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Record W4312087934 · doi:10.1002/alz.062384

Association between markers of left atrial cardiopathy and cognitive decline in the absence of atrial fibrillation

2022· article· en· W4312087934 on OpenAlexaff
Zhe Li, Danielle Marion, Jessica Blair, Elsayed Z. Soliman, David J. Gladstone, Hooman Kamel, Douglas G. Manuel, Jodi D. Edwards

Bibliographic record

VenueAlzheimer s & Dementia · 2022
Typearticle
Languageen
FieldMedicine
TopicAtrial Fibrillation Management and Outcomes
Canadian institutionsOttawa HospitalInstitute for Clinical Evaluative SciencesUniversity of Ottawa
Fundersnot available
KeywordsAtrial fibrillationMedicineInternal medicineHazard ratioStroke (engine)CardiologyCognitive declineCohortProportional hazards modelCognitionCohort studyProspective cohort studyDementiaDiseaseConfidence intervalPsychiatry

Abstract

fetched live from OpenAlex

Abstract Background Whether atrial cardiopathy is independently associated with cognitive impairment in the absence of atrial fibrillation (AF) remains unknown. This longitudinal cohort study aims to investigate associations between markers of left atrial cardiopathy and cognitive decline, and to identify longitudinal trajectories of cognitive decline in aging adults without AF over time. Method A cohort of adults ≥45 years of age with no prior AF or cognitive impairment (N=21,869) was ascertained from the REGARDS (Reasons for Geographic and Racial Differences in stroke) prospective cohort study database. Markers of left atrial cardiopathy included atrial premature complexes (APCs) and N‐Terminal pro‐Brain Natriuretic Peptide (NTpro‐BNP). Cognitive status was measured using Six‐Item Screener (SIS) and an SIS score <5 was defined as cognitive impairment. Cox proportional hazards regression was used to estimate the cause‐specific hazard for primary (cognitive impairment) and secondary outcomes (stroke). Cognitive status trajectories were identified using latent class growth models. Baseline characteristics associated with each trajectory were identified using multinomial logistic regression. Result During a mean follow‐up of 9.9 years, 6,060 participants had incident cognitive impairment and 876 had a stroke. APCs increased the hazard of cognitive impairment by 10% (hazard ratio [HR], 1.10, 95%CI: 1.00‐1.20) and stroke by 9% (HR, 1.09, 95%CI: 1.01‐1.18). Elevated NTpro‐BNP increased the hazard of cognitive impairment by 55% (HR, 1.55, 95%CI: 1.17‐2.04) and stroke by 35% (HR, 1.35, 95%CI: 1.13‐1.60). Three unique cognitive trajectories were identified: while 85% showed a normal and stable trajectory of SIS scores, 13% showed a progressively decreasing trajectory, and 2% showed a dramatic decrease in SIS scores. Age, coronary artery disease, diabetes, and NTpro‐BNP were all associated with worse cognitive trajectories. Conclusion We showed that markers of left atrial cardiopathy including APCs and elevated NTpro‐BNP were associated with an increased risk of cognitive impairment and stroke in the absence of AF. Adults with these markers followed three unique longitudinal cognitive trajectories. These findings indicate that markers of left atrial cardiopathy (APCs and NTpro‐BNP) may have significant implications for early diagnosis and prevention of cognitive impairment.

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)0.001
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 score0.006
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.038
GPT teacher head0.309
Teacher spread0.271 · 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
Published2022
Admission routes1
Has abstractyes

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