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

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

Status
Completed
Phases
Unknown
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT06319300
Enrollment
144
Registered
2024-03-20
Start date
2024-04-19
Completion date
2025-09-20
Last updated
2026-06-23

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Diabetes Type 2

Keywords

diabetes, insulin

Brief summary

Our study was a single-blind, randomised, controlled, multicentre study. The study was planned to enrol 142 patients with T2DM admitted to general wards who required subcutaneous insulin therapy. Participants were randomly divided into two groups in the ratio of 1:1, one group with an artificial intelligence-assisted insulin decision system to adjust insulin doses for blood glucose control, and the other group received clinician-instituted insulin dose adjustments for blood glucose control. 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 enrol 142 patients with T2DM admitted to the general ward who required subcutaneous insulin therapy. Participants were randomly divided into two groups in the ratio of 1:1, one group with an artificial intelligence-assisted insulin decision system to adjust insulin doses for blood glucose control, and the other group received clinician-instituted insulin dose adjustments for blood glucose control. The effectiveness and safety of the system was confirmed by comparing the glycaemic control and risk of adverse events between the two groups.

Interventions

DEVICEAI-assisted insulin dose adjustment model

We use an artificial intelligence-assisted insulin dose adjustment system to adjust insulin doses in hospitalised patients

OTHERdoctor's insulin dose adjustment

participants' insulin doses are adjusted by doctors

Sponsors

Shanghai Zhongshan Hospital
Lead SponsorOTHER
Shanghai Fifth People's Hospital
CollaboratorUNKNOWN

Study design

Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
TREATMENT
Masking
SINGLE (Subject)

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No

Inclusion criteria

* Diagnosis of type 2 diabetes mellitus \> 3 months * Age≥18 years old * Receiving glucose-lowering management 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 undergoing corticosteroid 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 * Expected to be NPO for an extended period * Any medical or psychological conditions, or medications that, in the doctor's judgment, could interfere with the results * Subjects who cannot comply with the protocol.

Design outcomes

Primary

MeasureTime frameDescription
time in target range (3.9-10.0 mmol/L )≥3 daysProportion of time in the target glucose range (TIR; 3.9-10.0 mmol/L) measured by CGM during the intervention period.

Secondary

MeasureTime frameDescription
sensor glucose≥3 daysProportion of time during which sensor glucose levels are within the ranges (5.6-10.0mmol/L,10.1-13.9mmol/L, \>13.9mmol/L,\<3.0mmol/L, 3.0-3.8mmol/L), as measured by CGM during the intervention period
capillary blood glucose≥3 dayspre-breakfast, pre-lunch, pre-dinner, pre-bedtime
hypoglycaemic event≥3 dayscapillary blood glucose\<3.9 mmol/L, \<3.0 mmol/L, \< 2.2 mmol/L or an episode that requires of assistance of another person
hyperglycaemic event≥3 dayscapillary blood glucose\>20.0 mmol/L, and/or ketoacidosis, and/or hyperosmotic status.
insulin dosage≥3 daysinsulin dosage
satisfaction score of doctorsafter interventionevaluated by questionnaire.
Length of hospitalisation≥3 daysLength of hospitalisation
Other/Serious Adverse Events≥3 daysItchy skin, admission to ICU, death, etc.

Countries

China

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Jun 24, 2026