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Zhou W, Zhu B, Weng Y, Chen C, Ni J, Shen W, Lan W, Wang J. The Combination of Presurgical Cortical Gray Matter Volumetry and Cerebral Perfusion Improves the Efficacy of Predicting Postoperative Cognitive Impairment of Elderly Patients. Tomography 2024; 10:1379-1396. [PMID: 39330750 PMCID: PMC11435822 DOI: 10.3390/tomography10090104] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2024] [Revised: 08/23/2024] [Accepted: 08/28/2024] [Indexed: 09/28/2024] Open
Abstract
BACKGROUND Postoperative cognitive dysfunction (POCD) is a common complication of the central nervous system in elderly surgical patients. Structural MRI and arterial spin labelling (ASL) techniques found that the grey matter volume and cerebral perfusion in some specific brain areas are associated with the occurrence of POCD, but the results are inconsistent, and the predictive accuracy is low. We hypothesised that the combination of cortical grey matter volumetry and cerebral blood flow yield higher accuracy than either of the methods in discriminating the elderly individuals who are susceptible to POCD after abdominal surgery. MATERIALS AND METHODS Participants underwent neuropsychological testing before and after surgery. Postoperative cognitive dysfunction (POCD) was defined as a decrease in cognitive score of at least 20%. ASL-MRI and T1-weighted imaging were performed before surgery. We compared differences in cerebral blood flow (CBF) and cortical grey matter characteristics between POCD and non-POCD patients and generated receiver operating characteristic curves. RESULTS Out of 51 patients, 9 (17%) were diagnosed with POCD. CBF in the inferior frontal gyrus was lower in the POCD group compared to the non-POCD group (p < 0.001), and the volume of cortical grey matter in the anterior cingulate gyrus was higher in the POCD group (p < 0.001). The highest AUC value was 0.973. CONCLUSIONS The combination of cortical grey matter volumetry and cerebral perfusion based on ASL-MRI has improved efficacy in the early warning of POCD to elderly abdominal surgical patients.
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Affiliation(s)
- Weijian Zhou
- Department of Radiology, The First Affiliated Hospital of Ningbo University, Ningbo 315010, China
- Health Science Centre, Ningbo University, Ningbo 315211, China
| | - Binbin Zhu
- Department of Anaesthesiology, The First Affiliated Hospital of Ningbo University, Ningbo 315010, China
- Health Science Centre, Ningbo University, Ningbo 315211, China
| | - Yifei Weng
- Department of Radiology, The First Affiliated Hospital of Xiamen University, 55 Zhenhai Road, Siming District, Xiamen 361026, China
| | - Chunqu Chen
- Health Science Centre, Ningbo University, Ningbo 315211, China
| | - Jiajing Ni
- Department of Radiology, The First Affiliated Hospital of Ningbo University, Ningbo 315010, China
- Health Science Centre, Ningbo University, Ningbo 315211, China
| | - Wenqi Shen
- Department of Radiology, The First Affiliated Hospital of Ningbo University, Ningbo 315010, China
- Health Science Centre, Ningbo University, Ningbo 315211, China
| | - Wenting Lan
- Department of Radiology, The First Affiliated Hospital of Ningbo University, Ningbo 315010, China
| | - Jianhua Wang
- Department of Radiology, The First Affiliated Hospital of Ningbo University, Ningbo 315010, China
- Department of Radiology, The First Affiliated Hospital of Xiamen University, 55 Zhenhai Road, Siming District, Xiamen 361026, China
