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Published on: October 25, 2015
Development of a comprehensive database for research on foetal acidosis
A Houzé de l'Aulnoit1, A Parent2, S Boudet3
1Service Obstétrique, Hôpital Saint-Vincent-de Paul, Institut Catholique de Lille, Boulevard de Belfort, BP 387, F-59020 Lille Cedex, France; Univ Nord de France; CHU Lille, ULR 2694 - METRICS Evaluation des technologies de santé et des pratiques médicales Pôle Recherche, 1 Place de Verdun, F-59045 Lille Cedex, France.
The Base Bien Naître database compiles mother-child clinical data and digital fetal heart rate recordings. It supports research on fetal acidosis risk, offering over 11,000 comprehensive records.
Area of Science:
- Obstetrics and Gynecology
- Perinatal Medicine
- Clinical Data Management
Background:
- Developing robust clinical databases is crucial for advancing perinatal research.
- Integrating diverse data types, including digital fetal heart rate (FHR) recordings and laboratory results, enhances analytical capabilities.
- The Base Bien Naître (BBN) database addresses the need for a centralized repository of mother-child health information.
Purpose of the Study:
- To establish a comprehensive, searchable research database integrating mother-child clinical data and digital fetal heart rate (FHR) recordings.
- To facilitate data reuse for studies on perinatal outcomes, specifically focusing on fetal acidosis.
- To create a valuable resource for obstetric and neonatal research.
Main Methods:
- The BBN database was developed from a single-centre health data warehouse, including data from 11,026 parturients meeting specific inclusion criteria (singleton pregnancy, live birth, 37+ weeks gestation).
- Digital FHR recordings (minimum 30 min) and cord blood arterial pH (pHa) were collected for all eligible deliveries between February 2011 and December 2018.
- FHR recordings were visually analyzed for fetal acidosis risk, classified using both CNGOF (5 groups) and FIGO (3 groups) criteria.
Main Results:
- The BBN database contains 11,026 complete records with high-quality digital FHR recordings (median 304 min) and low signal loss (median 7.0%).
- Analysis of a subset (6115 records) revealed 11.3% at significant risk of acidosis (CNGOF) and 26.8% suspicious (FIGO).
- Cord blood arterial pHa below 7.10 was observed in 3.7% of neonates.
Conclusions:
- The Base Bien Naître database is a valuable, searchable resource for perinatal research, containing over 11,000 comprehensive mother-child records.
- The database facilitates the study of fetal well-being and the risk of fetal acidosis using integrated clinical, laboratory, and FHR data.
- The BBN database is designed for data reuse, supporting future investigations in obstetrics and neonatal care.
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