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用于紧急目的地的现场评估卒中分诊:一种检测大血管闭塞性卒中的简单准确的院前量表

Field Assessment Stroke Triage for Emergency Destination: A Simple and Accurate Prehospital Scale to Detect Large Vessel Occlusion Strokes.

作者信息

Lima Fabricio O, Silva Gisele S, Furie Karen L, Frankel Michael R, Lev Michael H, Camargo Érica C S, Haussen Diogo C, Singhal Aneesh B, Koroshetz Walter J, Smith Wade S, Nogueira Raul G

机构信息

From the Centro de Ciências da Saúde, Curso de Medicina, Universidade de Fortaleza, Fortaleza-CE, Brazil (F.O.L.); Neurovascular Service, Department of Neurology, Federal University of São Paulo, São Paulo-SP, Brazil (G.S.S.); Department of Neurology, Brown University, Providence, RI (K.L.F.); Neuroendovascular and Neurocritical Care Services, Marcus Stroke and Neuroscience Center, Grady Memorial Hospital, Emory University School of Medicine, Atlanta, GA (M.R.F., D.C.H., R.G.N.); Department of Radiology (M.H.L.) and Stroke Service, Department of Neurology (É.C.S.C., A.B.S.), Massachusetts General Hospital, Boston; National Institutes of Health, National Institute of Neurological Disorders and Stroke, Bethesda, MD (W.J.K.); and UCSF Neurovascular Service, Department of Neurology, University of California San Francisco (W.S.S.).

出版信息

Stroke. 2016 Aug;47(8):1997-2002. doi: 10.1161/STROKEAHA.116.013301. Epub 2016 Jun 30.

Abstract

BACKGROUND AND PURPOSE

Patients with large vessel occlusion strokes (LVOS) may be better served by direct transfer to endovascular capable centers avoiding hazardous delays between primary and comprehensive stroke centers. However, accurate stroke field triage remains challenging. We aimed to develop a simple field scale to identify LVOS.

METHODS

The Field Assessment Stroke Triage for Emergency Destination (FAST-ED) scale was based on items of the National Institutes of Health Stroke Scale (NIHSS) with higher predictive value for LVOS and tested in the Screening Technology and Outcomes Project in Stroke (STOPStroke) cohort, in which patients underwent computed tomographic angiography within the first 24 hours of stroke onset. LVOS were defined by total occlusions involving the intracranial internal carotid artery, middle cerebral artery-M1, middle cerebral artery-2, or basilar arteries. Patients with partial, bihemispheric, and anterior+posterior circulation occlusions were excluded. Receiver operating characteristic curve, sensitivity, specificity, positive predictive value, and negative predictive value of FAST-ED were compared with the NIHSS, Rapid Arterial Occlusion Evaluation (RACE) scale, and Cincinnati Prehospital Stroke Severity (CPSS) scale.

RESULTS

LVO was detected in 240 of the 727 qualifying patients (33%). FAST-ED had comparable accuracy to predict LVO to the NIHSS and higher accuracy than RACE and CPSS (area under the receiver operating characteristic curve: FAST-ED=0.81 as reference; NIHSS=0.80, P=0.28; RACE=0.77, P=0.02; and CPSS=0.75, P=0.002). A FAST-ED ≥4 had sensitivity of 0.60, specificity of 0.89, positive predictive value of 0.72, and negative predictive value of 0.82 versus RACE ≥5 of 0.55, 0.87, 0.68, and 0.79, and CPSS ≥2 of 0.56, 0.85, 0.65, and 0.78, respectively.

CONCLUSIONS

FAST-ED is a simple scale that if successfully validated in the field, it may be used by medical emergency professionals to identify LVOS in the prehospital setting enabling rapid triage of patients.

摘要

背景与目的

对于大血管闭塞性卒中(LVOS)患者,直接转运至具备血管内治疗能力的中心可能效果更佳,可避免在初级和综合卒中中心之间出现危险的延误。然而,准确的卒中现场分诊仍然具有挑战性。我们旨在开发一种简单的现场量表来识别LVOS。

方法

急诊目的地现场评估卒中分诊(FAST-ED)量表基于美国国立卫生研究院卒中量表(NIHSS)中的项目,对LVOS具有更高的预测价值,并在卒中筛查技术与结局项目(STOPStroke)队列中进行了测试,该队列中的患者在卒中发作后的头24小时内接受了计算机断层血管造影。LVOS定义为涉及颅内颈内动脉、大脑中动脉-M1、大脑中动脉-M2或基底动脉的完全闭塞。部分、双侧半球和前后循环闭塞的患者被排除在外。将FAST-ED的受试者工作特征曲线、敏感性、特异性、阳性预测值和阴性预测值与NIHSS、快速动脉闭塞评估(RACE)量表和辛辛那提院前卒中严重程度(CPSS)量表进行比较。

结果

727例符合条件的患者中有240例(33%)检测到LVO。FAST-ED预测LVO的准确性与NIHSS相当,且高于RACE和CPSS(受试者工作特征曲线下面积:FAST-ED = 参考值0.81;NIHSS = 0.80,P = 0.28;RACE = 0.77,P = 0.02;CPSS = 0.75,P = 0.002)。FAST-ED≥4时,敏感性为0.60,特异性为0.89,阳性预测值为0.72,阴性预测值为0.82;而RACE≥5时,敏感性为0.55,特异性为0.87,阳性预测值为0.68,阴性预测值为0.79;CPSS≥2时,敏感性为0.56,特异性为0.85,阳性预测值为0.65,阴性预测值为0.78。

结论

FAST-ED是一种简单的量表,如果能在现场成功验证,医疗急救专业人员可在院前环境中使用它来识别LVOS,从而实现对患者的快速分诊。

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