Key recommendations and evidence from the NICE guideline for the acute management of ST-segment-elevation myocardial infarction
Bibliographic record
Abstract
The acute management of ST-segment-elevation myocardial infarction (STEMI) has seen significant changes in the past decade. Although the incidence has been declining in the UK, STEMI still gives rise to around 600 hospitalised episodes per million people each year, with many additional cases resulting in death before hospital admission. In-hospital mortality following acute coronary syndromes has fallen over the past 30 years from around 20% to nearer 5%, and this improved outcome has been attributed to various factors, including timely access to an expanding range of effective interventional and pharmacological treatments. A formal review of the acute management of STEMI is therefore appropriate. The recently published NICE clinical guideline (CG167: The acute management of myocardial infarction with ST-segment elevation) provides evidence-based guidance on the acute management of STEMI, including the choice of reperfusion strategies, procedural aspects of the recommended interventions, the use of additional drugs before and longside reperfusion therapies, and the treatment of patients who are unconscious or in cardiogenic shock. The guideline development methods and detailed reviews of the evidence considered by the Guideline Development Group (GDG) can be found in the full version of the guideline (http://www.nice.org.uk/CG167), and the priority recommendations are summarised in box 1. Other related NICE clinical guidelines deal with the diagnosis of recent-onset chest pain of suspected cardiac origin http://www.nice.org.uk/CG95), the early management of unstable angina and non-STEMI (http://www.nice.org.uk/CG94), and secondary prevention after myocardial infarction (http://www.nice.org.uk/CG48, currently being updated with publication expected end of 2013).
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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".