Two Roads Diverge: Treatment Choice in Coexisting Severe Aplastic Anemia and Paroxysmal Nocturnal Hemoglobinuria
Bibliographic record
Abstract
Aplastic anemia (AA) is a bone marrow failure syndrome of pancytopenia due to impaired hematopoiesis. It is strongly associated with paroxysmal nocturnal hemoglobinuria (PNH). Each condition can cause the other, or occur simultaneously. There are no guidelines for treating concomitant AA and PNH; immunosuppressive therapy (IST) or hematopoietic stem cell therapy (HSCT) is first-line for the former, and eculizumab is first-line for the latter. New studies suggest that treating AA/PNH together versus sequentially should depend on AA severity. We report the case of a previously healthy male (31-year-old, Nigerian immigrant) who developed jaundice, scleral icterus, easy fatigability, and epistaxis. He was diagnosed with AA on bone marrow biopsy and with PNH on flow cytometry. He initially underwent chemotherapy due to increased infection risk with eculizumab in a neutropenic patient; however, he showed minimal response and thus began eculizumab pending allogeneic stem cell transplant. There are no guidelines for treating patients with both AA and PNH, and clinical decision making is generally individualized based on disease severity. Only one prior publication reported simultaneous treatment with eculizumab and chemotherapy, due to stated concern for pancytopenia, especially neutropenia, being the most immediate cause of morbidity/mortality. This demonstrates the individualized decisions that must be made when treating simultaneous PNH and AA, and the importance of PNH/severe AA patients as a separate subpopulation.
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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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.006 | 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".