Lidocaine and remifentanil for ventricular tachycardia suppression in a dog: A case report
Bibliographic record
Abstract
Background: Ventricular tachycardia is an arrhythmia that, if not corrected, can lead to reduced ischemic stroke volume and cardiac output, resulting in low tissue perfusion. Aim: To describe a case of ventricular tachycardia suppression using lidocaine and remifentanil in a dog during the transanesthetic period. Case Description: An 11-year-old Labrador Retriever dog with intraoral neoplasia was referred for hemimandibulectomy. Preanesthetic evaluation and complementary diagnostic tests revealed the presence of splenic neoplasia along with paroxysmal ventricular tachycardia. The preanesthetic medication was methadone, and the patient was induced into general anesthesia using propofol. During the transanesthetic period, anesthesia was maintained with sevoflurane and continuous infusion of lidocaine and remifentanil. Throughout the procedure, the patient remained in sinus tachycardia without any arrhythmic events. Conclusion: The arrhythmias on electrocardiogram during the transanesthetic period highlight the effective control of paroxysmal ventricular tachycardia through the use of lidocaine and remifentanil infusion.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.006 | 0.003 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".