Unanticipated hyperkalaemia and associated perioperative complications in three captive grey wolves ( <i>Canis lupus</i> ) undergoing general anaesthesia
Bibliographic record
Abstract
Abstract Intraoperative hyperkalaemia has been described in dogs, cats, non‐domestic felids and in a calf. This case series reports the occurrence and associated complications in three captive‐held grey wolves anaesthetised for root canal treatment. Severe bradyarrhythmia associated with hypotension was detected in two cases before hyperkalaemia was confirmed. These also presented with signs compatible with malignant hyperthermia and rhabdomyolysis. In the third wolf, regular arterial blood gas analysis revealed a progressive increase in plasma potassium exceeding reference values 240 min after premedication. Hyperkalaemia was treated symptomatically with standard protocols, and the recovery was uneventful in all three wolves. The cause of hyperkalaemia in the described cases remains unknown and is most likely multifactorial. Prolonged recumbency, long anaesthetic duration and the administration of α 2 ‐adrenoceptor agonists are potential influencing factors. Additionally, malignant hyperthermia, rhabdomyolysis, acidaemia and drug effects are discussed for their potential of causing the described intraoperative hyperkalaemia.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| 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".