MedPath

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

Not Applicable
Recruiting
Conditions
Diabetes Type 2
Interventions
Device: AI-assisted insulin dose adjustment model
Other: doctor's insulin dose adjustment
Registration Number
NCT06319300
Lead Sponsor
Shanghai Zhongshan Hospital
Brief Summary

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.

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.

Recruitment & Eligibility

Status
RECRUITING
Sex
All
Target Recruitment
140
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 & Design

Study Type
INTERVENTIONAL
Study Design
PARALLEL
Arm && Interventions
GroupInterventionDescription
AI groupAI-assisted insulin dose adjustment modelAI-assisted insulin dosage adjustment
Doctor groupdoctor's insulin dose adjustmentdoctor adjust insulin
Primary Outcome Measures
NameTimeMethod
time in target range (3.9-10.0 mmol/L )≥3 days

Percentage of total time with sensor blood glucose levels in the 3.9-10 mmol/L range

Secondary Outcome Measures
NameTimeMethod
capillary blood sugar≥3 days

pre-breakfast, pre-lunch, pre-dinner, pre-bedtime

hypoglycaemic event≥3 days

capillary blood sugar\<3.0 mmol/L

sensor glucose≥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)

Other/Serious Adverse Events≥3 days

Itchy skin, admission to ICU, death, etc.

hyperglycaemic event≥3 days

capillary blood sugar\>20.0 mmol/L

insulin dosage≥3 days

insulin dosage

satisfaction score of doctorsafter intervention

evaluated by questionnaire.

Length of hospitalisation≥3 days

Length of hospitalisation

Trial Locations

Locations (1)

Zhongshan Hospital, Fudan University

🇨🇳

Shanghai, Shanghai, China

Zhongshan Hospital, Fudan University
🇨🇳Shanghai, Shanghai, China
© Copyright 2025. All Rights Reserved by MedPath