Safety and Glycemic Outcomes With a Tubeless Automated Insulin Delivery System in Very Young Children With Type 1 Diabetes: A Single-Arm Multicenter Clinical Trial

Practical considerations for using the Omnipod® 5 Automated Insulin Delivery System: Clinical experience from the United States and Europe

Automated insulin delivery (AID) systems, which consist of an insulin pump, a continuous glucose monitoring system and a software algorithm to automate insulin delivery based on real time glycaemic data, are rapidly evolving. AID is now strongly recommended as the insulin delivery method of choice for people with type 1 diabetes. This article reviews the features and current multinational availability of the Omnipod® 5 Automated Insulin Delivery System and summarizes the latest evidence in support of its efficacy, safety and optimal use. It also provides a series of clinical vignettes illustrating advanced issues related to the initiation and ongoing optimization of insulin therapy using the system, including how to personalize settings and optimize glycaemic outcomes in a variety of clinical circumstances.

Practical implementation of automated insulin delivery systems in 2025: A French position statement update

The advent of automated insulin delivery (AID) systems in 2020 marked a disruptive event in managing type 1 diabetes, benefiting children and adults alike. By 2024, advances in real-world data and research motivated an update to the French consensus on AID systems to expand accessibility, refine guidelines, and optimize patient follow-up. AID systems have consistently improved glycemic control by reducing HbA1c, increasing time-in-range (TIR), and minimizing hypoglycemia, with significant benefits even for specific populations such as individuals with poor glycemic control, brittle diabetes, children, very young children, pregnant women, those with insulin resistance or gastroparesis, or after bariatric surgery. Recent studies support the broadening of AID indications for these special situations, also demonstrating safe transitions directly from multiple daily injections. A careful selection of the most appropriate system for these special situations is essential to achieve optimal personalization for each patient. Training healthcare professionals and patients remains essential for optimizing AID usage. Updated guidelines emphasize multidisciplinary education, telemonitoring, and individualized follow-up to ensure safety and efficacy. The potential of fully automated systems and adjunctive therapies, such as GLP-1 receptor agonists, is being explored alongside promising evidence that AID systems improve glycemic control in type 2 diabetes without increasing hypoglycemia. The future of AID systems lies in innovation and expanding their applicability across diverse patient populations.

Assessing the efficacy of a hybrid closed loop system in a racial-ethnic minority cohort of children and adolescents with type 1 diabetes

OBJECTIVES

Despite improved outcomes in the use of a hybrid closed loop system (HCLS), significant disparities in the application of this technology exist among youth with type 1 diabetes (T1DM). The study aimed to evaluate the impact of a tubeless HCLS on glycemic outcomes in a pediatric racial-ethnic minority population.

METHODS

A retrospective, single-center study included youth with T1D initiating HCLS Omnipod 5. Outcomes included HbA1c, continuous glucose monitor variables, BMI Z score, and episodes of diabetic ketoacidosis (DKA). Outcomes were compared from baseline, 3 and 6 months of Omnipod 5 start.

RESULTS

The study included 174 participants, aged between 2 and 22 years, with a mean age of 7.9 ± 3.7 years. Hispanics constituted 87.3 % (152) of the cohort, with 53 % males and 47 % females. Insurance coverage was 56.9 % public, 42.5 % private, and 0.5 % uninsured. Baseline HbA1c level was 8.0 % ± 1.7, 7.3 % ± 1.1 at 3 months and 7.3 % ± 1.1 at 6 months (p<0.001). Glucose time in range (TIR) was 54.5 % at baseline to 61.9 % at 3 months, and 60.5 % at 6 months (p<0.001). Notably, there were no changes in BMI z-scores or DKA episodes following the initiation of the HCLS Omnipod 5.

CONCLUSIONS

The study showed that a tubeless HCLS significantly improved glycemic control in a pediatric minority cohort with T1DM, without affecting BMI Z-scores or increasing DKA episodes. Ongoing efforts to address disparities in diabetes technology access are crucial for optimizing care and alleviating the burden on individuals with T1DM across racial backgrounds.

Closed-loop therapy: recent advancements and potential predictors of glycemic outcomes

INTRODUCTION

Hybrid closed-loop systems have become the standard of care for managing type 1 diabetes (T1D). Both clinical trials and real-world data have demonstrated that these systems improve glycemic control without increasing the risk of hypoglycemia, while also reducing the overall burden of T1D management. A systematic literature search was conducted using PubMed for studies including individuals with T1D that were published until the end of 2024.

AREAS COVERED

In this review, we summarize the safety and efficacy of currently available hybrid closed-loop systems, drawing from key clinical trials and real-world data analyses. We also highlight recent advancements in closed-loop systems, discuss their limitations and barriers to access, and explore future directions for automated insulin delivery. Finally, we explore potential predictors of outcomes for people with T1D to better understand why some individuals respond better to closed-loop systems than others.

EXPERT OPINION

Closed-loop systems are advancing rapidly, with a growing focus on enhancing automation through fully closed-loop systems to improve glycemic control and further reduce the burden of management. Identifying the predictors that influence how individuals respond to closed-loop therapy will enable these systems to be optimized. It is crucial to ensure widespread and equitable access to this advanced technology.

EValuating Glucose ContrOL Using a Next-GeneraTION Automated Insulin Delivery Algorithm in Patients with Type 1 and Type 2 Diabetes: The EVOLUTION Study

This study evaluated a next-generation automated insulin delivery (AID) algorithm for Omnipod in type 1 and type 2 diabetes across multiple phases: 14-day run-in with usual therapy, 48-h AID use in a hotel setting (type 1 only), and up to 6 weeks of outpatient AID use. Participants did, or did not, deliver manual boluses at alternating periods. Twelve adults with type 1 diabetes completed the hotel phase; 9 of those 12 plus 8 adults with type 2 diabetes completed the subsequent outpatient phase. Outpatient % continuous glucose monitor readings >250 mg/dL decreased from 33.5% at baseline to 9.4% with, and 14.3% without, manual boluses in type 1 diabetes and from 20.8% to 7.7% with, and 10.5% without, manual boluses in type 2 diabetes. Time below 70 mg/dL remained <4% during all phases. No adverse events occurred. In conclusion, a next-generation AID algorithm demonstrated feasibility in people with diabetes.

