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Key Takeaways
PHILADELPHIA, July 29, 2024 /PRNewswire/ -- As highly accurate blood tests for Alzheimer's disease are moving closer to use in physician's offices, new research suggests that they may revolutionize the accuracy of diagnosis and provide a cleaner, quicker path to research participation and treatment, according to data reported today at the Alzheimer's Association International Conference® (AAIC®) 2024, in Philadelphia and online.
Dementia is often underdiagnosed—and if it is diagnosed by a clinician, many people nonetheless are unaware or uninformed of their diagnosis, according to the 2024 Alzheimer's Disease Facts and Figures report. Blood tests for Alzheimer's are demonstrating in research that they could significantly improve a clinician's accuracy and confidence, provide greater accessibility and a platform for enhanced communication.
Blood tests that show the most promise for identifying Alzheimer's-related changes in the brain assess phosphorylated tau (p-tau) protein, an Alzheimer's biomarker that can build up before patients show signs of cognitive impairment. Increases in the specific marker p-tau217 over time correlate with worsening cognition and brain atrophy. The p-tau217 test also predicts the likelihood of amyloid plaques in the brain, which are another biomarker for Alzheimer's and the target for recently approved treatments.
"Blood tests, once they (a) are confirmed in large populations to be more than 90% accurate and (b) become more widely available, show promise for improving, and possibly redefining, the clinical trial recruitment process and the diagnostic work-up for Alzheimer's," said Maria C. Carrillo, Ph.D., Alzheimer's Association chief science officer and medical affairs lead. "While at this time doctors in primary and secondary care should use a combination of cognitive and blood or other biomarker testing to diagnose Alzheimer's, blood tests have the potential to increase the accuracy of early diagnoses and maximize the opportunity to access Alzheimer's treatments as early as possible for better outcomes."
When considering use of a blood test, the Alzheimer's Association Appropriate Use Recommendations for Blood Biomarkers in Alzheimer's Disease should be carefully followed. To help guide health care professionals in incorporating blood tests for Alzheimer's in their clinical practice, the Association has convened a panel of clinical and subject-matter experts and is leading the preparation of clinical practice guidelines for the use of blood biomarkers in Alzheimer's, which will be previewed at AAIC 2024.
Blood Test Can Improve Diagnosis Among Primary Care and Alzheimer's Disease Specialists
A large study, reported for the first time at AAIC 2024, shows that blood tests can do a better job of accurately detecting Alzheimer's than both primary care doctors and specialists who were using traditional diagnostic methods.
In the study, 1,213 patients were tested with the PrecivityAD2 test (known as "APS2"). It uses a combination of (1) plasma phosphorylated-tau217 to not-phosphorylated-tau217 ratio (known as %p-tau217) and (2) the ratio of two types of amyloid (Aβ42/Aβ40), and it significantly outperformed clinicians in this study.
Researchers observed that the APS2 test was highly accurate even in patients with comorbidities, such as kidney disease, which are common in older patients seen by primary care physicians.
"Notably, these were the results of blood samples that have been shipped bi-weekly for analysis from primary care units, which is similar to routine clinical practice," said lead author Sebastian Palmqvist, M.D., Ph.D., at Lund University, Lund, Sweden. "These results were especially impressive considering that older populations in primary care often have medical conditions that can influence or vary the concentrations of p-tau217."
"We see this as a major step towards global clinical implementation of an Alzheimer's blood test," said senior author Oskar Hansson, M.D., Ph.D., also at Lund University. "It highlights the need for Alzheimer's biomarkers in making a correct diagnosis more of the time. The next steps include establishing clear guidelines for how an Alzheimer's blood test can be used in clinical practice, preferably by implementing these tests first in specialist care and then in primary care. This work is currently ongoing."
The research reported at AAIC is funded in part by the Alzheimer's Association, and is simultaneously published in the Journal of the American Medical Association.
Research Shows Blood Tests Could Identify Cognitively Unimpaired People for Clinical Trials
Including people at earlier stages of Alzheimer's in clinical trials could potentially help identify treatments that may be effective when symptoms are mild or absent. A study reported at AAIC 2024 found that p-tau217 blood tests could provide a simple and accurate selection tool for identifying cognitively unimpaired patients who likely have amyloid-beta plaques in their brains.
