Adverse Events After the Use of Benznidazole in Infants and Children With Chagas Disease
Bibliographic record
Abstract
BACKGROUND: Chagas disease is caused by infection with Trypanosoma cruzi. In adults, treatment with benznidazole is associated with a high incidence of adverse drug reactions (ADRs). However, in infants and children, treatment with benznidazole seems associated with a lower incidence and decreased severity of ADRs, but these effects have not been clearly characterized. OBJECTIVE: We aimed to describe ADRs observed in infants and children treated with benznidazole. PATIENTS AND METHODS: We conducted a prospective cohort study of infants and children in Argentina with Chagas disease treated with benznidazole. RESULTS: A total of 107 infants and children diagnosed with asymptomatic Chagas disease (mean age: 6.9 years) were enrolled in the study. Sixty-two events (in 44 children) were considered benznidazole related. Mean ADR duration was 8.2 days. ADRs were mild (80.6%), moderate (16%), or severe (3.2%). Most (77.3%) ADRs were in children older than 7 years. Skin was the organ with the highest incidence of ADRs (21%), followed by the central nervous system (9%) and the gastrointestinal tract (8.5%). Also, the ADR rate was lower in infants and toddlers compared with older children (18% vs 53%) (P < .001). CONCLUSIONS: Treatment with benznidazole was well tolerated in children. Most ADRs were mild and did not require treatment suspension. A strong association was observed between ADR incidence and patient age, and most ADRs occurred in children older than 7 years. We believe that anxiety over potential severe ADRs in children with Chagas disease is not justified and should not be an obstacle to using benznidazole.
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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) | 0.001 | 0.001 |
| 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 | 0.001 |
| 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".