Implementation of a High-sensitivity Troponin Assay for Adult Patients Who Present to the Emergency Department With Chest Pain: The Role of Clinical Decision Support
Bibliographic record
Abstract
Background The objective of this study was to assess the health outcomes for patients who present to the emergency department (ED) with cardiac chest pain after the implementation of an accelerated diagnostic protocol using a high-sensitivity troponin assay (hs-TnI). Methods This prospective before-after cohort study used population-based linked health administrative data for adult patients who presented to a Canadian urban ED with chest pain of suspected cardiac origin over a 2-year study period. The primary outcome was ED length of stay (LOS). Secondary outcomes included operational and clinical outcomes within 30 days of the index ED visit. Results During the study period, 4339 patients were included, with 2031 in the conventional troponin group and 2308 in the hs-TnI group. Overall, the median age was 56 years and 52% were male. The median ED LOS was reduced from 430 minutes to 400 minutes after protocol implementation (median difference, -30.0; 95% confidence interval, -47.8 to -12.3). For discharged patients who underwent serial troponin tests, the LOS was 89 minutes shorter (95% confidence interval, -110.8 to -67.2). The proportion of patients discharged increased from 73% to 78% after implementation ( P = 0.0001). At 30 days, there were no differences in hospital readmission or major adverse event outcomes. Conclusions Using clinical decision support, the implementation of a new hs-TnI and accelerated diagnostic protocol was associated with shorter ED LOS and fewer hospitalizations for adult patients with chest pain who were assessed in the ED. These results suggest that the protocol is effective and safe in real-world clinical settings.
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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 | 0.004 | 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".