Diabetes Technology Trends: A Review of the Latest Innovations

CONTEXT

Over the last decade, diabetes management tools such as continuous glucose monitors, automated insulin delivery systems, and connected insulin pens have experienced exponential growth. These technologies are more readily being adopted to manage diabetes due to increased availability. This mini-review provides information about recent innovations available in the United States for diabetes management to improve patient outcomes.

EVIDENCE ACQUISITION

A systematic search was conducted using Medline, PubMed, ScienceDirect, and Embase databases, as well as the Cochrane Library to identify peer-reviewed articles published between 2014 and 2024, in English, and focused on treatment using technology in diabetes care.

EVIDENCE SYNTHESIS

Diabetes technology has significantly eased the burden of both glucose measurement and insulin delivery, which has, overall, improved diabetes management. Advancements in accuracy and glycemic outcomes have been demonstrated through rigorous clinical and observational trials, underscoring their potential to transform diabetes care. The literature suggests that the use of diabetes technologies promotes patient self-efficacy and enhances the quality of life for individuals with both type 2 and type 1 diabetes.

CONCLUSION

Diabetes technology has been shown to improve important aspects of diabetes care, from glycemic control to patient satisfaction and quality of life. It is important to assess the role of technology in type 1 and type 2 diabetes and individualize treatment goals and objectives.

Automated Insulin Delivery in Adults With Type 2 Diabetes: A Nonrandomized Clinical Trial

Importance

There is a need for additional treatment options for people with type 2 diabetes treated with insulin. Given the limited data on the use of automated insulin delivery (AID) systems in type 2 diabetes, studies evaluating their safety and efficacy are important.

Objective

To evaluate the association of AID with hemoglobin A1c (HbA1c) levels in a diverse cohort of adults with type 2 diabetes.

Design, Setting, and Participants

This single-arm prospective trial was conducted at 21 clinical centers in the United States among individuals aged 18 to 75 years with type 2 diabetes who had been using insulin for at least 3 months prior to screening. Participants with AID system use were excluded. The study started with a 14-day standard therapy phase, followed by 13 weeks of treatment with the investigational device. The first participant was enrolled April 11, 2023, and the last participant follow-up visit was February 29, 2024.

Intervention

Participants used the Omnipod 5 AID System for 13 weeks following the 14-day standard therapy phase.

Main Outcomes and Measures

Primary outcome was change in HbA1c level at 13 weeks, tested sequentially for noninferiority (0.3% margin) and superiority, compared with baseline.

Results

Among 305 participants (mean [SD] age, 57 [11] years; 175 [57%] female; 72 [24%] Black, 66 [22%] Hispanic or Latino, and 153 [50%] White), 289 (95%) completed the trial. At baseline, 223 (73%) were using multiple daily injections, 63 (21%) were using basal insulin without bolus, 17 (6%) were using an insulin pump, 188 (62%) were using continuous glucose monitoring, 168 (55%) were using glucagon-like peptide-1 receptor agonists (GLP-1RAs), and 134 (44%) were using sodium-glucose transport protein 2 inhibitors (SGLT-2is). Following AID use, HbA1c levels decreased from a mean (SD) of 8.2% (1.3) at baseline to 7.4% (0.9) at 13 weeks (mean difference, -0.8 [95% CI, -1.0 to -0.7] percentage points; P < .001 for noninferiority and superiority). Improvement was seen across various subgroups (age, sex, race and ethnicity, insurance), and notably with or without use of GLP-1RAs or SGLT-2is and regardless of pretrial mealtime insulin regimen. Time in target glucose range (70-180 mg/dL) increased from a mean (SD) of 45% (25) to 66% (17) (mean difference, 20 [95% CI, 18 to 22] percentage points; P < .001). Percentage of time in hypoglycemic ranges of less than 54 mg/dL and less than 70 mg/dL was noninferior compared with standard therapy. There was 1 episode of severe hypoglycemia and none of diabetic ketoacidosis or hyperosmolar hyperglycemic syndrome.

Conclusions and Relevance

In this nonrandomized clinical trial, HbA1c levels were lower in a diverse cohort of adults with type 2 diabetes following AID initiation, suggesting that AID may be a beneficial and safe option for people with type 2 diabetes using insulin.

Trial Registration

ClinicalTrials.gov Identifier: NCT05815342.

Changes in 90-Day Time in Range Among Youth with Type 1 Diabetes Initiating Different Automated Insulin Delivery Systems

OBJECTIVE

Glycemic outcomes in youth with type 1 diabetes (T1D) in the United States using the two most common automated insulin delivery (AID) systems, Insulet Omnipod 5 (OP5) and Tandem Control IQ (CIQ), have not been compared. We performed the first head-to-head analysis of changes in glycemic metrics among youth initiating AID.

METHODS

This single center, retrospective study included youth <21 years with T1D, who started OP5 or CIQ between 1/2020 and 12/2023, and had ≥70% CGM active time. 14-day baseline and 90-day CGM and AID data were obtained. A multiple linear regression model assessed for changes in 90-day time in range (TIR) according to AID system, adjusting for covariates. Sub-analyses were conducted according to baseline TIR categories.

RESULTS

Among the 428 youth included, there were 214 (50%) in each AID group. OP5 users had a shorter T1D duration (1.6 vs 5.5 years, p<0.001) and were more likely to have transitioned from multiple daily injections (76.1% vs 20.1%, p<0.001). Baseline TIR was similar between groups (OP5 51.6% vs CIQ 53.1%, p=0.70). 90-day TIR increased in both groups (p<0.001), rising by 11.8%-points (95% CI[10.4,13.3]) in OP5 users and 9.8%-points (95% CI[8.3,11.2]) in CIQ users, without any significant between group differences (p=0.08). There were no between group differences in 90-day TIR according to categorical baseline TIR.

CONCLUSIONS

There are no clinically significant differences in 90-day TIR among youth with T1D initiating the two most commonly used AID systems. Patient preference and shared decision making should continue to guide the selection of AID systems.

Real world efficacy and safety of the advanced hybrid closed-loop system MiniMed 780G (SmartGuard) in children under 7 years of age

Objective

To evaluate the safety and efficacy of the Medtronic 780G SmartGuard™ AID system in children under 7 years of age with type 1 diabetes (T1D).

Methods

Retrospective analysis of data from children living with T1D under 7 years of age using the MiniMed 780G™ across three pediatric endocrinology units in the Canary Islands. Metabolic control parameters were analyzed from 14 days of pretreatment to 12 months of follow-up.

