- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT07269015
CGM Accuracy in Pregnancy Study
Evaluation of the Accuracy of Continuous Glucose Monitoring Systems and Educational Needs in Pregnant Women With Diabetes: A Comparison Between Dexcom One Plus and FreeStyle Libre 2 Plus
Pregnancy in women with diabetes remains a high-risk condition, requiring strict glycemic control due to rapid physiological changes that affect insulin sensitivity. Continuous glucose monitoring (CGM) provides detailed glucose trends, but the accuracy of newer, affordable systems such as Dexcom One Plus and FreeStyle Libre 2 Plus has not been evaluated during pregnancy.
This prospective interventional study aims to compare the accuracy of these two CGM systems-both worn simultaneously-using capillary glucose as the reference. The study also evaluates educational needs, skills, attitudes, digital competence, lifestyle habits, and patient-reported outcomes among pregnant women with type 1 diabetes (T1D), type 2 diabetes (T2D), and gestational diabetes (GDM).
Study Overview
Status
Intervention / Treatment
Detailed Description
Women with diabetes during pregnancy experience increased risks of congenital malformations, neonatal morbidity, hypertensive disorders, and abnormal fetal growth. Continuous glucose monitoring (CGM) improves glycemic outcomes in type 1 diabetes (T1D) in pregnancy, yet evidence remains limited for type 2 diabetes (T2D) and gestational diabetes (GDM). Dexcom One Plus and FreeStyle Libre 2 Plus are recent low-cost systems with CE-mark approval for use in pregnancy, both with reported Mean Absolute Relative Difference (MARD) values around 8%. However, neither system has been specifically validated in pregnant populations.
Physiological changes in pregnancy-including increased total body water and interstitial fluid-may alter CGM accuracy. Prior studies show that earlier FreeStyle Libre versions may overestimate hypoglycemia in pregnant women. Furthermore, women with T2D or GDM typically have little prior exposure to diabetes education or CGM technology, which may contribute to suboptimal glycemic control.
This study evaluates the accuracy and usability of Dexcom One Plus and FreeStyle Libre 2 Plus during pregnancy, while also assessing educational and digital literacy needs to optimize CGM implementation in real-world clinical practice.
Study Type
Enrollment (Estimated)
Phase
- Not Applicable
Contacts and Locations
Study Contact
- Name: Verónica Perea, MD, PhD
- Phone Number: 11330 0043937 36 50 50
- Email: vperea@mutuaterrassa.cat
Study Locations
-
-
Barcelona
-
Terrassa, Barcelona, Spain, 08221
- Hospital Universitari Mutua Terrassa
-
-
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
- Adult
- Older Adult
Accepts Healthy Volunteers
Description
Inclusion Criteria:
- Pregnant women with type 1 diabetes, type 2 diabetes, or gestational diabetes, diagnosed before 32 weeks of gestation
- Age ≥18 years
- Willingness to wear two CGM systems simultaneously
- Possession of a smartphone compatible with LibreLink
- Ability to sign informed consent
Exclusion Criteria:
- Comorbidities affecting glucose metabolism
- Inability to use CGM devices or perform capillary glucose testing
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Diagnostic
- Allocation: N/A
- Interventional Model: Single Group Assignment
- Masking: None (Open Label)
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
|---|---|
|
Experimental: Dual Continuous Glucose Monitoring Use
All participants will wear two continuous glucose monitoring sensors simultaneously
|
Worn on the upper arm for 10 days Two replacements during the 30-day study period Used with Dexcom mobile application
Worn on the opposite arm for 15 days One replacement during the 30-day study period Used as real-time CGM via LibreLink
Capillary glucose monitoring before meals, 1 hour postprandially, and during symptoms of hypoglycemia (Contour Instant) One baseline structured education session for participants without prior CGM experience Routine diabetes education according to national guidelines
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Mean Absolute Relative Difference (MARD)
Time Frame: End of 30-day monitoring period; Primary outcome
|
Difference between paired continuous glucose monitoring (CGM) readings (Dexcom One Plus vs. FreeStyle Libre 2 Plus) and reference capillary glucose values.
|
End of 30-day monitoring period; Primary outcome
|
|
Baseline diabetes knowledge, skills, and attitudes
Time Frame: Baseline (first study visit)
|
For the baseline evaluation, a specific questionnaire for the present study was administered, and the Spanish version of the Cambados Questionnaire will also be used.
The Cambados Questionnaire is a 5-item questionnaire designed to assess digital competence.
The score range is from 0 to 20.
