US to build $300 million database to fuel Alzheimer's research
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[April 03, 2023]
By Julie Steenhuysen
CHICAGO (Reuters) - The U.S. National Institute on Aging (NIA) is
funding a 6-year, up to $300 million project to build a massive
Alzheimer's research database that can track the health of Americans for
decades and enable researchers to gain new insights on the brain-wasting
disease.
The NIA, part of the government's National Institutes of Health (NIH),
aims to build a data platform capable of housing long-term health
information on 70% to 90% of the U.S. population, officials told Reuters
of the grant, which had not been previously reported.
The platform will draw on data from medical records, insurance claims,
pharmacies, mobile devices, sensors and various government agencies,
they said.
"Real-world data is what we need to make a lot of decisions about the
effectiveness of medications and looking really at a much broader
population than most clinical trials can cover," Dr. Nina Silverberg,
director of the NIA's Alzheimer's Disease Research Centers program, said
in an interview.
Tracking patients before and after they develop Alzheimer’s symptoms is
seen as integral to making advances against the disease, which can start
some 20 years before memory issues develop.
Alzheimer's research has been galvanized by Leqembi, a new treatment
from Eisai Co Ltd and Biogen Inc that slows advance of the disease in
early-stage patients.
The database could help identify healthy people at risk for Alzheimer's,
which affects about 6 million Americans, for future drug trials. It also
aims to address chronic underrepresentation of people of color and
different ethnicities in Alzheimer’s clinical trials and could help
increase enrollment from outside of urban academic medical centers.
Once built, the platform could also track patients after they receive
treatments such as Leqembi, which won accelerated U.S. approval in
January, and is widely expected to receive traditional FDA approval by
July 6.
The U.S. Medicare health plan for older adults will likely require such
tracking in a registry as a condition of reimbursement for Leqembi.
"We didn't design it for that purpose," Silverberg said, but "it might
be possible" to use it for that purpose.
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Dr. Seth Gale points out evidence of
Alzheimer’s disease on PET scans at the Center for Alzheimer
Research and Treatment (CART) at Brigham And Women’s Hospital in
Boston, Massachusetts, U.S., March 30, 2023. REUTERS/Brian Snyder
The Centers for Medicare and
Medicaid Services, which runs the U.S. Medicare insurance program,
did not respond to a request for comment.
Silverberg said the data platform could also help researchers
working in other disease areas understand which patients are most at
risk and the impact of medications.
During the pandemic, the U.S. lagged other countries with national
health systems in being able to analyze patient data for COVID-19.
The system would be built in a secure computing environment with a
number of restrictions to ensure the privacy of people's health
data, Silverberg said.
The grant, which was posted on March 13, has been years in the
making. The funding announcement sets its earliest start date at
April 2024, with a goal to establish an Alzheimer’s registry 21
months later.
Several stakeholders including Medicare and patient advocacy groups
the Alzheimer's Association and UsAgainstAlzheimer's took part in a
workshop last spring to discuss the design of the platform.
Alzheimer's Association Chief Science Officer Maria Carrillo said in
an interview that the organization plans to apply for the NIA
platform grant, which will award $50 million a year for up to six
years.
Partha Bhattacharyya, chief data officer of the NIH Office of Data
Resources and Analytics said: "We envision this platform will allow
researchers to recruit across the United States."
"If we are to play a greater role in prevention, we must start
early. That is not at age 65," he said.
(Reporting by Julie Steenhuysen; additional reporting by Ahmed
Aboulenein; editing by Caroline Humer and Bill Berkrot)
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