Omalizumab treatment of moderate to severe asthma in the adolescent and pediatric population
Bibliographic record
Abstract
In Canada and the US, omalizumab is indicated for adults and adolescents (>12 years of age) with moderate to severe persistent allergic asthma. In the EU, omalizumab has been approved for children (age 6 – 11 years) since 2009. The pediatric population within Canada and the United States has very few treatment options available for severe asthma. Current treatments options can lead to other health concerns such as adrenal insufficiency and osteoporosis. These cases demonstrate that early treatment of moderate to severe asthma with omalizumab is an effective treatment and can help to prevent or reverse damage done by long-term use of other treatment options. A retrospective chart review of our database was performed and patients ≤ 17 years of age receiving omalizumab treatment were evaluated. Data was collected on FEV 1 , inhaled corticosteroid (ICS) and oral corticosteroid (OCS) use. 12 patients were identified as 17 years old or younger at the start of treatment with omalizumab. After the first 6 months of treatment, all 12 patients showed an increase in FEV1 results and a decrease in ICS dose. Results also indicated a decrease in OCS use for those patients taking daily dose as well as those who required periodic bursts to control asthma exacerbations. Early treatment of moderate to severe asthma with omalizumab in adolescent/pediatric patients may improve quality of life and help prevent health concerns associated with side effects and/or long term use of ICS and OCS in growing children. Juvenile osteoporosis can be a significant problem because it occurs during the prime bone-building years and may lead to reduced peak bone mass and increased risk for osteoporosis later in life. Regular re-evaluation of the treatment regime to ensure the use of the lowest effective dose of corticosteroids and consideration of other treatments would also be beneficial.
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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 | 0.001 | 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) | 0.002 | 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".