| Literature DB >> 24727466 |
Arthur C Grant1, Samah G Abdel-Baki2, Ahmet Omurtag2, Richard Sinert3, Geetha Chari4, Schweta Malhotra3, Jeremy Weedon5, Andre A Fenton6, Shahriar Zehtabchi3.
Abstract
Measuring the diagnostic accuracy (DA) of an EEG device is unconventional and complicated by imperfect interrater reliability. We sought to compare the DA of a miniature, wireless, battery-powered EEG device ("microEEG") to a reference EEG machine in emergency department (ED) patients with altered mental status (AMS). Two hundred twenty-five ED patients with AMS underwent 3 EEGs. Two EEGs, EEG1 (Nicolet Monitor, "reference") and EEG2 (microEEG) were recorded simultaneously with EEG cup electrodes using a signal splitter. The remaining study, EEG3, was recorded with microEEG using an electrode cap immediately before or after EEG1/EEG2. The official EEG1 interpretation was considered the gold standard (EEG1-GS). EEG1, 2, and 3 were de-identified and blindly interpreted by two independent readers. A generalized mixed linear model was used to estimate the sensitivity and specificity of these interpretations relative to EEG1-GS and to compute a diagnostic odds ratio (DOR). Seventy-nine percent of EEG1-GS were abnormal. Neither the DOR nor the κf representing interrater reliabilities differed significantly between EEG1, EEG2, and EEG3. The mean setup time was 27 min for EEG1/EEG2 and 12 min for EEG3. The mean electrode impedance of EEG3 recordings was 12.6 kΩ (SD: 31.9 kΩ). The diagnostic accuracy of microEEG was comparable to that of the reference system and was not reduced when the EEG electrodes had high and unbalanced impedances. A common practice with many scientific instruments, measurement of EEG device DA provides an independent and quantitative assessment of device performance.Entities:
Keywords: Altered mental status; Diagnostic accuracy; EEG; Sensitivity and specificity
Mesh:
Year: 2014 PMID: 24727466 PMCID: PMC4056592 DOI: 10.1016/j.yebeh.2014.03.015
Source DB: PubMed Journal: Epilepsy Behav ISSN: 1525-5050 Impact factor: 2.937