Central Vestibular Disease in a Pug Breed Dog Secondary to Ehrlichia canis Infection
Bibliographic record
Abstract
Canine ehrlichiosis, caused predominantly by Ehrlichia canis and transmitted by Rhipicephalus sanguineus, is a globally distributed tick-borne disease with diverse clinical manifestations ranging from acute to chronic systemic illness. While hematological abnormalities such as anemia, thrombocytopenia, and leukopenia are well-recognized hallmarks, neurological involvement is less common but increasingly reported. This case report describes a 9-year-old male pug presented with central vestibular signs including head tilt, circling, ataxia, nystagmus, and vomiting. Clinical evaluation revealed pyrexia, dullness, and tick infestation. Preliminary otoscopic examination was done to rule out any ear infection. Hematological analysis showed anemia, leukopenia, and marked thrombocytopenia, while biochemical parameters remained within normal limits. Peripheral blood smear was negative for hemoparasites. A presumptive diagnosis of CME was confirmed by quantitative PCR, which detected Ehrlichia canis DNA. Treatment comprised doxycycline (5 mg/kg BID for 4 weeks), prednisolone (1 mg/kg BID tapered over 3 weeks), and meclizine (1 mg/kg SID) along with supportive therapy. Hematological parameters normalized post-treatment, and vestibular signs resolved completely. The case highlights the neurotropic potential of E. canis, which likely induces central vestibular signs via immune-mediated inflammation and vascular injury.
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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 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| 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".