Controlled Insulin Delivery: Combining Technology With Treatment

NCT ID: NCT01484457

Last Updated: 2021-03-23

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

Get a concise snapshot of the trial, including recruitment status, study phase, enrollment targets, and key timeline milestones.

Recruitment Status

COMPLETED

Clinical Phase

EARLY_PHASE1

Total Enrollment

19 participants

Study Classification

INTERVENTIONAL

Study Start Date

2008-07-31

Study Completion Date

2010-01-31

Brief Summary

Review the sponsor-provided synopsis that highlights what the study is about and why it is being conducted.

Hypothesis: Closed-loop control systems for an artificial pancreas using multi-parametric model predictive control can be developed and evaluated safely in patients with Type 1 Diabetes Mellitus (T1DM) to control blood glucose concentrations.

This study seeks to combine real-time continuous glucose sensing with automated insulin delivery in a closed-loop system that will achieve euglycemia in patients with T1DM. The end result of this line of research will be an artificial pancreas that will provide around-the-clock glucose regulation through controlled insulin delivery in response to detected patterns of change in glucose levels.

Detailed Description

Dive into the extended narrative that explains the scientific background, objectives, and procedures in greater depth.

The goal of the JDRF Artificial Pancreas Project is to produce an autonomous artificial pancreas that can safely and effectively regulate glycemia in people with type 1 diabetes mellitus. In our work, this fully automated closed-loop system combines a subcutaneous continuous glucose monitor (CGM) and a continuous subcutaneous insulin infusion (CSII) pump with a sophisticated control algorithm. This is a proof-of-concept study to demonstrate that the controller could bring the patient back to a relatively normal glucose concentration after an unannounced meal and from mild hyperglycemia. Once the system is initiated, all insulin delivery is calculated automatically. There was no outside intervention either by the subject or medical personnel. An artificial pancreas system that aims at replicating normal beta-cell function by using the subcutaneous-subcutaneous (sc-sc) route needs to address inherent delays in both glucose sensing and insulin delivery. Our strategic approach is that a closed-loop system should operate safely without any knowledge of meals or other disturbances. We have developed the Artificial Pancreas System (APS©) and used it to clinically evaluate a control strategy that allows efficient glycemic control without any a priori meal information. The Artificial Pancreas device uses the Artificial Pancreas System (APS©) platform with the OmniPod insulin pump, the DexCom SEVEN PLUS CGM and a multi-parametric model predictive control algorithm (mpMPC) with an insulin-on-board (IOB) safety constraint.

Conditions

See the medical conditions and disease areas that this research is targeting or investigating.

Diabetes Mellitus, Type 1

Study Design

Understand how the trial is structured, including allocation methods, masking strategies, primary purpose, and other design elements.

Allocation Method

NA

Intervention Model

SINGLE_GROUP

Primary Study Purpose

TREATMENT

Blinding Strategy

NONE

Study Groups

Review each arm or cohort in the study, along with the interventions and objectives associated with them.

Closed-loop control system

The objective of this study is to automate glucose control in subjects with type 1 diabetes using a computer control algorithm in a controlled in-clinic research setting.

The controller will be evaluated under two conditions:

1. restoring euglycemia (80-140 mg/dL) when the controller is initiated during a period when the subject's glucose is above the euglycemic range;
2. restoring euglycemia (80-140 mg/dL) when the controller is challenged with a small unannounced meal (\~25 g CHO).

Group Type EXPERIMENTAL

Closed-loop session

Intervention Type DEVICE

Subjects will arrive fasting at 7am unless needed for hypoglycemia (glucose \< 70 mg/dL) and no extra bolus insulin after 3am. An IV catheter will be inserted for blood samples and for IV administration of glucose if necessary. Blood samples will be analyzed for glucose by YSI 2300Stat every 30 minutes.

