Does Combining Biomarkers and Brain Images Provide Improved Prognostic Predictive Performance for Out-Of-Hospital Cardiac Arrest Survivors before Target Temperature Management?
We examined whether combining biomarkers measurements and brain images early after the return of spontaneous circulation improves prognostic performance compared with the use of either biomarkers or brain images for patients with cardiac arrest following target temperature management (TTM). This ret...
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MDPI AG
2020-03-01
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Series: | Journal of Clinical Medicine |
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Online Access: | https://www.mdpi.com/2077-0383/9/3/744 |
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Article |
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DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Seung Ha Son In Ho Lee Jung Soo Park In Sool Yoo Seung Whan Kim Jin Woong Lee Seung Ryu Yeonho You Jin Hong Min Yong Chul Cho Won Joon Jeong Se Kwang Oh Sung Uk Cho Hong Joon Ahn Changshin Kang Dong Hun Lee Byung Kook Lee Chun Song Youn |
spellingShingle |
Seung Ha Son In Ho Lee Jung Soo Park In Sool Yoo Seung Whan Kim Jin Woong Lee Seung Ryu Yeonho You Jin Hong Min Yong Chul Cho Won Joon Jeong Se Kwang Oh Sung Uk Cho Hong Joon Ahn Changshin Kang Dong Hun Lee Byung Kook Lee Chun Song Youn Does Combining Biomarkers and Brain Images Provide Improved Prognostic Predictive Performance for Out-Of-Hospital Cardiac Arrest Survivors before Target Temperature Management? Journal of Clinical Medicine out-of-hospital cardiac arrest prognosis neuron-specific enolase magnetic resonance imaging computed tomography |
author_facet |
Seung Ha Son In Ho Lee Jung Soo Park In Sool Yoo Seung Whan Kim Jin Woong Lee Seung Ryu Yeonho You Jin Hong Min Yong Chul Cho Won Joon Jeong Se Kwang Oh Sung Uk Cho Hong Joon Ahn Changshin Kang Dong Hun Lee Byung Kook Lee Chun Song Youn |
author_sort |
Seung Ha Son |
title |
Does Combining Biomarkers and Brain Images Provide Improved Prognostic Predictive Performance for Out-Of-Hospital Cardiac Arrest Survivors before Target Temperature Management? |
title_short |
Does Combining Biomarkers and Brain Images Provide Improved Prognostic Predictive Performance for Out-Of-Hospital Cardiac Arrest Survivors before Target Temperature Management? |
title_full |
Does Combining Biomarkers and Brain Images Provide Improved Prognostic Predictive Performance for Out-Of-Hospital Cardiac Arrest Survivors before Target Temperature Management? |
title_fullStr |
Does Combining Biomarkers and Brain Images Provide Improved Prognostic Predictive Performance for Out-Of-Hospital Cardiac Arrest Survivors before Target Temperature Management? |
title_full_unstemmed |
Does Combining Biomarkers and Brain Images Provide Improved Prognostic Predictive Performance for Out-Of-Hospital Cardiac Arrest Survivors before Target Temperature Management? |
title_sort |
does combining biomarkers and brain images provide improved prognostic predictive performance for out-of-hospital cardiac arrest survivors before target temperature management? |
publisher |
MDPI AG |
series |
Journal of Clinical Medicine |
issn |
2077-0383 |
publishDate |
2020-03-01 |
description |
We examined whether combining biomarkers measurements and brain images early after the return of spontaneous circulation improves prognostic performance compared with the use of either biomarkers or brain images for patients with cardiac arrest following target temperature management (TTM). This retrospective observational study involved comatose out-of-hospital cardiac arrest survivors. We analyzed neuron-specific enolase levels in serum (NSE) or cerebrospinal fluid (CSF), grey-to-white matter ratio by brain computed tomography, presence of high signal intensity (HSI) in diffusion-weighted imaging (DWI), and voxel-based apparent diffusion coefficient (ADC). Of the 58 patients, 33 (56.9%) had poor neurologic outcomes. CSF NSE levels showed better prognostic performance (area under the curve (AUC) 0.873, 95% confidence interval (CI) 0.749−0.950) than serum NSE levels (AUC 0.792, 95% CI 0.644−0.888). HSI in DWI showed the best prognostic performance (AUC 0.833, 95% CI 0.711−0.919). Combining CSF NSE levels and HSI in DWI had better prognostic performance (AUC 0.925, 95% CI 0.813−0.981) than each individual method, followed by the combination of serum NSE levels and HSI on DWI and that of CSF NSE levels and the percentage of voxels of ADC (AUC 0.901, 95% CI 0.792−0.965; AUC 0.849, 95% CI 0.717−0.935, respectively). Combining CSF/serum NSE levels and HSI in DWI before TTM improved the prognostic performance compared to either each individual method or other combinations. |
