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Chapter 12 - Biomarkers of Postoperative Cognitive Dysfunction: Finding the Signal amid the Noise

from Section 3 - Symptomatology and Diagnosis for the Perioperative Neurocognitive Disorders

Published online by Cambridge University Press:  11 April 2019

Roderic G. Eckenhoff
Affiliation:
University of Pennsylvania
Niccolò Terrando
Affiliation:
Duke University, North Carolina
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Publisher: Cambridge University Press
Print publication year: 2019

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References

Berger, M, Nadler, JW, Browndyke, J, et al. Postoperative cognitive dysfunction: minding the gaps in our knowledge of a common postoperative complication in the elderly. Anesthesiology Clinics. 2015;33(3):517550.Google Scholar
Biomarkers Definitions Working Group. Biomarkers and surrogate endpoints: preferred definitions and conceptual framework. Clinical Pharmacology and Therapeutics. 2001;69(3):8995.CrossRefGoogle Scholar
Chen, Y, Bidwell, LC, Norton, D. Trait vs. state markers for schizophrenia: identification and characterization through visual processes. Current Psychiatry Reviews. 2006;2(4):431438.Google Scholar
Cheng, Q, Wang, J, Wu, A, Zhang, R, Li, L, Yue, Y. Can urinary excretion rate of 8-isoprostrane and malonaldehyde predict postoperative cognitive dysfunction in aging? Neurological Sciences. 2013;34(9):16651669.Google Scholar
Zhang, Y-H, Guo, X-H, Zhang, Q-M, Yan, G-T, Wang, T-L. Serum CRP and urinary trypsin inhibitor implicate postoperative cognitive dysfunction especially in elderly patients. International Journal of Neuroscience. 2015;125(7):501506.Google Scholar
Wu, Y, Wang, J, Wu, A, Yue, Y. Do fluctuations in endogenous melatonin levels predict the occurrence of postoperative cognitive dysfunction (POCD)? International Journal of Neuroscience. 2014;124(11):787791.Google Scholar
Balan, S, Leibovitz, A, Zila, SO, et al. The relation between the clinical subtypes of delirium and the urinary level of 6-SMT. Journal of Neuropsychiatry and Clinical Neuroscience. 2003;15(3):363366.Google Scholar
de Jonghe, A, van Munster, BC, Goslings, JC, et al. Effect of melatonin on incidence of delirium among patients with hip fracture: a multicentre, double-blind randomized controlled trial. CMAJ. 2014;186(14):E547–E556.Google Scholar
Linstedt, U, Meyer, O, Kropp, P, Berkau, A, Tapp, E, Zenz, M. Serum concentration of S-100 protein in assessment of cognitive dysfunction after general anesthesia in different types of surgery. Acta Anaesthesiologica Scandinavica. 2002;46(4):384389.Google Scholar
Li, YC, Xi, CH, An, YF, Dong, WH, Zhou, M. Perioperative inflammatory response and protein S-100beta concentrations – relationship with post-operative cognitive dysfunction in elderly patients. Acta Anaesthesiologica Scandinavica. 2012;56(5):595600.Google Scholar
Rohan, D, Buggy, DJ, Crowley, S, et al. Increased incidence of postoperative cognitive dysfunction 24 hr after minor surgery in the elderly. Canadian Journal of Anaesthesia/Journal canadian d’anesthesie. 2005;52(2):137142.Google Scholar
Iohom, G, Szarvas, S, Larney, V, et al. Perioperative plasma concentrations of stable nitric oxide products are predictive of cognitive dysfunction after laparoscopic cholecystectomy. Anesthesia & Analgesia. 2004;99(4):12451252.Google Scholar
Evered, L, Silbert, B, Scott, DA, Zetterberg, H, Blennow, K. Association of changes in plasma neurofilament light and tau levels with anesthesia and surgery: results from the CAPACITY and ARCADIAN studies. JAMA Neurology. 2018;75(5):542547.doi:10.1001/jamaneurol.2017.4913.Google Scholar
Vasunilashorn, SM, Ngo, L, Inouye, SK, et al. Cytokines and postoperative delirium in older patients undergoing major elective surgery. Journals of Gerontology, Series A. 2015;70(10):12891295.Google Scholar
Lin, GX, Wang, T, Chen, MH, Hu, ZH, Ouyang, W. Serum high-mobility group box 1 protein correlates with cognitive decline after gastrointestinal surgery. Acta Anaesthesiologica Scandinavica. 2014;58(6):668674.Google Scholar