Breakfast consisting of 25g of CHO will be eaten at 7:30 am and the subject will bolus for this amount of CHO. The controller is switched "on" on the down slope of the meal response, and the subject is brought to a basal steady-state by the controller. Target blood glucose is 110 ± 30-mg/dL.

After approximately 3 hours a small lunch will be eaten consisting of 25g of CHO (unannounced meal challenge). The subject will be monitored until blood glucose returns to euglycemia.

Interventions

Learn about the drugs, procedures, or behavioral strategies being tested and how they are applied within this trial.

Closed-loop session

Subjects will arrive fasting at 7am unless needed for hypoglycemia (glucose \< 70 mg/dL) and no extra bolus insulin after 3am. An IV catheter will be inserted for blood samples and for IV administration of glucose if necessary. Blood samples will be analyzed for glucose by YSI 2300Stat every 30 minutes.

Breakfast consisting of 25g of CHO will be eaten at 7:30 am and the subject will bolus for this amount of CHO. The controller is switched "on" on the down slope of the meal response, and the subject is brought to a basal steady-state by the controller. Target blood glucose is 110 ± 30-mg/dL.

After approximately 3 hours a small lunch will be eaten consisting of 25g of CHO (unannounced meal challenge). The subject will be monitored until blood glucose returns to euglycemia.

Intervention Type DEVICE

Other Intervention Names

Discover alternative or legacy names that may be used to describe the listed interventions across different sources.

Closed-loop Artificial Pancreas Device

Eligibility Criteria

Check the participation requirements, including inclusion and exclusion rules, age limits, and whether healthy volunteers are accepted.

Inclusion Criteria

1. Willing to sign the consent form
2. Type 1 diabetes for at least 1 year prior to the study
3. Using continuous subcutaneous insulin infusion pump
4. Above 21 years of age
5. Willing to follow the study requirements

Exclusion Criteria

1. Allergy to the sensor or to one of its components
2. Psychiatric disorders
3. Reported diabetic ketoacidosis within last 3 months
4. Abnormal liver function (Transaminase \> 2 times the upper limit of normal)
5. Heart failure
6. Any carcinogenic disease
7. Any other chronic abnormality
8. Unwilling to perform or to follow the research protocol
9. Participation in any other study concurrent with the proposed study
10. Creatinine concentration above the upper limit of normal for age and sex
11. Active coronary artery disease
12. Active gastroparesis
13. History of uncontrolled seizures
14. Pregnancy
15. Untreated adrenal insufficiency
16. Hypokalemia
17. Uncontrolled thyroid disease.
18. Condition, which in the opinion of the investigator, would interfere with patient safety
Minimum Eligible Age

18 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

Meet the organizations funding or collaborating on the study and learn about their roles.

Juvenile Diabetes Research Foundation

OTHER

Sponsor Role collaborator

Schneider Children's Medical Center, Israel

OTHER

Sponsor Role collaborator

Sansum Diabetes Research Institute

OTHER

Sponsor Role lead

Responsible Party

Identify the individual or organization who holds primary responsibility for the study information submitted to regulators.

Responsibility Role SPONSOR

Principal Investigators

Learn about the lead researchers overseeing the trial and their institutional affiliations.

Lois Jovanovic, M.D.

Role: PRINCIPAL_INVESTIGATOR

Sansum Diabetes Research Institute

Locations

Explore where the study is taking place and check the recruitment status at each participating site.

Sansum Diabetes Research Institute

Santa Barbara, California, United States

Site Status

Schneider Children's Medical Center of Israel

Petah Tikva, , Israel

Site Status

Countries

Review the countries where the study has at least one active or historical site.

United States Israel

References

Explore related publications, articles, or registry entries linked to this study.

Basu R, Di Camillo B, Toffolo G, Basu A, Shah P, Vella A, Rizza R, Cobelli C. Use of a novel triple-tracer approach to assess postprandial glucose metabolism. Am J Physiol Endocrinol Metab. 2003 Jan;284(1):E55-69. doi: 10.1152/ajpendo.00190.2001.