topic |
out-of-hospital cardiac arrest prognosis neuron-specific enolase magnetic resonance imaging computed tomography |
url |
https://www.mdpi.com/2077-0383/9/3/744 |
work_keys_str_mv |
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doaj-37c5a6dc8cbf45429cf99dfc61a326e12020-11-25T03:50:59ZengMDPI AGJournal of Clinical Medicine2077-03832020-03-019374410.3390/jcm9030744jcm9030744Does Combining Biomarkers and Brain Images Provide Improved Prognostic Predictive Performance for Out-Of-Hospital Cardiac Arrest Survivors before Target Temperature Management?Seung Ha Son0In Ho Lee1Jung Soo Park2In Sool Yoo3Seung Whan Kim4Jin Woong Lee5Seung Ryu6Yeonho You7Jin Hong Min8Yong Chul Cho9Won Joon Jeong10Se Kwang Oh11Sung Uk Cho12Hong Joon Ahn13Changshin Kang14Dong Hun Lee15Byung Kook Lee16Chun Song Youn17Department of Emergency Medicine, Chungnam National University Hospital, 282, Munhwa-ro, Jung-gu, Daejeon 35015, KoreaDepartment of Radiology, College of Medicine, Chungnam National University, 266, Munhwa-ro, Jung-gu, Daejeon 35015, KoreaDepartment of Emergency Medicine, Chungnam National University Hospital, 282, Munhwa-ro, Jung-gu, Daejeon 35015, KoreaDepartment of Emergency Medicine, Chungnam National University Hospital, 282, Munhwa-ro, Jung-gu, Daejeon 35015, KoreaDepartment of Emergency Medicine, Chungnam National University Hospital, 282, Munhwa-ro, Jung-gu, Daejeon 35015, KoreaDepartment of Emergency Medicine, Chungnam National University Hospital, 282, Munhwa-ro, Jung-gu, Daejeon 35015, KoreaDepartment of Emergency Medicine, Chungnam National University Hospital, 282, Munhwa-ro, Jung-gu, Daejeon 35015, KoreaDepartment of Emergency Medicine, Chungnam National University Hospital, 282, Munhwa-ro, Jung-gu, Daejeon 35015, KoreaDepartment of Emergency Medicine, Chungnam National University Hospital, 282, Munhwa-ro, Jung-gu, Daejeon 35015, KoreaDepartment of Emergency Medicine, Chungnam National University Hospital, 282, Munhwa-ro, Jung-gu, Daejeon 35015, KoreaDepartment of Emergency Medicine, Chungnam National University Hospital, 282, Munhwa-ro, Jung-gu, Daejeon 35015, KoreaDepartment of Emergency Medicine, Chungnam National University Hospital, 282, Munhwa-ro, Jung-gu, Daejeon 35015, KoreaDepartment of Emergency Medicine, Chungnam National University Hospital, 282, Munhwa-ro, Jung-gu, Daejeon 35015, KoreaDepartment of Emergency Medicine, Chungnam National University Hospital, 282, Munhwa-ro, Jung-gu, Daejeon 35015, KoreaDepartment of Emergency Medicine, Chungnam National University Hospital, 282, Munhwa-ro, Jung-gu, Daejeon 35015, KoreaDepartment of Emergency Medicine, Chonnam National University Medical School, Gwangju 61469, KoreaDepartment of Emergency Medicine, Chonnam National University Medical School, Gwangju 61469, KoreaDepartment of Emergency Medicine, Seoul St. Mary’s Hospital, The Catholic University of Korea, Seoul 06591, KoreaWe examined whether combining biomarkers measurements and brain images early after the return of spontaneous circulation improves prognostic performance compared with the use of either biomarkers or brain images for patients with cardiac arrest following target temperature management (TTM). This retrospective observational study involved comatose out-of-hospital cardiac arrest survivors. We analyzed neuron-specific enolase levels in serum (NSE) or cerebrospinal fluid (CSF), grey-to-white matter ratio by brain computed tomography, presence of high signal intensity (HSI) in diffusion-weighted imaging (DWI), and voxel-based apparent diffusion coefficient (ADC). Of the 58 patients, 33 (56.9%) had poor neurologic outcomes. CSF NSE levels showed better prognostic performance (area under the curve (AUC) 0.873, 95% confidence interval (CI) 0.749−0.950) than serum NSE levels (AUC 0.792, 95% CI 0.644−0.888). HSI in DWI showed the best prognostic performance (AUC 0.833, 95% CI 0.711−0.919). Combining CSF NSE levels and HSI in DWI had better prognostic performance (AUC 0.925, 95% CI 0.813−0.981) than each individual method, followed by the combination of serum NSE levels and HSI on DWI and that of CSF NSE levels and the percentage of voxels of ADC (AUC 0.901, 95% CI 0.792−0.965; AUC 0.849, 95% CI 0.717−0.935, respectively). Combining CSF/serum NSE levels and HSI in DWI before TTM improved the prognostic performance compared to either each individual method or other combinations.https://www.mdpi.com/2077-0383/9/3/744out-of-hospital cardiac arrestprognosisneuron-specific enolasemagnetic resonance imagingcomputed tomography |