
What Continuous Glucose Monitoring Reveals During Pregnancy With Type 1 Diabetes
New research shows that real-time glucose data helps pregnant women with type 1 diabetes spend significantly more time in healthy blood sugar ranges. Here's what the evidence tells us about CGM use during pregnancy.
Evidence label explains the kind of source behind this article (for example peer-reviewed literature vs community video). It is not medical advice.
Key takeaways
- Pregnant women with type 1 diabetes using closed-loop insulin systems spent about 15 percentage points more time in target glucose ranges compared to standard insulin pump or injection therapy
- CGM provides real-time glucose data that helps both patients and doctors make faster, more informed treatment decisions during pregnancy
- While CGM shows clear benefits for type 1 diabetes in pregnancy, researchers are still gathering data on its use in type 2 diabetes and gestational diabetes during pregnancy
- Automated insulin delivery systems combined with CGM are an active area of research, with ongoing studies examining how these technologies affect maternal and baby health outcomes
Why Blood Sugar Control Matters in Pregnancy
High blood sugar during pregnancy affects about half of all pregnant women with type 1 diabetes. These complications can impact both the pregnant person's health and the developing baby. Managing blood sugar carefully throughout pregnancy is therefore a critical part of prenatal care for women with type 1 diabetes.
For decades, the standard approach relied on fingerstick blood tests and insulin pumps or injections. But continuous glucose monitoring (CGM)—small sensors that track blood sugar in real time—offers a different picture of how glucose levels change throughout the day and night.
What the CIRCUIT Trial Found
A major randomized clinical trial published in late 2025 tested closed-loop insulin delivery (a system where CGM data automatically adjusts insulin dosing) against standard care in pregnant women with type 1 diabetes. The study included 88 women across Canada and Australia, followed from early pregnancy through six weeks after delivery.
The results were substantial: women using closed-loop systems spent 65% of their time in the pregnancy-specific target glucose range (63–140 mg/dL), compared to 50% for those on standard care. That 15-percentage-point difference translated to about 3.5 more hours per day in healthy ranges during weeks 16 to 34 of pregnancy.
Severe low blood sugar episodes were rare in both groups, and the closed-loop group had no additional safety concerns compared to standard therapy.
How CGM Helps Patients and Clinicians
CGM removes guesswork from glucose management. Instead of checking blood sugar a handful of times per day, sensors provide continuous data—showing trends, patterns, and sudden changes in real time. Patients and their care teams can see how food, activity, and stress affect glucose levels and adjust treatment plans accordingly.
For pregnant women with diabetes, this detailed information is especially valuable. Pregnancy itself changes how the body uses insulin, and hormonal shifts can make blood sugar unpredictable. CGM data helps clinicians spot these changes quickly and make timely adjustments to keep both mother and baby safe.
What We Still Need to Learn
While CGM clearly benefits pregnant women with type 1 diabetes, evidence is more limited for type 2 diabetes and gestational diabetes in pregnancy. Researchers are actively working to fill these gaps.
New studies are also examining automated insulin delivery systems (where CGM data adjusts insulin dosing automatically) to understand their full impact on maternal health, baby health, and emotional well-being during pregnancy. As these technologies evolve and more pregnant women use them, researchers continue gathering real-world evidence to refine best practices.
Moving Forward
CGM technology is now FDA-approved and increasingly covered by insurance, making it more accessible to pregnant women with diabetes than ever before. However, using CGM effectively during pregnancy requires guidance—knowing how to interpret the data, spotting common pitfalls, and working closely with your diabetes and obstetric care team.
If you are pregnant or planning pregnancy with type 1 diabetes, ask your healthcare provider about whether CGM or closed-loop systems might fit your care plan. The growing body of research shows these tools can meaningfully improve glucose control and, potentially, pregnancy outcomes.
Evidence label
Origin: YouTube / Juicebox Podcast (Video report). Evidence: Video report, corroborated with 5 indexed studies. Type1Cure is an information and intelligence hub, not a medical advice service. This article summarizes published research and does not provide diagnosis, treatment, or personal medical guidance. Always talk to your own care team before changing anything about your Type 1 diabetes management.
Type1Cure is an information and intelligence hub, not a medical advice service. This article summarizes published research and does not provide diagnosis, treatment, or personal medical guidance. Always talk to your own care team before changing anything about your Type 1 diabetes management.
Related reading
More evidence-labeled coverage across the Type1Cure library.
- Living With T1DWhat We're Learning About Diabetic Ketoacidosis in Type 1 Diabetes: A French StudyPubMed indexed literature
- Living With T1DHow Automated Insulin Delivery Systems Work and What the Research ShowsVideo report, corroborated with 5 indexed studies
- Living With T1DCorrection to "The Use of an Automated Insulin Delivery System Is Associated With a Reduction in Diabetes Distress and Improvement in Quality of Life in People With Type 1 Diabetes".PubMed indexed literature
- Living With T1DA New Class of Biologics Could Change How We Treat Type 1 DiabetesPubMed indexed literature
- Living With T1DNew Trials Test Fully Closed Loop Insulin Systems That Could Eliminate Carb CountingVideo report, corroborated with 2 indexed studies
- Living With T1DMenopause and Type 1 Diabetes: What Women Need to KnowPubMed indexed literature