- Open Access
- Open Peer Review
This article has Open Peer Review reports available.
Closed-loop for type 1 diabetes – an introduction and appraisal for the generalist
© The Author(s). 2017
Received: 11 November 2016
Accepted: 12 January 2017
Published: 23 January 2017
Rapid progress over the past decade has been made with the development of the ‘Artificial Pancreas’, also known as the closed-loop system, which emulates the feedback glucose-responsive functionality of the pancreatic beta cell. The recent FDA approval of the first hybrid closed-loop system makes the Artificial Pancreas a realistic therapeutic option for people with type 1 diabetes. In anticipation of its advent into clinical care, we provide a primer and appraisal of this novel therapeutic approach in type 1 diabetes for healthcare professionals and non-specialists in the field.
Randomised clinical studies in outpatient and home settings have shown improved glycaemic outcomes, reduced risk of hypoglycaemia and positive user attitudes. User input and interaction with existing closed-loop systems, however, are still required. Therefore, management of user expectations, as well as training and support by healthcare providers are key to ensure optimal uptake, satisfaction and acceptance of the technology. An overview of closed-loop technology and its clinical implications are discussed, complemented by our extensive hands-on experience with closed-loop system use during free daily living.
The introduction of the artificial pancreas into clinical practice represents a milestone towards the goal of improving the care of people with type 1 diabetes. There remains a need to understand the impact of user interaction with the technology, and its implication on current diabetes management and care.
Glycaemic control with insulin therapy is influenced by factors such as insulin dosage, absorption and timing , as well as physiological and lifestyle factors such as physical activity, meal intake, hormones and illness [2–4]. These factors may contribute to the notable variability in insulin requirements, which makes self-management of type 1 diabetes challenging . As a result, the majority of people with type 1 diabetes are still unable to achieve their recommended therapeutic goals. Therefore, there is currently an unmet need to improve glycaemic control and alleviate the risk of hypoglycaemia whilst reducing the burden of type 1 diabetes self-management.
Currently available technology
The use of continuous glucose monitoring in motivated individuals has shown improvements in glycaemic control  and complements insulin pump management in the form of sensor-augmented pump therapy . Advanced features of sensor-augmented pump therapy have recently been introduced into clinical practice; this includes automatic suspension of insulin delivery when a pre-set glucose threshold is reached (low glucose suspend)  or predicted to be reached (predictive low glucose suspend) . Both approaches have shown significant reduction in the risk and burden of hypoglycaemia, particularly in hypoglycaemia-prone individuals, with the latter stabilising glucose levels perhaps due to a reduced need for supplemental carbohydrates to treat hypoglycaemia often resulting in rebound hyperglycaemia .
Foundation of the artificial pancreas
Clinical evidence behind the Artificial Pancreas
Clinical studies have progressed over the past decade from controlled research facility  and supervised transitional settings [14, 15] to free-living home studies [16, 17]. Two recent multicentre randomised crossover free-living home studies evaluated single-hormone hybrid closed-loop system use over a longer period in adults. In one study, 2-month closed-loop use in the evening, after dinner, and overnight was compared to sensor-augmented pump therapy . Closed-loop insulin delivery improved the time spent in the target glucose range between 3.9 and 10.0 mmol/L and HbA1c, and reduced the time spent hypoglycaemic. This was in line with a 3-month study comparing day-and-night closed-loop use with sensor-augmented pump therapy , where improvements in time in the target glucose range, HbA1c and hypoglycaemia were also shown. Through the modulation of insulin delivery by closed-loop control algorithm, more consistent glucose levels were achieved without increasing the total amount of insulin delivered. The largest clinical study of a hybrid single hormone closed-loop system to date has demonstrated safety in an outpatient setting over 3 months .
Closed-loop application has also been evaluated in other populations. Closed-loop use in children and adolescents has shown improvement in either time spent in the glucose target range  or reduction in hypoglycaemia risk . In pregnant women with type 1 diabetes, improvements in time in the glucose target range and mean glucose was achieved by closed-loop without increasing hypoglycaemia risk compared to sensor-augmented pump therapy .
