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Neuron-Specific Enolase as a Predictor of Neurologic Outcomes in Extracorporeal Cardiopulmonary Resuscitation Patients

Authors
 Jeong, Yong Ho  ;  Lim, Suk Kyung  ;  Cho, Yongil  ;  Kim, Yun Jin  ;  Jang, Hyo Jun  ;  Cho, Yang Hyun  ;  Shin, Yonghoon  ;  Jung, Jae Seung  ;  Kang, Jin Kook  ;  Cho, Sung-Min  ;  Lee, Jun Ho 
Citation
 JOURNAL OF CLINICAL MEDICINE, Vol.13(14), 2024-07 
Article Number
 4135 
Journal Title
JOURNAL OF CLINICAL MEDICINE
ISSN
 2077-0383 
Issue Date
2024-07
Keywords
extracorporeal life support ; extracorporeal cardiopulmonary resuscitation ; neuron-specific enolase ; neurologic outcome ; mortality
Abstract
Background: Neuron-specific enolase (NSE) has traditionally been used as a biomarker to predict neurologic outcomes after cardiac arrest. This study aimed to evaluate the utility of NSE in predicting neurologic outcomes in patients undergoing extracorporeal cardiopulmonary resuscitation (ECPR). Methods: This observational cohort study included 47 consecutive adult ECPR patients (median age, 59.0 years; 74.5% males) treated between January 2018 and December 2021 at a tertiary extracorporeal life support center. The primary outcome was a poor neurologic outcome, defined as a Cerebral Performance Category score of 3-5 at hospital discharge. Results: Twelve (25.5%) patients had abnormal findings on computed tomography of the brain. A poor neurologic outcome was demonstrated in 22 (46.8%) patients. The NSE level at 72 h after ECPR showed the best prediction power for a poor neurologic outcome compared with NSE at 24 and 48 h. A cutoff value exceeding 61.9 mu g/L for NSE at 72 h yielded an area under the curve (AUC) of 0.791 for predicting poor neurologic outcomes and exceeding 62.1 mu g/L with an AUC of 0.838 for 30-day mortality. Conclusions: NSE levels at 72 h after ECPR appear to be a reliable biomarker for predicting poor neurologic outcomes and 30-day mortality in ECPR patients.
DOI
10.3390/jcm13144135
Appears in Collections:
7. Others (기타) > Others (기타) > 1. Journal Papers
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/206465
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