Evidence map›Paper›PMID 42868097›Full record

ArticlePLoS medicine2026

Maternal opioid prescriptions and subsequent risk of hospital admission in offspring in South Korea: A nationwide birth cohort study.

Hyeon Jin Kim, Yesol Yim, Christa J Nehs, Jaeyu Park, Eun Soo Kim, Sung Joon Cho, Guillaume Fond, Laurent Boyer, Jiseung Kang, Dong Keon Yon

Abstract read
In one paragraph

Article in PLoS medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Hyeon Jin KimCenter for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, South Korea.ORCID https://orcid.org/0000-0003-1286-4669
Yesol YimCenter for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, South Korea.ORCID https://orcid.org/0009-0006-3618-2354
Christa J NehsDivision of Sleep Medicine, Harvard Medical School, Boston, Massachusetts, United States of America.ORCID https://orcid.org/0000-0002-6708-1656
Jaeyu ParkCenter for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, South Korea.ORCID https://orcid.org/0009-0005-2009-386X
Eun Soo KimDepartment of Psychiatry, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, South Korea.
Sung Joon ChoDepartment of Psychiatry, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, South Korea.ORCID https://orcid.org/0000-0001-6981-0931
Guillaume FondCEReSS-Health Service Research and Quality of Life Center, Aix Marseille University, Marseille, France.ORCID https://orcid.org/0000-0003-3249-2030
Laurent BoyerCEReSS-Health Service Research and Quality of Life Center, Assistance Publique-Hopitaux de Marseille, Aix Marseille University, Marseille, France.ORCID https://orcid.org/0000-0003-1229-6622
Jiseung KangSchool of Health and Environmental Science, College of Health Science, Korea University, Seoul, South Korea.ORCID https://orcid.org/0000-0002-3734-7572
Dong Keon YonCenter for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, South Korea.ORCID https://orcid.org/0000-0003-1628-9948

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPrenatal opioid exposure may disrupt infant development and immune system function, potentially increasing long-term susceptibility to hospital admissions. Thus, we aimed to investigate the association between prenatal opioid exposure and the risk of hospital admission in children. METHODS AND

findingsWe established a population-based birth cohort in South Korea by linking mothers and children using National Health Insurance Service data and followed from January 1, 2009, to December 31, 2023. We constructed propensity score (PS)-matched and sibling comparison cohorts and performed a multi-pronged approach, including dose-dependent and time-attenuation analyses. All 5,249,429 individuals with eligible children born between January 1, 2010, and December 31, 2017, were included (2,236,167 mothers and 3,013,262 children). Infants were followed up for up to 14 years, depending on birth year. Prenatal exposure to opioids was defined as maternal receipt of two or more prescriptions within any given trimester. Adjusted incidence rate ratio (aIRR) of hospital admission among children with prenatal opioid exposure was estimated for causes including infections, non-infectious respiratory conditions, non-infectious gastrointestinal conditions, oral cavity diseases, injuries/external causes, and non-infectious genitourinary conditions. Analyses were adjusted for maternal age at delivery, infant sex, region of residence, household income level, birth season, parity, severe maternal morbidity score, number of outpatient visits and hospital admissions in the year before pregnancy, preterm birth, low birth weight, delivery type, year of delivery, maternal history of substance use and neuropsychiatric disorders, and plurality. Of the 2,928,186 children, we identified 2,809,515 (51.4% male) and 118,671 (51.3% male) infants without and with prenatal opioid exposure, respectively. The rate of hospital admissions in children with prenatal opioid exposure was 28% higher in the PS-matched cohort (aIRR 1.28 [95% CI 1.28, 1.29]; p < 0.001). The association was attenuated in the sibling comparison cohort, indicating the potential influence of shared familial factors, but remained statistically significant (aIRR 1.08 [95% CI 1.07, 1.10]; p < 0.001). Hospital admission rates in children increased in a dose-dependent manner with maternal opioid dose and duration of opioid prescriptions (low-dose exposure: aIRR 1.19 [95% CI 1.19, 1.20]; p < 0.001; high-dose exposure: aIRR 1.40 [95% CI 1.39, 1.41]; p < 0.001). Prenatal opioid exposure was significantly associated with increased rates of hospital admission across several causes of morbidities, including infections, respiratory non-infections, oral cavity, gastrointestinal non-infections, genitourinary non-infections, and injury/external conditions. These associations between prenatal opioid exposure and hospital admission rates in children diminished with age but remained evident up to five years of age. The main limitations of this study's methodology include the use of prescription records, which may not fully capture actual medication intake, and residual confounding that cannot be entirely excluded.

conclusionsIn this nationwide birth cohort study, maternal opioid prescription during pregnancy was associated with a substantial increase in the risk of hospital admissions in the offspring across various causes of morbidities. Although the attenuated estimates in the sibling comparison analysis suggest that familial factors may partly explain this association, these findings may inform postnatal monitoring and management strategies for children born to mothers who received opioid prescriptions during pregnancy.

Indexed as

Analgesics, OpioidDrug PrescriptionsHospitalizationPrenatal Exposure Delayed EffectsAdolescentAdultBirth CohortChildChild, PreschoolFemaleHumansInfantInfant, NewbornMalePregnancyRepublic of KoreaAnalgesics, Opioid

Identifiers

PMID42868097
PMCPMC13660889

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.