A number of research groups are currently focussing on the incremental benefits of adding glucagon in bi-hormonal closed-loop systems to further reduce the residual risk of hypoglycaemia with single-hormone closed-loop systems or to allow more aggressive insulin dosing and use glucagon to counteract a potential insulin overdose . The first study to evaluate the short-term outpatient use of a bi-hormonal closed-loop system in adults with type 1 diabetes applying more aggressive insulin dosing showed lower mean glucose level and hypoglycaemia risk during the 5-day study period . Similar glycaemic benefits using bi-hormonal closed-loop systems were observed in pre-adolescent children in a diabetes camp setting . Head-to-head comparison between single-hormone and bi-hormonal non-aggressive closed-loop systems showed no significant difference in the proportion of time in the glucose target range; however, fewer hypoglycaemic events occurred with the bi-hormonal system . In contrast to single-hormone studies, however, bi-hormonal closed-loop systems have not been evaluated during free-living settings over extended periods. The addition of glucagon imposes further demands and complexity in daily life application and is currently limited by the need to reconstitute glucagon daily and the requirement of a second pump. Ongoing research aims to address these issues.
Other device companies are developing similar single-hormone hybrid closed-loop systems. These include the Bigfoot Smartloop™ system and the Omnipod Artificial Pancreas™ system, both of which are undergoing pilot clinical evaluations (NCT02849288 and NCT02897557, respectively). In addition, commercialisation of a bi-hormonal closed-loop system in Europe is currently being planned with the proposed date of approval in 2017 .
Indication for closed-loop in clinical practice
Criteria for application of closed-loop in clinical practice are yet to be refined. Evidence is being collected in large randomised clinical trials to justify the use of the technology in a wide range population to funders and healthcare professionals [16, 19, 21, 27], as well as elucidating its glycaemia-related and psychosocial impacts. Pathways range from using closed-loop systems in lieu of sensor-augmented pump therapy, to application of closed-loop systems immediately post-presentation of type 1 diabetes if a decline in residual C-peptide secretion could be slowed down. In the longer term, the trend in increasing use of insulin pump therapy could be accelerated and a greater proportion of those utilising multiple daily injection may opt for closed-loop systems. Unwillingness or intolerance to wear a continuous glucose monitoring and/or insulin pump, excludes closed-loop use in clinical practice.
Expectations and implications in clinical practice
Although commercialisation and clinical availability of closed-loop systems is imminent, the implications of user acceptance and interaction with this novel technology are yet to be fully understood. Based on our extensive experience of home studies, amounting to total closed-loop operation of 3380 days, or 9.3 years, in populations such as children, adolescents, pregnancy, and well- and suboptimally controlled adults, we found that users may have different expectations of closed-loop technology and its role in their care. A ‘one size fits all’ may not be the appropriate model, as different user demands need to be catered for. Some participants suggested having a more simplified or ‘hands-off’ approach, which includes minimal input for prandial insulin boluses to reduce the burden of self-management. Others wished to be more involved in their interaction with the closed-loop system, such as being able to ‘adjust’ the control algorithm to their individual needs, i.e. personalisation of their glucose target range based on time of day, state of health or physical activity. The message from our experience is that the designers of closed-loop systems may need to consider both simplified and sophisticated user-system interaction, while accounting for individual needs and expectations.
Current research prototypes and upcoming commercialised systems require on-going user input and interaction. Hybrid systems require user-triggering of insulin boluses for meals that may not match users’ initial expectations of an ‘artificial pancreas’, thus emphasising the ongoing need for education and training of this novel technology. In previously sensor-naïve individuals transitioning to closed-loop therapy, the availability and use of continuous glucose monitoring may introduce additional need for training by educators. For example, the sensor alarms, miscalibration and overreaction to glucose trends can negatively affect user experience, adherence and outcomes, if not addressed earlier on. The immediate impact on currently available structured education programmes  is currently unknown and needs further evaluation. The focus of these programmes may therefore need to account for different strategies and approaches in individuals using closed-loop systems, during meals and exercise, for example. The emphasis on diabetes self-management still needs to be maintained in the event of a closed-loop system not being operational due to unavailable sensor data, for example, and the role for technical support, be it from the manufacturer or healthcare providers, needs to be delineated.
