Pre hospital approach to STEMI patient and importance of first medical contact
Bibliographic record
Abstract
INTRODUCTION: Acute myocardial infarction developes after the occlusion of the coronary arteries which leads to irreversible ischemia and ultimate necrosis of the myocardial tissue. This is in contrast to unstable angina which is characterized by reversible ischemia. One of the main characteristics of acute myocardial infarction is functional and organic los of myocardial tissue. CASE REPORT: 50 years old woman called ER at 19:20 due to squeezing chest pain which radiated to the back and which is lasting for several hours. When ER staff arrived on the scene her SBP was 130/80. ECG showed ST segment elevation in II, III, aVF with reciprocal changes in I, aVL. Immediately an IV access is established, nasal canula placed (4Lof O2). She was given NTG spray 0.4 mg x 1and ASA 300 mg. The patient was transported immediately to hospital ( 0.5 km from the scene) while her heart rhythm was being constantly monitored by heart monitor. At the hospital laboratory was done and echocardiogram of the heart. The patient's troponins are elevated and she was transferred to the cath lab. The patient had sleill placed in RCA. CONCLUSION: Definition Acute STEMI, apart from atypical and typical chest pain, requires ST segment elevation in order to be diagnosed. After diagnosis STEMI this requires appropriate urgent treatment with thrombolysis within 12 hours ( the best within one hour if possible) or PCI.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.021 | 0.002 |
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".