Atypical hemolytic-uremic syndrome in a patient with adenosine deaminase deficiency
Bibliographic record
Abstract
Inherited defects in the ubiquitous adenosine deaminase (ADA) enzyme disrupt the function of the immune system as well as many other organs and tissues. Some patients may also suffer from kidney damage. Here we report on an ADA-deficient patient who was treated with ADA replacement therapy from infancy and at 6 years of age developed acute kidney failure, thrombocytopenia, and severe anemia. A kidney biopsy demonstrated mesangiolysis and occlusion of kidney loops by erythrocytes and platelet aggregates, which is consistent with hemolytic-uremic syndrome (HUS). There was no evidence of exposure to Shiga toxins, nor were any complement abnormalities detected. The kidney function improved following hemodialysis. Our report demonstrates the increased susceptibility of ADA-deficient patients to develop HUS and expands the nonimmune abnormalities associated with ADA deficiency. This further emphasizes the vigilance required when caring for such patients. Statement of novelty: Here we provide the first detailed clinical and histological characterization of hemolytic-uremic syndrome developing in an ADA-deficient patient.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".