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Measuring Brain Amyloid Plaque Load in Older Adults Using BAY 94-9172

BAY 94-9172 PET/CT in Cognitively Normal Older Adults, Older Adults With Mild Cognitive Impairment, and Older Adults With Alzheimer's Disease

Status
Completed
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT01222351
Enrollment
161
Registered
2010-10-18
Start date
2010-12-31
Completion date
2014-10-22
Last updated
2024-05-06

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Late Onset Alzheimer Disease

Keywords

Alzheimer's disease, Positron emission tomography, Biomarker, Brain amyloid plaque load

Brief summary

The overall goal of this project is to establish and validate biomarkers associated with the risk and progression of late onset Alzheimer's disease, mild cognitive impairment and cognitive decline. The investigators will use baseline and longitudinal measurements of plasma amyloid beta-40 and amyloid beta-42 to investigate the risk of developing mild cognitive impairment and late onset Alzheimer's disease, as well as the rates of cognitive decline and Alzheimer's disease progression. The driving hypothesis of the study is that amyloid beta in the brain as measured by positron emission tomography positivity is associated with the onset of cognitive decline associated with late onset Alzheimer's disease.

Detailed description

This project is a sub-study of the Washington Heights-Inwood Community Aging Project, which is a multidisciplinary, epidemiological study of Alzheimer's disease and related neurodegenerative disorders. We will obtain positron emission tomography scans and simultaneous x-ray computed tomography scans using Florbetaben from Bayer on a selection of ongoing participants who will be selected on the basis of change in plasma levels of amyloid beta over time. Approximately 200 participants will receive scans beginning in 2009 and in the 2010-2012 assessment wave and then again in a 2014-2015 assessment wave. Our intention is to examine whether uptake of Florbetaben in the brain is associated with decline in cognition over the 10 years prior to the PET scan.

Interventions

DRUGBAY 94-9172 (Florbetaben)

Measure of brain amyloid load using BAY 94-9172 PET/CT

Sponsors

Bayer
CollaboratorINDUSTRY
National Institute on Aging (NIA)
CollaboratorNIH
New York State Psychiatric Institute
Lead SponsorOTHER

Study design

Allocation
NA
Intervention model
SINGLE_GROUP
Primary purpose
DIAGNOSTIC
Masking
NONE

Eligibility

Sex/Gender
ALL
Age
65 Years to No maximum
Healthy volunteers
No

Inclusion criteria

* Current Washington Heights-Inwood Community Aging Project (WHICAP) participant Age 65 or older Residing in the community of Washington-Heights/Inwood/Hamilton Heights * Is able to provide informed consent, understand the information provided on the purpose and conduct of the trial and exhibits adequate visual, auditory and communication capabilities to enable compliance with study procedures. This includes performing the psychometric testing and being able to lie down flat in the Positron Emission Tomography (PET) scanner * Possesses a general health that permits adequate compliance with all study procedures. * Informed consent has been signed and dated (with time) by the subject and/or the subject's caregiver (for probable Alzheimer's Disease (AD) patients)

Exclusion criteria

* Has any contraindication to PET, such as claustrophobia, or inability to lie flat for half an hour as determined by the onsite radiologist performing the scan * Current, past, or anticipated exposure to radiation, which may include being badged for radiation exposure in the workplace or participation in nuclear medicine procedures, including research protocols in the last year * Significant active physical illness particularly those that may affect the brain including blood dyscrasias, lymphomas, hypersplenism, endocrinopathies, renal failure or chronic obstructive lung disease, autonomic neuropathies, peripheral vascular disease, low hemoglobin and malignancy * Scheduled for surgery and/or another invasive procedure within the time period of up to 24 hours following scan * Allergic to the tracer or any of its constituents and/or has a history of severe allergic reactions to drugs or allergens (e.g. patients with allergic asthma) * Critically ill and/or medically unstable and whose clinical course within the observation period is unpredictable, e.g. participants with 14 days of myocardial infarction or stroke, unstable participants with previous surgery (within 7 days), participants with advanced heart insufficiency (New York Heart Association (NYHA) stage IV), or participants with acute renal failure. * Has received any contrast material (X-ray, Magnetic Resonance Imaging (MRI)), or radiopharmaceuticals within 48 hours prior to the application of the Investigational Medicinal Product (IMP) or for whom application of such a substance is planned for 24 hours following IMP administration