Reference Type BACKGROUND
PMID: 12485809 (View on PubMed)

Bellazzi R, Arcelloni M, Bensa G, Blankenfeld H, Brugues E, Carson E, Cobelli C, Cramp D, D'Annunzio G, De Cata P, De Leiva A, Deutsch T, Fratino P, Gazzaruso C, Garcia A, Gergely T, Gomez E, Harvey F, Ferrari P, Hernando E, Boulos MK, Larizza C, Ludekke H, Maran A, Nucci G, Pennati C, Ramat S, Roudsari A, Rigla M, Stefanelli M. Design, methods, and evaluation directions of a multi-access service for the management of diabetes mellitus patients. Diabetes Technol Ther. 2003;5(4):621-9. doi: 10.1089/152091503322250640.

Reference Type BACKGROUND
PMID: 14511417 (View on PubMed)

Bellazzi R, Nucci G, Cobelli C. The subcutaneous route to insulin-dependent diabetes therapy. IEEE Eng Med Biol Mag. 2001 Jan-Feb;20(1):54-64. doi: 10.1109/51.897828. No abstract available.

Reference Type BACKGROUND
PMID: 11211661 (View on PubMed)

Bequette BW. A critical assessment of algorithms and challenges in the development of a closed-loop artificial pancreas. Diabetes Technol Ther. 2005 Feb;7(1):28-47. doi: 10.1089/dia.2005.7.28.

Reference Type BACKGROUND
PMID: 15738702 (View on PubMed)

Bevier WC, Zisser H, Palerm CC, Finan DA, Seborg DE, Doyle FJ, Wollitzer AO, Jovanovic L. Calculating the insulin to carbohydrate ratio using the hyperinsulinaemic-euglycaemic clamp-a novel use for a proven technique. Diabetes Metab Res Rev. 2007 Sep;23(6):472-8. doi: 10.1002/dmrr.727.

Reference Type BACKGROUND
PMID: 17315240 (View on PubMed)

Bode BW. Clinical utility of the continuous glucose monitoring system. Diabetes Technol Ther. 2000;2 Suppl 1:S35-41. doi: 10.1089/15209150050214104. No abstract available.

Reference Type BACKGROUND
PMID: 11469630 (View on PubMed)

Bode BW, Gross TM, Thornton KR, Mastrototaro JJ. Continuous glucose monitoring used to adjust diabetes therapy improves glycosylated hemoglobin: a pilot study. Diabetes Res Clin Pract. 1999 Dec;46(3):183-90. doi: 10.1016/s0168-8227(99)00113-8.

Reference Type BACKGROUND
PMID: 10624783 (View on PubMed)

Bode BW, Hirsch IB. Using the continuous glucose monitoring system to improve the management of type 1 diabetes. Diabetes Technol Ther. 2000;2 Suppl 1:S43-8. doi: 10.1089/15209150050214113. No abstract available.

Reference Type BACKGROUND
PMID: 11469631 (View on PubMed)

Broekhuyse HM, Nelson JD, Zinman B, Albisser AM. Comparison of algorithms for the closed-loop control of blood glucose using the artificial beta cell. IEEE Trans Biomed Eng. 1981 Oct;28(10):678-87. doi: 10.1109/tbme.1981.324661. No abstract available.

Reference Type BACKGROUND
PMID: 7033107 (View on PubMed)

Chanoch LH, Jovanovic L, Peterson CM. The evaluation of a pocket computer as an aid to insulin dose determination by patients. Diabetes Care. 1985 Mar-Apr;8(2):172-6. doi: 10.2337/diacare.8.2.172.

Reference Type BACKGROUND
PMID: 3838930 (View on PubMed)

Dalla Man C, Caumo A, Basu R, Rizza R, Toffolo G, Cobelli C. Measurement of selective effect of insulin on glucose disposal from labeled glucose oral test minimal model. Am J Physiol Endocrinol Metab. 2005 Nov;289(5):E909-14. doi: 10.1152/ajpendo.00299.2004. Epub 2005 Jun 21.