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Li Y, Hou S, Li F, Long S, Yang Y, Li Y, Zhao L, Yu Y. Preoperative recovery sleep ameliorates postoperative cognitive dysfunction aggravated by sleep fragmentation in aged mice by enhancing EEG delta-wave activity and LFP theta oscillation in hippocampal CA1. Brain Res Bull 2024; 211:110945. [PMID: 38608544 DOI: 10.1016/j.brainresbull.2024.110945] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2023] [Revised: 03/10/2024] [Accepted: 04/08/2024] [Indexed: 04/14/2024]
Abstract
Sleep fragmentation (SF) is a common sleep problem experienced during the perioperative period by older adults, and is associated with postoperative cognitive dysfunction (POCD). Increasing evidence indicates that delta-wave activity during non-rapid eye movement (NREM) sleep is involved in sleep-dependent memory consolidation and that hippocampal theta oscillations are related to spatial exploratory memory. Recovery sleep (RS), a self-regulated state of sleep homeostasis, enhances delta-wave power and memory performance in sleep-deprived older mice. However, it remains unclear whether RS therapy has a positive effect on cognitive changes following SF in older mouse models. Therefore, this study aimed to explore whether preoperative RS can alleviate cognitive deficits in aged mice with SF. A model of preoperative 24-h SF combined with exploratory laparotomy-induced POCD was established in 18-month-old mice. Aged mice were treated with preoperative 6-h RS following SF and postoperative 6-h RS following surgery, respectively. The changes in hippocampus-dependent cognitive function were investigated using behavioral tests, electroencephalography (EEG), local field potential (LFP), magnetic resonance imaging, and neuromorphology. Mice that underwent 24-h SF combined with surgery exhibited severe spatial memory impairment; impaired cognitive performance could be alleviated by preoperative RS treatment. In addition, preoperative RS increased NREM sleep; enhanced EEG delta-wave activity and LFP theta oscillation in the hippocampal CA1; and improved hippocampal perfusion, microstructural integrity, and neuronal damage. Taken together, these results provide evidence that preoperative RS may ameliorate the severity of POCD aggravated by SF by enhancing delta slow-wave activity and hippocampal theta oscillation, and by ameliorating the reduction in regional cerebral blood flow and white matter microstructure integrity in the hippocampus.
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Affiliation(s)
- Yun Li
- Department of Anesthesiology, Tianjin Medical University General Hospital, Tianjin 300052, China; Tianjin Research Institute of Anesthesiology, Tianjin 300052, China
| | - Shaowei Hou
- School of Biomedical Engineering and Technology, Tianjin Medical University, Tianjin 300070, China
| | - Feixiang Li
- Department of Anesthesiology, Tianjin Medical University General Hospital, Tianjin 300052, China; Tianjin Research Institute of Anesthesiology, Tianjin 300052, China
| | - Siwen Long
- Department of Anesthesiology, Tianjin Medical University General Hospital, Tianjin 300052, China; Tianjin Research Institute of Anesthesiology, Tianjin 300052, China
| | - Yue Yang
- Department of Anesthesiology, Tianjin Medical University General Hospital, Tianjin 300052, China; Tianjin Research Institute of Anesthesiology, Tianjin 300052, China
| | - Yize Li
- Department of Anesthesiology, Tianjin Medical University General Hospital, Tianjin 300052, China; Tianjin Research Institute of Anesthesiology, Tianjin 300052, China
| | - Lina Zhao
- Department of Critical Care Medicine, Tianjin Medical University General Hospital, Tianjin 300052, China.
| | - Yonghao Yu
- Department of Anesthesiology, Tianjin Medical University General Hospital, Tianjin 300052, China; Tianjin Research Institute of Anesthesiology, Tianjin 300052, China.