Design outcomes

Primary

MeasureTime frameDescription
Relationship Between Cognitive Change Over Time and Amyloid (Aβ) Depositionup to 3 years and 10 monthsWe used PET imaging to measure presence of amyloid. The outcomes are cognitive z-scores, which had mean of zero and SD of 1, with no units. There are four cognitive domains (language, memory, processing speed, and visuospatial ability). Individual neuropsychological test Z-scores within each domain were averaged to get the mean domain z-scores. Finally, the four cognitive domain-specific Z-scores were then averaged into a global cognitive Z-score. A larger Z-score represents better cognitive performance. Latent growth curve model was used to test for the association between Aβ and cognitive change over time. The Beta weight is a coefficient from the model that indicates the difference in cognitive change between people with and without amyloid. A positive Beta weight indicates that Aβ deposition is associated with less decline in cognitive scores, a negative Beta weight indicates greater decline. The Beta weight is unitless, and it does not have a range.

Countries

United States

Participant flow

Participants by arm

ArmCount
BAY 94-9172
BAY 94-9172 PET/CT BAY 94-9172 (Florbetaben): Measure of brain amyloid load using BAY 94-9172 PET/CT
160
Total160

Baseline characteristics

CharacteristicBAY 94-9172
Age, Categorical
<=18 years
0 Participants
Age, Categorical
>=65 years
160 Participants
Age, Categorical
Between 18 and 65 years
0 Participants
Ethnicity (NIH/OMB)
Hispanic or Latino
37 Participants
Ethnicity (NIH/OMB)
Not Hispanic or Latino
123 Participants
Ethnicity (NIH/OMB)
Unknown or Not Reported
0 Participants
Race (NIH/OMB)
American Indian or Alaska Native
0 Participants
Race (NIH/OMB)
Asian
0 Participants
Race (NIH/OMB)
Black or African American
67 Participants
Race (NIH/OMB)
More than one race
12 Participants
Race (NIH/OMB)
Native Hawaiian or Other Pacific Islander
0 Participants
Race (NIH/OMB)
Unknown or Not Reported
23 Participants
Race (NIH/OMB)
White
58 Participants
Region of Enrollment
United States
160 participants
Sex: Female, Male
Female
102 Participants
Sex: Female, Male
Male
58 Participants

Adverse events

Event typeEG000
affected / at risk
deaths
Total, all-cause mortality
0 / 160
other
Total, other adverse events
0 / 160
serious
Total, serious adverse events
0 / 160

Outcome results

Primary

Relationship Between Cognitive Change Over Time and Amyloid (Aβ) Deposition

We used PET imaging to measure presence of amyloid. The outcomes are cognitive z-scores, which had mean of zero and SD of 1, with no units. There are four cognitive domains (language, memory, processing speed, and visuospatial ability). Individual neuropsychological test Z-scores within each domain were averaged to get the mean domain z-scores. Finally, the four cognitive domain-specific Z-scores were then averaged into a global cognitive Z-score. A larger Z-score represents better cognitive performance. Latent growth curve model was used to test for the association between Aβ and cognitive change over time. The Beta weight is a coefficient from the model that indicates the difference in cognitive change between people with and without amyloid. A positive Beta weight indicates that Aβ deposition is associated with less decline in cognitive scores, a negative Beta weight indicates greater decline. The Beta weight is unitless, and it does not have a range.

Time frame: up to 3 years and 10 months

Population: In this analysis we evaluated whether the presence of amyloid was related to previous decline in cognition in 116 subjects. Mean cognition summarized performance on several cognitive tests. were analyzed. Global amyloid burden was rated with a visual rating by 2 trained clinicians.

ArmMeasureGroupValue (COUNT_OF_PARTICIPANTS)
BAY 94-9172Relationship Between Cognitive Change Over Time and Amyloid (Aβ) DepositionParticipant with positive amyloid reading41 Participants
BAY 94-9172Relationship Between Cognitive Change Over Time and Amyloid (Aβ) DepositionParticipant without positive amyloid reading75 Participants
p-value: 0.02latent growth curve model

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026