Estradiol in Severe Asthma with Premenstrual Worsening
Bibliographic record
Abstract
OBJECTIVE: To describe the beneficial effects of estradiol in a severely asthmatic woman with premenstrual worsening of asthma. CASE SUMMARY: A 50-year-old white woman, with a 14-year history of severe steroid-dependent asthma and monthly premenstrual worsening of asthma, was randomized to receive estradiol 2 mg or placebo for 6 days during the late luteal phase (days 23-28) of 2 successive menstrual cycles. Despite greater prednisone and inhaled beta-agonist use during the late luteal phase of the placebo cycle, the patient exhibited improved asthma symptoms, pulmonary function, and peak expiratory flows, as well as lower values for biomarkers of airway inflammation during the same time period of the estradiol cycle. DISCUSSION: This subject's response to estradiol was in contrast to results of a randomized, controlled trial involving patients with predominantly mild asthma under excellent control. The discrepant observations for this case versus the majority of subjects in the randomized, controlled study suggest that premenstrual asthma (PMA) and a beneficial response to estradiol may be more likely in women with severe asthma. CONCLUSIONS: The administration of estradiol during the late luteal phase of the menstrual cycle to a woman with severe asthma with PMA was associated with improved asthma symptoms, pulmonary function, and peak expiratory flows, and lower serum eosinophil protein X and urinary leukotriene E(4) biomarker concentrations. Thus, estradiol's potential role in women with severe asthma and PMA may warrant further exploration in this subgroup.
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 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) | 0.000 | 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) | 0.001 | 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 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".