Primary hyperaldosteronism in a domestic ferret with an adrenocortical adenoma
Bibliographic record
Abstract
CASE DESCRIPTION: A 6-year-old spayed female domestic ferret was evaluated because of lethargy, alopecia, pruritus, and an abdominal mass. CLINICAL FINDINGS: On initial examination, nonregenerative anemia, mild azotemia, and a large left adrenal gland mass were identified. However, deterioration of the ferret's general condition prevented excision of the mass, and dyspnea, weakness, hypertension, and severe hypokalemia developed. Plasma aldosterone concentration was >3329 pmol/L, confirming a provisional diagnosis of hyperaldosteronism. High concentrations of sex hormones were also observed, but baseline cortisol concentration was within reference limits. TREATMENT AND OUTCOME: Medical treatment included oral administration of spironolactone, potassium gluconate, leuprolide acetate, amlodipine, and benazepril. Inhalation of albuterol proved effective in reducing the dyspnea. In the following weeks, serum potassium concentration returned to within reference limits and hypertension decreased, but dyspnea persisted. Two months after initial examination, the ferret became anorectic and was euthanized. Histologic examination revealed a large left adrenal gland adenoma, progressive chronic nephropathy, severe pulmonary edema, and focal fibrosis in the left ventricle. Immunohistochemical staining of the adrenal gland mass revealed aldosterone within neoplastic adrenocortical cells. CLINICAL RELEVANCE: Findings suggested that primary hyperaldosteronism should be considered as a possible cause in ferrets with hypokalemia, hypertension, and an adrenal gland mass. Early detection of aldosterone-secreting masses might allow for removal of the tumor before irreversible complications occur.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.004 | 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".