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Record W4390193481 · doi:10.1002/alz.077929

Cardio‐autonomic control and cognitive decline in older adults

2023· article· en· W4390193481 on OpenAlexaff
Chenlu Gao, Andrew Lim, Lei Yu, David A. Bennett, Lei Gao, Kun Hu, Peng Li

Bibliographic record

VenueAlzheimer s & Dementia · 2023
Typearticle
Languageen
FieldMedicine
TopicBlood Pressure and Hypertension Studies
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsDementiaCognitionPulse oximetryCircadian rhythmMedicinePhotoplethysmogramInternal medicineHeart rate variabilityCardiologyAudiologyPhysical therapyHeart ratePsychologyGerontologyBlood pressureAnesthesiaDiseasePsychiatryComputer science

Abstract

fetched live from OpenAlex

Abstract Background Cardiovascular diseases may be linked to dementia pathogenesis. The cardio‐autonomic control (CAC) plays an important role in the development of cardiovascular diseases and may be implicated by dementia pathophysiology. We tested whether the CAC proxied by the complexity of beat‐to‐beat pulse rate intervals (PRI) predicted longitudinal cognitive decline in older adults. Method Continuous overnight pulse oximetry (photoplethysmography) data from 594 participants (mean age = 82.76±7.11 at oximetry assessment; 76% female) in the Rush Memory and Aging projects were studied. All participants completed cognitive assessments at oximetry baseline. Eighty‐four participants who had at least one follow‐up cognitive assessment were included in the analyses. After quality control, the feet of pulse waves in the photoplethysmography data were detected, and the consecutive foot‐to‐foot internals (i.e., PRI) time‐series within each 10‐min window were analyzed using the distribution entropy that evaluated the complexity of PRI (i.e., greater distribution entropy means more complex dynamics). To reduce behavioral and circadian effects, we used the mean distribution entropy values during 12AM‐3AM for each individual. Mixed‐effects models were constructed to associate distribution entropy to longitudinal cognitive changes, adjusting for age, sex, and education. Result At baseline, distribution entropy was normally distributed (mean = 0.33±0.14). On average, the global cognition score was 0.12 units (SD = 0.60). This score declined at an annual rate of 0.15 units (SE = 0.04; p = 0.0001). The distribution entropy was not associated with global cognition at baseline, but greater distribution entropy predicted slower cognitive decline. Specifically, a 1‐SD increase in distribution entropy correlated with a drop of 0.11 (SE = 0.04; p = 0.005) in the rate of cognitive decline. Conclusion The nighttime CAC (potentially during sleep) is linked with longitudinal cognitive profiles in older adults. As the CAC is regulated by an internal body clock—the circadian system, in which a dysfunction is involved in Alzheimer’s pathogenesis, it is possible that the CAC underlies the connections of cardiovascular disorders and circadian dysfunction with Alzheimer’s disease and its clinical outcomes. Future studies are warranted to test these hypotheses. Further studies should also investigate whether CAC at different times of the night has different correlations with cognitive changes and whether CAC predicts Alzheimer’s disease.

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 score0.003
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
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 integrity0.0000.000
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 head0.022
GPT teacher head0.276
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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