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六种评分系统在脑卒中患者预后中的应用价值

Application Values of Six Scoring Systems in the Prognosis of Stroke Patients.

作者信息

Li Qun-Xi, Zhao Xiao-Jing, Fan Hai-Yan, Li Xiang-Nan, Wang Da-Li, Wang Xiu-Jie, Zhang Jiang, Chen Rui-Ying, Zhang Li

机构信息

Department of Neurosurgery, Affiliated Hospital of North China University of Science and Technology, Tangshan, China.

Department of Neurology, Affiliated Hospital of North China University of Science and Technology, Tangshan, China.

出版信息

Front Neurol. 2020 Jan 30;10:1416. doi: 10.3389/fneur.2019.01416. eCollection 2019.

DOI:10.3389/fneur.2019.01416
PMID:32082237
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7002556/
Abstract

The present study aimed to evaluate the prognostic value of Acute Physiology and Chronic Health Evaluation (APACHE; II and III), Chinese Stroke Scale (CSS), National Institutes of Health Stroke Score (NIHSS), activities of daily living (ADL) (Barthel index, BI), and Glasgow Coma Scale (GCS) scores for stroke patients. A total of 352 stroke patients were evaluated using APACHE II, APACHE III, CSS, NIHSS, ADL, and GCS scores within 24 h after admission. And these patients were consecutive admissions to the hospital. The endpoint was in-hospital death. The scores of these scales were compared between the survival group and death group, and the receiver operating characteristic (ROC) curves were drawn. The ability of each scoring system to predict the prognosis of patients was evaluated using the area under the ROC curve, and the areas under the curves (AUCs) of these six scales were compared. The AUCs of the APACHE II, APACHE III, CSS, NIHSS, ADL, and GCS scores were 0.882, 0.867, 0.832, 0.859, 0.838, and 0.819, respectively. APACHE II, APACHE III, CSS, NIHSS, ADL, and GCS scores have good predictive values in the prognosis of stroke patients. APACHE II is superior among the other five scales.

摘要

本研究旨在评估急性生理与慢性健康状况评分系统(APACHE;Ⅱ和Ⅲ)、中国卒中量表(CSS)、美国国立卫生研究院卒中量表(NIHSS)、日常生活活动能力(ADL)(巴氏指数,BI)以及格拉斯哥昏迷量表(GCS)评分对卒中患者的预后价值。共352例卒中患者在入院后24小时内使用APACHEⅡ、APACHEⅢ、CSS、NIHSS、ADL和GCS评分进行评估。这些患者为连续入院。终点为院内死亡。比较生存组和死亡组之间这些量表的评分,并绘制受试者工作特征(ROC)曲线。使用ROC曲线下面积评估每个评分系统预测患者预后 的能力,并比较这六个量表的曲线下面积(AUC)。APACHEⅡ、APACHEⅢ、CSS、NIHSS、ADL和GCS评分的AUC分别为0.882、0.867、0.832、0.859、0.838和0.819。APACHEⅡ、APACHEⅢ、CSS、NIHSS、ADL和GCS评分在卒中患者预后方面具有良好的预测价值。APACHEⅡ在其他五个量表中表现更优。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6fb9/7002556/498f9c713915/fneur-10-01416-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6fb9/7002556/15b85daab308/fneur-10-01416-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6fb9/7002556/498f9c713915/fneur-10-01416-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6fb9/7002556/15b85daab308/fneur-10-01416-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6fb9/7002556/498f9c713915/fneur-10-01416-g0002.jpg

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Medicine (Baltimore). 2018 Sep;97(39):e12419. doi: 10.1097/MD.0000000000012419.
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The Association between Diffusion MRI-Defined Infarct Volume and NIHSS Score in Patients with Minor Acute Stroke.轻度急性卒中患者中磁共振扩散加权成像定义的梗死体积与美国国立卫生研究院卒中量表评分之间的关联
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