Practice of Intratracheal and Inhaled Recombinant Human Deoxyribonuclease (rhDNase) Therapy in Neonates with Persistent Atelectasis: A Rescue Treatment
Bibliographic record
Abstract
Objective: Atelectasis increases the risk of secondary pulmonary infections related with prolonged artificial ventilation. Therefore, it requires early and aggressive treatment in newborns cared in neonatal intensive care units (NICUs). Current treatment of atelectasis consists of certain conventional modalities. However, there is still no evidence-based, ''gold standard'' treatment. Use of recombinant human deoxyribonuclease (rhDNase) is a new concept in NICUs. In this study, we aimed to compare and evaluate the clinical and radiological changes in infants who received nebulized or intratracheal rhDNase for persistent atelectasis unresponsive to conventional treatment options. Material and Methods: This study was conducted in 23 newborns hospitalized at the NICU of Dr. Behcet Uz Children's Hospital. Twelve intubated patients received 1.25 mg rhDNase mixed with 1:1 0.9% saline intratracheally, whereas 11 non-intubated patients received the drug via a jet nebulizer. A second dose was administered 4 hours after the initial dose. Chest physiotherapy and tracheal aspiration was performed 1 hour after the second dose. The same protocol was repeated on the second day. Clinical and radiological responses were evaluated separately. Results: Positive radiological and clinical responses to rhDNase and recurrence of atelectasis in the whole study group were 78.3%, 56.3% and 16.7% respectively. Nebulized route was more successful than the intratracheal route. Response to rhDNase was better in cases with upper lung lobe involvement. Conclusion: Both nebulized and intratracheal rhDNase administrations are successful without any adverse reactions for the treatment of persistent atelectasis, especially in neonates with viscous secretions and pneumonia with upper lobe atelectasis.
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) | 0.000 | 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) | 0.000 | 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".