Higher scores indicate greater digital competence.
|
Baseline (first study visit)
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Mean Absolute Difference (MAD) for glucose <70 mg/dL
Time Frame: End of 30-day monitoring period
|
|Difference| between paired values.
|
End of 30-day monitoring period
|
|
Agreement rates (15/15%, 20/20%, 40/40%) across glucose ranges
Time Frame: End of 30-day monitoring period
|
Categories: <63, 63-140, <70, 70-180, >140, >180 mg/dL.
|
End of 30-day monitoring period
|
|
Dietary habits (Mediterranean diet adherence)
Time Frame: Baseline and End of 30-day monitoring period
|
The Mediterranean Diet Adherence Screener (MEDAS) will be used to evaluate adherence to the Mediterranean diet using a 17-item dietary assessment (score range: 0-17).
Higher scores indicate greater adherence to the Mediterranean diet.
|
Baseline and End of 30-day monitoring period
|
|
Physical activity
Time Frame: 7 days before baseline and through study completion, an average of 1 week
|
Physical activity will be assessed by steps per day (measured as total steps) and using the reduced version of the Pregnancy Physical Activity Questionnaire (PPAQ).
The reported time spent in each activity category will be multiplied by the established categorical intensity value (METs) associated with that question.
The total weekly physical activity level (MET-minutes/week or MET-hours/week) will be calculated by summing the MET values for each item, allowing for classification by intensity (sedentary, light, moderate, and vigorous)
|
7 days before baseline and through study completion, an average of 1 week
|
|
Sleep quality
Time Frame: Baseline and through study completion, an average of 1 week
|
Pittsburgh Sleep Quality Index (PSQI).
The PSQI is a 19-item, self-rated questionnaire designed to measure sleep quality and disturbance.
Sleep component scores will be summed to yield a total score ranging from 0 to 21 with the higher total score (referred to as global score) indicating worse sleep quality
|
Baseline and through study completion, an average of 1 week
|
|
Patient-reported outcomes (PROMs)
Time Frame: Through study completion, an average of 1 week
|
The Glucose Monitoring System Satisfaction Survey (GMSS) will be used to assess patients' satisfaction with their continuous glucose monitoring (CGM) system.
GMSS is a 15-item questionnaire with a score range of 1 to 5. Higher scores indicate greater satisfaction.
|
Through study completion, an average of 1 week
|
Collaborators and Investigators
Sponsor
Publications and helpful links
General Publications
- Simmons D, Immanuel J, Hague WM, Teede H, Nolan CJ, Peek MJ, Flack JR, McLean M, Wong V, Hibbert E, Kautzky-Willer A, Harreiter J, Backman H, Gianatti E, Sweeting A, Mohan V, Enticott J, Cheung NW; TOBOGM Research Group. Treatment of Gestational Diabetes Mellitus Diagnosed Early in Pregnancy. N Engl J Med. 2023 Jun 8;388(23):2132-2144. doi: 10.1056/NEJMoa2214956. Epub 2023 May 5.
- Driesman AS, Konopka JA, Feder O, Aggarwal V, Schwarzkopf R. Management Principles of Massive Acetabular Bone Loss in Revision Total Hip Arthroplasty A Review of the Literature. Bull Hosp Jt Dis (2013). 2023 Mar;81(1):4-10.
- Dai J, Liu D, Yin X, Wen X, Cai G, Zheng L. Anisotropic Elastomer Ionomer Composite-Based Strain Sensors: Achieving High Sensitivity and Wide Detection for Human Motion Detection and Wireless Transmission. ACS Sens. 2024 Apr 26;9(4):2156-2165. doi: 10.1021/acssensors.4c00274. Epub 2024 Apr 17.
- Lin S, Pan X, Meng D, Zhang T. Electric conversion treatment of cobalt-containing wastewater. Water Sci Technol. 2021 Apr;83(8):1973-1986. doi: 10.2166/wst.2021.101.
- Kawada T. Psychosocial factors and mortality in patients with heart failure. Eur J Heart Fail. 2018 Aug;20(8):1243. doi: 10.1002/ejhf.1208. Epub 2018 Apr 24. No abstract available.
- Murphy HR, Howgate C, O'Keefe J, Myers J, Morgan M, Coleman MA, Jolly M, Valabhji J, Scott EM, Knighton P, Young B, Lewis-Barned N; National Pregnancy in Diabetes (NPID) advisory group. Characteristics and outcomes of pregnant women with type 1 or type 2 diabetes: a 5-year national population-based cohort study. Lancet Diabetes Endocrinol. 2021 Mar;9(3):153-164. doi: 10.1016/S2213-8587(20)30406-X. Epub 2021 Jan 28.
Study record dates
Study Major Dates
Study Start (Estimated)
Primary Completion (Estimated)
Study Completion (Estimated)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- P/25-041
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
product manufactured in and exported from the U.S.
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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