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临床试验/NCT07291804
NCT07291804已完成不适用

Efficacy and Safety of an Intelligent Insulin-Dosing Decision Support System for Glycemic Control in Patients With Type 2 Diabetes: A Randomized Controlled Study

Third Affiliated Hospital, Sun Yat-Sen University1 个研究点 分布在 1 个国家目标入组 140 人开始时间: 2025年3月1日最近更新:

试验速览

阶段
不适用
状态
已完成
发起方
入组人数
140
试验地点
1
主要终点
HbA1c

研究概览

简要总结

The goal of this clinical trial is to learn if an intelligent insulin-dosing decision support system can improve glycemic control in adults with type 2 diabetes who are starting basal insulin therapy. The trial also aims to evaluate the safety of using this system for insulin dose adjustment.

The main questions it aims to answer are:

  • Does the intelligent decision support system improve fasting glucose, postprandial glucose, and HbA1c?
  • Does the system provide safe insulin titration without raising hypoglycemia risk and improve empowerment, self-management, and insulin-related attitudes?

Researchers will compare the intelligent insulin-dosing decision support system with usual care to see if the system leads to more effective and safer insulin titration.

Participants will:

  • Upload blood glucose data using a smart glucometer connected to a mobile health platform
  • Receive basal insulin therapy with ongoing dose adjustments

Intervention group: use the intelligent decision support system that provides algorithm-based insulin dose recommendations with remote monitoring and guidance Control group: receive standard diabetes education and routine outpatient insulin titration

详细描述

This study evaluates an intelligent insulin dosing decision support system designed to support basal insulin titration in adults with type 2 diabetes. The system operates on an internet-of-things platform that synchronizes glucose data and insulin dose records from a smart glucometer and an insulin logging device to a cloud-based server. Patients and clinical staff access the system through a mobile interface, which enables real time data transmission, automated dose calculation, and remote supervision.

The system contains four major components. The first component is a comprehensive assessment module that collects demographic information, clinical characteristics, and a full panel of islet function indicators including fasting glucose, postprandial glucose, glycated hemoglobin, fasting insulin, and multiple C-peptide values. A validated hypoglycemia risk prediction model classifies each participant into low, intermediate, or high risk categories. Competency in insulin injection and dose verification is assessed using a standardized questionnaire.

The second component determines the initial basal insulin dose. This calculation follows guideline recommendations and incorporates the islet function results and hypoglycemia risk category to generate an individualized starting dose.

The third component evaluates insulin sensitivity and glucose response patterns. Continuous transmission of glucose values and insulin doses allows the system to estimate the participant's insulin sensitivity level and to update these estimates as additional data are obtained.

The fourth component produces dose adjustment recommendations. Titration is structured into three time-based phases with clearly defined monitoring frequencies and clinical review points. During the initial titration phase from day three to day fourteen, fasting glucose is measured daily and the system generates dose recommendations every three days using the mean of the most recent fasting glucose values. Nurses review glucose patterns and safety concerns on day four and at the end of the first week, while physicians perform dose verification on day four. During the stable titration phase from week three to week twelve, fasting glucose is measured every three days and the system generates weekly dose recommendations based on the most recent value. Nurses conduct follow up assessments and provide stepwise guidance at week one, week two, week four, week eight, and week twelve. Physicians review system-generated recommendations at the same time points. During the long term maintenance phase from week thirteen to week twenty four, fasting glucose is measured weekly and the system continues to produce weekly dose recommendations. Participants who demonstrate sufficient accuracy in dose verification by week twelve may be authorized to review system-generated dose units independently from week thirteen onward under remote supervision. Physicians complete a final evaluation at week twenty four.

研究设计

研究类型
Interventional
分配方式
Randomized
干预模型
Parallel
主要目的
Treatment
盲法
Single (Participant)

入排标准

年龄范围
18 Years 至 —(Adult, Older Adult)
性别
All
接受健康志愿者

入选标准

  • Patients who
  • were diagnosed with T2DM according to the Guideline for the Prevention and Treatment of Diabetes Mellitus in China (2024 edition);
  • were prescribed basal insulin therapy for the first time;
  • were aged 18 years or older;
  • voluntarily participated in this study; and
  • had access to mobile devices and the internet.

排除标准

  • Individuals who:
  • had severe diabetes-related complications (e.g., cardiac, hepatic, cerebral, or renal insufficiency);
  • were unable to participate in regular follow-ups;
  • had communication or cognitive barriers;
  • had diagnosed psychiatric disorders; or
  • discontinued basal insulin therapy for non-glycaemic reasons.

结局指标

主要结局

HbA1c

时间窗: Baseline, Week 12

Change in HbA1c from Baseline to Week 12, measured from fasting venous blood samples using High-Performance Liquid Chromatography (HPLC).

次要结局

  • Fasting Plasma Glucose (FPG) (mmol/L)(Baseline, Week 12)
  • 2-hour Postprandial Plasma Glucose (2h PPG) (mmol/L)(Baseline, Week 12)
  • Hypoglycemic Events(From Baseline to Week 12)
  • Psychological Insulin Resistance(Baseline, Week 12)
  • Empowerment Ability(Baseline, Week 12)
  • Self-Management Behaviors(Baseline, Week 12)

研究者

发起方
Third Affiliated Hospital, Sun Yat-Sen University
申办方类型
Other
责任方
Principal Investigator
主要研究者

Xiling Hu

Chief Nurse

Third Affiliated Hospital, Sun Yat-Sen University

研究点 (1)

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