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Clinical markers of cognitive impairment in patients with chronic heart failure of ischemic origin during out-patient regular follow-up: a cross-sectional study

2024· article· en· W4393372634 on OpenAlexaboutno aff
О. А. Ефремова, Oksana V. Dudchenko, Л А Камышникова, Т Н Проскокова, О. А. Болховитина, Ekaterina V. Lysenko

Bibliographic record

VenueAlmanac of Clinical Medicine · 2024
Typearticle
Languageen
FieldNeuroscience
TopicNeurological Disorders and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineCognitive impairmentHeart failureCross-sectional studyCognitionCardiologyInternal medicinePsychiatryPathology

Abstract

fetched live from OpenAlex

Background: Cognitive impairment (CI) is present in 25–50% of chronic heart failure (CHF) patients. Doctors who monitor patients with cardiovascular disorders do not have clearly set criteria for their referral to a neurologist in case of suspected CI. Therefore, CHF patients do not receive treatment for CI on time. Aim: To identify significant clinical markers of CI in patients with CHF of ischemic origin. Materials and methods: This cross-sectional cohort study included 134 patients with CHF of ischemic origin (mean age 63.36 ± 10.63 years; men, 76.12%), who were regularly monitored in a municipal polyclinic. All patients were tested for CI with the Montreal Cognitive Assessment Scale (MoCA); basic hemodynamic parameters, lipid profile, brain natriuretic peptide (NT-proBNP) were assessed, and triglyceride-glucose index (TyG) and body mass index (BMI) were calculated. Cardio-ankle vascular index (CAVI) was measured, echocardiography and a 6-minute walk test (SMWТ) were performed and past history of CHF, arterial hypertension (AH) and diabetes mellitus (DM) was collected. Results: CI (MoCA score ≤ 25) was detected in 85 (63.43%) outpatients with CHF of ischemic origin; the group without CI (MoCA score 26) included 49 (36.67%) patients. There were significant correlations between MoCA and CAVI scores (partial correlation coefficient, r = -0.802, p 0.001; adjusted squared multiple correlation coefficient (adj. R2) = 0.881, p 0.001), MoCA and TyG (r = -0.357, p = 0.029; adj. R2 = 0.363, p 0.001), MoCA and SMWТ (r = -0.211, p = 0.037; adj. R2 = 0.696, p 0.001). The multivariate test for significance of planned comparisons between CAVI and MoCA scores (Wilks' lambda) was 0.005 (F = 4.74; p 0.001). Conclusion: CAVI, TyG and SMWТ values are the clinical markers of CI in patients with CHF of ischemic origin. There is a direct association between increased CAVI and the presence of CI, regardless of age, lipid metabolism parameters, structural and functional heart parameters, CHF duration, AH and DM. Identification of these markers could be an indication for an in-depth assessment of CHF patients by a neurologist.

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

Direct model labels (unvalidated)

Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.

Model armCategoriesStudy designConfidence
gemmano category
Domain: not available · Genre: Empirical
About the Canadian research system: no · About a Canadian topic: no
Observationallow
gptno category
Domain: not available · Genre: Empirical
About the Canadian research system: no · About a Canadian topic: no
Observationalhigh
models agreeAgreement compares identical category sets and study designs across arms.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation 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 score0.035
Threshold uncertainty score0.629

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.044
GPT teacher head0.384
Teacher spread0.340 · 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

Labeled directly by 2 models reading the full record.

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

Citations1
Published2024
Admission routes1
Has abstractyes

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