Assessment Method. ApEn and SampEn were used to characterize the complexity of rSO(2). Pearson correlation coefficients were used to measure the correlation between complexity of rSO(2) and age. The association between complexity of rSO(2) and POD was examined using T tests. RESULTS: A total of 68 patients (mean [SD] age, 63.0 (12.0) years; 47 (69.1%) males) were include in this analysis. There was a significant reverse relationship between the complexity of rSO(2) and age (The correlation coefficients range between − 0.32 and − 0.28, all p < 0.05). Patients  ≥ 75 years showed significantly lower complexity of rSO(2) than the other two groups. Older age remained an independent factor influencing complexity of rSO(2) after adjusting for a number of covariates. Six patients (8.8%) developed POD, and POD patients had lower complexity of rSO(2) compared with non-POD patients. CONCLUSIONS: The complexity of rSO(2) may serve as a new candidate marker of aging and POD prediction. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s40520-022-02283-w.
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spelling pubmed-98162022023-01-07 The complexity analysis of cerebral oxygen saturation during pneumoperitoneum and Trendelenburg position: a retrospective cohort study Wang, Xiaoxiao Liu, Chang Zhang, Kai Zhang, Yunliang Yu, Yao Mi, Weidong Li, Hao Aging Clin Exp Res Original Article BACKGROUND: The human brain is a highly complex and nonlinear system, nonlinear complexity measures such as approximate entropy (ApEn) and sample entropy (SampEn) can better reveal characteristics of brain dynamics. However, no studies report complexity of perioperative physiological signals to reveal how brain complexity associates with age, varies along with the development of surgery and postoperative neurological complications. AIM: This study examined the complexity of intraoperative regional cerebral oxygen saturation (rSO(2)), aiming to reveal brain dynamics during surgery. METHODS: This retrospective cohort study enrolled patients who scheduled for robot-assisted urological surgery. Intraoperative rSO(2) was continuously monitored throughout the surgery. Postoperative delirium (POD) was diagnosed by the Confusion Assessment Method. ApEn and SampEn were used to characterize the complexity of rSO(2). Pearson correlation coefficients were used to measure the correlation between complexity of rSO(2) and age. The association between complexity of rSO(2) and POD was examined using T tests. RESULTS: A total of 68 patients (mean [SD] age, 63.0 (12.0) years; 47 (69.1%) males) were include in this analysis. There was a significant reverse relationship between the complexity of rSO(2) and age (The correlation coefficients range between − 0.32 and − 0.28, all p < 0.05). Patients  ≥ 75 years showed significantly lower complexity of rSO(2) than the other two groups. Older age remained an independent factor influencing complexity of rSO(2) after adjusting for a number of covariates. Six patients (8.8%) developed POD, and POD patients had lower complexity of rSO(2) compared with non-POD patients. CONCLUSIONS: The complexity of rSO(2) may serve as a new candidate marker of aging and POD prediction. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s40520-022-02283-w. Springer International Publishing 2022-11-02 2023 /pmc/articles/PMC9816202/ /pubmed/36322328 http://dx.doi.org/10.1007/s40520-022-02283-w Text en © The Author(s) 2022 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/) .
spellingShingle Original Article
Wang, Xiaoxiao
Liu, Chang
Zhang, Kai
Zhang, Yunliang
Yu, Yao
Mi, Weidong
Li, Hao
The complexity analysis of cerebral oxygen saturation during pneumoperitoneum and Trendelenburg position: a retrospective cohort study
title The complexity analysis of cerebral oxygen saturation during pneumoperitoneum and Trendelenburg position: a retrospective cohort study
title_full The complexity analysis of cerebral oxygen saturation during pneumoperitoneum and Trendelenburg position: a retrospective cohort study
title_fullStr The complexity analysis of cerebral oxygen saturation during pneumoperitoneum and Trendelenburg position: a retrospective cohort study
title_full_unstemmed The complexity analysis of cerebral oxygen saturation during pneumoperitoneum and Trendelenburg position: a retrospective cohort study
title_short The complexity analysis of cerebral oxygen saturation during pneumoperitoneum and Trendelenburg position: a retrospective cohort study
title_sort complexity analysis of cerebral oxygen saturation during pneumoperitoneum and trendelenburg position: a retrospective cohort study
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9816202/
https://www.ncbi.nlm.nih.gov/pubmed/36322328
http://dx.doi.org/10.1007/s40520-022-02283-w
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