Randomized Trial of Closed-Loop Control in Very Young Children with Type 1 Diabetes.

BACKGROUND: The possible advantage of hybrid closed-loop therapy (i.e., artificial pancreas) over sensor-augmented pump therapy in very young children with type 1 diabetes is unclear. METHODS: In this multicenter, randomized, crossover trial, we recruited children 1 to 7 years of age with type 1 diabetes who were receiving insulin-pump therapy at seven centers across Austria, Germany, Luxembourg, and the United Kingdom. Participants received treatment in two 16-week periods, in random order, in which the closed-loop system was compared with sensor-augmented pump therapy (control). The primary end point was the between-treatment difference in the percentage of time that the sensor glucose measurement was in the target range (70 to 180 mg per deciliter) during each 16-week period. The analysis was conducted according to the intention-to-treat principle. Key secondary end points included the percentage of time spent in a hyperglycemic state (glucose level, >180 mg per deciliter), the glycated hemoglobin level, the mean sensor glucose level, and the percentage of time spent in a hypoglycemic state (glucose level, <70 mg per deciliter). Safety was assessed. RESULTS: A total of 74 participants underwent randomization. The mean (±SD) age of the participants was 5.6±1.6 years, and the baseline glycated hemoglobin level was 7.3±0.7%. The percentage of time with the glucose level in the target range was 8.7 percentage points (95% confidence interval [CI], 7.4 to 9.9) higher during the closed-loop period than during the control period (P<0.001). The mean adjusted difference (closed-loop minus control) in the percentage of time spent in a hyperglycemic state was -8.5 percentage points (95% CI, -9.9 to -7.1), the difference in the glycated hemoglobin level was -0.4 percentage points (95% CI, -0.5 to -0.3), and the difference in the mean sensor glucose level was -12.3 mg per deciliter (95% CI, -14.8 to -9.8) (P<0.001 for all comparisons). The time spent in a hypoglycemic state was similar with the two treatments (P = 0.74). The median time spent in the closed-loop mode was 95% (interquartile range, 92 to 97) over the 16-week closed-loop period. One serious adverse event of severe hypoglycemia occurred during the closed-loop period. One serious adverse event that was deemed to be unrelated to treatment occurred. CONCLUSIONS: A hybrid closed-loop system significantly improved glycemic control in very young children with type 1 diabetes, without increasing the time spent in hypoglycemia. (Funded by the European Commission and others; ClinicalTrials.gov number, NCT03784027.).

Effect of artificial pancreas system use on glycaemic control among pregnant women with type 1 diabetes mellitus: A meta-analysis of randomized controlled trials.

AIM: To assess the efficacy of artificial pancreas systems (APS) use among pregnant women with type 1 diabetes mellitus (T1DM) by conducting a meta-analysis. METHODS: We searched five databases, including EMBASE, Web of Science, PubMed, Cochrane Library and SCOPUS, for literature on APS use among pregnant women with T1DM before October 9, 2023. The primary endpoint was 24-hour time in range (TIR; 3.5-7.8 mmol/L). Secondary endpoints included glycaemic metrics for 24-hour (mean blood glucose [MBG], time above range [TAR], time below range [TBR]), and overnight TIR and TBR. RESULTS: We identified four randomized controlled trials involving 164 participants; one study with 16 participants focused on overnight APS use, and the other three focused on 24-hour APS use. Compared with standard care, APS exhibited a favourable effect on 24-hour TIR (standard mean difference [SMD] = 0.53, 95% confidence interval [CI] 0.25, 0.80, P < 0.001), overnight TIR (SMD = 0.67, 95% CI 0.39, 0.95, P < 0.001), and overnight TBR (<3.5 mmol/L; SMD = -0.49, 95% CI -0.77, -0.21 P < 0.001), while there was no significant difference in 24-hour TAR, 24-hour TBR, or MBG between the two groups. We further conducted subgroup analyses after removing the trial focused on overnight APS use and showed that 24-hour APS use reduced not only the 24-hour TIR (SMD = 0.41, 95% CI 0.12, 0.71; P = 0.007) but also the 24-hour TBR (<2.8 mmol/L; SMD = -0.77, 95% CI -1.32, -0.23, P = 0.006). CONCLUSION: Our findings suggest that APS might improve 24-hour TIR and overnight glycaemic control, and 24-hour APS use also significantly reduced 24-hour TBR (2.8 mmol/L) among pregnant women with T1DM.

