Multicenter retrospective evaluation of norepinephrine extravasation in dogs and cats (2015–2021): 14 cases
Bibliographic record
Abstract
OBJECTIVE: To document clinical complications and intervention options associated with norepinephrine (NE) extravasation in dogs and cats. DESIGN: Cases were identified between 2015 and 2021. Because this is an uncommon complication, the findings are compiled as a descriptive retrospective study. SETTING: Cases were provided from 4 universities and 2 private practice groups in the United States, Canada, and Australia. ANIMALS: Fourteen patients (13 dogs, 1 cat) that experienced extravasation events (16 total). INTERVENTIONS: Small animal patients were included where extravasation of a NE constant rate infusion (CRI) was documented. Records were reviewed for information, including suspected underlying condition, description of the interventions pursued after identification of extravasation, clinical signs after extravasation, and survival to discharge or reason for patient death or euthanasia. When available, information was collected pertaining to the NE dose, dilution, total duration of CRI, and duration of CRI before extravasation was recognized. MEASUREMENTS AND MAIN RESULTS: The most commonly reported clinical signs after extravasation of NE were skin necrosis (n = 9 [64.3%]) and swelling (n = 6 [42.9%]). In 10 of 16 events (62.5%), discontinuation of the NE CRI and/or application of a warm compress to the extravasation site were performed; these were the most common nonpharmacological rescue measures. Two patients received subcutaneous phentolamine, and 1 patient underwent hyperbaric oxygen therapy. While surgical intervention was recommended for 4 dogs, 2 improved without surgical debridement. The overall survival rate from underlying disease processes was 57% (n = 8), with only 1 patient (7%) euthanized due to an injury from the extravasation. CONCLUSIONS: Severe lesions can result from NE extravasation in dogs and cats, leading to euthanasia. Although phentolamine remains the treatment of choice, lesions may heal with alternative supportive measures.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 teacher head, 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".