It is anticipated that future closed-loop systems may involve the use of non-calibrated sensors which may further reduce device burden . The advent of faster insulins  and availability of stable glucagon  may enhance the performance of single-hormone and bi-hormonal closed-loop systems, respectively. Although it is expected that no significant added expenses apart from those related to continuous glucose monitoring may be conferred on the user, longer studies evaluating long-term biomedical and psychosocial outcomes, as well as cost-effectiveness, are needed to justify and provide wider reimbursements for all users.
Although the ideal situation would be a biological cure for type 1 diabetes, where damaged beta-cells could be replaced with healthy ones and be viable, the interim but fast innovating role of the artificial pancreas might be to act as a ‘bridge’ until that cure is found. The rapid progress from ‘bench to bedside’ in the past decade has made the artificial pancreas a reality, and may hopefully lead towards better care in the management of people with type 1 diabetes in the near future.
LB received support from the Swiss National Science Foundation (P1BEP3_165297). Support for the Artificial Pancreas work by JDRF, National Institute for Health Research Cambridge Biomedical Research Centre, Wellcome Trust Strategic Award (100574/Z/12/Z), EC Horizon 2020 (H2020-SC1-731560), and the National Institute of Diabetes and Digestive and Kidney Diseases (DP3DK112176 and 1UC4DK108520-01).
All authors designed the content. LB and HT wrote the manuscript. All authors critically reviewed the report. No writing assistance was provided. All authors read and approved the final manuscript.
RH reports having received speaker honoraria from Eli Lilly and Novo Nordisk, serving on advisory panel for Eli Lilly and Novo Nordisk, receiving license fees from BBraun and Medtronic, and having served as a consultant to BBraun. LB and HT declare no competing financial interests.
Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
- Liebl A. Challenges in optimal metabolic control of diabetes. Diabetes Metab Res Rev. 2002;18 Suppl 3:S36–41.View ArticlePubMedGoogle Scholar
- Brown SA, Jiang B, McElwee-Malloy M, Wakeman C, Breton MD. Fluctuations of hyperglycemia and insulin sensitivity are linked to menstrual cycle phases in women with type 1 diabetes. J Diabetes Sci Technol. 2015;9:1192–9.View ArticlePubMedPubMed CentralGoogle Scholar
- Guercio G, Rivarola MA, Chaler E, Maceiras M, Belgorosky A. Relationship between the GH/IGF-I axis, insulin sensitivity, and adrenal androgens in normal prepubertal and pubertal boys. J Clin Endocrinol Metab. 2002;87:1162–9.View ArticlePubMedGoogle Scholar
- Hansen PA, Nolte LA, Chen MM, Holloszy JO. Increased GLUT-4 translocation mediates enhanced insulin sensitivity of muscle glucose transport after exercise. J Appl Physiol (1985). 1998;85:1218–22.Google Scholar
- Ruan Y, Thabit H, Leelarathna L, Hartnell S, Willinska ME, Dellweg S, Benesch C, Mader JK, Holzer M, Kojzar H, et al. Variability of insulin requirements over 12 weeks of closed-loop insulin delivery in adults with type 1 diabetes. Diabetes Care. 2016;39:830–32.View ArticlePubMedGoogle Scholar
- Tamborlane WV, Beck RW, Bode BW, Buckingham B, Chase HP, Clemons R, Fiallo-Scharer R, Fox LA, Gilliam LK, Hirsch IB, et al. Continuous glucose monitoring and intensive treatment of type 1 diabetes. N Engl J Med. 2008;359:1464–76.View ArticlePubMedGoogle Scholar
- Bergenstal RM, Tamborlane WV, Ahmann A, Buse JB, Dailey G, Davis SN, Joyce C, Perkins BA, Welsh JB, Willi SM, et al. Sensor-augmented pump therapy for A1C reduction (STAR 3) study: results from the 6-month continuation phase. Diabetes Care. 2011;34:2403–5.View ArticlePubMedPubMed CentralGoogle Scholar
- Bergenstal RM, Klonoff DC, Garg SK, Bode BW, Meredith M, Slover RH, Ahmann AJ, Welsh JB, Lee SW, Kaufman FR, ASPIRE In-Home Study Group. Threshold-based insulin-pump interruption for reduction of hypoglycemia. N Engl J Med. 2013;369:224–32.View ArticlePubMedGoogle Scholar
- Zhong A, Choudhary P, McMahon C, Agrawal P, Welsh JB, Cordero TL, Kaufman FR. Effectiveness of automated insulin management features of the MiniMed(®) 640G sensor-augmented insulin pump. Diabetes Technol Ther. 2016;18:657–63.View ArticlePubMedPubMed CentralGoogle Scholar
- Thabit H, Hovorka R. Coming of age: the artificial pancreas for type 1 diabetes. Diabetologia. 2016;59:1795–805. doi:10.1007/s00125-00016-04022-00124.View ArticlePubMedPubMed CentralGoogle Scholar
- US Food and Drug Administration. Types of artificial pancreas systems. http://www.fda.gov/MedicalDevices/ProductsandMedicalProcedures/HomeHealthandConsumer/ConsumerProducts/ArtificialPancreas/ucm259555.htm. Accessed 26 Oct 2016.
