1. DeltaScan for the Assessment of Acute Encephalopathy and Delirium in ICU and non-ICU Patients, a Prospective Cross-Sectional Multicenter Validation Study.
- Author
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Ditzel FL, Hut SCA, van den Boogaard M, Boonstra M, Leijten FSS, Wils EJ, van Nesselrooij T, Kromkamp M, Rood PJT, Röder C, Bouvy PF, Coesmans M, Osse RJ, Pop-Purceleanu M, van Dellen E, Krulder JWM, Milisen K, Faaij R, Vondeling AM, Kamper AM, van Munster BC, de Jonghe A, Winters MAM, van der Ploeg J, van der Zwaag S, Koek DHL, Drenth-van Maanen CAC, Beishuizen A, van den Bos DM, Cahn W, Schuit E, and Slooter AJC
- Subjects
- Humans, Male, Female, Aged, Cross-Sectional Studies, Prospective Studies, Aged, 80 and over, Middle Aged, Algorithms, Sensitivity and Specificity, Delirium diagnosis, Electroencephalography methods, Intensive Care Units, Brain Diseases diagnosis, Brain Diseases complications
- Abstract
Objectives: To measure the diagnostic accuracy of DeltaScan: a portable real-time brain state monitor for identifying delirium, a manifestation of acute encephalopathy (AE) detectable by polymorphic delta activity (PDA) in single-channel electroencephalograms (EEGs)., Design: Prospective cross-sectional study., Setting: Six Intensive Care Units (ICU's) and 17 non-ICU departments, including a psychiatric department across 10 Dutch hospitals., Participants: 494 patients, median age 75 (IQR:64-87), 53% male, 46% in ICUs, 29% delirious., Measurements: DeltaScan recorded 4-minute EEGs, using an algorithm to select the first 96 seconds of artifact-free data for PDA detection. This algorithm was trained and calibrated on two independent datasets., Methods: Initial validation of the algorithm for AE involved comparing its output with an expert EEG panel's visual inspection. The primary objective was to assess DeltaScan's accuracy in identifying delirium against a delirium expert panel's consensus., Results: DeltaScan had a 99% success rate, rejecting 6 of the 494 EEG's due to artifacts. Performance showed and an Area Under the Receiver Operating Characteristic Curve (AUC) of 0.86 (95% CI: 0.83-0.90) for AE (sensitivity: 0.75, 95%CI=0.68-0.81, specificity: 0.87 95%CI=0.83-0.91. The AUC was 0.71 for delirium (95%CI=0.66-0.75, sensitivity: 0.61 95%CI=0.52-0.69, specificity: 72, 95%CI=0.67-0.77). Our validation aim was an NPV for delirium above 0.80 which proved to be 0.82 (95%CI: 0.77-0.86). Among 84 non-delirious psychiatric patients, DeltaScan differentiated delirium from other disorders with a 94% (95%CI: 87-98%) specificity., Conclusions: DeltaScan can diagnose AE at bedside and shows a clear relationship with clinical delirium. Further research is required to explore its role in predicting delirium-related outcomes., (Copyright © 2023 The Authors. Published by Elsevier Inc. All rights reserved.)
- Published
- 2024
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