Reference Type BACKGROUND
PMID: 15972269 (View on PubMed)

Dassau E, Palerm CC, Zisser H, Buckingham BA, Jovanovic L, Doyle FJ. In silico evaluation platform for artificial pancreatic beta-cell development--a dynamic simulator for closed-loop control with hardware-in-the-loop. Diabetes Technol Ther. 2009 Mar;11(3):187-94. doi: 10.1089/dia.2008.0055.

Reference Type BACKGROUND
PMID: 19191486 (View on PubMed)

Dassau E, Zisser H, C Palerm C, A Buckingham B, Jovanovic L, J Doyle F 3rd. Modular artificial beta-cell system: a prototype for clinical research. J Diabetes Sci Technol. 2008 Sep;2(5):863-72. doi: 10.1177/193229680800200518.

Reference Type BACKGROUND
PMID: 19885271 (View on PubMed)

Diabetes Research in Children Network (DirecNet) Study Group; Buckingham B, Beck RW, Tamborlane WV, Xing D, Kollman C, Fiallo-Scharer R, Mauras N, Ruedy KJ, Tansey M, Weinzimer SA, Wysocki T. Continuous glucose monitoring in children with type 1 diabetes. J Pediatr. 2007 Oct;151(4):388-93, 393.e1-2. doi: 10.1016/j.jpeds.2007.03.047. Epub 2007 Aug 24.

Reference Type BACKGROUND
PMID: 17889075 (View on PubMed)

Dua P, Doyle FJ 3rd, Pistikopoulos EN. Model-based blood glucose control for Type 1 diabetes via parametric programming. IEEE Trans Biomed Eng. 2006 Aug;53(8):1478-91. doi: 10.1109/TBME.2006.878075.

Reference Type BACKGROUND
PMID: 16916082 (View on PubMed)

Garg S, Zisser H, Schwartz S, Bailey T, Kaplan R, Ellis S, Jovanovic L. Improvement in glycemic excursions with a transcutaneous, real-time continuous glucose sensor: a randomized controlled trial. Diabetes Care. 2006 Jan;29(1):44-50. doi: 10.2337/diacare.29.01.06.dc05-1686.

Reference Type BACKGROUND
PMID: 16373894 (View on PubMed)

Hovorka R, Chassin LJ, Wilinska ME, Canonico V, Akwi JA, Federici MO, Massi-Benedetti M, Hutzli I, Zaugg C, Kaufmann H, Both M, Vering T, Schaller HC, Schaupp L, Bodenlenz M, Pieber TR. Closing the loop: the adicol experience. Diabetes Technol Ther. 2004 Jun;6(3):307-18. doi: 10.1089/152091504774197990.

Reference Type BACKGROUND
PMID: 15198833 (View on PubMed)

Hovorka R, Shojaee-Moradie F, Carroll PV, Chassin LJ, Gowrie IJ, Jackson NC, Tudor RS, Umpleby AM, Jones RH. Partitioning glucose distribution/transport, disposal, and endogenous production during IVGTT. Am J Physiol Endocrinol Metab. 2002 May;282(5):E992-1007. doi: 10.1152/ajpendo.00304.2001.

Reference Type BACKGROUND
PMID: 11934663 (View on PubMed)

Jeha GS, Karaviti LP, Anderson B, Smith EO, Donaldson S, McGirk TS, Haymond MW. Insulin pump therapy in preschool children with type 1 diabetes mellitus improves glycemic control and decreases glucose excursions and the risk of hypoglycemia. Diabetes Technol Ther. 2005 Dec;7(6):876-84. doi: 10.1089/dia.2005.7.876.

