Managing Impending Nonsevere Hypoglycemia With Oral Carbohydrates in Type 1 Diabetes: The REVERSIBLE Trial.

OBJECTIVE: Current guidelines recommend initiating treatment for nonsevere (NS) hypoglycemia with 15 g carbohydrates (CHO) at 15-min intervals when blood glucose (BG) reaches <70 mg/dL (3.9 mmol/L). Despite this recommendation, NS hypoglycemia management remains challenging for individuals living with type 1 diabetes (T1D). We aimed to assess the efficacy of 15 g CHO at higher BG levels. RESEARCH DESIGN AND METHODS: A total of 29 individuals with T1D participated in an open-label crossover study. After an inpatient subcutaneous insulin-induced decrease in BG in the fasting state, 16 g CHO was administered orally at a plasma glucose (PG) of <70 (3.9), ≤80 (4.5), or ≤90 mg/dL (5.0 mmol/L). The primary outcome was time spent in hypoglycemia (<70 mg/dL) after initial CHO intake. RESULTS: When comparing the <70 (control) with the ≤80 and ≤90 mg/dL treatment groups, 100 vs. 86 (P = 0.1201) vs. 34% (P < 0.0001) of participants reached hypoglycemia, respectively. These hypoglycemic events lasted 26.0 ± 12.6 vs. 17.9 ± 14.7 (P = 0.026) vs. 7.1 ± 11.8 min (P = 0.002), with a PG nadir of 56.57 ± 9.91 vs. 63.60 ± 7.93 (P = 0.008) vs. 73.51 ± 9.37 mg/dL (P = 0.002), respectively. In the control group, 69% of participants required more than one treatment to reach or maintain normoglycemia (≥70 mg/dL), compared with 52% in the ≤80 mg/dL group and 31% in the ≤90 mg/dL group, with no significant rebound hyperglycemia (>180 mg/dL) within the first hour. CONCLUSIONS: For some impending NS hypoglycemia episodes, individuals with TID could benefit from CHO intake at a higher BG level.

Characteristics associated with having a hemoglobin A1c ≤ 7 % (≤53 mmol/mol) among adults with type 1 diabetes using an automated insulin delivery system.

BACKGROUND: We aim to investigate which characteristics are associated with having an HbA1c ≤ 7 % (≤53 mmol/mol) among adult automated insulin delivery (AID) users living with type 1 diabetes (T1D). METHODS: Cross-sectional study using data from the T1D BETTER registry. INCLUSION CRITERIA: aged ≥ 18 years old, using a commercial AID system, and with a reported HbA1c range value. Participants were divided into two groups (HbA1c ≤ 7 % group, N = 57; and HbA1c > 7 % group, N = 74). RESULTS: A total of 131 participants were included: 61.8 % females, median age (Q1-Q3) was 43.0 (30.0, 55.0) years, and median duration of T1D was 24.0 (16.0, 36.0) years. Logistic regression analysis suggested that participants with a bachelor's degree or above were more likely (OR 3.04, 95 %CI 1.22, 7.58; P = 0.017) and with a longer duration of pump use were less likely (OR 0.90, 95 %CI 0.84, 0.98; P = 0.009) to report an HbA1c ≤ 7 % when using an AID, after adjusting for age, sex, body mass index, and annual household income. CONCLUSIONS: Our study indicates that among AID users, in order to maximize benefits, additional support is needed for those who do not have a bachelor's degree and/or who have been using an insulin pump for a long time.

Non-severe hypoglycemia in type 1 diabetes: a randomized crossover trial comparing two quantities of oral carbohydrates at different insulin-induced hypoglycemia ranges.

