Management of Acute Coronary Syndrome in the Hospital: A Focus on ACCF/AHA Guideline Updates to Oral Antiplatelet Therapy
Bibliographic record
Abstract
The 3 main clinical manifestations of acute coronary syndrome (ACS) are unstable angina, non-ST-segment myocardial infarction, and ST-segment myocardial infarction. Together they comprise a major cause of emergency care and hospitalization in the United States. Consequently, all hospital-based physicians should be familiar with current recommendations regarding the diagnosis and management of ACS. Effective inhibition of platelet activation and aggregation is central to the treatment of ACS, and dual antiplatelet therapy with aspirin and a P2Y12 inhibitor is recommended in all patients with ACS. Recently, the American Heart Association and American College of Cardiology Foundation published focused updates to their guidelines for the management of ACS patients. These updates included changes in antiplatelet therapy arising from the introduction of prasugrel and ticagrelor as alternatives to clopidogrel for the P2Y12 inhibitor component of dual antiplatelet therapy. Among the P2Y12 inhibitors recommended for each indication, the guidelines do not advocate any one P2Y12 inhibitor over another, but instead recommend that therapy is individualized based on each patient's demographic and clinical characteristics. This article presents a clinical case study to illustrate the hospital management of ST-segment myocardial infarction and unstable angina/non-ST-segment myocardial infarction with particular reference to the latest changes in antiplatelet therapy guidelines. This article outlines key differences in the indications and recommendations for P2Y12 inhibitors and summarizes clinical data from the pivotal studies of prasugrel and ticagrelor.
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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 | 0.007 | 0.014 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.004 | 0.008 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".