Validation of a Novel High‐Sensitivity Cardiac Troponin‐T Assay in Horses
Bibliographic record
Abstract
Introduction Cardiac troponin‐ I ( cTn ‐ I ) has been previously validated in horses. Newer high sensitivity troponin assays have recently become available that are now the standard in human cardiology. The objective was to validate the high‐sensitivity cardiac troponin‐T ( hscTn ‐ T ) assay for use in horses and to determine the biological variation within and between horse breeds. Methods Samples were analysed using the hscTn ‐ T assay reagent (Roche,Cobas c501). Method validation included linearity, lower limit of quantitation ( LLQ ), freeze‐thaw stability, within‐and between‐run precision, and comparison with cTn ‐ I (Abbott iSTAT, Deming regression). Normal range and biological variation included healthy horses (n = 120; age = 7.2 ± 0.5 years ( SE )) representing 5 breeds. Results Assay was linear from 3–391 ng/ L . The LLQ was validated at 3 ng/ L . Stability of samples was unaffected by 3 freeze‐thaw cycles. Within‐run mean (± SD ) was L 1 = 6.50 (±0.97), L 2 = 10.1 (±0.88), L 3 = 15.3 (±0.82) ng/ L and between‐run mean (± SD ) was L 1 = 12.2 (±1.03), L 2 = 57.0 (±4.82), L 3 = 256 (±23.1) ng/ L . Comparison with cTn ‐ I assay showed excellent correlation (range: 8–3535 ng/ L , r = 0.9998). Bias was evident in the regression results [ hscTnT = (0.6153 ± 0.002809)*( cTnI *1000) − (11.53 ± 5.462)]. The 95 th and 99 th percentile of the normal distribution in healthy horses was 4 and 6 ng/ L . Between breed, diurnal effect and between day variation was not detectable due to low concentrations of hscTnT . Conclusions This study established reference intervals for hscTn ‐ T assay in healthy horses and the performance characteristics of hsTn ‐ T assay in horse samples. Normal population distribution was mostly below the detection limit of the assay. The hscTn ‐ T assay will likely establish the standard in early detection of cardiac pathologies in horses. Ethical Animal Research This study was approved by the Veterinary Sciences Animal Care Committee (protocol number AC 12‐0049). Sources of funding: UCVM internship fund. Competing interests: none.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.005 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".