Effective treatment of a child with adenoidal hypertrophy and severe asthma by omalizumab: a case report
Bibliographic record
Abstract
BACKGROUND: Childhood adenoid hypertrophy (AH) is common and is often associated with allergic asthma, resulting in complications like obstructive sleep apnea syndrome (OSAS). Management of the disease and its complications is often challenging. CASE PRESENTATION: We report here a case of a 10-year-old boy who suffered from severe allergic asthma and rhinitis and was treated with omalizumab. Before the treatment, the childhood asthma control test (C-ACT, 14), visal analog scale (VAS, 7) and lung function (mild obstructive ventilation dysfunction and moderate to severe dysfunction in ventilation in small airway) were seriously affected. Polysomnography showed OSAS (apnea hypopnea index, AHI, 6.4), low hypooxia saturation (lowest pulse oxygen saturation, LoSpO2, 70%), and adenoid hypertrophy (at grade III). After treating with omalizumab for 4 weeks (once treatment), the ventilation function, symptoms of asthma and allergic rhinitis (C-ACT, 24; VAS, 2), and OSAS (AHI: 1.8 and LoSpO2: 92.6%) were all improved, and the adenoids size was also significantly reduced to grade II. And during the following 3 times of treatment, the allergic symptoms continued improving, and the size of adenoid was reduced to grade I. Even 6.5 months after cessation of omalizumab, the size of adenoid remained at grade I. CONCLUSION: This is the first documented case that childhood adenoid hypertrophy can be significantly improved by omalizumab.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.006 | 0.003 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".