The researchers analyzed samples from 2,718 cognitively unimpaired participants across 10 different studies who had available plasma p-tau217 and amyloid-beta PET imaging or CSF samples. They found that plasma p-tau217 can positively predict (with a range of 79-86%) the likelihood that a cognitively unimpaired person would also test positive for amyloid-beta pathology on an amyloid PET scan or CSF biomarker. Adding the results from the amyloid-beta CSF test or an amyloid beta PET scan to the analysis after a positive blood sample improves the positive prediction to 90% or above, and thereby confidence in the presence of amyloid in the brain using a plasma p-tau217 test.
"If these numbers hold up and are replicated and confirmed by other independent labs, this approach may reduce the need for lumbar punctures and PET scans for Alzheimer's diagnosis by 80 or even 90 percent," said Gemma Salvadó, Ph.D., lead author of the study and an associate researcher at Lund University. "Our results support that plasma p-tau217 positivity alone may be sufficient as a selection of cognitively unimpaired, amyloid-positive participants for many clinical trials."
Blood Tests Could Drastically Reduce Wait Times for Alzheimer's Diagnosis and Treatment
Approved Alzheimer's treatments are indicated for people with mild cognitive impairment due to Alzheimer's or mild Alzheimer's dementia, and they must have confirmed amyloid-beta biology in the brain. Therefore, it's important to identify people who might benefit as early in the course of the disease as possible. Right now, there are often lengthy wait times to complete comprehensive testing for an Alzheimer's diagnosis due to the limited number of Alzheimer's specialists, and variable and often inequitable access to PET imaging or the expertise required for CSF analysis.
Research reported at AAIC 2024 suggests that using high-performing blood tests in primary care could identify potential Alzheimer's patients much earlier so specialists can determine if they are eligible for new treatments.
The researchers used a well-established forecasting model to predict wait times for people eligible for treatment, accounting for both the limited number of Alzheimer's disease specialists and the growing older population. The model included the projected U.S. population of people 55 and older from 2023 to 2032 and compared two scenarios. The first was that primary care clinicians would decide whether or not to refer a patient to an Alzheimer's disease specialist based on the results of a brief cognitive test. The second was that they would also factor in the results of a high-performance blood test and assume that a blood test would be given to individuals testing positive for early-stage cognitive impairment in primary care and referrals to specialty care would be informed by the test results.
The model suggests that by 2033, people will wait an average of nearly six years (70 months) to understand if they could be eligible for new Alzheimer's treatments if their primary care doctor only used brief cognitive assessments to make referrals. If blood tests were used to rule out Alzheimer's, the average wait times would be reduced to 13 months for Alzheimer's patients because far fewer patients would need to see a specialist. Researchers also determined that if blood tests and brief cognitive assessments were used at the primary care level to rule in the possibility of an Alzheimer's diagnosis, wait times to understand eligibility for new treatments would fall to less than six months on average because of reduced demand for Alzheimer's specialists and the additional capacity now available for CSF or PET testing.
"Our results suggest using blood tests to identify potential candidates for treatments could make a significant difference in treating people with early Alzheimer's," said Soeren Mattke, M.D., D.Sc., lead author of the study and director of the Brain Health Observatory, at the University of Southern California, Los Angeles. "Currently, eligible patients are falling outside of the treatment window because it takes so long to receive a diagnosis. An easy-to-use blood test could help address that problem."
About the Alzheimer's Association International Conference® (AAIC®)
The Alzheimer's Association International Conference (AAIC) is the world's largest gathering of researchers from around the world focused on Alzheimer's and other dementias. As a part of the Alzheimer's Association's research program, AAIC serves as a catalyst for generating new knowledge about dementia and fostering a vital, collegial research community.
AAIC 2024 home page: www.alz.org/aaic/
AAIC 2024 newsroom: www.alz.org/aaic/pressroom.asp
AAIC 2024 hashtag: #AAIC24
About the Alzheimer's Association®
The Alzheimer's Association is a worldwide voluntary health organization dedicated to Alzheimer's care, support and research. Our mission is to lead the way to end Alzheimer's and all other dementia — by accelerating global research, driving risk reduction and early detection, and maximizing quality care and support. Our vision is a world without Alzheimer's and all other dementia®. Visit alz.org or call 800.272.3900.
*** AAIC 2024 news releases may contain updated data that does not match what is reported in the following abstracts.
