Group-Based Trajectory Modeling of Suppression Ratio After Cardiac Arrest

Background Existing studies of quantitative electroencephalography (qEEG) as a prognostic tool after cardiac arrest (CA) use methods that ignore the longitudinal pattern of qEEG data, resulting in significant information loss and precluding analysis of clinically important temporal trends. We tested...

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Veröffentlicht in:	Neurocritical care 2016-12, Vol.25 (3), p.415-423
Hauptverfasser:	Elmer, Jonathan, Gianakas, John J., Rittenberger, Jon C., Baldwin, Maria E., Faro, John, Plummer, Cheryl, Shutter, Lori A., Wassel, Christina L., Callaway, Clifton W., Fabio, Anthony
Format:	Artikel
Sprache:	eng
Schlagworte:	Adult Aged Cardiac arrest Cardiopulmonary resuscitation Coma - physiopathology CPR Critical Care Medicine Electroencephalography - methods Female Generalized linear models Heart Arrest - physiopathology Humans Hypoxia, Brain - physiopathology Intensive Internal Medicine Male Medicine Medicine & Public Health Middle Aged Models, Neurological Neurology Original Article Patients Prognosis Signal to noise ratio Software Trends
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