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Enregistrement W3211088308 · doi:10.1097/eja.0000000000001524

Brain fragility among middle-aged and elderly patients from electroencephalogram during induction of anaesthesia

2021· article· en· W3211088308 sur OpenAlexaboutno aff
Jérôme Cartailler, Cyril Touchard, Pierre Parutto, Étienne Gayat, Claire Paquet, Fabrice Vallée

Notice bibliographique

RevueEuropean Journal of Anaesthesiology · 2021
Typearticle
Langueen
DomaineMedicine
ThématiqueIntensive Care Unit Cognitive Disorders
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésMedicineNeurocognitiveGeneral anaesthesiaPropofolCognitionDeliriumElectroencephalographyAnesthesiaCognitive declineAudiologyPediatricsPsychiatryInternal medicine

Résumé

récupéré en direct d'OpenAlex

Editor, Cognitive decline is a common condition amongst the elderly, affecting memory, language or thinking. Patients experiencing cognitive decline have a higher incidence of postoperative neurocognitive disorders.1 Moreover, for a fraction of these patients, occurrence of intra-operative burst suppressions result in postoperative delirium.1 It is, therefore, important to know patients’ cognitive status to adapt anaesthesia and postoperative care. Cognitive decline is routinely assessed through neurocognitive evaluation with first onset occurring around 50 years old, and affecting about 40% of patients.1 However, with one-third of people over 50 years old scheduled for surgery, a systematic evaluation beforehand is difficult if not impossible in clinical practice. We proposed to take advantage of general anaesthesia to address this issue. Anaesthesia is a controlled procedure during which cerebral activity can be monitored with a frontal electroencephalogram (EEG). Specifically, propofol-induced general anaesthesia exhibits a characteristic EEG signature constituting simultaneous frontal slow waves (<1 Hz) and α-waves (8 to 14 Hz), with several studies outlining the association between α-waves and cognitive decline or burst suppressions.2–4 However, both cognitive decline and α-wave changes are age-dependent.5 In this letter, we describe a prospective study of patients aged more than 50 years in whom the propofol target brain concentration was set to 5 μg ml−1 during induction of general anaesthesia. The Probrain Study (ID NCT0387637) was approved by the Société de Réanimation de Langue Française ethics committee CE SRLF 11-356 on 5 January 2016 (Chairperson Dr Jean Reignier). Patients were provided with an information letter and verbal consent was obtained before anaesthesia. Patient selection, anaesthetic protocol, EEG collection/analysis, the Montreal Cognitive Assessment method (MoCA) for cognitive decline assessment and α-band power (αPow) detection are described elsewhere by Touchard et al.6 The α-wave transient amplitude decreases (TAD) slope was computed; then log-transformed using the α-suppression pipeline described by Cartailler et al.7 The induction period corresponds to the first 10 min following α-wave onset. Sample size (n=32) was estimated for α = 0.05 and β = 85% [odds ratio (OR) = 3, P0 = 0.46, R2 = 0.05, age-adjusted logistic models). The two-tailed Mann--Whitney test was used for group comparisons. For OR estimation, αPow at least −13 dB were mapped to −13dB. We focused on predicting cognitive decline, characterised using MoCA, performed 1 day before anaesthesia. During the period of induction of anaesthesia, we analysed αPow and TAD (Figs. 1a--c), the low amplitude components of intra-operative α-oscillations that have been shown to predict onset of burst suppression.7 Given the variability of the EEG signal during the induction period, we tested a dynamic biomarker (TAD) and compared it with αPow, a standard parameter of EEG spectral analysis.Fig. 1: Increase of α-wave transient amplitude decreases during the 10 first minutes of general anaesthesia is linked to preoperative cognitive declineWe included 38 patients (aged 69 ± 10.6 years, 34.2% women), 25 of whom underwent orthopaedic surgery and 13 a neuroradiology intervention. Patients were divided into two groups: cognitive decline [n=18 (47%), MoCA <25 points] and