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Sentinel Public Training on Maternal Health and Pregnancy
This training will consist of presentations on the Sentinel System’s distributed database and broad analytic capabilities. We will discuss pregnancy-related analyses including how Sentinel links and uses mother and infant data, cohort identification approaches for assessing medical product use during pregnancy, and a case study that employs a new inferential analysis tool. The training will be conducted by Sentinel epidemiologist investigators.

1. Introduction to Sentinel System and Overview of Analytic Capabilities
Objective: Provide an overview of the Sentinel System, including the distributed data network and Common Data Model. We will introduce Sentinel’s routine querying tools and describe current analytic capabilities. We will present a use case study for discussion: a real-world example of the antiepileptic drug topiramate exposure and risk of oral clefts in infants.

2. Creation of a Linked Mother-Infant Cohort and Descriptive Pregnancy Analyses
Objective: Introduce how a pregnancy cohort is created in Sentinel, including the use of validated algorithms for identifying live birth deliveries, estimating gestational age, and methods for linking mothers to infants. We will discuss options for descriptive analyses that characterize medical product use during pregnancy and present descriptive results from the use case study of topiramate exposure during pregnancy.

3. Inferential Analyses for Perinatal Exposures
Objective: This lecture will expand on the analytics capabilities for pregnancy studies presented in the previous section. We will describe the new tool available to conduct inferential analyses among pregnant women, enabling the assessment of infant and/or maternal outcomes using propensity score matching. We will share results from the topiramate use case study examining its association with oral clefts in infants.

Nov 2, 2020 09:00 AM in Eastern Time (US and Canada)

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