Intra-operative electroencephalogram frontal alpha-band spectral analysis and postoperative delirium in cardiac surgery

BACKGROUND Postoperative delirium (POD) remains a frequent complication after cardiac surgery, with pre-operative cognitive status being one of the main predisposing factors. However, performing complete pre-operative neuropsychological testing is challenging. The magnitude of frontal electroencephalographic (EEG) α oscillations during general anaesthesia has been related to pre-operative cognition and could constitute a functional marker for brain vulnerability. OBJECTIVE We hypothesised that features of intra-operative α-band activity could predict the occurrence of POD. DESIGN Single-centre prospective observational study. SETTING University hospital, from 15 May 2019 to 15 December 2021. PATIENTS Adult patients undergoing elective cardiac surgery. MAIN OUTCOME MEASURES Pre-operative cognitive status was assessed by neuropsychological tests and scored as a global z score. A 5-min EEG recording was obtained 30 min after induction of anaesthesia. Anaesthesia was maintained with sevoflurane. Power and peak frequency in the α-band were extracted from the frequency spectra. POD was assessed using the Confusion Assessment Method for Intensive Care Unit, the Confusion Assessment Method and a chart review. RESULTS Sixty-five (29.5%) of 220 patients developed POD. Delirious patients were significantly older with median [IQR] ages of 74 [64 to 79] years vs. 67 [59 to 74] years; P < 0.001) and had lower pre-operative cognitive z scores (−0.52 ± 1.14 vs. 0.21 ± 0.84; P < 0.001). Mean α power (−14.03 ± 4.61 dB vs. −11.59 ± 3.37 dB; P < 0.001) and maximum α power (−11.36 ± 5.28 dB vs. −8.85 ± 3.90 dB; P < 0.001) were significantly lower in delirious patients. Intra-operative mean α power was significantly associated with the probability of developing POD (adjusted odds ratio, 0.88; 95% confidence interval (CI), 0.81 to 0.96; P = 0.007), independently of age and only whenever cognitive status was not considered. CONCLUSION A lower intra-operative frontal α-band power is associated with a higher incidence of POD after cardiac surgery. Intra-operative measures of α power could constitute a means of identifying patients at risk of this complication. TRIAL REGISTRATION NCT03706989.

[1]  E. Brown,et al.  Perioperative Electroencephalogram Spectral Dynamics Related to Postoperative Delirium in Older Patients , 2021, Anesthesia and analgesia.

[2]  Juan Luo,et al.  Risk factors of postoperative delirium after cardiac surgery: a meta-analysis , 2021, Journal of Cardiothoracic Surgery.

[3]  J. Sleigh,et al.  Comorbidity-dependent changes in alpha and broadband encephalogram power during general anaesthesia for cardiac surgery. , 2020, British journal of anaesthesia.

[4]  E. Brown,et al.  Low Frontal Alpha Power Is Associated With the Propensity for Burst Suppression: An Electroencephalogram Phenotype for a "Vulnerable Brain". , 2020, Anesthesia and analgesia.

[5]  George S. Plummer,et al.  Electroencephalogram Burst-suppression during Cardiopulmonary Bypass in Elderly Patients Mediates Postoperative Delirium , 2020, Anesthesiology.

[6]  J. Egaña,et al.  Intraoperative Low Alpha Power in the Electroencephalogram Is Associated With Postoperative Subsyndromal Delirium , 2019, Front. Syst. Neurosci..

[7]  E. Brown,et al.  Cognitive Impairment Is Associated with Absolute Intraoperative Frontal α-Band Power but Not with Baseline α-Band Power: A Pilot Study , 2019, Dementia and Geriatric Cognitive Disorders.

[8]  A. Denault,et al.  Patient management algorithm combining processed electroencephalographic monitoring with cerebral and somatic near-infrared spectroscopy: a case series , 2019, Canadian Journal of Anesthesia/Journal canadien d'anesthésie.

[9]  J. Maldonado Delirium pathophysiology: An updated hypothesis of the etiology of acute brain failure , 2018, International journal of geriatric psychiatry.

[10]  Jeffrey N. Browndyke,et al.  Recommendations for the nomenclature of cognitive change associated with anaesthesia and surgery—2018 , 2018, Anesthesiology.

[11]  G. Sanson,et al.  Delirium after cardiac surgery. Incidence, phenotypes, predisposing and precipitating risk factors, and effects , 2018, Heart & lung : the journal of critical care.

[12]  Bradley A. Fritz,et al.  Intraoperative electroencephalogram suppression at lower volatile anaesthetic concentrations predicts postoperative delirium occurring in the intensive care unit , 2018, British journal of anaesthesia.

