Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
| Name | Class |
|---|---|
| McGill University Health Centre/Research Institute of the McGill University Health Centre | OTHER |
| PharmaSens AG, Biel/Bienne Switzerland | UNKNOWN |
Not provided
Not provided
Not provided
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.
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.
Throughout both parts of the study, glucose levels will be closely monitored, and predefined procedures are in place for the treatment of hypoglycemia and hyperglycemia. Safety data and device performance data collected in this study will be used to inform further development of an integrated insulin delivery and glucose sensing system and to support future clinical studies.
Not provided
Not provided
Not provided
Not provided
| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Sensor Characterization and Automated Glycaemic Control | Experimental | 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. |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| DPP System (Insulin Pump and Continuous Glucose Monitoring Platform) | Device | Participants will use the DPP System, an integrated insulin pump and continuous glucose monitoring-based device, during inpatient study visits. The system will be evaluated under multiple study conditions, including sensor characterization procedures and automated glycaemic control during standardized meals and exercise. |
| Measure | Description | Time Frame |
|---|---|---|
| Maximum post-bolus difference between DPP CGM sensor glucose and YSI plasma glucose | Highest (maximum) difference between DPP integrated CGM sensor glucose and reference YSI plasma glucose concentration following each predefined insulin bolus delivered by the two DPP systems assigned to bolus delivery. | During Part A clamp period (Day 2; approximately 09:00-17:00), assessed after each bolus. |
| Time to maximum post-bolus difference between DPP CGM sensor glucose and YSI plasma glucose | Time from each predefined insulin bolus delivery to the time of the highest (maximum) difference between DPP integrated CGM sensor glucose and reference YSI plasma glucose concentration. | During Part A clamp period (Day 2; approximately 09:00-17:00), assessed after each bolus. |
| Time to full recovery of DPP CGM sensor signal following bolus insulin delivery | Time from each predefined insulin bolus delivery until the DPP integrated CGM sensor signal is considered fully recovered following the transient post-bolus effect (as defined in the study analysis plan/protocol recovery criteria). | During Part A clamp period (Day 2; approximately 09:00-17:00), assessed after each bolus. |
| Percent of DPP CGM sensor values meeting 20/20 agreement criteria vs reference glucose | Percent of DPP integrated CGM sensor values meeting 20/20 agreement criteria compared with (a) reference YSI plasma glucose and (b) Dexcom G7 interstitial glucose. 20/20 is defined as within ±20% of the reference value when reference glucose is ≥100 mg/dL (5.5 mmol/L) and within ±20 mg/dL (1.1 mmol/L) when reference glucose is <100 mg/dL (5.5 mmol/L). Reported including and excluding periods affected after bolus infusion, between bolus insulin deliveries, and during basal insulin deliveries. | Part A in-patient period (Day 1 to Day 2), with primary comparison during the clamp and intensive monitoring period. |
| Measure | Description | Time Frame |
|---|---|---|
| Overnight percentage of time in glucose ranges (Dexcom G7) | Percentage of overnight time (23:00-08:00) during which sensor glucose levels measured by the Dexcom G7 are within the following ranges: 3.9-7.8 mmol/L; 3.9-10.0 mmol/L; <3.9 mmol/L; <3.0 mmol/L; >7.8 mmol/L; >10.0 mmol/L; and >13.9 mmol/L. Calculated for Day 1 and Day 2 separately and for the entire Part B intervention combined. | Part B in-patient period (Day 1 and Day 2 nights, and combined across Part B). |
Not provided
Inclusion Criteria Part A:
Inclusion Criteria Part B:
Exclusion Criteria (A and B):
Not provided
Not provided
Not provided
Not provided
Not provided
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Karri Venn, BSc | Contact | 647 274 4133 | karri.venn@clinsurge.ca | |
| Eden Stein, B.Sc, M.Sc, MBA | Contact | 416 688 0813 | eden.stein@clinsurge.ca |
Not provided
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| ClinSurge Research | Recruiting | Toronto | Ontario | M4G 3E8 | Canada |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 41290544 | Background | Cunningham H, Apostolopoulos J, Ngan J, Jones H, Barnard-Kelly K, Brown K, Dutt-Ballerstadt R, Flint S, Kong YW, Netzer E, Obeyesekere V, Reid S, Wu HP, Seidl T, O'Neal D. Feasibility study of a combined insulin-delivery and glucose sensor system worn over 7 days in persons with type 1 diabetes. Diabetes Obes Metab. 2026 Feb;28(2):1403-1410. doi: 10.1111/dom.70331. Epub 2025 Nov 25. | |
| 35320645 |
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
| ID | Term |
|---|---|
| D003922 | Diabetes Mellitus, Type 1 |
| ID | Term |
|---|---|
| D003920 | Diabetes Mellitus |
| D044882 | Glucose Metabolism Disorders |
| D008659 | Metabolic Diseases |
| D009750 | Nutritional and Metabolic Diseases |
Not provided
Not provided
This is a two-part, sequential interventional study in which Part A is completed prior to the initiation of Part B. While participants from Part A may continue into Part B, participation in Part B is optional and Part B may enroll additional participants independently.
