Effects of antenatal dexamethasone on postnatal serum cortisol levels in late preterm infants
Bibliographic record
Abstract
Objectives To explore whether antenatal dexamethasone impacts postnatal serum cortisol levels in stable late preterm (LPT) infants. Secondary outcomes were to identify short-term hospital outcomes related to antenatal dexamethasone exposure.Methods A prospective cohort study of serial serum cortisol levels in LPT infants within 3 h of birth, and at 1, 3, and 14 postnatal days. Serum cortisol levels were compared between infants exposed to antenatal dexamethasone >3 h and <14 days prior to delivery (aDex) and those who either did not receive dexamethasone or were exposed < 3 h or >14 days prior to delivery (no-aDex).Results Thirty-two LPT infants (aDex) were compared with 29 infants (no-aDEX). Group demographic characteristics were similar. Serum cortisol levels were identical between the groups at all 4-time points. Cumulative antenatal dexamethasone exposure ranged from 0 to 12 doses. Post-hoc analysis of the 24-hour serum cortisol levels indicated a significant difference between 1 to 3 cumulative doses versus 4 or more doses (p = .01). Only 1 infant in the aDex group had a cortisol level <3rd percentile of the reference value. Rates of hypoglycemia (absolute difference [95% CI] − 1.0 [–16.0,15.0]; p = .90) and mechanical ventilation were similar in both groups (absolute difference [95%CI] − 0.3 [–9.3,8.7]; p = .94). No deaths occurred.Conclusion Antenatal dexamethasone administered 14 days prior to delivery did not affect serum cortisol levels and short-term hospital outcomes in stable LPT infants. Exposure to low cumulative doses of dexamethasone resulted in transient low serum cortisol levels compared to 4 or more doses only at 24-hours.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 | 0.000 |
| 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".