Evaluation of plasma N-terminal pro-B-type natriuretic peptide concentrations in dogs with and without cardiac disease
Bibliographic record
Abstract
OBJECTIVE: To evaluate plasma N-terminal pro-B-type natriuretic peptide (NT-proBNP) concentrations in a large, diverse population of dogs with and without cardiac disease and to define the upper reference limit for the biomarker in this species. DESIGN: Cross-sectional single center study. ANIMALS: 1,134 dogs. PROCEDURES: Dogs underwent blood sample collection, physical examination, ECG, and echocardiographic and thoracic radiographic evaluations. Cardiac status was graded by use of a 9-grade cardiac disease classification system and a simplified 4-stage cardiac scoring system. Vertebral heart score (VHS) was assessed in 280 dogs. Associations of plasma NT-proBNP concentrations with multiple variables were evaluated via univariate and multivariate linear regression analysis. Sensitivity and specificity of NT-proBNP concentrations and of VHS to discriminate between dogs with and without clinical signs of cardiac disease were evaluated via receiver-operating characteristic curve analysis. RESULTS: 974 dogs had cardiac disease, 37 had noncardiac-related disease, and 123 were healthy. Plasma NT-proBNP concentrations correlated with cardiac grade and stage; VHS was also associated with cardiac grade. At a cutoff of 874 pmol/L, sensitivity and specificity of NT-proBNP concentration to detect clinical signs of cardiac disease were 70% and 83%, respectively; for VHS, sensitivity and specificity were 56% and 85%, respectively, at a cutoff of 11.5. Mean NT-proBNP concentration was significantly increased in dogs with cardiac-related dyspnea or coughing, compared with dogs in which these signs were noncardiac related. CONCLUSIONS AND CLINICAL RELEVANCE: Results suggested that 900 pmol/L is the upper reference limit of plasma NT-proBNP concentration in dogs. This biomarker may be a useful tool for staging of cardiac disease and identifying cardiac-related coughing or dyspnea in this species.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.000 | 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".