Parent, child, and adolescent lived experience using the insulin-only iLet Bionic Pancreas.

OBJECTIVE: Automated insulin delivery (AID) systems show great promise for improving glycemic outcomes and reducing disease burden for youth with type 1 diabetes (T1D). The current study examined youth and parent perspectives after using the insulin-only iLet Bionic Pancreas (BP) during the 13-week pivotal trial. METHODS: Parents and youth participated in focus group interviews, with questions assessing participants' experiences in a variety of settings and were grounded in the Unified Theory of Acceptance and Use of Technology. Qualitative analysis was completed by 3 authors using a hybrid thematic analysis approach. RESULTS: Qualitative analysis of focus groups revealed a total of 19 sub-themes falling into 5 major themes (Diabetes Burden, Freedom and Flexibility, Daily Routine, Managing Glucose Levels, and User Experience). Participants' overall experience was positive, with decreased burden and improved freedom and flexibility. Some participants reported challenges in learning to trust the system, adjusting to the user interface, and the system learning their body. CONCLUSION: This study adds to the growing literature on patient perspectives on using AID systems and was among the first to assess caregiver and youth experiences with the BP system over an extended period (13 weeks). Patient feedback on physical experiences with the device and experiences trusting the device to manage glucose should inform future development of technologies as well as approaches to education for patients and their families.

The artificial pancreas: two alternative approaches to achieve a fully closed-loop system with optimal glucose control.

INTRODUCTION: Diabetes mellitus type 1 is a chronic disease that implies mandatory external insulin delivery. The patients must monitor their blood glucose levels and administer appropriate insulin boluses to keep their blood glucose within the desired range. It requires a lot of time and endeavour, and many patients struggle with suboptimal glucose control despite all their efforts. MATERIALS AND METHODS: This narrative review combines existing knowledge with new discoveries from animal experiments. DISCUSSION: In the last decade, artificial pancreas (AP) devices have been developed to improve glucose control and relieve patients of the constant burden of managing their disease. However, a feasible and fully automated AP is yet to be developed. The main challenges preventing the development of a true, subcutaneous (SC) AP system are the slow dynamics of SC glucose sensing and particularly the delay in effect on glucose levels after SC insulin infusions. We have previously published studies on using the intraperitoneal space for an AP; however, we further propose a novel and potentially disruptive way to utilize the vasodilative properties of glucagon in SC AP systems. CONCLUSION: This narrative review presents two lesser-explored viable solutions for AP systems and discusses the potential for improvement toward a fully automated system: A) using the intraperitoneal approach for more rapid insulin absorption, and B) besides using glucagon to treat and prevent hypoglycemia, also administering micro-boluses of glucagon to increase the local SC blood flow, thereby accelerating SC insulin absorption and SC glucose sensor site dynamics.

Effects of an artificial pancreas on postoperative inflammation in patients with esophageal cancer.

PURPOSES: Subtotal esophagectomy for esophageal cancer (EC) is associated with high morbidity rates. Tight glycemic control using an artificial pancreas (AP) is one of the promising strategies to reduce postoperative inflammation and morbidities. However, the effects of tight glycemic control using AP in patients with EC are yet to be fully elucidated. METHOD: This study reviewed 96 patients with EC who underwent subtotal esophagectomy. The postoperative inflammation parameters and morbidity rates were compared between patients who used the AP (n = 27) or not (control group, n = 69). AP is a closed-loop system that comprises a continuous glucose monitor and an insulin pump. RESULTS: The numbers of white blood cells (WBC) and Neutrophils (Neut) were noted to be lower in the AP group than in the control group, but with no significant difference. The ratio in which the number of WBC, Neut, and CRP on each postoperative day (POD) was divided by those tested preoperatively was used to standardize the results. The ratio of WBC and Neut on 1POD was significantly lower in the AP group than in the control group. The rate of surgical site infection was lower in the AP group than in the control group. CONCLUSION: AP significantly decreased WBC and Neut on 1POD; this suggests the beneficial effects of AP in alleviating postoperative inflammation.

Time course changes in insulin sensitivity during cardiac surgery: A retrospective study on intraoperative glycemic management using an artificial pancreas.

