The purpose of this study is to collect a variety of clinical data and blood glucose changes using a continuous glucose monitoring device for high-risk diabetes patients (prediabetes) in order to develop a personalized diabetes prevention and management platform based on artificial intelligence model using mathematical analysis.
After being informed about the study and potential risks, all patients giving written informed consent wear a continuous glucose monitoring device ("iPro2" professional continuous glucose monitoring, MedtronicⓇ, California, USA) and smart band ("Fitbit Inspire HR", FitbitⓇ, California, USA) for 1 week. During this period, all patients are tested oral glucose tolerance test and take a standard diet (calorie calculated) at morning. The patient's data from this study is compared to a predicted values by mathematical analysis model for diabetes prevention.
Study Type
OBSERVATIONAL
Enrollment
130
wearing continuous glucose monitoring device (iPro2 professional continuous glucose monitoring, MedtronicⓇ, California, USA)
Pusan national university hospital
Busan, South Korea
Number of Participants With Insulin Resistance
the prevalence of insulin resistance in participants was measured. Insulin resistance was calculated by HOMA-IR(homeostatic model assessment of insulin resistance), QUICKI (quantitative insulin sensitivity check index) and Matsuda index
Time frame: 1 week
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