Ninety-Minute vs 3-h Performance of High-Sensitivity Cardiac Troponin Assays for Predicting Hospitalization for Acute Coronary Syndrome
Bibliographic record
Abstract
To the Editor: In patients undergoing transcoronary ablation for septal hypertrophy, concentrations of high-sensitivity cardiac troponin T(hs-cTnT)1 increase within 15 min of the procedure (1). If this situation translates to patients who present with chest discomfort who are suffering an acute myocardial infarction (AMI), hs-cTnT probed at time zero and at least 3 h later should be adequate to diagnose or exclude AMI (2, 3). Moreover, the kinetics shown in those with septal ablation suggest that an even earlier evaluation might be possible for clinical decision-making (1, 2). To assess the usefulness of early troponin measurements, we assessed the performance of hs-cTnT and hs-cTnI at 90 min and 3 h for predicting hospitalization for acute coronary syndrome (ACS) in patients presenting to the emergency department (ED) within 6 h of chest pain onset. This study included patients enrolled in the RING study (Reducing the time Interval for identifying New Guideline defined MI in patients with suspected ACS in the ED; research ethics board approved) (4) who had EDTA plasma frozen (−80 °C) at presentation (baseline), 90 min, and 3 h (n = 130 patients). Inclusion criteria were: ≥18 years old with onset of ACS symptoms in the past 6 h, blood sample collection ordered by the ED physician for cardiac troponin measurement, informed consent obtained, and availability for telephone follow-up. …
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| 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 | 0.002 | 0.002 |
| 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".