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6 Frailty is Associated with Undiagnosed Early Cognitive Impairment in older patients (≥75 years) with non-ST Elevation Acute Coronary Syndrome Managed by Invasive Strategy

2015· article· en· W2272399427 on OpenAlexaboutno aff
Vijay Kunadian, Murugapathy Veerasamy, Hannah Sinclair, Weiliang Qiu

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldMedicine
TopicFrailty in Older Adults
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineMontreal Cognitive AssessmentAcute coronary syndromeST elevationDementiaInternal medicineCognitive impairmentPhysical therapyDiseasePediatricsCoronary heart diseaseMyocardial infarction

Abstract

fetched live from OpenAlex

Introduction Non ST elevation Acute Coronary Syndrome (NSTEACS) is more common in older patients and invasive treatment is an established management strategy in the United Kingdom. Frailty is an independent marker of adverse cardiovascular (CV) outcomes in older patients. Older patients with atherosclerotic disease are at risk of developing cognitive impairment. Frailty and cognitive impairment in older patients with NSTEACS can be a predictor of poor CV outcomes. The prevalence of undiagnosed early cognitive impairment in frail older patients with NSTEACS managed by invasive strategy is not known. Methods Cognitive status was assessed using Montreal Cognitive Assessment (MoCA) tool (maximum score 30, normal ≥26) in consecutive patients (≥ 75 years) admitted to a tertiary cardiac centre for invasive management of NSTEACS as a sub-study of an ongoing prospective study. Patients with known severe dementia were excluded from the study. Frailty status was assessed by Fried (Cardiovascular Health Study) frailty assessment tool (score 0–5) and patients categorised into frail (score ≥3) and non-frail (score 0–2) groups. Results MoCA score was available in 175 (89.3%) patients. About a third (30.8%) of these patients were frail and half of the patients (50.3%) had MoCA score <26 suggestive of cognitive impairment. The mean (standard deviation [SD]) age of patients with MoCA score <26 was higher compared to patients with MoCA score ≥26 (82.3 years (4.0) versus 80.4 years (3.9), p = 0.002). There was no difference in the proportion of females (37.9% vs. 43.1%, p = 0.469) respectively between the two groups. The baseline characteristics are displayed in the Table 1. The mean MoCA score was significantly lower in the frail group (23.7, SD 3.5) compared to the non-frail group (25.7, SD 2.4, p < 0.0001). Cognitive impairment with score <26 was more common in the frail group compared to the non-frail group (68.5% vs. 42.1% respectively, p = 0.002). Conclusion Undiagnosed early cognitive impairment is very common in 75+ year old patients presenting with NSTEACS managed by invasive strategy. Cognitive impairment is more common in frail patients compared to non-frail patients. Combination of frailty and cognitive impairment may have an adverse impact on the cardiovascular outcomes of older patients with NSTEACS managed by invasive strategy. Frailty and cognitive assessment may need to be part of risk assessment in older patients planned for invasive management.

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 score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.017
GPT teacher head0.254
Teacher spread0.237 · 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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Published2015
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