Prenatal Exposure to Opioids and Neurodevelopmental Disorders in Children: A Bayesian Mediation Analysis

Area of Science:

• Perinatal Epidemiology
• Developmental Neuroscience
• Public Health

Background:

• Prenatal opioid exposure is a growing concern with potential long-term effects on child neurodevelopment.
• Understanding the pathways through which opioid exposure impacts neurodevelopmental disorders (NDDs) is crucial for intervention.

Purpose of the Study:

• To investigate the natural direct and joint natural indirect effects (JNIE) of prenatal opioid exposure on NDDs.
• To examine mediation through pregnancy complications, congenital malformations, and adverse neonatal outcomes.

Main Methods:

• Utilized Medicaid claims linked to vital statistics in Rhode Island (2008-2018).
• Employed Bayesian mediation analysis with elastic net shrinkage prior and Markov chain Monte Carlo algorithms.
• Analyzed data from 11,176 pregnancies, identifying those with prescription opioid dispensations.

Main Results:

• Significant JNIE of opioid exposure on accelerated NDD diagnosis was observed across all trimesters.
• JNIE proportions were 17.9% (T1), 22.4% (T2), and 56.3% (T3), indicating increasing mediation with later exposure.
• Opioid exposure during pregnancy significantly increased the risk of NDD diagnosis in children.

Conclusions:

• Adverse pregnancy and birth outcomes jointly mediate the link between prenatal opioid exposure and accelerated NDD diagnosis.
• The proportion of mediation through these adverse outcomes increases as opioid exposure timing approaches delivery.