[13]  M. Seeberger,et al.  Independent Predictors of the Duration and Overall Burden of Postoperative Delirium After Cardiac Surgery in Adults: An Observational Cohort Study. , 2017, Journal of cardiothoracic and vascular anesthesia.

[14]  S. Jaber,et al.  The CAM-ICU has now a French "official" version. The translation process of the 2014 updated Complete Training Manual of the Confusion Assessment Method for the Intensive Care Unit in French (CAM-ICU.fr). , 2017, Anaesthesia, critical care & pain medicine.

[15]  L. Evered Predicting delirium: are we there yet? , 2017, British journal of anaesthesia.

[16]  Emery N Brown,et al.  Thalamocortical synchronization during induction and emergence from propofol-induced unconsciousness , 2017, Proceedings of the National Academy of Sciences.

[17]  J. Sleigh,et al.  Changes in Alpha Frequency and Power of the Electroencephalogram during Volatile-Based General Anesthesia , 2017, Front. Syst. Neurosci..

[18]  Jeffrey N. Browndyke,et al.  Intraoperative Frontal Alpha-Band Power Correlates with Preoperative Neurocognitive Function in Older Adults , 2017, Front. Syst. Neurosci..

[19]  H. Kehlet,et al.  European Society of Anaesthesiology evidence-based and consensus-based guideline on postoperative delirium , 2017, European journal of anaesthesiology.

[20]  Andrea Dworkin,et al.  A Simple Tool to Predict Development of Delirium After Elective Surgery , 2016, Journal of the American Geriatrics Society.

[21]  Ali Hashemi,et al.  Characterizing Population EEG Dynamics throughout Adulthood , 2016, eNeuro.

[22]  E. Marcantonio,et al.  Effect of Delirium and Other Major Complications on Outcomes After Elective Surgery in Older Adults. , 2015, JAMA surgery.

[23]  E. Brown,et al.  Clinical Electroencephalography for Anesthesiologists: Part I Background and Basic Signatures , 2015, Anesthesiology.

[24]  E N Brown,et al.  The Ageing Brain: Age-dependent changes in the electroencephalogram during propofol and sevoflurane general anaesthesia. , 2015, British journal of anaesthesia.

[25]  C. Putensen,et al.  Intraoperative burst suppression is associated with postoperative delirium following cardiac surgery: a prospective, observational study , 2015, BMC Anesthesiology.

[26]  E. Brown,et al.  Effects of Sevoflurane and Propofol on Frontal Electroencephalogram Power and Coherence , 2014, Anesthesiology.

[27]  Charles H. Brown Delirium in the cardiac surgical ICU , 2014, Current opinion in anaesthesiology.

[28]  A. MacLullich,et al.  Validation of the 4AT, a new instrument for rapid delirium screening: a study in 234 hospitalised older people , 2014, Age and ageing.

[29]  E. Brown,et al.  Thalamocortical Mechanisms for the Anteriorization of Alpha Rhythms during Propofol-Induced Unconsciousness , 2013, The Journal of Neuroscience.

[30]  E. Brown,et al.  The aging brain and anesthesia , 2013, Current opinion in anaesthesiology.

[31]  Claudio Babiloni,et al.  Resting state cortical electroencephalographic rhythms are related to gray matter volume in subjects with mild cognitive impairment and Alzheimer's disease , 2013, Human brain mapping.

[32]  Sacha Jennifer van Albada,et al.  Age trends and sex differences of alpha rhythms including split alpha peaks , 2011, Clinical Neurophysiology.

[33]  G. Bettelli Preoperative evaluation in geriatric surgery: comorbidity, functional status and pharmacological history. , 2011, Minerva anestesiologica.

[34]  P. Eikelenboom,et al.  Delirium in elderly patients and the risk of postdischarge mortality, institutionalization, and dementia: a meta-analysis. , 2010, JAMA.

[35]  M. Newman,et al.  Cognitive Function after Major Noncardiac Surgery, Apolipoprotein E4 Genotype, and Biomarkers of Brain Injury , 2010, Anesthesiology.

[36]  S. Jaber,et al.  [Validation of the french translated Richmond vigilance-agitation scale]. , 2006, Annales francaises d'anesthesie et de reanimation.

[37]  J. Cummings,et al.  The Montreal Cognitive Assessment, MoCA: A Brief Screening Tool For Mild Cognitive Impairment , 2005, Journal of the American Geriatrics Society.

[38]  Ying Zhang,et al.  A Chart‐Based Method for Identification of Delirium: Validation Compared with Interviewer Ratings Using the Confusion Assessment Method , 2005, Journal of the American Geriatrics Society.

[39]  Erkki Oja,et al.  Independent component analysis: algorithms and applications , 2000, Neural Networks.

[40]  S K Inouye,et al.  Clarifying confusion: the confusion assessment method. A new method for detection of delirium. , 1990, Annals of internal medicine.