Necrotizing Fasciitis Among Patients With Liver Cirrhosis in Texas, 2001 - 2010: A Population-Based Cohort Study
Bibliographic record
Abstract
BACKGROUND: Liver cirrhosis is a risk factor for necrotizing fasciitis (NF), and is associated with markedly worse outcomes than for NF among non-cirrhosis patients. Only limited, mostly single-center, data were reported to date on the epidemiology, clinical features, resource utilization and outcomes of NF among patients with cirrhosis. METHODS: We studied a population-based cohort of adult hospitalizations associated with cirrhosis, who had a diagnosis of NF during the years 2001 - 2010, using the Texas Inpatient Public Use Data File. The annual volume of NF hospitalizations was benchmarked against all annual hospitalizations with a diagnosis of cirrhosis. The patterns of demographics, chronic comorbidities, evolving organ failure, resource utilization and outcomes were examined. RESULTS: There were 371,745 hospitalizations associated with liver cirrhosis, with 381 NF hospitalizations during study period. The annual volume of NF hospitalizations rose 7.9%/year (P = 0.0287), while its incidence among cirrhosis-associated hospitalizations remained unchanged (P = 0.2955). Non-cirrhosis comorbidities were reported in 69.6% and ICU care was required in 67.2% of NF hospitalization. The key changes noted between 2001 - 2003 and 2008 - 2010 among NF hospitalizations included rising mean (SD) Deyo-Charlson index 2.4 (1.5) vs. 3.9 (2.4) (P < 0.0001), development of ≥ 3 organ failures in 9.1% vs. 39.8% (P < 0.0001), and discharge to long-term care facilities 7.8% vs. 21.1% (P = 0.0204). Hospital mortality was unchanged (26% vs. 33.1%; P = 0.3659). Inflation-adjusted total hospital charges did not change (P = 0.1025) during study period. CONCLUSIONS: The present cohort of NF associated with liver cirrhosis is the largest reported to date. A rising annual volume of NF events matched a corresponding increase in cirrhosis-associated hospitalizations. There was increasing burden of chronic comorbidity and rising severity of illness, with a majority of patients requiring ICU care. Case fatality was high and there has been increasing residual morbidity among hospital survivors. The observed findings warrant further study in other populations.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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 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".