POS1107 TIMING OF MATERNAL DEXAMETHASONE AND PREGNANCY OUTCOMES IN ANTI-SSA/Ro POSITIVE PREGNANCIES
Bibliographic record
Abstract
Background: Maternal administration of dexamethasone is believed to improve outcomes in pregnancies complicated by congenital heart block (CHB) associated with anti-SSA/Ro antibodies. However, it is not known if the timing of dexamethasone administration may influence its efficacy. Objectives: We conducted a systematic literature review to investigate the relationship between the timing (week of gestation) of maternal dexamethasone administration and neonatal outcomes in anti-SSA/Ro-positive pregnancies complicated by congenital heart block. Methods: The review was based on the 2020 PRISMA guidelines. Databases searched were PubMed, OVID, Medline and Web of Science (from 1991 to present) with terms "dexamethasone," "neonat*", "death", "admin*" and "pregnan*", "anti-Ro". Data was collected in a pre-established collection form. Cases were categorized into two groups: <24 weeks (Group A) and ≥24 weeks of gestation (Group B, 32 cases). Primary outcomes included neonatal survival rates (1-year follow-up), pacemaker requirements and resolution of hydrops. Descriptive statistics were used. Results: We retrieved 12 studies (out of 204 screened) reporting on 80 cases. Dexamethasone was administered orally at doses of 4-12 mg/day until delivery. Group A (<24 weeks, n=48) had a higher survival rate (89.6%) compared to Group B (≥24 weeks, n=32, 84.4%), although not statistically significant. Pacemaker requirements were significantly lower in Group A (45.8% vs. 78.1%, p=0.004). There was no significant difference in the survival rates in cases with hydrops in Group A and B (p = 0.74). Primary end-points are shown in Figure 1. Figure 1Primary end-points (survival, pacemaking and hydrops) in Group A (<24 weeks of gestation) and group B (≥24 weeks of gestation). Conclusion: Early initiation of dexamethasone (<24 weeks) in anti-SSA/Ro-positive pregnancies improves neonatal outcomes by reducing pacemaker dependency. There were no significant differences regarding survival at 1 year and hydrops. These findings highlight the need for early monitoring and proactive management of at-risk pregnancies. Future strategies and studies should focus on enhanced screening protocols, early fetal monitoring, and the use of biomarkers suggestive of heart block to overcome barriers to timely intervention. REFERENCES: NIL . Acknowledgements: NIL . Disclosure of Interests: Alexandra Rechichi: None declared, Ashton Dugal: None declared, Irina Petrovic: None declared, Konstantinos Tselios AstraZeneca, GSK, Roche, UCB, Novartis, AstraZeneca, GSK, Fresenius Kabi. © The Authors 2025. This abstract is an open access article published in Annals of Rheumatic Diseases under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Neither EULAR nor the publisher make any representation as to the accuracy of the content. The authors are solely responsible for the content in their abstract including accuracy of the facts, statements, results, conclusion, citing resources etc.
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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 | 0.003 | 0.018 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.004 | 0.003 |
| Bibliometrics | 0.005 | 0.007 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".