MD-Logic Artificial Pancreas System: A Pilot Study in Adults with Type 1 Diabetes Mellitus

  1. Moshe Phillip, MD (mosheph{at}post.tau.ac.il)1,2
  1. 1The Jesse Z and Sara Lea Shafer Institute for Endocrinology and Diabetes, The National Center for Childhood Diabetes, Schneider Children's Medical Center of Israel, Petah Tikva, Israel
  2. 2Sackler Faculty of Medicine, Tel-Aviv University, Tel-Aviv, Israel

Abstract

Objective: Current state-of-the-art artificial pancreas systems are either based on traditional linear control theory or rely on mathematical models of glucose-insulin dynamics. Blood glucose control using these methods is limited due to the complexity of the biological system. The aim of this study was to describe the principles and clinical performance of the novel MD-Logic Artificial Pancreas (MDLAP) system.

Research Design and Method: The MDLAP applies fuzzy logic theory to imitate lines of reasoning of diabetes caregivers. It uses a combination of control to range and control to target strategies to automatically regulate individual glucose levels. Feasibility clinical studies were conducted in 7 adults with type 1 diabetes (age, 19-30 yr; mean diabetes duration, 10±4 yr; mean HbA1C, 6.6±0.7%). All underwent 14 full closed-loop control sessions of 8 hours (fasting and meal-challenge conditions) and 24 hours.

Results: The mean peak postprandial (overall sessions) glucose level was 224±22 mg/dl. Postprandial glucose levels returned to below 180 mg/dl within 2.6±0.6 hours and remained stable in the normal range for at least one hour. During 24-hour closed-loop control, 73% of the sensor values ranged between 70-180 mg/dl, 27% were >180 mg/dl, and none were <70 mg/dl. There were no events of symptomatic hypoglycemia during any of the trials.

Conclusions: The MDLAP system is a promising tool for individualized glucose control in patients with type 1 diabetes. It is designed to minimize high glucose peaks while preventing hypoglycemia. Further studies are planned in the broad population under daily life conditions.

Footnotes

    • Received October 1, 2009.
    • Accepted January 31, 2010.

This Article

  1. Diabetes Care
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