Aims: Non-severe hypoglycemia (NS-H) is challenging for people living with type 1 diabetes (PWT1D) and often results from relative iatrogenic hyper-insulinemia. Current guidelines recommend a one-size-fits-all approach of 15-20 g of simple carbohydrates (CHO) every 15 min regardless of the triggering conditions of the NS-H event. We aimed to test different amounts of CHO to treat insulin-induced NS-H at various glucose ranges. Methods: This is a randomized, four-way, crossover study involving PWT1D, testing NS-H treatment outcomes with 16 g vs. 32 g CHO at two plasma glucose (PG) ranges: A: 3.0-3.5 mmol/L and B: <3.0 mmol/L. Across all study arms, participants consumed an additional 16 g of CHO if PG was still <3.0 mmol/L at 15 min and <4.0 mmol/L at 45 min post-initial treatment. Subcutaneous insulin was used in a fasting state to induce NS-H. Participants had frequent venous sampling of PG, insulin, and glucagon levels. Results: Participants (n = 32; 56% female participants) had a mean (SD) age of 46.1 (17.1) years, had HbA1c at 54.0 (6.8 mmol/mol) [7.1% (0.9%)], and had a diabetes duration of 27.5 (17.0) years; 56% were insulin pump users. We compared NS-H correction parameters between 16 g and 32 g of CHO for range A, 3.0-3.5 mmol/L (n = 32), and range B, <3.0 mmol/L (n = 29). Change in PG at 15 min for A: 0.1 (0.8) mmol/L vs. 0.6 (0.9) mmol/L, p = 0.02; and for B: 0.8 (0.9) mmol/L vs. 0.8 (1.0) mmol/L, p = 1.0. Percentage of participants with corrected episodes at 15 min: (A) 19% vs. 47%, p = 0.09; (B) 21% vs. 24%, p = 1.0. A second treatment was necessary in (A) 50% vs. 15% of participants, p = 0.001; (B) 45% vs. 34% of participants, p = 0.37. No statistically significant differences in insulin and glucagon parameters were observed. Conclusions: NS-H, in the context of hyper-insulinemia, is difficult to treat in PWT1D. Initial consumption of 32 g of CHO revealed some advantages at the 3.0-3.5 mmol/L range. This was not reproduced at lower PG ranges since participants needed additional CHO regardless of the amount of initial consumption. Clinical trial registration: ClinicalTrials.gov, identifier NCT03489967.

Efficacy of Treatment of Nonsevere Hypoglycemia in Adults With Type 1 Diabetes Using Oral Carbohydrates During Automated Insulin Delivery With and Without Glucagon.

OBJECTIVES: Self-management guidelines for nonsevere hypoglycemia (NS-H) in type 1 diabetes recommend 15 g of simple carbohydrates (CHO) at 15-minute intervals. Because automated insulin delivery (AID) preventively reduces or suspends insulin infusion for imminent hypoglycemia, we aimed to determine whether guidelines were excessive during AID. METHODS: This work was a secondary analysis of NS-H episodes during inpatient single-hormone (insulin) or dual-hormone (insulin and glucagon) AID trials with standardized CHO treatment protocols. RESULTS: Forty NS-H episodes occurred: 15 during single-hormone arms (2 trials) and 25 during dual-hormone arms (5 trials). At NS-H treatment T0min, plasma glucose (PG) level was 3.1±0.6 mmol/L, corresponding to a sensor value of 3.6±0.6 mmol/L. Fifteen minutes after CHO consumption, PG increased by 0.9±0.8 mmol/L, recovering 45% of episodes to a safe PG of ≥4.0 mmol/L. With repeated CHO consumption, time to recovery was 21.4±15.7 minutes without rebound hyperglycemia; PG 1 hour after initial CHO was 5.9±2.0 mmol/L. Outcome differences between single-hormone and dual-hormone systems were not statistically significant, except for higher insulin and glucagon levels and less repeated treatments in dual-hormone AID. PG and glucagon levels at T0min were positively associated with increase in PG at T15min and negatively associated with time to recovery. CONCLUSIONS: NS-H self-management CHO 15-g/15-minute guidelines were neither excessive nor optimal during AID. There is a need to examine data with different AID systems to optimize treatment recommendations.

Influence of severe hypoglycemia definition wording on reported prevalence in adults and adolescents with type 1 diabetes: a cross-sectional analysis from the BETTER patient-engagement registry analysis.