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Zhang S, Liu C, Sun J, Li Y, Lu J, Xiong X, Hu L, Zhao H, Zhou H. Bridging the Gap: Investigating the Link between Inflammasomes and Postoperative Cognitive Dysfunction. Aging Dis 2023; 14:1981-2002. [PMID: 37450925 PMCID: PMC10676784 DOI: 10.14336/ad.2023.0501] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2022] [Accepted: 05/01/2023] [Indexed: 07/18/2023] Open
Abstract
Postoperative cognitive dysfunction (POCD) is a cluster of cognitive problems that may arise after surgery. POCD symptoms include memory loss, focus inattention, and communication difficulties. Inflammasomes, intracellular multiprotein complexes that control inflammation, may have a significant role in the development of POCD. It has been postulated that the NLRP3 inflammasome promotes cognitive impairment by triggering the inflammatory response in the brain. Nevertheless, there are many gaps in the current literature to understand the underlying pathophysiological mechanisms and develop future therapy. This review article underlines the limits of our current knowledge about the NLRP3 (NOD-, LRR- and pyrin domain-containing protein 3) inflammasome and POCD. We first discuss inflammasomes and their types, structures, and functions, then summarize recent evidence of the NLRP3 inflammasome's involvement in POCD. Next, we propose a hypothesis that suggests the involvement of inflammasomes in multiple organs, including local surgical sites, blood circulation, and other peripheral organs, leading to systemic inflammation and subsequent neuronal dysfunction in the brain, resulting in POCD. Research directions are then discussed, including analyses of inflammasomes in more clinical POCD animal models and clinical trials, studies of inflammasome types that are involved in POCD, and investigations into whether inflammasomes occur at the surgical site, in circulating blood, and in peripheral organs. Finally, we discuss the potential benefits of using new technologies and approaches to study inflammasomes in POCD. A thorough investigation of inflammasomes in POCD might substantially affect clinical practice.
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Affiliation(s)
- Siyu Zhang
- Anesthesiology Department, Zhejiang Chinese Medical University, Hangzhou, China.
- Anesthesiology Department, The Second Hospital of Jiaxing, The Second Affiliated Hospital of Jiaxing University, Jiaxing Key Laboratory of Basic Research and Clinical Transformation of Perioperative Precision Anesthesia, Jiaxing, China.
| | - Cuiying Liu
- School of Nursing, Capital Medical University, Beijing, China.
- Beijing Institute of Brain Disorders, Laboratory of Brain Disorders, Ministry of Science and Technology, Joint Innovation Center for Brain Disorders, Capital Medical University, Beijing, China.
| | - Jintao Sun
- Anesthesiology Department, Zhejiang Chinese Medical University, Hangzhou, China.
- Anesthesiology Department, The Second Hospital of Jiaxing, The Second Affiliated Hospital of Jiaxing University, Jiaxing Key Laboratory of Basic Research and Clinical Transformation of Perioperative Precision Anesthesia, Jiaxing, China.
| | - Yang Li
- Anesthesiology Department, Zhejiang Chinese Medical University, Hangzhou, China.
- Anesthesiology Department, The Second Hospital of Jiaxing, The Second Affiliated Hospital of Jiaxing University, Jiaxing Key Laboratory of Basic Research and Clinical Transformation of Perioperative Precision Anesthesia, Jiaxing, China.
| | - Jian Lu
- Anesthesiology Department, The Second Hospital of Jiaxing, The Second Affiliated Hospital of Jiaxing University, Jiaxing Key Laboratory of Basic Research and Clinical Transformation of Perioperative Precision Anesthesia, Jiaxing, China.
| | - Xiaoxing Xiong
- Department of Neurosurgery, Renmin Hospital of Wuhan University, Wuhan, China
| | - Li Hu
- Anesthesiology Department, The Second Hospital of Jiaxing, The Second Affiliated Hospital of Jiaxing University, Jiaxing Key Laboratory of Basic Research and Clinical Transformation of Perioperative Precision Anesthesia, Jiaxing, China.
| | - Heng Zhao
- Anesthesiology Department, The Second Hospital of Jiaxing, The Second Affiliated Hospital of Jiaxing University, Jiaxing Key Laboratory of Basic Research and Clinical Transformation of Perioperative Precision Anesthesia, Jiaxing, China.
- Beijing Institute of Brain Disorders, Laboratory of Brain Disorders, Ministry of Science and Technology, Joint Innovation Center for Brain Disorders, Capital Medical University, Beijing, China.
| | - Hongmei Zhou
- Anesthesiology Department, Zhejiang Chinese Medical University, Hangzhou, China.
- Anesthesiology Department, The Second Hospital of Jiaxing, The Second Affiliated Hospital of Jiaxing University, Jiaxing Key Laboratory of Basic Research and Clinical Transformation of Perioperative Precision Anesthesia, Jiaxing, China.
