Treatment and management of Salmonella prostatitis in a heartworm‐positive intact male dog: a case report
Bibliographic record
Abstract
BACKGROUND: Salmonella spp. represent a significant zoonotic concern to pregnant owners as infection can cause septic abortions and post-partum illness. Enteric salmonellosis is well documented in canines however urinary salmonellosis is rarely described and Salmonella prostatitis has never been described in dogs. CASE PRESENTATION: This case report describes the diagnosis and management of a five-year-old, intact male Labrador Retriever mix dog that was diagnosed with Salmonella prostatitis among other comorbidities including heartworm infestation. Additionally, mitigation of zoonotic spread is emphasized as one of the owners was six months pregnant at the time of diagnosis. DISCUSSION: The pathogenesis of Salmonella prostatitis is unknown but explanations pertaining to enteric salmonellosis, such as the lifestyle and stress of living as a stray may have contributed and contamination from an enteric infection may have also been possible. Several recommendations were made to reduce the likelihood of zoonotic transmission including frequent hand washing, avoidance of the patient's mouth, change in location of where the patient was fed, the use of an isolated area outside for urination and defecation, and the use of dilute bleach to clean areas soiled by the patient's bodily fluids. Monitoring of the prostatic infection was facilitated with prostatic wash instead of urine culture. This decision was made as prostatic infections have been shown to intermittently shed bacteria into the urine, leading to possible false negative urine cultures and potential catastrophic zoonotic infection.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.005 | 0.003 |
| Insufficient payload (model declined to judge) | 0.001 | 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".