@article{f1da805da2ed48d19959982de540bcb2,
title = "Background frequency can enhance the prognostication power of EEG patterns categories in comatose cardiac arrest survivors: a prospective, multicenter, observational cohort study",
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, NCT02827422. Registered 11 September 2016—Retrospectively registered.",
keywords = "Electroencephalography, Neurologic outcome, Out-of-hospital cardiac arrest, Prognosis, Targeted temperature management",
author = "{the Korean Hypothermia Network Investigators} and Kim, {Youn Jung} and Kim, {Min Jee} and Kim, {Yong Hwan} and Youn, {Chun Song} and Cho, {In Soo} and Kim, {Su Jin} and Wee, {Jung Hee} and Park, {Yoo Seok} and Oh, {Joo Suk} and Lee, {Dong Hoon} and Kim, {Won Young} and Kim, {Ji Hoon} and Park, {Kyu Nam} and Jeong, {Won Jung} and Choi, {Seung Pill} and Lee, {Mi Jin} and Lee, {Jong Seok} and Jang, {Tae Chang} and Inbyung Kim and Jonghwan Shin and Lee, {Ji Hwan} and Moon, {Hyung Jun} and Giwoon Kim and Choi, {Wook jin} and Chul Han and Lee, {Byung Kook} and Taeoh Jeong and Hong, {Min Jin} and Cho, {Gyu Chong} and Lee, {Young Hwan} and Youdong Sohn and You, {Je Sung} and Changsun Kim and Cha, {Kyoung Chul} and Cho, {Soo Hyung}",
note = "Funding Information: The following investigators participated in the Korean Hypothermia Network: Ji Hoon Kim, Bucheon St. Mary{\textquoteright}s Hospital, The Catholic University of Korea; Kyu Nam Park, Seoul St. Mary{\textquoteright}s Hospital, The Catholic University of Korea; Won Jung Jeong, St. Vincent{\textquoteright}s Hospital, The Catholic University of Korea; Seung Pill Choi, Yeouido St. Mary{\textquoteright}s Hospital, The Catholic University of Korea; Mi Jin Lee, Kyungpook National University School of Medicine; Jong-Seok Lee, Kyung Hee University Medical Center; Su Jin Kim, Korea University College of Medicine; Tae Chang Jang, Catholic University of Daegu College of Medicine; Inbyung Kim, Myongji Hospital, Seonam University College of Medicine; Yong Hwan Kim, Samsung Changwon Hospital, Sungkyunkwan University School of Medicine; Won Young Kim, Asan Medical Center, University of Ulsan College of Medicine; Jonghwan Shin, Seoul National University Boramae Medical Center; Ji Hwan Lee, Yonsei University College of Medicine; Hyung Jun Moon, Soonchunhyang University Hospital; Giwoon Kim, Soonchunhyang University Hospital; Wook-jin Choi, Ulsan University Hospital, University of Ulsan College of Medicine; Joo Suk Oh, Uijeongbu St. Mary{\textquoteright}s Hospital, The Catholic University of Korea; Chul Han, Ewha Womans University Mokdong Hospital; Byung Kook Lee, Chonnam National University Medical School; Taeoh Jeong, Research Institute of Clinical Medicine of Chonbuk National University and Chonbuk National University Hospital; Dong Hoon Lee, Chung-Ang University; Min Jin Hong, Chungbuk National University Hospital; Gyu Chong Cho, Hallym University; Young Hwan Lee, Hallym University Sacred Heart Hospital, Hallym University Medical Center; Youdong Sohn, Hallym University Sacred Heart, Hospital, Hallym University Medical Center; In Soo Cho, Hanil General Hospital; Je Sung You, Yonsei University College of Medicine; Changsun Kim, Hanyang University Guri Hospital; Kyoung-Chul Cha, Yonsei University Wonju College of Medicine; Soo Hyung Cho, Chosun University Hospital. Funding Information: This research was supported by the Basic Science Research Program, through the National Research Foundation of Korea (NRF-2021R1A2C2014304) funded by the Ministry of Science and ICT. Publisher Copyright: {\textcopyright} 2021, The Author(s).",
year = "2021",
month = dec,
day = "1",
doi = "10.1186/s13054-021-03823-y",
language = "English",
volume = "25",
journal = "Critical Care",
issn = "1364-8535",
publisher = "BioMed Central Ltd.",
number = "1",
}