Amiodarone for sustained stable ventricular tachycardia in the prehospital setting
Bibliographic record
Abstract
OBJECTIVE: Amiodarone is commonly used in the treatment of stable ventricular tachycardia (VT), but its efficacy has not been empirically examined in the prehospital setting. The objective of this study was to examine the safety and efficacy of amiodarone administered by paramedics to patients with stable VT. METHODS: Patient records from Victoria, Australia between 1 May 2007 and 30 June 2017 were examined retrospectively. Patients attended by Ambulance Victoria with stable sustained VT who were administered amiodarone by paramedics as the initial treatment were included. Data were used to determine the prevalence of treatment with amiodarone, the incidence of VT termination prior to transfer of care, and the incidence of progression to electrical cardioversion. RESULTS: Sixty-one patients were identified who met the inclusion criteria. The mean age was 72 years (standard deviation = 14) with 77% (n = 47) being male. Of the patients treated with amiodarone, 52% (n = 32) reverted successfully during paramedic care while 48% (n = 29) did not. Two patients required cardioversion for haemodynamic instability after amiodarone administration. One patient experienced cardiac arrest after receiving amiodarone and was successfully resuscitated by paramedics. CONCLUSIONS: Approximately half of the patients treated with amiodarone reverted from VT while under paramedic care. Patient deterioration was rare, with cardiac arrest or requirement for cardioversion occurring very infrequently. Amiodarone was relatively safe and moderately effective for the treatment of sustained stable VT. However, given recent evidence of increased efficacy of procainamide for stable VT, further studies are required in the prehospital setting to compare these two drugs.
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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 | 0.000 | 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) | 0.001 | 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 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".