Evidence map›Paper›PMID 40465189›Full record

ArticleEuropean journal of epidemiology2025

Prenatal and childhood infections and risk of epilepsy.

Yi-Jiun Pan, Mei-Chen Lin, Chi-Fung Cheng, Chi-Shin Wu, Chia-Lin Liu, Pei-Chun Chen, Wesley K Thompson, Chun-Chieh Fan, Shi-Heng Wang

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Article in European journal of epidemiology, 2025. 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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5 · Who and what money

Authors and funding

9 authors.

Yi-Jiun PanDepartment of Microbiology and Immunology, School of Medicine, College of Medicine, China Medical University, Taichung, Taiwan.
Mei-Chen LinNational Center for Geriatrics and Welfare Research, National Health Research Institutes, Zhunan, Taiwan.
Chi-Fung ChengNational Center for Geriatrics and Welfare Research, National Health Research Institutes, Zhunan, Taiwan.
Chi-Shin WuNational Center for Geriatrics and Welfare Research, National Health Research Institutes, Zhunan, Taiwan.
Chia-Lin LiuGood liver clinic, Taipei, Taiwan.
Pei-Chun ChenNational Center for Geriatrics and Welfare Research, National Health Research Institutes, Zhunan, Taiwan.
Wesley K ThompsonCenter for Population Neuroscience and Genetics, Laureate Institute for Brain Research, Tulsa, OK, USA.
Chun-Chieh FanCenter for Population Neuroscience and Genetics, Laureate Institute for Brain Research, Tulsa, OK, USA.
Shi-Heng WangNational Center for Geriatrics and Welfare Research, National Health Research Institutes, Zhunan, Taiwan. shwang@nhri.edu.tw.ORCID http://orcid.org/0000-0002-8466-2698

Funding

National Health Research Institutes CG-112-GP-10, CG-113-GP-10, NHRI-EX109-10931PI, NHRI-EX110-10931PI, NHRI-EX111-10931PINational Science and Technology Council MOST108-2314-B-039-030-MY3, NSTC111-2628-B-400-004-MY3
6 · The paper itself

Abstract

Infections in utero and early childhood are associated with an increased epilepsy risk; however, confounding by familial predisposition has not been adequately accounted for in previous studies. We aimed to assess the epilepsy risk attributable to infections in utero and early childhood by performing population-based and sibling-comparison analyses to account for residual and unmeasured familial confounding factors. This nationwide birth cohort study included 2,609,289 individuals born 2001-2016 in Taiwan. Maternal infection during pregnancy and early childhood infection during the first year of life were defined. Maternal pre-pregnancy infection was used as negative control. In the population analyses, offspring exposed to any maternal infection during pregnancy had an increased epilepsy risk (hazard ratio (HR) = 1.36, 95% confidence interval (CI):1.27-1.45). However, the association with maternal infection was attenuated to the null (HR = 1.11, 95% CI:0.98-1.27), except for maternal infection in sepsis (HR = 2.54, 95% CI:1.74-3.70) and central nervous system (HR = 24.59, 95% CI:3.28-184.23), in the sibling analyses. The association of maternal pre-pregnancy infection with offspring epilepsy was observed in the population analyses, but not in the sibling analyses. Individuals exposed to childhood infection had an increased epilepsy risk (HR = 1.49, 95% CI:1.45-1.54) in the population analyses; the association was still observed in the sibling analyses (HR = 1.31, 95% CI:1.23-1.40). The association between maternal infection during pregnancy and epilepsy risk in the offspring appears largely because of familial confounding factors. Infections during early childhood may play a causal role in the subsequent epilepsy risk.

Indexed as

EpilepsyInfectionsPregnancy Complications, InfectiousPrenatal Exposure Delayed EffectsAdultBirth CohortChildChild, PreschoolFemaleHumansInfantInfant, NewbornMalePregnancyRisk FactorsSiblingsBirth cohort studyChildhood infectionEpilepsyMaternal infectionSibling-comparison

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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.