Results

The study included 61 children under 7 years of age, 35 in Group 1 and 26 in Group 2. In Group 1, there was a significant increase in time in range (TIR) (13%, p = 0,000), along with a significant decrease in time above range (TAR) (7% for TAR1 and 3% for TAR2; p = 0,000). These improvements persisted for up to 1 year of follow-up. In Group 2, there was a significant increase in the TIR (7%; p = 0,000) and a significant decrease in the TAR (7%; p = 0,000 for TAR1 and 6.5%; p = 0,001 for TAR2). These improvements persisted for up to 6.5 months of follow-up. No significant changes were observed in the time below range (TBR) or variation coefficient (CV) in either group. No events of severe hypoglycemia or diabetic ketoacidosis occurred. Efficacy and safety were maintained in children with a TDD <8 units/day.

Conclusion

The use of the Medtronic 780G™ SmartGuard™ system in children under 7 years of age with T1D is effective and safe, with benefits persisting for up to 6-12 months. The safety profile is maintained in children receiving a TDD <8 units/day.

Real-world glycaemic outcomes in children and young people on advanced hybrid closed-loop therapy: A population-based study in Western Australia

AIMS

To evaluate real-world glycaemic outcomes in children with type 1 diabetes (T1D) commencing advanced hybrid closed loop therapy (AHCL) and to explore these outcomes based on the cohort's clinical and socioeconomic characteristics.

METHODS

A single-centre, population-based retrospective study in children commencing AHCL (Smart Guard, Control IQ, CamAPS) with minimum 70% data from two-weeks CGM pre-AHCL was conducted between December 2021 and June 2023 in Western Australia. CGM metrics (time in range (TIR) 3.9-10 mmol/L, time below range (TBR) < 3.9 mmol/L, glucose management indicator (GMI)) were analysed at baseline, monthly and 6 months. HbA1c at baseline and 6 months were also collected. The proportion meeting glycaemic targets of TIR > 70%, TBR < 4% and GMI < 7.0% were determined. Change in TIR from baseline to 6 months was examined by the following characteristics: %TIR, age group and Index of Relative Socioeconomic Disadvantage (IRSD) of residential postcode.

RESULTS

CGM data of 309 children, mean (SD) age 12.4 (3.2) years were analysed. Glycaemia improved from baseline to 6 months with (mean) TIR +8% (95% CI 7, 9; P ≤ 0.001), GMI -0.3% (95% CI -0.3, -0.2; P < 0.001) and (median) TBR -0.3% (95% CI -0.4, -0.1; P < 0.001). Proportion meeting glycaemic targets increased from 13.3% at baseline to 30.6% at 6 months. Improvement in TIR did not differ based on age group or IRSD Quintile. Greater increase in TIR was seen in those with lowest TIR at baseline (+20.9%, -0.2%; P < 0.001 for baseline TIR < 40%, >70%). There was a 0.27% reduction in HbA1c in 6 months (n = 116) (P < 0.001).

CONCLUSIONS

AHCL improves glycaemia, irrespective of age and socioeconomic characteristics, with greatest changes seen in those with lowest baseline TIR.

Caregiver satisfaction with the use of continuous glucose monitoring and flash glucose monitoring in very young children with type 1 diabetes

BACKGROUND

New technologies for the management of children with type 1 diabete (T1D) are constantly and rapidly evolving. However, few real-life studies have been conducted, and rarely in the youngest patients (<6 years).

AIM

To study parental satisfaction with continuous and flash glucose monitoring devices in young children with T1D.

METHODS

A questionnaire was completed by the parents of 114 children under the age of 6 years with T1D treated with an insulin pump followed-up in one of the hospitals of the French ADIM network between January and July 2020.

RESULTS

One hundred and nine patients (96 %) were equipped with a glucose monitor and 95 % (104/109) of parents stated that they were satisfied or very satisfied with their child's monitoring device, with no significant difference in satisfaction rates between flash and continuous glucose monitoring. The parameter most strongly associated with satisfaction was confidence in the reliability of the device (p = 0.008). Parents who struggled to apply the device were significantly less satisfied (p = 0.024). In real-life use, 83 % of parents (90/109) used additional adhesives, 28 % reported mild skin reactions (30/108) and 39 % severe skin reactions (42/108), 50 % stated that applying the device was not painful, and 95 % found the device easy to apply. The most commonly reported unexpected difficulties were device malfunction (by 16 respondents), the device being too large and causing scarring (6 respondents), and lengthy calibration (6 respondents).

CONCLUSION

The vast majority of parents in this group of young children with T1D were satisfied with continuous or flash glucose monitoring. Satisfaction was strongly associated with confidence in the reliability of the device. Reported adverse effects such as skin reaction and difficulties attaching the device highlight the importance of data on real-life use.

American Diabetes Association Professional Practice Committee, ElSayed NA, McCoy RG, Aleppo G, Balapattabi K, Beverly EA, Briggs Early K, Bruemmer D, Echouffo-Tcheugui JB, Ekhlaspour L, Garg R, Khunti K, Lal R, Lingvay I, Matfin G, Pandya N, Pekas EJ, Pilla SJ, Polsky S, Segal AR, Seley JJ, Srinivasan S, Stanton RC, Bannuru RR. 14. Children and Adolescents: Standards of Care in Diabetes-2025

The American Diabetes Association (ADA) "Standards of Care in Diabetes" includes the ADA's current clinical practice recommendations and is intended to provide the components of diabetes care, general treatment goals and guidelines, and tools to evaluate quality of care. Members of the ADA Professional Practice Committee, an interprofessional expert committee, are responsible for updating the Standards of Care annually, or more frequently as warranted. For a detailed description of ADA standards, statements, and reports, as well as the evidence-grading system for ADA's clinical practice recommendations and a full list of Professional Practice Committee members, please refer to Introduction and Methodology. Readers who wish to comment on the Standards of Care are invited to do so at professional.diabetes.org/SOC.

