80: Treatment of Pulmonary Arterial Hypertension Using Sildenafil in Neonates with Bronchopulmonary Dysplasia
Bibliographic record
Abstract
Sildenafil citrate, a phosphodiesterase-5-inhibitor, is a controversial treatment option for pulmonary arterial hypertension (PHT), a significant complication of bronchopulmonary dysplasia (BPD).There is scarce data in premature infants. Evaluate the use of sildenafil citrate in infants with BPD complicated by PHT. Retrospective cohort study in a level 3 NICU. All medical records of premature infants with PHT secondary to BPD treated with sildenafil citrate between January 2009 and May 2013 were reviewed. Primary outcomes were: Clinical response with 20% decrease in: respiratory support score or FiO2 requirements Echocardiographic response with decrease in tricuspid regurgitation gradient (at least 20%) or septal flattening (at least one degree) Twenty three infants (61% male) with a median (IQR) gestational age of 26 weeks (23 to 30weeks) and birth weight of 710 g (480 g to 1170 g) were included. Antenatal data is marked by presence of chorioamnionitis (17%), oligohydramnios (22%), intrauterine growth retardation (39%) and premature rupture of membranes (39%). Neonatal course included: confirmed sepsis (48%), grade 2 or more necrotizing enterocolitis (32%), stage 3 retinopathy of prematurity (ROP) (56%) and patent ductus arteriosus (78%). Pharmacologic data, benefits and side effects are represented in the table. Sildenafil citrate treatment for patients with PHT
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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 | 0.000 | 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 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".