AIMS: Compare the self-reported prevalence of severe hypoglycemia (level-3-H) in people with type 1 diabetes (PWT1D) according to two wording of definition: by the International Hypoglycemia Study Group (IHSG) and an alternate simplified version developed by patient-partners (PP). METHODS: Cross-sectional study (PWT1D > = 14 years) self-reporting risk factors, patient-year incidence and annual prevalence of level-3-H were defined according to either IHSG's wording (low sugar levels requiring help from another person, or use of glucagon, or hospitalization, or loss of consciousness) or with an alternative simpler wording developed by PP (low sugar levels that you would have been unable to treat). RESULTS: Among 1430 eligible participants, in the last 12 months, the annual prevalence of level-3-H (IHSG: 242/100 vs. PP: 231/100 patient-years, p = 0.229) and median number of episodes (IHSG: 2.0 [1-3] vs. PP: 1.0 [1-3], p = 0.359) were similar. The prevalence of participants reporting hypoglycemia in the past year was higher with IHSG wording (13.5% vs. 10.5%; p < 0.001); this difference was significantly (p < 0.001) larger among patients with impaired awareness of hypoglycemia. Association of both definitions with level-3-H risk factors was comparable. CONCLUSIONS: The level-3-H episodes by PP and IHSG wording were comparable. The simplicity of PP wording may allow better mutual understanding between patients and healthcare team. TRIAL REGISTRATION: NCT03720197 (registered on October 19th 2018).

Prevalence of nocturnal hypoglycemia in free-living conditions in adults with type 1 diabetes: What is the impact of daily physical activity?

Objective: Studies investigating strategies to limit the risk of nocturnal hypoglycemia associated with physical activity (PA) are scarce and have been conducted in standardized, controlled conditions in people with type 1 diabetes (T1D). This study sought to investigate the effect of daily PA level on nocturnal glucose management in free-living conditions while taking into consideration reported mitigation strategies to limit the risk of nocturnal hyoglycemia in people with T1D. Methods: Data from 25 adults (10 males, 15 females, HbA1c: 7.6 ± 0.8%), 20-60 years old, living with T1D, were collected. One week of continuous glucose monitoring and PA (assessed using an accelerometer) were collected in free-living conditions. Nocturnal glucose values (midnight-6:00 am) following an active day "ACT" and a less active day "L-ACT" were analyzed to assess the time spent within the different glycemic target zones (<3.9 mmol/L; 3.9 - 10.0 mmol/L and >10.0 mmol/L) between conditions. Self-reported data about mitigation strategies applied to reduce the risk of nocturnal hypoglycemia was also analyzed. Results: Only 44% of participants reported applying a carbohydrate- or insulin-based strategy to limit the risk of nocturnal hypoglycemia on ACT day. Nocturnal hypoglycemia occurrences were comparable on ACT night versus on L-ACT night. Additional post-meal carbohydrate intake was higher on evenings following ACT (27.7 ± 15.6 g, ACT vs. 19.5 ± 11.0 g, L-ACT; P=0.045), but was frequently associated with an insulin bolus (70% of participants). Nocturnal hypoglycemia the night following ACT occurred mostly in people who administrated an additional insulin bolus before midnight (3 out of 5 participants with nocturnal hypoglycemia). Conclusions: Although people with T1D seem to be aware of the increased risk of nocturnal hypoglycemia associated with PA, the risk associated with additional insulin boluses may not be as clear. Most participants did not report using compensation strategies to reduce the risk of PA related late-onset hypoglycemia which may be because they did not consider habitual PA as something requiring treatment adjustments.

Self-reported Severe and Nonsevere Hypoglycemia in Type 1 Diabetes: Population Surveillance Through the BETTER Patient Engagement Registry: Development and Baseline Characteristics.

OBJECTIVES: The BETTER (BEhaviors, Therapies, TEchnologies and hypoglycemic Risk in Type 1 diabetes) registry is a type 1 diabetes population surveillance system codeveloped with patient partners to address the burden of hypoglycemia and assess the impact of new therapies and technologies. The aim of this report was to describe the baseline characteristics of the BETTER registry cohort. METHODS: A cross-sectional baseline evaluation was performed of a Canadian clinical cohort established after distribution of an online questionnaire. Participants were recruited through clinics, public foundations, advertising and social media. As of February 2021, 1,430 persons ≥14 years of age and living with type 1 diabetes or latent-autoimmune diabetes (LADA) were enrolled. The trial was registered on ClinicalTrials.gov (NCT03720197). RESULTS: Participants were (mean ± standard deviation) 41.2±15.7 years old with a diabetes duration of 22.0±14.7 years, 62.0% female, 92.1% Caucasian and 7.8% self-reporting as LADA, with 40.9% using a continuous subcutaneous insulin infusion (CSII) system and 78.0% using a continuous glucose monitoring (CGM) system. The most recent glycated hemoglobin ≤7% was reported by 29.7% of participants. At least 1 episode of hypoglycemia <3.0 mmol/L (level 2-H) in the last month was reported by 78.4% of participants, with a median (interquartile range) of 5 (3, 10) episodes. The occurrence of severe hypoglycemia (level 3-H) in the last 12 months was reported by 13.3% of participants. Among these, the median number of episodes was 2 (1, 3). CONCLUSIONS: We have established the first surveillance registry for people living with type 1 diabetes in Canada relying on patient-reported outcomes and experiences. Hypoglycemia is a highly prevalent burden despite a relatively wide adoption of CSII and CGM use.

