The Unique Case of Acute Limb Ischemia in a Patient With a Patent Foramen Ovale
Bibliographic record
Abstract
Acute limb ischemia (ALI) is the sudden onset of decreased blood supply to the extremities and carries a poor prognosis for the affected limb and survival. A rare but well-recognized embolic etiology is a paradoxical embolism, the translocation of a thrombus from venous to arterial circulation through an intracardiac communication, most commonly a patent foramen ovale. The presentation of ALI secondary to a PFO-mediated paradoxical embolism is most often accompanied by combinations of deep vein thrombosis (DVT), pulmonary embolism (PE), and an acute cerebral or visceral ischemia. We present the first documented case of a Rutherford class I ALI secondary to a PFO-mediated paradoxical embolism, ipsilateral DVT, and PE in a 29-year-old female who was surgically managed for her disabling claudication rather than limb salvage. The overlapping presentation of a viable ALI and ipsilateral DVT created a challenging clinical diagnosis. Our review of the literature on PFO-mediated paradoxical emboli involved 43 reports including 51 patients with various arterial thromboses; 19 of these cases involved lower extremity ALI. This case report is the first case to date that demonstrates a paradoxical embolism causing acute lower extremity ischemia with ipsilateral DVT and no additional limb/visceral ischemia to suggest the diagnosis of ALI. We also highlight the role that quality of life plays in vascular surgical decision-making, extending ALI management goals to not only reducing mortality and major amputations, but also improving quality of life.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.005 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 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".