International Society for Pediatric and Adolescent Diabetes Clinical Practice Consensus Guidelines 2024: Diabetes Technologies - Insulin Delivery

The International Society for Pediatric and Adolescent Diabetes (ISPAD) guidelines represent a rich repository that serves as the only comprehensive set of clinical recommendations for children, adolescents, and young adults living with diabetes worldwide. This chapter builds on the 2022 ISPAD guidelines, and summarizes recent advances in the technology behind insulin administration, with special emphasis on insulin pump therapy, especially on glucose-responsive integrated technology that is feasible with the use of automated insulin delivery (AID) systems in children and adolescents. The International Society for Pediatric and Adolescent Diabetes (ISPAD) guidelines represent a rich repository that serves as the only comprehensive set of clinical recommendations for children, adolescents, and young adults living with diabetes worldwide. This chapter builds on the 2022 ISPAD guidelines, and summarizes recent advances in the technology behind insulin administration, with special emphasis on insulin pump therapy, especially on glucose-responsive integrated technology that is feasible with the use of automated insulin delivery (AID) systems in children and adolescents.

Efficacy and Safety of a Tubeless AID System Compared With Pump Therapy With CGM in the Treatment of Type 1 Diabetes in Adults With Suboptimal Glycemia: A Randomized, Parallel-Group Clinical Trial

OBJECTIVE

To examine the efficacy and safety of the tubeless Omnipod 5 automated insulin delivery (AID) system compared with pump therapy with a continuous glucose monitor (CGM) in adults with type 1 diabetes with suboptimal glycemic outcomes.

RESEARCH DESIGN AND METHODS

In this 13-week multicenter, parallel-group, randomized controlled trial performed in the U.S. and France, adults aged 18-70 years with type 1 diabetes and HbA1c 7-11% (53-97 mmol/mol) were randomly assigned (2:1) to intervention (tubeless AID) or control (pump therapy with CGM) following a 2-week standard therapy period. The primary outcome was a treatment group comparison of time in range (TIR) (70-180 mg/dL) during the trial period.

RESULTS

A total of 194 participants were randomized, with 132 assigned to the intervention and 62 to the control. TIR during the trial was 4.2h/day higher in the intervention compared with the control group (mean difference 17.5% [95% CI 14.0%, 21.1%]; P < 0.0001). The intervention group had a greater reduction in HbA1c from baseline compared with the control group (mean ± SD -1.24 ± 0.75% [-13.6 ± 8.2 mmol/mol] vs. -0.68 ± 0.93% [-7.4 ± 10.2 mmol/mol], respectively; P < 0.0001), accompanied by a significantly lower time <70 mg/dL (1.18 ± 0.86% vs. 1.75 ± 1.68%; P = 0.005) and >180 mg/dL (37.6 ± 11.4% vs. 54.5 ± 15.4%; P < 0.0001). All primary and secondary outcomes were met. No instances of diabetes-related ketoacidosis or severe hypoglycemia occurred in the intervention group.

CONCLUSIONS

Use of the tubeless AID system led to improved glycemic outcomes compared with pump therapy with CGM among adults with type 1 diabetes, underscoring the clinical benefit of AID and bolstering recommendations to establish AID systems as preferred therapy for this population.

Psychosocial outcomes with the Omnipod® 5 Automated Insulin Delivery System in caregivers of very young children with type 1 diabetes

AIM

Automated insulin delivery (AID) systems have demonstrated improved glycaemic outcomes in people with type 1 diabetes (T1D), yet limited data exist on these systems in very young children and their impact on caregivers. We evaluated psychosocial outcomes following use of the tubeless Omnipod® 5 AID System in caregivers of very young children.

MATERIALS AND METHODS

This 3-month single-arm, multicentre, pivotal clinical trial enrolled 80 children aged 2.0-5.9 years with T1D to use the Omnipod 5 AID System. Caregivers completed questionnaires assessing psychosocial outcomes-diabetes distress (Problem Areas in Diabetes), hypoglycaemia confidence (Hypoglycemia Confidence Scale), well-being (World Health Organization 5 Well-Being Index), sleep quality (Pittsburgh Sleep Quality Index), insulin delivery satisfaction (Insulin Delivery Satisfaction Survey) and system usability (System Usability Scale) at baseline with standard therapy and after 3 months of AID use.

RESULTS

Following 3 months of Omnipod 5 use, caregivers experienced significant improvements across all measures, including diabetes-related psychosocial outcomes (Problem Areas in Diabetes; p < 0.0001, Hypoglycemia Confidence Scale; p < 0.01), well-being (World Health Organization 5 Well-Being Index; p < 0.0001) and perceived system usability (System Usability Scale; p < 0.0001). Significant improvements were seen in the Pittsburgh Sleep Quality Index total score and the overall sleep quality, sleep duration and efficiency subscales (all p < 0.05). Insulin Delivery Satisfaction Survey scores improved on all subscales (greater satisfaction, reduced burden and reduced inconvenience; all p < 0.0001).

CONCLUSIONS

Caregivers face unique challenges when managing T1D in very young children. While glycaemic metrics have unquestioned importance, these results evaluating psychosocial outcomes reveal additional meaningful benefits and suggest that the Omnipod 5 AID System alleviates some of the burdens caregivers face with diabetes management.

Use of diabetes technology in children

Children with type 1 diabetes and their caregivers face numerous challenges navigating the unpredictability of this complex disease. Although the burden of managing diabetes remains significant, new technology has eased some of the load and allowed children with type 1 diabetes to achieve tighter glycaemic management without fear of excess hypoglycaemia. Continuous glucose monitor use alone improves outcomes and is considered standard of care for paediatric type 1 diabetes management. Similarly, automated insulin delivery (AID) systems have proven to be safe and effective for children as young as 2 years of age. AID use improves not only blood glucose levels but also quality of life for children with type 1 diabetes and their caregivers and should be strongly considered for all youth with type 1 diabetes if available and affordable. Here, we review key data on the use of diabetes technology in the paediatric population and discuss management issues unique to children and adolescents.

