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Insulin Titration System Based on Deep Learning

Primary Purpose

Diabetes Mellitus Type 2 - Insulin-Treated

Status
Completed
Phase
Not Applicable
Locations
China
Study Type
Interventional
Intervention
Insulin Titration System
Sponsored by
Shanghai Zhongshan Hospital
About
Eligibility
Locations
Arms
Outcomes
Full info

About this trial

This is an interventional treatment trial for Diabetes Mellitus Type 2 - Insulin-Treated

Eligibility Criteria

18 Years - 75 Years (Adult, Older Adult)All SexesDoes not accept healthy volunteers

Inclusion Criteria:

  • type 2 diabetes
  • age of 18-75 years
  • HbA1c between 7.0% and 11.0%.

Exclusion Criteria:

  • subjects with acute complications of diabetes, such as ketoacidosis or hyperglycemic hyperosmolar state;
  • BMI ≥ 45kg/m2;
  • women who are pregnant or breast-feeding;
  • subjects with severe cardiac, hepatic, renal diseases; subjects with any psychiatric or psychological diseases;
  • subjects with severe edema, infections or peripheral circulation disorders, receiving surgery during hospitalization;
  • subjects who could not comply with the protocol

Sites / Locations

  • Department of Endocrinology, Zhongshan Hospital Fudan University

Arms of the Study

Arm 1

Arm Type

Experimental

Arm Label

AI

Arm Description

Insulin Titration System Based on Deep Learning

Outcomes

Primary Outcome Measures

mean daily blood glucose concentration
For each patient, capillary glucose concentration was measured at 7 time points of fasting, after breakfast, before and after lunch, before and after dinner, and before bedtime a day using Glucometer (Glupad, Sinomedisite, China). Capillary glucose measurements were performed by the nurse staff according to standard procedures with a point-of-care testing device, which is integrated into the HIS system. The primary outcome is the difference in glycemia control as measured by mean daily blood glucose concentration during the intervention period.

Secondary Outcome Measures

glucose concentration in target range (TIR) of 3.9-10.0 mmol/L
TIR measured by CGM and Capillary glucose measurements, respectively
glucose concentration above range (10.1-13.9 mmol/L or >13.9 mmol/L)
TAR measured by CGM and Capillary glucose measurements, respectively
glucose concentration below range (3.0-3.8 mmol/L or <3.0 mmol/L)
TBR measured by CGM and Capillary glucose measurements, respectively
glycemic variability
glycemic variability measured by CGM and Capillary glucose measurements, respectively

Full Information

First Posted
June 1, 2022
Last Updated
June 5, 2023
Sponsor
Shanghai Zhongshan Hospital
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1. Study Identification

Unique Protocol Identification Number
NCT05409391
Brief Title
Insulin Titration System Based on Deep Learning
Official Title
Study to Assess the Efficacy and Safety of Insulin Titration System Based on Deep Learning on Glucose Control in Type 2 Diabetes Mellitus Patients
Study Type
Interventional

2. Study Status

Record Verification Date
June 2023
Overall Recruitment Status
Completed
Study Start Date
June 15, 2022 (Actual)
Primary Completion Date
October 6, 2022 (Actual)
Study Completion Date
October 6, 2022 (Actual)

3. Sponsor/Collaborators

Responsible Party, by Official Title
Principal Investigator
Name of the Sponsor
Shanghai Zhongshan Hospital

4. Oversight

Studies a U.S. FDA-regulated Drug Product
No
Studies a U.S. FDA-regulated Device Product
No
Data Monitoring Committee
Yes

