Xiu-Yun Liu, Jing-Jing Mu, Jian-Ge Han, Mei-Jun Pang, Kuo Zhang, Wen-Qian Zhai, Nan Su, Guang-Jian Ni, Zhi-Gang Guo, Dong Ming
{"title":"心脑轴:非体外循环 CABG 手术中的低血压与术后心力衰竭有关","authors":"Xiu-Yun Liu, Jing-Jing Mu, Jian-Ge Han, Mei-Jun Pang, Kuo Zhang, Wen-Qian Zhai, Nan Su, Guang-Jian Ni, Zhi-Gang Guo, Dong Ming","doi":"10.1186/s40779-024-00522-x","DOIUrl":null,"url":null,"abstract":"<p>Dear Editor,</p><p>The primary objective of the letter is to emphasize the importance of personalized management of arterial blood pressure (ABP) in the context of off-pump coronary artery bypass grafting (CABG) surgery. Coronary artery disease, a leading global cause of mortality, necessitates a substantial number of cardiac surgeries, with approximately 400,000 CABG operations conducted annually in the United States. Postoperative heart failure (HF) is a common occurrence after CABG surgery, with readmission rates within 30 d due to HF ranging from 12 to 16%. Researchers have highlighted the critical role of HF management before, during and after CABG surgery, identifying hemodynamic instability, perioperative myocardial injury, and low cardiac output syndrome as predictive factors for postoperative HF. In 2023, Han et al. [1] found that factors such as pulse index failure and composite grafting are independent predictors of CABG failure. Additionally, a study reported by Loncar et al. [2] revealed a significant relationship between reduced cerebral blood flow (CBF) and the severity of HF in elderly males. Moreover, Hartono et al. [3] pointed out that perioperative myocardial injury and pre-existing left ventricular systolic dysfunction can contribute to post-CABG HF. In the surgical setting, the reduction of mean arterial pressure (MAP) to minimize collateral bleeding and enhance surgical visualization often leads to low systemic perfusion. Currently, the prevailing approach in CABG surgeries involves a uniform MAP management strategy, typically targeting a range of 60 to 70 mmHg for most patients. However, given the varying clinical backgrounds of patients and their diverse tolerance to low MAP levels, there is an urgent need for personalized MAP management during CABG surgery to ensure adequate blood flow and prevent postoperative complications.</p><p>The brain maintains stable perfusion through cerebral autoregulation (CA), which allows it to regulate CBF despite changes in ABP. Rhee et al. [4] have previously demonstrated that under severe hypoperfusion, the body may prioritize protecting the brain over peripheral organs such as the kidneys. By inducing continuous blood loss in piglets, they observed a reduction in kidney blood flow preceding a decrease in CBF. Previous studies by our researchers and others have established a correlation between low blood pressure and reduced cerebral perfusion during CABG and postoperative complications, including delirium, acute kidney injury, major morbidity, and operative mortality [5,6,7]. However, the specific MAP target most strongly associated with HF remains unknown. Therefore, the hypothesis of our current study is that low MAP and reduced cerebral perfusion to the brain might be a strong indicator of systemic ischemia and HF.</p><p>Various parameters have been developed to monitor intraoperative CA in real-time, including cerebral oxygen saturation index (COx), which is determined by the correlation between MAP and regional cortical oxygen saturation (rSO<sub>2</sub>). COx further facilitates the promotion of personalized MAP management guideline by identifying specific MAP targets, such as the lower limit of autoregulation (LLA), the upper limit of autoregulation (ULA), and optimal mean arterial pressure (MAPopt). In the past several decades, these targets have been examined to prevent postoperative complications after on-pump CABG, but concerns have been raised about the reliability of these findings due to the dampening of blood pressure fluctuations during pump-driven circulation. As pointed out by Claassen et al. [8] and Gelpi et al. [9], the natural variability of MAP is extremely important in CA, emphasizing the dynamic relationship between blood pressure and CBF as a high-pass filter that may be attributed to the slow adaptation (< 0.2 Hz) of cerebral arterioles in response to fast fluctuations of perfusion pressure (< 0.2 Hz). Consequently, there is growing interest in off-pump CABG surgery due to the potential benefits of reduced stroke risk. Further investigation is warranted to establish personalized MAP management for off-pump CABG patients.</p><p>In this study, we have introduced a personalized approach to managing MAP during off-pump CABG surgery to address the aforementioned challenges and the whole process is shown in Fig. 1. Utilizing a sampling frequency of 1 Hz, ABP and brain oxygen saturation (rSO<sub>2</sub>) were concurrently monitored in a group of patients undergoing off-pump CABG at Tianjin Chest Hospital (Tianjin, China), as shown in Additional file 1: Fig. S1. Individualized MAPopt, LLA, and ULA were determined by calculating COx for each patient. A previously established multi-window curve-fitting algorithm was used to construct a “U-shaped” curve (Additional file 1: Fig. S2) [10]. The relationship between the extent of MAP below a certain threshold and patient outcome was assessed by computing area under the curve (AUC) of MAP below MAPopt (or LLA). The AUC for MAP exceed in ULA was also calculated. Additionally, the percentage of time spent with MAP below MAPopt (or LLA) and above ULA was analyzed. Data integration was performed using Matlab software and subsequent analysis was conducted using the software of intensive care monitoring plus (ICM +). For statistics, we used a logistic regression model adjusted for age, diabetes, aspartate aminotransferase/alanine transaminase (AST/ALT) and log EuroSCORE (determined prior to possible confounding variables). For more details, please refer to Additional file 1: Material and methods.