Endoscopic sinus surgery outcomes in patients with chronic rhinosinusitis and immunoglobulin deficiencies
Bibliographic record
Abstract
BACKGROUND: Patients with chronic rhinosinusitis (CRS) and immunoglobulin deficiencies (ID) have more recalcitrant sinonasal disease and a subset of these patients undergo surgical management for their CRS. However, there is a paucity of literature on the surgical outcomes in this patient population and appropriate treatment algorithms for CRS in patients with ID. The objective of this study was to better elucidate the outcomes of endoscopic sinus surgery (ESS) in patients with ID in terms of disease-specific quality-of-life scores and the need for revision surgery. METHODS: A case-control study was performed comparing adult patients with ID and healthy controls that had undergone ESS for CRS. Patients were matched based on age, sex, CRS phenotype, and preoperative Lund-Mackay score. The revision surgery rates, time to revision surgery, and changes in sinonasal outcome tests (SNOT-22) were evaluated. RESULTS: Thirteen patients with CRS and ID were matched to 26 control patients with CRS. The revision surgery rate for cases and controls was 31% and 12%, respectively, but there was no statistical difference (p > 0.05). There was a clinically meaningful reduction in SNOT-22 scores in both groups from the preoperative to postoperative period [mean of 12 points in patients with ID (p = 0.323) and 25 points in controls (p < 0.001)], however, there was again no significant difference between cases and controls (p > 0.05). CONCLUSION: Our data suggests that patients with ID have clinically meaningful improvement in SNOT-22 scores after ESS but may have higher revision rates than immunocompetent patients with CRS. ID are rare disease entities, thus most attempts at studying this cohort would be limited by sample size. Further homogenous data on immunoglobulin deficient patients is required for future meta-analysis to better understand the impact of ESS in patients with ID.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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".