Real-World Evidence of Omnipod® 5 Automated Insulin Delivery System Use in 69,902 People with Type 1 Diabetes

Background: The Omnipod® 5 Automated Insulin Delivery System was associated with favorable glycemic outcomes for people with type 1 diabetes (T1D) in two pivotal clinical trials. Real-world evidence is needed to explore effectiveness in nonstudy conditions. Methods: A retrospective analysis of the United States Omnipod 5 System users (aged ≥2 years) with T1D and sufficient data (≥90 days of data; ≥75% of days with ≥220 continuous glucose monitor readings/day) available in Insulet Corporation's device and person-reported datasets as of July 2023 was performed. Target glucose setting usage (i.e., 110-150 mg/dL in 10 mg/dL increments) was summarized and glycemic outcomes were examined. Subgroup analyses of those using the lowest average glucose target (110 mg/dL) and stratification by baseline characteristics (e.g., age, prior therapy, health insurance coverage) were conducted. Results: In total, 69,902 users were included. Multiple and higher glucose targets were more commonly used in younger age groups. Median percentage of time in range (TIR; 70-180 mg/dL) was 68.8%, 61.3%, and 53.6% for users with average glucose targets of 110, 120, and 130-150 mg/dL, respectively, with minimal time <70 mg/dL (all median <1.13%). Among those with an average glucose target of 110 mg/dL (n = 37,640), median TIR was 65.0% in children and adolescents (2-17 years) and 69.9% in adults (≥18 years). Subgroup analyses of users transitioning from Omnipod DASH or multiple daily injections and of Medicaid/Medicare users demonstrated favorable glycemic outcomes among these groups. Conclusion: These glycemic outcomes from a large and diverse sample of nearly 70,000 children and adults demonstrate effective use of the Omnipod 5 System under real-world conditions.

During an 18-month course of automated insulin delivery treatment, children aged 2 to 6 years achieve and maintain a higher time in tight range

AIMS

To investigate whether the positive effects on glycaemic outcomes of 3-month automated insulin delivery (AID) achieved in 2- to 6-year-old children endure over an extended duration and how AID treatment affects time in tight range (TITR), defined as 3.9-7.8 mmol/L.

RESEARCH DESIGN AND METHODS

We analysed 18 months of follow-up data from a non-randomized, prospective, single-arm clinical trial (n = 35) conducted between 2021 and 2023. The main outcome measures were changes in time in range (TIR), glycated haemoglobin (HbA1c), time above range (TAR), TITR, and mean sensor glucose (SG) value during follow-up visits (at 0, 6, 12 and 18 months). The MiniMed 780G AID system in SmartGuard Mode was used for 18 months. Parental diabetes distress was evaluated at 3 and 18 months with the validated Problem Areas in Diabetes-Parent, revised (PAID-PR) survey.

RESULTS

Between 0 and 6 months, TIR and TITR increased, and HbA1c, mean SG value and TAR decreased significantly (p < 0.001); the favourable effect persisted through 18 months of follow-up. Between 3 and 18 months, PAID-PR score declined significantly (0 months: mean score 37.5; 3 months: mean score 28.6 [p = 0.06]; 18 months: mean score 24.6 [p < 0.001]).

CONCLUSIONS

Treatment with AID significantly increased TITR and TIR in young children. The positive effect of AID on glycaemic control observed after 6 months persisted throughout the 18 months of follow-up. Similarly, parental diabetes distress remained reduced during 18 months follow-up. These findings are reassuring and suggest that AID treatment improves glycaemic control and reduces parental diabetes distress in young children over an extended 18-month follow-up.

Real-World Evidence of Automated Insulin Delivery System Use

Objective: Pivotal trials of automated insulin delivery (AID) closed-loop systems have demonstrated a consistent picture of glycemic benefit, supporting approval of multiple systems by the Food and Drug Administration or Conformité Européenne mark receipt. To assess how pivotal trial findings translate to commercial AID use, a systematic review of retrospective real-world studies was conducted. Methods: PubMed and EMBASE were searched for articles published after 2018 with more than five nonpregnant individuals with type 1 diabetes (T1D). Data were screened/extracted in duplicate for sample size, AID system, glycemic outcomes, and time in automation. Results: Of 80 studies identified, 20 met inclusion criteria representing 171,209 individuals. Time in target range 70-180 mg/dL (3.9-10.0 mmol/L) was the primary outcome in 65% of studies, with the majority of reports (71%) demonstrating a >10% change with AID use. Change in hemoglobin A1c (HbA1c) was reported in nine studies (range 0.1%-0.9%), whereas four reported changes in glucose management indicator (GMI) with a 0.1%-0.4% reduction noted. A decrease in HbA1c or GMI of >0.2% was achieved in two-thirds of the studies describing change in HbA1c and 80% of articles where GMI was described. Time below range <70 mg/dL (<3.9 mmol/L) was reported in 16 studies, with all but 1 study showing stable or reduced levels. Most systems had >90% time in automation. Conclusion: With larger and more diverse populations, and follow-up periods of longer duration (∼9 months vs. 3-6 months for pivotal trials), real-world retrospective analyses confirm pivotal trial findings. Given the glycemic benefits demonstrated, AID is rapidly becoming the standard of care for all people living with T1D. Individuals should be informed of these systems and differences between them, have access to and coverage for these technologies, and receive support as they integrate this mode of insulin delivery into their lives.

American Diabetes Association Professional Practice Committee, ElSayed NA, Aleppo G, Bannuru RR, Bruemmer D, Collins BS, Ekhlaspour L, Hilliard ME, Johnson EL, Khunti K, Lingvay I, Matfin G, McCoy RG, Perry ML, Pilla SJ, Polsky S, Prahalad P, Pratley RE, Segal AR, Seley JJ, Stanton RC, Gabbay RA. 14. Children and Adolescents: Standards of Care in Diabetes-2024

The American Diabetes Association (ADA) "Standards of Care in Diabetes" includes the ADA's current clinical practice recommendations and is intended to provide the components of diabetes care, general treatment goals and guidelines, and tools to evaluate quality of care. Members of the ADA Professional Practice Committee, an interprofessional expert committee, are responsible for updating the Standards of Care annually, or more frequently as warranted. For a detailed description of ADA standards, statements, and reports, as well as the evidence-grading system for ADA's clinical practice recommendations and a full list of Professional Practice Committee members, please refer to Introduction and Methodology. Readers who wish to comment on the Standards of Care are invited to do so at professional.diabetes.org/SOC.