</p><figure><figcaption><b data-test=\"figure-caption-text\">Fig. 1</b></figcaption><picture><source srcset=\"//media.springernature.com/lw685/springer-static/image/art%3A10.1186%2Fs40779-024-00522-x/MediaObjects/40779_2024_522_Fig1_HTML.png?as=webp\" type=\"image/webp\"/><img alt=\"figure 1\" aria-describedby=\"Fig1\" height=\"518\" loading=\"lazy\" src=\"//media.springernature.com/lw685/springer-static/image/art%3A10.1186%2Fs40779-024-00522-x/MediaObjects/40779_2024_522_Fig1_HTML.png\" width=\"685\"/></picture><p>Personalized arterial blood pressure (ABP) management potentially reduces the risk of heart failure (HF) following off-pump coronary artery bypass grafting (CABG). Clinicians in the operating room may face uncertainty regarding the optimal target ABP level to reduce postoperative complications. This research involved monitoring ABP and brain oxygen saturation concurrently in a group of patients undergoing off-pump CABG surgery. Through assessment of continuous cerebral autoregulation, three specifics targets, namely lower limit of autoregulation (LLA), upper limit of autoregulation (ULA), and optimal mean arterial pressure (MAPopt), were identified. The findings indicated a significant association between HF and the degree of ABP falling below the optimal range. COx cerebral oxygen saturation index, AUC area under the curve</p><span>Full size image</span><svg aria-hidden=\"true\" focusable=\"false\" height=\"16\" role=\"img\" width=\"16\"><use xlink:href=\"#icon-eds-i-chevron-right-small\" xmlns:xlink=\"http://www.w3.org/1999/xlink\"></use></svg></figure><p>The data from a total of 555 patients were analyzed and divided into two groups based on the presence or absence of HF, with 85 patients in the HF group and 470 patients in the non-HF group. The mean age of the cohort was 66 years (ranging from 39 to 84 years), with 73.3% male (Additional file 1: Fig. S3, Table S1). The key findings can be summarized as follows. (1) In both the unadjusted model and the model adjusted by age, diabetes, AST/ALT, and log EuroSCORE, a significant association was observed between the degree of MAP falling below the MAPopt and the occurrence of HF after off-pump CABG. Patients in the HF group exhibited higher AUC [24.5 (20.1–29.0) vs. 17.2 (16.1–18.2), <i>P</i> < 0.001] and longer durations of low MAP [(51.1 ± 27.3)% vs. (44.9 ± 28.2)%, <i>P</i> = 0.002] compared to those in the non-HF group (Additional file 1: Fig. S4, Table S2). However, there was no significant correlation observed between MAP < LLA and MAP > ULA with patient outcomes. (2) Compared to the non-HF group, patients in the HF group tended to exhibit higher variability in MAP (standard deviation, <i>P</i> = 0.046) and heart rate variability (<i>P</i> = 0.001), indicating a close relationship between hemodynamic instability and HF, as also noted by Hartono et al. [3]. (3) Furthermore, the study revealed that patients with HF tended to have lower intraoperative rSO<sub>2</sub> levels and reduced left ventricular ejection fraction before surgery. The degree of MAP falling below MAPopt (i.e., MAPopt-MAP) showed a negative relation with cardiac output or stroke volume (Additional file 1: Table S2, Fig. S5), suggesting that reduced cerebral perfusion is closely associated with decreased cardiac output and stroke volume.</p><p>This research underscores the significance of personalized blood pressure management in off-pump CABG surgery, with MAPopt identified as the optimal target to reduce the incidence of postoperative HF. Patients who experience longer duration and larger extent of low blood pressure are at an elevated risk of developing HF after CABG. Therefore, the implementation of a personalized MAP management strategy guided by MAPopt should be considered for off-pump CABG surgery in forthcoming clinical practice.</p><p>The datasets used and analyzed during the current study are available from the corresponding author (xiuyun_liu@tju.edu.cn) on reasonable request.</p><dl><dt style=\"min-width:50px;\"><dfn>ABP:</dfn></dt><dd>\n<p>Arterial blood pressure</p>\n</dd><dt style=\"min-width:50px;\"><dfn>AUC:</dfn></dt><dd>\n<p>Area under the curve</p>\n</dd><dt style=\"min-width:50px;\"><dfn>CA:</dfn></dt><dd>\n<p>Cerebral autoregulation</p>\n</dd><dt style=\"min-width:50px;\"><dfn>CABG:</dfn></dt><dd>\n<p>Coronary artery bypass grafting</p>\n</dd><dt style=\"min-width:50px;\"><dfn>CBF:</dfn></dt><dd>\n<p>Cerebral blood flow</p>\n</dd><dt style=\"min-width:50px;\"><dfn>COx:</dfn></dt><dd>\n<p>Cerebral oxygen saturation index</p>\n</dd><dt style=\"min-width:50px;\"><dfn>LLA:</dfn></dt><dd>\n<p>Lower limit of autoregulation</p>\n</dd><dt style=\"min-width:50px;\"><dfn>MAP:</dfn></dt><dd>\n<p>Mean arterial pressure</p>\n</dd><dt style=\"min-width:50px;\"><dfn>MAPopt:</dfn></dt><dd>\n<p>Optimal mean arterial pressure</p>\n</dd><dt style=\"min-width:50px;\"><dfn>rSO<sub>2</sub> :</dfn></dt><dd>\n<p>Regional cortical oxygen saturation</p>\n</dd><dt style=\"min-width:50px;\"><dfn>ULA:</dfn></dt><dd>\n<p>Upper limit of autoregulation</p>\n</dd></dl><ol data-track-component=\"outbound reference\"><li data-counter=\"1.\"><p>Han Z, Zhang G, Chen Y. 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Auton Neurosci. 2022;237: 102920.</p><p>Article PubMed Google Scholar </p></li><li data-counter=\"10.\"><p>Liu X, Maurits NM, Aries MJH, Czosnyka M, Ercole A, Donnelly J, et al. Monitoring of optimal cerebral perfusion pressure in traumatic brain injured patients using a multi-window weighting algorithm. J Neurotrauma. 2017;34(22):3081–8.</p><p>Article PubMed Google Scholar </p></li></ol><p>Download references<svg aria-hidden=\"true\" focusable=\"false\" height=\"16\" role=\"img\" width=\"16\"><use xlink:href=\"#icon-eds-i-download-medium\" xmlns:xlink=\"http://www.w3.org/1999/xlink\"></use></svg></p><p>The authors thank all the clinicians and doctors in the operating room for assistance with data acquisition.</p><p>This work was supported by grants from the National Key Technologies Research and Development Program (2021YFF1200602), the National Science Fund for Excellent Overseas Scholars (0401260011), the National Defense Science and Technology Innovation Fund of Chinese Academy of Sciences (c02022088), and Tianjin Science and Technology Program (20JCZDJC00810).</p><span>Author notes</span><ol><li><p>Xiu-Yun Liu, Jing-Jing Mu and Jian-Ge Han contributed equally to this work.