Mark Sanderson‐Cimino, Alden L. Gross, Leslie S. Gaynor, Emily W. Paolillo, Rowan Saloner, Marilyn S. Albert, Liana G. Apostolova, Brooke Boersema, Adam L. Boxer, Bradley F. Boeve, Kaitlin B. Casaletto, Hilary W. Heuer, Leah K. Forsberg, Savannah R. Hallgarth, Valentina E. Diaz, Lindsay R. Clark, Ani Eloyan, Sarah Tomaszewski Farias, Pauline Maillard, Mitzi M. Gonzales, Dustin B. Hammers, Renaud La Joie, Yann Cobigo, Amy Wolf, Benjamin M. Hampstead, Dawn Mechanic‐Hamilton, Bruce L. Miller, Gil D. Rabinovici, John M. Ringman, Lina M. D’Orazio, Howie Rosen, Sephira G. Ryman, Jillian Prestopnik, David P. Salmon, Glenn E. Smith, Charles DeCarli, Kumar B. Rajan, Lee‐Way Jin, Jason D. Hinman, David K. Johnson, Danielle Harvey, Myriam Fornage, Maria C. Carrillo, Bradford C. Dickerson, Joel H. Kramer, Adam M. Staffaroni
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.