Management and complications of anaesthesia during balloon valvuloplasty for pulmonic stenosis in dogs: 39 cases (2000 to 2012)
Bibliographic record
Abstract
OBJECTIVES: The aim of this study was to report the management and complications of anaesthesia in dogs undergoing balloon valvuloplasty. METHODS: A retrospective review of medical records of dogs that were diagnosed with pulmonic stenosis and undergoing balloon valvuloplasty between 2000 and 2012. RESULTS: Thirty-nine cases were identified (28 males and 11 females). Median (range) age and bodyweight was 6 (4 to 48) months and 11·5 (2·0 to 30·3) kg, respectively. The most commonly represented breeds included mixed breed (n = 7, 17·9%) and English bulldog (n = 6, 15·3%). Anaesthesia was induced most commonly with intravenous administration of ketamine-diazepam (n = 8, 20·5%), propofol-diazepam (n = 8, 20·5%), or propofol-midazolam-lidocaine (n = 6, 15·4%), and maintained with isoflurane in combination with fentanyl or lidocaine. Anaesthetic and surgery times (mean ± sd) were 268·5 ±54 minutes and 193·2 ±50 minutes, respectively. The most common intraoperative complications were hypotension (n = 19, 48·7%), bradycardia (n = 8, 20·5%) and desaturation (n = 7, 17·9%). Cardiac arrhythmias were observed in 21 (53·8%) dogs. Death occurred in one (2·6%) dog due to severe hypotension after ballooning followed by cardiac arrest. CLINICAL SIGNIFICANCE: Successful anaesthesia can be performed in young dogs with pulmonic stenosis undergoing balloon valvuloplasty. Management of anaesthesia requires intense monitoring and immediate treatment of complications. Anaesthetic risk increases during ballooning and may result in cardiac arrest.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 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".