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Rates of Decline in Alzheimer Disease Decrease with Age

Overview of attention for article published in PLOS ONE, August 2012
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Title
Rates of Decline in Alzheimer Disease Decrease with Age
Published in
PLOS ONE, August 2012
DOI 10.1371/journal.pone.0042325
Pubmed ID
Authors

Dominic Holland, Rahul S. Desikan, Anders M. Dale, Linda K. McEvoy

Abstract

Age is the strongest risk factor for sporadic Alzheimer disease (AD), yet the effects of age on rates of clinical decline and brain atrophy in AD have been largely unexplored. Here, we examined longitudinal rates of change as a function of baseline age for measures of clinical decline and structural MRI-based regional brain atrophy, in cohorts of AD, mild cognitive impairment (MCI), and cognitively healthy (HC) individuals aged 65 to 90 years (total n = 723). The effect of age was modeled using mixed effects linear regression. There was pronounced reduction in rates of clinical decline and atrophy with age for AD and MCI individuals, whereas HCs showed increased rates of clinical decline and atrophy with age. This resulted in convergence in rates of change for HCs and patients with advancing age for several measures. Baseline cerebrospinal fluid densities of AD-relevant proteins, Aβ(1-42), tau, and phospho-tau(181p) (ptau), showed a similar pattern of convergence with advanced age across cohorts, particularly for ptau. In contrast, baseline clinical measures did not differ by age, indicating uniformity of clinical severity at baseline. These results imply that the phenotypic expression of AD is relatively mild in individuals older than approximately 85 years, and this may affect the ability to distinguish AD from normal aging in the very old. Our findings show that inclusion of older individuals in clinical trials will substantially reduce the power to detect disease-modifying therapeutic effects, leading to dramatic increases in required clinical trial sample sizes with age of study sample.

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Geographical breakdown

Country Count As %
Ireland 2 1%
United States 2 1%
United Kingdom 2 1%
France 1 <1%
Netherlands 1 <1%
Unknown 137 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 28 19%
Researcher 25 17%
Student > Master 16 11%
Other 15 10%
Student > Doctoral Student 9 6%
Other 26 18%
Unknown 26 18%
Readers by discipline Count As %
Medicine and Dentistry 32 22%
Psychology 18 12%
Neuroscience 17 12%
Agricultural and Biological Sciences 12 8%
Engineering 6 4%
Other 24 17%
Unknown 36 25%