A Case of High-Risk Myelodysplastic Syndrome With Cryoglobulinemia, Hemophagocytic Lymphohistiocytosis, and Progression to Multiple Organ Failure
Bibliographic record
Abstract
Myelodysplastic syndromes (MDSs) are a group of hematological malignancies characterized by ineffective hematopoiesis. It is associated with genetic mutations, including p53 pathway genes, and can lead to complications, such as cytopenia and transformation to acute myeloid leukemia (AML). Hemophagocytic lymphohistiocytosis (HLH) is a rare, life-threatening condition that arises from immune dysregulation and often presents secondary to malignancies. Additionally, cryoglobulinemia, characterized by the precipitation of serum proteins at cooler temperatures, has been associated with infection, autoimmune disorders, and malignancies. A 59-year-old female recently diagnosed with high-risk MDS and a biallelic TP53 mutation presented to an outside hospital with persistent fevers. Initial evaluation revealed a Klebsiella pneumoniae urinary tract infection. Her condition rapidly deteriorated, and she developed acute kidney injury and respiratory failure, necessitating intensive care. She then developed HLH, indicated by elevated ferritin and CD25 levels despite a negative bone marrow biopsy for hemophagocytosis, which was then followed by cryoglobulinemia. The patient received corticosteroids for her HLH, plasmapheresis for her cryoglobulinemia, and a decitabine regimen for her MDS with gradual recovery of her organ function for a short time. She ultimately transformed to AML, requiring further intensive care before she passed away. The presence of a recently diagnosed high-risk MDS, HLH, cryoglobulinemia, and multi-organ failure emphasizes the complexity of this case. Despite meeting several diagnostic criteria for HLH, the patient’s bone marrow biopsy was negative for histiocytosis, emphasizing diagnostic challenges. The presence of cryoglobulinemia potentially linked to immune dysregulation further emphasizes the complexity of this case. While treatment with corticosteroids, plasmapheresis, and immunosuppressants provided stability, they did not cure her condition. Existing literature describes associations between high-risk MDS and HLH as well as MDS and cryoglobulinemia, but none addresses associations between all three processes. This case highlights an unusual occurrence of MDS, HLH, and cryoglobulinemia, emphasizing the need for awareness of the complex interactions between these conditions. Given the high-risk nature of her MDS and her unique clinical manifestations, further investigation into the underlying mechanisms driving these processes is necessary to enhance recognition and therapeutic approaches for affected 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) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.004 | 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".