CGM Sibionics
DeviceA registered medical device for real-time monitoring of glucose levels in interstitial fluid.
NCT Number: NCT07599072
This prospective, randomized controlled trial evaluates whether real-time continuous glucose monitoring (CGM) improves glycemic control and lifestyle adherence in adults with prediabetes compared to conventional self-monitoring methods over a 3-month period. By analyzing metabolic markers and behavioral data, the study aims to determine the effectiveness of 24-hour monitoring as a personalized tool that increases patient adherence to lifestyle changes compared to conventional SMBG methods.
Interested in participating?
Request Info18 year and older
All sexes
Interventional
Not applicable
Bogomolets National Medical University, Kyiv, Ukraine
Prediabetes is considered a critical stage at which effective prevention of the development of diabetes is possible, provided that early detection and adequate glycemic control. International clinical guidelines and multicenter studies suggest that early intensive glycemic control is associated with a better prognosis and a reduced risk of complications. However, standard self-monitoring has limited information on glycemic variability, which is especially important in the early stages of carbohydrate metabolism disorders, including prediabetes. Routine indicators such as fasting blood glucose, 1 and 2 hours after a meal, and glycated hemoglobin (HbA1c) do not always clearly differentiate between diabetes, prediabetes, and normal carbohydrate metabolism. Recently, there has been a need for more comprehensive blood glucose monitoring strategies that cover the entire spectrum of glycemic variability. Continuous glucose monitoring (CGMs) technology provides real-time glucose concentration data, overcoming the limitations of traditional monitoring methods. Recently, not only among people with diabetes, but also among people with prediabetes, there has been an increasing trend towards using CGM as a personal device to monitor glucose levels and promote healthy habits such as increased activity, diet, and sleep. Their motivation is to improve their own glycemic control and avoid the future development of diabetes and its associated complications, to optimize blood glucose levels to achieve peak mental or physical performance, and to use personal monitoring data to develop sustainable behavioral skills. The contactless 24-hour monitoring system is considered a promising tool for personalized glycemic control, but its use in people with prediabetes has not been studied enough This is a prospective, open-label, randomized controlled trial involving 80 adult patients with prediabetes recruited at the Bogomolets National Medical University. Participants were randomized in a 1:1 ratio to either the Real-Time Continuous Glucose Monitoring (CGM group) or the control group (standard Self-Monitoring of Blood Glucose [SMBG] using conventional glucometers). Participants will undergo a 3-month observation period. The use of the assigned monitoring devices (CGM or SMBG glucometer) and pedometers will last for the first 1 month. The study consists of three visits: Visit 1 (baseline), Visit 2 (1 month, end of intervention), and Visit 3 (3 months, follow-up period). During these visits, researchers will collect data on glycated hemoglobin (HbA1c), fructosamine, Cpeptide, HOMA-IR index, lipid profile, anthropometric indicators (body mass index (BMI), waist circumference), bioimpedance measurement, physical activity monitoring using pedometers, and SF-36 questionnaire to assess quality of life.
The gathered data will help determine whether continuous monitoring provided by CGM systems improves glycemic control and increases patient adherence to lifestyle changes compared to conventional SMBG methods.
Healthy volunteers accepted: No
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
A registered medical device for real-time monitoring of glucose levels in interstitial fluid.
Capillary glucose monitoring using fingerstick glucometer as per standard care.
Time frame: at 3 month (end of follow-up period)
HbA1c in %
Time frame: at 3 month (end of intervention period)
Fructosamine in μmol/L
Time frame: at 3 month (follow-up period) compared to baseline
HOMA2-IR will be calculated based on fasting plasma glucose and fasting serum insulin levels using the non-linear Homeostasis Model Assessment. The score is continuous, theoretically starting from 0, where higher values indicate greater insulin resistance (a worse clinical outcome).
Time frame: at 3 month (follow-up period) compared to baseline
This model can be calculated using the software supplied by the Oxford Centre for Diabetes Endocrinology and Metabolism
Time frame: at 3 month (follow-up period) compared to baseline
This model can be calculated using the software supplied by the Oxford Centre for Diabetes Endocrinology and Metabolism
Time frame: at 1 month (end of intervention) and 3 month (follow-up period) compared to baseline
weight in kg and height in meters will be combined to report BMI in kg/m^2
Time frame: at 1 month (end of intervention) and 3 month (follow-up period) compared to baseline
WC in cm
Time frame: at 1 month (end of intervention) and 3 month (follow-up period) compared to baseline
visceral fat content using electronic scales-analyzers of body composition Huawei (Smart Scale series 3/3 Pro
Time frame: at 3 month (follow-up period) compared to baseline
TC in mmol/l
Time frame: at 3 month (follow-up period) compared to baseline
TG in mmol/l
Time frame: at 3 month (follow-up period) compared to baseline]
LDL-C in mmol/l
Time frame: at 1 month (end of intervention) and 3 month (follow-up period) compared to baseline
Daily number of steps as measured by a sealed pedometer
Time frame: at 1 month (end of intervention) and 3 month (follow-up period) compared to baseline
Health-related quality of life will be evaluated using the Medical Outcomes Study Short-Form 36 (SF-36) questionnaire. The SF-36 consists of 36 items measuring 8 health domains, which are aggregated into two summary scores: the Physical Component Summary (PCS) and the Mental Component Summary (MCS). For each domain and summary score, values are transformed to a scale ranging from a minimum of 0 to a maximum of 100. Higher scores represent better health status and a better quality of life outcome.
Contact information is provided by the study sponsor or research team.
Ilona Rudneva, Dr
CONTACT
Nazarii Kobyliak, Professor
CONTACT
Nazarii Kobyliak
Other
Evaluation of the Impact of Continuous Glucose Monitoring (CGM) Systems on Glycemic Control in People With Prediabetes: Postmarketing Clinical Study
Acronym: PRE-GLIDE
OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.
View the official ClinicalTrials.gov record (opens in a new tab)This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.
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