Massive Pulmonary Embolism from worsening of Gouty Arthritis due to the COVID-19 Pandemic
Bibliographic record
Abstract
Abstract: Gout is the most common inflammatory arthritis in men and is associated with increased mortality and is an independent risk factor for cardiovascular disease such as myocardial infarction and stroke. In addition, several other types of inflammatory arthritis have been linked to increased risk of venous thromboembolism (VTE). VTE is associated high mortality of around 9.7% for PE and 4.6% for DVT. However, only a handful of studies have been conducted to estimate the risk of VTE in patients with gout before or after diagnosis. Most recent study in Canada concluded that patients with gout have around a 20% increase in risk compared to the general population for VTE. However, they stated not all gout patients carry the same risk and further research is needed to identify high risk factors and implement prophylactic therapy. In addition to that, multiple studies have concluded that alcohol sales, mental health illness, and drug use has increased dramatically during the COVID-19 pandemic. We present an interesting case of a 64-year-old patient with history of chronic gout which worsened within the last six months, first leading to DVT and a few months later a massive pulmonary embolism (PE). The patient had multiple high-risk factors for PE including chronic gout with worsening flare ups due to the excessive alcohol drinking since the COVID-19 pandemic and recent non-adherence to DVT anticoagulant medication for a month. We highlight the importance to monitor for high-risk factors such as excessive alcohol use and immobility in patients with inflammatory condition such as gout especially during the COVID pandemic.
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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 | 0.000 | 0.000 |
| 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".