2020
DOI: 10.1212/wnl.0000000000010421
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EEG monitoring duration to identify electroencephalographic seizures in critically ill children

Abstract: ObjectivesDetermine the optimal duration of continuous EEG monitoring (CEEG) for electrographic seizure (ES) identification in critically ill children.MethodsWe performed a prospective observational cohort study of 719 consecutive critically ill children with encephalopathy. We evaluated baseline clinical risk factors (age and prior clinically evident seizures) and emergent CEEG risk factors (epileptiform discharges and ictal-interictal continuum patterns) using a multi-state survival model. For each subgroup,… Show more

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Cited by 16 publications
(35 citation statements)
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“…32 The methods and data unrelated to PRP have been reported previously. [14][15][16]21,22,33 We enrolled consecutive critically ill children with acute encephalopathy with and without epilepsy diagnoses treated in the Pediatric Intensive Care Unit of a quaternary care hospital who underwent clinically indicated CEEG to screen for ES based on a guideline-adherent [2][3][4] institutional pathway 34 between April 2017 and November 2020. We excluded (1) neonates (<30 days old), (2) patients who received brief epilepsy surgery care in the Pediatric Intensive Care Unit, and (3) patients admitted after >2 days of care for refractory status epilepticus at a different institution.…”
Section: Materialsandmethodsmentioning
confidence: 99%
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“…32 The methods and data unrelated to PRP have been reported previously. [14][15][16]21,22,33 We enrolled consecutive critically ill children with acute encephalopathy with and without epilepsy diagnoses treated in the Pediatric Intensive Care Unit of a quaternary care hospital who underwent clinically indicated CEEG to screen for ES based on a guideline-adherent [2][3][4] institutional pathway 34 between April 2017 and November 2020. We excluded (1) neonates (<30 days old), (2) patients who received brief epilepsy surgery care in the Pediatric Intensive Care Unit, and (3) patients admitted after >2 days of care for refractory status epilepticus at a different institution.…”
Section: Materialsandmethodsmentioning
confidence: 99%
“…Definitions of key variables have been published previously. [14][15][16]21,22,33 ES were defined as abnormal paroxysmal events that were different from the background, lasted longer than 10 s, had a plausible electrographic field, and had a temporal-spatial evolution in morphology, frequency, and amplitude. 37 The primary electroencephalographer (F.W.F.)…”
Section: Materialsandmethodsmentioning
confidence: 99%
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“…A model in critically ill children has provided initial evidence-based guidance regarding the duration of CEEG for specific patient cohorts. 50 Overall, an ES prediction model employing five readily available clinical and EEG variables performed well when validated in a new cohort. The three clinical variables (age, acute encephalopathy category, and clinically evident seizure[s] prior to CEEG initiation) are readily accessible on admission.…”
Section: Discussionmentioning
confidence: 86%
“…Finally, this model might be useful in selecting which patients should have CEEG initiated, but it does not inform CEEG duration. A model in critically ill children has provided initial evidence‐based guidance regarding the duration of CEEG for specific patient cohorts 50 …”
Section: Discussionmentioning
confidence: 99%