Clinical presentation and risk factors of serious infections in children with Down syndrome treated for acute lymphoblastic leukemia
Bibliographic record
Abstract
BACKGROUND: Treatment of acute lymphoblastic leukemia (ALL) in children with Down syndrome (DS) is associated with a higher incidence of life-threatening infections compared to the overall pediatric population. The objective of this study was to describe infections and identify risk factors of microbiologically documented infections at a sterile site in children with DS during chemotherapy for ALL. PROCEDURE: We conducted a single-institution retrospective review of infectious episodes encountered by patients with DS during primary treatment for ALL. Correlations between features of clinical presentation and severity of microbiologically proven infections were investigated. RESULTS: Among 237 suspected infectious episodes encountered by 35 patients with DS and ALL (DS-ALL), a total of 40 episodes (16.9%) had the clinical presentation of a severe infection (SI). Seventeen patients had 33 (13.9%) microbiologically proven infections from a sterile site. Fever was not part of the clinical presentation in 27% of microbiologically documented infectious episodes. The odds ratio of a microbiologically proven infection at a sterile site was significantly increased during a 7-day interval after treatment with glucocorticoids (2.18; 95% CI: 1.02-4.66; P = 0.04). Neither administration of anthracyclines in the preceding 14 days nor neutropenia correlated with infections. CONCLUSIONS: Serious infections in DS-ALL may present without typical signs such as fever. The immediate time period following administration of glucocorticoids is particularly associated with the risk of SIs.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.000 | 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 teacher head, 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".