作者
Jin Jing,Wendong Ge,Aaron F. Struck,Marta Bento Fernandes,Shenda Hong,Sungtae An,Safoora Fatima,Aline Herlopian,Ioannis Karakis,Jonathan J. Halford,Marcus Ng,Emily L. Johnson,Brian Appavu,Rani A. Sarkis,Gamaleldin Osman,Peter W. Kaplan,Monica B. Dhakar,Lakshman Arcot Jayagopal,Zubeda Sheikh,Olga Taraschenko,Sarah E. Schmitt,Hiba A. Haider,Jennifer A. Kim,Christa B. Swisher,Nicolas Gaspard,Mackenzie C. Cervenka,Andrés Rodríguez,Jong Woo Lee,Mohammad Tabaeizadeh,Emily J. Gilmore,Kristy Nordstrom,Ji Yeoun Yoo,Manisha Holmes,Susan T. Herman,Jennifer Williams,Jay Pathmanathan,Fábio A. Nascimento,Ziwei Fan,Samaneh Nasiri,Mouhsin M. Shafi,Sydney S. Cash,Daniel B. Hoch,Andrew J. Cole,Eric S. Rosenthal,Sahar F. Zafar,Jimeng Sun,M. Brandon Westover
摘要
The validity of brain monitoring using electroencephalography (EEG), particularly to guide care in patients with acute or critical illness, requires that experts can reliably identify seizures and other potentially harmful rhythmic and periodic brain activity, collectively referred to as "ictal-interictal-injury continuum" (IIIC). Previous interrater reliability (IRR) studies are limited by small samples and selection bias. This study was conducted to assess the reliability of experts in identifying IIIC.