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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.
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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.
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Data sourced from clinicaltrials.gov
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