Presenile primary cognitive decline or Alzheimer's dementia: 7-year clinical and neuropsychological follow-up

1999 ◽  
Vol 20 (2) ◽  
pp. 109-117 ◽  
Author(s):  
R. Zappoli ◽  
M. Paganini ◽  
G. Arnetoli ◽  
L. Bracco ◽  
A. Battaglia ◽  
...  
Keyword(s):  
Cognitive Decline ◽  
Alzheimer’S Dementia ◽  
Alzheimer's Dementia

scholarly journals Aβ-Positivity Predicts Cognitive Decline but Cognition Also Predicts Progression to Aβ-Positivity

2019 ◽  
Author(s):  
Jeremy A. Elman ◽  
Matthew S. Panizzon ◽  
Daniel E. Gustavson ◽  
Carol E. Franz ◽  
Mark E. Sanderson ◽  
...  
Keyword(s):  
Cognitive Function ◽  
Cognitive Decline ◽  
Alzheimer’S Dementia ◽  
Cognitive Measures ◽  
Alzheimer's Dementia ◽  
Amyloid Aβ ◽  
Β Amyloid ◽  
Future Risk ◽  
Early Predictor

ABSTRACTIntroductionBiomarker positivity predicts cognitive decline and Alzheimer’s dementia. But what predicts biomarker positivity? We hypothesized that cognitive function and p-tau would predict progression from normal to abnormal levels of β-amyloid (Aβ).MethodsBaseline cognition in 292 non-demented, Aβ-negative Alzheimer’s Disease Neuroimaging Initiative (ADNI) participants was measured with two cognitive composites and compared between those that progressed to Aβ-positivity versus Aβ-stable. Follow-up analyses included continuous CSF Aβ and p-tau levels to examine subthreshold effects.ResultsContinuously measured baseline subthreshold Aβ and p-tau predicted progression to Aβ-positivity, but both baseline cognitive measures predicted progression to Aβ-positivity even after controlling for baseline biomarker levels.DiscussionCurrent Aβ thresholds may be ignoring relevant subthreshold pathology. Importantly, cognitive function can be an important early predictor of future risk, even earlier than the key biomarkers as currently measured. Moreover, A-/T+ individuals may still be on the AD pathway because p-tau also predicted progression to positivity.

IC-P-170: A SIGNATURE OF BRAIN ATROPHY HIGHLY PREDICTIVE OF PROGRESSION TO ALZHEIMER'S DEMENTIA AND COGNITIVE DECLINE

2006 ◽  
Vol 14 (7S_Part_2) ◽  
pp. P142-P143
Author(s):  
Angela Tam ◽  
Christian Dansereau ◽  
Yasser Iturria Medina ◽  
Sebastian Urchs ◽  
Pierre Orban ◽  
...  
Keyword(s):  
Cognitive Decline ◽  
Brain Atrophy ◽  
Alzheimer’S Dementia ◽  
Alzheimer's Dementia

scholarly journals Disease Modelling of Cognitive Outcomes and Biomarkers in the European Prevention of Alzheimer’s Dementia Longitudinal Cohort

2021 ◽  
Vol 4 ◽  
Author(s):  
James Howlett ◽  
Steven M. Hill ◽  
Craig W. Ritchie ◽  
Brian D. M. Tom
Keyword(s):  
Disease Process ◽  
Alzheimer’S Dementia ◽  
Rate Of Change ◽  
Cognitive Outcomes ◽  
Disease Modelling ◽  
Data Set ◽  
Alzheimer's Dementia ◽  
Longitudinal Cohort ◽  
Wide Range

A key challenge for the secondary prevention of Alzheimer’s dementia is the need to identify individuals early on in the disease process through sensitive cognitive tests and biomarkers. The European Prevention of Alzheimer’s Dementia (EPAD) consortium recruited participants into a longitudinal cohort study with the aim of building a readiness cohort for a proof-of-concept clinical trial and also to generate a rich longitudinal data-set for disease modelling. Data have been collected on a wide range of measurements including cognitive outcomes, neuroimaging, cerebrospinal fluid biomarkers, genetics and other clinical and environmental risk factors, and are available for 1,828 eligible participants at baseline, 1,567 at 6 months, 1,188 at one-year follow-up, 383 at 2 years, and 89 participants at three-year follow-up visit. We novelly apply state-of-the-art longitudinal modelling and risk stratification approaches to these data in order to characterise disease progression and biological heterogeneity within the cohort. Specifically, we use longitudinal class-specific mixed effects models to characterise the different clinical disease trajectories and a semi-supervised Bayesian clustering approach to explore whether participants can be stratified into homogeneous subgroups that have different patterns of cognitive functioning evolution, while also having subgroup-specific profiles in terms of baseline biomarkers and longitudinal rate of change in biomarkers.

P3-402: A SIGNATURE OF BRAIN ATROPHY IS HIGHLY PREDICTIVE OF PROGRESSION TO ALZHEIMER'S DEMENTIA AND COGNITIVE DECLINE

2006 ◽  
Vol 14 (7S_Part_23) ◽  
pp. P1256-P1256
Author(s):  
Angela Tam ◽  
Christian Dansereau ◽  
Yasser Iturria Medina ◽  
Sebastian Urchs ◽  
Pierre Orban ◽  
...  
Keyword(s):  
Cognitive Decline ◽  
Brain Atrophy ◽  
Alzheimer’S Dementia ◽  
Alzheimer's Dementia
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