Intra-operative electroencephalogram frontal alpha-band spectral analysis and postoperative delirium in cardiac surgery: A prospective cohort study.


Journal

European journal of anaesthesiology
ISSN: 1365-2346
Titre abrégé: Eur J Anaesthesiol
Pays: England
ID NLM: 8411711

Informations de publication

Date de publication:
01 10 2023
Historique:
medline: 11 9 2023
pubmed: 8 8 2023
entrez: 8 8 2023
Statut: ppublish

Résumé

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. We hypothesised that features of intra-operative α-band activity could predict the occurrence of POD. Single-centre prospective observational study. University hospital, from 15 May 2019 to 15 December 2021. Adult patients undergoing elective cardiac surgery. 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. 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. 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. NCT03706989.

Sections du résumé

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.

Identifiants

pubmed: 37551153
doi: 10.1097/EJA.0000000000001895
pii: 00003643-990000000-00123
doi:

Banques de données

ClinicalTrials.gov
['NCT03706989']

Types de publication

Observational Study Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

777-787

Informations de copyright

Copyright © 2023 European Society of Anaesthesiology and Intensive Care. Unauthorized reproduction of this article is prohibited.

Références

Evered L, Silbert B, Knopman DS, et al. Nomenclature Consensus Working Group. Recommendations for the nomenclature of cognitive change associated with anaesthesia and surgery – 2018. Anesthesiology 2018; 129:872–879.
Brown CH. Delirium in cardiac surgical ICU. Curr Opin Anaesthesiol 2014; 27:117–122.
Sanson G, Khlopenyuk Y, Milocco S, et al. Delirium after cardiac surgery. Incidence, phenotypes, predisposing and precipitating risk factors, and effects. Heart Lung 2018; 47:408–417.
Witlox J, Eurelings LS, de Jonghe JF, et al. Delirium in elderly patients and the risk of postdischarge mortality, institutionalization, and dementia: a meta-analysis. JAMA 2010; 304:443–451.
Gleason LJ, Schmitt EM, Kosar CM, et al. Effects of delirium and other major complications on outcomes after elective surgery in older adults. JAMA Surg 2015; 150:1134–1140.
Maldonado JR. Delirium pathophysiology: an updated hypothesis of the etiology of acute brain failure. Int J Geriatr Psychiatry 2018; 33:1428–1457.
Aldecoa C, Bettelli G, Bilotta F, et al. European Society of Anaesthesiology evidence-based and consensus-based guideline on postoperative delirium. Eur J Anaesthesiol 2017; 34:192–214.
Chen H, Mo L, Hu H, et al. Risk factors of postoperative delirium after cardiac surgery: a meta-analysis. J Cardiothorac Surg 2021; 16:113.
Cereghetti C, Siegemund M, Schaedelin S, et al. Independent predictors of the duration and overall burden of postoperative delirium after cardiac surgery in adults: an observational cohort study. J Cardiothorac Vasc Anesth 2017; 31:1966–1973.
Bettelli G. Preoperative evaluation in geriatric surgery: comorbidity, functional status and pharmacological history. Minerva Anesthesiol 2011; 77:637–646.
Evered LA. Predicting delirium: are we there yet? Br J Anaesth 2017; 119:281–283.
Purdon PL, Sampson A, Pavone KJ, et al. Clinical electroencephalography for anesthesiologists: part I: background and basic signatures. Anesthesiology 2015; 123:937–960.
Akeju O, Westover MB, Pavone KJ, et al. Effects of sevoflurane and propofol on frontal electroencephalogram power and coherence. Anesthesiology 2014; 121:990–998.
Hashemi A, Pino LJ, Moffat G, et al. Characterizing population EEG dynamics throughout adulthood. eNeuro 2016; 3: ENEURO.0275-16.2016.
Purdon PL, Pavone KJ, Akeju O, et al. The ageing brain: age-dependent changes in the electroencephalogram during propofol and sevoflurane general anaesthesia. Br J Anaesth 2015; 115: (Suppl 1): i46–i57.
Kaiser HA, Hirschi T, Sleigh C, et al. Comorbidity-dependent changes in alpha and broadband electroencephalogram power during general anesthesia for cardiac surgery. Br J Anaesth 2020; 125:456–465.
Babiloni C, Carducci F, Lazio R, et al. Resting state cortical electroencephalographic rhythms are related to gray matter volume in subjects with mild cognitive impairment and Alzheimer's disease. Hum Brain Mapp 2013; 34:1427–1446.
Giattino CM, Gardner JE, Sbahi FM, et al. MADCO-PC Investigators. Intraoperative frontal alpha-band power correlates with preoperative neurocognitive function in older adults. Front Syst Neurosci 2017; 11:24.
Koch S, Feinkohl I, Chakravarty S, et al. BioCog Study Group. Cognitive impairment is associated with absolute intraoperative frontal a-band power but not with baseline a-band power: a pilot study. Dement Geriatr Cogn Disord 2019; 48:83–92.
Shao YR, Kahali P, Houle TT, et al. Low frontal alpha power is associated with the propensity for burst suppression: an electroencephalogram phenotype for a “vulnerable brain”. Anesth Analg 2020; 131:1529–1539.
Pedemonte JC, Plummer GS, Chamadia S, et al. Electroencephalogram burst-suppression during cardiopulmonary bypass in elderly patients mediates postoperative delirium. Anesthesiology 2020; 133:280–292.
Soehle M, Dittmann A, Ellerkmann RK, et al. Intraoperative burst suppression is associated with postoperative delirium following cardiac surgery: a prospective, observational study. BMC Anesthesiol 2015; 15:61.
Fritz BA, Maybrier HR, Avidan MS. Intraoperative electroencephalogram suppression at lower volatile anaesthetic concentrations predicts postoperative delirium occurring in the intensive care unit. Br J Anaesth 2018; 121:241–248.
Bellelli G, Morandi A, Davis DH, et al. Validation of the 4AT, a new instrument for rapid delirium screening: a study in 234 hospitalised older people. Age Ageing 2014; 43:496–502.
McDonagh DL, Mathew JP, White WD, et al. for the Neurologic Outcome Research Group. Cognitive function after major noncardiac surgery, apolipoprotein E4 genotype, and biomarkers of brain injury. Anesthesiology 2010; 112:852–859.
Couture EJ, Deschamps A, Denault AY. Patient management algorithm combining processed electroencephalographic monitoring with cerebral and somatic near-infrared spectroscopy: a case series. Can J Anaesth 2019; 66:532–539.
Hyvärinen A, Oja E. Independent component analysis: algorithms and applications. Neural Netw 2000; 13:411–430.
Chanques G, Garnier O, Carr J, 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. Anaesth Crit Care Pain Med 2017; 36:297–300.
Chanques G, Jaber S, Barbotte E, et al. Validation of the French translated Richmond vigilance-agitation scale. Ann Fr Anesth Reanim 2006; 25:696–701.
Inouye SK, van Dycke C, Alessi C, et al. Clarifying confusion: the confusion assessment method. Ann Int Med 1990; 113:941–948.
Inouye SK, Leo-Summers L, Zhang Y, et al. A chart-based method for identification of delirium: validation compared with interviewer ratings using the confusion assessment method. J Am Geriatr Soc 2005; 53:312–318.
Gutierrez R, Egaña JI, Saez I, et al. Intraoperative low alpha power in the electroencephalogram is associated with postoperative subsyndromal delirium. Front Syst Neurosci 2019; 13:56.
Koch S, Windmann V, Chakravarty S, et al. BioCog Study Group. Perioperative electroencephalogram spectral dynamics related to postoperative delirium in older patients. Anesth Analg 2021; 133:1598–1607.
Vijayan S, Ching S, Purdon PL, et al. Thalamocortical mechanisms for the anteriorization of a rhythms during propofol-induced unconsciousness. J Neurosci 2013; 33:11070–11075.
Flores FJ, Hartnack KE, Fath AB, et al. Thalamocortical synchronization during induction and emergence from propofol-induced unconsciousness. Proc Natl Acad Sci USA 2017; 114:E6660–E6668.
Hight D, Voss LJ, Garcia PS, et al. Changes in alpha frequency and power of the electroencephalogram during volatile-based general anesthesia. Front Syst Neurosci 2017; 11:36.
Chiang AK, Rennie CJ, Robinson PA, et al. Age trends and sex differences of alpha rhythms including split alpha peaks. Clin Neurophysiol 2011; 112:1505–1517.
Brown EN, Purdon PL. The aging brain and anesthesia. Curr Opin Anaesthesiol 2013; 26:414–419.
Dworkin A, Lee DS, An AR, et al. A simple tool to predict development of delirium after elective surgery. J Am Geriatr Soc 2016; 64:e149–e153.
Nasreddine ZS, Phillips NA, Bédrian V, et al. The Montreal Cognitive Assessment, MoCA: a brief screening tool for mild cognitive impairment. J Am Geriatr Soc 2005; 53:695–699.