INTRODUCTION: Glycemic control is essential for improving the prognosis of cardiac surgery, although precise recommendations have not yet been established. Under a constant blood glucose level, the insulin infusion rate correlates with insulin resistance during glycemic control using an artificial pancreas (AP). We conducted this retrospective study to elucidate changes in intraoperative insulin sensitivity as a first step to creating glycemic control guidelines. METHODS: Fifty-five cardiac surgery patients at our hospital who underwent intraoperative glycemic control using an AP were enrolled. Twenty-three patients undergoing surgical procedures requiring cardiac arrest under hypothermic cardiopulmonary bypass (CPB) with minimum rectal temperatures lower than 32°C, 13 patients undergoing surgical procedures requiring cardiac arrest under hypothermic CPB with minimum rectal temperatures of 32°C, eight patients undergoing on-pump beating coronary artery bypass grafting and 11 patients undergoing off-pump coronary artery bypass were assigned to groups A, B, C and D, respectively. We analyzed the time course of changes in the data derived from glycemic control using the AP. RESULTS: Significant time course changes were observed in groups A and B, but not in groups C and D. Insulin resistance was induced after the start of hypothermic CPB in groups A and B, and the induced change was not resolved by the rewarming procedure, remaining sustained until the end of surgery. CONCLUSIONS: Hypothermia is the predominant factor of the induced insulin resistance during cardiac surgery. Thus, careful glycemic management during hypothermic CPB is important. Prospective clinical studies are required to confirm the findings of this study.

A Randomized Trial of Closed-Loop Control in Children with Type 1 Diabetes.

BACKGROUND: A closed-loop system of insulin delivery (also called an artificial pancreas) may improve glycemic outcomes in children with type 1 diabetes. METHODS: In a 16-week, multicenter, randomized, open-label, parallel-group trial, we assigned, in a 3:1 ratio, children 6 to 13 years of age who had type 1 diabetes to receive treatment with the use of either a closed-loop system of insulin delivery (closed-loop group) or a sensor-augmented insulin pump (control group). The primary outcome was the percentage of time that the glucose level was in the target range of 70 to 180 mg per deciliter, as measured by continuous glucose monitoring. RESULTS: A total of 101 children underwent randomization (78 to the closed-loop group and 23 to the control group); the glycated hemoglobin levels at baseline ranged from 5.7 to 10.1%. The mean (±SD) percentage of time that the glucose level was in the target range of 70 to 180 mg per deciliter increased from 53±17% at baseline to 67±10% (the mean over 16 weeks of treatment) in the closed-loop group and from 51±16% to 55±13% in the control group (mean adjusted difference, 11 percentage points [equivalent to 2.6 hours per day]; 95% confidence interval, 7 to 14; P<0.001). In both groups, the median percentage of time that the glucose level was below 70 mg per deciliter was low (1.6% in the closed-loop group and 1.8% in the control group). In the closed-loop group, the median percentage of time that the system was in the closed-loop mode was 93% (interquartile range, 91 to 95). No episodes of diabetic ketoacidosis or severe hypoglycemia occurred in either group. CONCLUSIONS: In this 16-week trial involving children with type 1 diabetes, the glucose level was in the target range for a greater percentage of time with the use of a closed-loop system than with the use of a sensor-augmented insulin pump. (Funded by Tandem Diabetes Care and the National Institute of Diabetes and Digestive and Kidney Diseases; ClinicalTrials.gov number, NCT03844789.).

Clinical Translation of Bio-Artificial Pancreas Therapies: Ethical, Legal and Psychosocial Interdisciplinary Considerations and Key Recommendations.

The field of regenerative medicine offers potential therapies for Type 1 Diabetes, whereby metabolically active cellular components are combined with synthetic medical devices. These therapies are sometimes referred to as "bioartificial pancreases." For these emerging and rapidly developing therapies to be clinically translated to patients, researchers must overcome not just scientific hurdles, but also navigate complex legal, ethical and psychosocial issues. In this article, we first provide an introductory overview of the key legal, ethical and psychosocial considerations identified in the existing literature and identify areas where research is currently lacking. We then highlight two principal areas of concern in which these discrete disciplines significantly overlap: 1) individual autonomy and 2) access and equality. Using the example of beta-cell provenance, we demonstrate how, by harnessing an interdisciplinary approach we can address these key areas of concern. Moreover, we provide practical recommendations to researchers, clinicians, and policymakers which will help to facilitate the clinical translation of this cutting-edge technology for Type 1 Diabetes patients. Finally, we emphasize the importance of exploring patient perspectives to ensure their responsible and acceptable translation from bench to body.