Li, X, Wen, D-X, Zhao, Y-H, Hang, Y-N, Mandell, MS. Increase of beta-amyloid and C-reactive protein in liver transplant recipients with postoperative cognitive dysfunction. Hepatobiliary and Pancreatic Diseases International. 2013;12(4):370376.Google Scholar
Li, Y, He, R, Chen, S, Qu, Y. Effect of dexmedetomidine on early postoperative cognitive dysfunction and peri-operative inflammation in elderly patients undergoing laparoscopic cholecystectomy. Experimental and Therapeutic Medicine. 2015;10(5):16351642.Google Scholar
Zhang, Q, Li, S, Feng, C, et al. Serum proteomics of early postoperative cognitive dysfunction in elderly patients. Chinese Medical Journal. 2012;125(14):24552461.Google ScholarPubMed
Harmon, D, Eustace, N, Ghori, K, et al. Plasma concentrations of nitric oxide products and cognitive dysfunction following coronary artery bypass surgery. European Journal of Anaesthesiology. 2005;22(4):269276.Google Scholar
Twomey, C, Corrigan, M, Burlacu, C, Butler, M, Iohom, G, Shorten, G. Nitric oxide index is not a predictor of cognitive dysfunction following laparotomy. Journal of Clinical Anesthesia. 2010;22(1):2228.Google Scholar
Nakamura, A, Kaneko, N, Villemagne, VL, et al. High performance plasma amyloid-β biomarkers for Alzheimer’s disease. Nature. 2018;554(7691):249254.Google Scholar
Simon, MJ, Iliff, JJ. Regulation of cerebrospinal fluid (CSF) flow in neurodegenerative, neurovascular and neuroinflammatory disease. Biochimica et Biophysica Acta. 2016;1862(3):442451.Google Scholar
Zetterberg, H, Hietala, MA, Jonsson, M, et al. Neurochemical aftermath of amateur boxing. Archives of Neurology. 2006;63(9):12771280.Google Scholar
Berger, M. The effect of propofol versus isoflurane anesthesia on human CSF markers of Alzheimer’s disease: results of a randomized trial. Journal of Alzheimers Disease. 2016;52:12991310.Google Scholar
Tang, JX, Baranov, D, Hammond, M, Shaw, LM, Eckenhoff, MF, Eckenhoff, RG. Human Alzheimer and inflammation biomarkers after anesthesia and surgery. Anesthesiology. 2011;115(4):727732.Google Scholar
Anckarsater, R, Anckarsater, H, Bromander, S, Blennow, K, Wass, C, Zetterberg, H. Non-neurological surgery and cerebrospinal fluid biomarkers for neuronal and astroglial integrity. Journal of Neural Transmission. 2014;121(6):649653.Google Scholar
Palotas, A, Reis, HJ, Bogats, G, et al. Coronary artery bypass surgery provokes Alzheimer’s disease-like changes in the cerebrospinal fluid. Journal of Alzheimers Disease. 2010;21(4):11531164.Google Scholar
Ji, MH, Yuan, HM, Zhang, GF, et al. Changes in plasma and cerebrospinal fluid biomarkers in aged patients with early postoperative cognitive dysfunction following total hip-replacement surgery. Journal of Anesthesia. 2013;27(2):236242.Google Scholar
Xie, Z, McAuliffe, S, Swain, CA, et al. Cerebrospinal fluid aβ to tau ratio and postoperative cognitive change. Annals of Surgery. 2013;258(2):364369.Google Scholar
Xie, Z, Swain, CA, Ward, SA, et al. Preoperative cerebrospinal fluid beta-Amyloid/Tau ratio and postoperative delirium. Annals of Clinical and Translational Neurology. 2014;1(5):319328.Google Scholar
Evered, L, Silbert, B, Scott, DA, Ames, D, Maruff, P, Blennow, K. Cerebrospinal fluid biomarker for Alzheimer disease predicts postoperative cognitive dysfunction. Anesthesiology. 2016;124(2):353361.CrossRefGoogle ScholarPubMed
Buvanendran, A, Kroin, JS, Berger, RA, et al. Upregulation of prostaglandin E2 and interleukins in the central nervous system and peripheral tissue during and after surgery in humans. Anesthesiology. 2006;104(3):403410.Google Scholar
Bromander, S, Anckarsater, R, Kristiansson, M, et al. Changes in serum and cerebrospinal fluid cytokines in response to non-neurological surgery: an observational study. Journal of Neuroinflammation. 2012;9:242.Google Scholar
Yeager, MP, Lunt, P, Arruda, J, Whalen, K, Rose, R, DeLeo, JA. Cerebrospinal fluid cytokine levels after surgery with spinal or general anesthesia. Regional Anesthesia and Pain Medicine. 1999;24(6):557562.Google Scholar
