Artificial Intelligence Assisted Insulin Titration System

NCT ID: NCT04053959

Last Updated: 2020-07-27

Study Results

Results pending

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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Recruitment Status

COMPLETED

Clinical Phase

PHASE4

Total Enrollment

46 participants

Study Classification

INTERVENTIONAL

Study Start Date

2019-09-27

Study Completion Date

2020-04-15

Brief Summary

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This is a single-center, open-labeled, parallel group, randomized controlled trial to access the effect and safety of the Artificial Intelligence Assisted Insulin Titration System in patients with Type 2 Diabetes Mellitus.

Detailed Description

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The study enrolls 44 patients with Type 2 Diabetes in 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 receive insulin regimen set by the AI assisted system and patients in Control group receive insulin regimen set by physicians. 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 percentage of time of sensor glucose measurements in targeted range (3.9-10 mmol/L) during the 7-days trial period.

Conditions

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Type 2 Diabetes

Study Design

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Allocation Method

RANDOMIZED

Intervention Model

PARALLEL

A paralle group, randomized, controlled study to assess the effect and safety of artificial intelligence assisted insulin dosage titration system on glucose control in type 2 diabetic patients
Primary Study Purpose

TREATMENT

Blinding Strategy

DOUBLE

Participants Outcome Assessors
The research assistants who collect study outcome data will be masked to participants' intervention assignment. In addition, the adjudicators for end-points will not be aware of study-group assignments.

Study Groups

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AI Group

Artificial intelligence assisted insulin titration system group

Group Type EXPERIMENTAL

AI assisted insulin system

Intervention Type DRUG

The patients receive the insulin regime set by AI assisted insulin titration system

Control Group

Physicians decided insulin titration group

Group Type ACTIVE_COMPARATOR

Physician based insulin regime

Intervention Type DRUG

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

Intervention Type DRUG

Physician based insulin regime

Patients receive the insulin regime recommended by physicians

Intervention Type DRUG

Eligibility Criteria

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Inclusion Criteria

* Men or women aged 18-75 years old;
* 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 with acute complications of diabetes such as ketoacidosis or hyperglycemic hyperosmolar state;
* 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.
Minimum Eligible Age

18 Years

Maximum Eligible Age

75 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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Shanghai Zhongshan Hospital

OTHER

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

Principal Investigators

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Xiaoying Li, MD

Role: PRINCIPAL_INVESTIGATOR

Fudan University

Locations

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180 Fenglin Road

Shanghai, , China

Site Status

Countries

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China

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.

Reference Type BACKGROUND
PMID: 24002281 (View on PubMed)

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.

Reference Type BACKGROUND
PMID: 25848699 (View on PubMed)

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.

Reference Type BACKGROUND
PMID: 23800082 (View on PubMed)

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.

Reference Type BACKGROUND
PMID: 15920040 (View on PubMed)

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.

Reference Type BACKGROUND
PMID: 19854333 (View on PubMed)

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.

Reference Type BACKGROUND
PMID: 26816605 (View on PubMed)

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.

Reference Type BACKGROUND
PMID: 18411384 (View on PubMed)

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.

Reference Type BACKGROUND
PMID: 28539087 (View on PubMed)

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.

Reference Type BACKGROUND
PMID: 30269984 (View on PubMed)

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.

Reference Type BACKGROUND
PMID: 27836235 (View on PubMed)

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.

Reference Type BACKGROUND
PMID: 29940126 (View on PubMed)

Other Identifiers

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ZSE-201902

Identifier Type: -

Identifier Source: org_study_id

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