Adverse Outcomes in Primary Hemophagocytic Lymphohistiocytosis
Bibliographic record
Abstract
PURPOSE: Hemophagocytic lymphohistiocytosis (HLH) is a rare condition characterized by abnormal proliferation of macrophages. Although the mortality rate in children diagnosed with primary HLH is high, little has been described about the nature of adverse events. This review evaluates unfavorable events in children with primary HLH to suggest methods of improving outcomes. METHODS: Charts of patients who met diagnostic criteria for primary HLH at the Hospital for Sick Children between January 1985 and June 2000 were retrospectively reviewed. The primary outcome measure was an adverse event, defined as death, the subsequent diagnosis of malignancy, or developmental delay. RESULTS: Twenty children were diagnosed with primary HLH. The median age at diagnosis was 6.5 months (range 1-78 months). Nineteen children received chemotherapy and two underwent matched sibling donor bone marrow transplantation. Of the 20 children, 12 (60%) died. These deaths were attributed to progressive HLH in 4 cases and invasive infection in 8 cases. These infections consisted of disseminated cytomegalovirus infection (n = 1), sepsis (n = 1), and invasive fungal infections (n = 6). Eight children survived. Two were subsequently diagnosed with malignancy. Two others were found to have significant developmental delay. CONCLUSIONS: The overall mortality rate was 60% in our series of 20 children with primary HLH; 50% of deaths were directly attributable to invasive fungal infection. Developmental delay and the diagnosis of malignancy are important events in this cohort.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".