Research

Classifying patients based on weekly continuous glucose monitoring metrics and their association with pregnancy outcomes

Abstract

Authors
Authors
Authors
Sara Sauer
https://www.delfina.com/resource/conference-weekly-cgm-metrics

Authors: Sara Sauer, Ayodeji Sanusi, Isabel Fulcher, Ashley Battarbee

Conference: Society for Maternal and Fetal Medicine Annual Pregnancy Meeting 2024

Key Findings: Weekly CGM metrics successfully classified pregnant patients into discrete glucotype groups integrating glycemic excursions and circadian cycle patterns. Nocturnal hyperglycemia and high glycemic variability with hypo- and hyperglycemia should be avoided as these patients appear most likely to experience adverse outcomes.

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Research

Classifying patients based on weekly continuous glucose monitoring metrics and their association with pregnancy outcomes

Abstract

Authors
Authors
Authors
Sara Sauer
https://www.delfina.com/resource/conference-weekly-cgm-metrics

Authors: Sara Sauer, Ayodeji Sanusi, Isabel Fulcher, Ashley Battarbee

Conference: Society for Maternal and Fetal Medicine Annual Pregnancy Meeting 2024

Key Findings: Weekly CGM metrics successfully classified pregnant patients into discrete glucotype groups integrating glycemic excursions and circadian cycle patterns. Nocturnal hyperglycemia and high glycemic variability with hypo- and hyperglycemia should be avoided as these patients appear most likely to experience adverse outcomes.

READ NOW

Research

Classifying patients based on weekly continuous glucose monitoring metrics and their association with pregnancy outcomes

Abstract

Authors
Authors
Authors
Sara Sauer
https://www.delfina.com/resource/conference-weekly-cgm-metrics

Authors: Sara Sauer, Ayodeji Sanusi, Isabel Fulcher, Ashley Battarbee

Conference: Society for Maternal and Fetal Medicine Annual Pregnancy Meeting 2024

Key Findings: Weekly CGM metrics successfully classified pregnant patients into discrete glucotype groups integrating glycemic excursions and circadian cycle patterns. Nocturnal hyperglycemia and high glycemic variability with hypo- and hyperglycemia should be avoided as these patients appear most likely to experience adverse outcomes.

READ NOW

Research

Classifying patients based on weekly continuous glucose monitoring metrics and their association with pregnancy outcomes

Abstract

Authors
Authors
Authors
Sara Sauer
https://www.delfina.com/resource/conference-weekly-cgm-metrics

Authors: Sara Sauer, Ayodeji Sanusi, Isabel Fulcher, Ashley Battarbee

Conference: Society for Maternal and Fetal Medicine Annual Pregnancy Meeting 2024

Key Findings: Weekly CGM metrics successfully classified pregnant patients into discrete glucotype groups integrating glycemic excursions and circadian cycle patterns. Nocturnal hyperglycemia and high glycemic variability with hypo- and hyperglycemia should be avoided as these patients appear most likely to experience adverse outcomes.

READ NOW

Research

Classifying patients based on weekly continuous glucose monitoring metrics and their association with pregnancy outcomes

Abstract

https://www.delfina.com/resource/conference-weekly-cgm-metrics

Authors: Sara Sauer, Ayodeji Sanusi, Isabel Fulcher, Ashley Battarbee

Conference: Society for Maternal and Fetal Medicine Annual Pregnancy Meeting 2024

Key Findings: Weekly CGM metrics successfully classified pregnant patients into discrete glucotype groups integrating glycemic excursions and circadian cycle patterns. Nocturnal hyperglycemia and high glycemic variability with hypo- and hyperglycemia should be avoided as these patients appear most likely to experience adverse outcomes.

READ NOW

Research

Classifying patients based on weekly continuous glucose monitoring metrics and their association with pregnancy outcomes

Abstract

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https://www.delfina.com/resource/conference-weekly-cgm-metrics