Roadmap to Continuous Glucose Monitoring Adoption and Improved Outcomes in Endocrinology: The 4T (Teamwork, Targets, Technology, and Tight Control) Program

Glucose monitoring is essential for the management of type 1 diabetes and has evolved from urine glucose monitoring in the early 1900s to home blood glucose monitoring in the 1980s to continuous glucose monitoring (CGM) today. Youth with type 1 diabetes struggle to meet A1C goals; however, CGM is associated with improved A1C in these youth and is recommended as a standard of care by diabetes professional organizations. Despite their utility, expanding uptake of CGM systems has been challenging, especially in minoritized communities. The 4T (Teamwork, Targets, Technology, and Tight Control) program was developed using a team-based approach to set consistent glycemic targets and equitably initiate CGM and remote patient monitoring in all youth with new-onset type 1 diabetes. In the pilot 4T study, youth in the 4T cohort had a 0.5% improvement in A1C 12 months after diabetes diagnosis compared with those in the historical cohort. The 4T program can serve as a roadmap for other multidisciplinary pediatric type 1 diabetes clinics to increase CGM adoption and improve glycemic outcomes.

Key indices of glycaemic variability for application in diabetes clinical practice

Near normal glycaemic control in diabetes consists to target daily glucose fluctuations and quarterly HbA1c oscillations in addition to overall glucose exposure. Consequently, the prerequisite is to define simple, and mathematically undisputable key metrics for the short- and long-term variability in glucose homeostasis. As the standard deviations (SD) of either glucose or HbA1c are dependent on their means, the coefficient of variation (CV = SD/mean) should be applied instead as it that avoids the correlation between the SD and mean values. A CV glucose of 36% is the most appropriate threshold between those with stable versus labile glucose homeostasis. However, when near normal mean glucose concentrations are achieved a lower CV threshold of <27 % is necessary for reducing the risk for hypoglycaemia to a minimal rate. For the long-term variability in glucose homeostasis, a CVHbA1c < 5 % seems to be a relevant recommendation for preventing adverse clinical outcomes.

Efficacy and safety of Android artificial pancreas system use at home among adults with type 1 diabetes mellitus in China: protocol of a 26-week, free-living, randomised, open-label, two-arm, two-phase, crossover trial

INTRODUCTION

Do-it-yourself artificial pancreas system (DIY APS) is built using commercially available insulin pump, continuous glucose monitoring (CGM) and an open-source algorithm. Compared with commercial products, DIY systems are affordable, allow personalised settings and provide updated algorithms, making them a more promising therapy for most patients with type 1 diabetes mellitus (T1DM). Many small and self-reported observational studies have found that their real-world use was associated with potential metabolic and psychological benefits. However, rigorous-designed studies are urgently needed to confirm its efficacy and safety.

METHODS AND ANALYSIS

In this 26-week randomised, open-label, two-arm, two-phase, crossover trial, participants aged 18-75 years, with T1DM and glycated haemoglobin (HbA1c) 7-11%, will use AndroidAPS during one 12-week period and sensor-augmented pump during another 12-week period. This study will recruit at least 24 randomised participants. AndroidAPS consists of three components: (1) real-time CGM; (2) insulin pump; (3) AndroidAPS algorithm implemented in Android smartphone. The primary endpoint is time in range (3.9-10.0 mmol/L) derived from CGM. The main secondary endpoints include percentage of sensor glucose values below, within and above target range; mean sensor glucose value; measures of glycaemic variability and centralised HbA1c. Safety endpoints mainly include the frequency of hypoglycaemia events, diabetic ketoacidosis and other serious adverse events.

ETHICS AND DISSEMINATION

This study has been approved by the Ethics Committee of the Third Affiliated Hospital of Sun Yat-sen University. There will be verbal and written information regarding the trial given to each participant. The study will be disseminated through peer-reviewed publications and conference presentations.

OVERALL STATUS

Recruiting.

STUDY START

11 February 2023.

PRIMARY COMPLETION

31 July 2024.

TRIAL REGISTRATION NUMBER

ClinicalTrials.gov Registry (NCT05726461).

Psychosocial Outcomes with the Omnipod® 5 Automated Insulin Delivery System in Children and Adolescents with Type 1 Diabetes and Their Caregivers

Objective

While automated insulin delivery (AID) systems aim to improve glycemic outcomes, the opportunity to improve psychosocial outcomes is also of critical importance for children and adolescents with type 1 diabetes and their caregivers. We evaluated psychosocial outcomes in these groups during a clinical trial of a tubeless AID system, the Omnipod® 5 Automated Insulin Delivery System.

Methods

This single-arm, multicenter, prospective study enrolled 83 children (6.0-11.9 years) and 42 adolescents (12.0-17.9 years) with type 1 diabetes to use a tubeless AID system for 3 months. Participants and their caregivers completed age- and role-appropriate validated questionnaires to assess changes in psychosocial outcomes-diabetes distress (PAID), hypoglycemia confidence (HCS), well-being (WHO-5), sleep quality (PSQI), insulin delivery satisfaction (IDSS), and system usability (SUS)-before and after 3 months of AID system use. Associations between participant characteristics and glycemic outcomes with psychosocial measures were evaluated using linear regression analyses.

Results

Improvements were found for children, adolescents, and/or their caregivers for diabetes-related distress, insulin delivery satisfaction, and system usability (all P < 0.05). Caregivers of children saw additional benefits of improved general well-being, confidence in managing hypoglycemia, and sleep quality (all P < 0.05). Regression analyses showed that improvements in psychosocial outcomes were generally independent of baseline characteristics and changes in glycemic outcomes.

Conclusions

The tubeless AID system was associated with significant improvements in a number of psychosocial outcomes for children, adolescents, and their caregivers. Trial registration: This trial is registered with NCT04196140.

A Systematic Review of Commercial Hybrid Closed-Loop Automated Insulin Delivery Systems

INTRODUCTION

Several different forms of automated insulin delivery systems (AID systems) have recently been developed and are now licensed for type 1 diabetes (T1D). We undertook a systematic review of reported trials and real-world studies for commercial hybrid closed-loop (HCL) systems.

METHODS

Pivotal, phase III and real-world studies using commercial HCL systems that are currently approved for use in type 1 diabetes were reviewed with a devised protocol using the Medline database.

RESULTS

Fifty-nine studies were included in the systematic review (19 for 670G; 8 for 780G; 11 for Control-IQ; 14 for CamAPS FX; 4 for Diabeloop; and 3 for Omnipod 5). Twenty were real-world studies, and 39 were trials or sub-analyses. Twenty-three studies, including 17 additional studies, related to psychosocial outcomes and were analysed separately.

CONCLUSIONS

These studies highlighted that HCL systems improve time In range (TIR) and arouse minimal concerns around severe hypoglycaemia. HCL systems are an effective and safe option for improving diabetes care. Real-world comparisons between systems and their effects on psychological outcomes require further study.

