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Prediction of Post-Operative Delirium in Older Adults from Preoperative Cognition and Alpha Power from Resting-State EEG.

Matthew NingAndrei RodionovJessica M RossRecep A OzdemirMaja BurchShu Jing LianDavid AlsopMichele CavallariBradford C DickersonTamara G FongRichard N JonesTowia A LibermannEdward R MarcantonioEmiliano SantarnecchiEva M SchmittAlexandra TouroutoglouThomas G TravisonLeah AckerMelody ReeseHaoqi SunBrandon WestoverMiles BergerAlvaro Pascual-LeoneSharon K InouyeMouhsin M Shafinull null
Published in: medRxiv : the preprint server for health sciences (2024)
Predict postoperative delirium using pre-operative EEG alpha power and MoCA scores.Prediction performance improves over cognitive assessment alone.ROC-AUC, specificity, accuracy >90%, and sensitivity > 80%, in a validation cohort.Abnormalities in baseline EEG are a risk factor for postoperative delirium.
Keyphrases
  • resting state
  • functional connectivity
  • patients undergoing
  • cardiac surgery
  • hip fracture
  • physical activity
  • acute kidney injury
  • working memory