Surveillance of Adverse Infant Outcomes Following Maternal Medication Use During Pregnancy Using Tree-Based Scan Statistics

This presentation provides an overview of TreeScan signal identification methods and discusses how such methods can be used for surveillance of potential adverse infant events following maternal medication exposure during pregnancy. Methods and results from a simulation analysis to assess the performance of TreeScan under known conditions are reviewed, as well as a case study which aimed to demonstrate the use of TreeScan in real-world data, in a cohort of pregnant women linked to their live-born infants.

It was presented at the 11th Biennial Conference on Signal Detection and Signal Management in Pharmacovigilance, which was held June 28-30 2022 in London, England.