脑电图
冲程(发动机)
医学
脑病
神经影像学
心脏病学
逻辑回归
切断
接收机工作特性
队列
定量脑电图
内科学
精神科
工程类
物理
机械工程
量子力学
作者
Mauro Caffarelli,Vishnu Karukonda,Mahsa Aghaeeaval,Patrick S. McQuillen,Adam L. Numis,Mark T. Mackay,Craig A. Press,Max Wintermark,Christine K. Fox,Edilberto Amorim,Jennifer Armstrong,Marta Hernández,Gabrielle deVeber,Noma Dlamini,Michael M. Dowling,Ryan J. Felling,Heather J. Fullerton,Kristin P. Guilliams,Sahar M. A. Hassanein,Lori C. Jordan
标识
DOI:10.1016/j.clinph.2023.10.001
摘要
To describe and assess performance of the Correlate Of Injury to the Nervous system (COIN) index, a quantitative electroencephalography (EEG) metric designed to identify areas of cerebral dysfunction concerning for stroke. Case-control study comparing continuous EEG data from children with acute ischemic stroke to children without stroke, with or without encephalopathy. COIN is calculated continuously and compares EEG power between cerebral hemispheres. Stroke relative infarct volume (RIV) was calculated from quantitative neuroimaging analysis. Significance was determined using a two-sample t-test. Sensitivity, specificity, and accuracy were measured using logistic regression. Average COIN values were -34.7 in the stroke cohort compared to -9.5 in controls without encephalopathy (p=0.003) and -10.5 in controls with encephalopathy (p=0.006). The optimal COIN cutoff to discriminate stroke from controls was -15 in non-encephalopathic and -18 in encephalopathic controls with >92% accuracy in strokes with RIV >5%. A COIN cutoff of -20 allowed discrimination between strokes with < 5% and > 5% RIV (p=0.027). We demonstrate that COIN can identify children with acute ischemic stroke. COIN may be a valuable tool for stroke identification in children. Additional studies are needed to determine utility as a monitoring technique for children at risk for stroke.
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