Is Better Understanding of Management Strategies for Adults With Type 1 Diabetes Associated With a Lower Risk of Developing Hypoglycemia During and After Physical Activity?

BACKGROUND: We aim to determine how knowledge and type 1 diabetes (T1D) management strategies are associated with hypoglycemic risk for physical activity (PA)-induced hypoglycemia among people with T1D (PWT1D). METHODS: One hundred thirty-seven physically active adults with T1D completed diabetes management, PA habits and PA-associated hypoglycemia questionnaire. RESULTS: PA-associated hypoglycemia (during PA, within 1 hour of PA and overnight after PA) was reported by 49% to 61% of respondents, with 18% indicating that they felt inadequately equipped to perform regular PA safely. For during PA, more hypoglycemia was reported by PWT1D with more knowledge of hypoglycemia prevention strategies and those using continuous subcutaneous insulin infusion (CSII) vs multiple injections, those with decreasing basal rate 30 to 60 minutes before PA vs no adjustment before PA, and those taking snacks for unplanned PA vs no snacking. For within 1 hour after PA, more hypoglycemia was reported by PWT1D less knowledgeable about insulin pharmacokinetics and those practicing pre- vs post-dinner PA. For overnight after PA, more hypoglycemia was reported by PWT1D with shorter diabetes duration; CSII users having greater understanding of exercise-induced glucose fluctuations; those reporting reducing nocturnal insulin infusion rates vs no adjustment at night; those engaged in PA for at least 31 minutes; and those engaged in moderate and vigorous PA (vs light PA) as well as regularly performing interval training vs nonregular practice. Glycated hemoglobin and use of continuous glucose monitoring were not associated with any timing of reported PA-associated hypoglycemia. CONCLUSIONS: PA-associated hypoglycemia is common among PWT1D. Greater knowledge of PA and T1D management is not associated with less PA-associated hypoglycemia. Diabetes management confidence could encourage higher tolerance for hypoglycemic risk.

Comparison of Nocturnal Glucose After Exercise Among Dual-Hormone, Single-Hormone Algorithm-Assisted Insulin Delivery System and Usual Care in Adults and Adolescents Living with Type 1 Diabetes: A Pooled Analysis.

Background: Available studies comparing the efficacy of dual-hormone (DH)-algorithm-assisted insulin delivery (AID), single-hormone (SH)-AID and usual care on postexercise overnight glucose in people with type 1 diabetes (T1D) have had different outcomes. By pooling data from all available studies, we aim to draw stronger conclusions. Methods: Data were pooled from two three-arm, open-label, randomized, controlled, crossover studies. Forty-one adults [median (Q1, Q3) age: 34.0 years (29.5, 51.0), mean HbA1c: 7.5% ± 1.0%] and 17 adolescents with T1D [age: 14.0 (13.0, 16.0), HbA1c: 7.8% ± 0.8%] underwent DH-AID, SH-AID, and usual care. Each intervention involved evening aerobic exercise (60-min). The primary outcome, time in range% (TIR%) overnight (00:00-06:00) postexercise based on continuous glucose monitoring, was compared among treatments using linear mixed effect model or generalized linear mixed model. Results: Among adults, mean TIR% was 94.0% ± 11.9%, 83.1% ± 20.5%, and 65.1% ± 37.0% during DH-AID, SH-AID, and usual care intervention, respectively (P < 0.05 for all between-group comparisons). DH-AID was superior to SH-AID and usual care, and SH-AID was superior to usual care regarding hypoglycemia and hyperglycemia prevention, but not glycemic variability. Among adolescents, DH-AID and SH-AID reduced dysglycemia, but not glycemic variability, better than usual care. Glycemic outcomes were similar between DH-AID and SH-AID. Conclusion: AID systems allow improved postexercise nocturnal glycemic management than usual care for both adults and adolescents. DH-AID was better than SH-AID among adults, but not adolescents.

