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Record W4417361785 · doi:10.1001/jama.2025.21001

The Role of Vaccination in Maternal and Perinatal Outcomes Associated With COVID-19 in Pregnancy

2025· article· en· W4417361785 on OpenAlexaffabout
Elisabeth McClymont, Sandra Blitz, Lucia Forward, Sara Cole, Gillian D. Alton, Isabelle Boucoiran, Krista Cassell, Eliana Castillo, Joan Crane, Verena Kuret, Gaetane Leblanc Cormier, Phil Murphy, Vanessa Poliquin, Sarah Saunders, Heather Scott, Prakesh S. Shah, John W. Snelgrove, Ann E. Sprague, Mark H. Yudin, Deborah Money

Bibliographic record

VenueJAMA · 2025
Typearticle
Languageen
FieldMedicine
TopicCOVID-19 Impact on Reproduction
Canadian institutionsUniversity of ManitobaUniversity of TorontoSt. John’s Health Sciences CentreMemorial University of NewfoundlandNewfoundland and Labrador Centre for Applied Health ResearchDalhousie UniversityUniversité de MontréalOntario Stroke NetworkMount Sinai HospitalUniversity of CalgaryChildren's Hospital of Eastern OntarioGovernment of New BrunswickYukon UniversityUniversity of British Columbia
Fundersnot available
KeywordsVaccinationPregnancyDiseasePremature birthGestationMEDLINE

Abstract

fetched live from OpenAlex

Importance: Gaps in knowledge exist about the impact of COVID-19 and vaccination on pregnancy outcomes. Objective: To investigate the impact of vaccination on maternal and perinatal outcomes associated with SARS-CoV-2 infection in pregnancy. Design, Setting, and Population: Population-level surveillance of pregnant individuals infected with SARS-CoV-2 and their infants using the CANCOVID-Preg database between April 5, 2021 (beginning of the Delta variant time period and initiation of recommendations for vaccination in pregnancy in Canada), and December 31, 2022. Cases were identified based on COVID-19 diagnoses in pregnancy in 9 of 13 Canadian provinces/territories. Cases occurring through 2022 were followed up into 2023 for pregnancy conclusion and infant outcomes. Exposure: SARS-CoV-2 infection in pregnancy, with or without prior vaccination. Main Outcomes and Measures: COVID-19-associated hospitalization, critical care unit admission, and preterm birth. Results: Of 26 584 cases identified, 19 899 cases were eligible for analysis. Among these, most infections occurred among those aged 30 to 35 years (46.3%) and among those of White race (55.9%). A total of 72% (n = 14 367) of cases were vaccinated and 28% (n = 5532) were unvaccinated prior to their COVID-19 diagnosis. Among those vaccinated prior to COVID-19 diagnosis, 80% (n = 11 425) were vaccinated prior to pregnancy and 20% (n = 2942) were vaccinated during pregnancy. Cases occurred during both Delta (n = 6120) and Omicron (n = 13 799) variant time periods. Vaccination was associated with lower risk of hospitalization (Delta: relative risk [RR], 0.38 [95% CI, 0.30-0.48]; absolute risk difference [ARD], 8.7% [95% CI, 7.3%-10.2%]; Omicron: RR, 0.38 [95% CI, 0.27-0.53]; ARD, 3.8% [95% CI, 2.4%-5.2%]), critical care unit admission (Delta: RR, 0.10 [95% CI, 0.04-0.26]; ARD, 2.4% [95% CI, 1.8%-2.9%]; Omicron: RR, 0.10 [95% CI, 0.03-0.29]; ARD, 0.85% [95% CI, 0.27%-1.44%]), and preterm birth (Delta: RR, 0.80 [95% CI, 0.66-0.98]; ARD, 1.8% [95% CI, 0.3%-3.4%]; Omicron: RR, 0.64 [95% CI, 0.52-0.77]; ARD, 4.1% [95% CI, 2.0%-6.2%]). In multivariable analyses, vaccination was still associated with lower hospitalization risk in both variant time periods after controlling for comorbid conditions. In Omicron, compared with the vaccinated group, those unvaccinated had an adjusted RR of hospitalization of 2.43 (95% CI, 1.72-3.43). In Delta, those unvaccinated had an adjusted RR of hospitalization of 3.82 (95% CI, 2.38-6.14). Conclusions and Relevance: Vaccination against SARS-CoV-2 prior to and during pregnancy, before COVID-19 diagnosis, was associated with a lower risk of severe maternal disease and preterm birth regardless of variant time period.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation 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 score0.039
Threshold uncertainty score0.280

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.011
GPT teacher head0.316
Teacher spread0.305 · 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 teacher head, 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

Citations3
Published2025
Admission routes2
Has abstractyes

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