Pyelonephritis in Dogs: Retrospective Study of 47 Histologically Diagnosed Cases (2005–2015)
Bibliographic record
Abstract
BACKGROUND: The clinicopathologic aspects of pyelonephritis have not been reported in companion animals. HYPOTHESIS/OBJECTIVES: To evaluate the prevalence of pyelonephritis diagnosed in dogs in a academic referral population, describe the clinical signs and the diagnostic test results in dogs with pyelonephritis, and identify concurrent disorders in order to determine potential risk factors for pyelonephritis. ANIMALS: Forty-seven dogs with a histopathologic diagnosis of pyelonephritis from the teaching hospitals of three Canadian veterinary colleges. METHODS: Retrospective case series. Review of medical records and renal histologic sections. RESULTS: Pyelonephritis was diagnosed in 0.4-1.3% of the cases at necropsy. Clinical signs included anorexia or inappetence (n = 27, 57%), lethargy (n = 24, 51%), vomiting (n = 17, 36%), and dehydration (n = 12, 25%). Thirty-five dogs (75%) had concomitant disease(s). Escherichia coli was the most common pathogen isolated (37%). Pyelonephritis was classified as acute (n = 12, 26%), subacute (n = 9, 19%), and chronic (n = 26, 55%) disease; and mild (n = 7, 15%), moderate (n = 11, 24%), and severe (n = 28, 61%). Fever was significantly associated with histopathologically subacute pyelonephritis (P = 0.01). CONCLUSIONS: In referral hospitals, pyelonephritis has a very low prevalence at necropsy. Nonspecific clinical presentation, concomitant diseases, and high variability in the diagnostic tests results make the antemortem diagnosis of pyelonephritis challenging. Neither the histopathologic stage nor the severity of the pyelonephritis was associated with fever, lumbar pain, or signs of a urinary tract infection (ie, lower urinary tract infection, upper urinary tract infection, or both) except for subacute pyelonephritis which was associated with fever.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| 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 | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".