Trial Outcomes & Findings for Measuring Brain Amyloid Plaque Load in Older Adults Using BAY 94-9172 (NCT NCT01222351)

NCT ID: NCT01222351

Last Updated: 2024-05-06

Results Overview

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.

Recruitment status

COMPLETED

Study phase

NA

Target enrollment

161 participants

Primary outcome timeframe

up to 3 years and 10 months

Results posted on

2024-05-06

Participant Flow

Participant milestones

Participant milestones
Measure
BAY 94-9172
BAY 94-9172 PET/CT BAY 94-9172 (Florbetaben): Measure of brain amyloid load using BAY 94-9172 PET/CT
Overall Study
STARTED
160
Overall Study
COMPLETED
160
Overall Study
NOT COMPLETED
0

Reasons for withdrawal

Withdrawal data not reported

Baseline Characteristics

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

Baseline characteristics by cohort

Baseline characteristics by cohort
Measure
BAY 94-9172
n=160 Participants
BAY 94-9172 PET/CT BAY 94-9172 (Florbetaben): Measure of brain amyloid load using BAY 94-9172 PET/CT
Age, Categorical
<=18 years
0 Participants
n=5 Participants
Age, Categorical
Between 18 and 65 years
0 Participants
n=5 Participants
Age, Categorical
>=65 years
160 Participants
n=5 Participants
Sex: Female, Male
Female
102 Participants
n=5 Participants
Sex: Female, Male
Male
58 Participants
n=5 Participants
Ethnicity (NIH/OMB)
Hispanic or Latino
37 Participants
n=5 Participants
Ethnicity (NIH/OMB)
Not Hispanic or Latino
123 Participants
n=5 Participants
Ethnicity (NIH/OMB)
Unknown or Not Reported
0 Participants
n=5 Participants
Race (NIH/OMB)
American Indian or Alaska Native
0 Participants
n=5 Participants
Race (NIH/OMB)
Asian
0 Participants
n=5 Participants
Race (NIH/OMB)
Native Hawaiian or Other Pacific Islander
0 Participants
n=5 Participants
Race (NIH/OMB)
Black or African American
67 Participants
n=5 Participants
Race (NIH/OMB)
White
58 Participants
n=5 Participants
Race (NIH/OMB)
More than one race
12 Participants
n=5 Participants
Race (NIH/OMB)
Unknown or Not Reported
23 Participants
n=5 Participants
Region of Enrollment
United States
160 participants
n=5 Participants

PRIMARY outcome

Timeframe: 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.

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.

Outcome measures

Outcome measures
Measure
BAY 94-9172
n=116 Participants
We used BAY 94-9172 (Florbetaben) to measure the presence of of brain amyloid.
Relationship Between Cognitive Change Over Time and Amyloid (Aβ) Deposition
Participant with positive amyloid reading
41 Participants
Relationship Between Cognitive Change Over Time and Amyloid (Aβ) Deposition
Participant without positive amyloid reading
75 Participants

Adverse Events

BAY 94-9172

Serious events: 0 serious events
Other events: 0 other events
Deaths: 0 deaths

Serious adverse events

Adverse event data not reported

Other adverse events

Adverse event data not reported

Additional Information

Yaakov Stern

Columbia University

Phone: 212-342-1350

Results disclosure agreements

  • Principal investigator is a sponsor employee
  • Publication restrictions are in place