Effect of Aspirin Use on the Adverse Outcomes in Patients Hospitalized for COVID-19
Bibliographic record
Abstract
Background: Coronavirus disease 2019 (COVID-19) triggers multiple components of the immune system and causes inflammation of endothelial walls across vascular beds, resulting in respiratory failure, arterial and venous thrombosis, myocardial injury, and multi-organ failure leading to death. Early in the COVID-19 pandemic, aspirin was suggested for the treatment of symptomatic individuals, given its analgesic, antipyretic, anti-inflammatory, anti-thrombotic, and antiviral effects. This study aimed to evaluate the association of aspirin use with various clinical outcomes in patients hospitalized for COVID-19. Methods: This was a retrospective study involving patients aged ≥ 18 years and hospitalized for COVID-19 from March 2020 to October 2020. Primary outcomes were acute cardiovascular events (ST elevation myocardial infarction (STEMI), type 1 non-ST elevation myocardial infarction (NSTEMI), acute congestive heart failure (CHF), and acute stroke) and death. Secondary outcomes were respiratory failure, need for mechanical ventilation, and acute deep vein thrombosis (DVT)/pulmonary embolism (PE). Results: Of 376 patients hospitalized for COVID-19, 128 were taking aspirin. Significant proportions of native Americans were hospitalized for COVID-19 in both aspirin (22.7%) and non-aspirin (24.6%) groups. Between aspirin and non-aspirin groups, no significant differences were found with regard to mechanical ventilator support (21.1% vs. 15.3%, P = 0.16), acute cardiovascular events (7.8% vs. 5.2%, P = 0.32), acute DVT/PE (3.9% vs. 5.2%, P = 0.9), readmission rate (13.3% vs. 12.9%, P = 0.91) and mortality (23.4% vs. 20.2%, P = 0.5); however, the median duration of mechanical ventilation was significantly shorter (7 vs. 9 days, P = 0.04) and median length of hospitalization was significantly longer (5.5 vs. 4 days, P = 0.01) in aspirin group compared to non-aspirin group. Conclusion: No significant differences were found in acute cardiovascular events, acute DVT/PE, mechanical ventilator support, and mortality rate between hospitalized COVID-19 patients who were taking aspirin compared to those not taking aspirin. However, larger studies are required to confirm our findings.
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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 | 0.010 | 0.285 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| 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".