Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
| Name | Class |
|---|---|
| COR-Medical LLC | UNKNOWN |
| Iridium LLC | UNKNOWN |
Not provided
Not provided
Not provided
Not provided
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.
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.
Not provided
Not provided
Not provided
Not provided
| Label | Type | Description | Intervention Names |
|---|---|---|---|
| CGM group | Experimental | Participants with prediabetes will be provided with a Real-Time Continuous Glucose Monitoring (RT-CGM) device to monitor their blood glucose along with educational materials to better understand and manage their prediabetes and other supporting services. Pre and post intervention surveys and investigation will be implemented. Participants will be utilizing RT-CGM device for 28 days and then followed up for 3-month participation. |
|
| traditional fingerstick glucometer | Active Comparator | Participants with prediabetes will be provided with traditional fingerstick glucometer device to self-monitor their blood glucose along with educational materials to better understand and manage their prediabetes and other supporting services. Pre and post intervention surveys and investigation will be implemented. Participants will be utilizing glucometer with at least 2-3 measurements per week for 28 days and then followed up for 3-month participation. |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| CGM Sibionics | Device | A registered medical device for real-time monitoring of glucose levels in interstitial fluid. |
|
| Measure | Description | Time Frame |
|---|---|---|
| Changes in HbA1c level | HbA1c in % | at 3 month (end of follow-up period) |
| Changes in Fructosamine level | Fructosamine in μmol/L | at 3 month (end of intervention period) |
| Measure | Description | Time Frame |
|---|---|---|
| Homeostatic Model Assessment of Insulin Resistance (HOMA2-IR) | 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). | at 3 month (follow-up period) compared to baseline |
Not provided
Inclusion Criteria:
Exclusion Criteria:
Not provided
Not provided
Not provided
Not provided
Not provided
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Nazarii Kobyliak, Professor | Contact | +380442356005 | nazariikobyliak@gmail.com | |
| Ilona Rudneva, Dr | Contact | 0442356005 | ilonarudneva57@gmail.com |
| Name | Affiliation | Role |
|---|---|---|
| Nazarii Kobyliak | Bogomolets National Medical University | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Bogomoletz Institute of Physiology | Enrolling by invitation | Kyiv | 01024 | Ukraine | ||
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
| ID | Term |
|---|---|
| D018149 | Glucose Intolerance |
| D009765 | Obesity |
| D050177 | Overweight |
| D007333 | Insulin Resistance |
| D011236 | Prediabetic State |
| ID | Term |
|---|---|
| D006943 | Hyperglycemia |
| D044882 | Glucose Metabolism Disorders |
| D008659 | Metabolic Diseases |
| D009750 | Nutritional and Metabolic Diseases |
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
| On-Call Extra Glucometer | Device | Capillary glucose monitoring using fingerstick glucometer as per standard care. |
|
| insulin sensitivity (%S) | This model can be calculated using the software supplied by the Oxford Centre for Diabetes Endocrinology and Metabolism | at 3 month (follow-up period) compared to baseline |
| β-cell function (%B) | This model can be calculated using the software supplied by the Oxford Centre for Diabetes Endocrinology and Metabolism | at 3 month (follow-up period) compared to baseline |
| body mass index (BMI) | weight in kg and height in meters will be combined to report BMI in kg/m^2 | at 1 month (end of intervention) and 3 month (follow-up period) compared to baseline |
| waist circumferences (WC) | WC in cm | at 1 month (end of intervention) and 3 month (follow-up period) compared to baseline |
| visceral fat content | visceral fat content using electronic scales-analyzers of body composition Huawei (Smart Scale series 3/3 Pro | at 1 month (end of intervention) and 3 month (follow-up period) compared to baseline |
| Total Cholesterol (TC) | TC in mmol/l | at 3 month (follow-up period) compared to baseline |
| Tryglicerides (TG) | TG in mmol/l | at 3 month (follow-up period) compared to baseline |
| LDL-Cholesterol (LDL-C) | LDL-C in mmol/l | at 3 month (follow-up period) compared to baseline] |
| Physical activity levels | Daily number of steps as measured by a sealed pedometer | at 1 month (end of intervention) and 3 month (follow-up period) compared to baseline |
| Quality of Life Evaluation: Medical Outcomes Study Short-Form 36 (SF-36) | 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. | at 1 month (end of intervention) and 3 month (follow-up period) compared to baseline |
| Bogomolets National Medical University |
| Recruiting |
| Kyiv |
| 01601 |
| Ukraine |
|
| University Hospital of Bogomolets National Medical University | Recruiting | Kyiv | 01601 | Ukraine |
|
| D044343 | Overnutrition |
| D009748 | Nutrition Disorders |
| D001835 | Body Weight |
| D012816 | Signs and Symptoms |
| D013568 | Pathological Conditions, Signs and Symptoms |
| D006946 | Hyperinsulinism |
| D003920 | Diabetes Mellitus |
| D004700 | Endocrine System Diseases |