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Prenatal Exposure to Opioids and Neurodevelopmental Disorders in Children: A Bayesian Mediation Analysis
Insights
Prenatal opioid exposure is linked to faster neurodevelopmental disorder (NDD) diagnoses in children. Adverse pregnancy and birth outcomes significantly mediate this association, especially with later exposure during pregnancy.
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.
Abstract:
This study explores natural direct and joint natural indirect effects (JNIE) of prenatal opioid exposure on neurodevelopmental disorders (NDDs) in children mediated through pregnancy complications, major and minor congenital malformations, and adverse neonatal outcomes, using Medicaid claims linked to vital statistics in Rhode Island, United States, 2008-2018. A Bayesian mediation analysis with elastic net shrinkage prior was developed to estimate mean time to NDD diagnosis ratio using posterior mean and 95% credible intervals (CrIs) from Markov chain Monte Carlo algorithms. Simulation studies showed desirable model performance. Of 11,176 eligible pregnancies, 332 had ≥2 dispensations of prescription opioids anytime during pregnancy, including 200 (1.8%) having ≥1 dispensation in the first trimester (T1), 169 (1.5%) in the second (T2), and 153 (1.4%) in the third (T3). A significant JNIE of opioid exposure was observed in each trimester (T1, JNIE = 0.97, 95% CrI: 0.95, 0.99; T2, JNIE = 0.97, 95% CrI: 0.95, 0.99; T3, JNIE = 0.96, 95% CrI: 0.94, 0.99). The proportion of JNIE in each trimester was 17.9% (T1), 22.4% (T2), and 56.3% (T3). In conclusion, adverse pregnancy and birth outcomes jointly mediated the association between prenatal opioid exposure and accelerated time to NDD diagnosis. The proportion of JNIE increased as the timing of opioid exposure approached delivery.
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