Delirium detection using relative delta power based on 1 minute single-channel EEG : a multicentre study
| Autor: | Numan, T., van den Boogaard, M., Kamper, A. M., Rood, P. J.T., Peelen, L. M., Slooter, Arjen JC, Abawi, Masieh, van den Boogaard, Mark, Claassen, Jurgen AHR, Coesmans, Michael, Dautzenberg, Paul, Dhondt, Ton ADF, Diraoui, Shiraz B., Eikelenboom, Piet, Emmelot-Vonk, Marielle H., Faaij, Richard A., van Gool, Willem A., Groot, Erwin R., Hagestein-de Bruijn, Carla, Hovens, Jacqueline GFM, van der Jagt, Mathieu, de Jonghe, Anne Marieke, Kamper, Adriaan M., Koek, Huiberdine L., van der Kooi, Arendina W., Kromkamp, Marjan, Lagro, Joep, Leentjens, Albert FG, Lefeber, Geert J., Leijten, Frans S., Leue, Carsten, de Man, Tjarda, van Marum, Robert J., van der Mast, Roos C., van Munster, Barbara C., Osse, Robert Jan, Barbara Portier, C., Rius Ottenheim, Nathaly, Rood, Paul JT, Röder, Christian H., Schoon, Yvonne, Tromp, Arjen, van der Vlugt, Joris B., Vondeling, Ariël M., Wassenaar, Annelies, Weinstein, Henry, Witlox, Joost, van Zanten, Jeroen S., Dutch Delirium Detection Study Group |
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| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
Aged
80 and over Male Electroencephalography/methods Reproducibility of Results Signal Processing Computer-Assisted Postoperative Complications/diagnosis Middle Aged Clinical Trial Postoperative Care/methods Multicenter Study Anesthesiology and Pain Medicine ROC Curve Delirium/diagnosis Monitoring Physiologic/methods Journal Article Humans Female Algorithms Aged |
| 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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