VE-CAM-S: Visual EEG-Based Grading of Delirium Severity and Associations With Clinical Outcomes. (18th January 2022)

• Record Type: Journal Article
• Authors: Tesh, Ryan A.; Sun, Haoqi; Jing, Jin; Westmeijer, Mike; Neelagiri, Anudeepthi; Rajan, Subapriya; Krishnamurthy, Parimala V.; Sikka, Pooja; Quadri, Syed A.; Leone, Michael J.; Paixao, Luis; Panneerselvam, Ezhil; Eckhardt, Christine; Struck, Aaron F.; Kaplan, Peter W.; Akeju, Oluwaseun; Jones, Daniel; Kimchi, Eyal Y.; Westover, M. Brandon
• Is Part Of: Critical care explorations. Volume 4:Number 1(2022)
• Page Start: e0611
• Publication Date: 2022-01-18
• Subjects: delirium -- delirium severity -- EEG -- encephalopathy -- prognosis
• DOI: 10.1097/CCE.0000000000000611
• Languages: English
• ISSNs: 2639-8028

Abstract

Abstract : Supplemental Digital Content is available in the text. Abstract : OBJECTIVES: To develop a physiologic grading system for the severity of acute encephalopathy manifesting as delirium or coma, based on EEG, and to investigate its association with clinical outcomes. DESIGN: This prospective, single-center, observational cohort study was conducted from August 2015 to December 2016 and October 2018 to December 2019. SETTING: Academic medical center, all inpatient wards. PATIENTS/SUBJECTS: Adult inpatients undergoing a clinical EEG recording; excluded if deaf, severely aphasic, developmentally delayed, non-English speaking (if noncomatose), or if goals of care focused primarily on comfort measures. Four-hundred six subjects were assessed; two were excluded due to technical EEG difficulties. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: A machine learning model, with visually coded EEG features as inputs, was developed to produce scores that correlate with behavioral assessments of delirium severity (Confusion Assessment Method-Severity [CAM-S] Long Form [LF] scores) or coma; evaluated using Spearman R correlation; area under the receiver operating characteristic curve (AUC); and calibration curves. Associations of Visual EEG Confusion Assessment Method Severity (VE-CAM-S) were measured for three outcomes: functional status at discharge (via Glasgow Outcome Score [GOS]), inhospital mortality, and 3-month mortality. Four-hundred four subjects were analyzed (mean [sd] age, 59.8 yr [17.6 yr]; 232 [57%] male; 320 [79%] White; 339 [84%] non-Hispanic); 132 (33%) without delirium or coma, 143 (35%) with delirium, and 129 (32%) with coma. VE-CAM-S scores correlated strongly with CAM-S scores (Spearman correlation 0.67 [0.62–0.73]; p < 0.001) and showed excellent discrimination between levels of delirium (CAM-S LF = 0 vs ≥ 4, AUC 0.85 [0.78–0.92], calibration slope of 1.04 [0.87–1.19] for CAM-S LF ≤ 4 vs ≥ 5). VE-CAM-S scores were strongly associated with important clinical outcomes including inhospital mortality (AUC 0.79 [0.72–0.84]), 3-month mortality (AUC 0.78 [0.71–0.83]), and GOS at discharge (0.76 [0.69–0.82]). CONCLUSIONS: VE-CAM-S is a physiologic grading scale for the severity of symptoms in the setting of delirium and coma, based on visually assessed electroencephalography features. VE-CAM-S scores are strongly associated with clinical outcomes.