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从自由和线索选择性提醒测试中学习和保留测量的预后价值,以识别新发轻度认知障碍。

Prognostic Value of Learning and Retention Measures from the Free and Cued Selective Reminding Test to Identify Incident Mild Cognitive Impairment.

机构信息

Department of Neurology, Albert Einstein College of Medicine and Montefiore Medical Center, Bronx, Bronx, NY, USA.

Laboratory of Behavioral Neuroscience, National Institute on Aging, Baltimore, MD, USA.

出版信息

J Int Neuropsychol Soc. 2022 Mar;28(3):292-299. doi: 10.1017/S1355617721000291. Epub 2021 Mar 22.

Abstract

OBJECTIVE

To compare the predictive validity of learning and retention measures from the picture version of the Free and Cued Selective Reminding Test with Immediate Recall (pFCSRT + IR) for identifying incident mild cognitive impairment (MCI).

METHODS

Learning was defined by the sum of free recall (FR) and retention by delayed free recall (DFR) tested 15-20 min later. Totally, 1422 Baltimore Longitudinal Study of Aging (BLSA) participants (mean age 69.6 years, 54% male, mean 16.7 years of education) without dementia or MCI received the pFCSRT + IR at baseline and were followed longitudinally. Cox proportional hazards models were used to evaluate the effect of baseline learning and retention on risk of MCI.

RESULTS

In total, 187 participants developed MCI over a median of 8.1 years of follow-up. FR and DFR each predicted incident MCI adjusting for age, sex, and education. Also, each independently predicted incident MCI in the presence of the other with similar effect sizes: around 20% decrease in the hazard of MCI corresponding to one standard deviation increase in FR or DFR.

CONCLUSION

The practice of preferring retention over learning to predict incident MCI should be reconsidered. The decision to include retention should be guided by time constraints and patient burden.

摘要

目的

比较即刻回忆(pFCSRT+IR)自由和线索选择性再认测试图片版(pFCSRT+IR)的学习和保持测量的预测效度,以识别偶发性轻度认知障碍(MCI)。

方法

学习定义为 15-20 分钟后测试的自由回忆(FR)和延迟自由回忆(DFR)的总和。共有 1422 名无痴呆或 MCI 的巴尔的摩纵向老龄化研究(BLSA)参与者(平均年龄 69.6 岁,54%为男性,平均受教育 16.7 年)在基线时接受 pFCSRT+IR 测试,并进行了纵向随访。Cox 比例风险模型用于评估基线学习和保持对 MCI 风险的影响。

结果

在中位 8.1 年的随访中,共有 187 名参与者发展为 MCI。FR 和 DFR 均通过调整年龄、性别和教育程度来预测偶发性 MCI。此外,在其他因素存在的情况下,每个因素都能独立预测偶发性 MCI,且效果大小相似:FR 或 DFR 增加一个标准差,MCI 的风险大约降低 20%。

结论

应该重新考虑偏爱保持而不是学习来预测偶发性 MCI 的做法。是否纳入保持应根据时间限制和患者负担来决定。

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