Seizure Identification by Critical Care Providers Using Quantitative Electroencephalography

Objectives: To compare the performance of critical care providers with that of electroencephalography experts in identifying seizures using quantitative electroencephalography display tools. Design: Diagnostic accuracy comparison among healthcare provider groups. Setting: Multispecialty quaternary children’s hospital in Canada. Subjects: ICU fellows, ICU nurses, neurophysiologists, and electroencephalography technologists. Intervention: Two-hour standardized one-on-one training, followed by a supervised individual review of 27 continuous electroencephalography recordings with the task of identifying individual seizures on eight-channel amplitude-integrated electroencephalography and color density spectral array displays. Measurements and Main Results: Each participant reviewed 27 continuous electroencephalograms comprising 487 hours of recording containing a total of 553 seizures. Performance for seizure identification was compared among groups using a nested model analysis with adjustment for interparticipant variability within groups and collinearity among recordings. Using amplitude-integrated electroencephalography, sensitivity for seizure identification was comparable among ICU fellows (83.8%), ICU nurses (73.1%), and neurophysiologists (81.5%) but lower among electroencephalographic technologists (66.7%) (p = 0.003). Using color density spectral array, sensitivity was comparable among ICU fellows (82.4%), ICU nurses (88.2%), neurophysiologists (83.3%), and electroencephalographic technologists (73.3%) (p = 0.09). Daily false-positive rates were also comparable among ICU fellows (2.8 for amplitude-integrated electroencephalography, 7.7 for color density spectral array), ICU nurses (4.2, 7.1), neurophysiologists (1.2, 1.5), and electroencephalographic technologists (0, 0) (p = 0.41 for amplitude-integrated electroencephalography; p = 0.13 for color density spectral array). However, performance varied greatly across individual electroencephalogram recordings. Professional background generally played a greater role in determining performance than individual skill or electroencephalogram recording characteristics. Conclusions: Following standardized training, critical care providers and electroencephalography experts displayed similar performance for identifying individual seizures using both amplitude-integrated electroencephalography and color density spectral array displays. Although these quantitative electroencephalographic trends show promise as a tool for bedside seizure screening by critical care providers, these findings require confirmation in a real-world ICU environment and in daily clinical use. Supplemental digital content is available for this article. Direct URL citations appear in the printed text and are provided in the HTML and PDF versions of this article on the journal’s website (https://ift.tt/29S62lw). Supported, in part, by research grants from the Physicians’ Services Incorporated Foundation, The Hospital for Sick Children Foundation, and the Canadian Institutes of Health Research. Dr. Hahn’s institution received funding from Physician’s Services Incorporated Foundation, Canadian Institutes of Health Research, and the Hospital for Sick Children Foundation. The remaining authors have disclosed that they do not have any potential conflicts of interest. For information regarding this article, E-mail: cecil.hahn@sickkids.ca Copyright © by 2018 by the Society of Critical Care Medicine and Wolters Kluwer Health, Inc. All Rights Reserved.

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