Does Postmenstrual Age Affect Medical Patent Ductus Arteriosus Treatment Success in Preterm Infants?
Bibliographic record
Abstract
OBJECTIVE: Patent ductus arteriosus (PDA) is the most common cardiovascular problem of prematurity. Our objective was to examine the effect of postmenstrual age (PMA) on response to medical PDA treatment. STUDY DESIGN: This retrospective cohort study included infants ≤ 32 weeks' gestational age (GA) who received nonsteroidal anti-inflammatory drugs (NSAIDs) for PDA treatment. Response was positive if echocardiogram showed closed or small PDA or no further treatment was required. Baseline characteristics between responders and nonresponders were compared. Multivariable logistic regression analysis with generalized estimating equations was used to analyze the association between PMA and response. RESULTS: A total of 183 infants with a mean GA of 26.4 ± 2.2 weeks and birth weight of 870 ± 313 g received 257 courses of NSAIDs. Positive response rate to the first course was 65.6%. Two and three courses were given in 62 and 12 infants, with response rates of 48.4 and 50%, respectively. Surgical ligation of PDA occurred in 30 (16.4%) infants. Multivariable logistic regression analysis with generalized estimating equations revealed that PMA was not associated with a positive response (adjusted odds ratio [aOR]: 0.88; 95% confidence interval [CI]: 0.71-1.10). GA at birth remained the most influential factor (aOR: 1.33; 95% CI: 1.02-1.73). CONCLUSION: GA rather than PMA is the strongest predictor for a positive response in medical PDA treatment.
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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 | 0.001 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| 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 | 0.001 | 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".