A Meta-Analysis of Randomized Trial Outcomes for the t:slim X2 Insulin Pump with Control-IQ Technology in Youth and Adults from Age 2 to 72

Objective: To evaluate the effect of hybrid-closed loop Control-IQ technology (Control-IQ) in randomized controlled trials (RCTs) in subgroups based on baseline characteristics such as race/ethnicity, socioeconomic status (SES), prestudy insulin delivery modality (pump or multiple daily injections), and baseline glycemic control. Methods: Data were pooled and analyzed from 3 RCTs comparing Control-IQ to a Control group using continuous glucose monitoring in 369 participants with type 1 diabetes (T1D) from age 2 to 72 years old. Results: Time in range 70-180 mg/dL (TIR) in the Control-IQ group (n = 256) increased from 57% ± 17% at baseline to 70% ± 11% during follow-up, and in the Control group (n = 113) was 56% ± 15% and 57% ± 14%, respectively (adjusted treatment group difference = 11.5%, 95% confidence interval +9.7% to +13.2%, P < 0.001), an increase of 2.8 h/day on average. Significant reductions in mean glucose, hyperglycemia metrics, hypoglycemic metrics, and HbA1c were also observed. A statistically similar beneficial treatment effect on time in range 70-180 mg/dL was observed across the full age range irrespective of race-ethnicity, household income, prestudy continuous glucose monitor use, or prestudy insulin delivery method. Participants with the highest baseline HbA1c levels showed the greatest improvements in TIR and HbA1c. Conclusion: This pooled analysis of Control-IQ RCTs demonstrates the beneficial effect of Control-IQ in T1D across a broad spectrum of participant characteristics, including racial-ethnic minority, lower SES, lack of prestudy insulin pump experience, and high HbA1c levels. The greatest benefit was observed in participants with the worst baseline glycemic control in whom the auto-bolus feature of the Control-IQ algorithm appears to have substantial impact. Since no subgroups were identified that did not benefit from Control-IQ, hybrid-closed loop technology should be strongly considered for all youth and adults with T1D. Clinical Trials Registry: clinicaltrials.gov; NCT03563313, NCT03844789, and NCT04796779.

CGM accuracy: Contrasting CE marking with the governmental controls of the USA (FDA) and Australia (TGA): A narrative review

The National Institute for Clinical Excellence updated guidance for continuous glucose monitoring (CGM) in 2022, recommending that CGM be available to all people living with type 1 diabetes. Manufacturers can trade in the UK with Conformité Européenne (CE) marking without an initial national assessment. The regulatory process for CGM CE marking, in contrast to the Food and Drug Administration (FDA) and Australian Therapeutic Goods Administration (TGA) process, is described. Manufacturers operating in the UK provided clinical accuracy studies submitted for CE marking. Critical appraisal of the studies shows several CGM devices have CE marking for wide-ranging indications beyond available data, unlike FDA and TGA approval. The FDA and TGA use tighter controls, requiring comprehensive product-specific clinical data evaluation. In 2018, the FDA published the integrated CGM (iCGM) criteria permitting interoperability. Applying the iCGM criteria to clinical data provided by manufacturers trading in the UK identified several study protocols that minimized glucose variability, thereby improving CGM accuracy on all metrics. These results do not translate into real-life performance. Furthermore, for many CGM devices available in the UK, accuracy reported in the hypoglycaemic range is below iCGM standards, or measurement is absent. We offer a framework to evaluate CGM accuracy studies critically. The review concludes that FDA- and TGA-approved indications match the available clinical data, whereas CE marking indications can have discrepancies. The UK can bolster regulation with UK Conformity Assessed marking from January 2025. However, balanced regulation is needed to ensure innovation and timely technological access are not hindered.

Emerging Diabetes Technologies: Continuous Glucose Monitors/Artificial Pancreases

Over the past decade there have been many advances in diabetes technologies, such as continuous glucose monitors (CGM s), insulin-delivery devices, and hybrid closed loop systems . Now most CGMs (Medtronic-Guardian, Dexcom-G6, and Abbott-Libre-2) have MARD values of < 10%, in contrast to two decades ago when the MARD used to be > 20%. In addition, the majority of the new CGMs do not require calibrations, and the latest CGMs last for 10-14 days. An implantable 6-months CGM by Eversense-3 is now approved in the USA and Europe. Recently, the FDA approved Libre 3 which provides real-time glucose values every minute. Even though it is approved as an iCGM it is not interoperable with automatic-insulin-delivery (AID) systems. The newer CGMs that are likely to be launched in the next few months in the USA include the 10-11 days Dexcom G7 (60% smaller than the existing G6), and the 7-days Medtronic Guardian 4. Most of the newer CGM have several features like automatic initialization, easy insertion, predictive alarms, and alerts. It has also been noticed that an arm insertion site might have better accuracy than abdomen or other sites, like the buttock for kids. Lag time between YSI and different sensors have been reported differently, sometimes it is down to 2-3 min; however, in many instances, it is still 15-20 min, especially when the rate of change of glucose is > 2 mg/min. We believe that in the next decade there will be a significant increase in the number of people who use CGM for their day-to-day diabetes care.

Trial of Hybrid Closed-Loop Control in Young Children with Type 1 Diabetes

BACKGROUND

Closed-loop control systems of insulin delivery may improve glycemic outcomes in young children with type 1 diabetes. The efficacy and safety of initiating a closed-loop system virtually are unclear.

METHODS

In this 13-week, multicenter trial, we randomly assigned, in a 2:1 ratio, children who were at least 2 years of age but younger than 6 years of age who had type 1 diabetes to receive treatment with a closed-loop system of insulin delivery or standard care that included either an insulin pump or multiple daily injections of insulin plus a continuous glucose monitor. 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. Secondary outcomes included the percentage of time that the glucose level was above 250 mg per deciliter or below 70 mg per deciliter, the mean glucose level, the glycated hemoglobin level, and safety outcomes.

