Development of models to describe fetal growth using comprehensive and validated register data|

Our research

We aim to develop an optimal classification of intrauterine/fetal growth restriction (FGR) in ongoing pregnancies. By combining classic pharmacoepidemiologic methods with causal inference and Bayesian statistics, we aim to determine the most effective method or methods for describing fetal growth and, based on these, develop a model to classify FGR. The data stems from the Danish national healthcare registries and electronic chart data, including ultrasound scan results from the Central Denmark Region. The precision and extrapolation of the models will be tested using register data from Nordic health registries. A part of the project will include the use of geographical data to investigate and evaluate the effect of climate change, including temperature, on fetal growth. The models will furthermore be used in studies examining the effect of polypharmacy on fetal growth. 

Projects

• Optimal Classification And improved Prevention of Intrauterine growth restriction (OCAPI)

Funding

• Danish Research Council, DFF-Forskningsprojekt2 (tematisk forskning), 2024

Collaborations

• Maria Christine Magnus, researcher, Norwegian Institute of Public Health, Centre for Fertility and Health, Oslo, Norway
• Håkon K. Gjessing. Professor, University of Bergen, Department of Global Public Health and Primary Care; Bergen, Oslo and Researcher, Norwegian Institute of Public Health, Centre for Fertility and Health, Oslo, Norway