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A Prospective Study on Continuous Glucose Monitoring in Glycogen Storage Disease Type Ia: Toward Glycemic Targets.

Alessandro RossiAnnieke VenemaPetra HaarsmaLude FeldbruggeRob BurghardDavid Rodriguez-BuriticaGiancarlo ParentiMaaike H OosterveerTerry G J Derks
Published in: The Journal of clinical endocrinology and metabolism (2022)
This is the first study to prospectively compare CGM outcomes between adult patients with GSDIa and matched healthy volunteers. The generation of a set of CGM metrics will provide guidance in using and interpreting CGM data in GSDIa and will be useful for the definition of glycemic targets for CGM in patients with GSDIa. Future studies should investigate the prognostic value of CGM outcomes and their major determinants in patients with GSDIa.
Keyphrases
  • type diabetes
  • current status
  • electronic health record
  • big data
  • metabolic syndrome
  • adipose tissue
  • artificial intelligence
  • weight loss
  • deep learning
  • case control
  • data analysis