</p></li></ol><h3>Authors and Affiliations</h3><ol><li><p>Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin, 300072, China</p><p>Xiu-Yun Liu, Jing-Jing Mu, Mei-Jun Pang, Kuo Zhang, Nan Su, Guang-Jian Ni & Dong Ming</p></li><li><p>State Key Laboratory of Advanced Medical Materials and Devices, Tianjin, 300072, China</p><p>Xiu-Yun Liu & Dong Ming</p></li><li><p>Haihe Laboratory of Brain -Computer Interaction and Human-Machine Integration, Tianjin, 300380, China</p><p>Xiu-Yun Liu & Dong Ming</p></li><li><p>Department of Anesthesiology, Tianjin University Chest Hospital, Tianjin Key Laboratory of Cardiovascular Emergency and Critical Care, Tianjin Municipal Science and Technology Bureau, Tianjin, 300222, China</p><p>Jian-Ge Han & Wen-Qian Zhai</p></li><li><p>Department of Cardiac Surgery, Tianjin University Chest Hospital, Tianjin Key Laboratory of Cardiovascular Emergency and Critical Care, Tianjin Municipal Science and Technology Bureau, Tianjin, 300222, China</p><p>Zhi-Gang Guo</p></li></ol><span>Authors</span><ol><li><span>Xiu-Yun Liu</span>View author publications<p>You can also search for this author in <span>PubMed<span> </span>Google Scholar</span></p></li><li><span>Jing-Jing Mu</span>View author publications<p>You can also search for this author in <span>PubMed<span> </span>Google Scholar</span></p></li><li><span>Jian-Ge Han</span>View author publications<p>You can also search for this author in <span>PubMed<span> </span>Google Scholar</span></p></li><li><span>Mei-Jun Pang</span>View author publications<p>You can also search for this author in <span>PubMed<span> </span>Google Scholar</span></p></li><li><span>Kuo Zhang</span>View author publications<p>You can also search for this author in <span>PubMed<span> </span>Google Scholar</span></p></li><li><span>Wen-Qian Zhai</span>View author publications<p>You can also search for this author in <span>PubMed<span> </span>Google Scholar</span></p></li><li><span>Nan Su</span>View author publications<p>You can also search for this author in <span>PubMed<span> </span>Google Scholar</span></p></li><li><span>Guang-Jian Ni</span>View author publications<p>You can also search for this author in <span>PubMed<span> </span>Google Scholar</span></p></li><li><span>Zhi-Gang Guo</span>View author publications<p>You can also search for this author in <span>PubMed<span> </span>Google Scholar</span></p></li><li><span>Dong Ming</span>View author publications<p>You can also search for this author in <span>PubMed<span> </span>Google Scholar</span></p></li></ol><h3>Contributions</h3><p>XYL, DM and ZGG participated in the design of the study. JJM, WQZ and NS carried out data analysis and acquisition. JGH, MJP, KZ, GJN and DM are involved in data interpretation. XYL and JJM wrote the original draft. All authors read and approved the final manuscript.</p><h3>Corresponding authors</h3><p>Correspondence to Xiu-Yun Liu, Zhi-Gang Guo or Dong Ming.</p><h3>Ethics approval and consent to participate</h3>\n<p>This study was approved by the Ethics Committee of Tianjin Chest Hospital (2020YS-022-01). A written consent form was obtained from each patient or the next of kin.</p>\n<h3>Consent for publication</h3>\n<p>Not applicable.</p>\n<h3>Competing interests</h3>\n<p>The authors declare that they have no competing interests.</p><h3><b>Additional file 1:</b></h3><p> Material and Methods. <b>Fig. S1</b> Real-time recording of intraoperative signals. <b>Fig. S2</b> Personalized MAPopt, LLA, and ULA defined a multi-window curve-fitting algorithm. <b>Fig. S3</b> Patient flowchart. <b>Fig. S4</b> Comparison of AUC and time percentage between patients based on the three ABP targets. <b>Fig. S5</b> Relationship between MAPopt-MAP and cardiac output or stroke volume. <b>Table S1</b> Patient details. <b>Table S2</b> The association between the tested parameters and heart failure outcome.</p><p><b>Open Access</b> 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/. The Creative Commons Public Domain Dedication waiver (http://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.</p>\n<p>Reprints and permissions</p><img alt=\"Check for updates. 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0-.92-.08-1.33-.25-.41-.16-.77-.4-1.08-.7-.3-.31-.54-.69-.72-1.13-.17-.44-.26-.95-.26-1.52zm4.61-.62c0-.55-.11-.98-.34-1.28-.23-.31-.58-.47-1.06-.47-.41 0-.77.15-1.08.45-.31.29-.5.73-.57 1.3zm3.01 2.23c.31.24.61.43.92.57.3.13.63.2.98.2.38 0 .65-.08.83-.23s.27-.35.27-.6c0-.14-.05-.26-.13-.37-.08-.1-.2-.2-.34-.28-.14-.09-.29-.16-.47-.23l-.53-.22c-.23-.09-.46-.18-.69-.3-.23-.11-.44-.24-.62-.4s-.33-.35-.45-.55c-.12-.21-.18-.46-.18-.75 0-.61.23-1.1.68-1.49.44-.38 1.06-.57 1.83-.57.48 0 .91.08 1.29.25s.71.36.99.57l-.74.98c-.24-.17-.49-.32-.73-.42-.25-.11-.51-.16-.78-.16-.35 0-.6.07-.76.21-.17.15-.25.33-.25.54 0 .14.04.26.12.36s.18.18.31.26c.14.07.29.14.46.21l.54.19c.23.09.47.18.7.29s.44.24.64.4c.19.16.34.35.46.58.11.23.17.5.17.82 0 .3-.06.58-.17.83-.12.26-.29.48-.51.68-.23.19-.51.34-.84.45-.34.11-.72.17-1.15.17-.48 0-.95-.09-1.41-.27-.46-.19-.86-.41-1.2-.68z" fill="#535353"/></g></svg>\" width=\"57\"/><h3>Cite this article</h3><p>Liu, XY., Mu, JJ., Han, JG. <i>et al.</i> Heart-brain axis: low blood pressure during off-pump CABG surgery is associated with postoperative heart failure. <i>Military Med Res</i> <b>11</b>, 18 (2024). https://doi.org/10.1186/s40779-024-00522-x</p><p>Download citation<svg aria-hidden=\"true\" focusable=\"false\" height=\"16\" role=\"img\" width=\"16\"><use xlink:href=\"#icon-eds-i-download-medium\" xmlns:xlink=\"http://www.w3.org/1999/xlink\"></use></svg></p><ul data-test=\"publication-history\"><li><p>Received<span>: </span><span><time datetime=\"2023-10-04\">04 October 2023</time></span></p></li><li><p>Accepted<span>: </span><span><time datetime=\"2024-03-12\">12 March 2024</time></span></p></li><li><p>Published<span>: </span><span><time datetime=\"2024-03-20\">20 March 2024</time></span></p></li><li><p>DOI</abbr><span>: </span><span>https://doi.org/10.1186/s40779-024-00522-x</span></p></li></ul><h3>Share this article</h3><p>Anyone you share the following link with will be able to read this content:</p><button data-track=\"click\" data-track-action=\"get shareable link\" data-track-external=\"\" data-track-label=\"button\" type=\"button\">Get shareable link</button><p>Sorry, a shareable link is not currently available for this article.