The primary purpose of this study is to use multiomic data in combination with clinical assessments, electronic health records, cognitive and mood assessments, wearable technologies and lifestyle/behavioral data to identify data elements or combinations of data elements with strong positive or negative correlation to CKD diagnosis and/or progression in Type 2 Diabetes (T2D) patients. Achieving this aim will allow researchers and physicians to significantly improve the prediction of health trajectories of and formulate novel strategies to potentially prevent, treat or reverse T2D. South Carolina Medicaid-enrolled patients diagnosed with T2D and a smaller subset of non-T2D SC Medicaid patients may participate in this study. Participants who complete required procedures will be compensated for their time and transportation, may keep their study-provided Fitbit device to help maintain their healthcare improvement journey, and will have a personal Certified Diabetes Educator to consult and assist with managing their diabetes diagnosis.
40 to 70 years of age (inclusive) at enrollment
Enrolled as Medicaid recipients
Ability to provide informed consent and authorization for release of relevant protected health information or personal data
Ability to provide a blood sample(s) of up to 70 mL and other required biospecimens, including genetic samples.
Pregnancy at time of enrollment (by self-report of pregnancy status)
Lack of fluency in spoken and written English
Type 1 diabetes or any other type of diabetes besides Type 2 diabetes
Active cancer diagnosis or cancer that achieved complete remission within three (3) years prior to enrollment, other than non-melanoma skin cancer (e.g. malignant basal cell neoplasm of skin and/or squamous cell carcinoma of skin)
South Carolina Medicaid-enrolled participants
Case-control
Prospective
Not applicable- observational study
Other interventionNon-interventional biospecimen and data collection study.
Identify data elements or combinations of data elements with strong positive or negative correlation to Chronic Kidney Disease diagnosis and/or progression in Type 2 Diabetes patients
Perform omics and clinical labs on blood and stool, administer surveys, and analyze medical record data
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Guardian Research Network, Inc.
Lead sponsor
South Carolina Department of Health and Human Services
Collaborator
Spartanburg Regional Healthcare System
Collaborator
