A Rare Case of Severe Hemolytic Anemia and Pulmonary Embolism Secondary to <i>Mycoplasma pneumoniae</i> Infection
Bibliographic record
Abstract
A 27-year-old woman was admitted with a history of dry cough, breathlessness, fever, lethargy, and nausea and vomiting. On examination, she was febrile, jaundiced, and hypoxic. Blood tests revealed severe leucocytosis and severe hemolytic anemia. The chest imaging demonstrated coexisting pneumonia and pulmonary embolism. An initial blood transfusion worsened the hemolytic anemia to the point that critical care review was required. Subsequent blood tests revealed cold agglutinin hemolytic anemia due to Mycoplasma pneumoniae infection. The patient’s condition improved after receiving a warm-blood transfusion, antibiotics, and steroid therapy. The patient also received anticoagulant therapy for 6 months. Our case is unique in that the patient had very severe anemia and very severe leucocytosis, making us suspect a hematologic malignancy at initial presentation. This case emphasizes the importance of prompt evaluation of hemolytic anemia and the use of warm blood transfusion for cold agglutinin disease. J Med Cases. 2022;13(3):119-124 doi: https://doi.org/10.14740/jmc3866
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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 | 0.003 |
| 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 | 0.002 |
| Research integrity | 0.003 | 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".