预测认知衰退的理论指标与统计得出指标的比较。
A comparison of theoretical and statistically derived indices for predicting cognitive decline.
作者信息
Wilhalme Holly, Goukasian Naira, De Leon Fransia, He Angie, Hwang Kristy S, Woo Ellen, Elashoff David, Zhou Yan, Ringman John M, Apostolova Liana G
机构信息
Department of Medicine Statistics Core, University of California, Los Angeles, Los Angeles, CA, USA.
Department of Neurology, University of California, Los Angeles, Los Angeles, CA, USA.
出版信息
Alzheimers Dement (Amst). 2016 Nov 5;6:171-181. doi: 10.1016/j.dadm.2016.10.002. eCollection 2017.
INTRODUCTION
Both theoretical and statistically derived approaches have been used in research settings for predicting cognitive decline.
METHODS
Fifty-eight cognitively normal (NC) and 71 mild cognitive impairment (MCI) subjects completed a comprehensive cognitive battery for up to 5 years of follow-up. Composite indices of cognitive function were derived using a classic theoretical approach and exploratory factor analysis (EFA). Cognitive variables comprising each factor were averaged to form the EFA composite indices. Logistic regression was used to investigate whether these cognitive composites can reliably predict cognitive outcomes.
RESULTS
Neither method predicted decline in NC. The theoretical memory, executive, attention, and language composites and the EFA-derived "attention/executive" and "verbal memory" composites were significant predictors of decline in MCI. The best models achieved an area under the curve of 0.94 in MCI.
CONCLUSIONS
The theoretical and the statistically derived cognitive composite approaches are useful in predicting decline in MCI but not in NC.
引言
理论方法和基于统计得出的方法都已在研究环境中用于预测认知衰退。
方法
58名认知正常（NC）和71名轻度认知障碍（MCI）受试者完成了一项全面的认知测试组合，随访时间长达5年。认知功能的综合指标通过经典理论方法和探索性因素分析（EFA）得出。对构成每个因素的认知变量进行平均，以形成EFA综合指标。使用逻辑回归来研究这些认知综合指标是否能够可靠地预测认知结果。
结果
两种方法均未预测出NC组的衰退情况。理论记忆、执行功能、注意力和语言综合指标以及EFA得出的“注意力/执行功能”和“言语记忆”综合指标是MCI组衰退的显著预测指标。最佳模型在MCI组中的曲线下面积达到0.94。
结论
理论性和基于统计得出的认知综合方法在预测MCI组的衰退方面有用，但对NC组无用。
Zotero 插件