- FDA News Release. FDA approves first automated insulin delivery device for type 1 diabetes. http://www.fda.gov/NewsEvents/Newsroom/PressAnnouncements/ucm522974.htm (last. Accessed 16 Oct 2016.
- Hovorka R, Kumareswaran K, Harris J, Allen JM, Elleri D, Xing D, Kollman C, Nodale M, Murphy HR, Dunger DB, et al. Overnight closed loop insulin delivery (artificial pancreas) in adults with type 1 diabetes: crossover randomised controlled studies. BMJ. 2011;342:d1855.View ArticlePubMedPubMed CentralGoogle Scholar
- Del Favero S, Place J, Kropff J, Messori M, Keith-Hynes P, Visentin R, Monaro M, Galasso S, Boscari F, Toffanin C, et al. Multicenter outpatient dinner/overnight reduction of hypoglycemia and increased time of glucose in target with a wearable artificial pancreas using modular model predictive control in adults with type 1 diabetes. Diabetes Obes Metab. 2015;17:468–76.View ArticlePubMedGoogle Scholar
- Phillip M, Battelino T, Atlas E, Kordonouri O, Bratina N, Miller S, Biester T, Stefanija MA, Muller I, Nimri R, Danne T. Nocturnal glucose control with an artificial pancreas at a diabetes camp. N Engl J Med. 2013;368:824–33.View ArticlePubMedGoogle Scholar
- Thabit H, Tauschmann M, Allen JM, Leelarathna L, Hartnell S, Wilinska ME, Acerini CL, Dellweg S, Benesch C, Heinemann L, et al. Home use of an artificial beta cell in type 1 diabetes. N Engl J Med. 2015;373:2129–40.View ArticlePubMedPubMed CentralGoogle Scholar
- Kropff J, Del Favero S, Place J, Toffanin C, Visentin R, Monaro M, Messori M, Di Palma F, Lanzola G, Farret A, et al. 2 month evening and night closed-loop glucose control in patients with type 1 diabetes under free-living conditions: a randomised crossover trial. Lancet Diabetes Endocrinol. 2015;3:939–47.View ArticlePubMedGoogle Scholar
- Bergenstal RM, Garg S, Weinzimer SA, Buckingham BA, Bode BW, Tamborlane WV, Kaufman FR. Safety of a hybrid closed-loop insulin delivery system in patients with type 1 diabetes. JAMA. 2016;316:1407–8.View ArticlePubMedGoogle Scholar
- Tauschmann M, Allen JM, Wilinska ME, Thabit H, Stewart Z, Cheng P, Kollman C, Acerini CL, Dunger DB, Hovorka R. Day-and-night hybrid closed-loop insulin delivery in adolescents with type 1 diabetes: a free-living, randomized clinical trial. Diabetes Care. 2016;39:2019–25.View ArticlePubMedGoogle Scholar
- Ly TT, Breton MD, Keith-Hynes P, De Salvo D, Clinton P, Benassi K, Mize B, Chernavvsky D, Place J, Wilson DM, et al. Overnight glucose control with an automated, unified safety system in children and adolescents with type 1 diabetes at diabetes camp. Diabetes Care. 2014;37:2310–6.View ArticlePubMedPubMed CentralGoogle Scholar
- Stewart ZA, Wilinska ME, Hartnell S, Temple RC, Rayman G, Stanley KP, Simmons D, Law GR, Scott EM, Hovorka R, Murphy HR. Closed-loop insulin delivery during pregnancy in women with type 1 diabetes. N Engl J Med. 2016;375:644–54.View ArticlePubMedGoogle Scholar
