DOES THE TIMING OF MEDICAL TREATMENT OF PATENT DUCTUS ARTERIOSUS (PDA) HAVE AN IMPACT ON THE SUCCESS OF TREATMENT IN PRETERM INFANTS?
Bibliographic record
Abstract
Abstract BACKGROUND Hemodynamically significant patent ductus arteriosus (hsPDA) is the most common cardiovascular problem of prematurity often treated with nonsteroidal anti-inflammatory drugs (NSAIDs-indomethacin and ibuprofen). There is limited data on the effect of postmenstrual age (PMA) at the time of start of treatment on response rates to NSAIDs in preterm infants with hsPDA. OBJECTIVES The objective of our study was to examine the effect of PMA at the start of treatment on response to NSAIDs in hsPDA. DESIGN/METHODS In this retrospective cohort study, we included infants with gestational age (GA) ≤ 32 weeks admitted to a tertiary NICU between January 2014 and December 2016, who had received one or more doses of NSAIDs for the treatment of hsPDA. Positive response (responders) to NSAIDs was considered if post treatment echocardiogram showed that PDA was either closed or small, and did not require further medical or surgical treatment. We compared baseline characteristics between responders and non-responders using univariate and multivariable logistic regression. RESULTS A total of 183 infants received 257 courses (one, two and three courses in 183, 62 and 12 neonates respectively) of NSAIDs. Positive response rate was overall 60%, and 66%, 48%, and 50% for the first, second, and third course respectively. The baseline characteristics were comparable between responders and non-responders except for higher GA, birth weight (BW), and earlier (<14 days of life) start of NSAIDs in responders. After adjusting for BW, Apgar score and gender, GA at birth but not the PMA, was associated with positive response to NSAIDs (aOR 1.24, 95% CI 1.07, 1.42 for GA; aOR 0.92, 95% CI 0.79, 1.07 for PMA). Early NSAIDs treatment was associated with increased odds of PDA closure (aOR 1.95; 95% CI 1.00–3.8). CONCLUSION Gestational age is the strongest predictor for response to NSAIDs in hs-PDA and PMA at treatment does not affect efficacy of NSAIDs.
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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 | 0.015 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".