Detailed Information

Cited 3 time in webofscience Cited 3 time in scopus
Metadata Downloads

Background frequency can enhance the prognostication power of EEG patterns categories in comatose cardiac arrest survivors: a prospective, multicenter, observational cohort study

Authors
Kim, Youn-JungKim, Min-JeeKim, Yong HwanYoun, Chun SongCho, In SooKim, Su JinWee, Jung HeePark, Yoo SeokOh, Joo SukLee, Dong HoonKim, Won Young
Issue Date
17-Nov-2021
Publisher
BioMed Central
Keywords
Out-of-hospital cardiac arrest; Electroencephalography; Prognosis; Neurologic outcome; Targeted temperature management
Citation
Critical Care, v.25, no.1
Indexed
SCIE
Journal Title
Critical Care
Volume
25
Number
1
URI
https://scholarworks.korea.ac.kr/kumedicine/handle/2020.sw.kumedicine/54810
DOI
10.1186/s13054-021-03823-y
ISSN
1466-609X
1364-8535
Abstract
Background: We assessed the prognostic accuracy of the standardized electroencephalography (EEG) patterns ("highly malignant," "malignant," and "benign") according to the EEG timing (early vs. late) and investigated the EEG features to enhance the predictive power for poor neurologic outcome at 1 month after cardiac arrest. Methods: This prospective, multicenter, observational, cohort study using data from Korean Hypothermia Network prospective registry included adult patients with out-of-hospital cardiac arrest (OHCA) treated with targeted temperature management (TTM) and underwent standard EEG within 7 days after cardiac arrest from 14 university-affiliated teaching hospitals in South Korea between October 2015 and December 2018. Early EEG was defined as EEG performed within 72 h after cardiac arrest. The primary outcome was poor neurological outcome (Cerebral Performance Category score 3-5) at 1 month. Results: Among 489 comatose OHCA survivors with a median EEG time of 46.6 h, the "highly malignant" pattern (40.7%) was most prevalent, followed by the "benign" (33.9%) and "malignant" (25.4%) patterns. All patients with the highly malignant EEG pattern had poor neurologic outcomes, with 100% specificity in both groups but 59.3% and 56.1% sensitivity in the early and late EEG groups, respectively. However, for patients with "malignant" patterns, 84.8% sensitivity, 77.0% specificity, and 89.5% positive predictive value for poor neurologic outcome were observed. Only 3.5% (9/256) of patients with background EEG frequency of predominant delta waves or undetermined had good neurologic survival. The combination of "highly malignant" or "malignant" EEG pattern with background frequency of delta waves or undetermined increased specificity and positive predictive value, respectively, to up to 98.0% and 98.7%. Conclusions: The "highly malignant" patterns predicted poor neurologic outcome with a high specificity regardless of EEG measurement time. The assessment of predominant background frequency in addition to EEG patterns can increase the prognostic value of OHCA survivors. Trial registration KORHN-PRO, . Registered 11 September 2016-Retrospectively registered.
Files in This Item
There are no files associated with this item.
Appears in
Collections
2. Clinical Science > Department of Emergency Medicine > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Kim, Su Jin photo

Kim, Su Jin
Anam Hospital (Department of Emergency Medicine, Anam Hospital)
Read more

Altmetrics

Total Views & Downloads

BROWSE