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使用因子分析对美国国立卫生研究院卒中量表随访部分进行缩写

Abbreviation of the Follow-Up NIH Stroke Scale Using Factor Analysis.

作者信息

Raza Syed Ali, Frankel Michael R, Rangaraju Srikant

出版信息

Cerebrovasc Dis Extra. 2017;7(3):120-129. doi: 10.1159/000479933. Epub 2017 Oct 2.

Abstract

BACKGROUND

The NIH Stroke Scale (NIHSS) is a 15-item measure of stroke-related neurologic deficits that, when measured at 24 h, is highly predictive of long-term functional outcome. We hypothesized that a simplified 24-h scale that incorporates the most predictive components of the NIHSS can retain prognostic accuracy and have improved interrater reliability.

METHODS

In a post hoc analysis of the Interventional Management of Stroke-3 (IMS-3) trial, we performed principal component (PC) analysis to resolve the 24-h NIHSS into PCs. In the PCs that explained the largest proportions of variance, key variables were identified. Using these key variables, the prognostic accuracies (area under the curve [AUC]) for good outcome (3-month modified Rankin Scale [mRS] 0-2) and poor outcome (mRS 5-6) of various abbreviated NIHSS iterations were compared with the total 24-h NIHSS. The results were validated in the NINDS intravenous tissue plasminogen activator (NINDS-TPA) study cohort. Based on previously published data, interrater reliability of the abbreviated 24-h NIHSS (aNIHSS) was compared to the total 24-h NIHSS.

RESULTS

In 545 IMS-3 participants, 2 PCs explained 60.8% of variance in the 24-h NIHSS. The key variables in PC1 included neglect, arm and leg weakness; while PC2 included level-of-consciousness (LOC) questions, LOC commands, and aphasia. A 3-variable aNIHSS (aphasia, neglect, arm weakness) retained excellent prognostic accuracy for good outcome (AUC = 0.90) as compared to the total 24-h NIHSS (AUC = 0.91), and it was more predictive (p < 0.001) than the baseline NIHSS (AUC = 0.73). The prognostic accuracy of the aNIHSS for good outcome was validated in the NINDS-TPA trial cohort (aNIHSS: AUC = 0.89 vs. total 24-h NIHSS: 0.92). An aNIHSS >9 predicted very poor outcomes (mRS 0-2: 0%, mRS 4-6: 98.5%). The estimated interrater reliability of the aNIHSS was higher than that of the total 24-h NIHSS across 6 published datasets (mean weighted kappa 0.80 vs. 0.73, p < 0.001).

CONCLUSIONS

At 24 h following ischemic stroke, aphasia, neglect, and arm weakness are the most prognostically relevant neurologic findings. The aNIHSS appears to have excellent prognostic accuracy with higher reliability and may be clinically useful.

摘要

背景

美国国立卫生研究院卒中量表(NIHSS)是一项用于评估与卒中相关神经功能缺损的15项指标,在24小时测量时,对长期功能预后具有高度预测性。我们假设,一个简化的24小时量表,纳入NIHSS中最具预测性的组成部分,能够保持预后准确性,并提高评分者间的可靠性。

方法

在卒中干预管理-3(IMS-3)试验的事后分析中,我们进行主成分(PC)分析,将24小时NIHSS分解为主成分。在解释最大比例方差的主成分中,确定关键变量。使用这些关键变量,将各种简化版NIHSS迭代的良好预后(3个月改良Rankin量表[mRS]0-2)和不良预后(mRS 5-6)的预后准确性(曲线下面积[AUC])与24小时NIHSS总量表进行比较。结果在国立神经病学研究所静脉注射组织型纤溶酶原激活剂(NINDS-TPA)研究队列中得到验证。根据先前发表的数据,将简化版24小时NIHSS(aNIHSS)的评分者间可靠性与24小时NIHSS总量表进行比较。

结果

在545名IMS-3参与者中,2个主成分解释了24小时NIHSS中60.8%的方差。主成分1中的关键变量包括偏侧忽视、手臂和腿部无力;而主成分2包括意识水平(LOC)问题、LOC指令和失语症。与24小时NIHSS总量表(AUC = 0.91)相比,一个3变量的aNIHSS(失语症、偏侧忽视、手臂无力)对良好预后具有出色的预后准确性(AUC = 0.90),并且比基线NIHSS(AUC = 0.73)更具预测性(p < 0.001)。aNIHSS对良好预后的预后准确性在NINDS-TPA试验队列中得到验证(aNIHSS:AUC = 0.89 vs. 24小时NIHSS总量表:0.92)。aNIHSS>9预测预后极差(mRS 0-2:0%,mRS 4-6:98.5%)。在6个已发表的数据集中,aNIHSS的估计评分者间可靠性高于24小时NIHSS总量表(平均加权kappa 0.80对0.73,p < 0.001)。

结论

在缺血性卒中后24小时,失语症、偏侧忽视和手臂无力是与预后最相关的神经学表现。aNIHSS似乎具有出色的预后准确性,可靠性更高,可能具有临床应用价值。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1c1e/5730111/fa88ac7273f7/cee-0007-0120-g01.jpg

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