A Five-Month-Old Infant With Severe Autoimmune Hemolytic Anemia Treated Without Blood Transfusions
Bibliographic record
Abstract
Autoimmune hemolytic anemia (AIHA) is a rare hematologic disease in children with an incidence of 0.2/100,000 under 20 years of age. This article reports the case of an infant with AIHA in which blood transfusions were not necessary, and performs a brief literature review of this rare disease in children. A 5-month-old infant was with a 9-day fever, progressive and intense pallor, severe hepatosplenomegaly, anicteric, and a history of blood incompatibility in cross-tests. Complementary exams showed hemoglobin 3.3 g/dL with reticulocytosis and erythroblastosis, leukocytosis with left upper shift, elevated lactic dehydrogenase, Coombs direct reactive with predominance of IgG. The child evolved with important improvement after pulse methylprednisolone therapy and treatment with folic acid and ceftriaxone, without performing any blood transfusion. The clinical features of AIHA include anemic and hemolytic signs. Mainly, diagnosis is done by laboratory tests showing anemia, hemolysis and positive direct antibody test. In children, it tends to an acute course and to an excellent response to corticosteroids, but erythrocytes transfusions are often used in critical hemoglobin levels. J Med Cases. 2018;9(9):284-286 doi: https://doi.org/10.14740/jmc3019w
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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 | 0.002 | 0.003 |
| 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".