Anticipated Basal Insulin Reduction to Prevent Exercise-Induced Hypoglycemia in Adults and Adolescents Living with Type 1 Diabetes.

Objective: We investigated the effect of two key timings for basal insulin rate reduction on exercise-induced glucose changes and explored the association between circulating insulin concentrations and muscle vasoreactivity. Research Design and Methods: Twenty adults and adolescents performed 60-min exercise sessions (ergocycle) at 60% VO2peak, 240 min after a standardized lunch. In a randomized order, we compared an 80% basal insulin reduction applied 40 min (T-40) or 90 min (T-90) before exercise onset. Near-infrared spectroscopy was used to investigate muscle hemodynamics at vastus lateralis. Glucose and insulin plasma concentrations were measured. Results: Reduction in plasma glucose (PG) level during exercise was attenuated during T-90 versus T-40 strategy (-0.89 ± 1.89 mmol/L vs. -2.17 ± 2.49 mmol/L, respectively; P = 0.09). Linear mixed model analysis showed that PG dropped by an additional 0.01 mM per minute in T-40 versus T-90 (time × strategy interaction, P < 0.05). The absolute number of hypoglycemic events was not different between the two strategies, but they occurred later with T-90. Free insulin tends to decrease more during the pre-exercise period in the T-90 strategy (P = 0.08). Although local muscle vasodilatation (ΔTHb) was comparable between the two strategies, we found that PG dropped more in cases of higher exercise-induced skeletal muscle vasodilatation (ΔTHb × time interaction P < 0.005, e: -0.0086 mM/min and additional mM of ΔTHb). Conclusion: T-90 timing reduced exercise-induced drop in PG and delayed the occurrence of hypoglycemic episodes compared with T-40 timing without a significant reduction in the number of events requiring treatment. Trial registration: ClinicalTrials.gov identifier: NCT03349489.

Comparison of two carbohydrate intake strategies to improve glucose control during exercise in adolescents and adults with type 1 diabetes.

BACKGROUND AND AIMS: During aerobic physical activity (PA), hypoglycemia is common in people with type 1 diabetes (T1D). Few studies have compared the effectiveness of different carbohydrate (CHO) intake strategies to prevent PA-induced hypoglycemia. Our objective was to compare the efficacy of two CHO intake strategies, same total amount but different CHO intake timing, to maintain glucose levels in the target range (4.0-10.0 mmol/L) during PA in people with T1D. METHODS AND RESULTS: An open-label, randomized, crossover study in 33 participants (21 adults; 12 adolescents). Participants practiced 60 min PA sessions (ergocyle) at 60% VO2peak 3.5 h after lunch comparing an intake of 0.5 g of CHO per kg of body weight applied in a pre-PA single CHO intake (SCI) or in a distributed CHO intake (DCI) before and during PA. The percentage of time spent in glucose level target range during PA was not different between the two strategies (SCI: 75 ± 35%; DCI: 87 ± 26%; P = 0.12). Hypoglycemia (<4.0 mmol/L) occurred in 4 participants (12%) with SCI compared to 6 participants (18%) with DCI (P = 0.42). The SCI strategy led to a higher increase (P = 0.01) and variability of glucose levels (P = 0.04) compared with DCI. CONCLUSIONS: In people living with T1D, for a 60 min moderate aerobic PA in the post-absorptive condition, a 0.5 g/kg CHO intake helped most participants maintain acceptable glycemic control with both strategies. No clinically significant difference was observed between the SCI and DCI strategies. ClinicalTrials.gov Identifier: NCT03214107 (July 11, 2017).

Effect of caloric restriction with or without physical activity on body composition and epicardial fat in type 2 diabetic patients: A pilot randomized controlled trial.

