Treatment of Cholesterol Embolization Syndrome in the Setting of an Acute Indication for Anticoagulation Therapy
Bibliographic record
Abstract
Cholesterol embolization syndrome (CES) is a complication sometimes occurring after invasive endovascular procedures. CES is characterized by release of cholesterol crystals and particles from atheromatous plaques, which can occlude distal vessels and induce an inflammatory response, resulting in end-organ damage. We report the case of a 66-year-old man who presented with an acute ST-elevation myocardial infarction. An intra-aortic balloon pump was placed due to hemodynamic instability following percutaneous coronary intervention. Ten weeks after discharge, he presented with signs and symptoms of CES (e.g., livedo reticularis, acrocyanosis, acute renal failure), and a new left ventricular apical thrombus. Withdrawal of anticoagulation is often recommended in the setting of CES, on the presumption that anticoagulants favor plaque hemorrhage and subsequent cholesterol micro-embolization. Because of the potential disastrous consequences of an embolus, the patient was anticoagulated with warfarin concurrently with corticosteroids to suppress the inflammatory response to cholesterol crystals. His renal function continued to improve and was discharged without the need for dialysis. This case illustrates that anticoagulation therapy in CES is feasible and appears to be safe in patients with a coexisting urgent indication for anticoagulation.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".