</p><p data-track=\"click\" data-track-action=\"select share url\" data-track-label=\"button\"></p><button data-track=\"click\" data-track-action=\"copy share url\" data-track-external=\"\" data-track-label=\"button\" type=\"button\">Copy to clipboard</button><p> Provided by the Springer Nature SharedIt content-sharing initiative </p><h3>Keywords</h3><ul><li><span>Off-pump coronary artery bypass grafting (CABG)</span></li><li><span>Heart failure (HF)</span></li><li><span>Individualized arterial blood pressure (ABP) management</span></li><li><span>Cerebral autoregulation (CA)</span></li><li><span>Optimal ABP</span></li></ul>","PeriodicalId":18581,"journal":{"name":"Military Medical Research","volume":"4 1","pages":""},"PeriodicalIF":16.7000,"publicationDate":"2024-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Heart-brain axis: low blood pressure during off-pump CABG surgery is associated with postoperative heart failure\",\"authors\":\"Xiu-Yun Liu, Jing-Jing Mu, Jian-Ge Han, Mei-Jun Pang, Kuo Zhang, Wen-Qian Zhai, Nan Su, Guang-Jian Ni, Zhi-Gang Guo, Dong Ming\",\"doi\":\"10.1186/s40779-024-00522-x\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>Dear Editor,</p><p>The primary objective of the letter is to emphasize the importance of personalized management of arterial blood pressure (ABP) in the context of off-pump coronary artery bypass grafting (CABG) surgery. Coronary artery disease, a leading global cause of mortality, necessitates a substantial number of cardiac surgeries, with approximately 400,000 CABG operations conducted annually in the United States. Postoperative heart failure (HF) is a common occurrence after CABG surgery, with readmission rates within 30 d due to HF ranging from 12 to 16%. Researchers have highlighted the critical role of HF management before, during and after CABG surgery, identifying hemodynamic instability, perioperative myocardial injury, and low cardiac output syndrome as predictive factors for postoperative HF. In 2023, Han et al. [1] found that factors such as pulse index failure and composite grafting are independent predictors of CABG failure. Additionally, a study reported by Loncar et al. [2] revealed a significant relationship between reduced cerebral blood flow (CBF) and the severity of HF in elderly males. Moreover, Hartono et al. [3] pointed out that perioperative myocardial injury and pre-existing left ventricular systolic dysfunction can contribute to post-CABG HF. In the surgical setting, the reduction of mean arterial pressure (MAP) to minimize collateral bleeding and enhance surgical visualization often leads to low systemic perfusion. Currently, the prevailing approach in CABG surgeries involves a uniform MAP management strategy, typically targeting a range of 60 to 70 mmHg for most patients. However, given the varying clinical backgrounds of patients and their diverse tolerance to low MAP levels, there is an urgent need for personalized MAP management during CABG surgery to ensure adequate blood flow and prevent postoperative complications.</p><p>The brain maintains stable perfusion through cerebral autoregulation (CA), which allows it to regulate CBF despite changes in ABP. Rhee et al. [4] have previously demonstrated that under severe hypoperfusion, the body may prioritize protecting the brain over peripheral organs such as the kidneys. By inducing continuous blood loss in piglets, they observed a reduction in kidney blood flow preceding a decrease in CBF. Previous studies by our researchers and others have established a correlation between low blood pressure and reduced cerebral perfusion during CABG and postoperative complications, including delirium, acute kidney injury, major morbidity, and operative mortality [5,6,7]. However, the specific MAP target most strongly associated with HF remains unknown. Therefore, the hypothesis of our current study is that low MAP and reduced cerebral perfusion to the brain might be a strong indicator of systemic ischemia and HF.</p><p>Various parameters have been developed to monitor intraoperative CA in real-time, including cerebral oxygen saturation index (COx), which is determined by the correlation between MAP and regional cortical oxygen saturation (rSO<sub>2</sub>). COx further facilitates the promotion of personalized MAP management guideline by identifying specific MAP targets, such as the lower limit of autoregulation (LLA), the upper limit of autoregulation (ULA), and optimal mean arterial pressure (MAPopt). In the past several decades, these targets have been examined to prevent postoperative complications after on-pump CABG, but concerns have been raised about the reliability of these findings due to the dampening of blood pressure fluctuations during pump-driven circulation. As pointed out by Claassen et al. [8] and Gelpi et al. [9], the natural variability of MAP is extremely important in CA, emphasizing the dynamic relationship between blood pressure and CBF as a high-pass filter that may be attributed to the slow adaptation (< 0.2 Hz) of cerebral arterioles in response to fast fluctuations of perfusion pressure (< 0.2 Hz). Consequently, there is growing interest in off-pump CABG surgery due to the potential benefits of reduced stroke risk. Further investigation is warranted to establish personalized MAP management for off-pump CABG patients.</p><p>In this study, we have introduced a personalized approach to managing MAP during off-pump CABG surgery to address the aforementioned challenges and the whole process is shown in Fig. 1. Utilizing a sampling frequency of 1 Hz, ABP and brain oxygen saturation (rSO<sub>2</sub>) were concurrently monitored in a group of patients undergoing off-pump CABG at Tianjin Chest Hospital (Tianjin, China), as shown in Additional file 1: Fig. S1. Individualized MAPopt, LLA, and ULA were determined by calculating COx for each patient. A previously established multi-window curve-fitting algorithm was used to construct a “U-shaped” curve (Additional file 1: Fig. S2) [10]. The relationship between the extent of MAP below a certain threshold and patient outcome was assessed by computing area under the curve (AUC) of MAP below MAPopt (or LLA). The AUC for MAP exceed in ULA was also calculated. Additionally, the percentage of time spent with MAP below MAPopt (or LLA) and above ULA was analyzed. Data integration was performed using Matlab software and subsequent analysis was conducted using the software of intensive care monitoring plus (ICM +). For statistics, we used a logistic regression model adjusted for age, diabetes, aspartate aminotransferase/alanine transaminase (AST/ALT) and log EuroSCORE (determined prior to possible confounding variables). For more details, please refer to Additional file 1: Material and methods.