Yaghi Shadi, Willey Joshua Z, Andrews Howard, Boehme Amelia K, Marshall Randolph S, Boden-Albala Bernadette
Division of Stroke and Cerebrovascular Diseases, Department of Neurology, Columbia University Medical Center, New York, NY, USA; Department of Neurology, The Warren Alpert Medical School of Brown University, Providence, RI, USA.
Division of Stroke and Cerebrovascular Diseases, Department of Neurology, Columbia University Medical Center, New York, NY, USA.
Neurohospitalist. 2016 Jul;6(3):102-6. doi: 10.1177/1941874416641466. Epub 2016 Apr 5.
The ability of the National Institutes of Health Stroke Scale (NIHSS) score to predict functional outcome in minor stroke is controversial. In this study, we examined the association of itemized NIHSS score with discharge outcome.
We included all patients with final diagnosis of stroke with an NIHSS score of 0 to 5 untreated with thrombolysis enrolled in the "Stroke Warning Information and Faster Treatment" trial. Individual components of the NIHSS score were the primary predictors. Poor outcome was defined as not being discharged home. Logistic regression was used to identify predictors of outcome.
A total of 861 patients met the inclusion criteria; 162 (19%) were not discharged home. In multivariable regression, predictors of discharge other than home were age (odds ratio [OR] = 1.02 per year increase, P < .001) and total NIHSS score (OR per unit increase in the NIHSS = 1.51, P < .001). Motor (OR = 2.32, P < .001), level of consciousness (LOC; OR = 6.62, P = .004), and ataxia (OR = 3.10, P < .001) were also associated with not being discharged home. Motor (area under the curve [AUC] 0.623) appeared to be more predictive of poor outcome than ataxia (AUC 0.569) and LOC (AUC 0.517). The total NIHSS had a fair correlation with discharge outcome (AUC 0.683).
Total and itemized NIHSS components have a fair correlation with outcome in minor stroke highlighting the importance of other measures of stroke severity for clinical trials.
美国国立卫生研究院卒中量表(NIHSS)评分预测轻度卒中功能转归的能力存在争议。在本研究中,我们探讨了NIHSS分项评分与出院转归的相关性。
我们纳入了“卒中预警信息与快速治疗”试验中所有最终诊断为卒中、NIHSS评分为0至5分且未接受溶栓治疗的患者。NIHSS评分的各个单项为主要预测指标。不良转归定义为未出院回家。采用逻辑回归分析确定转归的预测因素。
共有861例患者符合纳入标准;162例(19%)未出院回家。在多变量回归分析中,非回家出院的预测因素包括年龄(每年增加的比值比[OR]=1.02,P<.001)和NIHSS总分(NIHSS每增加1分的OR=1.51,P<.001)。运动功能(OR=2.32,P<.001)、意识水平(LOC;OR=6.62,P=.004)和共济失调(OR=3.10,P<.001)也与未出院回家有关。运动功能(曲线下面积[AUC]0.623)似乎比共济失调(AUC 0.569)和LOC(AUC 0.517)更能预测不良转归。NIHSS总分与出院转归具有中等相关性(AUC 0.683)。
NIHSS总分及分项与轻度卒中的转归具有中等相关性,这凸显了其他卒中严重程度评估指标在临床试验中的重要性。