TY -的T1 -一个基于整数的分数预测功能结果在急性缺血性中风JF -神经学乔-神经病学SP - 1916 LP - 1922 - 10.1212 / WNL。首页0 b013e318259e221六世- 78 - 24 Faouzi盟盟- g . Ntaios AU - m - j·法拉利非盟- w·朗盟- k . Vemmos盟- p . Michel Y1 - 2012/06/12 UR - //www.ez-admanager.com/content/78首页/24/1916.abstract N2 -目的:开发和验证一个简单的,基于整数的分数预测功能结果在急性缺血性中风(AIS)使用变量现成的急诊室后入学。方法:逻辑回归进行推导的队列之前独立的AIS患者(急性中风洛桑(星体)的注册表和分析)来识别不利结果的预测因子(3个月改良Rankin量表评分在2)。一个基于整数得分系统为每个安装多变量模型的协变量是由β-coefficients;整体分数计算加权分数之和。模型验证内部使用2倍交叉验证技术和外部2独立军团(雅典和维也纳中风注册)。结果:年龄(A)、中风的严重程度(S)衡量入学NIH卒中量表得分,中风发病入院时间(T)的视觉范围字段(R),急性葡萄糖(A),和的意识水平(左)被确定为独立的预测因素不利的结果在星体的1645名患者。他们β-coefficients乘以4,四舍五入到最接近的整数来生成分数。接受者操作特征曲线下面积(AUC)分数的星体队列是0.850。比分是校准在推导(p = 0.43)和验证组(0.22(雅典,n = 1659)和0.49(维也纳,n = 653))。 AUCs were 0.937 (Athens), 0.771 (Vienna), and 0.902 (when pooled). An ASTRAL score of 31 indicates a 50% likelihood of unfavorable outcome. Conclusions: The ASTRAL score is a simple integer-based score to predict functional outcome using 6 readily available items at hospital admission. It performed well in double external validation and may be a useful tool for clinical practice and stroke research. AIS=acute ischemic stroke; ASTRAL=Acute Stroke Registry and Analysis of Lausanne; ASTRAL score=age, severity, time delay between stroke onset (or last proof of good health) and admission, range of visual field defect, acute glucose, and level of consciousness; AUC=area under the receiver operating characteristic curve; BI=Barthel Index; BOAS=Bologna Outcome Algorithm for Stroke; mRS=modified Rankin Scale; NIHSS=NIH Stroke Scale; SSV=Six Simple Variables; VIF=variance inflation factor ER -