Necrotizing fasciitis in children in eastern Ontario: a case-control study.
Bibliographic record
Abstract
BACKGROUND: Early recognition and treatment are important factors that can help improve survival following necrotizing fasciitis. However, early recognition is complicated by the difficulty in distinguishing the infection from other, less serious soft-tissue infections such as cellulitis. We reviewed the charts of children presenting with necrotizing fasciitis at a tertiary care pediatric hospital in Ontario to document potential increases in the frequency of cases and to identify clinical and laboratory features that could help distinguish between necrotizing fasciitis and cellulitis. METHODS: Necrotizing fasciitis was defined as a soft-tissue infection characterized by necrosis of subcutaneous tissue and confirmed at surgery or on pathological examination. A retrospective chart review was conducted to identify cases of necrotizing fasciitis that occurred between June 1, 1983, and May 31, 1999. The characteristics of the identified cases, their clinical manifestations and the laboratory features at presentation were compared with those of matched controls admitted to the hospital with cellulitis. RESULTS: In total, 8 cases of necrotizing fasciitis were identified during the study period. There were no cases from 1983 to 1987, 1 from 1988 to 1991, 1 from 1992 to 1995, and 6 cases from 1996 to 1999. Compared with the children who had cellulitis, those who had necrotizing fasciitis were more likely to present with a generalized erythematous rash (odds ratio [OR] 11.0; 95% confidence interval [CI] 1.5-81.6) and a toxic appearance (OR 23.0; 95% CI 2.0-262.5). They were also more likely than the children with cellulitis to have a history of fever (8/8 v. 10/24, p = 0.004), a higher temperature (mean 38.7 degrees C v. 37.8 degrees C, p = 0.006), a higher respiratory rate (mean 31.5 v. 25.4 breaths/min, p = 0.02) and a lower platelet count on presentation (mean 194.0 v. 299.3 x 10(9)/L, p = 0.03). INTERPRETATION: On presentation, factors that may help distinguish necrotizing fasciitis from cellulitis include a generalized erythematous rash, toxic appearance, fever and low platelet count.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".