Prevalence of Biofilm-forming Bacteria in Chronic Rhinosinusitis
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND: Recently, biofilms have been implicated in the pathogenesis of recalcitrant chronic rhinosinusitis (CRS). We sought to determine the prevalence of biofilm-forming cultures obtained from patients with CRS and clinical factors that may contribute to biofilm formation. METHODS: Endoscopically guided sinonasal cultures were obtained in duplicate from CRS patients with evidence of mucopurulence. Bacterial swabs were sent for microbiological characterization and were simultaneously evaluated for biofilm-forming capacity by a modified Calgary Biofilm Detection Assay. Biofilm formation was based on concomitant values of biofilm-forming Pseudomonas aeruginosa O1 (PAO1) (positive control) and non-biofilm-forming mutants sad-31 (type IV pili) and sad-36 (flagella K; negative control). Samples, with growth greater than the sad-31 mutant, were designated as biofilm formers. RESULTS: Sinonasal cultures were obtained from 157 consecutive patients (83 female patients) over a 4-month period. Forty-five samples (28.6%) showed biofilm formation. Among patients with a prior history of functional endoscopic sinus surgery (FESS), 30.7% (n = 42) showed biofilm growth. For patients naive to surgical intervention (n = 20), only 15% showed biofilm formation. A positive, statistically significant correlation existed between biofilm formation and number of prior FESS procedures. Polymicrobial cultures, Pseudomonas aeruginosa, and/or Staphylococcus aureus comprised 71% of samples. Chi-squared analysis showed an association with prior infections, but not with any pharmacologic therapy or comorbidies. CONCLUSION: We show a high percentage of CRS patients (28.6%) whose sinonasal mucopurulence has biofilm-forming capacity. Postsurgical patients had a high prevalence of biofilm-forming bacteria, a possible reflection of the severe nature of their disease. Additional studies are warranted.
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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 | 0.001 |
| 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 it