Department of Neurology, Center for Alzheimer's Care, Imaging, and Research, University of Utah.
Center on Aging, University of Utah.
Arch Clin Neuropsychol. 2021 Apr 21;36(3):347-358. doi: 10.1093/arclin/acz076.
Reliable change methods can aid neuropsychologists in understanding if performance differences over time represent clinically meaningful change or reflect benefit from practice. The current study sought to externally validate the previously published standardized regression-based (SRB) prediction equations developed by Duff for commonly administered cognitive measures.
This study applied Duff's SRB prediction equations to an independent sample of community-dwelling participants with amnestic mild cognitive impairment (MCI) assessed twice over a 1-week period. A comparison of MCI subgroups (e.g., single v. multi domain) on the amount of change observed over 1 week was also examined.
Using pairwise t-tests, large and statistically significant improvements were observed on most measures across 1 week. However, the observed follow-up scores were consistently below expectation compared with predictions based on Duff's SRB algorithms. In individual analyses, a greater percentage of MCI participants showed smaller-than-expected practice effects based on normal distributions. In secondary analyses, smaller-than-expected practice effects were observed in participants with worse baseline memory impairment and a greater number of impaired cognitive domains, particularly for measures of executive functioning/speeded processing.
These findings help to further support the validity of Duff's 1-week SRB prediction equations in MCI samples and extend previous research by showing incrementally smaller-than-expected benefit from practice for increasingly impaired amnestic MCI subtypes.
可靠变化方法可以帮助神经心理学家了解一段时间内的表现差异是否代表临床有意义的变化,或者反映练习的益处。本研究旨在外部验证 Duff 先前为常用认知测量制定的基于标准化回归的(SRB)预测方程。
本研究将 Duff 的 SRB 预测方程应用于一个独立的、在一周内接受两次评估的、有记忆轻度认知障碍(MCI)的社区居住参与者的样本中。还比较了在 1 周内观察到的变化量方面的 MCI 亚组(例如,单一域与多域)。
使用配对 t 检验,在大多数措施上观察到了大的且统计学上显著的改善。然而,与基于 Duff 的 SRB 算法的预测相比,观察到的随访分数始终低于预期。在个体分析中,根据正态分布,更多的 MCI 参与者表现出比预期更小的练习效应。在二次分析中,在基线记忆障碍更严重和认知域受损数量更多的参与者中观察到比预期更小的练习效应,特别是在执行功能/速度处理的测量中。
这些发现有助于进一步支持 Duff 的 1 周 SRB 预测方程在 MCI 样本中的有效性,并通过显示越来越严重的记忆障碍的 MCI 亚组从练习中获得的增量较小的益处,扩展了先前的研究。