Resolution of mucus plugging and atelectasis after intratracheal rhDNase therapy in a mechanically ventilated child with refractory status asthmaticus
Bibliographic record
Abstract
OBJECTIVE: To report the dramatic resolution of unilateral mucus plugging and atelectasis in a mechanically ventilated child with refractory status asthmaticus after intratracheal recombinant human DNase (rhDNase) therapy. DESIGN: Case report. SETTING: Critical care unit. PATIENT: A 7-yr-old boy with status asthmaticus, severe respiratory failure and barotrauma unresponsive to conventional therapy. Fiberoptic bronchoscopy confirmed widespread mucus impaction of the subsegmental bronchi of the left lung without response to bronchoscopic lavage. INTERVENTIONS: Two 10-mg doses of intratracheal rhDNase were administered 8 hrs apart. MAIN RESULTS: The left-sided atelectasis resolved 3 hrs after the first dose of rhDNase. Improvements in gas exchange and tidal volumes were sustained and particularly noticeable after the second dose. The patient was successfully extubated 26 hrs after receiving the rhDNase treatment without any adverse effects. CONCLUSIONS: rhDNase should be considered as a potential therapy for refractory mucus plugging and atelectasis in intubated patients with status asthmaticus.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.002 | 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".