Peripheral Embolization of Left Ventricular Thrombus Leading to Acute Bilateral Critical Limb Ischemia: A Rare Phenomenon
Bibliographic record
Abstract
Left ventricular thrombus (LVT) is a well-known complication of myocardial infarction (MI) leading to significant morbidity and mortality. LVT can also lead to systemic thromboembolic events causing threatening limb ischemia. We report a rare case of critical bilateral limb ischemia that resulted from peripheral embolization of LVT post MI, which was managed successfully by emergent surgical intervention and anticoagulation. A 74-year-old male with a medical history of hypertension, diabetes, hyperlipidemia and coronary artery disease status post stenting of the left anterior descending and left circumflex arteries presented to the emergency department with typical chest pain and progressive shortness of breath. Cardiac troponin levels on admission were 35 ng/mL of blood. The patient subsequently underwent emergent cardiac catheterization which revealed significant triple vessel disease, and was referred for coronary artery bypass grafting (CABG) surgery. Transthoracic and transesophageal echocardiograms revealed the presence of an apical aneurysm with chronic organized mobile thrombus at the apex. Post CABG, the patient complained of excruciating right leg pain. Computed tomography (CT) angiogram of the abdominal aorta and lower extremities revealed a large embolus at the aortic bifurcation occluding the right and nearly occluding the left common iliac arteries and thrombus in the right popliteal artery. He underwent emergent vascular surgery with resolution of his symptoms and remained without further complications. The incidence of LVT remains high in post-MI patients, and complications of LVT are known to include thromboembolic events. Peripheral embolization of acute or chronic LVT leading to bilateral distal embolization and critical limb ischemia remains a rare occurrence. This case report aims to aid clinicians to recognize and promptly manage LVT and related arterial thromboembolic events with anticoagulation and emergent surgical intervention if limb ischemia develops.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| 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".