Analytical evaluation of a high-sensitivity troponin T assay and its clinical assessment in acute coronary syndrome
Bibliographic record
Abstract
BACKGROUND: The recently developed, highly sensitive cardiac troponin T (hs-cTnT) immunoassay improves the detection of acute myocardial infarction (AMI). However, this assay requires further analytical and clinical evaluation. METHODS: Imprecision, linearity, limits of quantification and interferences were evaluated; hs-cTnT was compared with a conventional cardiac troponin I assay (cTnI), performed on an X-pand(®)HM, in a population of patients with suspected AMI. Finally, the 99th percentile cut-off point for a reference population was explored in 213 healthy control subjects. RESULTS: Imprecision analysis demonstrated coefficients of variation (CVs) below 4%, linearity showed a 0.999 coefficient of correlation, with excellent recovery (99.9%) and a limit of quantification (10%CV) was found at 9.2 ng/L. A negative interference (>20%) with haemolysis was observed when supplemental haemoglobin was above 0.25 g/dL. Patients with suspected AMI more frequently displayed an increased hs-cTnT (83%) than an increased cTnI (55%, P < 0.01). Unstable angina was present in 63% of patients with an increased hs-cTnT associated with no increase in cTnI. The 99th percentile value for our reference population was 16.9 ng/L. In 213 healthy blood donors, hs-cTnT levels were significantly correlated with age (P < 0.0001), and were higher in men than in women (P < 0.0001). CONCLUSIONS: The analytical performance of hs-cTnT complied with the international guidelines for AMI detection. Determining the degree of haemolysis in a sample is of paramount importance to the interpretation of hs-cTnT results. The 99th percentile value of our reference population was established.
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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 | 0.023 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".