Bertolin Madison, Van Patten Ryan, Greif Taylor, Fucetola Robert
Department of Psychology, Saint Louis University, St. Louis, MO, USA.
Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA.
Arch Clin Neuropsychol. 2018 Aug 1;33(5):562-576. doi: 10.1093/arclin/acx096.
Predicting neurocognitive and functional outcomes in stroke is an important clinical task, especially in rehabilitation settings. We assessed acute predictors of cognitive and functional outcomes 6 months after mild to moderate stroke.
We conducted a retrospective analysis of acute clinical data and 6-month follow-up telephone interviews for 498 mild to moderate stroke patients. Predictors were sociodemographic variables, the National Institute of Health Stroke Scale (NIHSS), basic physical measures, the Mesulam Cancellation Test, the Short Blessed Test (SBT), Trails A/B, and the Boston Naming Test. The outcome variables were the Communication, Memory and Thinking, ADL/IADLs, and Participation subscales from the Stroke Impact Scale. We conducted four hierarchical multiple regression analyses with demographic variables and the NIHSS score entered into the first step, followed by physical variables in the second step, and neuropsychological variables in the final step.
Physical variables explained more variance in ADL/IADLs and Participation outcomes than in Communication and Memory and Thinking outcomes, while cognitive predictors exhibited the opposite trend. The SBT was the only significant independent predictor of Communication and Memory and Thinking (p's < .001), while the NIHSS was the only measure that significantly predicted ADL/IADLs (p < .001) and Participation (p = .002). Poorer performance on screening measures predicted worse cognitive and functional outcomes 6 months post-stroke.
These results support the clinical utility of administering brief screening instruments during acute recovery from mild to moderate stroke. Neuropsychologists should prioritize performance on screening measures assessing acute neurologic status and cognitive dysfunction when making recommendations for post-stroke rehabilitation.
预测中风后的神经认知和功能结局是一项重要的临床任务,尤其是在康复环境中。我们评估了轻度至中度中风后6个月认知和功能结局的急性预测因素。
我们对498例轻度至中度中风患者的急性临床数据进行了回顾性分析,并进行了6个月的随访电话访谈。预测因素包括社会人口统计学变量、美国国立卫生研究院卒中量表(NIHSS)、基本身体测量指标、梅苏拉姆消去试验、简易精神状态检查表(SBT)、连线测验A/B以及波士顿命名测验。结局变量是来自卒中影响量表的沟通、记忆与思维、日常生活活动/工具性日常生活活动以及参与分量表。我们进行了四项分层多元回归分析,第一步纳入人口统计学变量和NIHSS评分,第二步纳入身体变量,最后一步纳入神经心理学变量。
身体变量在日常生活活动/工具性日常生活活动和参与结局中解释的方差比在沟通、记忆与思维结局中更多,而认知预测因素则呈现相反的趋势。SBT是沟通、记忆与思维的唯一显著独立预测因素(p值<0.001),而NIHSS是唯一显著预测日常生活活动/工具性日常生活活动(p<0.001)和参与(p=0.002)的指标。筛查指标表现较差预示着中风后6个月认知和功能结局更差。
这些结果支持在轻度至中度中风急性恢复期使用简短筛查工具的临床效用。神经心理学家在为中风后康复提出建议时,应优先考虑评估急性神经状态和认知功能障碍的筛查指标的表现。