Massive Hemoptysis Due to the Rupture of Thoracic Aortic Aneurysm Caused by Leukemic Cell Infiltration in a Patient With Chronic Myelomonocytic Leukemia
Bibliographic record
Abstract
Hemoptysis is occasionally experienced in patients with hematological malignancies who have respiratory tract infection and severe thrombocytopenia. Thrombocytopenia due to hematological disease is one cause of hemoptysis. Chronic myelomonocytic leukemia (CMML) is a clonal hematopoietic malignancy characterized by both a myeloproliferative neoplasm and a myelodysplastic syndrome. This malignancy often infiltrates various extramedullary organs and has a poor prognosis. An 84-year-old Japanese man with CMML was suffered from hemoptysis and dyspnea. When he arrived at the emergency room, hemoptysis stopped. His white blood cell count was 866 × 10 9 /L with 3.5% blast cells and 36.5% monocytes; hemoglobin was 6.7 g/dL; platelets count was 19 × 10 9 /L; and C-reactive protein was 16.23 mg/dL. Chest X-ray examination revealed an invasion shadow near the mediastinum in the left upper lung field. Chest computed tomography revealed a tumorous lesion in the left upper lobe, which had progressed to the mediastinum and formed an infiltration shadow around it. He was administered the antibiotics and the hemostatic agents under hospitalization. He also received blood transfusion for anemia and thrombocytopenia. Rapid improvement in oxygenation was observed along with a rapid decrease in blood levels in the sputum. On the eighth days of hospitalization, however, the patient newly developed massive hemoptysis and died. Autopsy revealed rupture of a thoracic pseudoaneurysm due to infiltration of leukemia cells in the tunica media and lung. Clinicians should consider thoracic aortic aneurysms as a possible cause of hemoptysis even in cases with small hemoptysis. It should be noted that in CMML patients, direct infiltration of leukemia cells in the vascular wall can cause aneurysm formation. J Clin Med Res. 2019;11(2):145-150 doi: https://doi.org/10.14740/jocmr3712
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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".