What is the optimal range of glycemic control for non-diabetic patients undergoing gastroenterological surgery? A single-center randomized controlled trial using an artificial pancreas.

BACKGROUND: This study aimed to determine the optimal target range of perioperative glycemic control for gastroenterological surgery. A closed-loop-type artificial pancreas (AP) was used to diminish the negative impact of hypoglycemia and glycemic variability during tight glycemic control. METHODS: In this single-center randomized trial, non-diabetic patients were assigned to tight (80-110 mg/dL) or moderate glycemic control (110-140 mg/dL) groups between August 2017 and May 2021. AP was used from the intraoperative period until discharge from the intensive care unit. The primary endpoint was the serum interleukin (IL)-6 level on the third postoperative day (3POD), and the secondary endpoints included clinical outcomes. RESULTS: Recruitment was closed before reaching the planned number of patients due to slow enrollment. Tight glycemic control (n = 62) resulted in lower mean glucose levels than moderate glycemic control (n = 66) (121.3 ± 10.8 mg/dL vs. 133.5 ± 12.0 mg/dL, p < 0.001). Insulin was administered at a 65% higher rate for tight glycemic control, achieving appropriate glucose control more than 70% of the treatment time. No hypoglycemia occurred during the AP treatment. No significant difference was observed in serum IL-6 levels on 3POD (23.4 ± 31.1 vs. 32.1 ± 131.0 pg/mL, p = 0.64), morbidity rate, surgical mortality rate, or length of hospital stay between the two groups. CONCLUSIONS: Clinically relevant short-term results did not differ, implying that 80-110 and 110-140 mg/dL are permissible glycemic control ranges when using AP in non-diabetic patients undergoing gastroenterological surgery. (Registered in UMIN; UMIN000028036).

Effect of intensive insulin therapy on inflammatory response after cardiac surgery using bedside artificial pancreas: A propensity score-matched analysis.

BACKGROUND: Perioperative hyperglycemia leads to poor postoperative clinical outcomes, including compromised immune function, cardiovascular events, and mortality. The optimal perioperative blood glucose levels during cardiac surgery remain unclear. A closed-loop glycemic control system (artificial pancreas, target blood glucose range:120-150 mg/dl) prevents postoperative inflammatory response more effectively than conventional insulin therapy (<200 mg/dl). However, the clinical effects of intensive insulin therapy with strict glycemic control (80-110 mg/dl) are controversial. This study aimed to determine whether intensive insulin therapy would further suppress postoperative inflammatory reactions. METHODS: This study analyzed 262 patients who underwent cardiovascular surgery with cardiopulmonary bypass. The patients were divided into two groups according to their target blood glucose range: 80-110 mg/dl and 120-150 mg/dl. The primary outcome was the difference in the C-reactive protein levels between the two groups. RESULTS: Propensity score matching resulted in 95 patients in each group based on their covariates. There was no difference in the postoperative maximum C-reactive protein levels between the two groups (14.81 ± 5.93 mg/dl vs. 14.34 ± 5.52 mg/dl; p = 0.571) following propensity score matching. Hypoglycemia did not occur during intensive insulin therapy. CONCLUSIONS: Intensive insulin therapy following cardiac surgery with cardiopulmonary bypass did not demonstrate significant advantages in the suppression of postoperative inflammatory reactions compared to that with mild glycemic control. However, intensive insulin therapy using an artificial pancreas was found to be safe, with no hypoglycemic events.

Control of blood glucose levels by an artificial pancreas in patients with severe coronavirus disease 2019 pneumonia.

