Simultaneous Measurement and Responsive Treatment - Part 2
试验速览
- 阶段
- 1 期
- 状态
- 招募中
- 发起方
- 入组人数
- 40
- 试验地点
- 1
研究概览
简要总结
This research study is testing an investigational dual-port insulin patch pump that integrates a continuous glucose monitor (CGM) in adults with type 1 diabetes. The goal of the study is to better understand how insulin delivery near a CGM sensor affects glucose readings and to collect data to support development of a combined insulin pump and CGM system.
People with type 1 diabetes require lifelong insulin therapy. Many use insulin pumps and CGMs, but these systems usually involve wearing multiple devices at different body sites. Managing several devices can increase treatment burden and may contribute to skin irritation, device failures, and challenges with glucose control.
This study is conducted in two in-patient parts. In Part A, participants will wear three investigational devices at the same time while glucose levels are closely monitored using laboratory blood tests and a commercial CGM. This part of the study is designed to measure how basal and bolus insulin delivery near the CGM sensor affects sensor accuracy and how quickly the sensor signal recovers after insulin delivery.
In Part B, participants will wear one investigational device while trained study staff use CGM information from the integrated sensor to guide insulin delivery recommendations generated by an automated glucose control algorithm. Insulin delivery decisions will be closely supervised, and glucose levels will be frequently monitored.
Participants will stay at the clinical research center for short, controlled study visits. Safety will be monitored throughout the study, with predefined procedures for treating low or high blood sugar. The information collected will be used to support further development of an integrated insulin pump and CGM system for people with type 1 diabetes.
详细描述
Current insulin pump and continuous glucose monitoring systems have improved glucose management for people with type 1 diabetes but typically require multiple devices worn at different body sites. This increases treatment burden and may contribute to device-related complications, including skin irritation, site failures, and challenges with coordination between devices. Integrating insulin delivery and glucose sensing into a single system may reduce these burdens and improve usability, but placing insulin infusion and glucose sensing close together may affect CGM accuracy.
This prospective, single-arm, early feasibility study is designed to evaluate an investigational Dual Port Pump (DPP) System, which integrates an insulin infusion patch pump with a CGM sensor positioned near the insulin delivery site. The objectives of the study are to characterize the effects of insulin bolus and basal infusion on CGM sensor readings, assess glucose sensing accuracy, and collect data to support development and optimization of a sensor recovery monitoring algorithm. In Part B, the study also evaluates the feasibility and performance of an automated glycaemic control algorithm used with the integrated system.
The study is conducted in two sequential in-patient parts and enrolls adults with type 1 diabetes.
Part A (Sensor Characterization) consists of a 1.5-day in-patient admission during which participants will wear three DPP systems simultaneously. One system will deliver varying basal insulin rates, while the other two systems will deliver predefined insulin boluses. Glucose levels will be intensively monitored using reference plasma glucose measurements obtained with a Yellow Springs Instruments (YSI) glucose analyzer, along with data from a commercially available CGM. Data from the integrated CGM sensor will not be used for therapy decisions in Part A.
Part B (Automated Glycaemic Control Feasibility) consists of a 2.5-day in-patient admission during which participants will wear one DPP system. CGM values from the integrated sensor will be manually entered by trained study staff into an automated glycaemic control algorithm at regular intervals. Insulin dose recommendations generated by the algorithm will be manually applied using the pump application. Participants will consume standardized meals and complete standardized exercise sessions to evaluate glucose control under controlled conditions.
研究设计
- 研究类型
- Interventional
- 分配方式
- Na
- 干预模型
- Sequential
- 主要目的
- Other
- 盲法
- None
入排标准
- 年龄范围
- 18 Years 至 —（Adult, Older Adult）
- 性别
- All
- 接受健康志愿者
- 否
入选标准
- •Males and females ≥ 18 years of age.
- •Clinical diagnosis of type 1 diabetes for at least 12 months. The diagnosis of type 1 diabetes is based on the investigator's judgment; C peptide level and antibody determinations are not needed.
- •Undergoing multiple daily injection or continuous subcutaneous insulin infusion therapy for at least 3 months. Those using an automated insulin delivery system can also participate.
- •Total daily insulin dose (TDD) between 30 and 100 IU.
- •Inclusion Criteria Part B:
- •Males and females ≥ 18 years of age.
- •Clinical diagnosis of type 1 diabetes for at least 12 months. The diagnosis of type 1 diabetes is based on the investigator's judgment; C peptide level and antibody determinations are not needed.
- •Undergoing continuous subcutaneous insulin infusion therapy for at least 3 months. Those using an automated insulin delivery system can also participate.
- •Totally daily insulin dose (TDD) between 30 and 100 IU.
排除标准
- •Serious medical illness likely to interfere with study participation or with the ability to complete the trial by the judgment of the investigator.
- •Failure to comply with the study protocol or with the team's recommendations.
- •Current or recent use of any anti-hyperglycemic agent other than insulin (≤ one month for GLP1-RA, ≤ one week for all others).
- •Female participants of childbearing potential who are pregnant, breastfeeding, or unwilling to use effective contraception during the study. Pregnancy will be verified by urine dipstick testing at the time of admission visit.
- •Severe hypoglycemic episode within one month of admission.
- •Severe diabetic ketoacidosis episode within one month of admission.
- •Clinically significant nephropathy, neuropathy or retinopathy as judged by the investigator.
- •Recent (<6 months) acute macrovascular event e.g., acute coronary syndrome or cardiac surgery.
- •Other serious medical illness likely to interfere with study participation or with the ability to complete the trial by the judgment of the investigator.
- •Current or ≤ one month use of supraphysiological doses of systemic glucocorticoids
- •Pronounced lipohypertrophy in the abdominal subcutaneous adipose tissue, which may impair sensor function or insulin infusion.
- •Insufficient abdominal surface area to support the wearing of three DPP systems in Part A.
研究组 & 干预措施
Sensor Characterization and Automated Glycaemic Control
Sensor characterization, Part "A": Participants will undergo a 1.5-day in-patient stay using the DPP System. The pump and the CGM functions of the DPP System are controlled by separate smartphone applications. Blood glucose will be monitored with a Yellow Springs Instruments (YSI) glucose analyzer and a separate commercial CGM (Dexcom G7 CGM System). Participants will also undergo euglycemic glucose clamp testing to assess sensor response to basal and bolus insulin delivery. Automated glycaemic control, "Part B": Participants will undergo a 2.5-day in-patient stay using the DPP System and an automated glycaemic control (AGC) algorithm. During this period, they will consume standardized meals and engage in standardized exercise to evaluate glucose control.
干预措施: DPP System (Insulin Pump and Continuous Glucose Monitoring Platform) (Device)