Study the Electrocardiographic and Echocardiographic Parameters in Healthy Persian Cats in Iran
Bibliographic record
Abstract
Electrocardiography and Echocardiography are diagnostic tools in diagnosis of cardiovascular diseases. In this study electrocardiography and echocardiography indices are evaluated in Persian cats, and presence of any possible relation between these indices and age and gender are assessed. This survey was conducted on 120 paersian cats in Tehran city, 60 cats of male and 60 female (in each gender 30 cats under 8 months of age and30cats more than 8 months of age). At first the animals evaluated clinically and then echocardiography and electrocardiography were done. Echocardiography was done from standard views of right and left parasternal regions. For electrocardiography the case was placed on its right side on a dielectric surface and after application of jell attachment of electrocardiography forceps were done and recording of standard 6 lids ECG was done. In echocardiographic indices: cardiac output (p<0.001)and stroke volume (p<0.001), left ventricular volume(p<0.001), left atrial diameter (p=0.006), pulmonary artery diameter (p=0.028), and ejection fraction(p<0.001) had significant positive relationship with aging. increasing of age caused an enhacement of these factores. Interventricular septum(p<0.001) had significant positive relationship with aging and females. increasing of age caused an enhacement of this factor and this index in females was more than males. And in electrocardiography indices, R wave height(p<0.001) had significant positive relationship with aging. increasing of age caused an enhacement of this factor. Based on the resuts of this study it was cleared that some indices in echocardiography and electrocardiography could have relationship with age and/or gender in healthy Persian cats. So interpretation of the results of these two diagnostic tools should be done in light of age and/or gender.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".