BACKGROUND: Many patients with severe coronavirus disease 2019 (COVID-19) pneumonia experience hyperglycemia. It is often difficult to control blood glucose (BG) levels in such patients using standard intravenous insulin infusion therapy. Therefore, we used an artificial pancreas. This study aimed to compare the BG status of the artificial pancreas with that of standard therapy. METHODS: Fifteen patients were included in the study. BG values and the infusion speed of insulin and glucose by the artificial pancreas were collected. Arterial BG and administration rates of insulin, parenteral sugar, and enteral sugar were recorded during the artificial pancreas and standard therapy. The target BG level was 200 mg/dl. RESULTS: Arterial BG was highly correlated with BG data from the artificial pancreas. A higher BG slightly increased the difference between the BG data from the artificial pancreas and arterial BS. No significant difference in arterial BG was observed between the artificial pancreas and standard therapy. However, the standard deviation with the artificial pancreas was smaller than that under standard therapy (p < 0.0001). More points within the target BG range were achieved with the artificial pancreas (180-220 mg/dl) than under standard therapy. The hyperglycemic index of the artificial pancreas (8.7 ± 15.6 mg/dl) was lower than that of standard therapy (16.0 ± 21.5 mg/dl) (p = 0.0387). No incidence of hypoglycemia occurred under the artificial pancreas. CONCLUSIONS: The rate of achieving target BG was higher using artificial pancreas than with standard therapy. An artificial pancreas helps to control BG in critically ill patients.

APSec1.0: Innovative Security Protocol Design with Formal Security Analysis for the Artificial Pancreas System.

The Medical Internet-of-Things (MIoT) has developed revolutionary ways of delivering medical care to patients. An example system, showing increasing demand, is the artificial pancreas system that offers convenience and reliable support care to patients with Type 1 Diabetes. Despite the apparent benefits, the system cannot escape potential cyber threats that may worsen a patient's condition. The security risks need immediate attention to ensure the privacy of the patient and preserve safe functionality. Motivated by this, we proposed a security protocol for the APS environment wherein support to essential security requirements is guaranteed, the security context negotiation is resource-friendly, and the protocol is resilient to emergencies. Accordingly, the security requirements and correctness of the design protocol were formally verified using BAN logic and AVISPA, and proved its feasibility through the emulation of APS in a controlled environment using commercial off-the-shelf devices. Moreover, the results of our performance analysis indicate that the proposed protocol is more efficient than the other existing works and standards.

Six-Month Randomized, Multicenter Trial of Closed-Loop Control in Type 1 Diabetes.

BACKGROUND: Closed-loop systems that automate insulin delivery may improve glycemic outcomes in patients with type 1 diabetes. METHODS: In this 6-month randomized, multicenter trial, patients with type 1 diabetes were assigned in a 2:1 ratio to receive treatment with a closed-loop system (closed-loop group) or a sensor-augmented pump (control group). The primary outcome was the percentage of time that the blood glucose level was within the target range of 70 to 180 mg per deciliter (3.9 to 10.0 mmol per liter), as measured by continuous glucose monitoring. RESULTS: A total of 168 patients underwent randomization; 112 were assigned to the closed-loop group, and 56 were assigned to the control group. The age range of the patients was 14 to 71 years, and the glycated hemoglobin level ranged from 5.4 to 10.6%. All 168 patients completed the trial. The mean (±SD) percentage of time that the glucose level was within the target range increased in the closed-loop group from 61±17% at baseline to 71±12% during the 6 months and remained unchanged at 59±14% in the control group (mean adjusted difference, 11 percentage points; 95% confidence interval [CI], 9 to 14; P<0.001). The results with regard to the main secondary outcomes (percentage of time that the glucose level was >180 mg per deciliter, mean glucose level, glycated hemoglobin level, and percentage of time that the glucose level was <70 mg per deciliter or <54 mg per deciliter [3.0 mmol per liter]) all met the prespecified hierarchical criterion for significance, favoring the closed-loop system. The mean difference (closed loop minus control) in the percentage of time that the blood glucose level was lower than 70 mg per deciliter was -0.88 percentage points (95% CI, -1.19 to -0.57; P<0.001). The mean adjusted difference in glycated hemoglobin level after 6 months was -0.33 percentage points (95% CI, -0.53 to -0.13; P = 0.001). In the closed-loop group, the median percentage of time that the system was in closed-loop mode was 90% over 6 months. No serious hypoglycemic events occurred in either group; one episode of diabetic ketoacidosis occurred in the closed-loop group. CONCLUSIONS: In this 6-month trial involving patients with type 1 diabetes, the use of a closed-loop system was associated with a greater percentage of time spent in a target glycemic range than the use of a sensor-augmented insulin pump. (Funded by the National Institute of Diabetes and Digestive and Kidney Diseases; iDCL ClinicalTrials.gov number, NCT03563313.).

