Artificial Intelligence Assisted Insulin Titration System
NCT ID: NCT04053959
Last Updated: 2020-07-27
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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COMPLETED
PHASE4
46 participants
INTERVENTIONAL
2019-09-27
2020-04-15
Brief Summary
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Detailed Description
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Conditions
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Study Design
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RANDOMIZED
PARALLEL
TREATMENT
DOUBLE
Study Groups
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AI Group
Artificial intelligence assisted insulin titration system group
AI assisted insulin system
The patients receive the insulin regime set by AI assisted insulin titration system
Control Group
Physicians decided insulin titration group
Physician based insulin regime
Patients receive the insulin regime recommended by physicians
Interventions
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AI assisted insulin system
The patients receive the insulin regime set by AI assisted insulin titration system
Physician based insulin regime
Patients receive the insulin regime recommended by physicians
Eligibility Criteria
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Inclusion Criteria
* Subjects who had been diagnosed with type 2 diabetes;
* Subjects who are on treatment with insulin for at least 3 months;
* HbA1c: 7.0%-11.0%.
Exclusion Criteria
* Subjects who change the insulin regimens during hospitalization;
* BMI ≥ 45kg/m2;
* Women who are pregnant or nursing;
* Subjects with severe cardiac, hepatic, renal or general diseases;
* Subjects with psychiatric disorders or impaired cognitive function;
* Subjects with severe edema, infections or peripheral circulation disorders;
* Patients treated with surgery during hospitalization;
* Subjects that are, in the judgement of the investigator, unlikely to comply with the protocol.
18 Years
75 Years
ALL
No
Sponsors
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Shanghai Zhongshan Hospital
OTHER
Responsible Party
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Principal Investigators
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Xiaoying Li, MD
Role: PRINCIPAL_INVESTIGATOR
Fudan University
Locations
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180 Fenglin Road
Shanghai, , China
Countries
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References
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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.
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.
Ji LN, Lu JM, Guo XH, Yang WY, Weng JP, Jia WP, Zou DJ, Zhou ZG, Yu DM, Liu J, Shan ZY, Yang YZ, Hu RM, Zhu DL, Yang LY, Chen L, Zhao ZG, Li QF, Tian HM, Ji QH, Liu J, Ge JP, Shi LX, Xu YC. Glycemic control among patients in China with type 2 diabetes mellitus receiving oral drugs or injectables. BMC Public Health. 2013 Jun 21;13:602. doi: 10.1186/1471-2458-13-602.
Davies M, Storms F, Shutler S, Bianchi-Biscay M, Gomis R; ATLANTUS Study Group. Improvement of glycemic control in subjects with poorly controlled type 2 diabetes: comparison of two treatment algorithms using insulin glargine. Diabetes Care. 2005 Jun;28(6):1282-8. doi: 10.2337/diacare.28.6.1282.
Oyer DS, Shepherd MD, Coulter FC, Bhargava A, Brett J, Chu PL, Trippe BS; INITIATEplus Study Group. A(1c) control in a primary care setting: self-titrating an insulin analog pre-mix (INITIATEplus trial). Am J Med. 2009 Nov;122(11):1043-9. doi: 10.1016/j.amjmed.2008.12.026.
Yang W, Zhu L, Meng B, Liu Y, Wang W, Ye S, Sun L, Miao H, Guo L, Wang Z, Lv X, Li Q, Ji Q, Zhao W, Yang G. Subject-driven titration of biphasic insulin aspart 30 twice daily is non-inferior to investigator-driven titration in Chinese patients with type 2 diabetes inadequately controlled with premixed human insulin: A randomized, open-label, parallel-group, multicenter trial. J Diabetes Investig. 2016 Jan;7(1):85-93. doi: 10.1111/jdi.12364. Epub 2015 May 25.
Harris S, Yale JF, Dempsey E, Gerstein H. Can family physicians help patients initiate basal insulin therapy successfully?: randomized trial of patient-titrated insulin glargine compared with standard oral therapy: lessons for family practice from the Canadian INSIGHT trial. Can Fam Physician. 2008 Apr;54(4):550-8.
Rigla M, Garcia-Saez G, Pons B, Hernando ME. Artificial Intelligence Methodologies and Their Application to Diabetes. J Diabetes Sci Technol. 2018 Mar;12(2):303-310. doi: 10.1177/1932296817710475. Epub 2017 May 25.
Ashrafzadeh S, Hamdy O. Patient-Driven Diabetes Care of the Future in the Technology Era. Cell Metab. 2019 Mar 5;29(3):564-575. doi: 10.1016/j.cmet.2018.09.005. Epub 2018 Sep 27.
Thabit H, Hartnell S, Allen JM, Lake A, Wilinska ME, Ruan Y, Evans ML, Coll AP, Hovorka R. Closed-loop insulin delivery in inpatients with type 2 diabetes: a randomised, parallel-group trial. Lancet Diabetes Endocrinol. 2017 Feb;5(2):117-124. doi: 10.1016/S2213-8587(16)30280-7. Epub 2016 Nov 9.
Bally L, Thabit H, Hartnell S, Andereggen E, Ruan Y, Wilinska ME, Evans ML, Wertli MM, Coll AP, Stettler C, Hovorka R. Closed-Loop Insulin Delivery for Glycemic Control in Noncritical Care. N Engl J Med. 2018 Aug 9;379(6):547-556. doi: 10.1056/NEJMoa1805233. Epub 2018 Jun 25.
Other Identifiers
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ZSE-201902
Identifier Type: -
Identifier Source: org_study_id
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