ST-Segment Elevation Myocardial Infaction Alert During the Night Shift, A Misfortune for the Patient or an Overstatement?
Bibliographic record
Abstract
BACKGROUND: Conflicting data exist regarding the outcomes of primary percutaneous coronary intervention (PCI) for ST-segment elevation myocardial infarction (STEMI) based on intervention timings. It is believed that short staffing at night hours may lead to a lapse in the delivery of effective, efficient and timely medical intervention. METHODS: A retrospective single-center study was performed, and a total of 436 patients were randomized into two groups. Group A had 279 patients who had the heart catheterization done during the daytime (between 6 am and 6 pm), while group B had 157 patients who had the same intervention performed at night (between 6 pm and 6 am). RESULTS: Door to balloon (DTB) time during the day was about 16 min shorter than the DTB time at night (81.29 ± 3.26 vs. 97.30 ± 8.54) with no statistical difference (P = 0.051). The mean troponin rise during the day was 1.94 ± 10.60 SEM (95% confidence interval (CI): -22.70 to 18.90) higher than night troponin levels (71.75 ± 7.18 vs. 69.80 ± 7.18), but P value was 0.85. The left ventricular ejection fraction (LVEF) fall for daytime was 0.93% vs. 0.90% for night time patients (P = 0.94). CONCLUSION: There is no significant difference in the mean DTB time, the rise in troponin, fall in LVEF, readmission rates, or mortality, and hence no negative effects on patient outcomes based on the patient's time of presentation between the two groups.
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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 | 0.003 | 0.013 |
| 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 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".