INS NYC 2024 Program

Poster	Poster Session 06 Program Schedule 02/15/2024 04:00 pm - 05:15 pm Room: Majestic Complex (Posters 61-120) Poster Session 06: Aging \| MCI \| Neurodegenerative Disease - PART 2 Final Abstract #93 Development and validation of a harmonized memory score for multicenter Alzheimer’s disease and related dementia research Mark Sanderson-Cimino, UCSF, San Francisco, United States Alden Gross, John Hopkins, Baltimore, United States Leslie Gaynor, UCSF, San Francisco, United States Emily Paolillo, UCSF, San Francisco, United States Ankita Chatterjee, UCSF, San Francisco, United States Marilyn Albert, John Hopkins, Baltimore, United States Liana Apostolova, Indiana University, Indianapolis, United States Brooke Boersema, Indiana University, Indianapolis, United States Adam Boxer, UCSF, San Francisco, United States Bradley Boeve, Mayo Clinic, Rochester, United States Kaitlin Casaletto, UCSF, San Francisco, United States Lindsay Clark, University of Wisconsin-Madison, Madison, United States Ani Eloyan, Brown, Providence, United States Sarah Farias, UC Davis, Sacramento, United States Mitzi Gonzales, UT Health San Antonio, San Antonio, United States Dustin Hammers, Indiana University, Indianapolis, United States Benjamin Hampstead, University of Michigan, Ann Arbor, United States Dawn Mechanic-Hamilton, University of Pennsylvania, Philadelphia, United States Bruce Miller, UCSF, San Francisco, United States Gil Rabinovici, UCSF, San Francisco, United States Katya Rascovsky, University of Pennsylvania, Philadelphia, United States John Ringman, USC, Los Angeles, United States Howie Rosen, USCF, San Francisco, United States Sephira Ryman, Mind Research Network, Albuquerque, United States David Salmon, UCSD, La Jolla, United States Glenn Smith, University of Florida, Gainesville, United States Charlie DeCarli, UC Davis, Sacramento, United States Joel Kramer, UCSF, San Francisco, United States Adam Staffaroni, UCSF, San Francisco, United States Category: Memory Functions/Amnesia Keyword 1: memory disorders Keyword 2: dementia - Alzheimer's disease Keyword 3: psychometrics Objective: The Uniform Data Set (UDS) neuropsychological battery of the Alzheimer’s Disease Centers (ADC) program from the National Institute on Aging (NIA) includes several measures of episodic memory but lacks a list-learning task. As a result, research centers that utilize the UDS also administer different list-learning tasks depending on preference and extant protocols. A harmonized memory score that incorporates UDS memory tests while allowing centers to contribute differing list-learning tasks would be a useful tool for multicenter and cross-consortia research. We applied an item-banking confirmatory factor analysis (CFA) approach to develop a composite memory score using data from 18 academic centers and conducted validation analyses. Participants and Methods: The sample included 5,487 participants (mean age 67.14 years; SD 12.17) recruited through 18 ADCs, including participants from the ARTFL-LEFFTDS Longitudinal Frontotemporal Lobar Degeneration (ALLFTD) and Longitudinal Early-Onset Alzheimer's Disease Study (LEADS ) consortia. Participants completed UDS memory tasks (MoCA registration, recall, and recognition items; Craft Story immediate recall and delayed recall; Benson Figure recall and recognition) and a list-learning task (CVLT-II Short Form, CVLT-II Standard Form, HVLT-R, RAVLT, or CERAD). Leveraging an item-banking approach, we created a harmonized memory factor score using UDS measures as “anchor items'' and chaining consecutive CFA models, one for each list-learning task. Model fit was assessed using global fit statistics and factor loadings. We also tested for differences in factor scores across samples with different list-learning tasks after adjusting for demographics and disease severity. We examined associations between the memory score and: 1) demographics and 2) an independent task of memory (TabCAT Favorites). In a subsample with available neuroimaging (n=811), we investigated the relationship between the memory score and MRI hippocampal volume. We also compared performances across diagnostic groups: cognitively unimpaired (n=279; Clinical Dementia Rating Scale of 0), AD-biomarker positive MCI (n=26), and biomarker-positive AD dementia (n=98). Results: Model fit indices were excellent (average CFI: .998; average TLI: .996; average RMSEA: .082) and factor loadings were strong (.43-.93). As expected, higher scores were correlated with younger age (r=-.18: CI:-.21, -.15), lower Clinical Dementia Rating Scale-Sum of Boxes Scores (r=-.63; CI: -.64, -.57), female gender (r=.12; CI: .10, .15), higher education (r=.19; CI: .17, .22), and larger hippocampal volume (r=.42; CI: .36, .47). The score was strongly associated with the independent TabCAT memory task (r=.71, CI: .67, .74; p<.001). We observed stepwise decline in means with increasing disease severity (cognitively unimpaired > MCI > AD dementia, p’s < .001). Differences in factor score between contributing list learning task were negligible (average Cohen’s d = 0.11). Conclusions: The criterion and content validity of this harmonized memory score is supported by associations in the expected direction with demographics, disease severity and diagnosis, hippocampal volume, and an independent memory task. Our newly developed factor score will allow for harmonized examination of memory performances across ADC studies, accelerating large-data, collaborative ADRD research.

