脑氧饱和度监测与术后苏醒延迟的相关性研究进展
Research Progress on the Correlation between Cerebral Oxygen Saturation Monitoring and Delayed Postoperative Awakening
摘要: 术后苏醒延迟(Delayed Postoperative Awakening)是全身麻醉或手术后患者未能在预期时间内恢复意识或清醒状态的临床问题,其危害包括神经功能损伤风险增加、术后加速康复(ERAS)受阻、医疗资源负担加重、长期神经认知影响及继发性并发症。术中局部脑氧饱和度(regional cerebral oxygen saturation, rSO2)监测技术基于近红外光谱(NIRS),通过无创、实时评估脑氧供需平衡,可早期预警脑灌注不足和缺氧事件,为预测和干预术后苏醒延迟提供关键依据。本文系统综述了rSO2监测技术的原理、与苏醒延迟的相关性、其在心脏手术、腹腔镜手术及特殊人群(如老年、儿科、肥胖患者)中的应用价值,并探讨其局限性(如个体差异干扰、局部缺血分辨能力不足)及未来发展方向(多模态监测整合、动态阈值优化)。现有证据表明,rSO2监测结合定量脑电图(QEEG)等多参数分析,有望优化围手术期管理策略,改善患者预后。
Abstract: Delayed Postoperative Awakening is a clinical issue where patients fail to regain consciousness or achieve a state of alertness within the expected time frame after general anesthesia or surgery. Its adverse effects include increased risk of neurological damage, disruption of Enhanced Recovery After Surgery (ERAS) protocols, increased burden on medical resources, long-term neurocognitive impacts, and secondary complications. Intraoperative monitoring of regional cerebral oxygen saturation (rSO2), based on Near-Infrared Spectroscopy (NIRS), provides non-invasive, real-time assessment of the cerebral oxygen supply-demand balance. It can serve as an early warning for cerebral hypoperfusion and hypoxic events, offering crucial evidence for predicting and intervening in delayed postoperative awakening. This article systematically reviews the principles of rSO2 monitoring technology, its correlation with delayed awakening, and its application value in cardiac surgery, laparoscopic surgery, and specific patient populations(such as elderly, pediatric, and obese patients). It also discusses its limitations (such as interference from individual differences and insufficient ability to distinguish local ischemia) and future development directions (integration of multimodal monitoring and optimization of dynamic thresholds). Current evidence suggests that combining rSO2 monitoring with multi-parameter analyses, such as quantitative electroencephalography (QEEG), holds promise for optimizing perioperative management strategies and improving patient outcomes.
文章引用:孙浩楠, 张二飞, 兰忠平. 脑氧饱和度监测与术后苏醒延迟的相关性研究进展[J]. 临床医学进展, 2025, 15(6): 1070-1075. https://doi.org/10.12677/acm.2025.1561826

参考文献

[1] Wang, Y., Jiang, Y., Mi, L., Liu, W., Xue, Y., Chen, Y., et al. (2025) Developing Predictive Nomogram Models Using Quantitative Electroencephalography for Brain Function in Type a Aortic Dissection: A Prospective Observational Study. International Journal of Surgery, 111, 2398-2413. [Google Scholar] [CrossRef] [PubMed]
[2] Rambaud, T., Hajage, D., Dreyfuss, D., Lebbah, S., Martin-Lefevre, L., Louis, G., et al. (2024) Renal Replacement Therapy Initiation Strategies in Comatose Patients with Severe Acute Kidney Injury: A Secondary Analysis of a Multicenter Randomized Controlled Trial. Intensive Care Medicine, 50, 385-394. [Google Scholar] [CrossRef] [PubMed]
[3] Feng, F., Kang, H., Yang, Z., Ma, L. and Chen, Y. (2025) Safety and Effectiveness of Inhaled Sedation in Critically Ill Patients: A Systematic Review and Meta-Analysis. Systematic Reviews, 14, Article No. 44. [Google Scholar] [CrossRef] [PubMed]
