Early defibrillation: A key for successful outcome of out-of-hospital cardiac arrest treatment
Bibliographic record
Abstract
Objective. Defibrillation is a part of cardiopulmonary resuscitation that involves delivering electricity through electrodes placed on the chest. Defibrillators generate and then discharge electrical current through two electrodes. The resulting shock simultaneously depolarizes large portions of the atrium or ventricles, interrupting return circuits and recurrent/malignant arrhythmias. Early defibrillation has long been accepted as the standard because ventricular fibrillation (VF) is the most common form of cardiac arrest in outpatient victims and survival is inversely proportional to the time of defibrillation from cardiac arrest. Methods. The case of a 63 years old man with acute myocardial infarction is presented. Outpatient protocol data, medical history, and discharge lists from the Cardiology Clinic were analyzed. Results. A 63 years old male patient comes to the Emergency Room for back pain and dyspnea. On admission he was with stable vital parameters (pressure was 140/90 mmHg, pulse 75 / min., pulse oximetry SaO2 95%) The patient is aware, oriented, dyspnoic, complains of lower back pain and dyspnea. Auscultatory findings on the lungs indicate increased respiratory noise. An ECG was performed in which the sinus rhythm was recorded, with frequencies of 75 / minute with ST depression in D2, D3, AVF, ST segment elevation in AVL, V1-V4. An IV line and vital parameters monitoring were established. ASA 300 mg po was given, and patient then prepared for transport. However just prior transferring patient was bruised in the face, loses consciousness, with convulsions and true opistotonus, and then cardiac arrest occured. CPCR begins. A shock wave VF (ventricular fibrillation) is registered on the defibrillator monitor and decision was made to deliver a DC shock of 360J. The rhythm of cardiac arrest is VF. After one delivered DC shock, the patient begins to breathe, vital parameters normalize, the patient becomes communicative but confused. Sinus rhythm registers on the electrocardiogram again, elevations persist. Patient than was prepared for PCI with medicaments, and with stable vital parameters and monitoring transported to the Emergency Center. After admission, the patient was transferred to a catheterization room where he received a stent on the LAD. Conclusion. Early CPR and defibrillation in first few minutes has the biggest impact in patient recovery/survival in terms of cardiac arrest due to malignant arrhythmias.
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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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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".