Determining clinically meaningful decline in preclinical Alzheimer disease
Open accessAbstract
OBJECTIVE: To determine the time required for a preclinical Alzheimer disease population to decline in a meaningful way, use estimates of decline to update previous clinical trial design assumptions, and identify factors that modify β-amyloid (Aβ)-related decline. METHODS: In 1,120 cognitively unimpaired individuals from 3 international cohorts, we estimated the relationship between Aβ status and longitudinal changes across multiple cognitive domains and assessed interactions between Aβ and baseline factors. Power analyses were performed to explore sample size as a function of treatment effect. RESULTS: Cognitively unimpaired Aβ+ participants approach mild cognitive impairment (MCI) levels of performance 6 years after baseline, on average. Achieving 80% power in a simulated 4-year treatment trial, assuming a 25% treatment effect, required 2,000 participants/group. Multiple factors interacted with Aβ to predict cognitive decline; however, these findings were all cohort-specific. Despite design differences across the cohorts, with large sample sizes and sufficient follow-up time, the Aβ+ groups declined consistently on cognitive composite measures. CONCLUSIONS: A preclinical AD population declines to the cognitive performance of an early MCI population in 6 years. Slowing this rate of decline by 40%-50% delays clinically relevant impairment by 3 years-a potentially meaningful treatment effect. However, assuming a 40%-50% drug effect highlights the difficulties in preclinical AD trial design, as a more commonly assumed treatment effect of 25% results in a required sample size of 2,000/group. Designers of preclinical AD treatment trials need to prepare for larger and longer trials than are currently being considered. Interactions with Aβ status were inconsistent and not readily generalizable.
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PiB may bind preferentially to amyloid plaques containing pE3Aβ, and if other amyloid PET ligands do the same, this preferential binding might overestimate the extent of amyloid clearance.
“There are data that show that the amyloid PET ligand PiB may bind preferentially to amyloid plaques containing the pE3Aβ species 93,94 and although it is not known whether this is the case for other amyloid PET ligands, such preferential binding might over-estimate the extent of amyloid clearance.”
From The amyloid hypothesis in Alzheimer disease: new insights from new therapeutics (2022) · cites this paper as [94]
The risk of attrition bias from these data is strong, especially in the Alzheimer's Disease Neuroimaging Initiative, in which many individuals are lost to follow-up.
“For example, the risk of attrition bias from these data is strong, especially in the Alzheimer’s Disease Neuroimaging Initiative, in which many individuals are lost to follow-up;80”
From Clinical diagnosis of Alzheimer’s disease: Recommendations of the International Working Group (2021) · cites this paper as [80]
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References 46 · Cited by 128
- Authors
- Insel, P. S., Weiner, M., Mackin, R. S., Mormino, E., Lim, Y. Y., Stomrud, E., Palmqvist, S., Masters, C. L., Maruff, P. T., Hansson, O., & Mattsson, N.
- Affiliations
- United States Department of Veterans Affairs (US)
- Corresponding author
- Insel, Philip S.
- ORCID
- Venue
- Neurology
- Published
- 2019-07-23
- Volume
- 93
- Issue
- 4
- Pages
- e322-e333
- ISSN
- 0028-3878 (ISSN-L)
- 1526-632X
- PMC
- PMC6669933
- OpenAlex
- W2959949899
- Cited by
- 128
- References
- 46
- Citations by year
- 2026: 5 · 2025: 21 · 2024: 23 · 2023: 18 · 2022: 29 · 2021: 17 · 2020: 14 · 2019: 1
- FWCI
- 12.13
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- cc-by
- Locations
- Neurology (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Minerva Access (University of Melbourne) (submittedVersion, cc-by)
- eScholarship (California Digital Library) (submittedVersion, cc-by)
- Lund University Publications (Lund University) (submittedVersion)
- Funders
- U.S. Department of Defense
- Alzheimer's Association
- Alzheimer's Drug Discovery Foundation (U01 AG024904)
- Eli Lilly and Company
- Pfizer
- Sanofi
- Biogen
- University of Pennsylvania
- Northwestern University
- Synarc
- Harvard University
- Danone
- Johns Hopkins University
- Science and Industry Endowment Fund
- Dementia Collaborative Research Centres, Australia
- National Brain Research Centre
- H. Lundbeck A/S
- Yulgilbar Foundation
- National Institutes of Health (5u01ag024904-10)
- Genentech
- University of California, Los Angeles
- University of California, San Diego
- Avid Radiopharmaceuticals
- Medical Research Council
- National Health and Medical Research Council
- National Institute on Aging (U01-AG-024904, K01AG051718)
- National Institute of Mental Health
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Health Sciences › Medicine › Physiology › Alzheimer's disease research and treatments
- Health Sciences › Medicine › Pulmonary and Respiratory Medicine › Cancer-related cognitive impairment studies
- Keywords
- preclinical Alzheimer's disease, cognitive decline, amyloid-beta, mild cognitive impairment, clinical trial design, sample size determination, power analysis, treatment effects, longitudinal cognitive change, cognitively unimpaired individuals
- MeSH terms
- Mental Status and Dementia Tests, Aged, Aged, 80 and over, Alzheimer Disease, Aniline Compounds, Brain, Contrast Media, Ethylene Glycols, Female, Humans, Male, Middle Aged, Neuropsychological Tests, Mental Recall, Thiazoles, Time Factors, Trail Making Test, Amyloid beta-Peptides, Disease Progression, Positron-Emission Tomography, Benzothiazoles, Asymptomatic Diseases, Cognitive Dysfunction
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