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Zhang J, Basnet D, Du X, Yang J, Liu J, Wu F, Zhang X, Liu J. Does cognitive frailty predict delayed neurocognitive recovery after noncardiac surgery in frail elderly individuals? Probably not. Front Aging Neurosci 2022; 14:995781. [DOI: 10.3389/fnagi.2022.995781] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2022] [Accepted: 10/05/2022] [Indexed: 11/17/2022] Open
Abstract
IntroductionDelayed neurocognitive recovery (DNR) is a common post-surgical complication among the elderly. Cognitive frailty (CF) is also an age-related medical syndrome. However, little is known about the association between CF and DNR. Therefore, this study aimed to study whether CF is associated with DNR in elderly patients undergoing elective noncardiac surgery, as well as to explore the potential risk factors for DNR in frail elderly individuals and construct a prediction model.MethodsThis prospective cohort study administered a battery of cognitive and frailty screening instruments for 146 individuals (≥65 years old) scheduled for elective noncardiac surgery. Screening for CF was performed at least one day before surgery, and tests for the presence of DNR were performed seven days after surgery. The association between CF and DNR was investigated. Moreover, the study subjects were randomly divided into a modeling group (70%) and a validation group (30%). Univariate and multivariate logistic regression was performed to analyze the modeling group data and identify the independent risk factors for DNR. The R software was used to construct DNR's nomogram model, verifying the model.ResultsIn total, 138 individuals were eligible. Thirty-three cases were diagnosed with DNR (23.9%). No significant difference in the number of patients with CF was observed between the DNR and non-DNR groups (P > 0.05). Multivariate analysis after adjusting relevant risk factors showed that only the judgment of line orientation (JLOT) test score significantly affected the incidence of DNR. After internal validation of the constructed DNR prediction model, the area under the curve (AUC) of the forecast probability for the modeling population (n = 97) for DNR was 0.801, and the AUC for the validation set (n = 41) was 0.797. The calibration curves of both the modeling and validation groups indicate that the prediction model has good stability.ConclusionCognitive frailty is not an independent risk factor in predicting DNR after noncardiac surgery in frail elderly individuals. The preoperative JLOT score is an independent risk factor for DNR in frail elderly individuals. The prediction model has a good degree of discrimination and calibration, which means that it can individually predict the risk probability of DNR in frail elderly individuals.
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Ji L, Li F. Potential Markers of Neurocognitive Disorders After Cardiac Surgery: A Bibliometric and Visual Analysis. Front Aging Neurosci 2022; 14:868158. [PMID: 35721025 PMCID: PMC9199578 DOI: 10.3389/fnagi.2022.868158] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2022] [Accepted: 04/20/2022] [Indexed: 12/11/2022] Open
Abstract
Background Identifying useful markers is essential for diagnosis and prevention of perioperative neurocognitive disorders (PNDs). Here, we attempt to understand the research basis and status, potential hotspots and trends of predictive markers associated with PNDs after cardiac surgery via bibliometric analysis. Methods A total of 4,609 original research articles and reviews that cited 290 articles between 2001 and 2021 were obtained from the Web of Science Core Collection (WoSCC) as the data source. We used the software CiteSpace to generate and analyze visual networks of bibliographic information, including published years and journals, collaborating institutions, co-cited references, and co-occurring keywords. Results The number of annual and cumulative publications from 2001 to 2021 has been increasing on the whole. The Harvard Medical School was a very prolific and important institution in this field. The journal of Ann Thorac Surg (IF 4.33) had the most publications, while New Engl J Med was the most cited journal. Neuron-specific enolase (NSE), S100b and kynurenic acid (KYNA) were frequently discussed as possible markers of PNDs in many references. Cardiopulmonary bypass (CPB) was a keyword with high frequency (430) and sigma (6.26), and inflammation was the most recent burst keyword. Conclusion Potential markers of PNDs has received growing attention across various disciplines for many years. The research basis mainly focuses on three classic biomarkers of S100b, NSE, and KYNA. The most active frontiers are the inflammation-related biomarkers (e.g., inflammatory cells, cytokines, or mediators) and surgery-related monitoring parameters (e.g., perfusion, oxygen saturation, and the depth of anesthesia).
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