Prevalence of feline cardiomyopathy phenotypes and arterial thromboembolism
Bibliographic record
Abstract
The aim: To investigate the prevalence of cardiomyopathy (CMP) phenotypes and the weight of cardiogenic arterial thromboembolism (ATE) as a complication in cats. To determine the influence of age, breed and sex on the frequency of detection of CMP and ATE. Animals: One hundred and seventeen cats with various phenotypes of cardiomyopathies. Materials and methods: the database of the veterinary center was analyzed. From 1066 studied cats, 117 stories of animal diseases were selected, in which the diagnosis of cardiomyopathy was established. Results: In the experimental group, the prevalence of CMP was 11 % (HCMP - 94 %; DCMP - 3.4 %; RCMP - 2.6 %). Males were affected more often and had a more severe course. As the age of the animals increased, the relative frequency of heart failure increased slightly, but CMP was diagnosed more often in young animals. The Scottish Straight, Scottish Fold, European Shorthaired, European Longhaired, British Longhaired, and Canadian Sphynx can be considered susceptible breeds in Vinnytsia. There have been no cases of cardiomyopathy in Maine Coons. 57 % of cats with HCMP phenotype were asymptomatic. Arterial thromboembolism occurred in 14.5 % of animals with various CMP phenotypes. The lethality of ATE before discharge was 17.6 %, euthanized (different time period after the incident) 29 %. Conclusion: HCMP phenotype is the most common. Probably, genetic factors related to sex and breed have a significant influence on the development of cardiomyopathy. More often, CMP phenotypes were diagnosed in younger animals. Heart failure develops more often in older animals. The number of animals with ATE and HCMP phenotype is high, but relative to the number of animals with heart failure, cats with DCMP were more prone. ATE occurred more often in females. Thromboembolism is more common in the European Longhair breed.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".