Multiple pituitary hormone deficiencies in a kitten: Hyposomatotropism, hypothyroidism, central diabetes insipidus and hypogonadism.
Bibliographic record
Abstract
In humans, post-traumatic hypopituitarism (PTHP) is a common complication of traumatic brain injury, with the most frequently reported hormonal deficiencies resulting in hyposomatotropism and hypogonadism, followed by hypothyroidism, hypocortisolism, and central diabetes insipidus. To date, PTHP has rarely been reported in cats, and the reported cases often describe a single hormone deficiency. This report details an approximately 7-month-old cat with a history of suspected traumatic brain injury at 5 wk of age, that presented with growth retardation (1.53 kg) and polyuria-polydipsia. Thyroid panel, thyrotropin-releasing hormone stimulation test, thyroid scan with Technetium-99, repeat measurement of serum IGF-1, resting cortisol, endogenous ACTH concentration, and ACTH stimulation testing were performed. The cat was diagnosed with presumptive PTHP leading to hyposomatotropism, hypothyroidism, central diabetes insipidus, and hypogonadism. In this case, treatment of the hypothyroidism and central diabetes insipidus were successful. Hyposomatotropism and hypogonadism were not treated. Although reported feline PTHP cases have described a single hormone deficiency, this report details a cat with presumptive PTHP leading to hyposomatotropism, hypothyroidism, central diabetes insipidus, and hypogonadism. Attention should be paid to the potential for the development of PTHP in cats secondary to traumatic brain injury. Key clinical message: Post-traumatic hypopituitarism in cats can lead to multiple hormone deficiencies, leading to hyposomatotropism, hypothyroidism, central diabetes insipidus, and hypogonadism.
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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 | 0.000 |
| 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) | 0.002 | 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".