Diagnóstico de dermatopatia piogranulomatosa por Nocardia spp. numa cadela Labrador Retriever com hipotireoidismo, Rio de Janeiro, Brasil - Relato de caso
Bibliographic record
Abstract
ABSTRACT. Leal P.D.S., Paes de Almeida E.C. & Lopes C.W.G. [Skin disease diagnosis Pyogranulomatous Nocardia spp. in a Labrador Retriever bitch with hypothyroidism, Rio de Janeiro, Brazil - Case report.] Diagnóstico de dermatopatia piogranulomatosa por Nocardia spp. numa cadela Labrador Retriever com hipotireoidismo, Rio de Janeiro, Brasil - Relato de caso. Revista Brasileira de Medicina Veterinária, 38(2):203-209, 2016. Programa de Pós-Graduação de Ciências Veterinárias, Anexo 1, Instituto de Veterinária, Universidade Federal Rural do Rio de Janeiro, Campus Seropédica, BR 465 Km 7, Seropédica, RJ 23890-000, Brasil. E-mail: pauloleal@ctiveterinario.com.br A case of nocardiosis was reported in cutaneous and subcutaneous abscesses in a Labrador Retriever bitch with hypothyroidism, 11 years old, castrated, weighing 22 kg, served in the Intensive Care Unit and Emergency Veterinary, lesions appeared 30 days after wounds by biting dogs in the chest and abdomen, with fistula formation in the healing of lacerations in the region caused by bites. Biopsy and bacterial culture with sensitivity were requested. The bacterial culture revealed the presence of microorganism associated with the histopathological findings of lesions characterized by pyogranulomatous reaction when stained by PAS identified extruturas like round colonies of the genus Nocardia. The antibiogram of the isolated microorganisms indicated that was sensitive to antibiotics, enrofloxacin, gentamicin, ciprofloxacin and imipenem. Treatment was established with enrofloxacin 5 mg/kg body weight every 12 hours for a period of 22 days, with improvement; but there is no cure, so opted for the surgical debridement and removal of fistulae and increased the dose of enrofloxacin to 10 mg/kg, with improvement dependent antibiotic therapy, when it opted for pulse therapy control of pyogranulomas.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 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".