Necrotizing Fasciitis
Bibliographic record
Abstract
Necrotizing fasciitis (NF) is a life-threatening infectious disease whose incidence has been on the rise. Commonly a consequence of group A beta-hemolytic Streptococcus infection, it results in high levels of morbidity and mortality. Diagnosis is difficult and treatment involves emergent surgical intervention and antibiotic therapy. The aim of this study is to examine the incidence of NF in Manitoba with the goal of observing whether there is a geographic variation in incidence and outcomes based on Regional Health Authorities (RHAs). This is a 6-year retrospective chart review of all NF patients who presented to the Health Sciences Center from 2004 to 2009. A total of 130 patients satisfied the inclusion criteria. The mean age was 47 ± 16 years. The most common comorbidities were diabetes (33.8%) and hypertension (33.1%). The overall mortality was 13.1% with advanced age being an independent risk factor (P < .05). Lower extremity was the most common location of infection (44.6%) and the most common causative organism was group A beta-hemolytic Streptococcus (63.9%). The type of infection (mono- vs. polymicrobial) was not found to affect length of stay, amputation rate, or mortality. There was no statistical difference in rate of amputations, length of stay, or mortality based on RHA. Incidence within the province, however, varied significantly based on RHA and ethnicity (P < .05). We determined that regardless of origin before admission, all our patients have equivalent prognosis. Burntwood RHA was found to have substantially higher incidence than the rest of the province, and higher incidence was established among the Aboriginal population.
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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 | 0.001 |
| 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 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".