Reference Type BACKGROUND
PMID: 16386093 (View on PubMed)

Jones SM, Quarry JL, Caldwell-McMillan M, Mauger DT, Gabbay RA. Optimal insulin pump dosing and postprandial glycemia following a pizza meal using the continuous glucose monitoring system. Diabetes Technol Ther. 2005 Apr;7(2):233-40. doi: 10.1089/dia.2005.7.233.

Reference Type BACKGROUND
PMID: 15857224 (View on PubMed)

Jovanovic L. Role of diet and insulin treatment of diabetes in pregnancy. Clin Obstet Gynecol. 2000 Mar;43(1):46-55. doi: 10.1097/00003081-200003000-00005. No abstract available.

Reference Type BACKGROUND
PMID: 10694987 (View on PubMed)

Kan S, Onodera H, Furutani E, Aung T, Araki M, Nishimura H, Maetani S, Imamura M. Novel control system for blood glucose using a model predictive method. ASAIO J. 2000 Nov-Dec;46(6):657-62. doi: 10.1097/00002480-200011000-00004.

Reference Type BACKGROUND
PMID: 11110261 (View on PubMed)

Kaufman FR. Searching for glycemic control in pediatric type 1 diabetes: A long way to go. J Pediatr. 2001 Aug;139(2):174-6. doi: 10.1067/mpd.2001.117573. No abstract available.

Reference Type BACKGROUND
PMID: 11487739 (View on PubMed)

Klonoff DC. Continuous glucose monitoring: roadmap for 21st century diabetes therapy. Diabetes Care. 2005 May;28(5):1231-9. doi: 10.2337/diacare.28.5.1231. No abstract available.

Reference Type BACKGROUND
PMID: 15855600 (View on PubMed)

Klonoff DC. A review of continuous glucose monitoring technology. Diabetes Technol Ther. 2005 Oct;7(5):770-5. doi: 10.1089/dia.2005.7.770. No abstract available.

Reference Type BACKGROUND
PMID: 16241880 (View on PubMed)

Kovatchev BP, Cox DJ, Gonder-Frederick LA, Young-Hyman D, Schlundt D, Clarke W. Assessment of risk for severe hypoglycemia among adults with IDDM: validation of the low blood glucose index. Diabetes Care. 1998 Nov;21(11):1870-5. doi: 10.2337/diacare.21.11.1870.

Reference Type BACKGROUND
PMID: 9802735 (View on PubMed)

Lehmann ED, Deutsch T. A physiological model of glucose-insulin interaction in type 1 diabetes mellitus. J Biomed Eng. 1992 May;14(3):235-42. doi: 10.1016/0141-5425(92)90058-s.

Reference Type BACKGROUND
PMID: 1588781 (View on PubMed)

Lehmann ED, Deutsch T. Compartmental models for glycaemic prediction and decision-support in clinical diabetes care: promise and reality. Comput Methods Programs Biomed. 1998 May;56(2):193-204. doi: 10.1016/s0169-2607(98)00025-x.

Reference Type BACKGROUND
PMID: 9700433 (View on PubMed)

Livesey G, Wilson PD, Dainty JR, Brown JC, Faulks RM, Roe MA, Newman TA, Eagles J, Mellon FA, Greenwood RH. Simultaneous time-varying systemic appearance of oral and hepatic glucose in adults monitored with stable isotopes. Am J Physiol. 1998 Oct;275(4):E717-28. doi: 10.1152/ajpendo.1998.275.4.E717.

Reference Type BACKGROUND
PMID: 9755093 (View on PubMed)

Ludvigsson J, Hanas R. Continuous subcutaneous glucose monitoring improved metabolic control in pediatric patients with type 1 diabetes: a controlled crossover study. Pediatrics. 2003 May;111(5 Pt 1):933-8. doi: 10.1542/peds.111.5.933.

Reference Type BACKGROUND
PMID: 12728068 (View on PubMed)

Magni L, Raimondo DM, Man CD, Breton M, Patek S, Nicolao GD, Cobelli C, Kovatchev BP. Evaluating the efficacy of closed-loop glucose regulation via control-variability grid analysis. J Diabetes Sci Technol. 2008 Jul;2(4):630-5. doi: 10.1177/193229680800200414.