BACKGROUND AND AIMS: There is debate over the independent and combined effects of caloric restriction (CR) and physical activity (PA) on reduction in fat mass and in epicardial fat thickness. We compared the impact of a similar energy deficit prescription by CR or by CR combined with PA on total fat mass, epicardial fat thickness, and cardiometabolic profile in individuals with type 2 diabetes. METHODS AND RESULTS: In this 16-week randomized controlled study, 73 individuals were randomly enrolled to receive: 1) a monthly motivational phone call (Control), 2) a caloric deficit of -700 kilocalories/day (CR), or 3) a caloric deficit of -500 kilocalories/day combined with a PA program of -200 kilocalories/day (CR&PA). Total fat mass, epicardial fat, and cardiometabolic profile were measured at baseline and after 16 weeks. While comparable weight loss occurred in both intervention groups (-3.9 ± 3.5 kg [CR], -5.1 ± 4.7 kg [CR&PA], -0.2 ± 2.9 kg [Control]), changes in total fat mass were significantly different between all groups (-2.4 ± 2.9 kg [CR], -4.5 ± 3.4 kg [CR&PA], +0.1 ± 2.1 kg [Control]; p < 0.05) as well as epicardial fat thickness (-0.4 ± 1.6 mm [CR], -1.4 ± 1.4 mm [CR&PA], +1.1 ± 1.3 mm [Control]; p < 0.05). There were no significant differences in trends for cardiometabolic parameters improvement between groups. CONCLUSIONS: For a similar energy deficit prescription and comparable weight loss, the combination of CR&PA provides a greater reduction in fat mass and epicardial fat thickness than CR alone in individuals with comparable weight loss and with a similar energy deficit prescription. These results, however, do not translate into significant improvements in cardiometabolic profiles. CLINICALTRIALS. GOV IDENTIFIER: NCT01186952.

Perceptions and expectations of adults with type 1 diabetes for the use of artificial pancreas systems with and without glucagon addition: Results of an online survey.

BACKGROUND AND AIMS: The first hybrid artificial pancreas (AP) systems with insulin only (mono-hormonal) have recently reached the market while next generations systems are under development including those with glucagon addition (bi-hormonal). Understanding the expectations and impressions of future potential users about AP systems is important for optimal use of this clinically effective emerging technology. METHODS AND RESULTS: An online survey about AP systems which consisted of 50 questions was addressed to people with type 1 diabetes in the province of Quebec, Canada. Surveys were completed by 123 respondents with type 1 diabetes (54% women, mean (SD) age 40.2 (14.4) y.o., diabetes duration 23.7 (14.1) years, 58% insulin pump users and 43% glucose sensor users). Of the respondents, 91% understood how AP systems work, 79% trusted them with correct insulin dosing, 73% were willing to replace their current treatment with AP and 80% expected improvement in quality of life. Anxiety about letting an algorithm control their glucose levels was expressed by 18% while the option of ignoring or modifying AP instructions was favoured by 88%. As for bi-hormonal AP systems, 83% of respondents thought they would be useful to further reduce hypoglycemic risks. CONCLUSIONS: Overall, respondents expressed positive views about AP systems use and high expectations for a better quality of life, glycemic control and hypoglycemia reduction. Data from this survey could be useful to health care professionals and developers of AP systems.

Comparison Between Closed-Loop Insulin Delivery System (the Artificial Pancreas) and Sensor-Augmented Pump Therapy: A Randomized-Controlled Crossover Trial.

Objective: Several studies have shown that closed-loop automated insulin delivery (the artificial pancreas) improves glucose control compared with sensor-augmented pump therapy. We aimed to confirm these findings using our automated insulin delivery system based on the iPancreas platform. Research Design and Methods: We conducted a two-center, randomized crossover trial comparing automated insulin delivery with sensor-augmented pump therapy in 36 adults with type 1 diabetes. Each intervention lasted 12 days in outpatient free-living conditions with no remote monitoring. The automated insulin delivery system used a model predictive control algorithm that was a less aggressive version of our earlier dosing algorithm to emphasize safety. The primary outcome was time in the range 3.9-10.0 mmol/L. Results: The automated insulin delivery system was operational 90.2% of the time. Compared with the sensor-augmented pump therapy, automated insulin delivery increased time in range (3.9-10.0 mmol/L) from 61% (interquartile range 53-74) to 69% (60-73; P = 0.006) and increased time in tight target range (3.9-7.8 mmol/L) from 37% (30-49) to 45% (35-51; P = 0.011). Automated insulin delivery also reduced time spent below 3.9 and 3.3 mmol/L from 3.5% (0.8-5.4) to 1.6% (1.1-2.7; P = 0.0021) and from 0.9% (0.2-2.1) to 0.5% (0.2-1.1; P = 0.0122), respectively. Time spent below 2.8 mmol/L was 0.2% (0.0-0.6) with sensor-augmented pump therapy and 0.1% (0.0-0.4; P = 0.155) with automated insulin delivery. Conclusions: Our study confirms findings that automated insulin delivery improves glucose control compared with sensor-augmented pump therapy. ClinicalTrials.gov no. NCT02846831.