[4] Le Teurnier, Y., Rozec, B., Degryse, C., Levy, F., Miliani, Y., Godet, G., et al. (2024) Optimization of Cerebral Oxygenation Based on Regional Cerebral Oxygen Saturation Monitoring during Carotid Endarterectomy: A Phase III Multicenter, Double-Blind Randomized Controlled Trial. Anaesthesia Critical Care & Pain Medicine, 43, Article ID: 101388. [Google Scholar] [CrossRef] [PubMed]
[5] Berger, M., Ryu, D., Reese, M., McGuigan, S., Evered, L.A., Price, C.C., et al. (2024) Corrigendum to “A Real-Time Neurophysiologic Stress Test for the Aging Brain: Novel Perioperative and ICU Applications of EEG in Older Surgical Patients” Neurotherapeutics 20(4) (2023) 975-1000. Neurotherapeutics, 21, e00473. [Google Scholar] [CrossRef] [PubMed]
[6] Zhang, Q., Xu, F., Xuan, D., Huang, L., Shi, M., Yue, Z., et al. (2023) Risk Factors for Delayed Recovery in Postanesthesia Care Unit after Surgery: A Large and Retrospective Cohort Study. International Journal of Surgery, 109, 1281-1290. [Google Scholar] [CrossRef] [PubMed]
[7] Zhou, Y., Huang, S., Zhang, T., Deng, D., Huang, L. and Chen, X. (2025) Deciphering Consciousness: The Role of Corticothalamocortical Interactions in General Anesthesia. Pharmacological Research, 212, Article ID: 107593. [Google Scholar] [CrossRef] [PubMed]
[8] Zhou, L., Ran, Q., Yi, R., Tang, H., Zhang, Y. and Yu, T. (2024) Glutamatergic Neurons of Piriform Cortex Delay Induction of Inhalational General Anesthesia. Fundamental Research, 4, 829-840. [Google Scholar] [CrossRef] [PubMed]
[9] Liu, C., Elmer, J., Arefan, D., Pease, M. and Wu, S. (2023) Interpretable Machine Learning Model for Imaging-Based Outcome Prediction after Cardiac Arrest. Resuscitation, 191, Article ID: 109894. [Google Scholar] [CrossRef] [PubMed]
[10] Chen, H., Wang, W., Fu, N., Xia, W., Li, H., Ji, Y., et al. (2024) Characterization of Pancreatic Fistula after Post-Pancreatectomy Acute Pancreatitis. Annals of Surgery. [Google Scholar] [CrossRef] [PubMed]
[11] Bouchereau, E., Marchi, A., Hermann, B., Pruvost-Robieux, E., Guinard, E., Legouy, C., et al. (2023) Quantitative Analysis of Early-Stage EEG Reactivity Predicts Awakening and Recovery of Consciousness in Patients with Severe Brain Injury. British Journal of Anaesthesia, 130, e225-e232. [Google Scholar] [CrossRef] [PubMed]
[12] Pourzand, P., Moore, J., Metzger, A., Salverda, B., Suresh, M., Arango, S., et al. (2024) Hemodynamics, Survival and Neurological Function with Early versus Delayed Automated Head-Up CPR in a Porcine Model of Prolonged Cardiac Arrest. Resuscitation, 194, Article ID: 110067. [Google Scholar] [CrossRef] [PubMed]
[13] Raymond, T.T., Esangbedo, I.D., Rajapreyar, P., Je, S., Zhang, X., Griffis, H.M., et al. (2024) Cerebral Oximetry during Pediatric In-Hospital Cardiac Arrest: A Multicenter Study of Survival and Neurologic Outcome. Critical Care Medicine, 52, 775-785. [Google Scholar] [CrossRef] [PubMed]
[14] Provenzano, M., Cillara, N., Podda, M., Cicalò, E., Sotgiu, G., Fransvea, P., et al. (2024) Association between Patient Activation and Delayed Discharge in Elective Laparoscopic Cholecystectomy: A Prospective Cohort Analysis. International Journal of Nursing Studies, 154, Article ID: 104751. [Google Scholar] [CrossRef] [PubMed]