Reference Type BACKGROUND
PMID: 19885239 (View on PubMed)

Matsuo Y, Shimoda S, Sakakida M, Nishida K, Sekigami T, Ichimori S, Ichinose K, Shichiri M, Araki E. Strict glycemic control in diabetic dogs with closed-loop intraperitoneal insulin infusion algorithm designed for an artificial endocrine pancreas. J Artif Organs. 2003;6(1):55-63. doi: 10.1007/s100470300009.

Reference Type BACKGROUND
PMID: 14598126 (View on PubMed)

Mauras N, Beck RW, Ruedy KJ, Kollman C, Tamborlane WV, Chase HP, Buckingham BA, Tsalikian E, Weinzimer S, Booth AD, Xing D; Diabetes Research in Children Network (DirecNet) Accuracy Study. Lack of accuracy of continuous glucose sensors in healthy, nondiabetic children: results of the Diabetes Research in Children Network (DirecNet) accuracy study. J Pediatr. 2004 Jun;144(6):770-5. doi: 10.1016/j.jpeds.2004.03.042.

Reference Type BACKGROUND
PMID: 15192625 (View on PubMed)

Owens C, Zisser H, Jovanovic L, Srinivasan B, Bonvin D, Doyle FJ 3rd. Run-to-run control of blood glucose concentrations for people with Type 1 diabetes mellitus. IEEE Trans Biomed Eng. 2006 Jun;53(6):996-1005. doi: 10.1109/TBME.2006.872818.

Reference Type BACKGROUND
PMID: 16761826 (View on PubMed)

Palerm CC, Zisser H, Bevier WC, Jovanovic L, Doyle FJ 3rd. Prandial insulin dosing using run-to-run control: application of clinical data and medical expertise to define a suitable performance metric. Diabetes Care. 2007 May;30(5):1131-6. doi: 10.2337/dc06-2115. Epub 2007 Feb 15.

Reference Type BACKGROUND
PMID: 17303792 (View on PubMed)

Palerm CC, Zisser H, Jovanovic L, Doyle FJ 3rd. A Run-to-Run Control Strategy to Adjust Basal Insulin Infusion Rates in Type 1 Diabetes. J Process Control. 2008;18(3-4):258-265. doi: 10.1016/j.jprocont.2007.07.010.

Reference Type BACKGROUND
PMID: 18709180 (View on PubMed)

Parker RS, Doyle FJ 3rd, Peppas NA. A model-based algorithm for blood glucose control in type I diabetic patients. IEEE Trans Biomed Eng. 1999 Feb;46(2):148-57. doi: 10.1109/10.740877.

Reference Type BACKGROUND
PMID: 9932336 (View on PubMed)

Parker RS, Doyle FJ 3rd, Peppas NA. The intravenous route to blood glucose control. IEEE Eng Med Biol Mag. 2001 Jan-Feb;20(1):65-73. doi: 10.1109/51.897829. No abstract available.

Reference Type BACKGROUND
PMID: 11211662 (View on PubMed)

Peterson CM, Jones RL, Drexler AJ, Jovanovic LB. A randomized comparative crossover evaluation of glucose monitoring technologies. Diabetes Res. 1984 Nov;1(4):195-9.

Reference Type BACKGROUND
PMID: 6529891 (View on PubMed)

Peterson CM, Jovanovic L, Chanoch LH. Randomized trial of computer-assisted insulin delivery in patients with type I diabetes beginning pump therapy. Am J Med. 1986 Jul;81(1):69-72. doi: 10.1016/0002-9343(86)90184-1.

Reference Type BACKGROUND
PMID: 3524226 (View on PubMed)

Palerm CC, Rodriguez-Fernandez M, Bevier WC, Zisser H, Banga JR, Jovanovic L, Doyle FJ 3rd. Robust parameter estimation in a model for glucose kinetics in type 1 diabetes subjects. Conf Proc IEEE Eng Med Biol Soc. 2006;2006:319-22. doi: 10.1109/IEMBS.2006.260045.

