Therapeutic Management of Leptospirosis in a Two Dogs: A Case Report
Bibliographic record
Abstract
This report deals with the successful clinical management of Leptospirosis infection in two dogs. Two dogs one Pomeranian and one Labrador of ages two years and four years respectively was presented to the Referral Veterinary Polyclinic, IVRI Izatnagar in recumbent stage having history of acute onset of vomiting, anorexia, polydipsia, polyuria and weight loss, coughing, lethargy. There were no proper record of deworming and vaccination. Clinical examination revealed icteric conjunctival, gingival and penile mucous membrane, fever, depressed mentation, enlarged lymph node, tachycardia and tachypnea and slightly distended abdomen, Abdominal palpation and ultrasonographic examination revealed hepato-renal abnormality and Superficial lymph nodes (popliteal, and submandibular) were greatly enlarged. The hemato-biochemical report showed a marked reduction in Hb, TEC, PCV, hypoalbuminemia and elevated SGPT, SGOT, BUN, Creatinine and ALP level. Blood smear examination was negative for hemoprotozoan infection. Serum sample of the dogs was positive for Ab titre during MAT. Based on clinical signs and laboratory findings the case was diagnosed as Leptospirosis in dogs having hepato-renal complications. Following the diagnosis of the case, treatment was started with Amoxicillin-clavulanate for 15 days followed by doxycycline next 15 days along with supportive treatment. Both animals start recovering from 15th day onward. Both animals recovered uneventfully after treatment.
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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) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.005 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".