Mathew, JP, Podgoreanu, MV, Grocott, HP, et al. Genetic variants in P-selectin and C-reactive protein influence susceptibility to cognitive decline after cardiac surgery. Journal of the American College of Cardiology. 2007;49(19):19341942.Google Scholar
McDonagh, DL, Mathew, JP, White, WD, et al. Cognitive function after major noncardiac surgery, apolipoprotein E4 genotype, and biomarkers of brain injury. Anesthesiology. 2010;112(4):852859.Google Scholar
Laskowitz, DT, Vitek, MP. Apolipoprotein E and neurological disease: therapeutic potential and pharmacogenomic interactions. Pharmacogenomics. 2007;8(8):959969.Google Scholar
Schenning, KJ, Murchison, CF, Mattek, NC, Silbert, LC, Kaye, JA, Quinn, JF. Surgery is associated with ventricular enlargement as well as cognitive and functional decline. Alzheimer’s and Dementia. 2015;5:590597.Google Scholar
Berger, M, Burke, J, Eckenhoff, R, Mathew, J. Alzheimer’s disease, anesthesia, and surgery: a clinically focused review. Journal of Cardiothoracic and Vascular Anesthesia. 2014;28:16091623.Google Scholar
Radtke, FM, Franck, M, Lendner, J, Kruger, S, Wernecke, KD, Spies, CD. Monitoring depth of anaesthesia in a randomized trial decreases the rate of postoperative delirium but not postoperative cognitive dysfunction. British Journal of Anaesthesia. 2013;110 Suppl 1:98105.Google Scholar
Chan, MT, Cheng, BC, Lee, TM, Gin, T, CODA Trial, Group. BIS-guided anesthesia decreases postoperative delirium and cognitive decline. Journal of Neurosurgical Anesthesiology. 2013;25(1):3342.Google Scholar
Sieber, FE, Zakriya, KJ, Gottschalk, A, et al. Sedation depth during spinal anesthesia and the development of postoperative delirium in elderly patients undergoing hip fracture repair. Mayo Clinic Proceedings. 2010;85(1):1826.Google Scholar
Andresen, JM, Girard, TD, Pandharipande, PP, Davidson, MA, Ely, EW, Watson, PL. Burst suppression on processed electroencephalography as a predictor of postcoma delirium in mechanically ventilated ICU patients. Critical Care Medicine. 2014;42(10):22442251.Google Scholar
Soehle, M, Dittmann, A, Ellerkmann, RK, Baumgarten, G, Putensen, C, Guenther, U. Intraoperative burst suppression is associated with postoperative delirium following cardiac surgery: a prospective, observational study. BMC Anesthesiology. 2015;15:61.Google Scholar
Deiner, S, Luo, X, Silverstein, JH, Sano, M. Can intraoperative processed EEG predict postoperative cognitive dysfunction in the elderly? Clinical Therapeutics. 2015;37(12):27002705.Google Scholar
Purdon, PL, Sampson, A, Pavone, KJ, Brown, EN. Clinical electroencephalography for anesthesiologists: Part I: Background and basic signatures. Anesthesiology. 2015;123(4):937960.Google Scholar
Purdon, PL, Pavone, KJ, Akeju, O, et al. The ageing brain: age-dependent changes in the electroencephalogram during propofol and sevoflurane general anaesthesia. British Journal of Anaesthesia. 2015;115 Suppl 1:4657.Google Scholar
McDonagh, DL, Berger, M, Mathew, JP, Graffagnino, C, Milano, CA, Newman, MF. Neurological complications of cardiac surgery. Lancet Neurology. 2014;13(5):490502.Google Scholar
Price, CC, Tanner, JJ, Schmalfuss, I, et al. A pilot study evaluating presurgery neuroanatomical biomarkers for postoperative cognitive decline after total knee arthroplasty in older adults. Anesthesiology. 2014;120(3):601613.Google Scholar
Browndyke, J. Postoperative changes in resting-state functional connectivity and cognition following major cardiac surgery in older adults: preliminary findings. Journal of the American Geriatrics Society. 2017;65:612.Google Scholar
Farag, E, Chelune, GJ, Schubert, A, Mascha, EJ. Is depth of anesthesia, as assessed by the Bispectral Index, related to postoperative cognitive dysfunction and recovery? Anesthesia & Analgesia. 2006;103(3):633640.Google Scholar
Gerriets, T, Schwarz, N, Bachmann, G, et al. Evaluation of methods to predict early long-term neurobehavioral outcome after coronary artery bypass grafting. American Journal of Cardiology. 2010;105(8):10951101.CrossRefGoogle ScholarPubMed

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