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Prevalence Estimates of Amyloid Abnormality Across the Alzheimer Disease Clinical Spectrum

. 2022 Mar 01 ; 79 (3) : 228-243.

Language English Country United States Media print

Document type Journal Article

Grant support
R01 NS104147 NINDS NIH HHS - United States
U01 AG032438 NIA NIH HHS - United States
R01 AG031581 NIA NIH HHS - United States
G84/6523 Medical Research Council - United Kingdom
P30 AG062422 NIA NIH HHS - United States
P01 AG036694 NIA NIH HHS - United States
U01 AG024904 NIA NIH HHS - United States

IMPORTANCE: One characteristic histopathological event in Alzheimer disease (AD) is cerebral amyloid aggregation, which can be detected by biomarkers in cerebrospinal fluid (CSF) and on positron emission tomography (PET) scans. Prevalence estimates of amyloid pathology are important for health care planning and clinical trial design. OBJECTIVE: To estimate the prevalence of amyloid abnormality in persons with normal cognition, subjective cognitive decline, mild cognitive impairment, or clinical AD dementia and to examine the potential implications of cutoff methods, biomarker modality (CSF or PET), age, sex, APOE genotype, educational level, geographical region, and dementia severity for these estimates. DESIGN, SETTING, AND PARTICIPANTS: This cross-sectional, individual-participant pooled study included participants from 85 Amyloid Biomarker Study cohorts. Data collection was performed from January 1, 2013, to December 31, 2020. Participants had normal cognition, subjective cognitive decline, mild cognitive impairment, or clinical AD dementia. Normal cognition and subjective cognitive decline were defined by normal scores on cognitive tests, with the presence of cognitive complaints defining subjective cognitive decline. Mild cognitive impairment and clinical AD dementia were diagnosed according to published criteria. EXPOSURES: Alzheimer disease biomarkers detected on PET or in CSF. MAIN OUTCOMES AND MEASURES: Amyloid measurements were dichotomized as normal or abnormal using cohort-provided cutoffs for CSF or PET or by visual reading for PET. Adjusted data-driven cutoffs for abnormal amyloid were calculated using gaussian mixture modeling. Prevalence of amyloid abnormality was estimated according to age, sex, cognitive status, biomarker modality, APOE carrier status, educational level, geographical location, and dementia severity using generalized estimating equations. RESULTS: Among the 19 097 participants (mean [SD] age, 69.1 [9.8] years; 10 148 women [53.1%]) included, 10 139 (53.1%) underwent an amyloid PET scan and 8958 (46.9%) had an amyloid CSF measurement. Using cohort-provided cutoffs, amyloid abnormality prevalences were similar to 2015 estimates for individuals without dementia and were similar across PET- and CSF-based estimates (24%; 95% CI, 21%-28%) in participants with normal cognition, 27% (95% CI, 21%-33%) in participants with subjective cognitive decline, and 51% (95% CI, 46%-56%) in participants with mild cognitive impairment, whereas for clinical AD dementia the estimates were higher for PET than CSF (87% vs 79%; mean difference, 8%; 95% CI, 0%-16%; P = .04). Gaussian mixture modeling-based cutoffs for amyloid measures on PET scans were similar to cohort-provided cutoffs and were not adjusted. Adjusted CSF cutoffs resulted in a 10% higher amyloid abnormality prevalence than PET-based estimates in persons with normal cognition (mean difference, 9%; 95% CI, 3%-15%; P = .004), subjective cognitive decline (9%; 95% CI, 3%-15%; P = .005), and mild cognitive impairment (10%; 95% CI, 3%-17%; P = .004), whereas the estimates were comparable in persons with clinical AD dementia (mean difference, 4%; 95% CI, -2% to 9%; P = .18). CONCLUSIONS AND RELEVANCE: This study found that CSF-based estimates using adjusted data-driven cutoffs were up to 10% higher than PET-based estimates in people without dementia, whereas the results were similar among people with dementia. This finding suggests that preclinical and prodromal AD may be more prevalent than previously estimated, which has important implications for clinical trial recruitment strategies and health care planning policies.

Acute Internal Medicine and Geriatrics Department of Health Medicine and Caring Sciences Linköping University Linköping Sweden

Aix Marseille Univ INSERM Institut de Neurosciences des Systèmes Marseille France

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Alzheimer Center Amsterdam Department of Neurology Amsterdam Neuroscience Vrije Universiteit Amsterdam Amsterdam University Medical Center Amsterdam the Netherlands

Alzheimer Centre Limburg Department of Psychiatry and Neuropsychology School for Mental Health and Neuroscience Maastricht University Maastricht the Netherlands

Alzheimer's Disease and Other Cognitive Disorders Unit Institut d'Investigacions Biomèdiques August Pi i Sunyer Clinic University Hospital Barcelona Spain

Alzheimer's Disease and Other Cognitive Disorders Unit Neurology Service Hospital Clínic of Barcelona IDIBAPS Barcelona Spain

Applied Biology Council of Scientific and Industrial Research Indian Institute of Chemical Technology Uppal Road Tarnaka Hyderabad Telangana State India

Aristotle University of Thessaloniki Memory and Dementia Center 3rd Department of Neurology George Papanicolau General Hospital of Thessaloniki Thessaloniki Greece

Assistance Publique Hôpitaux de Marseille Timone Service de Neurologie et Neuropsychologie Hôpital Timone Adultes Marseille France

Avid Radiopharmaceuticals Philadelphia Pennsylvania

Banner Alzheimer's Institute Phoenix Arizona

Biogen Cambridge Massachusetts

Brain and Mind Centre Faculty of Medicine and Health The University of Sydney Sydney New South Wales Australia

Brain Health Imaging Institute Department of Radiology Weill Cornell Medicine New York New York

BrainNow Research Institute Guangdong Province Shenzhen China

Center for Alzheimer Research and Treatment Department of Neurology Brigham and Women's Hospital Harvard Medical School Boston Massachusetts

Center for Neuroscience and Cell Biology University of Coimbra Coimbra Portugal

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Center for Research and Advanced Therapies Centro de Investigación y Ciencias Avanzadas Alzheimer Foundation Donostia San Sebastian Spain

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Center for Vital Longevity School of Behavioral and Brain Sciences The University of Texas at Dallas Dallas

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