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Record W3113224303 · doi:10.1002/alz.040656

Changes in cardiac structure over 25 years are associated with lower midlife cognition: The CARDIA study

2020· article· en· W3113224303 on OpenAlexaboutno aff
Laure Rouch, Tina Hoang, Feng Xia, Stephen Sidney, João A.C. Lima, Kristine Yaffe

Bibliographic record

VenueAlzheimer s & Dementia · 2020
Typearticle
Languageen
FieldMedicine
TopicBlood Pressure and Hypertension Studies
Canadian institutionsnot available
Fundersnot available
KeywordsEjection fractionCardiologyDigit symbol substitution testInternal medicineMedicineCognitionVerbal fluency testStroop effectMontreal Cognitive AssessmentCognitive declineVerbal memoryCoronary artery diseaseHeart failureDiseaseDementiaNeuropsychologyPsychiatry

Abstract

fetched live from OpenAlex

Abstract Background Cardiovascular risk factors are associated with worse cognition, yet less is known about the impact of cardiac structure and function and their adverse effects on the brain possibly from decreased perfusion. The few studies included older patients with cardiovascular disease and relied on single echocardiographic assessment. Method We included 2256 subjects from the CARDIA (Coronary Artery Risk Development in Young Adults) study (60% women, 44% black). Echocardiograms were repeated at Years 5, 25, 30 (mean age 30, 50, 55 years, respectively) to assess cardiac structure: left ventricular mass (LVMi), left atrial volume (LAVi) and systolic function: left ventricular ejection fraction (LVEF). Diastolic function was assessed at Year 25 as the ratio of early peak mitral velocity (E)/early peak mitral annular velocity (e’). Five cognitive domains were assessed at Year 30: verbal memory [Rey Auditory Verbal Learning Test (RAVLT)], category and letter fluency, processing speed [Digit Symbol Substitution Test (DSST)], executive function [Stroop] and global cognition [Montreal Cognitive Assessment MoCA]. We investigated the association of (1) 25‐year change and (2) Year 25 cardiac structure and function on midlife cognition using linear regressions. Result Over 25 years, LVMi and LAVi increased with mean change (SD) of 5.7 g/m² (21.7) and 9.6 mL/m² (7.4) while LVEF decreased by mean (SD) change of 1.5% (9.0). After adjustment for demographics and education, abnormal cardiac structure assessed by greater 25‐year increase (≥ 1‐SD) in LVMi was associated with lower cognition on most tests: RAVLT (6.2 vs. 6.8, p<0.001), DSST (59.7 vs. 61.7, p=0.02), Stroop (29.0 vs. 27.2, p=0.01) and MoCA (19.1 vs 19.7, p=0.001). Similarly, greater 25‐year increase in LAVi was associated with lower MoCA (19.8 vs. 20.3, p=0.04). Further adjustment for hypertension, diabetes and smoking reported similar findings. 25‐year decrease in LVEF was not associated with cognition. In addition, higher Year 25 LVMi, LAVi and E/e’ ratio were significantly associated with worse cognition on most cognitive tests. Conclusion Midlife cardiac structure and its change from early to middle adulthood are associated with lower midlife cognition. Moreover, midlife diastolic but not systolic function is linked to cognition. Our results provide novel information linking cardiac structure and function to cognition.

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)0.002
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 score0.009
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
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 head0.037
GPT teacher head0.260
Teacher spread0.223 · 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
Published2020
Admission routes1
Has abstractyes

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