Is there a relation between neuropsychologic variables and quality of life after stroke?
Is there a relation between neuropsychologic variables and quality of life after stroke?
复制标题
DOI：
10.1053/apmr.2001.25970
复制
发表时间：
2001-10-01
影响因子：
4.3
通讯作者：
Mulder, TT
中科院分区：
文献类型：
--
作者：
Hochstenbach, JB;Anderson, PG;Mulder, TT
目的：描述脑卒中患者的生活质量（QOL），并提取不良QOL的神经心理学预测因子。设计：一项队列研究，在卒中后平均72.2天对患者进行神经心理学评估，卒中后平均随访9.8个月。设置：康复中心研究部门。患者：164例脑卒中患者的连续样本（平均年龄55.2岁）从大学医院、地区医院和康复中心招募。干预措施：不适用。主要结果测量：定向，记忆，注意力和浓度，视觉空间和视觉建设功能，语言和算术技能进行了评估与神经心理测试。生活质量进行了评估与疾病的影响Profile（SIP）。结果：总体平均SIP评分标准差为20 +/- 11表明，中风对日常功能有很大的影响。进一步的分析表明，生活质量是有关的，特别是测试测量时空和/或顺序方面的行为。前向/后向逐步回归分析（n = 106）显示，如果患者在连线测验（TMT）B和/或是女性中有较差的结果，则较差的QOL更有可能。结论：TMT的预测价值是最有效和非常有用的，因为TMT是一个简短和经济的程序。然而，与性别有关的复苏方面值得更多关注，计量的组成可能造成的偏差也值得更多关注。需要进一步的研究来完善预测模型，以促进更充分的个人康复计划的发展。
Objectives: To describe the quality of life (QOL) of stroke patients and to distill neuropsychologic predictors for poor QOL.Design: A cohort study in which patients were neuropsychologically assessed at a mean of 72.2 days after stroke, with follow-up at a mean of 9.8 months after stroke.Setting: Research department of a rehabilitation center.Patients: A consecutive sample of 164 stroke patients (mean age, 55.2yr) recruited from a university hospital, a regional hospital, and a rehabilitation center.Interventions: Not applicable.Main Outcome Measures: Orientation, memory, attention and concentration, visuospatial and visuoconstructive functions, language, and arithmetic skills were assessed with neuropsychologic tests. QOL was assessed with the Sickness Impact Profile (SIP).Results: An overall mean SIP score standard deviation of 20 +/- 11 showed that stroke has a high impact on everyday functioning. Further analyses indicated that QOL is related in particular to tests measuring spatiotemporal and/or sequential aspects of behavior. Forward/backward stepwise regression analysis (n = 106) showed that poor QOL was more likely if patients had a poor result on the Trailmaking Test (TMT) B and/or were women.Conclusion: The predictive value of the TMT is most effective and very useful because the TMT is a short and economical procedure. However, the gender-related aspects of recovery deserve more attention, as does the possible bias that can be caused by the composition of a measurement. Further research is needed to refine predictive models that are needed to facilitate the development of more adequate, individual rehabilitation programs.