Evidence map›Paper›PMID 40795075›Full record

ArticleInternational journal of epidemiology2025

Analgesic opioids in pregnancy and placental malperfusion-related disorders: a population-based cohort study.

Jonathan Brett, Claudia Bruno, Bianca Varney, Alys Havard, Antonia Shand, Krista F Huybrechts, Helga Zoega

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Article in International 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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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Jonathan BrettFaculty of Medicine and Health, St Vincent's Clinical School, University of New South Wales, Sydney, Australia.ORCID 0000-0003-3065-7495
Claudia BrunoFaculty of Medicine and Health, School of Population Health, University of New South Wales, Sydney, Australia.
Bianca VarneyFaculty of Medicine and Health, School of Population Health, University of New South Wales, Sydney, Australia.
Alys HavardFaculty of Medicine and Health, School of Population Health, University of New South Wales, Sydney, Australia.ORCID 0000-0001-6563-8804
Antonia ShandMaternal and Fetal Medicine, Royal Hospital for Women, Sydney, Australia.
Krista F HuybrechtsDivision of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, United States.ORCID 0000-0001-5805-8430
Helga ZoegaFaculty of Medicine, Centre of Public Health Sciences, University of Iceland, Iceland.

Funding

Centre of Research Excellence in Medications Intelligence 1196900National Health and Medical Research Council
6 · The paper itself

Abstract

backgroundAnalgesic opioid use in pregnancy could increase the risk of disorders related to placental malperfusion, but this relationship is incompletely characterized. We aimed to study the causal association between analgesic opioids in pregnancy and placental abruption, pre-eclampsia, preterm birth, and fetal growth restriction (FGR).

methodsWe conducted a population-based cohort study of pregnancies resulting in birth at ≥20 weeks of gestation between July 2013 and December 2019 in New South Wales, Australia. Linked data on pregnancy, births, medication dispensation, and health services were used. Opioid exposure was defined as at least one opioid dispensation from the last menstrual period to birth. We stratified analyses by exposure in early (≤20 weeks) and/or late (>20 weeks) pregnancy and opioid type by using non-exposed pregnancies as a comparator. We estimated risks by using Cox proportional-hazards models and time-varying exposure, adjusting for demographics, comorbidities, and other medications.

resultsAmong 509 971 births, 32 266 (6.3%) had an opioid dispensation. We observed modestly increased risks with any opioid exposure for placental abruption [adjusted hazard ratio (HR) 1.22, 95% confidence interval (CI) 1.06-1.41] and preterm birth (adjusted HR 1.23, 95% CI 1.18-1.28), but not for pre-eclampsia (adjusted HR 1.06, 95% CI 0.99-1.13) or FGR (adjusted HR 0.95, 95% CI 0.88-1.02). Risks of abruption were the most elevated when exposure occurred in both early and late pregnancy (adjusted HR 1.76, 95% CI 1.30-2.40) and for preterm birth when exposure occurred in late-only pregnancy (adjusted HR 1.36, 95% CI 1.27-1.45). Monotherapy with both codeine and oxycodone was associated with elevated risks of abruption and preterm birth.

conclusionIn this population-based cohort study, we observed modestly increased risks of preterm birth and placental abruption after analgesic opioid use in pregnancy, driven by codeine and oxycodone-the two most frequently used opioids.

Indexed as

Abruptio PlacentaeAnalgesics, OpioidFetal Growth RetardationPre-EclampsiaPremature BirthAdultCohort StudiesFemaleHumansInfant, NewbornNew South WalesPregnancyPregnancy ComplicationsProportional Hazards ModelsYoung AdultAnalgesics, Opioidanalgesicischaemic placental diseaseopioidplacental abruptionplacental malperfusionpre-eclampsiapregnancypretermsmall for gestational age

Identifiers

PMID40795075
PMCPMC12342150

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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.