Frailty as an instrument for evaluation of elderly patients with non-ST-segment elevation myocardial infarction: A follow-up after more than 5 years
Bibliographic record
Abstract
BACKGROUND: There is a growing body of evidence on the relevance of using frailty measures also in a cardiovascular context. The estimated time to death is crucial in clinical decision-making in cardiology. However, data on the importance of frailty in long-term mortality are very scarce. The aim of the study was to assess the prognostic value of frailty on mortality at long-term follow-up of more than 5 years in patients 75 years or older hospitalised for non-ST-segment elevation myocardial infarction. We hypothesised that frailty is independently associated with long-term mortality. DESIGN: This was a prospective, observational study conducted at three centres. METHODS AND RESULTS: Frailty was assessed according to the Canadian Study of Health and Aging clinical frailty scale (CFS). Of 307 patients, 149 (48.5%) were considered frail according to the study instrument (degree 5-7 on the scale). The long-term all-cause mortality of more than 5 years (median 6.7 years) was significantly higher among frail patients (128, 85.9%) than non-frail patients (85, 53.8%), ( P < 0.001). In Cox regression analysis, frailty was independently associated with mortality from the index hospital admission to the end of follow-up (hazard ratio 2.06, 95% confidence interval 1.51-2.81; P < 0.001) together with age ( P < 0.001), ejection fraction ( P = 0.012) and Charlson comorbidity index ( P = 0.018). CONCLUSIONS: In elderly non-ST-segment elevation myocardial infarction patients, frailty was independently associated with all-cause mortality at long-term follow-up of more than 6 years. The combined use of frailty and comorbidity may be the ultimate risk prediction concept in the context of cardiovascular patients with complex needs.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".