Reference Type BACKGROUND
PMID: 17946395 (View on PubMed)

Shimoda S, Nishida K, Sakakida M, Konno Y, Ichinose K, Uehara M, Nowak T, Shichiri M. Closed-loop subcutaneous insulin infusion algorithm with a short-acting insulin analog for long-term clinical application of a wearable artificial endocrine pancreas. Front Med Biol Eng. 1997;8(3):197-211.

Reference Type BACKGROUND
PMID: 9444512 (View on PubMed)

Steil GM, Clark B, Kanderian S, Rebrin K. Modeling insulin action for development of a closed-loop artificial pancreas. Diabetes Technol Ther. 2005 Feb;7(1):94-108. doi: 10.1089/dia.2005.7.94.

Reference Type BACKGROUND
PMID: 15738707 (View on PubMed)

Steil GM, Panteleon AE, Rebrin K. Closed-loop insulin delivery-the path to physiological glucose control. Adv Drug Deliv Rev. 2004 Feb 10;56(2):125-44. doi: 10.1016/j.addr.2003.08.011.

Reference Type BACKGROUND
PMID: 14741112 (View on PubMed)

Tanenberg R, Bode B, Lane W, Levetan C, Mestman J, Harmel AP, Tobian J, Gross T, Mastrototaro J. Use of the Continuous Glucose Monitoring System to guide therapy in patients with insulin-treated diabetes: a randomized controlled trial. Mayo Clin Proc. 2004 Dec;79(12):1521-6. doi: 10.4065/79.12.1521.

Reference Type BACKGROUND
PMID: 15595336 (View on PubMed)

Trajanoski Z, Wach P. Neural predictive controller for insulin delivery using the subcutaneous route. IEEE Trans Biomed Eng. 1998 Sep;45(9):1122-34. doi: 10.1109/10.709556.

Reference Type BACKGROUND
PMID: 9735562 (View on PubMed)

Wilinska ME, Chassin LJ, Schaller HC, Schaupp L, Pieber TR, Hovorka R. Insulin kinetics in type-I diabetes: continuous and bolus delivery of rapid acting insulin. IEEE Trans Biomed Eng. 2005 Jan;52(1):3-12. doi: 10.1109/TBME.2004.839639.

Reference Type BACKGROUND
PMID: 15651559 (View on PubMed)

Zisser H, Jovanovic L, Doyle F 3rd, Ospina P, Owens C. Run-to-run control of meal-related insulin dosing. Diabetes Technol Ther. 2005 Feb;7(1):48-57. doi: 10.1089/dia.2005.7.48.

Reference Type BACKGROUND
PMID: 15738703 (View on PubMed)

Zisser H, Robinson L, Bevier W, Dassau E, Ellingsen C, Doyle FJ, Jovanovic L. Bolus calculator: a review of four "smart" insulin pumps. Diabetes Technol Ther. 2008 Dec;10(6):441-4. doi: 10.1089/dia.2007.0284.

Reference Type BACKGROUND
PMID: 19049372 (View on PubMed)

Zisser HC, Bevier WC, Jovanovic L. Restoring euglycemia in the basal state using continuous glucose monitoring in subjects with type 1 diabetes mellitus. Diabetes Technol Ther. 2007 Dec;9(6):509-15. doi: 10.1089/dia.2007.0220.

Reference Type BACKGROUND
PMID: 18034605 (View on PubMed)

Other Identifiers

Review additional registry numbers or institutional identifiers associated with this trial.

JDRF 22-2009-796

Identifier Type: -

Identifier Source: org_study_id

More Related Trials

Additional clinical trials that may be relevant based on similarity analysis.

Closed Loop Context Aware AID
NCT06676657 RECRUITING NA