Age and Outcomes in ST-Segment Elevation Myocardial Infarction Treated With Primary Percutaneous Coronary Intervention
Bibliographic record
Abstract
BACKGROUND: To understand the influence of age on treatment and outcomes, we analyzed the largest group of patients 75 years or older with ST-segment elevation myocardial infarction treated with primary percutaneous coronary intervention (PPCI) in a clinical trial. METHODS: We analyzed data from 5745 patients in the Assessment of Pexelizumab in Acute Myocardial Infarction trial from July 13, 2004, through May 11, 2006. Age was analyzed continuously and according to 3 groups: younger than 65 years (n = 3410), 65 to 74 years old (n = 1358), and 75 years or older (n = 977). The main outcome measures were 90-day mortality and the composite of congestive heart failure, shock, or death at 90 days. RESULTS: Older patients had higher rates of hypertension, chronic obstructive lung disease, previous angina, and prior revascularization. Also notable in these patients were higher Killip class, less angiographic success after PPCI, and less ST-segment resolution with higher rates of in-hospital clinical events, including mechanical, electrical, and bleeding complications. There was less use of short-term adjunctive medications but similar use of discharge medications in older compared with younger patients. Ninety-day mortality rates were 2.3%, 4.8%, and 13.1%; composite outcome rates were 5.9%, 11.9%, and 22.8% for patients younger than 65 years, 65 to 74 years old, and 75 years or older, respectively. After multivariable adjustment, age was the strongest independent predictor of 90-day mortality (hazard ratio, 2.07 per 10-year increase; 95% confidence interval, 1.84-2.33). CONCLUSIONS: Older patients have lower rates of acute procedural success and more postinfarction complications. Age is the strongest predictor of 90-day mortality in ST-segment elevation myocardial infarction patients undergoing PPCI. Despite implementing PPCI for ST-segment elevation myocardial infarction in older patients, early risk remains high, necessitating continued focus on improving outcomes in this vulnerable population.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 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".