A single-blind, randomised, crossover study to reduce hypoglycaemia risk during postprandial exercise with closed-loop insulin delivery in adults with type 1 diabetes: announced (with or without bolus reduction) vs unannounced exercise strategies.

AIMS/HYPOTHESIS: For individuals living with type 1 diabetes, closed-loop insulin delivery improves glycaemic control. Nonetheless, maintenance of glycaemic control during exercise while a prandial insulin bolus remains active is a challenge even to closed-loop systems. We investigated the effect of exercise announcement on the efficacy of a closed-loop system, to reduce hypoglycaemia during postprandial exercise. METHODS: A single-blind randomised, crossover open-label trial was carried out to compare three strategies applied to a closed-loop system at mealtime in preparation for exercise taken 90 min after eating at a research testing centre: (1) announced exercise to the closed-loop system (increases target glucose levels) in addition to a 33% reduction in meal bolus (A-RB); (2) announced exercise to the closed-loop system and a full meal bolus (A-FB); (3) unannounced exercise and a full meal bolus (U-FB). Participants performed 60 min of exercise at 60% [Formula: see text] 90 min after eating breakfast. The investigators were not blinded to the interventions. However, the participants were blinded to the sensor glucose readings and to the insulin infusion rates throughout the intervention visits. RESULTS: The trial was completed by 37 adults with type 1 diabetes, all using insulin pumps: mean±SD, 40.0 ± 15.0 years of age, HbA1c 57.1 ± 10.8 mmol/mol (7.3 ± 1.0%). Reported results were based on plasma glucose values. During exercise and the following 1 h recovery period, time spent in hypoglycaemia (<3.9 mmol/l; primary outcome) was reduced with A-RB (mean ± SD; 2.0 ± 6.2%) and A-FB (7.0 ± 12.6%) vs U-FB (13.0 ± 19.0%; p < 0.0001 and p = 0.005, respectively). During exercise, A-RB had the least drop in plasma glucose levels: A-RB -0.3 ± 2.8 mmol/l, A-FB -2.6 ± 2.9 mmol/l vs U-FB -2.4 ± 2.7 mmol/l (p < 0.0001 and p = 0.5, respectively). Comparison of A-RB vs U-FB revealed a decrease in the time spent in target (3.9-10 mmol/l) by 12.7% (p = 0.05) and an increase in the time spent in hyperglycaemia (>10 mmol/l) by 21% (p = 0.001). No side effects were reported during the applied strategies. CONCLUSIONS/INTERPRETATION: Combining postprandial exercise announcement, which increases closed-loop system glucose target levels, with a 33% meal bolus reduction significantly reduced time spent in hypoglycaemia compared with the other two strategies, yet at the expense of more time spent in hyperglycaemia. TRIAL REGISTRATION: ClinicalTrials.gov NCT0285530 FUNDING: JDRF (2-SRA-2016-210-A-N), the Canadian Institutes of Health Research (354024) and the Fondation J.-A. DeSève chair held by RR-L.

A Qualitative Study of the Views of Individuals With Type 1 Diabetes on the Ethical Considerations Raised by the Artificial Pancreas.

Type 1 diabetes management requires regular blood glucose measurements and tailored insulin administration to prevent its complications. An artificial pancreas is developed to automate insulin therapy, thereby improving its safety and effectiveness. Despite its benefits compared to conventional approaches, the artificial pancreas raises ethical considerations which could impact its uptake and user satisfaction. The objective of this qualitative study was to understand the ethical considerations associated with the artificial pancreas of significance to individuals with type 1 diabetes. Sixteen interviews were conducted with these stakeholders. Qualitative content analysis was conducted on interview transcriptions. Five categories of ethical considerations were identified: (1) contextualized autonomy and control in diabetes management; (2) relational autonomy, identity, and relationships; (3) safety, privacy, and confidentiality; (4) public and private coverage; and (5) justice and patient selection criteria. These issues need to be addressed in the development of the artificial pancreas, clinical practice, and coverage policies.