Assessing the Role of Nasal Irrigation in Chronic Otorrhea in Children With Tympanostomy Tubes
Bibliographic record
Abstract
Importance Nasal irrigation (NI) is effective in the treatment of sinonasal disease; however, its efficacy in treating otologic conditions is undetermined. Chronic otorrhea (CO) is an important complication in children with tympanostomy tubes (TT), requiring additional treatment. Objective Determine potential factors of NI that put children with TT at risk of developing CO. Study design Case-control study. Setting Single tertiary level of care pediatric hospital. Participants Consecutive patients under the age of 18 with bilateral TT presenting between June and September 2023 were selected. Intervention All patients in this study used NI. Main outcome measures The main outcome was the development of CO, defined as 10 or more consecutive days of ear drainage despite proper treatment. Results Twenty consecutive patients with CO were recruited and compared to 100 consecutive controls without CO. The mean age was similar, with 22.9 ± 18.4 months for the CO group and 25.2 ± 16.4 months for the control group ( P = .59). An immediate discharge occurred more frequently in the CO group (80%) than in the control group (46%, P = .005; OR: 4.70; 95% CI: 1.5-13.5). A fast rate of administration of NI was more prevalent in the CO group (75%) compared to the control group (51%, P = .049; OR: 2.88; 95% CI: 1.0-7.6). TT insertion under local anesthesia occurred more frequently in the CO group (45%) than in the control group (22%, P = .03; OR: 2.9; 95% CI: 1.1-7.4). No statistical difference was found between groups in the frequency and volume of NI. No patients with CO used a small volume of NI (≤5 mL). Conclusion and relevance A fast rate of administration of NI was correlated with an increased risk of CO. Patients should be encouraged to apply gentle pressure as it could potentially prevent this complication.
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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 | 0.002 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".