#WeAreNotWaiting DIY artificial pancreas systems and challenges for the law.

Commercial hybrid closed-loop systems are becoming more readily available, yet the number of DIY artificial pancreas system (DIY APS) users continues to rise. These DIY systems have not gone through the usual regulatory approvals processes, and, thus, present a number of legal difficulties for a number of actors, including clinicians, parents who build DIY APS for their children, and users themselves. These issues have so far received insufficient attention. Due to the complex constellation of actors involved in both development of DIY APSs and in its deployment, it is not currently clear who, and to what extent, different parties might (successfully) be held liable if something goes wrong. Despite this uncertainty, unless and until clearer guidance is issued by relevant bodies, or a case appears before the courts which clarifies the situation, existing legal principles apply. In this article, we examine some of these to shed light on how the law would likely be applied if harm were to result from the use of a DIY APS.

'We're all on the same team'. Perspectives on the future of artificial pancreas systems by adults in Australia with type 1 diabetes using open-source technologies: A qualitative study.

AIMS: An emerging group of people with type 1 diabetes are not waiting for commercial solutions, choosing to manage their condition with open-source artificial pancreas systems (APS). Our aim was to explore their perspectives on the future of APS. METHODS: Semi-structured telephone interviews were conducted (in Australia, October 2018 to January 2019) with 23 adults with type 1 diabetes currently using open-source APS. Interviews were recorded, transcribed and analysed thematically. RESULTS: Participants described five key features of open-source APS they value: compatibility, user-led design, customisability, ability to evolve faster and community-driven. They attributed the success of the open-source APS movement to benefits they derive from these features: choice, solutions that meet their needs, ownership, staying one step ahead and real-time support. They expressed hope that future commercial products and healthcare would benefit from their learnings and from collaboration with the open-source APS community. CONCLUSIONS: Participants believed that there will always be a place for the open-source community. It will continue to build on and advance commercial products, respond to user needs, offering a higher degree of control and customisation than afforded by commercial products and generating optimism for the future. Participants desired that future commercial diabetes technologies would be inspired by the open-source community and developed collaboratively with people with diabetes.

User-driven open-source artificial pancreas systems and patient-reported outcomes: A missed opportunity?

AIM: This paper aims to highlight the attributes of engagement and urgency to act to control diabetes demonstrated by open-source artificial pancreas system users with the view that increased user involvement in research and practice can capitalize on these self-management traits; and to outline the challenges of researching outcomes in the context of unlicensed therapies. METHODS: A group of technically minded people with type 1 diabetes have reverse-engineered commercially available diabetes devices to help them achieve the diabetes outcomes they desire. Although studies have reported improved biomedical outcomes with these artificial pancreas systems, there are only a few studies examining patient-reported outcomes. RESULTS: The investigation of patient-reported outcomes for open-source artificial pancreas system users has been hampered by the rapid advances in the technology, the lack of randomized controlled trials and the ethical challenges of researching unregulated technologies. There is an on-going debate about the most appropriate types of measures to evaluate patient-related outcomes. CONCLUSIONS: The early adopters of open-source artificial pancreas systems exhibit many of the characteristics that predict optimal diabetes outcomes through engagement and urgency regarding self-management. These qualities should be harnessed to improve research in this and other areas of diabetes management.

Errors of commission or omission: The net risk safety analysis conversation we should be having around automated insulin delivery systems.

The question of safety often arises when discussing automated insulin delivery systems, but discussion of safety is often anchored on a comparison to the risk to a person without diabetes, overlooking the risks of living with insulin-requiring diabetes. We should use a net risk safety perspective for evaluating diabetes technology that takes into account the ongoing risks of insulin management for people living with diabetes.

Learning challenges of healthcare professionals supporting open-source automated insulin delivery.

