Association between antenatal corticosteroids and neonatal outcomes among very preterm infants born to mothers with hypertensive disorders of pregnancy: a multicenter cohort study
Bibliographic record
Abstract
BACKGROUND: The relationship between antenatal corticosteroids (ACS) and preterm infants born to mothers with hypertensive disorders of pregnancy (HDP) remains a subject of debate. To evaluate whether the use of ACS before delivery was associated with neonatal outcomes in very preterm infants born to mothers with HDP. METHODS: This multicenter cohort study enrolled all infants with gestational age at 24 to 31 week and admitted to tertiary NICUs of the Chinese Neonatal Network (CHNN) within 24 h of birth from 2019 to 2021. ACS administration was defined as at least one dose of dexamethasone or betamethasone before delivery. The primary outcome was surfactant and/ or invasive mechanical ventilation (IMV) within 72 h of life. Multivariable logistic regression analyses were performed to assess the association between ACS and neonatal outcomes. RESULTS: Among the 4,582 study infants born to mothers with HDP, 3,806 (83.1%) were exposed to ACS. ACS treatment was significantly associated with lower risk of requirement of surfactant and/ or IMV within 72 h of life (adjusted Odds Ratio = 0.60, 95% confidence interval 0.49-0.74). ACS exposure was also independently associated with decreased mortality, surfactant use, IMV, combined surfactant and IMV use and moderate or severe bronchopulmonary dysplasia. The severity of maternal HDP did not appear to influence the correlation between ACS treatment and neonatal outcomes. Our analysis also indicated that a single complete course seemed to have the most significant protective effect. CONCLUSIONS: Our study reinforces the significant role of ACS in reducing severe respiratory morbidity and mortality in very preterm infants born to mothers with HDP.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".