Identification and validation of gestational diabetes subgroups by data-driven cluster analysis.

Benedetta SalvatoriSilke WegenerGrammata KotzaeridiAnnika HerdingFlorian EppelIris Dressler-Steinbach Wolfgang Henrich Agnese Piersanti Micaela Morettini Andrea Tura Christian S Göbl

Published in: Diabetologia (2024)

Our findings confirm the heterogeneity of GDM. The identification of subgroups (clusters) has the potential to help clinicians define more tailored treatment approaches for improved maternal and neonatal outcomes.

Keyphrases

pregnancy outcomes
bioinformatics analysis
palliative care
type diabetes
smoking cessation
pregnant women
birth weight
risk assessment
insulin resistance