5. Study Description

Brief Summary
This is an open-labeled, one-arm intervention trial to access the effect and safety of the Insulin Titration System Based on Deep Learning in patients with Type 2 Diabetes Mellitus.
Detailed Description
The study enrolls 13 patients with Type 2 Diabetes in Zhongshan Hospital who are on treatment with insulin. After screening for the inclusion and exclusion criteria, eligible patients will receive insulin dosage titration set by the Insulin Titration System Based on Deep Learning in the intervention trial. The goal of insulin therapy was to achieve preprandial capillary blood glucose between 5.6-7.8 mmol/L and postprandial capillary glucose less than 10.0mmol/L. All patients are studied for 5 consecutive days or untill hospital discharge. For each patient, capillary glucose concentration was measured at 7 time points of fasting, after breakfast, before and after lunch, before and after dinner, and before bedtime a day using Glucometer (Glupad, Sinomedisite, China). Capillary glucose measurements were performed by the nurse staff according to standard procedures with a point-of-care testing device, which is integrated into the HIS system. And continuous glucose monitoring (CGM) was performed using flash glucose monitoring (Abbott Freestyle Libre, USA) placed on the upper left arm. This study will be conducted in the Department of Endocrinology, Zhongshan Hospital,Fudan University.

6. Conditions and Keywords

Primary Disease or Condition Being Studied in the Trial, or the Focus of the Study
Diabetes Mellitus Type 2 - Insulin-Treated

7. Study Design

Primary Purpose
Treatment
Study Phase
Not Applicable
Interventional Study Model
Single Group Assignment
Masking
None (Open Label)
Allocation
N/A
Enrollment
16 (Actual)

8. Arms, Groups, and Interventions

Arm Title
AI
Arm Type
Experimental
Arm Description
Insulin Titration System Based on Deep Learning
Intervention Type
Device
Intervention Name(s)
Insulin Titration System
Intervention Description
A noval insulin titration system, which is based on deep learning
Primary Outcome Measure Information:
Title
mean daily blood glucose concentration
Description
For each patient, capillary glucose concentration was measured at 7 time points of fasting, after breakfast, before and after lunch, before and after dinner, and before bedtime a day using Glucometer (Glupad, Sinomedisite, China). Capillary glucose measurements were performed by the nurse staff according to standard procedures with a point-of-care testing device, which is integrated into the HIS system. The primary outcome is the difference in glycemia control as measured by mean daily blood glucose concentration during the intervention period.
Time Frame
5 days
Secondary Outcome Measure Information:
Title
glucose concentration in target range (TIR) of 3.9-10.0 mmol/L
Description
TIR measured by CGM and Capillary glucose measurements, respectively
Time Frame
5 days
Title
glucose concentration above range (10.1-13.9 mmol/L or >13.9 mmol/L)
Description
TAR measured by CGM and Capillary glucose measurements, respectively
Time Frame
5 days
Title
glucose concentration below range (3.0-3.8 mmol/L or <3.0 mmol/L)
Description
TBR measured by CGM and Capillary glucose measurements, respectively
Time Frame
5 days
Title
glycemic variability
Description
glycemic variability measured by CGM and Capillary glucose measurements, respectively
Time Frame
5 days

10. Eligibility

Sex
All
Minimum Age & Unit of Time
18 Years
Maximum Age & Unit of Time
75 Years
Accepts Healthy Volunteers
No
Eligibility Criteria
Inclusion Criteria: type 2 diabetes age of 18-75 years HbA1c between 7.0% and 11.0%. Exclusion Criteria: subjects with acute complications of diabetes, such as ketoacidosis or hyperglycemic hyperosmolar state; BMI ≥ 45kg/m2; women who are pregnant or breast-feeding; subjects with severe cardiac, hepatic, renal diseases; subjects with any psychiatric or psychological diseases; subjects with severe edema, infections or peripheral circulation disorders, receiving surgery during hospitalization; subjects who could not comply with the protocol
Overall Study Officials:
First Name & Middle Initial & Last Name & Degree
Xiaoying Li
Organizational Affiliation
Shanghai Zhongshan Hospital
Official's Role
Principal Investigator
Facility Information:
Facility Name
Department of Endocrinology, Zhongshan Hospital Fudan University
City
Shanghai
Country
China

12. IPD Sharing Statement

Plan to Share IPD
No

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Insulin Titration System Based on Deep Learning

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