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Record W4390195313 · doi:10.1002/alz.075727

Unique cognitive trajectories associated with inflammatory markers of blood‐brain barrier permeability in atrial fibrillation: An analysis of the Cardiovascular Health Study Cohort

2023· article· en· W4390195313 on OpenAlexaff
Danielle Marion, Zhe Li, Austyn D. Roseborough, Shawn N. Whitehead, Ellen E. Freeman, David H. Birnie, Fanny M. Elahi, Vladimir Hachinski, Mitchell S.V. Elkind, Oscar L. López, W.T. Longstreth, Jodi D. Edwards

Bibliographic record

VenueAlzheimer s & Dementia · 2023
Typearticle
Languageen
FieldMedicine
TopicCerebrovascular and Carotid Artery Diseases
Canadian institutionsWestern UniversityUniversity of Ottawa
Fundersnot available
KeywordsDementiaAtrial fibrillationCognitive declineMedicineInternal medicineCohortProportional hazards modelCognitionFibrinogenLogistic regressionCardiologyPsychiatryDisease

Abstract

fetched live from OpenAlex

Abstract Background Atrial fibrillation (AF) increases risk of cognitive decline independent of stroke, but mechanisms remain unclear. Elevated levels of peripheral inflammatory markers common in AF are associated with increased blood‐brain barrier (BBB) permeability and may contribute to neuroinflammation and degeneration. To examine the role of these markers in dementia risk, we estimated associations of plasma C‐reactive protein (CRP), interleukin‐6 (IL‐6), and fibrinogen with dementia and cognitive decline in aging adults with and without AF. Method Dementia free adults aged ≥ 65 years were identified from the Cardiovascular Health Cognition Study. Exposures were plasma CRP, IL‐6, and fibrinogen at baseline and follow‐up and primary outcomes were dementia and cognitive function, measured and adjudicated annually with the Modified Mini‐Mental State Examination (3MS). Competing risks Cox proportional hazards regression was used to estimate associations between time‐varying exposures and dementia. Latent class growth models were used to identify cognitive trajectories adjusted binomial logistic regression to test associations between these trajectories and baseline markers. All models were stratified by AF status, with interaction terms for sex and apolipoprotein E (APOE) ε4 status. Result Among 3,375 adults (505 with AF and 2,870 without), 480 developed dementia over a median follow‐up of 9.3 years. No associations between inflammatory markers and dementia hazard were observed, but latent class analyses identified two unique cognitive trajectories, with 82% showing a stable trajectory and 18% showing rapidly progressing decline. Among those with AF, elevated CRP and IL‐6 increased the odds of cognitive decline by 10% (95% CI 1.05 – 1.15) and 32% (95% CI 1.22 – 1.44), respectively. Sex‐specific models indicated that a 1g/L increase in fibrinogen increased the odds of cognitive decline by 57% among females with AF only (95% CI 1.36‐1.81). Among those with AF, inflammatory markers were more positively associated with cognitive decline in the presence of the APOE ε4 allele. Conclusion Elevated IL‐6 was associated with cognitive decline in aging adults both with and without AF and elevated CRP and fibrinogen were associated with cognitive decline in those with AF only. Critically, sex and APOE genotype significantly modified these associations. Future work using more sensitive markers of central inflammation is needed.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.033
Threshold uncertainty score0.067

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.015
GPT teacher head0.268
Teacher spread0.253 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2023
Admission routes1
Has abstractyes

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