Clinical Trial Details
— Status: Completed
Administrative data
| NCT number |
NCT05409391 |
| Other study ID # |
ZSE-202205 |
| Secondary ID |
|
| Status |
Completed |
| Phase |
N/A
|
| First received |
|
| Last updated |
|
| Start date |
June 15, 2022 |
| Est. completion date |
October 6, 2022 |
Study information
| Verified date |
June 2023 |
| Source |
Shanghai Zhongshan Hospital |
| Contact |
n/a |
| Is FDA regulated |
No |
| Health authority |
|
| Study type |
Interventional
|
Clinical Trial 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.
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.