9 The Burden of Bronchopulmonary Dysplasia and Pulmonary Vascular Disease in Premature Infants
Bibliographic record
Abstract
Abstract Primary Subject area Neonatal-Perinatal Medicine Background Extremely premature infants are at a high risk of bronchopulmonary dysplasia (BPD) and BPD-associated pulmonary hypertension (PH). Prolonged patency of the ductus arteriosus (PDA) may worsen PH; however, due to the lack of evidence supporting improvement in outcomes after strategies to promote ductal closure, our center has adopted a strict non-intervention policy since 2013. Objectives Assess PH prevalence and severity, as well as the impact of BPD on echocardiographic parameters of cardiac performance. Design/Methods Retrospective cohort of infants <29 weeks gestational age at birth, admitted between 2015 and 2019, and without genetic/congenital anomalies. Measurements from the echocardiography acquired closest to 36 weeks were done by masked experts. Severe BPD was defined as positive pressure support at 36 weeks. PH was defined as an estimated systolic pulmonary pressure (SPAP) ≥40 mmHg or an abnormal septal curvature by eccentricity index (EI) (>1.3). Results Out of 387 infants, 222 were included, of which 27 (12%) were categorized as severe BPD and 78 (35%) had PH. Severe BPD was associated with lower birth weight (704±214 vs 842±229g, p<0.01), longer hospitalization (median 138 [IQR 108-167] vs 103 [IQR 86-125] days, p<0.01) and longer mechanical ventilation duration (median 82 [IQR 33-107] vs 17 [IQR 2-32] days, p<0.01), with no difference in gestational age at birth. Severe BPD was associated with PH (70% vs 43%, p<0.01). The combined outcome of death (after the 36 weeks echocardiography) or severe BPD was associated with PH (68% vs 30%, p<0.01), smaller left ventricle length in diastole (2.8±0.5 vs 3.0±0.5 cm, p=0.03), decrease in the tricuspid annular plane systolic excursion (0.7±0.2 vs 0.9±0.2 cm, p<0.01), abnormal EI (1.31±0.25 vs 1.17±0.18, p<0.01) and smaller right ventricle fraction area change (41.3±5.8 vs 47.8±7.6%, p<0.01), without a significant increase on SPAP (35±21 vs 35±14, p=0.15). Other echocardiographic markers were similar. Conclusion In the context of a PDA non-intervention policy, a third of our population was affected by PH at 36 weeks. Furthermore, those with severe BPD or death had signs of RV dysfunction (despite similar SPAP estimate), indicating that the effect of BPD on pulmonary vascular remodelling and cardiac function may be underestimated.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".