Clinical Characteristics, Management, and Outcomes of the Patients With ST-Segment Elevation Myocardial Infarction Before and During the COVID-19 Pandemic
Bibliographic record
Abstract
BACKGROUND: The first case of coronavirus disease 2019 (COVID-19) in the United Arab Emirates (UAE) was reported on January 29, 2020. Various anecdotal reports suggest that fewer patients with ST-segment elevation myocardial infarction (STEMI) have been presented to the hospital during the COVID-19 pandemic. In this study, we examined the patient characteristics, in-hospital management, and outcomes of the patients with STEMI before and during the COVID-19 pandemic in Abu Dhabi, UAE. METHODS: We analyzed the data retrospectively from January 1, 2019 to December 31, 2020 and stratified the same into two periods: before the pandemic (January 1, 2019 to January 28, 2020) and during the pandemic (January 29, 2020 to December 31, 2020). The patient-level data for the two periods were compared to identify the differences in the patient characteristics, in-hospital management, and 30-day mortality outcomes of the patients with STEMI. RESULTS: During the COVID-19 pandemic, the number of STEMI cases was lower (n = 234) than before the pandemic (n = 266), and 11patients (4.7%) tested positive for COVID-19 during their hospital encounter. In comparison to before the pandemic, patients with STEMI were significantly younger (mean age: 50.39 years, standard deviation (SD) ± 10.32 years), less likely to present to the emergency department (ED), and more likely to have histories of hypercholesterolemia (P < 0.001) and coronary artery disease (P < 0.001). Significantly shorter door-to-balloon time (56.6 ± 27.26 min, P < 0.001) and decreased length of stay (4.7 ± 6.8 days, P < 0.001) were observed during the pandemic. However, no considerable difference in the 30-day mortality was observed in 2020 as compared to before the pandemic (2.1% versus 3.0%, respectively). CONCLUSIONS: Hospital presentation for the patients with STEMI decreased during the COVID-19 pandemic, with significant differences in the door-to-balloon time and length of hospital stay. This indicates that the hospital systems of care continued to operate with higher efficiency during the COVID-19 pandemic than before the pandemic in the UAE.
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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 | 0.003 | 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 | 0.001 | 0.000 |
| 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".