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Value of Continuous Video EEG and EEG Responses to Thermesthesia Stimulation in Prognosis Evaluation of Comatose Patients after Cardiopulmonary Resuscitation

OBJECTIVE: To investigate the clinical value of video-electroencephalography (VEEG) and thermal stimulus on evaluating the prognosis of comatose patients after cardiopulmonary resuscitation. METHODS: Twenty eight comatose patients with cardiopulmonary resuscitation were included in the department of...

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Autores principales: Jianmin, Qiu, Xueliang, You, Liqin, Liu, Yongsheng, Wu, Licang, He, Yuanxin, Huang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: De Gruyter Open 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5850996/
https://www.ncbi.nlm.nih.gov/pubmed/29577094
http://dx.doi.org/10.1515/med-2018-0006
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author Jianmin, Qiu
Xueliang, You
Liqin, Liu
Yongsheng, Wu
Licang, He
Yuanxin, Huang
author_facet Jianmin, Qiu
Xueliang, You
Liqin, Liu
Yongsheng, Wu
Licang, He
Yuanxin, Huang
author_sort Jianmin, Qiu
collection PubMed
description OBJECTIVE: To investigate the clinical value of video-electroencephalography (VEEG) and thermal stimulus on evaluating the prognosis of comatose patients after cardiopulmonary resuscitation. METHODS: Twenty eight comatose patients with cardiopulmonary resuscitation were included in the department of ICU of the First Teaching Hospital of Fujian Medical University from February 2013 to March 2016. Of the included 28 patients, 20 cases died (death group) and 8 cases survived (survival group) after cardiopulmonary resuscitation. The VEEG, Glasgow Coma Scale (GCS) and APACHE II score were recorded and compared between the death and survival group. The prediction value of death for VEEG, GCS and APACHE II were evaluated through sensitivity, specificity and area under the receiver operating characteristic (ROC) curve (AUC). RESULTS: GCS and APACHEH II score were statistical different between the death and survival group (P<0.05). With the increase of VEEG grading, the mortality rate of patients increased significantly (P<0.05). Predicting value of mortality for GCS, VEEG and APACHEH II were 57.69%, 61.54% and 71.43% respectively without statistical difference (P>0.05). The death prediction sensitivity and specificity for GCS were 67.0% and 85.0%, for APACHEH II were 95.1% and 85.0%, for VEEG were 100.0% and 85.2%. VEEG has the highest sensitivity, Specificity, coincidence rate and Kappa vale compared to GCS, and APACHEH II. CONCLUSION: Video-electroencephalography is a useful tool for predicting the death risk for patients who received cardiopulmonary resuscitation.
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spelling pubmed-58509962018-03-23 Value of Continuous Video EEG and EEG Responses to Thermesthesia Stimulation in Prognosis Evaluation of Comatose Patients after Cardiopulmonary Resuscitation Jianmin, Qiu Xueliang, You Liqin, Liu Yongsheng, Wu Licang, He Yuanxin, Huang Open Med (Wars) Regular Articles OBJECTIVE: To investigate the clinical value of video-electroencephalography (VEEG) and thermal stimulus on evaluating the prognosis of comatose patients after cardiopulmonary resuscitation. METHODS: Twenty eight comatose patients with cardiopulmonary resuscitation were included in the department of ICU of the First Teaching Hospital of Fujian Medical University from February 2013 to March 2016. Of the included 28 patients, 20 cases died (death group) and 8 cases survived (survival group) after cardiopulmonary resuscitation. The VEEG, Glasgow Coma Scale (GCS) and APACHE II score were recorded and compared between the death and survival group. The prediction value of death for VEEG, GCS and APACHE II were evaluated through sensitivity, specificity and area under the receiver operating characteristic (ROC) curve (AUC). RESULTS: GCS and APACHEH II score were statistical different between the death and survival group (P<0.05). With the increase of VEEG grading, the mortality rate of patients increased significantly (P<0.05). Predicting value of mortality for GCS, VEEG and APACHEH II were 57.69%, 61.54% and 71.43% respectively without statistical difference (P>0.05). The death prediction sensitivity and specificity for GCS were 67.0% and 85.0%, for APACHEH II were 95.1% and 85.0%, for VEEG were 100.0% and 85.2%. VEEG has the highest sensitivity, Specificity, coincidence rate and Kappa vale compared to GCS, and APACHEH II. CONCLUSION: Video-electroencephalography is a useful tool for predicting the death risk for patients who received cardiopulmonary resuscitation. De Gruyter Open 2018-03-15 /pmc/articles/PMC5850996/ /pubmed/29577094 http://dx.doi.org/10.1515/med-2018-0006 Text en © 2018 Qiu Jianmin et al. http://creativecommons.org/licenses/by-nc-nd/4.0 This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.
spellingShingle Regular Articles
Jianmin, Qiu
Xueliang, You
Liqin, Liu
Yongsheng, Wu
Licang, He
Yuanxin, Huang
Value of Continuous Video EEG and EEG Responses to Thermesthesia Stimulation in Prognosis Evaluation of Comatose Patients after Cardiopulmonary Resuscitation
title Value of Continuous Video EEG and EEG Responses to Thermesthesia Stimulation in Prognosis Evaluation of Comatose Patients after Cardiopulmonary Resuscitation
title_full Value of Continuous Video EEG and EEG Responses to Thermesthesia Stimulation in Prognosis Evaluation of Comatose Patients after Cardiopulmonary Resuscitation
title_fullStr Value of Continuous Video EEG and EEG Responses to Thermesthesia Stimulation in Prognosis Evaluation of Comatose Patients after Cardiopulmonary Resuscitation
title_full_unstemmed Value of Continuous Video EEG and EEG Responses to Thermesthesia Stimulation in Prognosis Evaluation of Comatose Patients after Cardiopulmonary Resuscitation
title_short Value of Continuous Video EEG and EEG Responses to Thermesthesia Stimulation in Prognosis Evaluation of Comatose Patients after Cardiopulmonary Resuscitation
title_sort value of continuous video eeg and eeg responses to thermesthesia stimulation in prognosis evaluation of comatose patients after cardiopulmonary resuscitation
topic Regular Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5850996/
https://www.ncbi.nlm.nih.gov/pubmed/29577094
http://dx.doi.org/10.1515/med-2018-0006
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