</p><figure><figcaption><b data-test=\\\"figure-caption-text\\\">Fig. 1</b></figcaption><picture><source srcset=\\\"//media.springernature.com/lw685/springer-static/image/art%3A10.1186%2Fs40779-024-00522-x/MediaObjects/40779_2024_522_Fig1_HTML.png?as=webp\\\" type=\\\"image/webp\\\"/><img alt=\\\"figure 1\\\" aria-describedby=\\\"Fig1\\\" height=\\\"518\\\" loading=\\\"lazy\\\" src=\\\"//media.springernature.com/lw685/springer-static/image/art%3A10.1186%2Fs40779-024-00522-x/MediaObjects/40779_2024_522_Fig1_HTML.png\\\" width=\\\"685\\\"/></picture><p>Personalized arterial blood pressure (ABP) management potentially reduces the risk of heart failure (HF) following off-pump coronary artery bypass grafting (CABG). Clinicians in the operating room may face uncertainty regarding the optimal target ABP level to reduce postoperative complications. This research involved monitoring ABP and brain oxygen saturation concurrently in a group of patients undergoing off-pump CABG surgery. Through assessment of continuous cerebral autoregulation, three specifics targets, namely lower limit of autoregulation (LLA), upper limit of autoregulation (ULA), and optimal mean arterial pressure (MAPopt), were identified. The findings indicated a significant association between HF and the degree of ABP falling below the optimal range. COx cerebral oxygen saturation index, AUC area under the curve</p><span>Full size image</span><svg aria-hidden=\\\"true\\\" focusable=\\\"false\\\" height=\\\"16\\\" role=\\\"img\\\" width=\\\"16\\\"><use xlink:href=\\\"#icon-eds-i-chevron-right-small\\\" xmlns:xlink=\\\"http://www.w3.org/1999/xlink\\\"></use></svg></figure><p>The data from a total of 555 patients were analyzed and divided into two groups based on the presence or absence of HF, with 85 patients in the HF group and 470 patients in the non-HF group. The mean age of the cohort was 66 years (ranging from 39 to 84 years), with 73.3% male (Additional file 1: Fig. S3, Table S1). The key findings can be summarized as follows. (1) In both the unadjusted model and the model adjusted by age, diabetes, AST/ALT, and log EuroSCORE, a significant association was observed between the degree of MAP falling below the MAPopt and the occurrence of HF after off-pump CABG. Patients in the HF group exhibited higher AUC [24.5 (20.1–29.0) vs. 17.2 (16.1–18.2), <i>P</i> < 0.001] and longer durations of low MAP [(51.1 ± 27.3)% vs. (44.9 ± 28.2)%, <i>P</i> = 0.002] compared to those in the non-HF group (Additional file 1: Fig. S4, Table S2). However, there was no significant correlation observed between MAP < LLA and MAP > ULA with patient outcomes. (2) Compared to the non-HF group, patients in the HF group tended to exhibit higher variability in MAP (standard deviation, <i>P</i> = 0.046) and heart rate variability (<i>P</i> = 0.001), indicating a close relationship between hemodynamic instability and HF, as also noted by Hartono et al. [3]. (3) Furthermore, the study revealed that patients with HF tended to have lower intraoperative rSO<sub>2</sub> levels and reduced left ventricular ejection fraction before surgery. The degree of MAP falling below MAPopt (i.e., MAPopt-MAP) showed a negative relation with cardiac output or stroke volume (Additional file 1: Table S2, Fig. S5), suggesting that reduced cerebral perfusion is closely associated with decreased cardiac output and stroke volume.</p><p>This research underscores the significance of personalized blood pressure management in off-pump CABG surgery, with MAPopt identified as the optimal target to reduce the incidence of postoperative HF. Patients who experience longer duration and larger extent of low blood pressure are at an elevated risk of developing HF after CABG. Therefore, the implementation of a personalized MAP management strategy guided by MAPopt should be considered for off-pump CABG surgery in forthcoming clinical practice.</p><p>The datasets used and analyzed during the current study are available from the corresponding author (xiuyun_liu@tju.edu.cn) on reasonable request.</p><dl><dt style=\\\"min-width:50px;\\\"><dfn>ABP:</dfn></dt><dd>\\n<p>Arterial blood pressure</p>\\n</dd><dt style=\\\"min-width:50px;\\\"><dfn>AUC:</dfn></dt><dd>\\n<p>Area under the curve</p>\\n</dd><dt style=\\\"min-width:50px;\\\"><dfn>CA:</dfn></dt><dd>\\n<p>Cerebral autoregulation</p>\\n</dd><dt style=\\\"min-width:50px;\\\"><dfn>CABG:</dfn></dt><dd>\\n<p>Coronary artery bypass grafting</p>\\n</dd><dt style=\\\"min-width:50px;\\\"><dfn>CBF:</dfn></dt><dd>\\n<p>Cerebral blood flow</p>\\n</dd><dt style=\\\"min-width:50px;\\\"><dfn>COx:</dfn></dt><dd>\\n<p>Cerebral oxygen saturation index</p>\\n</dd><dt style=\\\"min-width:50px;\\\"><dfn>LLA:</dfn></dt><dd>\\n<p>Lower limit of autoregulation</p>\\n</dd><dt style=\\\"min-width:50px;\\\"><dfn>MAP:</dfn></dt><dd>\\n<p>Mean arterial pressure</p>\\n</dd><dt style=\\\"min-width:50px;\\\"><dfn>MAPopt:</dfn></dt><dd>\\n<p>Optimal mean arterial pressure</p>\\n</dd><dt style=\\\"min-width:50px;\\\"><dfn>rSO<sub>2</sub> :</dfn></dt><dd>\\n<p>Regional cortical oxygen saturation</p>\\n</dd><dt style=\\\"min-width:50px;\\\"><dfn>ULA:</dfn></dt><dd>\\n<p>Upper limit of autoregulation</p>\\n</dd></dl><ol data-track-component=\\\"outbound reference\\\"><li data-counter=\\\"1.\\\"><p>Han Z, Zhang G, Chen Y. 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J Neurotrauma. 2017;34(22):3081–8.</p><p>Article PubMed Google Scholar </p></li></ol><p>Download references<svg aria-hidden=\\\"true\\\" focusable=\\\"false\\\" height=\\\"16\\\" role=\\\"img\\\" width=\\\"16\\\"><use xlink:href=\\\"#icon-eds-i-download-medium\\\" xmlns:xlink=\\\"http://www.w3.org/1999/xlink\\\"></use></svg></p><p>The authors thank all the clinicians and doctors in the operating room for assistance with data acquisition.</p><p>This work was supported by grants from the National Key Technologies Research and Development Program (2021YFF1200602), the National Science Fund for Excellent Overseas Scholars (0401260011), the National Defense Science and Technology Innovation Fund of Chinese Academy of Sciences (c02022088), and Tianjin Science and Technology Program (20JCZDJC00810).</p><span>Author notes</span><ol><li><p>Xiu-Yun Liu, Jing-Jing Mu and Jian-Ge Han contributed equally to this work.