Alden Eva C, Lundt Emily S, Twohy Erin L, Christianson Teresa J, Kremers Walter K, Machulda Mary M, Jack Clifford R, Knopman David S, Mielke Michelle M, Petersen Ronald C, Stricker Nikki H
Division of Neurocognitive Disorders Department of Psychiatry and Psychology Mayo Clinic Rochester Minnesota USA.
Division of Clinical Trials and Biostatistics Department of Quantitative Health Sciences Mayo Clinic Rochester Minnesota USA.
Alzheimers Dement (Amst). 2022 Jul 15;14(1):e12325. doi: 10.1002/dad2.12325. eCollection 2022.
The aim of this study was to develop a conditional normative model for Rey's Auditory Verbal Learning Test (AVLT) that accounts for practice effects.
In our normative sample, robust conditional norms were derived from 1001 cognitively unimpaired (CU) adults ages 50 to 89 who completed the AVLT up to eight times. Linear mixed-effects models adjusted for baseline performance, prior test exposures, time, demographics, and interaction terms. In our preliminary validation, mean performance on conditional and typical normative scores across two to four completed follow-up tests in preclinical Alzheimer's disease participants at baseline with positive amyloid and tau positron emission ( = 27 CU amyloid [A]+tau[T]+) was compared to biomarker negative individuals ( = 269 CU A-T-).
AVLT performance using typical norms did not differ across A+T+ and A-T- groups. Conditional norms z-scores were lower in the A+T+ relative to the A-T- group for 30-minute recall ( = .033) and sum of trials ( = .030).
Conditional normative methods that account for practice effects show promise for identifying longitudinal cognitive decline.
本研究的目的是为雷伊听觉词语学习测验(AVLT)开发一种考虑练习效应的条件常模模型。
在我们的常模样本中,从1001名年龄在50至89岁、认知功能未受损(CU)且完成AVLT多达8次的成年人中得出了稳健的条件常模。线性混合效应模型对基线表现、先前测试次数、时间、人口统计学特征和交互项进行了调整。在我们的初步验证中,将基线时淀粉样蛋白和tau正电子发射呈阳性的临床前阿尔茨海默病参与者(n = 27 CU淀粉样蛋白[A]+tau[T]+)在两到四次完成的随访测试中的条件常模分数和典型常模分数的平均表现与生物标志物阴性个体(n = 269 CU A-T-)进行了比较。
使用典型常模时,A+T+组和A-T-组的AVLT表现没有差异。在30分钟回忆(p = .033)和总试验次数(p = .030)方面,A+T+组相对于A-T-组的条件常模z分数较低。
考虑练习效应的条件常模方法在识别纵向认知衰退方面显示出前景。