Outcomes of a Modified Treatment Ladder Algorithm Using Retrobulbar Amphotericin B for Invasive Fungal Rhino-Orbital Sinusitis
Bibliographic record
Abstract
PURPOSE: To assess whether a modified treatment ladder algorithm incorporating transcutaneous retrobulbar amphotericin B (TRAMB) for invasive fungal rhino-orbital sinusitis can reduce the risk of exenteration without compromising survival. DESIGN: Retrospective, comparative clinical study with historical control subjects. METHODS: Fifty consecutive patients with biopsy-proven invasive fungal sinusitis and radiographic evidence of orbital involvement were evaluated at a single tertiary institution from 1999-2020. TRAMB was incorporated as part of the treatment algorithm in 2015. Demographics, underlying immune derangement, infective organism, ophthalmic examination, surgical care, and survival were compared in a quasiexperimental pre-post format, dividing patients into a pre-2015 group and a post-2015 group. Risk of exenteration and mortality were the primary outcomes. RESULTS: Baseline characteristics did not differ significantly between the 2 groups. Nearly all patients underwent a surgical intervention, most commonly functional endoscopic sinus surgery with debridement. TRAMB was administered to 72.7% of the post-2015 group. Exenteration was more common in the pre-2015 group (36.4% vs 9.1% [95% confidence interval {CI} 5.2-48.8]; P = .014), while mortality was similar (40.0% vs 36.7% [95% CI -22.1 to 29.3]; P = .816). After adjusting for potential confounders, patients treated after 2015 were found to have lower risk of exenteration (relative risk 0.28 [95% CI 0.08-0.99]; P = .049) and similar risk of mortality (relative risk 1.04 [95% CI 0.50-2.16]; P = .919). CONCLUSION: Compared with historical control subjects, patients with invasive fungal rhino-orbital sinusitis who were treated with a modified treatment ladder algorithm incorporating TRAMB had a lower risk of disfiguring exenteration without an apparent increase in the risk of 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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.000 | 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".