Poster

02/15/2024
04:00 pm - 05:15 pm
Room: Majestic Complex (Posters 61-120)

Poster Session 06: Aging | MCI | Neurodegenerative Disease - PART 2

Final Abstract #93

Development and validation of a harmonized memory score for multicenter Alzheimer’s disease and related dementia research

Mark Sanderson-Cimino, UCSF, San Francisco, United States
Alden Gross, John Hopkins, Baltimore, United States
Leslie Gaynor, UCSF, San Francisco, United States
Emily Paolillo, UCSF, San Francisco, United States
Ankita Chatterjee, UCSF, San Francisco, United States
Marilyn Albert, John Hopkins, Baltimore, United States
Liana Apostolova, Indiana University, Indianapolis, United States
Brooke Boersema, Indiana University, Indianapolis, United States
Adam Boxer, UCSF, San Francisco, United States
Bradley Boeve, Mayo Clinic, Rochester, United States
Kaitlin Casaletto, UCSF, San Francisco, United States
Lindsay Clark, University of Wisconsin-Madison, Madison, United States
Ani Eloyan, Brown, Providence, United States
Sarah Farias, UC Davis, Sacramento, United States
Mitzi Gonzales, UT Health San Antonio, San Antonio, United States
Dustin Hammers, Indiana University, Indianapolis, United States
Benjamin Hampstead, University of Michigan, Ann Arbor, United States
Dawn Mechanic-Hamilton, University of Pennsylvania, Philadelphia, United States
Bruce Miller, UCSF, San Francisco, United States
Gil Rabinovici, UCSF, San Francisco, United States
Katya Rascovsky, University of Pennsylvania, Philadelphia, United States
John Ringman, USC, Los Angeles, United States
Howie Rosen, USCF, San Francisco, United States
Sephira Ryman, Mind Research Network, Albuquerque, United States
David Salmon, UCSD, La Jolla, United States
Glenn Smith, University of Florida, Gainesville, United States
Charlie DeCarli, UC Davis, Sacramento, United States
Joel Kramer, UCSF, San Francisco, United States
Adam Staffaroni, UCSF, San Francisco, United States

Category: Memory Functions/Amnesia

Keyword 1: memory disorders
Keyword 2: dementia - Alzheimer's disease
Keyword 3: psychometrics

Objective:

The Uniform Data Set (UDS) neuropsychological battery of the Alzheimer’s Disease Centers (ADC) program from the National Institute on Aging (NIA) includes several measures of episodic memory but lacks a list-learning task. As a result, research centers that utilize the UDS also administer different list-learning tasks depending on preference and extant protocols. A harmonized memory score that incorporates UDS memory tests while allowing centers to contribute differing list-learning tasks would be a useful tool for multicenter and cross-consortia research. We applied an item-banking confirmatory factor analysis (CFA) approach to develop a composite memory score using data from 18 academic centers and conducted validation analyses.

Participants and Methods:

The sample included 5,487 participants (mean age 67.14 years; SD 12.17) recruited through 18 ADCs, including participants from the ARTFL-LEFFTDS Longitudinal Frontotemporal Lobar Degeneration (ALLFTD) and Longitudinal Early-Onset Alzheimer's Disease Study (LEADS ) consortia. Participants completed UDS memory tasks (MoCA registration, recall, and recognition items; Craft Story immediate recall and delayed recall; Benson Figure recall and recognition) and a list-learning task (CVLT-II Short Form, CVLT-II Standard Form, HVLT-R, RAVLT, or CERAD). Leveraging an item-banking approach, we created a harmonized memory factor score using UDS measures as “anchor items'' and chaining consecutive CFA models, one for each list-learning task. Model fit was assessed using global fit statistics and factor loadings. We also tested for differences in factor scores across samples with different list-learning tasks after adjusting for demographics and disease severity. We examined associations between the memory score and: 1) demographics and 2) an independent task of memory (TabCAT Favorites). In a subsample with available neuroimaging (n=811), we investigated the relationship between the memory score and MRI hippocampal volume. We also compared performances across diagnostic groups: cognitively unimpaired (n=279; Clinical Dementia Rating Scale of 0), AD-biomarker positive MCI (n=26), and biomarker-positive AD dementia (n=98).

Results:

Model fit indices were excellent (average CFI: .998; average TLI: .996; average RMSEA: .082) and factor loadings were strong (.43-.93). As expected, higher scores were correlated with younger age (r=-.18: CI:-.21, -.15), lower Clinical Dementia Rating Scale-Sum of Boxes Scores (r=-.63; CI: -.64, -.57), female gender (r=.12; CI: .10, .15), higher education (r=.19; CI: .17, .22), and larger hippocampal volume (r=.42; CI: .36, .47). The score was strongly associated with the independent TabCAT memory task (r=.71, CI: .67, .74; p<.001). We observed stepwise decline in means with increasing disease severity (cognitively unimpaired > MCI > AD dementia, p’s < .001). Differences in factor score between contributing list learning task were negligible (average Cohen’s d = 0.11).

Conclusions:

The criterion and content validity of this harmonized memory score is supported by associations in the expected direction with demographics, disease severity and diagnosis, hippocampal volume, and an independent memory task. Our newly developed factor score will allow for harmonized examination of memory performances across ADC studies, accelerating large-data, collaborative ADRD research.