Practice Patterns in the Management of Preseptal and Orbital Cellulitis: A National Survey
Bibliographic record
Abstract
OBJECTIVE: To describe clinical practice patterns in diagnostic testing, antibiotic treatment, hospitalization, subspecialty consultation, and discharge recommendations for children with preseptal and orbital cellulitis across Canadian hospitals. METHODS: A cross-sectional survey of pediatric hospitalists and pediatric emergency department (ED) physicians was conducted. The survey was distributed through the Canadian Pediatric Inpatient Research Network and completed by hospital representatives. Site-level clinical management specific to clinician was assessed. Data were analyzed descriptively. RESULTS: Of 40 hospitals contacted (17 children's and 23 community hospitals), 32 responded (80%; 13 children's hospitals, 19 community hospitals). The most ordered tests in the ED were complete blood count (81.9%) and C-reactive protein (CRP; 81.9%). When not ordered in the ED, 20 (62.5%) pediatric inpatient services ordered CRP and 4 (12.5%) ordered erythrocyte sedimentation rate. For admitted children, computed tomography scans were ordered always or frequently by 46.2% of children's hospital pediatricians and 5.3% of community hospital pediatricians. Ophthalmology (n = 11, 84.6%), otolaryngology (n = 9, 69.2%), and infectious diseases (n = 6, 46.2%) were frequently consulted at children's hospitals. Children with preseptal cellulitis not requiring admission were usually discharged home on oral cephalexin, whereas 2 sites recommended intravenous (IV) ceftriaxone. All children admitted with orbital cellulitis received IV antibiotics initially, most commonly a third-generation cephalosporin with antianerobic and antistaphylococcal agents or a third-generation cephalosporin with an antistaphylococcal agent. CONCLUSIONS: There is limited consensus on diagnostic tests, subspeciality consultation, and empirical antibiotic therapy for preseptal and orbital cellulitis. This survey provides insight into health system-level usage that highlights the need to develop a clinical practice guideline to help standardize management.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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".