- Haidar A, Smaoui MR, Legault L, Rabasa-Lhoret R. The role of glucagon in the artificial pancreas. Lancet Diabetes Endocrinol. 2016;4:476–9. doi:10.1016/S2213-8587(1016)30006-30007.View ArticlePubMedGoogle Scholar
- Russell SJ, El-Khatib FH, Sinha M, et al. Outpatient glycemic control with a bionic pancreas in type 1 diabetes. N Engl J Med. 2014;371:313–25.View ArticlePubMedPubMed CentralGoogle Scholar
- Russell SJ, Hillard MA, Balliro C, Magyar KL, Selagamsetty R, Sinha M, Grennan K, Mondesir D, Ehklaspour L, Zheng H, et al. Day and night glycaemic control with a bionic pancreas versus conventional insulin pump therapy in preadolescent children with type 1 diabetes: a randomised crossover trial. Lancet Diabetes Endocrinol. 2016;4:233–43.View ArticlePubMedGoogle Scholar
- Haidar A, Legault L, Messier V, Mitre TM, Leroux C, Rabasa-Lhoret R. Comparison of dual-hormone artificial pancreas, single-hormone artificial pancreas, and conventional insulin pump therapy for glycaemic control in patients with type 1 diabetes: an open-label randomised controlled crossover trial. Lancet Diabetes Endocrinol. 2015;3:17–26.View ArticlePubMedGoogle Scholar
- Trevitt S, Simpson S, Wood A. Artificial pancreas device systems for the closed-loop control of type 1 diabetes: what systems are in development? J Diabetes Sci Technol. 2016;10:714–23. doi:10.1177/1932296815617968.View ArticlePubMedGoogle Scholar
- Bally L, Thabit H, Kojzar H, Mader JK, Qerimi-Hyseni J, Hartnell S, Tauschmann M, Allen JM, Wilinska ME, Pieber TR, et al. Closed-loop insulin delivery in well-controlled type 1 diabetes adults: a free-living day-and-night randomised crossover study. Lancet Diabetes Endocrinol. 2016. doi:http://dx.doi.org/10.1016/S2213-8587(17)30001-3.
- DAFNE Study Group. Training in flexible, intensive insulin management to enable dietary freedom in people with type 1 diabetes: dose adjustment for normal eating (DAFNE) randomised controlled trial. BMJ. 2002;325:746.View ArticlePubMed CentralGoogle Scholar
- Bolinder J, Antuna R, Geelhoed-Duijvestijn P, Kröger J, Weitgasser R. Novel glucose-sensing technology and hypoglycaemia in type 1 diabetes: a multicentre, non-masked, randomised controlled trial. Lancet. 2016;388(10057):2254–63. doi:10.1016/S0140-6736(1016)31535-31535.View ArticlePubMedGoogle Scholar
- Heise T, Hövelmann U, Brøndsted L, Adrian CL, Nosek L, Haahr H. Faster-acting insulin aspart: earlier onset of appearance and greater early pharmacokinetic and pharmacodynamic effects than insulin aspart. Diabetes Obes Metab. 2015;17:682–88.View ArticlePubMedPubMed CentralGoogle Scholar
- Castle JR, Youssef JE, Branigan D, Newswanger B, Strange P, Cummins M, Shi L, Prestrelski S. Comparative pharmacokinetic/pharmacodynamic study of liquid stable glucagon versus lyophilized glucagon in type 1 diabetes subjects. J Diabetes Sci Technol. 2016;10:1101–7. doi:10.1177/1932296816653141.View ArticlePubMedGoogle Scholar
- Hovorka R. Closed-loop insulin delivery: from bench to clinical practice. Nat Rev Endocrinol. 2011;7:385–95.View ArticlePubMedGoogle Scholar