Delirium detection using relative delta power based on 1 minute single-channel EEG : a multicentre study
Autor: | Mark van den Boogaard, Geert J. Lefeber, Michael Coesmans, Nathaly Rius Ottenheim, Ariël M. Vondeling, Willem A. van Gool, Albert F.G. Leentjens, M van den Boogaard, Joep Lagro, Jeroen S. van Zanten, Annemarieke de Jonghe, Arendina W. van der Kooi, Paul L. J. Dautzenberg, Richard A. Faaij, Tjarda de Man, AJ Slooter, Masieh Abawi, Christian H. Röder, Paul J.T. Rood, Barbara C. van Munster, Sanneke van der Zwaag, P. Eikelenboom, Joost Witlox, Roos C. van der Mast, Carla Hagestein-de Bruijn, Arjen J. C. Slooter, Marjan Kromkamp, Jacqueline G. F. M. Hovens, Ton A. Df. Dhondt, Philip M. Zeman, C. Barbara Portier, Yvonne Schoon, T. Numan, Adriaan M. Kamper, Erwin R. Groot, Henry C. Weinstein, Annelies Wassenaar, Huiberdine L. Koek, Linda M. Peelen, Tianne Numan, Frans S. S. Leijten, Robert Jan Osse, Arjen Tromp, Mathieu van der Jagt, A. M. Kamper, Marielle H. Emmelot-Vonk, Joris B. van der Vlugt, Jurgen A.H.R. Claassen, Robert J. van Marum, Paul J T Rood, Carsten Leue, Shiraz B. Diraoui |
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Přispěvatelé: | Clinical sciences, Neuroprotection & Neuromodulation, Erasmus School of Economics, Psychiatry, Intensive Care, Academic Medical Center, APH - Aging & Later Life, APH - Mental Health, Psychiatrie & Neuropsychologie, RS: MHeNs - R1 - Cognitive Neuropsychiatry and Clinical Neuroscience, MUMC+: MA Med Staf Spec Psychiatrie (9), Molecular Neuroscience and Ageing Research (MOLAR), General practice, Anatomy and neurosciences, Neurology, Amsterdam Neuroscience - Neurodegeneration |
Jazyk: | angličtina |
Rok vydání: | 2019 |
Předmět: |
Male
INTENSIVE-CARE-UNIT Electroencephalography/methods Electroencephalography intensive care unit Physiologic/methods Computer-Assisted Postoperative Complications 0302 clinical medicine VENTILATED PATIENTS 030202 anesthesiology 80 and over postoperative Aged 80 and over medicine.diagnostic_test Signal Processing Computer-Assisted Postoperative Complications/diagnosis Middle Aged Clinical Trial Multicenter Study Anesthesia Cohort Monitoring Physiologic/methods Female medicine.symptom CRITICALLY-ILL PATIENTS electroencephalography Algorithms complications Sedation DUTCH VERSION behavioral disciplines and activities VALIDATION Postoperative Care/methods Healthcare improvement science Radboud Institute for Health Sciences [Radboudumc 18] 03 medical and health sciences All institutes and research themes of the Radboud University Medical Center delirium mental disorders medicine Journal Article Humans POSTOPERATIVE DELIRIUM Monitoring Physiologic Aged TOOLS Receiver operating characteristic business.industry MORTALITY Postoperative complication Reproducibility of Results SEDATION Gold standard (test) postoperative care Confidence interval CONFUSION ASSESSMENT METHOD nervous system diseases monitoring Anesthesiology and Pain Medicine ROC Curve Signal Processing Delirium/diagnosis Delirium business |
Zdroj: | British Journal of Anaesthesia, 122(1), 60. Oxford University Press British Journal of Anaesthesia, 122(1), 60-68. Elsevier Ltd. British journal of anaesthesia, 122(1), 60-68. Oxford University Press British Journal of Anaesthesia, 122(1), 60-68. ELSEVIER SCI LTD British Journal of Anaesthesia, 122, 1, pp. 60-68 British Journal of Anaesthesia, 122, 60-68 Numan, T, van den Boogaard, M, Kamper, A M, Rood, P J T, Peelen, L M, Slooter, A J C, Abawi, M, van den Boogaard, M, Claassen, J A HR, Coesmans, M, Dautzenberg, P, Dhondt, T A DF, Diraoui, S B, Eikelenboom, P, Emmelot-Vonk, M H, Faaij, R A, van Gool, W A, Groot, E R, Hagestein-de Bruijn, C, Hovens, J G FM, van der Jagt, M, de Jonghe, A-M, Kamper, A M, Koek, H L, van der Kooi, A W, Kromkamp, M, Lagro, J, Leentjens, A F G, Lefeber, G J, Leijten, F S, Leue, C, de Man, T, van Marum, R J, van der Mast, R C, van Munster, B C, Numan, T, Osse, R J, Barbara Portier, C, Rius Ottenheim, N, Rood, P J T, Röder, C H, Schoon, Y, Slooter, A J C, Tromp, A, van der Vlugt, J B, Vondeling, A M, Wassenaar, A, Weinstein, H, Witlox, J, van Zanten, J S, Dutch Delirium Detection Study Group, Zeman, P M & van der Zwaag, S 2019, ' Delirium detection using relative delta power based on 1 minute single-channel EEG: a multicentre study ', British Journal of Anaesthesia, vol. 122, no. 1, pp. 60-68 . https://doi.org/10.1016/j.bja.2018.08.021 British Journal of Anaesthesia, 122(1), 60-68. Oxford University Press |
ISSN: | 0007-0912 |
Popis: | Background: Delirium is frequently unrecognised. EEG shows slower frequencies (i.e. below 4 Hz) during delirium, which might be useful in improving delirium recognition. We studied the discriminative performance of a brief single-channel EEG recording for delirium detection in an independent cohort of patients. Methods: In this prospective, multicentre study, postoperative patients aged ≥60 yr were included (n=159). Before operation and during the first 3 postoperative days, patients underwent a 5-min EEG recording, followed by a video-recorded standardised cognitive assessment. Two or, in case of disagreement, three delirium experts classified each postoperative day based on the video and chart review. Relative delta power (1–4 Hz) was based on 1-min artifact-free EEG. The diagnostic value of the relative delta power was evaluated by the area under the receiver operating characteristic curve (AUROC), using the expert classification as the gold standard. Results: Experts classified 84 (23.3%) postoperative days as either delirium or possible delirium, and 276 (76.7%) non-delirium days. The AUROC of the relative EEG delta power was 0.75 [95% confidence interval (CI) 0.69–0.82]. Exploratory analysis showed that relative power from 1 to 6 Hz had significantly higher AUROC (0.78, 95% CI 0.72–0.84, P=0.014). Conclusions: Delirium/possible delirium can be detected in older postoperative patients based on a single-channel EEG recording that can be automatically analysed. This objective detection method with a continuous scale instead of a dichotomised outcome is a promising approach for routine detection of delirium. Clinical trial registration: NCT02404181. |
Databáze: | OpenAIRE |
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