Artificial Intelligence-assisted Insulin System in Type 2 Diabetes in General Wards
- Conditions
- Diabetes Type 2
- Interventions
- Device: AI-assisted insulin dose adjustment modelOther: 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
- 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
- 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
Group Intervention Description AI group AI-assisted insulin dose adjustment model AI-assisted insulin dosage adjustment Doctor group doctor's insulin dose adjustment doctor adjust insulin
- Primary Outcome Measures
Name Time Method 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
Name Time Method 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 doctors after intervention evaluated by questionnaire.
Length of hospitalisation ≥3 days Length of hospitalisation
Related Research Topics
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Trial Locations
- Locations (1)
Zhongshan Hospital, Fudan University
🇨🇳Shanghai, Shanghai, China
Zhongshan Hospital, Fudan University🇨🇳Shanghai, Shanghai, China