Short and Long Term Mortality Predictors in Octogenarians with Acute Coronary Syndromes
Bibliographic record
Abstract
PURPOSE: Octogenarians with acute coronary syndromes have higher mortality and morbidity due to higher prevalence of comorbidities and frailty. The aim of this study was to explore the predictors of short and long term mortality in octogenarians with ACS. METHODS: Ninety-eight consecutive octogenarians presenting with acute coronary syndrome (mean age:84±3 years, 56 male) were included. All patients underwent coronary angiography and were given optimal medical treatment. The primary end point was cardiovascular mortality in hospital and at one year. RESULTS: Fifteen patients died during hospitalization and 20 patients died after discharge within the first year. ST-segment-elevation myocardial infarction and hypotension were significantly more prevalent in the in-hospital mortality group while atrial fibrillation and hyponatremia were more prevalent in the long-term mortality group. All deceased patients had significantly lower left ventricular ejection fraction and glomerular filtration rate. Cox analysis revealed ST-segment-elevation myocardial infarction, hypotension and left ventricular ejection fraction as independent predictors of in-hospital mortality while hyponatremia, atrial fibrillation and renal dysfunction as independent predictors of long term mortality. CONCLUSION: It would be reasonable to pay further attention to octogenarians with acute coronary syndrome if they are presenting with ST-segment-elevation myocardial infarction, and have hypotension, impaired left ventricular function, hyponatremia, atrial fibrillation or renal dysfunction, which are associated with increased mortality.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| 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) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".