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Assessing tilavonemab efficacy in early Alzheimer's disease via longitudinal item response theory modeling.

Publication ,  Journal Article
Zhou, X; Zou, H; Lutz, MW; Arbeev, K; Akushevich, I; Yashin, A; Welsh-Bohmer, KA; Luo, S
Published in: Alzheimers Dement (N Y)
2024

INTRODUCTION: Alzheimer's disease (AD) is a neurodegenerative disorder characterized by declines in cognitive and functional severities. This research utilized the Clinical Dementia Rating (CDR) to assess the influence of tilavonemab on these deteriorations. METHODS: Longitudinal Item Response Theory (IRT) models were employed to analyze CDR domains in early-stage AD patients. Both unidimensional and multidimensional models were contrasted to elucidate the trajectories of cognitive and functional severities. RESULTS: We observed significant temporal increases in both cognitive and functional severities, with the cognitive severity deteriorating at a quicker rate. Tilavonemab did not demonstrate a statistically significant effect on the progression in either severity. Furthermore, a significant positive association was identified between the baselines and progression rates of both severities. DISCUSSION: While tilavonemab failed to mitigate impairment progression, our multidimensional IRT analysis illuminated the interconnected progression of cognitive and functional declines in AD, suggesting a comprehensive perspective on disease trajectories. HIGHLIGHTS: Utilized longitudinal Item Response Theory (IRT) models to analyze the Clinical Dementia Rating (CDR) domains in early-stage Alzheimer's disease (AD) patients, comparing unidimensional and multidimensional models.Observed significant temporal increases in both cognitive and functional severities, with cognitive severity deteriorating at a faster rate, while tilavonemab showed no statistically significant effect on either domain's progression.Found a significant positive association between the baseline severities and their progression rates, indicating interconnected progression patterns of cognitive and functional declines in AD.Introduced the application of multidimensional longitudinal IRT models to provide a comprehensive perspective on the trajectories of cognitive and functional severities in early AD, suggesting new avenues for future research including the inclusion of time-dependent random effects and data-driven IRT models.

Duke Scholars

Published In

Alzheimers Dement (N Y)

DOI

EISSN

2352-8737

Publication Date

2024

Volume

10

Issue

2

Start / End Page

e12471

Location

United States

Related Subject Headings

  • 5202 Biological psychology
  • 3209 Neurosciences
  • 3202 Clinical sciences
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Zhou, X., Zou, H., Lutz, M. W., Arbeev, K., Akushevich, I., Yashin, A., … Luo, S. (2024). Assessing tilavonemab efficacy in early Alzheimer's disease via longitudinal item response theory modeling. Alzheimers Dement (N Y), 10(2), e12471. https://doi.org/10.1002/trc2.12471
Zhou, Xiaoxiao, Haotian Zou, Michael W. Lutz, Konstantin Arbeev, Igor Akushevich, Anatoli Yashin, Kathleen A. Welsh-Bohmer, and Sheng Luo. “Assessing tilavonemab efficacy in early Alzheimer's disease via longitudinal item response theory modeling.Alzheimers Dement (N Y) 10, no. 2 (2024): e12471. https://doi.org/10.1002/trc2.12471.
Zhou X, Zou H, Lutz MW, Arbeev K, Akushevich I, Yashin A, et al. Assessing tilavonemab efficacy in early Alzheimer's disease via longitudinal item response theory modeling. Alzheimers Dement (N Y). 2024;10(2):e12471.
Zhou, Xiaoxiao, et al. “Assessing tilavonemab efficacy in early Alzheimer's disease via longitudinal item response theory modeling.Alzheimers Dement (N Y), vol. 10, no. 2, 2024, p. e12471. Pubmed, doi:10.1002/trc2.12471.
Zhou X, Zou H, Lutz MW, Arbeev K, Akushevich I, Yashin A, Welsh-Bohmer KA, Luo S. Assessing tilavonemab efficacy in early Alzheimer's disease via longitudinal item response theory modeling. Alzheimers Dement (N Y). 2024;10(2):e12471.
Journal cover image

Published In

Alzheimers Dement (N Y)

DOI

EISSN

2352-8737

Publication Date

2024

Volume

10

Issue

2

Start / End Page

e12471

Location

United States

Related Subject Headings

  • 5202 Biological psychology
  • 3209 Neurosciences
  • 3202 Clinical sciences