# Bayesian Mediation Analysis for Neonatal Neurodevelopmental Outcomes in Pregnancy with Opioid Exposure

> **NIH NIH R15** · UNIVERSITY OF RHODE ISLAND · 2020 · $256,727

## Abstract

Contact PD/PI: Wen, Xuerong
ABSTRACT
Mediation analysis is useful to quantify the direct and indirect relationship among maternal opioid exposure during
pregnancy, short-term adverse neonatal outcomes, and long-term neurodevelopmental outcomes in children. There are
different approaches to estimate mediation models, and Bayesian methods offer some advantages compared to their
frequentist counterparts: possibility of including prior information, computational feasibility when a multilevel model
structure is needed, and more flexibility in analyzing data with smaller sample sizes. In conducting the originally funded
project (1R15HD097588), we have observed significant effects for pregnancy opioid exposure on multiple short-term
congenital malformations and long-term neurodevelopmental outcomes in children. However, it is unclear whether the
observed effects are direct or indirect, and whether the effect of maternal opioid usage on neonatal development remains
significant after adjusting for mediation factors. The limited data sources restrain our knowledge and creates a formidable
research opportunity. In this project, we will investigate mediation effects of maternal opioid use on multiple short- and
long-term adverse pregnancy outcomes for children. Two linked datasets will be used to examine different outcomes,
provide a long follow-up time, and validate the estimation of pregnancy window. Our findings from the originally
awarded project have shown that prescription opioid use in pregnant women is associated with increased risk of
congenital malformations and neonatal neurodevelopmental outcomes. It is necessary to further adjust for the mediation
factors and determine the direct effects of opioid exposure during pregnancy. The focus of this project is to study the
relationship between perinatal opioid exposure and adverse health outcomes in children. We hypothesize that prescription
opioid use during pregnancy directly poses risks on long-term development of children, and that optimized pain
management in pregnant women improves long-term health outcomes for children. Specific Aim 1: To identify the
mediation factors that are on the causal pathway of maternal exposure to prescription opioids and neonatal
neurodevelopmental outcomes. The goal of this aim is to identify the mediators that are significantly associated with
maternal opioid exposure and also strongly correlated with child long-term neurodevelopmental outcomes. First, we will
fit a multivariable logistic regression model to assess the association between short-term adverse neonatal outcomes and
in-utero opioid exposure after adjusting for baseline potential confounding factors. Second, parametric and non-parametric
correlations will be assessed for long-term neurodevelopmental outcomes and short-term adverse neonatal outcomes that
are significantly related to in-utero opioid exposure. Third, a mediating risk scores will be calculated based on all selected
mediators. Specific Aim 2: T...

## Key facts

- **NIH application ID:** 10176650
- **Project number:** 3R15HD097588-01S1
- **Recipient organization:** UNIVERSITY OF RHODE ISLAND
- **Principal Investigator:** Xuerong Wen
- **Activity code:** R15 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $256,727
- **Award type:** 3
- **Project period:** 2019-02-01 → 2022-01-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10176650

## Citation

> US National Institutes of Health, RePORTER application 10176650, Bayesian Mediation Analysis for Neonatal Neurodevelopmental Outcomes in Pregnancy with Opioid Exposure (3R15HD097588-01S1). Retrieved via AI Analytics 2026-05-25 from https://api.ai-analytics.org/grant/nih/10176650. Licensed CC0.

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