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Updated: Jan 7, 2026

Dried Blood Spot Collection of Health Biomarkers to Maximize Participation in Population Studies
Published on: January 28, 2014
Biomarkers
Robert W Deering1, Neal S Parikh1, Sasikiran Goteti1
1Alnylam Pharmaceuticals, Inc., Cambridge, MA, USA.
Insights
Approximately 26% of participants with cognitive issues had probable cerebral amyloid angiopathy (CAA). Older age, dementia severity, and APOE4 genotype were linked to higher CAA likelihood.
Area of Science:
- Neurology
- Neuroimaging
- Geriatric Medicine
Background:
- Cerebral amyloid angiopathy (CAA) involves amyloid-beta deposition in brain vessels, leading to cognitive decline and potential hemorrhages.
- Identifying CAA is crucial as it impacts treatment decisions for certain therapies.
- This study aimed to determine the prevalence of probable CAA in the Alzheimer's Disease Neuroimaging Initiative (ADNI) cohort.
Purpose of the Study:
- To estimate the proportion of ADNI participants with probable cerebral amyloid angiopathy (CAA) using Boston Criteria version 2.0.
- To identify baseline characteristics associated with probable CAA in this cohort.
Main Methods:
- Utilized MRI data (3D T1, FLAIR, T2* GRE) from ADNI participants with cognitive symptoms (CDR-SB > 0).
- Blinded neuroradiologists applied Boston Criteria v2.0 to categorize CAA severity (none, possible, probable).
- Regression analyses identified factors associated with probable CAA; inter-reader variability was assessed.
Main Results:
- Out of 828 participants, 25.7% had probable CAA.
- In the probable CAA group, 46.9% had mild cognitive impairment and 44.6% had dementia.
- Older age, higher CDR-SB scores, and APOE4 homozygosity were significantly associated with probable CAA.
Conclusions:
- Probable CAA was identified in about 26% of ADNI participants with cognitive symptoms.
- Age, dementia severity, and APOE4 genotype may predict CAA likelihood.
- Highlights the importance of assessing CAA in patients with cognitive complaints and the need for tailored research and clinical approaches.
Background:
Cerebral amyloid angiopathy (CAA) is characterized by progressive cerebrovascular amyloid-beta deposition associated with hemorrhagic and nonhemorrhagic manifestations. Evidence of prior cerebral hemorrhage and CAA can have significant implications for treatment with some approved therapies. This study sought to estimate the proportion of Alzheimer's Disease Neuroimaging Initiative (ADNI) participants who have probable CAA by systematically applying Boston Criteria version 2.0. In addition, we sought to evaluate characteristics associated with probable CAA in this population.
Method:
Participants in ADNI with cognitive symptoms or deficits (at least one Clinical Dementia Rating-Sum of Boxes [CDR-SB] score of >0) with relevant imaging for CAA adjudication were included. 3D T1-weighted, fluid-attenuated inversion recovery (FLAIR) and T2* Gradient Echo magnetic resonance imaging (MRI) sequences were downloaded from the ADNI database. Blinded neuroradiologists evaluated brain MRIs to categorize participants as having no CAA, possible CAA, or probable CAA using the Boston Criteria version 2.0. A 10% sample was randomly selected to evaluate inter-reader variability. Baseline characteristics associated with probable CAA were assessed using univariate and multiple regression analyses.
Result:
828 participants met inclusion criteria (Figure 1): 30.8% had no CAA, 43.5% had possible CAA, and 25.7% had probable CAA. Among those with probable CAA, 46.9% had mild cognitive impairment and 44.6% had dementia; median CDR-SB score was 3 (IQR 1-5). Among age, sex, CDR-SB score, apolipoprotein E4 (APOE4) homozygosity, hypertension, and antithrombotic medication use, an exploratory multiple logistic regression identified older age, higher CDR-SB score, and APOE4 homozygosity as independently and significantly associated with probable CAA (p <0.05). High interobserver agreement was observed (inter-reader correlation >90%). Additional results will be presented.
Conclusion:
Systematic application of Boston Criteria version 2.0 using the ADNI database identified probable CAA in approximately 26% of participants with cognitive symptoms or deficits. Age, dementia severity, and APOE4 genotype may inform the likelihood of having CAA; however, probable CAA was identified in patients across the spectrum of cognitive impairment severity. These data underscore the value of rigorous assessment of CAA in patients with cognitive complaints broadly, and the need for research and clinical paradigms to meet the needs of such patients.
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