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PS-BPC05-4: DIASTOLIC FUNCTION AND STROKE VOLUME MEASURED BY ECHOCARDIOGRAPHY IS RELATED TO PROGRESSION OF FRAILTY IN ELDERLY HYPERTENSIVE OUTPATIENTS

2023· article· en· W4315702863 on OpenAlexaboutno aff
Ayumi Toba, Joji Ishikawa, Kazumasa Harada

Bibliographic record

VenueJournal of Hypertension · 2023
Typearticle
Languageen
FieldMedicine
TopicFrailty in Older Adults
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineCardiologyInternal medicineMontreal Cognitive AssessmentDiastoleStroke (engine)Heart failureDiabetes mellitusStroke volumeCognitive impairmentBlood pressureEjection fractionEndocrinology

Abstract

fetched live from OpenAlex

Objective: In hypertensive patients, echocardiographic measures of cardiac structure and function were related to cognitive dysfunction and frailty in cross sectional studies; however, longitudinal relationship of these parameters has not been elucidated. We investigated whether stroke volume and diastolic function in echocardiography was predictive of worsening of cognitive function and frailty for 3 years. Design and Methods: Among 330 hypertensive patients who were registered in the frailty clinic and underwent echocardiography, 93 patients were followed up for 3 years. We evaluated stroke volume and diastolic function in echocardiography, frailty status evaluated as Kihon checklist (KCL), and cognitive function measured as mini mental state examination (MMSE) and Montreal cognitive assessment (MoCA). Results: Patients’ mean age was 78.8 ± 7.1 years old (58% male). KCL score remained or decreased in 50 (54 %) patients after 3 years of follow up (7.1 ± 4.7 points to 5.7 ± 4.7), and increased in 43 (46 %) patients (6.1 ± 4.1 to 8.9 ± 4.4). Between those whose KCL score increased and remained or decreased, there were no statistical difference in history of hypertension, heart failure, diabetes mellitus, stroke and type of antihypertensives; however, MMSE and MoCA score at follow up was higher in patients whose KCL score remained or decreased (MMSE: 27.8 ± 2.5 vs 26.7 ± 3.3, p = 0.24, MoCA: 22.2 ± 4.0 vs 20.7 ± 5.2, p¬ = 0.036). Ratio between early mitral inflow velocity and mitral annular early diastolic velocity (E/e’) at baseline was lower in patients whose KCL score remained or decreased (E/e’ septal 11.8 ± 3.0 vs 14.4 ± 5.5 p = 0.01). Other value for diastolic function was not related to the change of KCL score. Logistic regression analysis revealed E/e’ septal was independently associated with an increased KCL score even after adjusting for age, sex, BMI, history of hypertension, diabetes mellitus, heart failure, and KCL score at baseline (p = 0.036, odds ratio = 0.89). On the other hand, E/e’ was not significantly different in the parallel analysis according to domains of physical function, nutritional state, cognitive function, and depressive mood in KCL. Systolic volume in echocardiography at baseline was related to change in physical function in KCL at follow up (r = -0.226, p = 0.028). Conclusions: E/e’ in echocardiography at baseline was predictive of worsening of frailty status, measured as KCL score, at 3 years later.

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)0.000
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 score0.004
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.029
GPT teacher head0.270
Teacher spread0.242 · 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".

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Citations0
Published2023
Admission routes1
Has abstractyes

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