Evidence map›Paper›PMID 42435418›Full record

ArticleInternational journal of epidemiology2026

Association of severe maternal morbidity with epilepsy diagnosis in children: a population-based birth cohort study.

Bénédicte Driollet, Emmalin Buajitti, Asma M Ahmed, Jennifer A Hutcheon, Laura Rosella, Seungmi Yang

Abstract read
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Article in International journal of epidemiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Bénédicte DriolletDepartment of Epidemiology, Biostatistics, and Occupational Health, McGill University, Quebec, Canada.ORCID 0009-0008-0022-9995
Emmalin BuajittiDepartment of Epidemiology, Biostatistics, and Occupational Health, McGill University, Quebec, Canada.
Asma M AhmedDepartment of Epidemiology and Prevention, Division of Public Health Sciences, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA.
Jennifer A HutcheonDepartment of Obstetrics and Gynaecology, The University of British Columbia, Vancouver, BC, Canada.
Laura RosellaICES, Toronto, ON, Canada.ORCID 0000-0003-4867-869X
Seungmi YangDepartment of Epidemiology, Biostatistics, and Occupational Health, McGill University, Quebec, Canada.

Funding

CIHICIHR PJT-175250ICESImmigration, Refugees and Citizenship Canada (IRCC)MOHOntario Ministry of Health (MOH) and the Ministry of Long-Term Care (MLTC)
6 · The paper itself

Abstract

backgroundSevere maternal morbidity (SMM) is associated with adverse perinatal outcomes. However, its association with longer-term offspring outcomes, including neurodevelopment disorders, is poorly understood. This study aims to examine the association between SMM and the risk of epilepsy in offspring.

methodsA retrospective birth cohort study of all singleton hospital births between 2002 and 2018 in Ontario, Canada was followed up until March 2020. SMM (20 weeks' gestation to 42 days postpartum) and epilepsy diagnosed before 18 years of age in offspring were identified by using administrative health records. The risk of epilepsy associated with SMM was estimated by using Cox proportional hazard models and the robustness of the results was examined by using quantitative bias analyses (outcome and exposure misclassification and residual or unmeasured confounding).

resultsOf 2 060 668 children with a median follow-up time of 10 years, 40 830 (2%) were exposed to severe maternal morbidity and 16 992 (0.8%) were diagnosed with epilepsy (1.2% among those exposed to SMM and 0.8% among those unexposed). After adjustment for maternal, birth, and socioeconomic characteristics, children exposed to SMM had a 45% increased risk of epilepsy diagnosis compared with those unexposed [hazard ratio (HR) 1.45, 95% confidence interval (CI) 1.33-1.59]. This increase was similar across the subtypes of SMM. Estimates accounting for potential misclassification biases and residual or unmeasured confounding (by obesity or maternal education) showed increased risks (HR 1.91, 95% CI 1.50-2.42).

conclusionAn increased risk of epilepsy was found in children exposed to SMM, suggesting a perinatal etiology and underlining the importance of ensuring a healthy pregnancy.

Indexed as

EpilepsyPregnancy ComplicationsPrenatal Exposure Delayed EffectsAdolescentAdultBirth CohortChildChild, PreschoolFemaleHumansInfantInfant, NewbornMaleOntarioPregnancyProportional Hazards Modelsepilepsyneurodevelopmental disorderpediatricperinatal etiologyquantitative bias analysissevere maternal morbidity

Identifiers

PMID42435418
PMCPMC13355839

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.