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 |
|---|---|
| LifeScan | INDUSTRY |
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
This overall research goal will be to develop a mobile-based module to improve glycemic control during the menstrual cycle in women with Type 1 diabetes mellitus (T1DM). This module will run on an Android Operating System (OS) and will be available as: (i) a stand-alone application and (ii) an important additional component to a larger system, the Diabetes Assistant (DiAs) - a mobile-based medical platform for diabetes applications. This proposal aims to build one such application or module targeting the improvement of diabetes control in younger women who experience glucose variation related to their menstrual cycle.
The purpose of this particular protocol is to study the underlying glycemic variability across the menstrual cycle in women with T1DM. A subset of premenopausal women with T1DM experience loss of glucose control during the latter half of the cycle (the luteal phase). Clinical trials are sparse and tools are limited to focus on this aspect of diabetes care which is highly relevant in affected individuals. To obtain data to initialize this mobile-based module, we will enroll premenopausal women for approximately three-month outpatient study designed to characterize at least three complete menstrual cycles. These subjects will wear continuous glucose monitors (CGMs), record self-monitored blood glucoses (SMBGs) and utilize an insulin pump to capture insulin dosing. In-home ovulation kits will be used to determine relevant days for sex-steroid blood measurements to define menstrual cycle phases. Finally, structured at-home meals will be provided during different phases of the menstrual cycle for insulin action parameters assessments.
The software module will be developed in parallel with the data collection from study subjects. The software module will not be used with the patients in this study as it is not in existence as would be developed in parallel. The goal of the module functionality will be to 1) assist patients and providers in the identification and management of glycemic variability surrounding the menstrual cycle and 2) add value to and become an integral module within the artificial pancreas.
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
| Measure | Description | Time Frame |
|---|---|---|
| High Blood Glucose Index (HBGI) | Measure of Hyperglycemic Risk based on frequency and severity of hyperglycemic events. HBGI < 4.5 is associated with lower risk of hyperglycemia, 4.5 < HBGI < 9 is associated with a moderate risk of hyperglycemia and HBGI > 9 is associated with high risk of hyperglycemia. Our primary outcome measure is hyperglycemia risk during the luteal phase of the menstrual cycle. The primary hypothesis is there is an increased hyperglycemia risk during the luteal phase when compared to the follicular phase. Subjects will be compared to themselves across the three menstrual cycles captured. Hyperglycemia will be primarily assessed by high blood glucose index which was assessed over 3 menstrual cycles at specific time points in the cycle. | Three menstrual cycles (average length of one cycle was 28.7 days) |
| Measure | Description | Time Frame |
|---|---|---|
| Glycemic Changes During Luteal Phase | Changes in estrogen and progesterone will be primary drivers of hyperglycemia risk during the luteal phase. These data will be analyzed as continuous variables. | Three Menstrual Cycles |
Not provided
Inclusion Criteria:
Exclusion Criteria:
List any restrictions on use of other drugs or treatments.
Not provided
Not provided
Fifteen premenopausal women with menstrual cycles, 18-55 years of age, who have been diagnosed as type 1 diabetic for at least 2 years. Actively using a current insulin pump for the past 6 months with pre-defined parameters for glucose goal, carbohydrate ratio, and insulin sensitivity factor. Use of medication or intervention that significantly alters the menstrual cycle such as oral contraceptives, depoprovera, or intrauterine device (IUD)is prohibited.
Not provided
| Name | Affiliation | Role |
|---|---|---|
| Sue A. Brown, MD | University of Virginia | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| University of Virginia Center for Diabetes Technology | Charlottesville | Virginia | 22904 | United States |
Direct request of Principal Investigator.