</p></li></ol><h3>Authors and Affiliations</h3><ol><li><p>Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin, 300072, China</p><p>Xiu-Yun Liu, Jing-Jing Mu, Mei-Jun Pang, Kuo Zhang, Nan Su, Guang-Jian Ni & Dong Ming</p></li><li><p>State Key Laboratory of Advanced Medical Materials and Devices, Tianjin, 300072, China</p><p>Xiu-Yun Liu & Dong Ming</p></li><li><p>Haihe Laboratory of Brain -Computer Interaction and Human-Machine Integration, Tianjin, 300380, China</p><p>Xiu-Yun Liu & Dong Ming</p></li><li><p>Department of Anesthesiology, Tianjin University Chest Hospital, Tianjin Key Laboratory of Cardiovascular Emergency and Critical Care, Tianjin Municipal Science and Technology Bureau, Tianjin, 300222, China</p><p>Jian-Ge Han & Wen-Qian Zhai</p></li><li><p>Department of Cardiac Surgery, Tianjin University Chest Hospital, Tianjin Key Laboratory of Cardiovascular Emergency and Critical Care, Tianjin Municipal Science and Technology Bureau, Tianjin, 300222, China</p><p>Zhi-Gang Guo</p></li></ol><span>Authors</span><ol><li><span>Xiu-Yun Liu</span>View author publications<p>You can also search for this author in <span>PubMed<span> </span>Google Scholar</span></p></li><li><span>Jing-Jing Mu</span>View author publications<p>You can also search for this author in <span>PubMed<span> </span>Google Scholar</span></p></li><li><span>Jian-Ge Han</span>View author publications<p>You can also search for this author in <span>PubMed<span> </span>Google Scholar</span></p></li><li><span>Mei-Jun Pang</span>View author publications<p>You can also search for this author in <span>PubMed<span> </span>Google Scholar</span></p></li><li><span>Kuo Zhang</span>View author publications<p>You can also search for this author in <span>PubMed<span> </span>Google Scholar</span></p></li><li><span>Wen-Qian Zhai</span>View author publications<p>You can also search for this author in <span>PubMed<span> </span>Google Scholar</span></p></li><li><span>Nan Su</span>View author publications<p>You can also search for this author in <span>PubMed<span> </span>Google Scholar</span></p></li><li><span>Guang-Jian Ni</span>View author publications<p>You can also search for this author in <span>PubMed<span> </span>Google Scholar</span></p></li><li><span>Zhi-Gang Guo</span>View author publications<p>You can also search for this author in <span>PubMed<span> </span>Google Scholar</span></p></li><li><span>Dong Ming</span>View author publications<p>You can also search for this author in <span>PubMed<span> </span>Google Scholar</span></p></li></ol><h3>Contributions</h3><p>XYL, DM and ZGG participated in the design of the study. JJM, WQZ and NS carried out data analysis and acquisition. JGH, MJP, KZ, GJN and DM are involved in data interpretation. XYL and JJM wrote the original draft. All authors read and approved the final manuscript.</p><h3>Corresponding authors</h3><p>Correspondence to Xiu-Yun Liu, Zhi-Gang Guo or Dong Ming.</p><h3>Ethics approval and consent to participate</h3>\\n<p>This study was approved by the Ethics Committee of Tianjin Chest Hospital (2020YS-022-01). A written consent form was obtained from each patient or the next of kin.</p>\\n<h3>Consent for publication</h3>\\n<p>Not applicable.</p>\\n<h3>Competing interests</h3>\\n<p>The authors declare that they have no competing interests.</p><h3><b>Additional file 1:</b></h3><p> Material and Methods. <b>Fig. S1</b> Real-time recording of intraoperative signals. <b>Fig. S2</b> Personalized MAPopt, LLA, and ULA defined a multi-window curve-fitting algorithm. <b>Fig. S3</b> Patient flowchart. <b>Fig. S4</b> Comparison of AUC and time percentage between patients based on the three ABP targets. <b>Fig. S5</b> Relationship between MAPopt-MAP and cardiac output or stroke volume. <b>Table S1</b> Patient details. <b>Table S2</b> The association between the tested parameters and heart failure outcome.</p><p><b>Open Access</b> 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/. The Creative Commons Public Domain Dedication waiver (http://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.</p>\\n<p>Reprints and permissions</p><img alt=\\\"Check for updates. 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0-.92-.08-1.33-.25-.41-.16-.77-.4-1.08-.7-.3-.31-.54-.69-.72-1.13-.17-.44-.26-.95-.26-1.52zm4.61-.62c0-.55-.11-.98-.34-1.28-.23-.31-.58-.47-1.06-.47-.41 0-.77.15-1.08.45-.31.29-.5.73-.57 1.3zm3.01 2.23c.31.24.61.43.92.57.3.13.63.2.98.2.38 0 .65-.08.83-.23s.27-.35.27-.6c0-.14-.05-.26-.13-.37-.08-.1-.2-.2-.34-.28-.14-.09-.29-.16-.47-.23l-.53-.22c-.23-.09-.46-.18-.69-.3-.23-.11-.44-.24-.62-.4s-.33-.35-.45-.55c-.12-.21-.18-.46-.18-.75 0-.61.23-1.1.68-1.49.44-.38 1.06-.57 1.83-.57.48 0 .91.08 1.29.25s.71.36.99.57l-.74.98c-.24-.17-.49-.32-.73-.42-.25-.11-.51-.16-.78-.16-.35 0-.6.07-.76.21-.17.15-.25.33-.25.54 0 .14.04.26.12.36s.18.18.31.26c.14.07.29.14.46.21l.54.19c.23.09.47.18.7.29s.44.24.64.4c.19.16.34.35.46.58.11.23.17.5.17.82 0 .3-.06.58-.17.83-.12.26-.29.48-.51.68-.23.19-.51.34-.84.45-.34.11-.72.17-1.15.17-.48 0-.95-.09-1.41-.27-.46-.19-.86-.41-1.2-.68z" fill="#535353"/></g></svg>\\\" width=\\\"57\\\"/><h3>Cite this article</h3><p>Liu, XY., Mu, JJ., Han, JG. <i>et al.</i> Heart-brain axis: low blood pressure during off-pump CABG surgery is associated with postoperative heart failure. <i>Military Med Res</i> <b>11</b>, 18 (2024). https://doi.org/10.1186/s40779-024-00522-x</p><p>Download citation<svg aria-hidden=\\\"true\\\" focusable=\\\"false\\\" height=\\\"16\\\" role=\\\"img\\\" width=\\\"16\\\"><use xlink:href=\\\"#icon-eds-i-download-medium\\\" xmlns:xlink=\\\"http://www.w3.org/1999/xlink\\\"></use></svg></p><ul data-test=\\\"publication-history\\\"><li><p>Received<span>: </span><span><time datetime=\\\"2023-10-04\\\">04 October 2023</time></span></p></li><li><p>Accepted<span>: </span><span><time datetime=\\\"2024-03-12\\\">12 March 2024</time></span></p></li><li><p>Published<span>: </span><span><time datetime=\\\"2024-03-20\\\">20 March 2024</time></span></p></li><li><p>DOI</abbr><span>: </span><span>https://doi.org/10.1186/s40779-024-00522-x</span></p></li></ul><h3>Share this article</h3><p>Anyone you share the following link with will be able to read this content:</p><button data-track=\\\"click\\\" data-track-action=\\\"get shareable link\\\" data-track-external=\\\"\\\" data-track-label=\\\"button\\\" type=\\\"button\\\">Get shareable link</button><p>Sorry, a shareable link is not currently available for this article.</p><p data-track=\\\"click\\\" data-track-action=\\\"select share url\\\" data-track-label=\\\"button\\\"></p><button data-track=\\\"click\\\" data-track-action=\\\"copy share url\\\" data-track-external=\\\"\\\" data-track-label=\\\"button\\\" type=\\\"button\\\">Copy to clipboard</button><p> Provided by the Springer Nature SharedIt content-sharing initiative </p><h3>Keywords</h3><ul><li><span>Off-pump coronary artery bypass grafting (CABG)</span></li><li><span>Heart failure (HF)</span></li><li><span>Individualized arterial blood pressure (ABP) management</span></li><li><span>Cerebral autoregulation (CA)</span></li><li><span>Optimal ABP</span></li></ul>\",\"PeriodicalId\":18581,\"journal\":{\"name\":\"Military Medical 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通过近红外光谱测量肾血管反应性。J Appl Physiol. 2012;113(2):307-14.Article PubMed Google Scholar Ono M, Brady K, Easley RB, Brown C, Kraut M, Gottesman RF, et al.J Thorac Cardiovasc Surg. 2014; 147(1):483-9.Article PubMed Google Scholar Liu X, Donnelly J, Brady KM, Akiyoshi K, Bush B, Koehler RC, et al.比较不同的脑自动调节指标与心脏手术后主要发病率和死亡率的关系。