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Insulin Titration System Based on Deep Learning

Study to Assess the Efficacy and Safety of Insulin Titration System Based on Deep Learning on Glucose Control in Type 2 Diabetes Mellitus Patients

Status
Completed
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT05409391
Enrollment
16
Registered
2022-06-08
Start date
2022-06-15
Completion date
2022-10-06
Last updated
2023-06-07

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

Conditions

Diabetes Mellitus Type 2 - Insulin-Treated

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.

Interventions

DEVICEInsulin Titration System

A noval insulin titration system, which is based on deep learning

Sponsors

Shanghai Zhongshan Hospital
Lead SponsorOTHER

Study design

Allocation
NA
Intervention model
SINGLE_GROUP
Primary purpose
TREATMENT
Masking
NONE

Eligibility

Sex/Gender
ALL
Age
18 Years to 75 Years
Healthy volunteers
No

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

Design outcomes

Primary

MeasureTime frameDescription
mean daily blood glucose concentration5 daysFor 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

MeasureTime frameDescription
glucose concentration in target range (TIR) of 3.9-10.0 mmol/L5 daysTIR measured by CGM and Capillary glucose measurements, respectively
glucose concentration above range (10.1-13.9 mmol/L or >13.9 mmol/L)5 daysTAR measured by CGM and Capillary glucose measurements, respectively
glucose concentration below range (3.0-3.8 mmol/L or <3.0 mmol/L)5 daysTBR measured by CGM and Capillary glucose measurements, respectively
glycemic variability5 daysglycemic variability measured by CGM and Capillary glucose measurements, respectively

Countries

China

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 8, 2026