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Predicting the outcomes for out-of-hospital cardiac arrest patients using multiple biomarkers and suspension microarray assays

Predicting the prognosis for cardiac arrest is still challenging. Combining biomarkers from diverse pathophysiological pathways may provide reliable indicators for the severity of injury and predictors of long-term outcomes. We investigated the feasibility of using a multimarker strategy with key in...

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Autores principales: Huang, Chien-Hua, Tsai, Min-Shan, Chien, Kuo-Liong, Chang, Wei-Tien, Wang, Tzung-Dau, Chen, Shyr-Chyr, Ma, Matthew Huei-Ming, Hsu, Hsin-Yun, Chen, Wen-Jone
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4891702/
https://www.ncbi.nlm.nih.gov/pubmed/27256246
http://dx.doi.org/10.1038/srep27187
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author Huang, Chien-Hua
Tsai, Min-Shan
Chien, Kuo-Liong
Chang, Wei-Tien
Wang, Tzung-Dau
Chen, Shyr-Chyr
Ma, Matthew Huei-Ming
Hsu, Hsin-Yun
Chen, Wen-Jone
author_facet Huang, Chien-Hua
Tsai, Min-Shan
Chien, Kuo-Liong
Chang, Wei-Tien
Wang, Tzung-Dau
Chen, Shyr-Chyr
Ma, Matthew Huei-Ming
Hsu, Hsin-Yun
Chen, Wen-Jone
author_sort Huang, Chien-Hua
collection PubMed
description Predicting the prognosis for cardiac arrest is still challenging. Combining biomarkers from diverse pathophysiological pathways may provide reliable indicators for the severity of injury and predictors of long-term outcomes. We investigated the feasibility of using a multimarker strategy with key independent biomarkers to improve the prediction of outcomes in cardiac arrest. Adult out-of-hospital cardiac arrest patients with sustained return of spontaneous circulation were prospectively enrolled in this study. Blood samples were taken at 2 and 24 hours after cardiac arrest. Suspension microarray assays were used to test 21 different biomarkers. A total of 99 patients were enrolled, 45 of whom survived to hospital discharge. We identified 11 biomarkers that, when combined with clinical variables and factors of APACHE II score and history of arrhythmia, were independent determinants for outcome of in-hospital mortality (concordance = 0.9249, standard error = 0.0779). Three biomarkers combined with APACHE II and age were independent determinants for favorable neurological outcome at hospital discharge (area under the receiver-operator characteristic curve, 0.938; 95% confidence interval, 0.854 ~ 1.0). In conclusion, a systemic multiple biomarker approach using suspension microarray assays can identify independent predictors and model the outcomes of cardiac arrest patients during the post-cardiac arrest period.
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spelling pubmed-48917022016-06-10 Predicting the outcomes for out-of-hospital cardiac arrest patients using multiple biomarkers and suspension microarray assays Huang, Chien-Hua Tsai, Min-Shan Chien, Kuo-Liong Chang, Wei-Tien Wang, Tzung-Dau Chen, Shyr-Chyr Ma, Matthew Huei-Ming Hsu, Hsin-Yun Chen, Wen-Jone Sci Rep Article Predicting the prognosis for cardiac arrest is still challenging. Combining biomarkers from diverse pathophysiological pathways may provide reliable indicators for the severity of injury and predictors of long-term outcomes. We investigated the feasibility of using a multimarker strategy with key independent biomarkers to improve the prediction of outcomes in cardiac arrest. Adult out-of-hospital cardiac arrest patients with sustained return of spontaneous circulation were prospectively enrolled in this study. Blood samples were taken at 2 and 24 hours after cardiac arrest. Suspension microarray assays were used to test 21 different biomarkers. A total of 99 patients were enrolled, 45 of whom survived to hospital discharge. We identified 11 biomarkers that, when combined with clinical variables and factors of APACHE II score and history of arrhythmia, were independent determinants for outcome of in-hospital mortality (concordance = 0.9249, standard error = 0.0779). Three biomarkers combined with APACHE II and age were independent determinants for favorable neurological outcome at hospital discharge (area under the receiver-operator characteristic curve, 0.938; 95% confidence interval, 0.854 ~ 1.0). In conclusion, a systemic multiple biomarker approach using suspension microarray assays can identify independent predictors and model the outcomes of cardiac arrest patients during the post-cardiac arrest period. Nature Publishing Group 2016-06-03 /pmc/articles/PMC4891702/ /pubmed/27256246 http://dx.doi.org/10.1038/srep27187 Text en Copyright © 2016, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
spellingShingle Article
Huang, Chien-Hua
Tsai, Min-Shan
Chien, Kuo-Liong
Chang, Wei-Tien
Wang, Tzung-Dau
Chen, Shyr-Chyr
Ma, Matthew Huei-Ming
Hsu, Hsin-Yun
Chen, Wen-Jone
Predicting the outcomes for out-of-hospital cardiac arrest patients using multiple biomarkers and suspension microarray assays
title Predicting the outcomes for out-of-hospital cardiac arrest patients using multiple biomarkers and suspension microarray assays
title_full Predicting the outcomes for out-of-hospital cardiac arrest patients using multiple biomarkers and suspension microarray assays
title_fullStr Predicting the outcomes for out-of-hospital cardiac arrest patients using multiple biomarkers and suspension microarray assays
title_full_unstemmed Predicting the outcomes for out-of-hospital cardiac arrest patients using multiple biomarkers and suspension microarray assays
title_short Predicting the outcomes for out-of-hospital cardiac arrest patients using multiple biomarkers and suspension microarray assays
title_sort predicting the outcomes for out-of-hospital cardiac arrest patients using multiple biomarkers and suspension microarray assays
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4891702/
https://www.ncbi.nlm.nih.gov/pubmed/27256246
http://dx.doi.org/10.1038/srep27187
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