no cognitive decline (NoCD) [n=20 (53%), MoCA ≥25 points]. The total dose of propofol administered during induction and the age were not significantly different between the two groups (Table 1). Table 1 - Main characteristics of patients with and without cognitive decline Variables All (n=38) CD (n=18) No CD (n=20) P Age (years) 69.3 ± 10.7 72.2 ± 11.8 66.7 ± 9.2 0.058 Female 13 (34.2) 7 (38.9) 6 (30.0) 0.495 Education level (≤12 years) 19 (50) 11 (61) 8 (40) 0.194 Hypertension 25 (65.8) 13 (72.2) 12 (60) 0.728 Smoker/obese/diabetic patient (%) 5.3/21.1/13.1 11.1/22.2/11.1 10/20/15 – Induction EEG markers (first 10 min) TAD slope (% min−1) 8.90 11.47 5.9 0.004 αPow (dB) −8.3 [−11.1 to −4.9] −9.9 [−15.3 to −7.3] −6.2 [−8.8 to −4.5] 0.007 Propofol dose (mg) 195 [187 to 208] 194 [177 to 201] 201 [191 to 213] 0.058 Time in BS (s) 5.3 [0 to 12.3] 10.6 [2.2 to 93.3] 1.46 [0 to 8.4] 0.031 Values are mean ± SD, median [IQR] or number (%). BS, burst suppression; CD, cognitive decline; αPow, frontal alpha rhythm power; TAD, transient alpha decrease; TCI, target-controlled infusion. Every second, we estimated the fraction of the EEG signal represented by TADs over the last 4 min (Fig. 1d) and used the slope of this time series as a variable (TAD slope, Fig. 1e, dashed-black). We found that αPow and TAD slope measured during the first 10 min of induction were significantly different between cognitive decline and NoCD groups (P = 0.007 and P = 0.004 respectively, Fig. 1e and d); a larger TAD slope was associated with cognitive decline (or was a biomarker of cognitive decline), independently of age [adjusted OR = 4.01 (1.44 to 11.20), P = 0.008, AUC = 0.80, logistic model]; and a weaker αPow was significantly linked with cognitive decline [adjusted/corrected OR = 0.33 (0.14 to 0.78), P = 0.011, AUC = 0.76, Fig. 1g). In summary, a rapid TAD increase as well as a αPow decrease measured during the first 10 min of a propofol-induced general anaesthesia were associated with lower preoperative MoCA scores. These results confirm previous findings from Giattino et al.,3 Koch et al.4 and recently Shao et al.,2 linking intra-operative α-band measured during the maintenance period to preexisting cognitive impairments. We also confirmed that this effect persists independently of patients’ age and the dose of propofol administered during anaesthesia induction. In addition, we showed that the EEG brain response to general anaesthesia, captured during induction, could be a proxy for cognitive decline. Although our study focused on the relationships between α-band (maximal α power) variables and cognitive decline, a larger EEG database might improve cognitive decline detection using multivariate analysis of EEG variables and comorbidities. Furthermore, the systematic initial 5 μg ml−1 target concentration used here would not suit very fragile patients (despite infusion models adapting for age, sex, height and weight). Thus, further studies should explore the present findings for various propofol target-control systems. We previously showed that the TAD slope measured during induction captured patient propensity to burst suppression.6 We now suggest that it also correlates with the patient's cognitive status. TAD measured at the beginning of general anaesthesia might reflect brain sensitivity to anaesthetics and probably reveal cognitive impairment, while also screening for patients for whom maintaining an appropriate depth of anaesthesia will be challenging. The present method is not a substitute for a neurocognitive evaluation, but a possible complementary examination for guiding postoperative care, optimising intra-operative anaesthesia or referring patients to a neurologist.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,004
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,118
Score d'incertitude au seuil0,613

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,004
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,012
Tête enseignante GPT0,221
Écart entre enseignants0,209 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations14
Publié2021
Routes d'admission1
Résumé présentoui

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