title: Ellen R. Grass Lecture: Rapid EEG analysis for intensive care decisions in status epilepticus.
abstract: Nonconvulsive status epilepticus in intensive care units (ICUs) is common and increases the risk of death. Nonconvulsive status epilepticus treatment delays are associated with poor patient outcomes. Continuous EEG or EEG-video monitoring is used in ICU settings to diagnose subtle seizures and nonconvulsive status epilepticus among at-risk populations including patients with closed head injuries and altered consciousness, stroke, subarachnoid hemorrhage, neonates at-risk for sepsis or hypoxic-ischemic encephalopathy, and children who have undergone surgery for congenital heart disease. However expert EEG interpretation, currently required for accurate diagnosis, often lags behind the real-time recordings by hours or even longer. At most hospitals the numbers of at-risk patients in intensive care units far exceeds the capacity of the available EEG equipment and personnel to perform and interpret EEGs. Seizure-detection software, compressed EEG spectral arrays, and near real-time remote EEG interpretation have brought us closer to the goal of real-time analysis of EEG for intensive care decisions, but even at major tertiary referral centers the vast majority of at-risk ICU patients do not undergo EEG monitoring. Additional technological advances, innovative use of EEG technologists and ICU personnel, and clinical trials of new EEG monitoring technology and associated clinical outcomes are needed to achieve the goal of optimal use of EEG data for intensive care decisions.
authors.affiliation: Division of Pediatric and Developmental Neurology, Washington University, St. Louis School of Medicine, St. Louis Children's Hospital St. Louis, Missouri 63110-1093, USA.
authors.forename: Edwin
authors.initials: E
authors.lastname: Trevathan
mesh_terms: D003422:Critical Care / Q000379:methods*; D020000:Decision Support Systems, Clinical; D003936:Diagnosis, Computer-Assisted / Q000379:methods*; D004569:Electroencephalography / Q000379:methods*; D006801:Humans; D008991:Monitoring, Physiologic / Q000379:methods*; D018570:Risk Assessment / Q000379:methods*; D012307:Risk Factors; D013226:Status Epilepticus / Q000175:diagnosis*