Literature DB >> 33032508

Modelling Decline in Cognition to Decline in Function in Alzheimer's Disease.

Helene Karcher1, Marina Savelieva2, Luyuan Qi3, Noemi Hummel4, Angelika Caputo2, Valery Risson2, Gorana Capkun5.   

Abstract

OBJECTIVES: The study aimed to evaluate and quantify the temporal link between cognitive and functional decline, and assess the impact of the apolipoprotein E4 (APOE-e4) genotype on Alzheimer's disease (AD) progression.
METHODS: A nonlinear mixed-effects Emax model was developed using longitudinal data from 659 patients with dementia due to AD sourced from the Alzheimer's disease neuroimaging initiative (ADNI) database. A cognitive decline model was first built using a cognitive subscale of the AD assessment scale (delayed word recall) as the endpoint, followed by a functional decline model, using the functional assessment questionnaire (FAQ) as the endpoint. Individual and population cognitive decline from the first model drove a functional decline in the second model. The impact of the APOE-e4 genotype status on the dynamics of AD progression was evaluated using the model.
RESULTS: Mixed-effects Emax models adequately quantified population average and individual disease trajectories. The model captured a higher initial cognitive impairment and final functional impairment in APOE-e4 carriers than non-carriers. The age at cognitive decline and diagnosis of dementia due to AD was significantly lower in APOE-e4 carriers than that of non-carriers. The average [standard deviation] time shift between cognitive and functional decline, i.e. the time span between half of the maximum cognitive decline and half of the maximum functional decline, was estimated as 1.5 [1.6] years.
CONCLUSION: The present analysis quantifies the temporal link between a cognitive and functional decline in AD progression at the population and individual level, and provides information about the potential benefits of pre-clinical AD treatments on both cognition and function. Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.net.

Entities:  

Keywords:  ADAS-Cog; ADNI; APOE-e4; Alzheimer's disease; FAQ; cognitive decline; functional decline; mixed-effects model

Year:  2020        PMID: 33032508     DOI: 10.2174/1567205017666201008105429

Source DB:  PubMed          Journal:  Curr Alzheimer Res        ISSN: 1567-2050            Impact factor:   3.498


  2 in total

1.  Artificial Intelligence-based MRI Images for Brain in Prediction of Alzheimer's Disease.

Authors:  Xiaowang Bi; Wei Liu; Huaiqin Liu; Qun Shang
Journal:  J Healthc Eng       Date:  2021-10-19       Impact factor: 2.682

2.  Influence of Subject-Specific Effects in Longitudinal Modelling of Cognitive Decline in Alzheimer's Disease.

Authors:  Charles F Murchison; Byron C Jaeger; Jeff M Szychowski; Gary R Cutter; Erik D Roberson; Richard E Kennedy
Journal:  J Alzheimers Dis       Date:  2022       Impact factor: 4.160

  2 in total

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