基于列线图的院前急性缺血性脑卒中筛查临床工具

IF 0.5 Q4 CLINICAL NEUROLOGY
Alireza Baratloo, Mahtab Ramezani, Hosein Rafiemanesh, Meisam Sharifi, Somayeh Karimi
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引用次数: 0

摘要

背景:我们认为,设计一种在敏感性和特异性方面具有可比性的新工具,可能在院前阶段快速、更准确地诊断急性缺血性中风(AIS)方面发挥重要作用。因此,我们打算开发一种新的临床工具来诊断院前阶段的AIS。方法:这是一项横断面诊断准确性研究。所有被转移到急诊科(ED)接受脑磁共振成像(MRI)并有AIS印象的患者在院前阶段通过9种用于中风诊断的临床工具进行评估,包括快速动脉闭塞评估(RACE)、辛辛那提院前中风量表(CPSS)、洛杉矶院前中风筛查(LAPSS),墨尔本救护车卒中筛查(MASS)、代码卒中的院前医学评估(Med PACS)、安大略省院前卒中筛查工具(OPSS)、院前救护车卒中测试(PreHAST)、急诊室卒中识别(ROSIER)和面臂言语测试(FAST),共审查并记录了19项内容。新的临床工具是基于多变量逻辑回归分析的逆向方法开发的。用受试者工作特征曲线下面积(AUC-ROC)评估用于诊断AIS的新临床工具的辨别能力。结果:对806例患者的数据进行分析;其中男性占57.4%。研究患者的平均年龄为66.9岁[标准差(SD)=13.9]。在多变量模型中,保留了8个项目。新临床工具的AUC-ROC为0.893[95%置信区间(CI):0.869-0.917],其最佳分界点是阳性AIS评分≥3。在此临界点,敏感性和特异性分别为84.42%和79.72%。结论:我们介绍了一种新的基于列线图的临床工具,用于院前阶段AIS的诊断,该工具具有可接受的特异性和敏感性;此外,它与以前的工具具有可比性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A nomogram-based clinical tool for acute ischemic stroke screening in prehospital setting.

Background: We believe that designing a new tool which is comparable in terms of both sensitivity and specificity may play an important role in rapid and more accurate diagnosis of acute ischemic stroke (AIS) in prehospital stage. Therefore, we intended to develop a new clinical tool for the diagnosis of AIS in the prehospital stage. Methods: This was a cross-sectional diagnostic accuracy study. All patients transferred to the emergency department (ED) who underwent brain magnetic resonance imaging (MRI) with impression of AIS were evaluated by 9 clinical tools for stroke diagnosis in the pre-hospital phase including Rapid Arterial Occlusion Evaluation (RACE), Cincinnati Prehospital Stroke Scale (CPSS), Los Angeles Prehospital Stroke Screen (LAPSS), Melbourne Ambulance Stroke Screen (MASS), Medic Prehospital Assessment for Code Stroke (Med PACS), Ontario Prehospital Stroke Screening Tool (OPSS), PreHospital Ambulance Stroke Test (PreHAST), Recognition of Stroke in the Emergency Room (ROSIER), and Face Arm Speech Test (FAST), and totally 19 items were reviewed and recorded. The new clinical tool was developed based on backward method of multivariable logistic regression analysis. The discrimination power of the new clinical tool for diagnosis of AIS was assessed with the area under the receiver operating characteristic curve (AUC-ROC). Results: Data from 806 patients were analyzed; of them, 57.4% were men. The mean age of the study patients was 66.9 years [standard deviation (SD) = 13.9]. In the multivariable model, 8 items remained. The AUC-ROC of the new clinical tool was 0.893 [95% confidence interval (CI): 0.869-0.917], and its best cut-off point was score ≥ 3 for positive AIS. At this cut-off point, sensitivity and specificity were 84.42% and 79.72%, respectively. Conclusion: We introduced a new nomogram-based clinical tool for the diagnosis of AIS in the prehospital stage, which has acceptable specificity and sensitivity; moreover, it is comparable with previous tools.

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来源期刊
Current Journal of Neurology
Current Journal of Neurology CLINICAL NEUROLOGY-
CiteScore
0.80
自引率
14.30%
发文量
30
审稿时长
12 weeks
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