Sanderson-Cimino Mark, Gross Alden L, Gaynor Leslie S, Paolillo Emily W, Saloner Rowan, Albert Marilyn S, Apostolova fLiana G, Boersema Brooke, Boxer Adam L, Boeve Bradley F, Casaletto Kaitlin B, Hallgarth Savannah R, Diaz Valentina E, Clark Lindsay R, Maillard Pauline, Eloyan Ani, Farias Sarah Tomaszewski, Gonzales Mitzi M, Hammers Dustin B, Joie Renaud La, Cobigo Yann, Wolf Amy, Hampstead Benjamin M, Mechanic-Hamilton Dawn, Miller Bruce L, Rabinovici Gil D, Ringman John M, Rosen Howie J, Ryman Sephira G, Prestopnik Jillian L, Salmon David P, Smith Glenn E, DeCarli Charles, Rajan Kumar B, Jin Lee-Way, Hinman Jason, Johnson David K, Harvey Danielle, Fornage Myriam, Kramer Joel H, Staffaroni Adam M
Memory and Aging Center, UCSF Weill Institute for Neurosciences, University of California San Francisco, San Francisco, CA, 94158, USA.
Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, 21205, USA.
medRxiv. 2025 Apr 3:2025.03.31.25324964. doi: 10.1101/2025.03.31.25324964.
INTRODUCTION: List-learning tasks are important for characterizing memory in ADRD research, but the Uniform Data Set neuropsychological battery (UDS-NB) lacks a list-learning paradigm; thus, sites administer a range of tests. We developed a harmonized memory composite that incorporates UDS memory tests and multiple list-learning tasks. METHODS: Item-banking confirmatory factor analysis was applied to develop a memory composite in a diagnostically heterogenous sample (n=5943) who completed the UDS-NB and one of five list-learning tasks. Construct validity was evaluated through associations with demographics, disease severity, cognitive tasks, brain volume, and plasma phosphorylated tau (p-tau181 and p-tau217). Test-retest reliability was assessed. Analyses were replicated in a racially/ethnically diverse cohort (n=1058). RESULTS: Fit indices, loadings, distributions, and test-retest reliability were adequate. Expected associations with demographics and clinical measures within development and validation cohorts supported validity. DISCUSSION: This composite enables researchers to incorporate multiple list-learning tasks with other UDS measures to create a single metric.
引言：在阿尔茨海默病相关痴呆（ADRD）研究中，列表学习任务对于表征记忆很重要，但统一数据集神经心理成套测验（UDS-NB）缺乏列表学习范式；因此，各研究点采用了一系列测试。我们开发了一种综合记忆指标，它整合了UDS记忆测试和多个列表学习任务。 方法：应用项目库验证性因素分析，在一个诊断异质性样本（n = 5943）中开发一种记忆指标，这些参与者完成了UDS-NB以及五项列表学习任务中的一项。通过与人口统计学、疾病严重程度、认知任务、脑容量和血浆磷酸化tau蛋白（p-tau181和p-tau217）的关联来评估结构效度。评估了重测信度。分析在一个种族/民族多样化的队列（n = 1058）中进行了重复。 结果：拟合指数、载荷、分布和重测信度均足够。在开发和验证队列中与人口统计学和临床指标的预期关联支持了效度。 讨论：这种综合指标使研究人员能够将多个列表学习任务与其他UDS测量方法结合起来，以创建一个单一指标。
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