Not provided
Not provided
Not provided
Not provided
|
| Percent time in glucose ranges based on Dexcom G7 (Time in Range / Time Below / Time Above) |
Percentage of time sensor glucose levels (Dexcom G7) are in each range: 3.9-7.8 mmol/L, 3.9-10.0 mmol/L, <3.9 mmol/L, <3.0 mmol/L, >7.8 mmol/L, >10.0 mmol/L, >13.9 mmol/L Calculated for Day 1 and Day 2 separately and for the entire Part B intervention combined. |
| Part B in-patient period (approximately 2.5 days; Day 1 and Day 2, and combined across Part B). |
| Mean absolute relative difference (MARD) of DPP CGM vs reference glucose | Mean absolute relative difference (MARD) of DPP integrated CGM values compared with (a) reference YSI plasma glucose and (b) Dexcom G7 interstitial glucose, expressed as a percentage. Calculated for Day 1, Day 2, and entire Part B combined. | Part B in-patient period (Day 1 and Day 2, and combined across Part B). |
| Mean absolute deviation (MAD) of DPP CGM vs reference glucose by basal rate | Mean absolute deviation of DPP integrated CGM values compared with (a) reference YSI plasma glucose and (b) Dexcom G7 interstitial glucose, expressed in mmol/L, summarized for each basal rate. | Part B in-patient period (Day 1 and Day 2, and combined across Part B). |
| Bias of DPP CGM vs reference glucose by basal rate | Bias (DPP CGM minus reference) in mmol/L between DPP integrated CGM values and (a) reference YSI plasma glucose and (b) Dexcom G7 interstitial glucose, summarized for each basal rate. | Part B in-patient period (Day 1 and Day 2, and combined across Part B). |
| Percent of DPP CGM sensor values meeting 20/20 agreement criteria vs YSI (excluding post-bolus affected periods) | Percent of DPP integrated CGM sensor values meeting 20/20 agreement criteria compared with reference YSI plasma glucose, excluding times when the sensor is affected after bolus infusion. 20/20 is defined as within ±20% of the reference value when reference glucose is ≥100 mg/dL (5.5 mmol/L) and within ±20 mg/dL (1.1 mmol/L) when reference glucose is <100 mg/dL (5.5 mmol/L). | Part B in-patient period (Day 1 and Day 2, and combined across Part B). |
| Daytime percentage of time in glucose ranges (Dexcom G7) | Percentage of daytime time (08:00-23:00) during which sensor glucose levels measured by the Dexcom G7 are within the following ranges: 3.9-7.8 mmol/L; 3.9-10.0 mmol/L; <3.9 mmol/L; <3.0 mmol/L; >7.8 mmol/L; >10.0 mmol/L; and >13.9 mmol/L. Calculated for Day 1 and Day 2 separately and for the entire Part B intervention combined. | Part B in-patient period (Day 1 and Day 2 daytime periods, and combined across Part B). |
| Total daily insulin dose | Total daily insulin dose (TDD), expressed in international units (IU), calculated for Day 1 and Day 2 separately and for the entire Part B intervention combined. | Part B in-patient period (Day 1, Day 2, and combined across Part B). |
| Mean sensor glucose level | Mean sensor glucose level measured by the Dexcom continuous glucose monitoring system, calculated for Day 1 and Day 2 separately and for the entire Part B intervention combined. | Part B in-patient period (Day 1, Day 2, and combined across Part B). |
| Background |
| Sperling MA, Laffel LM. Current Management of Glycemia in Children with Type 1 Diabetes Mellitus. N Engl J Med. 2022 Mar 24;386(12):1155-1164. doi: 10.1056/NEJMcp2112175. No abstract available. |
| 29958025 | Background | Bonato L, Taleb N, Gingras V, Messier V, Gobeil F, Menard J, Ardilouze JL, Rabasa-Lhoret R. Duration of Catheter Use in Patients with Diabetes Using Continuous Subcutaneous Insulin Infusion: A Review. Diabetes Technol Ther. 2018 Jul;20(7):506-515. doi: 10.1089/dia.2018.0110. |
| 37798963 | Background | Schoemaker M, Martensson A, Mader JK, Norgaard K, Freckmann G, Benhamou PY, Diem P, Heinemann L. Combining Glucose Monitoring and Insulin Infusion in an Integrated Device: A Narrative Review of Challenges and Proposed Solutions. J Diabetes Sci Technol. 2025 Mar;19(2):441-451. doi: 10.1177/19322968231203237. Epub 2023 Oct 5. |
| 36198829 | Background | Sherr JL, Heinemann L, Fleming GA, Bergenstal RM, Bruttomesso D, Hanaire H, Holl RW, Petrie JR, Peters AL, Evans M. Automated insulin delivery: benefits, challenges, and recommendations. A Consensus Report of the Joint Diabetes Technology Working Group of the European Association for the Study of Diabetes and the American Diabetes Association. Diabetologia. 2023 Jan;66(1):3-22. doi: 10.1007/s00125-022-05744-z. Epub 2022 Oct 6. |
| 29893593 | Background | Berg AK, Norgaard K, Thyssen JP, Zachariae C, Hommel E, Rytter K, Svensson J. Skin Problems Associated with Insulin Pumps and Sensors in Adults with Type 1 Diabetes: A Cross-Sectional Study. Diabetes Technol Ther. 2018 Jul;20(7):475-482. doi: 10.1089/dia.2018.0088. Epub 2018 Jun 12. |
| D004700 | Endocrine System Diseases |
| D001327 | Autoimmune Diseases |
| D007154 | Immune System Diseases |