Br J Anaesth. 2022;129(1):22-32.Article PubMed PubMed Central Google Scholar Brown CHT, Neufeld KJ, Tian J, Probert J, LaFlam A, Max L, et al. Effect of targeting mean arterial pressure during cardiopulmonarypass by monitoring cerebral autoregulation on posturgical delirium among older patients: a nested randomized clinical trial.JAMA Surg. 2019; 154(9):819-26.Article PubMed PubMed Central Google Scholar Claassen JA, Meel-van den Abeelen AS, Simpson DM, Panerai RB.动态脑自动调节的传递函数分析:国际脑自动调节研究网络白皮书。J Cereb Blood Flow Metab.2016;36(4):665-80.Article PubMed PubMed Central Google Scholar Gelpi F, Bari V, Cairo B, De Maria B, Tonon D, Rossato G, et al. 容易发生体位性晕厥患者的动态脑血管自动调节:自发变异系列中自动调节指数评估技术的比较。Auton Neurosci.2022;237: 102920.Article PubMed Google Scholar Liu X, Maurits NM, Aries MJH, Czosnyka M, Ercole A, Donnelly J, et al. 使用多窗口加权算法监测脑外伤患者的最佳脑灌注压。J Neurotrauma.2017;34(22):3081-8.Article PubMed Google Scholar Download references作者感谢手术室的所有临床医生和医生对数据采集的协助。这项工作得到了国家关键技术研究发展计划(2021YFF1200602)、国家优秀海外学者科学基金(0401260011)、中国科学院国防科技创新基金(c02022088)和天津市科技计划(20JCZDJC00810)的资助。作者注释刘秀云、穆静静和韩建革对这项工作做出了同等贡献。作者及工作单位天津大学医学工程与转化医学研究院,天津,300072 刘秀云、穆晶晶、庞美君、张阔、苏楠、倪广健 & 董明先进医用材料与器件国家重点实验室,天津,300072 刘秀云 &;董明 海河脑机交互与人机融合实验室,天津,300380 刘秀云 & 董明 天津大学附属胸科医院麻醉科、天津市科技局心血管急救与危重症医学重点实验室,天津,300222 韩建革 &;天津大学附属胸科医院心外科、天津市科技局心血管急危重症重点实验室,天津,300222、ChinaZhi-Gang GuoAuthors Xiu-Yun LiuView Author publicationsYou can also search for this author in PubMed Google ScholarJing-Jing MuView Author publicationsYou can also search for this author in PubMed Google ScholarJian-Ge HanView Author publicationsYou can also search for this author in PubMed Google ScholarMei-Jun PangView Author publicationsYou can also search for this author in PubMed Google ScholarKuo ZhangView Author publicationsYou can also search for this author in PubMed Google ScholarWen-Qian ZhaiView Author publications您也可以在PubMed Google Scholar中搜索该作者Nan SuView Author publications您也可以在PubMed Google Scholar中搜索该作者Guang-Jian NiView Author publications您也可以在PubMed Google Scholar中搜索该作者Zhi-Gang GuoView Author publications您也可以在PubMed Google Scholar中搜索该作者Dong MingView Author publications您也可以在PubMed Google Scholar中搜索该作者ContributionsXYL、DM和ZGG参与了本研究的设计。JJM、WQZ和NS进行了数据分析和采集。JGH、MJP、KZ、GJN和DM参与了数据解释。XYL和JJM撰写了原稿。本研究获得了天津市胸科医院伦理委员会的批准(2020YS-022-01)。同意发表不适用。
Heart-brain axis: low blood pressure during off-pump CABG surgery is associated with postoperative heart failure
Dear Editor,
The primary objective of the letter is to emphasize the importance of personalized management of arterial blood pressure (ABP) in the context of off-pump coronary artery bypass grafting (CABG) surgery. Coronary artery disease, a leading global cause of mortality, necessitates a substantial number of cardiac surgeries, with approximately 400,000 CABG operations conducted annually in the United States. Postoperative heart failure (HF) is a common occurrence after CABG surgery, with readmission rates within 30 d due to HF ranging from 12 to 16%. Researchers have highlighted the critical role of HF management before, during and after CABG surgery, identifying hemodynamic instability, perioperative myocardial injury, and low cardiac output syndrome as predictive factors for postoperative HF. In 2023, Han et al. [1] found that factors such as pulse index failure and composite grafting are independent predictors of CABG failure. Additionally, a study reported by Loncar et al. [2] revealed a significant relationship between reduced cerebral blood flow (CBF) and the severity of HF in elderly males. Moreover, Hartono et al. [3] pointed out that perioperative myocardial injury and pre-existing left ventricular systolic dysfunction can contribute to post-CABG HF. In the surgical setting, the reduction of mean arterial pressure (MAP) to minimize collateral bleeding and enhance surgical visualization often leads to low systemic perfusion. Currently, the prevailing approach in CABG surgeries involves a uniform MAP management strategy, typically targeting a range of 60 to 70 mmHg for most patients. However, given the varying clinical backgrounds of patients and their diverse tolerance to low MAP levels, there is an urgent need for personalized MAP management during CABG surgery to ensure adequate blood flow and prevent postoperative complications.
The brain maintains stable perfusion through cerebral autoregulation (CA), which allows it to regulate CBF despite changes in ABP. Rhee et al. [4] have previously demonstrated that under severe hypoperfusion, the body may prioritize protecting the brain over peripheral organs such as the kidneys. By inducing continuous blood loss in piglets, they observed a reduction in kidney blood flow preceding a decrease in CBF. Previous studies by our researchers and others have established a correlation between low blood pressure and reduced cerebral perfusion during CABG and postoperative complications, including delirium, acute kidney injury, major morbidity, and operative mortality [5,6,7]. However, the specific MAP target most strongly associated with HF remains unknown. Therefore, the hypothesis of our current study is that low MAP and reduced cerebral perfusion to the brain might be a strong indicator of systemic ischemia and HF.
Various parameters have been developed to monitor intraoperative CA in real-time, including cerebral oxygen saturation index (COx), which is determined by the correlation between MAP and regional cortical oxygen saturation (rSO2). COx further facilitates the promotion of personalized MAP management guideline by identifying specific MAP targets, such as the lower limit of autoregulation (LLA), the upper limit of autoregulation (ULA), and optimal mean arterial pressure (MAPopt). In the past several decades, these targets have been examined to prevent postoperative complications after on-pump CABG, but concerns have been raised about the reliability of these findings due to the dampening of blood pressure fluctuations during pump-driven circulation. As pointed out by Claassen et al. [8] and Gelpi et al. [9], the natural variability of MAP is extremely important in CA, emphasizing the dynamic relationship between blood pressure and CBF as a high-pass filter that may be attributed to the slow adaptation (< 0.2 Hz) of cerebral arterioles in response to fast fluctuations of perfusion pressure (< 0.2 Hz). Consequently, there is growing interest in off-pump CABG surgery due to the potential benefits of reduced stroke risk. Further investigation is warranted to establish personalized MAP management for off-pump CABG patients.
