Laboratory of Neuropsychology, The University of Hong Kong, Hong Kong, China.
NeuroRehabilitation. 2010;27(4):351-8. doi: 10.3233/NRE-2010-0619.
Few studies have addressed factors that contribute to functional recovery in people with hemorrhagic stroke. We assessed the value of using pre-training functional level and cognitive abilities measured at admission in order to predict functional gain in a sample of stroke patients.
The Functional Independence Measure (FIM) was administered to 85 hemorrhagic stroke patients. Three multiple regression models were constructed using total gain in FIM scores, gain in scores in the cognitive domain of FIM, and gain in scores in the motor domain of FIM as outcome variables. Predictor variables were age; scores on the Digit Span Forward Test (DSF), Digit Span Backward Test (DSB), and Chinese Auditory Verbal Learning Test (CAVLT); and the FIM scores measured at admission.
All regression models were significant, Ps < 0.001, and each explained over 73% of the variance in the FIM gains. Age and admission FIM scores were both significant predictors in each of the three models. The DSB span score was a significant predictor of the total FIM and the cognitive FIM gains. The CAVLT recognition score was also a significant predictor of the cognitive FIM gain.
Functional improvement in patients with hemorrhagic stroke after in-patient rehabilitation was predicted by age, pre-training functional level, and cognitive abilities measured at admission.
鲜有研究探讨导致出血性脑卒中患者功能恢复的因素。我们评估了在脑卒中患者样本中，使用入院时的预训练功能水平和认知能力来预测功能增益的价值。
对 85 例出血性脑卒中患者进行了功能独立性测量（FIM）。使用 FIM 总分、FIM 认知域得分和 FIM 运动域得分的总增益作为因变量，构建了三个多元回归模型。预测变量为年龄、数字跨度前测（DSF）、数字跨度后测（DSB）和中国听觉词语学习测验（CAVLT）得分以及入院时的 FIM 得分。
所有回归模型均具有统计学意义（P<0.001），每个模型均解释了 FIM 增益的 73%以上。年龄和入院时的 FIM 得分在三个模型中均为显著预测因子。DSB 跨度得分是 FIM 总分和认知 FIM 增益的显著预测因子。CAVLT 识别得分也是认知 FIM 增益的显著预测因子。
住院康复后，出血性脑卒中患者的功能改善可由年龄、预训练功能水平和入院时的认知能力预测。