BACKGROUND: Open-source automated insulin delivery (AID) is a user-driven treatment modality used by thousands globally. Healthcare professionals' (HCPs) ability to support users of this technology is limited by a lack of knowledge of these systems. AIMS: To describe the challenges experienced by HCPs supporting participants' use of open-source automated insulin delivery in the Community deRivEd AuTomatEd insulin delivery (CREATE) study. METHODS: Data were collected prospectively from the study team's fortnightly meetings and Slack Workspace (Slack Technologies, Ltd. 2018) during the first 4 months of the trial. Key topics were identified from minutes of meetings. Slack conversations were categorised by topic, with the number of posts per conversation, number of sites per conversation and involvement of experts in open-source AID being recorded. RESULTS: In the first 4 months of the trial, there were 254 conversations in Slack with a mean of 5.2 (±4.25) posts per conversation. The most frequent learning challenge was insulin pump and cannula problems relating to the DANA-iTM insulin pump, which totalled 24.0% of all conversations. Experts on open-source AID use were involved in 83.3% of conversations. CONCLUSIONS: A significant proportion of challenges related to specific devices, rather than AID. Challenges relating to the functioning of open-source AID were more likely to involve input from experts in open-source AID. This is the first report of challenges experienced by a multidisciplinary team in a supported open-source environment that may inform expectations in routine clinical care.

Safety and effectiveness of do-it-yourself artificial pancreas system compared with continuous subcutaneous insulin infusions in combination with free style libre in people with type 1 diabetes.

AIMS: The use of do-it-yourself artificial pancreas systems (DIYAPS) among people with type 1 diabetes is increasing. At present, it is unclear how DIYAPS compares with other technologies such as FreeStyle Libre (FSL) and continuous subcutaneous insulin infusion (CSII). The aim of this analysis is to compare safety, effectiveness and quality-of-life outcomes of DIYAPS use with the addition of FSL to CSII. METHOD: Data from two large UK hospitals were extracted from the Association of British Clinical Diabetologists (ABCD) DIYAPS and FSL audits. Outcomes included HbA1c , glucose TBR (time-below-range), TIR (time-in-range), Diabetes Distress Score (DDS), and Gold hypoglycaemia score. Any adverse events were noted. Changes at follow-up were assessed using paired t-tests and ANOVA in Stata; TIR/TBR at follow-up assessed using unpaired t-tests; chi-square tests assessed the change in frequency of health utilisation (e.g. hospital admissions). RESULTS: DIYAPS (n = 35) and FSL+CSII (n = 149) users, with median follow-up duration of 1.4 (IQR 0.8-2.1) and 1.3 (IQR 0.7-1.8) years, respectively, were included. HbA1c with DIYAPS use changed by -10 mmol/mol [0.9%] (p < 0.001, 95% CI 5, 14 [0.5, 1.3%]) significantly lower (p < 0.001) than in the FSL+CSII group -3 mmol/mol [0.25%] (p < 0.001, 95% CI 1, 4 [0.1, 0.4%]). TIR was higher and TBR was lower in the DIYAPS group. Adverse events were rare in both groups and no significant differences were observed in the frequency of healthcare utilisation. CONCLUSION: DIYAPS use was associated with a lower HbA1c levels, higher TIR and lower TBR compared with FSL+CSII. There was no significant increase in adverse events, although this should be interpreted cautiously given the low numbers of users. Full results from the ABCD DIYAPS audit are awaited.

The automated pancreas: A review of technologies and clinical practice.

Insulin pumps and glucose sensors are effective in improving diabetes therapy and reducing acute complications. The combination of both devices using an algorithm-driven interoperable controller makes automated insulin delivery (AID) systems possible. Many AID systems have been tested in clinical trials and have proven safety and effectiveness. However, currently, none of these systems are available for routine use in children younger than 6 years in Europe. For continued use, both users and prescribers must have sound knowledge of the features of the individual AID systems. Presently, all systems require various user interactions (e.g. meal announcements) because fully automated systems are not yet developed. Open-source systems are non-regulated variants to circumvent existing regulatory conditions. There are risks here for both users and prescribers. To evaluate AID therapy, the metric data of the glucose sensors, 'time in target range' and 'glucose management index', are novel recognized and suitable parameters allowing a consultation based on real glucose and insulin pump download data from the daily life of people with diabetes. Read out via cloud-based software or automatic download of such individual treatment data provides the ideal technical basis for shared decision-making through telemedicine, which must be further evaluated for general use.