[15] Soehle, M., Langer, J., Schindler, E., Manekeller, S., Coburn, M. and Thudium, M. (2023) Effect of Extracerebral Contamination on Near-Infrared Spectroscopy as Revealed during Organ Donation: A Prospective Observational Study in Brain-Dead Organ Donors. Anesthesiology, 140, 231-239. [Google Scholar] [CrossRef] [PubMed]
[16] Assadi, A., Chung, F. and Yadollahi, A. (2025) Preoperative Assessment of Patients at Risk of Postoperative Respiratory Depression. Computers in Biology and Medicine, 189, Article ID: 109805. [Google Scholar] [CrossRef] [PubMed]
[17] Ghomrawi, H.M.K., O’Brien, M.K., Carter, M., Macaluso, R., Khazanchi, R., Fanton, M., et al. (2023) Applying Machine Learning to Consumer Wearable Data for the Early Detection of Complications after Pediatric Appendectomy. NPJ Digital Medicine, 6, Article No. 148. [Google Scholar] [CrossRef] [PubMed]
[18] Gottlieb, E.R., Ziegler, J., Morley, K., Rush, B. and Celi, L.A. (2022) Assessment of Racial and Ethnic Differences in Oxygen Supplementation among Patients in the Intensive Care Unit. JAMA Internal Medicine, 182, Article No. 849. [Google Scholar] [CrossRef] [PubMed]
[19] von Wedel, D., Redaelli, S., Wachtendorf, L.J., Ahrens, E., Rudolph, M.I., Shay, D., et al. (2024) Association of Anaesthesia Provider Sex with Perioperative Complications: A Two-Centre Retrospective Cohort Study. British Journal of Anaesthesia, 133, 628-636. [Google Scholar] [CrossRef] [PubMed]
[20] Collette, S.L., Venema, A.M., Eleveld, N., Absalom, A.R., Scheeren, T.W., Verhoeve, S., et al. (2022) Near-Infrared Spectroscopy Monitoring during Endovascular Treatment for Acute Ischaemic Stroke. European Stroke Journal, 7, 384-392. [Google Scholar] [CrossRef] [PubMed]
[21] Flinspach, A.N., Raimann, F.J., Kaiser, P., Pfaff, M., Zacharowski, K., Neef, V., et al. (2024) Volatile versus Propofol Sedation after Cardiac Valve Surgery: A Single-Center Prospective Randomized Controlled Trial. Critical Care, 28, Article No. 111. [Google Scholar] [CrossRef] [PubMed]
[22] Takagi, T., Fujii, T., Nakamura, S., Tsutsumi, Y. and Uezono, S. (2025) Accuracy of Pulse Oximetry and Risk Factors Associated with Discrepancy from Arterial Oxygenation in Asian Patients in the ICU: An Observational Study. Chest. [Google Scholar] [CrossRef] [PubMed]
[23] Richerson, W.T., Schmit, B.D. and Wolfgram, D.F. (2022) The Relationship between Cerebrovascular Reactivity and Cerebral Oxygenation during Hemodialysis. Journal of the American Society of Nephrology, 33, 1602-1612. [Google Scholar] [CrossRef] [PubMed]
[24] Pellegrino, C., Papacci, P., Beccia, F., Serrao, F., Cantone, G.V., Cannetti, G., et al. (2023) Differences in Cerebral Tissue Oxygenation in Preterm Neonates Receiving Adult or Cord Blood Red Blood Cell Transfusions. JAMA Network Open, 6, e2341643. [Google Scholar] [CrossRef] [PubMed]
[25] Butters, E., Srinivasan, S., O’Brien, J.T., Su, L. and Bale, G. (2023) A Promising Tool to Explore Functional Impairment in Neurodegeneration: A Systematic Review of Near-Infrared Spectroscopy in Dementia. Ageing Research Reviews, 90, Article ID: 101992. [Google Scholar] [CrossRef] [PubMed]