Intravenous antazoline, a first‐generation antihistaminic drug with antiarrhythmic properties, is a suitable agent for pharmacological cardioversion of atrial fibrillation induced during pulmonary vein isolation due to the lack of influence on atrio‐venous conduction and high clinical effectiveness (AntaEP Study)
Bibliographic record
Abstract
AIMS: Antazoline is a first-generation antihistaminic drug used primarily in eye drop formulations. When administered intravenously, antazoline displays antiarrhythmic properties resulting in a rapid conversion of recent-onset atrial fibrillation (AF) to sinus rhythm (SR). The aim of the study was to assess the influence of antazoline on atrio-venous conduction and other electrophysiological parameters in patients undergoing AF ablation. METHODS: An experimental prospective study. Patients scheduled for the first-time AF ablation, in SR and not on amiodarone were enrolled. Atrio-venous conduction assessment and invasive electrophysiological study (EPS) were performed before and after intravenous administration of 250 mg of antazoline. In case of AF induction during EPS, antazoline was administered until conversion to SR or a cumulative dose of 300 mg. RESULTS: -VASc score 1.6 (1.0-2.2). Antazoline was administered in a mean dose 257.1 (246.7-267.6) mg. Pulmonary vein potentials and atrial capture during pulmonary vein stimulation were present before and after the administration of antazoline. Wenckebach point and atrial conduction times did not change significantly, but atrio-ventricular node effective refractory period improved-324.7 (275.9-373.5) ms vs 284.3 (256.2-312.4) ms, P = 0.02. Antazoline was effective in all 5 (100%) cases of AF induction during EPS. There were no serious adverse events. CONCLUSION: Due to the lack of influence on atrio-venous conduction and high clinical effectiveness, antazoline may be suitable for pharmacological cardioversion of AF occurring during AF ablation.
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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 | 0.000 |
| 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) | 0.002 | 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".