Development of Continuous Glucose Monitoring System Cohort for Personalized Diabetes Prevention and Management Platform
1 other identifier
observational
130
1 country
1
Brief Summary
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.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P50-P75 for all trials
Started May 2020
Shorter than P25 for all trials
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
Click on a node to explore related trials.
Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
April 27, 2020
CompletedFirst Posted
Study publicly available on registry
April 30, 2020
CompletedStudy Start
First participant enrolled
May 11, 2020
CompletedPrimary Completion
Last participant's last visit for primary outcome
September 30, 2020
CompletedStudy Completion
Last participant's last visit for all outcomes
September 30, 2020
CompletedResults Posted
Study results publicly available
May 9, 2022
CompletedMay 9, 2022
February 1, 2022
5 months
April 27, 2020
March 13, 2021
February 26, 2022
Conditions
Outcome Measures
Primary Outcomes (1)
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
1 week
Study Arms (1)
continuous glucose monitoring group
all participants wearing a continuous glucose monitoring device
Interventions
wearing continuous glucose monitoring device (iPro2 professional continuous glucose monitoring, MedtronicⓇ, California, USA)
Eligibility Criteria
Subjects of pre-diabetes who visited the Department of Internal Medicine and division of Endodrinology \& Metabolism and the Health Examination Center, Pusan National University Hospital
You may qualify if:
- Above 18 years old.
- Prediabetes
- Fasting plasma glucose : 100\~125mg/dL, fasting is defined as no caloric intake for at least 8 hours.
- hour plasma glucose during 75g oral glucose tolerance test : 140 \~ 199mg/dL
- Glycated hemoglobin(HbA1c) : 5.7\~6.4% (39-47mmol/mol)
You may not qualify if:
- with a history of newly diagnosed and treated cancer within the last 5 years
- with a history of hospitalization for active disease within the last 3 months
- with a history of severe cardiovascular disease within the last 3 months
- with a history of steroid treatment in the last 3 months
- people who have had major surgery planned within the last 3 months or who have had surgery within 3 months
- people who are pregnant or have been in the last 3 months after giving birth
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Pusan national university hospital
Busan, 49241, South Korea
Related Publications (11)
Kang H, Han K, Jo J, Kim J, Choi MY. Systems of pancreatic beta-cells and glucose regulation. Front Biosci. 2008 May 1;13:6421-31. doi: 10.2741/3163.
PMID: 18508669BACKGROUNDHansen BC, Jen KC, Belbez Pek S, Wolfe RA. Rapid oscillations in plasma insulin, glucagon, and glucose in obese and normal weight humans. J Clin Endocrinol Metab. 1982 Apr;54(4):785-92. doi: 10.1210/jcem-54-4-785.
PMID: 7037815BACKGROUNDLang DA, Matthews DR, Peto J, Turner RC. Cyclic oscillations of basal plasma glucose and insulin concentrations in human beings. N Engl J Med. 1979 Nov 8;301(19):1023-7. doi: 10.1056/NEJM197911083011903.
PMID: 386121BACKGROUNDMendes-Soares H, Raveh-Sadka T, Azulay S, Edens K, Ben-Shlomo Y, Cohen Y, Ofek T, Bachrach D, Stevens J, Colibaseanu D, Segal L, Kashyap P, Nelson H. Assessment of a Personalized Approach to Predicting Postprandial Glycemic Responses to Food Among Individuals Without Diabetes. JAMA Netw Open. 2019 Feb 1;2(2):e188102. doi: 10.1001/jamanetworkopen.2018.8102.
PMID: 30735238BACKGROUNDKim BY, Won JC, Lee JH, Kim HS, Park JH, Ha KH, Won KC, Kim DJ, Park KS. Diabetes Fact Sheets in Korea, 2018: An Appraisal of Current Status. Diabetes Metab J. 2019 Aug;43(4):487-494. doi: 10.4093/dmj.2019.0067. Epub 2019 Jul 17.
PMID: 31339012BACKGROUNDHa KH, Lee YH, Song SO, Lee JW, Kim DW, Cho KH, Kim DJ. Development and Validation of the Korean Diabetes Risk Score: A 10-Year National Cohort Study. Diabetes Metab J. 2018 Oct;42(5):402-414. doi: 10.4093/dmj.2018.0014. Epub 2018 Jul 6.
PMID: 30113144BACKGROUNDLee YH, Bang H, Kim HC, Kim HM, Park SW, Kim DJ. A simple screening score for diabetes for the Korean population: development, validation, and comparison with other scores. Diabetes Care. 2012 Aug;35(8):1723-30. doi: 10.2337/dc11-2347. Epub 2012 Jun 11.
PMID: 22688547BACKGROUNDZeevi D, Korem T, Zmora N, Israeli D, Rothschild D, Weinberger A, Ben-Yacov O, Lador D, Avnit-Sagi T, Lotan-Pompan M, Suez J, Mahdi JA, Matot E, Malka G, Kosower N, Rein M, Zilberman-Schapira G, Dohnalova L, Pevsner-Fischer M, Bikovsky R, Halpern Z, Elinav E, Segal E. Personalized Nutrition by Prediction of Glycemic Responses. Cell. 2015 Nov 19;163(5):1079-1094. doi: 10.1016/j.cell.2015.11.001.
PMID: 26590418BACKGROUNDShapiro ET, Tillil H, Polonsky KS, Fang VS, Rubenstein AH, Van Cauter E. Oscillations in insulin secretion during constant glucose infusion in normal man: relationship to changes in plasma glucose. J Clin Endocrinol Metab. 1988 Aug;67(2):307-14. doi: 10.1210/jcem-67-2-307.
PMID: 3292558BACKGROUNDKraegen EW, Young JD, George EP, Lazarus L. Oscillations in blood glucose and insulin after oral glucose. Horm Metab Res. 1972 Nov;4(6):409-13. doi: 10.1055/s-0028-1094019. No abstract available.
PMID: 4655495BACKGROUNDSimon C, Brandenberger G, Follenius M. Ultradian oscillations of plasma glucose, insulin, and C-peptide in man during continuous enteral nutrition. J Clin Endocrinol Metab. 1987 Apr;64(4):669-74. doi: 10.1210/jcem-64-4-669.
PMID: 3102544BACKGROUND
Biospecimen
blood sample (for HbA1c, Total cholesterol, LDL-C, HDL-C, Triglyceride, aspartate aminotransferase, alanine aminotransferase, Creatinine, free fatty acid etc), Feces (for evaluating microbiomes)
MeSH Terms
Conditions
Interventions
Condition Hierarchy (Ancestors)
Intervention Hierarchy (Ancestors)
Results Point of Contact
- Title
- Dr. Sang Soo Kim
- Organization
- Pusan national university hospital
Study Officials
- PRINCIPAL INVESTIGATOR
Sang soo Kim, Master
Pusan National University Hospital
Publication Agreements
- PI is Sponsor Employee
- Yes
Study Design
- Study Type
- observational
- Observational Model
- COHORT
- Time Perspective
- PROSPECTIVE
- Target Duration
- 7 Days
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
April 27, 2020
First Posted
April 30, 2020
Study Start
May 11, 2020
Primary Completion
September 30, 2020
Study Completion
September 30, 2020
Last Updated
May 9, 2022
Results First Posted
May 9, 2022
Record last verified: 2022-02
Data Sharing
- IPD Sharing
- Will not share
The data are not publicly available due to privacy or ethical restrictions.