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This is a multi-center, open-labeled, parallel group, randomized controlled trial to access the effect and safety of the Artificial Intelligence Assisted Insulin Titration System (iNCDSS) in patients with Type 2 Diabetes Mellitus.
As one of the most common treatments for diabetes inpatients, insulin regimens often vary due to different physicians. Since 2016, Zhongshan Hospital has set up the Internet-based glucose management system (iGMS) to monitor plasma glucose of diabetes patients, and further set up an Artificial Intelligence Assisted Insulin Titration System (iNCDSS) to recommend insulin regime in 2019. Previous single-center clinical trial (NCT04053959) have demonstrated the efficacy and safety of iNCDSS in glycemic management in patients with type 2 diabetes.
This multi-center study enrolls 120 patients with Type 2 Diabetes from 20 wards of Zhongshan Hospital who are on treatment with insulin for at least 3 months. They are randomly allocated into 2 groups at a ratio of 1:1 after screening for the inclusion and exclusion criteria. Patients in the Intervention group (AI group) receive insulin regimen set by iNCDSS and patients in Control group receive insulin regimen recommended by endocrinologists.
This study will be conducted in the Department of Endocrinology, Zhongshan Hospital,Fudan University and consist of a 7-day intervention period. Patient allocation will be stratified by HbA1c, BMI and previous total insulin doses. The primary endpoint is the fasting plasma glucose level after the 7-days trial period.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| AI group | Experimental | iGMS+iNCDSS group (Artificial intelligence assisted insulin titration system group) |
|
| Control group | Active Comparator | iGMS+routine treatment group (Physicians decided insulin titration group) |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| iNCDSS based insulin regime | Drug | Patients of this group will receive the insulin regime set by the AI assisted insulin titration system (iNCDSS). |
|
| Measure | Description | Time Frame |
|---|---|---|
| Fasting plasma glucose of T2D patients | Fasting plasma glucose of T2D patients by self-monitoring of bloodglucose (SMBG) in both groups | After 7-day intervention |
| Measure | Description | Time Frame |
|---|---|---|
| Well-controlled rate of fasting blood glucose | The well-controlled rate of blood glucose is defined as proportion of the time of sensor glucose measurements in targeted range | During 7-day intervention |
| Incidence of hypoglycemia |
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Inclusion Criteria:
Exclusion Criteria:
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| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Hua Bian | Contact | +8613681976102 | bianhuaer@126.com |
| Name | Affiliation | Role |
|---|---|---|
| Hua Bian | Shanghai Zhongshan Hospital | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Zhongshan Hospital | Recruiting | Shanghai | Shanghai Municipality | 200032 | China |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 24002281 | Background | Xu Y, Wang L, He J, Bi Y, Li M, Wang T, Wang L, Jiang Y, Dai M, Lu J, Xu M, Li Y, Hu N, Li J, Mi S, Chen CS, Li G, Mu Y, Zhao J, Kong L, Chen J, Lai S, Wang W, Zhao W, Ning G; 2010 China Noncommunicable Disease Surveillance Group. Prevalence and control of diabetes in Chinese adults. JAMA. 2013 Sep 4;310(9):948-59. doi: 10.1001/jama.2013.168118. | |
| 25848699 |
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| ID | Term |
|---|---|
| D003924 | Diabetes Mellitus, Type 2 |
| ID | Term |
|---|---|
| D003920 | Diabetes Mellitus |
| D044882 | Glucose Metabolism Disorders |
| D008659 | Metabolic Diseases |
| D009750 | Nutritional and Metabolic Diseases |
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| Physician based insulin regime | Drug | Patients of this group will receive the insulin regime recommended by professional endocrinologists. |
|
|
The hypoglycemia is defined as blood glucose level less than 3.9mmol/L.
| During 7-day intervention |
| Total insulin dose | The total insulin dose is defined as daily insulin dose. | During 7-day intervention |
| Zhongshan Hospital, Fudan University | Recruiting | Shanghai | China |
|
| Wang T, Xu Y, Xu M, Wang W, Bi Y, Lu J, Dai M, Zhang D, Ding L, Xu B, Sun J, Zhao W, Jiang Y, Wang L, Li Y, Zhang M, Lai S, Wang L, Ning G. Awareness, treatment and control of cardiometabolic disorders in Chinese adults with diabetes: a national representative population study. Cardiovasc Diabetol. 2015 Feb 26;14:28. doi: 10.1186/s12933-015-0191-6. |
| 26246173 | Background | Fox CS, Golden SH, Anderson C, Bray GA, Burke LE, de Boer IH, Deedwania P, Eckel RH, Ershow AG, Fradkin J, Inzucchi SE, Kosiborod M, Nelson RG, Patel MJ, Pignone M, Quinn L, Schauer PR, Selvin E, Vafiadis DK; American Heart Association Diabetes Committee of the Council on Lifestyle and Cardiometabolic Health, Council on Clinical Cardiology, Council on Cardiovascular and Stroke Nursing, Council on Cardiovascular Surgery and Anesthesia, Council on Quality of Care and Outcomes Research, and the American Diabetes Association. Update on Prevention of Cardiovascular Disease in Adults With Type 2 Diabetes Mellitus in Light of Recent Evidence: A Scientific Statement From the American Heart Association and the American Diabetes Association. Circulation. 2015 Aug 25;132(8):691-718. doi: 10.1161/CIR.0000000000000230. Epub 2015 Aug 5. |
| 28723317 | Background | Rawshani A, Rawshani A, Gudbjornsdottir S. Mortality and Cardiovascular Disease in Type 1 and Type 2 Diabetes. N Engl J Med. 2017 Jul 20;377(3):300-301. doi: 10.1056/NEJMc1706292. No abstract available. |
| 29848472 | Background | Contreras I, Vehi J. Artificial Intelligence for Diabetes Management and Decision Support: Literature Review. J Med Internet Res. 2018 May 30;20(5):e10775. doi: 10.2196/10775. |
| D004700 | Endocrine System Diseases |