Ceftazidime Poloxamer Gel: Expanding the Therapeutic Armamentarium for Ciprofloxacin-Resistant Pseudomonas Mastoid Cavity Otorrhea
Bibliographic record
Abstract
OBJECTIVE: To present and evaluate the treatment of ciprofloxacin-resistant Pseudomonas mastoid cavity otorrhea with a ceftazidime thermosensitive poloxamer gel. STUDY DESIGN: A retrospective clinical capsule report. PATIENTS: Three patients diagnosed with ciprofloxacin-resistant Pseudomonas otorrhea in the setting of a previous canal-wall-down mastoidectomy between March 2019 and June 2023 visiting our tertiary care institution were retrospectively reviewed. INTERVENTION: Application of a 2% ceftazidime thermosensitive poloxamer gel to mastoid cavity. MAIN OUTCOME MEASURES: No evidence of disease during microscopic inspection of the ear within a month of initial treatment or bacterial eradication on subsequent culture. RESULTS: Two patients had complete resolution of symptoms and achieved a safe and dry ear after topical application of the hydrogel. The second patient had pseudomonal eradication on culture, but persistent otorrhea due to other multidrug-resistant bacteria and an anatomically unfavorable mastoid cavity, which ultimately resolved after revision surgery. CONCLUSIONS: This small case series suggests that topical treatment of mastoid cavity otorrhea with a 2% ceftazidime poloxomer gel is a potential therapeutic avenue in patients with ciprofloxacin-resistant Pseudomonas .
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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) | 0.000 | 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 | 0.000 |
| 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".