Artificial Intelligence-assisted Insulin System in Type 2 Diabetes in General Wards

April 19, 2024 updated by: Shanghai Zhongshan Hospital

Efficacy and Safety of the Artificial Intelligence-assisted Insulin Dose Adjustment System for Glycaemic Control in Patients With Type 2 Diabetes Mellitus in General Wards: a Multicentre, Single-blind, Randomised Controlled Study

Our study was a single-blind, randomised, controlled, multicentre study. The study was planned to include 140 patients admitted to the general ward for subcutaneous insulin therapy, who were randomly divided into two groups in the ratio of 1:1, one group with an artificial intelligence assisted insulin dosimetry system to adjust the insulin dose to control their blood glucose, and the other group with a physician instituted insulin dosimetry adjustments to control their blood glucose. The effectiveness and safety of the system was confirmed by comparing the glycaemic control and risk of adverse events between the two groups.

Study Overview

Detailed Description

Our study was a single-blind, randomised, controlled, multicentre study. The study was planned to include 140 patients admitted to the general ward for subcutaneous insulin therapy, who were randomly divided into two groups in the ratio of 1:1, one group with an artificial intelligence assisted insulin dosimetry system to adjust the insulin dose to control their blood glucose, and the other group with a physician instituted insulin dosimetry adjustments to control their blood glucose. The effectiveness and safety of the system was confirmed by comparing the glycaemic control and risk of adverse events between the two groups.

Study Type

Interventional

Enrollment (Estimated)

140

Phase

  • Not Applicable

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

    • Shanghai
      • Shanghai, Shanghai, China, 200032

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Adult
  • Older Adult

Accepts Healthy Volunteers

No

Description

Inclusion Criteria:

  • Diagnosis of type 2 diabetes mellitus > 3 months
  • Age≥18 years old
  • Receiving glucose-lowering therapy for at least 90 days
  • Blood glucose:7.8-22.2 mmol/L
  • Length of proposed hospitalisation ≥5 days

Exclusion Criteria:

  • Type 1 diabetes mellitus, other special types of diabetes mellitus.
  • BG>22.2 mmol/L, or acute complications of diabetes, such as diabetic ketoacidosis, diabetic hyperosmolar state.
  • History of severe or repeated hypoglycaemia
  • BMI≥45 kg/m2
  • Pregnant and lactating women
  • Clinically relevant liver disease (established cirrhosis and portal hypertension);
  • Presence of severe renal disease (serum creatinine ≥3.0 mg/dL or estimated glomerular filtration rate <30 ml/min/1.73 m2);
  • Severe cardiac insufficiency;
  • Patients on cortisol-based hormone therapy (equivalent to a prednisone dose >5 mg/day);
  • Psychiatric abnormalities or impaired cognitive function;
  • Patients with severe oedema, infection, or peripheral blood circulation disorder;
  • Patients with severe illness or patients to be transferred to ICU for treatment;
  • Surgery of the heart or abdomen that may have a significant impact on the test is planned during hospitalisation.

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Primary Purpose: Treatment
  • Allocation: Randomized
  • Interventional Model: Parallel Assignment
  • Masking: Single

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
Experimental: AI group
AI-assisted insulin dosage adjustment
We use an artificial intelligence-assisted insulin dose adjustment system to adjust insulin doses in hospitalised patients
Other Names:
  • the Artificial Intelligence-assisted Insulin Dose Adjustment System
Active Comparator: Doctor group
doctor adjust insulin
participants' insulin doses are adjusted by doctors

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
time in target range (3.9-10.0 mmol/L )
Time Frame: ≥3 days
Percentage of total time with sensor blood glucose levels in the 3.9-10 mmol/L range
≥3 days

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
sensor glucose
Time Frame: ≥3 days
Percentage of total time with sensor blood glucose levels in the range (5.6-10.0mmol/L,10-13.9mmol/L, >13.9mmol/L,<3.0mmol/L, 3.0-3.8mmol/L)
≥3 days
capillary blood sugar
Time Frame: ≥3 days
pre-breakfast, pre-lunch, pre-dinner, pre-bedtime
≥3 days
hypoglycaemic event
Time Frame: ≥3 days
capillary blood sugar<3.0 mmol/L
≥3 days
hyperglycaemic event
Time Frame: ≥3 days
capillary blood sugar>20.0 mmol/L
≥3 days
insulin dosage
Time Frame: ≥3 days
insulin dosage
≥3 days
satisfaction score of doctors
Time Frame: after intervention
evaluated by questionnaire.
after intervention
Length of hospitalisation
Time Frame: ≥3 days
Length of hospitalisation
≥3 days
Other/Serious Adverse Events
Time Frame: ≥3 days
Itchy skin, admission to ICU, death, etc.
≥3 days

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

April 19, 2024

Primary Completion (Estimated)

March 20, 2026

Study Completion (Estimated)

May 20, 2026

Study Registration Dates

First Submitted

March 13, 2024

First Submitted That Met QC Criteria

March 13, 2024

First Posted (Actual)

March 20, 2024

Study Record Updates

Last Update Posted (Actual)

April 22, 2024

Last Update Submitted That Met QC Criteria

April 19, 2024

Last Verified

April 1, 2024

More Information

Terms related to this study

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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