Arrhythmic effects of Ivabradine in patients with coronary artery disease
Bibliographic record
Abstract
OBJECTIVES: Ivabradine is the first specific heart rate-lowering agent that has completed clinical development for stable angina pectoris. The aim of the present study was to investigate the effects of ivabradine therapy on P-wave duration, dispersion and QT duration, dispersion in coronary artery disease patients. METHODS AND RESULTS: The study population consisted of 21 patients with CAD who have confirmed by coronary angiography previously. Written informed consent was obtained in all patients. Twelve-lead electrocardiogram was recorded for each subject at a rate of 50mm/s on admission and repeated after 1 month ivabradine therapy. QT duration, QT dispertion, maximum and minimum QT duration calculated. Maximum and minimum P wave and P wave dispersion has been calculated. Heart rate was decreased after ivabradine therapy. (75+/-15 and 63+/-10, P=0.02).There was no difference between Pmax, Pmin and Pdis values before and after treatment. QTmax value was prolonged after treatment. (410+/-43 and 431+/-14, P=0,005) but there was no difference between cQTmax value.(455+/-38 and 439+/-21) There was no difference between QTdis and cQTdis values before and after treatment. (44+/-18 & 49+/-14; and 49+/-22 & 48+/-15). QTmax was prolonged after ivabradine therapy but cQTmax, Pdis, QTdis and cQTdis were not prolonged. CONCLUSION: There is no relationship between ivabradine therapy and increased risk of ventricular and atrial arrhythmia in coronary artery disease patient.
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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 | 0.001 |
| 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".