Artificial pancreas to undergo long-term clinical tests

Researchers will soon undertake one of the largest-ever long-term clinical trials of a system designed to help regulate blood sugar levels of individuals with type 1 diabetes mellitus. If the so-called artificial pancreas system performs in patients as hoped, it could lead to commercial trials and eventual regulatory approval in the United States and abroad.

With $12.7 million in support from the National Institutes of Health (NIH), the system developed by a team of researchers from the University of Virginia (UVA) School of Medicine and the Harvard John A. Paulson School of Engineering and Applied Sciences (SEAS) will be tested in 240 patients at nine sites in the U.S. and Europe. The two six-month trials will begin in early 2016, in collaboration with a half dozen other institutional partners.

Already one of the most common chronic disorders, the incidence of diabetes is increasing worldwide. According to the U.S. Centers for Disease Control and Prevention, 1.25 million Americans have type 1 diabetes. In people living with the disease, the body's immune system attacks and destroys the insulin-producing beta cells of the pancreas so that little or none of the insulin needed to regulate blood glucose is produced. Diabetics must vigilantly monitor blood glucose levels and, when necessary, administer doses of insulin either via needle injections or infusion pump. Failure to maintain proper blood glucose levels through insulin management can cause life-threatening hyperglycemia, or low blood sugar, among other complications.

"To be ultimately successful as an optimal treatment for diabetes, the artificial pancreas needs to prove its safety and efficacy in long-term pivotal trials in the patient's natural environment," said principle investigator Boris Kovatchev, director of the UVA Center for Diabetes Technology. "Our foremost goal is to establish a new diabetes treatment paradigm: the artificial pancreas is not a single-function device; it is an adaptable, wearable network surrounding the patient in a digital treatment ecosystem."

Through a marriage of control engineering with medical practice and behavioral science, the artificial pancreas system is designed to supply the appropriate levels of insulin by not only reacting to changes in the body, but accurately predicting blood glucose levels in advance.

The artificial pancreas is not a replica organ; it is an automated insulin delivery system designed to mimic a healthy person's glucose regulating function. The closed-loop system consists of an insulin pump, continuous glucose monitor placed under the user's skin, and advanced control algorithm software embedded in a smart phone that provides the engineering brains, signaling how much insulin the pump should deliver to the patient based on a range of variables including meals consumed, physical activity, sleep, stress, and metabolism.

"The idea is that this can lead to an improved quality of life for individuals with this disease—not a solution to diabetes, but a means to really extend the quality of their healthful living," said co-principal investigator and engineering lead on the project Francis J. Doyle III, dean and John A. & Elizabeth S. Armstrong Professor of Engineering & Applied Sciences at Harvard SEAS.

In the first of the two trials planned as part of the new NIH-funded study, 240 patients with type 1 diabetes will test the safety and effectiveness of the artificial pancreas for six months while going about their normal daily routines. The control-to-range artificial pancreas system for this trial was developed at UVA and is now licensed to TypeZero Technologies. The artificial pancreas will be compared with a standard insulin pump on two key measures: how well blood-sugar levels are controlled and whether the risk of hypoglycemia is reduced.

The second trial will follow 180 patients who completed the first study for an additional six months to test the advanced adaptive control algorithm developed by Doyle's Harvard team. That system is based on zone model-predictive control (zone MPC), a strategy originally developed by Doyle and colleagues in a seminal paper published in 1996. Rather than regulating glucose levels to a specific point in the same way that a home thermostat keeps the room temperature at a precise setting, zone-MPC defines an acceptable zone for an individual's glucose levels and controls variables to stay within that range.

"The biggest challenge in the design of the artificial pancreas is the inherent uncertainty in the human body," Doyle noted. "Day to day, hour to hour, the various stresses that impact the human body change the way it responds to insulin-controlling glucose. Physical stresses, anxiety, hormonal swings will all change that balance. To be able to control for those factors we need to see longer intervals of data. This is the first trial where we'll be looking at multi-month intervals of time with cohorts of subjects where we can actually see a long enough window to learn those patterns, to adapt and fine-tune the algorithms, and to improve the overall level of glucose control."