Acute adenitis in children: Clinical course and factors predictive of surgical drainage
Bibliographic record
Abstract
OBJECTIVES: To describe clinical course of children hospitalized for a first episode of acute unilateral infectious adenitis and to identify factors predictive of surgical lymph node drainage. METHODS: We reviewed medical records of children from 0 to 17 years of age discharged from a tertiary care pediatric center with a diagnosis of adenitis between 1 April 1996 and 31 March 2001. Patients were included if they had acute (< or = 10 days) unilateral lymph node swelling greater or equal to 2.5 cm on initial physical examination. Exclusion criteria were: bilateral adenitis or adenitis at more than one site; prior adenitis; underlying chronic disease. RESULTS: Two hundred and eighty-four patients were included in this study. The mean age was 4.0 years (3.1 SD). Twenty-three per cent of infected nodes were > 5 cm in size and 92.6% were cervical. Thirteen of 252 blood cultures were positive (5.2%), of which one showed Streptococcus pneumoniae and 12 contaminants. Mean length of stay was 4.2 days (2.2 SD). Surgical node drainage was performed in 60 (21.1%) patients. Factors significantly associated with increased risk of surgical drainage were age < 1 year (adjusted OR: 14.5; 95% CI: 5.0-42.2) and node involvement > 48 h (adjusted OR: 2.9; 95% CI: 1.2-7.2). There were no major complications. Follow-up was documented in 183 patients, of whom 92.3% achieved complete healing. CONCLUSIONS: Children hospitalized for a first episode of acute unilateral infectious adenitis generally do well. Younger patients and those with longer duration of node involvement before admission have an increased risk of surgical node drainage.
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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 | 0.003 |
| 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 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".