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Record W4416181643 · doi:10.1097/aog.0000000000006121

Maternal and Neonatal Outcomes After Respiratory Syncytial Virus Prefusion F Protein Vaccination During Pregnancy

2025· article· en· W4416181643 on OpenAlexaff
A. Gabet, Marion Bertrand, Marie-Joëlle Jabagi, Epiphane Kolla, Valérie Olié, Mahmoud Zureik

Bibliographic record

VenueObstetrics and Gynecology · 2025
Typearticle
Languageen
FieldMedicine
TopicRespiratory viral infections research
Canadian institutionsCapital District Health Authority
Fundersnot available
KeywordsVaccinationPregnancyObservational studyVirusRespiratory systemAdverse effectAntibodyGestationMonoclonal antibody

Abstract

fetched live from OpenAlex

OBJECTIVE: To assess the safety of the respiratory syncytial virus prefusion F protein (RSVpreF) vaccine in pregnant women during the 2024-2025 French immunization campaign, with a particular focus on the risk of preterm birth. METHODS: Using the national health care database, which covers almost 99% of the population in France, we included all women who gave birth after 22 weeks of gestation between September 16 and December 31, 2024. Women vaccinated with RSVpreF were matched 1:1 with unvaccinated women on the basis of gestational age at vaccination, maternal age at pregnancy onset, region of residence, week of conception, history of preterm birth, influenza vaccination during the same pregnancy, and multiple pregnancy. Outcomes included preterm birth, delivery within 1 and 3 weeks after vaccination, stillbirth, small-for-gestational-age (SGA) birth weight, cesarean delivery, hemorrhage, preeclampsia, and major cardiovascular events, including maternal death. Time-to-event analyses were conducted with Poisson regression models with robust variance to estimate weighted incidence rate ratios (IRRs) and their 95% CIs for each outcome. RESULTS: Among the 29,032 women vaccinated during the study period, 24,891 (85.7%) were successfully matched to 24,891 unvaccinated women in a control group. In the matched cohort, the mean±SD maternal age was 30.9±5.0 years, 3.2% had a history of preterm birth, 0.6% had multiple pregnancies, and 21.8% had received influenza vaccination. No significant increase in the risk of the following outcomes was observed: preterm birth (weighted IRR 0.97, 95% CI, 0.89-1.06), delivery within 1 week (weighted IRR 0.81, 95% CI, 0.72-0.90) or within 3 weeks (weighted IRR 0.97, 95% CI, 0.93-1.00), stillbirth (weighted IRR 0.77, 95% CI, 0.45-1.32), cesarean delivery (weighted IRR 1.00, 95% CI, 0.96-1.03), SGA birth weight (weighted IRR 1.01, 95% CI, 0.96-1.07), postpartum hemorrhage (weighted IRR 1.03, 95% CI, 0.97-1.10), preeclampsia (weighted IRR 1.02, 95% CI, 0.85-1.22), or major adverse cardiovascular event (weighted IRR 0.60, 95% CI, 0.26-1.40) outcomes. Among women vaccinated at or before 32 weeks of gestation, no significant increase in the risk of preterm birth was observed (weighted IRR 1.13, 95% CI, 0.98-1.31). CONCLUSION: This large observational study found no major safety concerns associated with RSVpreF vaccination during pregnancy. Further research, including international comparisons and evaluations of effectiveness relative to monoclonal antibodies against RSV, will be needed to fully characterize the benefit-risk balance of RSVpreF. Ongoing surveillance remains essential, particularly to monitor rare adverse events.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.017
GPT teacher head0.312
Teacher spread0.295 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations7
Published2025
Admission routes1
Has abstractyes

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