Hot off the press: <scp>SGEM</scp>#370: Listen to your <scp>HEART</scp> (score) … <scp>MACE</scp> incidence in non–low‐risk patients with known coronary artery disease
Bibliographic record
Abstract
Chest pain is one of the most common presentations to the emergency department (ED), with a high admission rate in prior decades contributing to ED overcrowding. Over the years, various risk stratification systems have been developed, including the prominent HEART Score and Pathway. Patients are stratified into low, moderate, and high risk. Most “non–low-risk” patients are recommended for admission and objective cardiac testing.1-5 The study by McGinnis et al. seeks to ask if the presence of known coronary artery disease (CAD) is predictive of major adverse cardiac events (MACE) in moderate-risk patients. This study is a preplanned subgroup analysis of the HEART Pathway Implementation Study. Non–low-risk patients (history, ECG, age, risk factors [HEAR] score ≥ 4) over 21 years old with chest pain or suspected acute coronary syndrome, elevated troponin, ischemic ECG, or prior CAD were included in the study. The primary outcome was MACE at 30 days, with secondary outcomes being individual components of MACE at the index visit. In non–low-risk patients with known CAD, there was a 7.1% incidence of MACE at 30 days, and in those without known CAD, the incidence of MACE at 30 days was 1.4%. The study was limited by the fact that it was a subgroup analysis, but strengthened by the quality of the original HEART Implementation Study. The authors were clear in their definitions of MACE, and the implementation study showed that clinicians are consistent and reliable in their assignment of HEART scores. Several patients were miscategorized, which somewhat limits the data, but correct categorization would in fact make the results stronger overall. Primary outcome: 30-day MACE defined as the composite of all-cause death, myocardial infarction (MI), or coronary revascularization (including the index visit). Moderate-risk patients (HEAR score ≥ 4) without known CAD, after negative serial troponins and a nonischemic ECG, have a low 30-day risk of MACE and may be considered for outpatient workup. Non–low-risk chest pain patients with HEAR score ≥ 4 and no known CAD may be considered for discharge and close outpatient follow up. The authors declare no potential conflict of interest.
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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.076 | 0.013 |
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".