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
| ID | Title | Description |
|---|---|---|
| FG000 | Female T1DM | Premenopausal women with menstrual cycles, 18-55 years of age, who have been diagnosed as type 1 diabetic for at least 2 years. Actively using a current insulin pump for the past 6 months with pre-defined parameters for glucose goal, carbohydrate ratio, and insulin sensitivity factor. Use of medication or intervention that significantly alters the menstrual cycle such as oral contraceptives, depoprovera, or intrauterine device (IUD)is prohibited. |
| Title | Milestones | Reasons Not Completed | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Overall Study |
|
Not provided
Not provided
| ID | Title | Description |
|---|---|---|
| BG000 | Female T1DM | Premenopausal women with menstrual cycles, 18-55 years of age, who have been diagnosed as type 1 diabetic for at least 2 years. Actively using a current insulin pump for the past 6 months with pre-defined parameters for glucose goal, carbohydrate ratio, and insulin sensitivity factor. Use of medication or intervention that significantly alters the menstrual cycle such as oral contraceptives, depoprovera, or intrauterine device (IUD)is prohibited. |
| Units | Counts |
|---|---|
| Participants |
|
| Title | Description | Population Description | Parameter Type | Dispersion Type | Unit of Measure | Calculate Percentage | Denominator Units Selected | Denominators | Classes |
|---|---|---|---|---|---|---|---|---|---|
| Age, Categorical | Count of Participants |
| Type | Title | Description | Population Description | Reporting Status | Anticipated Posting Date | Parameter Type | Dispersion Type | Unit of Measure | Calculate Percentage | Time Frame | Units Analyzed | Denominator Units Selected | Arm/Group Information | Denominators | Classes | Analyses | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Primary | High Blood Glucose Index (HBGI) | Measure of Hyperglycemic Risk based on frequency and severity of hyperglycemic events. HBGI < 4.5 is associated with lower risk of hyperglycemia, 4.5 < HBGI < 9 is associated with a moderate risk of hyperglycemia and HBGI > 9 is associated with high risk of hyperglycemia. Our primary outcome measure is hyperglycemia risk during the luteal phase of the menstrual cycle. The primary hypothesis is there is an increased hyperglycemia risk during the luteal phase when compared to the follicular phase. Subjects will be compared to themselves across the three menstrual cycles captured. Hyperglycemia will be primarily assessed by high blood glucose index which was assessed over 3 menstrual cycles at specific time points in the cycle. | Posted | Mean | Standard Error | index score | Three menstrual cycles (average length of one cycle was 28.7 days) |
|
Not provided
Not provided
Not provided
| ID | Title | Description | Deaths (Affected) | Deaths (At Risk) | Serious Events (Affected) | Serious Events (At Risk) | Other Events (Affected) | Other Events (At Risk) |
|---|---|---|---|---|---|---|---|---|
| EG000 | Female T1DM | Twelve premenopausal women with menstrual cycles, 18-55 years of age, who have been diagnosed as type 1 diabetic for at least 2 years. Actively using a current insulin pump for the past 6 months with pre-defined parameters for glucose goal, carbohydrate ratio, and insulin sensitivity factor. Use of medication or intervention that significantly alters the menstrual cycle such as oral contraceptives, depoprovera, or intrauterine device (IUD)is prohibited. |
Not provided
Not provided
Not provided
| Title | Organization | Phone | Extension | |
|---|---|---|---|---|
| Sue Brown, MD | Univerisity of Virginia | sab2f@virginia.edu |
Not provided
| ID | Term |
|---|---|
| D003922 | Diabetes Mellitus, Type 1 |
| ID | Term |
|---|---|
| D003920 | Diabetes Mellitus |
| D044882 | Glucose Metabolism Disorders |
| D008659 | Metabolic Diseases |
| D009750 | Nutritional and Metabolic Diseases |
Not provided
Not provided
Not provided
Not provided
Not provided
At each follow-up visit #3-13, blood will be taken to sample estradiol, progesterone, luteinizing hormone (LH), follicle-stimulating hormone (FSH), total testosterone and sex-hormone binding globulin (SHBG). At the end of study visit #14, a hemoglobin A1c will be measured.
| Participants |
|
| Age, Continuous | Mean | Standard Deviation | years |
|
| Sex: Female, Male | Count of Participants | Participants |
|
|
|
|
| Secondary | Glycemic Changes During Luteal Phase | Changes in estrogen and progesterone will be primary drivers of hyperglycemia risk during the luteal phase. These data will be analyzed as continuous variables. | Posted | Mean | Standard Error | pg/mL | Three Menstrual Cycles |
|
|
|
| 0 |
| 15 |
| 0 |
| 15 |
Not provided
Not provided
Not provided
| D004700 | Endocrine System Diseases |
| D001327 | Autoimmune Diseases |
| D007154 | Immune System Diseases |
| Title | Measurements |
|---|---|
|
| Estradiol: Mid-Luteal |
|
| Estradiol: Late Luteal |
|