Acute aortic thrombosis with limb ischemia in a patient with influenza A
Bibliographic record
Abstract
Background: Influenza A is associated with venous and, less commonly, arterial thrombosis. Stroke and myocardial infarction comprise most arterial events, with only rare involvement of the aorta and peripheral arteries. Case report: We report a 61-year-old male hospitalized for influenza A pneumonia and rhabdomyolysis who developed acute right lower limb ischemia on day 7 of his admission. Computed tomography scan of the abdomen revealed acute descending and infrarenal aortic thrombosis with embolic occlusion of the right popliteal artery. He underwent successful embolectomy and fasciotomy with good functional outcome. Conclusion: This case demonstrates that Influenza A infection may provoke severe and unusual thrombotic events, even during the convalescent phase of illness. Prompt diagnosis and intervention are required to reduce the risk of limb amputation and mortality. LEARNING POINTS: While influenza A is a known trigger for major arterial events such as stroke and myocardial infarction, this report demonstrates it may also provoke peripheral arterial thrombosis, resulting in critical limb ischemia.The diagnosis of arterial thrombosis requires a high index of suspicion, as it may occur during the convalescent phase of illness and result in loss of limb and death without emergent intervention.Although case reports suggest arterial thrombosis may be mediated by disease severity and traditional cardiovascular risk factors, limb ischemia may develop in patients without a prior history of thrombosis or established cardiovascular disease.
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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 | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".