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Evaluation of the Application of APACHE II Combined With NIHSS Score in the Short-Term Prognosis of Acute Cerebral Hemorrhage Patient
Objective: This study aims to evaluate the effects of combining Acute Physiology and Chronic Health Disease Classification System II (APACHE II) scores and the NIHSS score for short-term prognosis of cerebral hemorrhage patients. Methods: APACHE II and NIHSS scores were respectively carried out for...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6598469/ https://www.ncbi.nlm.nih.gov/pubmed/31293492 http://dx.doi.org/10.3389/fneur.2019.00475 |
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author | Zhao, Xiao-Jing Li, Qun-Xi Chang, Li-Sha Zhang, Jiang Wang, Da-Li Fan, Hai-Yan Zheng, Fu-Xia Wang, Xiu-Jie |
author_facet | Zhao, Xiao-Jing Li, Qun-Xi Chang, Li-Sha Zhang, Jiang Wang, Da-Li Fan, Hai-Yan Zheng, Fu-Xia Wang, Xiu-Jie |
author_sort | Zhao, Xiao-Jing |
collection | PubMed |
description | Objective: This study aims to evaluate the effects of combining Acute Physiology and Chronic Health Disease Classification System II (APACHE II) scores and the NIHSS score for short-term prognosis of cerebral hemorrhage patients. Methods: APACHE II and NIHSS scores were respectively carried out for 189 acute cerebral hemorrhage patients who were admitted to the hospital for 24 h, and the area under ROC curve was used to measure the ability of these score systems to forecast the prognosis, in order to find the best dividing value. The discriminant analysis method should be used to carry out a comprehensive analysis of these two score methods and establish the mathematical model to provide a reasonable basis for accurately mastering these illness conditions, and its prognosis. Results: The areas under the ROC curve of APACHE II and NIHSS scores in forecasting cerebral hemorrhage prognosis was 0.853 and 0.845, respectively, the dividing value was 15 and 17, respectively, and the forecasting accuracy was 77.2 and 79.9%, respectively; The forecasting accuracy of the combined discrimination model was 85.96%. Conclusion: APACHE II and NIHSS scores have good forecasting value to the short-term prognosis of acute cerebral hemorrhage patients, and the combination of these two can provide a higher forecasting value. |
format | Online Article Text |
id | pubmed-6598469 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-65984692019-07-10 Evaluation of the Application of APACHE II Combined With NIHSS Score in the Short-Term Prognosis of Acute Cerebral Hemorrhage Patient Zhao, Xiao-Jing Li, Qun-Xi Chang, Li-Sha Zhang, Jiang Wang, Da-Li Fan, Hai-Yan Zheng, Fu-Xia Wang, Xiu-Jie Front Neurol Neurology Objective: This study aims to evaluate the effects of combining Acute Physiology and Chronic Health Disease Classification System II (APACHE II) scores and the NIHSS score for short-term prognosis of cerebral hemorrhage patients. Methods: APACHE II and NIHSS scores were respectively carried out for 189 acute cerebral hemorrhage patients who were admitted to the hospital for 24 h, and the area under ROC curve was used to measure the ability of these score systems to forecast the prognosis, in order to find the best dividing value. The discriminant analysis method should be used to carry out a comprehensive analysis of these two score methods and establish the mathematical model to provide a reasonable basis for accurately mastering these illness conditions, and its prognosis. Results: The areas under the ROC curve of APACHE II and NIHSS scores in forecasting cerebral hemorrhage prognosis was 0.853 and 0.845, respectively, the dividing value was 15 and 17, respectively, and the forecasting accuracy was 77.2 and 79.9%, respectively; The forecasting accuracy of the combined discrimination model was 85.96%. Conclusion: APACHE II and NIHSS scores have good forecasting value to the short-term prognosis of acute cerebral hemorrhage patients, and the combination of these two can provide a higher forecasting value. Frontiers Media S.A. 2019-06-21 /pmc/articles/PMC6598469/ /pubmed/31293492 http://dx.doi.org/10.3389/fneur.2019.00475 Text en Copyright © 2019 Zhao, Li, Chang, Zhang, Wang, Fan, Zheng and Wang. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Neurology Zhao, Xiao-Jing Li, Qun-Xi Chang, Li-Sha Zhang, Jiang Wang, Da-Li Fan, Hai-Yan Zheng, Fu-Xia Wang, Xiu-Jie Evaluation of the Application of APACHE II Combined With NIHSS Score in the Short-Term Prognosis of Acute Cerebral Hemorrhage Patient |
title | Evaluation of the Application of APACHE II Combined With NIHSS Score in the Short-Term Prognosis of Acute Cerebral Hemorrhage Patient |
title_full | Evaluation of the Application of APACHE II Combined With NIHSS Score in the Short-Term Prognosis of Acute Cerebral Hemorrhage Patient |
title_fullStr | Evaluation of the Application of APACHE II Combined With NIHSS Score in the Short-Term Prognosis of Acute Cerebral Hemorrhage Patient |
title_full_unstemmed | Evaluation of the Application of APACHE II Combined With NIHSS Score in the Short-Term Prognosis of Acute Cerebral Hemorrhage Patient |
title_short | Evaluation of the Application of APACHE II Combined With NIHSS Score in the Short-Term Prognosis of Acute Cerebral Hemorrhage Patient |
title_sort | evaluation of the application of apache ii combined with nihss score in the short-term prognosis of acute cerebral hemorrhage patient |
topic | Neurology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6598469/ https://www.ncbi.nlm.nih.gov/pubmed/31293492 http://dx.doi.org/10.3389/fneur.2019.00475 |
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