In this study, we have introduced a personalized approach to managing MAP during off-pump CABG surgery to address the aforementioned challenges and the whole process is shown in Fig. 1. Utilizing a sampling frequency of 1 Hz, ABP and brain oxygen saturation (rSO2) were concurrently monitored in a group of patients undergoing off-pump CABG at Tianjin Chest Hospital (Tianjin, China), as shown in Additional file 1: Fig. S1. Individualized MAPopt, LLA, and ULA were determined by calculating COx for each patient. A previously established multi-window curve-fitting algorithm was used to construct a “U-shaped” curve (Additional file 1: Fig. S2) [10]. The relationship between the extent of MAP below a certain threshold and patient outcome was assessed by computing area under the curve (AUC) of MAP below MAPopt (or LLA). The AUC for MAP exceed in ULA was also calculated. Additionally, the percentage of time spent with MAP below MAPopt (or LLA) and above ULA was analyzed. Data integration was performed using Matlab software and subsequent analysis was conducted using the software of intensive care monitoring plus (ICM +). For statistics, we used a logistic regression model adjusted for age, diabetes, aspartate aminotransferase/alanine transaminase (AST/ALT) and log EuroSCORE (determined prior to possible confounding variables). For more details, please refer to Additional file 1: Material and methods.
The data from a total of 555 patients were analyzed and divided into two groups based on the presence or absence of HF, with 85 patients in the HF group and 470 patients in the non-HF group. The mean age of the cohort was 66 years (ranging from 39 to 84 years), with 73.3% male (Additional file 1: Fig. S3, Table S1). The key findings can be summarized as follows. (1) In both the unadjusted model and the model adjusted by age, diabetes, AST/ALT, and log EuroSCORE, a significant association was observed between the degree of MAP falling below the MAPopt and the occurrence of HF after off-pump CABG. Patients in the HF group exhibited higher AUC [24.5 (20.1–29.0) vs. 17.2 (16.1–18.2), P < 0.001] and longer durations of low MAP [(51.1 ± 27.3)% vs. (44.9 ± 28.2)%, P = 0.002] compared to those in the non-HF group (Additional file 1: Fig. S4, Table S2). However, there was no significant correlation observed between MAP < LLA and MAP > ULA with patient outcomes. (2) Compared to the non-HF group, patients in the HF group tended to exhibit higher variability in MAP (standard deviation, P = 0.046) and heart rate variability (P = 0.001), indicating a close relationship between hemodynamic instability and HF, as also noted by Hartono et al. [3]. (3) Furthermore, the study revealed that patients with HF tended to have lower intraoperative rSO2 levels and reduced left ventricular ejection fraction before surgery. The degree of MAP falling below MAPopt (i.e., MAPopt-MAP) showed a negative relation with cardiac output or stroke volume (Additional file 1: Table S2, Fig. S5), suggesting that reduced cerebral perfusion is closely associated with decreased cardiac output and stroke volume.
This research underscores the significance of personalized blood pressure management in off-pump CABG surgery, with MAPopt identified as the optimal target to reduce the incidence of postoperative HF. Patients who experience longer duration and larger extent of low blood pressure are at an elevated risk of developing HF after CABG. Therefore, the implementation of a personalized MAP management strategy guided by MAPopt should be considered for off-pump CABG surgery in forthcoming clinical practice.
The datasets used and analyzed during the current study are available from the corresponding author (xiuyun_liu@tju.edu.cn) on reasonable request.
ABP:
Arterial blood pressure
AUC:
Area under the curve
CA:
Cerebral autoregulation
CABG:
Coronary artery bypass grafting
CBF:
Cerebral blood flow
COx:
Cerebral oxygen saturation index
LLA:
Lower limit of autoregulation
MAP:
Mean arterial pressure
MAPopt:
Optimal mean arterial pressure
rSO2 :
Regional cortical oxygen saturation
ULA:
Upper limit of autoregulation
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The authors thank all the clinicians and doctors in the operating room for assistance with data acquisition.
This work was supported by grants from the National Key Technologies Research and Development Program (2021YFF1200602), the National Science Fund for Excellent Overseas Scholars (0401260011), the National Defense Science and Technology Innovation Fund of Chinese Academy of Sciences (c02022088), and Tianjin Science and Technology Program (20JCZDJC00810).
Author notes
Xiu-Yun Liu, Jing-Jing Mu and Jian-Ge Han contributed equally to this work.
Authors and Affiliations
Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin, 300072, China
Xiu-Yun Liu, Jing-Jing Mu, Mei-Jun Pang, Kuo Zhang, Nan Su, Guang-Jian Ni & Dong Ming
State Key Laboratory of Advanced Medical Materials and Devices, Tianjin, 300072, China
Xiu-Yun Liu & Dong Ming
Haihe Laboratory of Brain -Computer Interaction and Human-Machine Integration, Tianjin, 300380, China
Xiu-Yun Liu & Dong Ming
Department of Anesthesiology, Tianjin University Chest Hospital, Tianjin Key Laboratory of Cardiovascular Emergency and Critical Care, Tianjin Municipal Science and Technology Bureau, Tianjin, 300222, China
Jian-Ge Han & Wen-Qian Zhai
Department of Cardiac Surgery, Tianjin University Chest Hospital, Tianjin Key Laboratory of Cardiovascular Emergency and Critical Care, Tianjin Municipal Science and Technology Bureau, Tianjin, 300222, China
Zhi-Gang Guo
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Contributions
XYL, DM and ZGG participated in the design of the study. JJM, WQZ and NS carried out data analysis and acquisition. JGH, MJP, KZ, GJN and DM are involved in data interpretation. XYL and JJM wrote the original draft. All authors read and approved the final manuscript.
Corresponding authors
Correspondence to Xiu-Yun Liu, Zhi-Gang Guo or Dong Ming.
Ethics approval and consent to participate
This study was approved by the Ethics Committee of Tianjin Chest Hospital (2020YS-022-01). A written consent form was obtained from each patient or the next of kin.
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Not applicable.
Competing interests
The authors declare that they have no competing interests.
Additional file 1:
Material and Methods. Fig. S1 Real-time recording of intraoperative signals. Fig. S2 Personalized MAPopt, LLA, and ULA defined a multi-window curve-fitting algorithm. Fig. S3 Patient flowchart. Fig. S4 Comparison of AUC and time percentage between patients based on the three ABP targets. Fig. S5 Relationship between MAPopt-MAP and cardiac output or stroke volume. Table S1 Patient details. Table S2 The association between the tested parameters and heart failure outcome.
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Liu, XY., Mu, JJ., Han, JG. et al. Heart-brain axis: low blood pressure during off-pump CABG surgery is associated with postoperative heart failure. Military Med Res11, 18 (2024). https://doi.org/10.1186/s40779-024-00522-x
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DOI: https://doi.org/10.1186/s40779-024-00522-x
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