Pomona Large Vessel Occlusion Screening Tool for Prehospital and Emergency Room Settings.

Q1 Medicine Interventional Neurology Pub Date : 2018-04-01 Epub Date: 2018-02-13 DOI:10.1159/000486515
Kessarin Panichpisal, Kenneth Nugent, Maharaj Singh, Richard Rovin, Reji Babygirija, Yogesh Moradiya, Karen Tse-Chang, Kimberly A Jones, Katrina J Woolfolk, Debbie Keasler, Bhupat Desai, Parinda Sakdanaraseth, Paphavee Sakdanaraseth, Alimohammad Moalem, Nazli Janjua
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引用次数: 8

Abstract

Background: Early identification of patients with acute ischemic strokes due to large vessel occlusions (LVO) is critical. We propose a simple risk score model to predict LVO.

Method: The proposed scale (Pomona Scale) ranges from 0 to 3 and includes 3 items: gaze deviation, expressive aphasia, and neglect. We reviewed a cohort of all acute stroke activation patients between February 2014 and January 2016. The predictive performance of the Pomona Scale was determined and compared with several National Institutes of Health Stroke Scale (NIHSS) cutoffs (≥4, ≥6, ≥8, and ≥10), the Los Angeles Motor Scale (LAMS), the Cincinnati Prehospital Stroke Severity (CPSS) scale, the Vision Aphasia and Neglect Scale (VAN), and the Prehospital Acute Stroke Severity Scale (PASS).

Results: LVO was detected in 94 of 776 acute stroke activations (12%). A Pomona Scale ≥2 had comparable accuracy to predict LVO as the VAN and CPSS scales and higher accuracy than Pomona Scale ≥1, LAMS, PASS, and NIHSS. A Pomona Scale ≥2 had an accuracy (area under the curve) of 0.79, a sensitivity of 0.86, a specificity of 0.70, a positive predictive value of 0.71, and a negative predictive value of 0.97 for the detection of LVO. We also found that the presence of either neglect or gaze deviation alone had comparable accuracy of 0.79 as Pomona Scale ≥2 to detect LVO.

Conclusion: The Pomona Scale is a simple and accurate scale to predict LVO. In addition, the presence of either gaze deviation or neglect also suggests the possibility of LVO.

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用于院前和急诊室设置的Pomona大血管阻塞筛查工具。
背景:早期识别由大血管闭塞(LVO)引起的急性缺血性卒中患者是至关重要的。我们提出了一个简单的风险评分模型来预测LVO。方法:提出的量表(Pomona量表)范围为0 ~ 3,包括凝视偏差、表达性失语症和忽视3个项目。我们回顾了2014年2月至2016年1月期间所有急性卒中激活患者的队列。确定Pomona量表的预测性能,并与美国国立卫生研究院卒中量表(NIHSS)的几个截止值(≥4、≥6、≥8和≥10)、洛杉矶运动量表(rams)、辛辛那提院前卒中严重程度量表(CPSS)、视觉失语和忽视量表(VAN)和院前急性卒中严重程度量表(PASS)进行比较。结果:776例急性卒中患者中有94例检测到LVO(12%)。Pomona量表≥2预测LVO的准确度与VAN和CPSS量表相当,高于Pomona量表≥1、LAMS、PASS和NIHSS。Pomona量表≥2对LVO检测的准确度(曲线下面积)为0.79,灵敏度为0.86,特异性为0.70,阳性预测值为0.71,阴性预测值为0.97。我们还发现,单独存在忽视或凝视偏差与Pomona量表≥2检测LVO的准确度相当,为0.79。结论:Pomona量表是一种简便、准确的LVO预测量表。此外,注视偏差或忽视的存在也提示LVO的可能性。
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Interventional Neurology
Interventional Neurology CLINICAL NEUROLOGY-
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