Outcomes of Newborn Infants With Pulmonary Hypertension Treated With Oral Sildenafil
Bibliographic record
Abstract
Background: Persistent pulmonary hypertension of the newborn (PPHN) is a disease with a high mortality rate. The incidence of PPHN is approximately 0.8 per 1,000 live births. Inhaled nitric oxide remains the treatment of choice, but in areas where inhaled nitric oxide is not available, sildenafil citrate is considered the best alternative vasodilator. We conducted this study to investigate the efficacy of oral sildenafil in treating neonatal pulmonary hypertension. Methods: This is a retrospective study of all newborns diagnosed with PPHN who received oral sildenafil over an 8-year period. Results: A total of 27 newborns were included in the study. The most common primary disease was respiratory distress syndrome. The mortality rate was 44.4%; all newborns with cardiovascular shock at presentation died. Conclusions: Oral sildenafil is a promising medication that can help neonates with mild to moderate PPHN in hospital units where inhaled nitric oxide is not available. Development of a treatment protocol to standardize the care of such infants will positively impact outcomes. Int J Clin Pediatr. 2019;8(2):27-31 doi: https://doi.org/10.14740/ijcp349
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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 |
| 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".