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Scalable plasma and digital cognitive markers for diagnosis and prognosis of Alzheimer's disease and related dementias
Tsoy E, La Joie R, VandeVrede L, Rojas JC, Yballa C, Chan B, Lago AL, Rodriguez AM et al.. Alzheimer's & dementia : the journal of the Alzheimer's Association, 2024-01-15
Topic: Plasma and spinal-fluid biomarkers
Introduction With emergence of disease-modifying therapies, efficient diagnostic pathways are critically needed to identify treatment candidates, evaluate disease severity, and support prognosis. A combination of plasma biomarkers and brief digital cognitive assessments could provide a scalable alternative to current diagnostic work-up. Methods We examined the accuracy of plasma biomarkers and a 10-minute supervised tablet-based cognitive assessment (Tablet-based Cognitive Assessment Tool Brain Health Assessment [TabCAT-BHA]) in predicting amyloid β positive (Aβ+) status on positron emission tomography (PET), concurrent disease severity, and functional decline in 309 older adults with subjective cognitive impairment (n = 49), mild cognitive impairment (n = 159), and dementia (n = 101). Results Combination of plasma pTau181, Aβ42/40, neurofilament light (NfL), and TabCAT-BHA was optimal for predicting Aβ-PET positivity (AUC = 0.962). Whereas NfL and TabCAT-BHA optimally predicted concurrent disease severity, combining these with pTau181 and glial fibrillary acidic protein was most accurate in predicting functional decline. Discussion Combinations of plasma and digital cognitive markers show promise for scalable diagnosis and prognosis of ADRD. Highlights The need for cost-efficient diagnostic and prognostic markers of AD is urgent. Plasma and digital cognitive markers provide complementary diagnostic contributions. Combination of these markers holds promise for scalable diagnosis and prognosis. Future validation in community cohorts is needed to inform clinical implementation.
Key findings
- Results Combination of plasma pTau181, Aβ42/40, neurofilament light (NfL), and TabCAT-BHA was optimal for predicting Aβ-PET positivity (AUC = 0.962).
Study details
- Participants49
- Effect sizeAUC = 0.962
- Evidence strengthLow
How this study scored 60/100
Published in a leading specialty journal. Scored zero for study design and randomised / blinded because the record does not state it. We have no data on journal's citation record, times cited, citations per year, impact for its field and year, cited by studies here, still being cited, senior author's track record, institution's track record and multi-centre collaboration, so those were left out: it earned 35 of the 58 points we could judge it on, which is 60 out of 100.
| Component | Points | Why |
|---|---|---|
| Journal tier | 9 / 10 | Tier 2 — leading specialty journal (Alzheimer's & dementia : the journal of the Alzheimer's Association) |
| Journal's citation record | — / 4 | No journal record from OpenAlex — left out of this score |
| Study design | 0 / 12 | No study design recorded — scores zero, not guessed (not stated in the record — scored 0) |
| Strength of evidence | 1 / 5 | Rated “low” in our summary |
| Peer-review validation | 10 / 10 | Peer-reviewed. Published as an article in a named peer-reviewed journal. |
| How recent | 4 / 5 | 2024 — within 3 year(s) of the newest study here |
| Sample size | 1 / 4 | 49 participants |
| Effect reported | 3 / 3 | Effect reported with a statistic (interval, p-value, ratio or similar) |
| Studied in people | 3 / 3 | Studied in people (participant count stated) |
| Randomised / blinded | 0 / 2 | No randomisation or blinding stated — scores zero (not stated in the record — scored 0) |
| Times cited | — / 7 | No citation count (not found in OpenAlex) — left out of this score |
| Citations per year | — / 5 | No citation count or no year — left out of this score |
| Impact for its field and year | — / 6 | No field-weighted citation impact (OpenAlex has none yet) — left out of this score |
| Cited by studies here | — / 6 | Not yet checked against this library's citation graph — left out of this score |
| Still being cited | — / 4 | No yearly citation counts — left out of this score |
| Senior author's track record | — / 4 | Senior author's record not available — left out of this score |
| Institution's track record | — / 3 | No institution listed in OpenAlex — left out of this score |
| Multi-centre collaboration | — / 3 | Institutions not listed — left out of this score |
| Indexed in PubMed | 2 / 2 | Indexed in PubMed (PMID 38224278) |
| Free to read | 2 / 2 | Free to read |
| Points | 35 / 58 | Scored on 11 of 20 parts. We have no data for the rest, so they are left out: 35 of the 58 points we could judge it on is 60 out of 100. |
| Total | 60 / 100 | — |
What each of these 20 components measures, and what this score is not →
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APA 7th
Tsoy, E., La Joie, R., VandeVrede, L., Rojas, J. C., Yballa, C., Chan, B., et al. (2024). Scalable plasma and digital cognitive markers for diagnosis and prognosis of Alzheimer's disease and related dementias. Alzheimer's & dementia : the journal of the Alzheimer's Association. https://doi.org/10.1002/alz.13686
Vancouver
Tsoy E, La Joie R, VandeVrede L, Rojas JC, Yballa C, Chan B, et al. Scalable plasma and digital cognitive markers for diagnosis and prognosis of Alzheimer's disease and related dementias. Alzheimer's & dementia : the journal of the Alzheimer's Association. 2024. doi:10.1002/alz.13686. PMID: 38224278.
BibTeX
@article{tsoy2024-38224278,
author = {Tsoy, E. and La Joie, R. and VandeVrede, L. and Rojas, J. C. and Yballa, C. and Chan, B. and Lago, A. L. and Rodriguez, A. M. and others},
title = {{Scalable plasma and digital cognitive markers for diagnosis and prognosis of Alzheimer's disease and related dementias}},
journal = {Alzheimer's \& dementia : the journal of the Alzheimer's Association},
year = {2024},
doi = {10.1002/alz.13686},
pmid = {38224278},
url = {https://doi.org/10.1002/alz.13686}
}
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