Auftreten von Harnsteinen – alters-, rasse- und geschlechtsspezifische Unterschiede bei Hunden aus Deutschland
Bibliographic record
Abstract
OBJECTIVES: The aim of this study was to assess the distribution and frequency of uroliths in dogs in Germany and to evaluate age-, gender-, and breed-specific differences. MATERIAL AND METHODS: A total of 2772 uroliths from dogs in Germany that had been submitted from veterinary practices during the years 2017-2019 were analyzed by infrared spectroscopy. RESULTS: Uroliths were analyzed as follows: Struvite (44.7 %), calcium oxalate monohydrate (whewellite 24.5 %), cystine (15.2 %), ammonium urate (5.3 %), calcium oxalate dihydrate (weddellite 4.4 %), calcium phosphate (1.6 %), xanthine (1.2 %), whewellite/weddellite (11 %), brushite (0.4 %) and other substances (1.7 %). The dogs' median age (in years) with regards to the urolith type amounted to: struvite 8, calcium oxalate (whewellite and weddellite) 10, cystine 5, brushite 11, xanthine 6.5, and ammonium urate 6 years. Struvite uroliths were most common in intact females (83.8 %) and neutered females (80.8 %), while cystine uroliths (36.7 %) and calcium oxalates (35.7 % whewellite and weddellite) were most common in intact males. Calcium oxalate (50 %), struvite (17.3 %), and cystine uroliths (10.5 %) were found in male neutered dogs. The most frequent breeds with struvite uroliths were Pug (75.9 %), Labrador (73.1 %), Shih Tzu (62.2 %), Dachshund (50.4 %) and Maltese (36 %). Calcium oxalates were most frequently encountered in the breeds Miniature Schnauzer (54.8 %), Jack Russell Terrier (49.5 %), and Yorkshire Terrier (48.2 %). Cystine uroliths were most frequent in the breeds French Bulldog (47.2 %), Bulldogs (44.8 %), Chihuahua (44.1 %) and Dachshund (32.8 %). CONCLUSION AND CLINICAL RELEVANCE: Dogs from Germany displayed age-, gender- and breed-specific differences in the frequency of urine calculi occurrence. Knowledge of the frequent occurrence of the distinct uroliths in Germany as well as potential breed dispositions allow the veterinarian to implement an appropriate preventive treatment plan. This would involve a targeted monitoring program for the prevention and follow-up care of the patient in conjunction with the pet owner.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.003 | 0.004 |
| Meta-epidemiology (broad) | 0.004 | 0.002 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.007 | 0.008 |
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; both teacher heads agree on what is shown here.
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".