Association Between Corticosteroids and Outcomes in Children Hospitalized With Orbital Cellulitis
Bibliographic record
Abstract
OBJECTIVES: To examine the association between systemic corticosteroid use and outcomes for children hospitalized with orbital cellulitis at US children's hospitals. METHODS: We conducted a multicenter observational study using administrative data from the Pediatric Health Information System database from 2007 to 2019. Children between the ages of 2 months and 18 years with International Classification of Diseases, Ninth Revision, Clinical Modification or 10th Revision, Clinical Modification discharge diagnostic codes of orbital cellulitis were included. The primary exposure was receipt of systemic corticosteroids on the day of hospital admission. The primary outcome was hospital length of stay, and secondary outcomes included surgical intervention, ICU admissions, revisits, and health care costs. We used generalized logit model with inverse probability weighting logistic regression to adjust for demographic factors and assess for differences in clinical outcomes reported. RESULTS: Of the 5832 patients hospitalized with orbital cellulitis, 330 (5.7%) were in the corticosteroid group and 5502 (94.3%) were in the noncorticosteroid group. Patients in the corticosteroid group were older, had more severe illness, and received broad spectrum antibiotics. In adjusted analyses, corticosteroid exposure was not associated with differences in length of hospital stay, need for surgical intervention, ICU admissions, emergency department revisits, 30-day hospital readmissions, or hospital costs. Restricting the analysis to only those patients who received broad spectrum antibiotics did not change the findings. CONCLUSIONS: Early use of systemic corticosteroids in hospitalized children with orbital cellulitis is not associated with improved clinical outcomes. Use of corticosteroids in hospitalized children with orbital cellulitis should be discouraged outside of clinical trials.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 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".