Pulmonary Vein Thrombosis in a Patient With Multiple Myeloma on Treatment With Lenalidomide
Bibliographic record
Abstract
Multiple myeloma (MM) poses inherent risk of thrombosis that can be amplified by the use of immunomodulator therapy. We present a patient with MM who was being treated with lenalidomide and dexamethasone when he developed progressive dyspnea on exertion consistent with a left lower pulmonary vein thrombosis (PVT) despite use of prophylactic aspirin. The PVT was not initially seen on standard computed tomography angiogram pulmonary embolism protocol but was seen on 192-slice multidetector computed tomography angiogram for assessment of coronary calcifications 8 months later. Subsequent treatment with full dose rivaroxaban resulted in full clot resolution and symptom improvement. PVT has not been previously reported with lenalidomide therapy and may not be a forefront differential diagnosis. In such cases, a multi-modality diagnostic approach may be beneficial. Consideration should be given to escalating venous thromboembolism prophylaxis to full dose anticoagulation during increased prothrombotic windows, such as the time of treatment initiation or dose adjustments, in low bleeding risk patients.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".