Adenovirus Infection in Children With Acute Myeloid Leukemia
Bibliographic record
Abstract
BACKGROUND: Children with acute myeloid leukemia (AML) are at high risk of life-threatening bacterial and fungal infection. However, little is known about the prevalence or severity of adenovirus infection in this population. Objective was to describe the characteristics, treatments and outcomes of adenovirus infection in children with newly diagnosed AML. METHODS: We performed a retrospective chart review based upon 2 multicenter cohort studies that focused on identifying risk factors for infection in children with AML. Inclusion criteria were patients with de novo AML who were ≤18 years of age at diagnosis with a clinical specimen positive for adenovirus. RESULTS: Among the 235 patients with AML, 12 (5.1%) had positive adenovirus testing. The most common site of isolation was stool (n = 11, 91.6 %), and the most frequent symptom was diarrhea (n = 11, 91.6 %). Two patients received specific treatment for adenovirus, namely intravenous immunoglobulin only in 1 patient and both intravenous immunoglobulin and inhaled ribavirin in a second patient. In 11 patients, adenovirus resolved uneventfully without recurrence, including 10 that received no adenovirus-specific therapy. However, 1 patient developed sepsis syndrome in the setting of disseminated adenoviral infection and died from multiorgan failure. CONCLUSION: In children with AML, adenovirus infection was rare and typically not associated with severe disease, even without specific treatment. However, disseminated and fatal disease can occur in this population. Further investigations are needed to identify pediatric AML patients at particular risk for severe adenovirus infection and to determine optimal treatment approaches in these 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) | 0.000 | 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".