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

dc.contributor.author

Zhou, Xiaoxiao

dc.contributor.author

Zou, Haotian

dc.contributor.author

Lutz, Michael W

dc.contributor.author

Arbeev, Konstantin

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Akushevich, Igor

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Yashin, Anatoli

dc.contributor.author

Welsh-Bohmer, Kathleen A

dc.contributor.author

Luo, Sheng

dc.date.accessioned

2024-06-07T13:07:13Z

dc.date.available

2024-06-07T13:07:13Z

dc.date.issued

2024-04

dc.description.abstract

<jats:title>Abstract</jats:title><jats:sec><jats:title>INTRODUCTION</jats:title><jats:p>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.</jats:p></jats:sec><jats:sec><jats:title>METHODS</jats:title><jats:p>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.</jats:p></jats:sec><jats:sec><jats:title>RESULTS</jats:title><jats:p>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.</jats:p></jats:sec><jats:sec><jats:title>DISCUSSION</jats:title><jats:p>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.</jats:p></jats:sec><jats:sec><jats:title>Highlights</jats:title><jats:p><jats:list> <jats:list-item><jats:p>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.</jats:p></jats:list-item> <jats:list-item><jats:p>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.</jats:p></jats:list-item> <jats:list-item><jats:p>Found a significant positive association between the baseline severities and their progression rates, indicating interconnected progression patterns of cognitive and functional declines in AD.</jats:p></jats:list-item> <jats:list-item><jats:p>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.</jats:p></jats:list-item> </jats:list></jats:p></jats:sec>

dc.identifier.issn

2352-8737

dc.identifier.issn

2352-8737

dc.identifier.uri

https://hdl.handle.net/10161/31148

dc.language

en

dc.publisher

Wiley

dc.relation.ispartof

Alzheimer's & Dementia: Translational Research & Clinical Interventions

dc.relation.isversionof

10.1002/trc2.12471

dc.rights.uri

https://creativecommons.org/licenses/by-nc/4.0

dc.title

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

dc.type

Journal article

duke.contributor.orcid

Zou, Haotian|0000-0002-3595-8716

duke.contributor.orcid

Arbeev, Konstantin|0000-0002-4195-7832

duke.contributor.orcid

Welsh-Bohmer, Kathleen A|0000-0003-1824-0179

duke.contributor.orcid

Luo, Sheng|0000-0003-4214-5809

pubs.issue

2

pubs.organisational-group

Duke

pubs.organisational-group

School of Medicine

pubs.organisational-group

Staff

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Basic Science Departments

pubs.organisational-group

Biostatistics & Bioinformatics

pubs.organisational-group

Biostatistics & Bioinformatics, Division of Biostatistics

pubs.publication-status

Published

pubs.volume

10

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