Last week, just before #WorldAlzheimersDay, I joined the Alzheimer's Association?'s
#AAICAdvancements: Modernizing Diagnosis Meeting (#ADdx24). The main focus of the meeting was to bring together clinicians, industry, and academia to discuss the latest updates to the diagnostic framework for AD. Both biological and clinical staging are important but currently one has better tools to measure than the other - can you guess which?!?!
The 2024 update to the guidance for diagnosing AD clearly defines the disease through a combination of the clinical and biological staging (link in comments). A lot of focus was placed on the emerging tools for biological staging, like pTau217, but not so much focus was spent on how to accurately perform clinical staging. The clinical staging guidelines have remained largely unchanged since 2011!
The 2D matrix describing the Alzheimer's staging is outlined in Table 7 (below)
The clinical stages map to:
0: Genetically Determined AD
1: Cognitively Unimpaired
2: Subjective Cognitive Decline (SCD)
3: Mild Cognitive Impairment (MCI)
4-6: Mild, Moderate, and Severe Dementia
While there were many fantastic sessions and posters, I found one of the most interesting sessions at #ADdx24 to be the final discussion, "Can Blood Tests Stand Alone in Alzheimer's Disease Diagnosis?".
Some interesting points that came up are:
- Biomarker testing is not currently recommended for anyone without cognitive symptoms.
- Pre-test probabilities are important in biomarker positive/negative predictive value and can be driven by factors like age and cognitive status.
- A specialist clinician is needed to make a determination between SCD (Stage 2) and MCI (Stage 3).?
- Specialist clinicians are less than 75% accurate in diagnosing MCI (Stage 3).
- Wait times to see a specialist range from 2-12 months depending on where you live.
- The gray diagonal in the integrated biological + clinical staging table is the "expected progression" of biomarkers and clinical effects. Right of the diagonal is explained by co-pathologies. To the left of the diagonal are individuals who show resilience to the disease pathology. This resilient group is currently poorly understood.
- Resilience can have a significant impact on clinical trial outcomes when resilient individuals are randomized to the placebo group.
It is clear that Alzheimer's diagnostics are advancing and #biomarker tests are continuing to improve. There is also a clear need for better clinical measures of cognitive impairment and dementia. I'm excited about the work we're doing at Kernel to build objective clinical measures of brain function that relate directly to cognitive decline.
We can also help solve some of today's challenges in drug development, like resilience!
I look forward to continuing our work to advance the field so we can create better outcomes for patients with #Alzheimers. Special shoutout to Phyllis Ferrell for being the most enthusiastic poster visitor.