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Some of our very own Delfina data science team members, Sara M. Sauer, PhD and Isabel Fulcher, PhD, recently co-authored an important study exploring how glucose control patterns throughout pregnancy impact maternal and neonatal outcomes in patients with preexisting diabetes.
In collaboration with Dr. Ashley N. Battarbee and Dr. Ayodeji Sanusi, this research leveraged over 5.1 million CGM data points to identify distinct blood sugar control trajectory groups — revealing that poor or unstable glycemic control, particularly during the second and early third trimesters, is associated with adverse outcomes like preterm birth, NICU admission, and preeclampsia.
The takeaway? The level and timing of glycemic control during pregnancy matters. These findings add to the growing evidence base showing how continuous monitoring and personalized care can improve outcomes for high-risk pregnancies.
Paper
Some of our very own Delfina data science team members, Sara M. Sauer, PhD and Isabel Fulcher, PhD, recently co-authored an important study exploring how glucose control patterns throughout pregnancy impact maternal and neonatal outcomes in patients with preexisting diabetes.
In collaboration with Dr. Ashley N. Battarbee and Dr. Ayodeji Sanusi, this research leveraged over 5.1 million CGM data points to identify distinct blood sugar control trajectory groups — revealing that poor or unstable glycemic control, particularly during the second and early third trimesters, is associated with adverse outcomes like preterm birth, NICU admission, and preeclampsia.
The takeaway? The level and timing of glycemic control during pregnancy matters. These findings add to the growing evidence base showing how continuous monitoring and personalized care can improve outcomes for high-risk pregnancies.
Paper
Some of our very own Delfina data science team members, Sara M. Sauer, PhD and Isabel Fulcher, PhD, recently co-authored an important study exploring how glucose control patterns throughout pregnancy impact maternal and neonatal outcomes in patients with preexisting diabetes.
In collaboration with Dr. Ashley N. Battarbee and Dr. Ayodeji Sanusi, this research leveraged over 5.1 million CGM data points to identify distinct blood sugar control trajectory groups — revealing that poor or unstable glycemic control, particularly during the second and early third trimesters, is associated with adverse outcomes like preterm birth, NICU admission, and preeclampsia.
The takeaway? The level and timing of glycemic control during pregnancy matters. These findings add to the growing evidence base showing how continuous monitoring and personalized care can improve outcomes for high-risk pregnancies.
Paper
Some of our very own Delfina data science team members, Sara M. Sauer, PhD and Isabel Fulcher, PhD, recently co-authored an important study exploring how glucose control patterns throughout pregnancy impact maternal and neonatal outcomes in patients with preexisting diabetes.
In collaboration with Dr. Ashley N. Battarbee and Dr. Ayodeji Sanusi, this research leveraged over 5.1 million CGM data points to identify distinct blood sugar control trajectory groups — revealing that poor or unstable glycemic control, particularly during the second and early third trimesters, is associated with adverse outcomes like preterm birth, NICU admission, and preeclampsia.
The takeaway? The level and timing of glycemic control during pregnancy matters. These findings add to the growing evidence base showing how continuous monitoring and personalized care can improve outcomes for high-risk pregnancies.
Paper
Some of our very own Delfina data science team members, Sara M. Sauer, PhD and Isabel Fulcher, PhD, recently co-authored an important study exploring how glucose control patterns throughout pregnancy impact maternal and neonatal outcomes in patients with preexisting diabetes.
In collaboration with Dr. Ashley N. Battarbee and Dr. Ayodeji Sanusi, this research leveraged over 5.1 million CGM data points to identify distinct blood sugar control trajectory groups — revealing that poor or unstable glycemic control, particularly during the second and early third trimesters, is associated with adverse outcomes like preterm birth, NICU admission, and preeclampsia.
The takeaway? The level and timing of glycemic control during pregnancy matters. These findings add to the growing evidence base showing how continuous monitoring and personalized care can improve outcomes for high-risk pregnancies.
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