Developing a database for multicenter evaluation of placenta accreta spectrum

Area of Science:

• Reproductive Medicine
• Clinical Data Management
• Obstetrics

Background:

• Rare and complex conditions like placenta accreta spectrum (PAS) necessitate multicenter collaboration.
• The International Society for Placenta Accreta Spectrum (IS-PAS) recognized the need for a centralized data repository.
• Previous data collection methods were insufficient for comprehensive analysis of PAS cases.

Purpose of the Study:

• To establish a secure, web-based database for analyzing pregnancies complicated by PAS.
• To facilitate multicenter cooperation and data sharing among IS-PAS members.
• To design, test, and implement a robust system for collecting anonymized textual and imaging data.

Main Methods:

• A core dataset was established through in-person IS-PAS meetings.
• A custom-designed, secure online database was developed for anonymized data submission and statistical queries.
• Data from 14 European and 1 US center, encompassing 442 PAS cases between 2008-2019, were collected and analyzed.

Main Results:

• The IS-PAS successfully implemented a secure online database for PAS case analysis.
• Data from 442 pregnancies complicated by PAS were collected from 15 international centers.
• The database proved effective for comprehensive data collection and analysis of complex obstetric conditions.

Conclusions:

• The developed online database is a valuable tool for multicenter research on placenta accreta spectrum.
• The system supports the collection of diverse data types, including textual and imaging information.
• This infrastructure enhances the ability to study rare and complex clinical conditions effectively.