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Record W4416528571 · doi:10.1016/j.ajog.2025.11.026

Severe maternal morbidity and risk of adverse pregnancy, delivery, and neonatal outcomes in the subsequent delivery

2025· article· en· W4416528571 on OpenAlexafffundabout
Eleni Tsamantioti, K.S. Joseph, Cande V. Ananth, Katarina Remaeus, Anna Sandström, Neda Razaz

Bibliographic record

VenueAmerican Journal of Obstetrics and Gynecology · 2025
Typearticle
Languageen
FieldMedicine
TopicMaternal and fetal healthcare
Canadian institutionsB.C. Women's Hospital & Health CentreChildren's & Women's Health Centre of British Columbia
FundersNational Institute of Environmental Health SciencesStockholms Läns LandstingCanadian Institutes of Health ResearchVetenskapsrådetNational Institutes of HealthNational Heart, Lung, and Blood InstituteHjärt-Lungfonden
KeywordsAdverse effectMaternal morbidityOffspringPregnancyObstetric labor complicationPreterm delivery

Abstract

fetched live from OpenAlex

BACKGROUND: Severe maternal morbidity is associated with substantially increased risks of adverse neonatal outcomes. However, few studies have assessed the association between severe maternal morbidity and adverse pregnancy, delivery, and perinatal outcomes in the subsequent delivery. OBJECTIVE: We aimed to investigate the association between severe maternal morbidity and its specific types in the first delivery and the risk of adverse pregnancy, delivery, and neonatal outcomes in the second delivery. STUDY DESIGN: We examined 2 population-based cohorts in Sweden and British Columbia, Canada, of mothers with both their first and second delivery recorded. The primary exposure was severe maternal morbidity in the first delivery (recorded during pregnancy, delivery or within 42 days postpartum). The outcomes were pregnancy and delivery complications, and offspring composite severe neonatal morbidity, and perinatal mortality (ie, stillbirths or neonatal deaths) within the first 28 days after birth, in the second delivery. We used multivariable generalized linear models to obtain adjusted risk ratios and 95% confidence intervals, adjusted for confounders. RESULTS: In both Sweden and British Columbia, women who experienced severe maternal morbidity in their first delivery had an increased risk of composite perinatal death/severe neonatal morbidity in the second delivery (Sweden: adjusted risk ratio, 1.88; 95% confidence interval, 1.75-2.02, British Columbia: adjusted risk ratio, 1.49; 95% confidence interval, 1.24-1.79), compared with mothers without severe maternal morbidity in the first delivery. In Sweden, second deliveries to women who had severe maternal morbidity in their first delivery were associated with a 1.59-times higher risk of stillbirth, a 1.65-times higher risk of neonatal mortality, a 1.95-times higher risk of composite severe neonatal morbidity, and 1.69-fold higher risk of infant mortality. In Sweden, compared with unaffected first delivery, severe maternal morbidity in the first delivery was associated with a 4.77-fold higher risk of severe maternal morbidity, 6.20-fold higher risk of preeclampsia, and an approximately 2-fold increased risk of placental abruption, maternal infection, antepartum hemorrhage, and postpartum hemorrhage in the second delivery. While in British Columbia, the adjusted estimates were in the same direction as in Sweden, statistical significance was reached for several outcomes, specifically, infant mortality, severe maternal morbidity, preeclampsia, gestational diabetes, placental abruption, antepartum hemorrhage, postpartum hemorrhage, and both elective and cesarean delivery in the second delivery. CONCLUSION: In both Sweden and British Columbia, Canada, severe maternal morbidity in the first delivery was associated with an increased risk of adverse pregnancy, delivery, and offspring outcomes in the subsequent delivery. Our findings can guide clinical and reproductive counseling for women with a history of severe maternal morbidity.

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)0.001
metaresearch head score (Gemma)0.003
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 score0.057
Threshold uncertainty score0.113

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
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 science0.0000.001
Research integrity0.0000.001
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 head0.013
GPT teacher head0.272
Teacher spread0.259 · 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

Citations1
Published2025
Admission routes3
Has abstractyes

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