Literature DB >> 29182970

Time to continuous electroencephalogram in repeated admissions to the pediatric intensive care unit.

Iván Sánchez Fernández1, Arnold J Sansevere2, Marina Gaínza-Lein3, Ersida Buraniqi2, Robert C Tasker4, Tobias Loddenkemper5.   

Abstract

PURPOSE: Describe timing from intensive care unit (ICU) admission to initiation of continuous electroencephalogram (cEEG) in repeated ICU admissions.
METHOD: We performed a retrospective observational study in pediatric patients who underwent repeated ICU admissions with cEEG from 2011 to 2013. The main outcome measure was time from ICU admission to cEEG.
RESULTS: There were 41 patients (54% males) with at least 2 ICU admissions with cEEG (median (p25-p75) age at first admission: 3.3 (0.3-8.4) years, at second admission: 3.9 (1.1-9.4) years), 7 patients (57% males, 9.9 (2.9-11.5) years) with at least 3 ICU admissions, and 5 patients (60% males, 10.1 (4-10.5) years) with at least 4 ICU admissions. One patient had 21 ICU admissions. The median (p25-p75) time from ICU admission to cEEG was not different during the first and second ICU admissions [10.7 (1.9-22.9) hours versus 13 (0.2-36.7) hours; p=0.908]. Among patients with electrographic seizures on first admission, time to cEEG was not different during the first and second admissions [7.9 (0.5-23.4) hours versus 14.5 (-2 to 44.5) hours; p=0.636]. Among patients with status epilepticus during the first admission, time to cEEG was not different between the first and second admissions [15.3 (9-79) hours versus 40.7 (19.3-42.6) hours; p=0.75].
CONCLUSIONS: The time from ICU admission to the initiation of cEEG did not decrease in second or subsequent ICU admissions, even in patients with seizures or status epilepticus on the first admission.
Copyright © 2017 British Epilepsy Association. Published by Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Critical care; Electroencephalogram; Intensive care unit; Pediatric; Seizures

Mesh:

Year:  2017        PMID: 29182970     DOI: 10.1016/j.seizure.2017.11.013

Source DB:  PubMed          Journal:  Seizure        ISSN: 1059-1311            Impact factor:   3.184


  3 in total

1.  EEG monitoring duration to identify electroencephalographic seizures in critically ill children.

Authors:  France W Fung; Jiaxin Fan; Lisa Vala; Marin Jacobwitz; Darshana S Parikh; Maureen Donnelly; Alexis A Topjian; Rui Xiao; Nicholas S Abend
Journal:  Neurology       Date:  2020-07-20       Impact factor: 9.910

2.  Validation of a Model for Targeted EEG Monitoring Duration in Critically Ill Children.

Authors:  France W Fung; Jiaxin Fan; Darshana S Parikh; Lisa Vala; Maureen Donnelly; Marin Jacobwitz; Alexis A Topjian; Rui Xiao; Nicholas S Abend
Journal:  J Clin Neurophysiol       Date:  2022-04-20       Impact factor: 2.590

3.  Machine learning models to predict electroencephalographic seizures in critically ill children.

Authors:  Jian Hu; France W Fung; Marin Jacobwitz; Darshana S Parikh; Lisa Vala; Maureen Donnelly; Alexis A Topjian; Nicholas S Abend; Rui Xiao
Journal:  Seizure       Date:  2021-03-04       Impact factor: 3.184

  3 in total

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