Gestational diabetes & diabetes in pregnancy
Glucose circadian rhythm assessment in pregnant women for gestational diabetes screening
Authors' conclusion
Chronobiological parameters might contribute to a better identification of the adverse outcomes associated with GDM in both the mother and newborn.
Study context
- Population
- Pregnant patients with blinded Continuous Glucose Monitoring (CGM) data, assessed for gestational diabetes mellitus (GDM)-related adverse outcomes87 with enough data
- Participants
- 92 patients
- Outcome
- Prediction of composite adverse neonatal outcomes by chronobiological variables from fitting glucose oscillation to a circadian rhythm
Methodological detailsblinded CGM
- Blinded CGM
Performance
As reported in the abstract
Composite adverse neonatal outcomes
- 3-covariate model (midline estimating statistic of rhythm (MESOR), glucose M10 start-time, age) was predictive of the primary outcome
Secondary outcomes
Maternal secondary outcomes
- Model associated with preeclampsia with severe features and weight gain during pregnancy
Newborn secondary outcomes
- Model associated with preterm delivery <37 weeks, indicated preterm delivery, NICU admission, need for CPAP and differences in hospital LOS
Original publication
Glucose circadian rhythm assessment in pregnant women for gestational diabetes screening. Int J Obes (Lond). Published 18 September 2024. doi:10.
Composed by AI from the published abstract and checked against it. How Briefs are made →