Home oxygen therapy for Thai preterm infants with bronchopulmonary dysplasia. What are the predictive factors for successful weaning: a 20-year review
Bibliographic record
Abstract
BACKGROUND: Consequences of lung injury and inflammation in preterm infants with bronchopulmonary dysplasia (BPD) contribute to prolonged oxygen requirements. Home oxygen therapy (HOT) is an alternative way of respiratory support in infant with BPD. However, there is no consensus on weaning guidelines. Our objective is to identify the median age of HOT discontinuation and the factors that might predict the duration of HOT in a resource poor country. METHODS: All preterm (≤ 36 weeks' gestation) infants diagnosed with BPD who required HOT after discharged from Ramathibodi Hospital during January 2000 - December 2019 comprised this retrospective study. Timing of HOT withdrawal was identified. Demographic data, severity of BPD, maternal condition, respiratory support, comorbidities, complications, and growth were recorded and analyzed as factors associated of home oxygen withdrawal. RESULTS: Of 8581 preterm infants born during the 20-year period, 563 (6.6%) had BPD. Among 40 infants treated with HOT, 18 (45%) were successfully weaned from oxygen within 12 months. The median corrected age (CA) of oxygen withdrawal was 13.8 months (8.5, 22.1). Longer duration of total respiratory support, longer length of hospital stay and poor growth determined by weight, length and head circumference were associated with longer duration of HOT. Greater weight gain was associated with a shorter duration of HOT at 12 months CA (adjusted OR, 1.97; 95% CI, 1.13-3.23; p = 0.015). CONCLUSIONS: The median corrected age of oxygen withdrawal in Thai BPD infants was 13.8 months. Severe BPD and poor linear growth were associated with prolonged HOT.
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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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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".