Auteurs

Céline Khalifa (C)

From the Department of Anaesthesiology, Cliniques universitaires Saint-Luc, Université catholique de Louvain (UCLouvain) (CK, CW, DK, MM), Institut de Recherche Expérimentale et Clinique (IREC), Université catholique de Louvain (UCLouvain) (CK, AR, CW, DK, SM, GA, MM), Institute of Neuroscience (IoNS), Université catholique de Louvain (UCLouvain) (CK, CL, CW, AI, AM, MM), Department of Epidemiology and Biostatistics, Université catholique de Louvain (UCLouvain) (AR), Department of Cardiothoracic and Vascular Surgery, Cliniques universitaires Saint-Luc, Université catholique de Louvain (UCLouvain) (SM, GA), Department of Neurology, Cliniques universitaires Saint-Luc, Université catholique de Louvain (UCLouvain), Brussels (AI), Department of Anaesthesia and Intensive Care Medicine, Liège University Hospital (VB) and Anaesthesia and Peri-operative Neuroscience Laboratory, GIGA-Consciousness Thematic Unit, GIGA-Research, Liege University, Liege, Belgium (VB).

Articles similaires

[Redispensing of expensive oral anticancer medicines: a practical application].

Lisanne N van Merendonk, Kübra Akgöl, Bastiaan Nuijen
1.00
Humans Antineoplastic Agents Administration, Oral Drug Costs Counterfeit Drugs

Smoking Cessation and Incident Cardiovascular Disease.

Jun Hwan Cho, Seung Yong Shin, Hoseob Kim et al.
1.00
Humans Male Smoking Cessation Cardiovascular Diseases Female
Humans United States Aged Cross-Sectional Studies Medicare Part C
1.00
Humans Yoga Low Back Pain Female Male

Classifications MeSH