Predictors of Mortality in Patients With Necrotizing Fasciitis: A Literature Review and Multivariate Analysis
Bibliographic record
Abstract
Background: Necrotizing fasciitis (NF) is a life-threatening infectious disease that can result in significant morbidity and mortality. Previously identified factors have not been verified in a large population. The objective of this study is to further examine the relationship of patient factors in NF mortality. Methods: This study is a retrospective review on patients ≥18 years old diagnosed with NF at the provincial referral centres from 2004 to 2016. The following data were examined: demographics, comorbidities, laboratory values, length of stay, and inhospital mortality. Results: Three hundred forty patients satisfied the inclusion criteria: 297 survived and were discharged, 43 died in hospital. In multivariate analysis, a prognostic model for NF mortality identified age >60 years, elevated creatinine, abnormal blood platelets, and group A β-hemolytic Streptococcus (GABS) infection. Conclusions: Multiple factors were associated with mortality in NF. The strongest univariate association with mortality was age >60 years. In addition, a history of hypertension and/or dyslipidemia, renal disease, and the presence of GABS contributed to a predictive model for inhospital NF mortality.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.004 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| 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".