RESULTS

A total of 102 children underwent randomization (68 to the closed-loop group and 34 to the standard-care group); the glycated hemoglobin levels at baseline ranged from 5.2 to 11.5%. Initiation of the closed-loop system was virtual in 55 patients (81%). The mean (±SD) percentage of time that the glucose level was within the target range increased from 56.7±18.0% at baseline to 69.3±11.1% during the 13-week follow-up period in the closed-loop group and from 54.9±14.7% to 55.9±12.6% in the standard-care group (mean adjusted difference, 12.4 percentage points [equivalent to approximately 3 hours per day]; 95% confidence interval, 9.5 to 15.3; P<0.001). We observed similar treatment effects (favoring the closed-loop system) on the percentage of time that the glucose level was above 250 mg per deciliter, on the mean glucose level, and on the glycated hemoglobin level, with no significant between-group difference in the percentage of time that the glucose level was below 70 mg per deciliter. There were two cases of severe hypoglycemia in the closed-loop group and one case in the standard-care group. One case of diabetic ketoacidosis occurred in the closed-loop group.

CONCLUSIONS

In this trial involving young children with type 1 diabetes, the glucose level was in the target range for a greater percentage of time with a closed-loop system than with standard care. (Funded by the National Institute of Diabetes and Digestive and Kidney Diseases; PEDAP ClinicalTrials.gov number, NCT04796779.).

Automated Insulin Delivery (AID) Systems: Use and Efficacy in Children and Adults with Type 1 Diabetes and Other Forms of Diabetes in Europe in Early 2023

Type 1 diabetes (T1D) patients' lifestyle and prognosis has remarkably changed over the years, especially after the introduction of insulin pumps, in particular advanced hybrid closed loop systems (AHCL). Emerging data in literature continuously confirm the improvement of glycemic control thanks to the technological evolution taking place in this disease. As stated in previous literature, T1D patients are seen to be more satisfied thanks to the use of these devices that ameliorate not only their health but their daily life routine as well. Limited findings regarding the use of new devices in different age groups and types of patients is their major limit. This review aims to highlight the main characteristics of each Automated Insulin Delivery (AID) system available for patients affected by Type 1 Diabetes Mellitus. Our main goal was to particularly focus on these systems' efficacy and use in different age groups and populations (i.e., children, pregnant women). Recent studies are emerging that demonstrate their efficacy and safety in younger patients and other forms of diabetes.

MiniMed 780G™ in 2- to 6-Year-Old Children: Safety and Clinical Outcomes After the First 12 Weeks

Objective: The safety and impact of the advanced hybrid closed-loop (AHCL) system on glycemic outcome in 2- to 6-year-old children with type 1 diabetes and the diabetes distress of caregivers were evaluated. Research Design and Methods: This was an open-label prospective study (n = 35) with historical controls matched by treatment unit, diabetes duration, age, gender, and baseline treatment modality. The inclusion criteria were (1) type 1 diabetes diagnosis >6 months, (2) total daily dose of insulin ≥8 U/day, (3) HbA1c <10% (85 mmol/mol), and (4) capability to use insulin pump and continuous glucose monitoring. The MiniMed 780G™ AHCL in SmartGuard™ Mode was used for 12 weeks. Parental diabetes distress was evaluated with a validated Problem Areas In Diabetes-Parent, revised (PAID-PR) survey. Results: No events of diabetic ketoacidosis or severe hypoglycemia occurred. Between 0 and 12 weeks, HbA1c (mean change = -2.7 mmol/mol [standard deviation 5.7], P = 0.010), mean sensor glucose value (SG) (-0.8 mmol/L [1.0], P < 0.001), and time above range (TAR) (-8.6% [9.5], P < 0.001) decreased and time in range (TIR) (8.3% [9.3], P < 0.001) increased significantly, whereas no significant change in time below range (TBR) was observed. At the same time, PAID-PR score decreased from 37.5 (18.2) to 27.5 (14.8) (P = 0.006). Conclusions: MiniMed 780G™ AHCL is a safe system and 12-week use was associated with improvements in glycemic control in 2- to 6-year-old children with type 1 diabetes. In addition, AHCL is associated with a reduction in parental diabetes distress after 12-week use. ClinicalTrials.gov registration number: NCT04949022.

14. Children and Adolescents: Standards of Care in Diabetes-2023

The American Diabetes Association (ADA) "Standards of Care in Diabetes" includes the ADA's current clinical practice recommendations and is intended to provide the components of diabetes care, general treatment goals and guidelines, and tools to evaluate quality of care. Members of the ADA Professional Practice Committee, a multidisciplinary expert committee, are responsible for updating the Standards of Care annually, or more frequently as warranted. For a detailed description of ADA standards, statements, and reports, as well as the evidence-grading system for ADA's clinical practice recommendations and a full list of Professional Practice Committee members, please refer to Introduction and Methodology. Readers who wish to comment on the Standards of Care are invited to do so at professional.diabetes.org/SOC.

Closed-loop insulin delivery: update on the state of the field and emerging technologies

INTRODUCTION

Over the last five years, closed-loop insulin delivery systems have transitioned from research-only to real-life use. A number of systems have been commercialized and are increasingly used in clinical practice. Given the rapidity of new developments in the field, understanding the capabilities and key similarities and differences of current systems can be challenging. This review aims to provide an update on the state of the field of closed-loop insulin delivery systems, including emerging technologies.

AREAS COVERED

We summarize key clinical safety and efficacy evidence of commercial and emerging insulin-only hybrid closed-loop systems for type 1 diabetes. A literature search was conducted and clinical trials using closed-loop systems during free-living conditions were identified to report on safety and efficacy data. We comment on emerging technologies and adjuncts for closed-loop systems, as well as non-technological priorities in closed-loop insulin delivery.

EXPERT OPINION

Commercial hybrid closed-loop insulin delivery systems are efficacious, consistently improving glycemic control when compared to standard therapy. Challenges remain in widespread adoption due to clinical inertia and the lack of resources to embrace technological developments by health care professionals.

Practical Guidance on Open Source and Commercial Automated Insulin Delivery Systems: A Guide for Healthcare Professionals Supporting People with Insulin-Requiring Diabetes

As increasing numbers of people with insulin-managed diabetes use automated insulin delivery (AID) systems or seek such technologies, healthcare providers are faced with a steep learning curve. Healthcare providers need to understand how to support these technologies to help inform shared decision making, discussing available options, implementing them in the clinical setting, and guiding users in special situations. At the same time, there is a growing diversity of commercial and open source automated insulin delivery systems that are evolving at a rapid pace. This practical guide seeks to provide a conversational framework for healthcare providers to first understand and then jointly assess AID system options with users and caregivers. Using this framework will help HCPs in learning how to evaluate potential new commercial or open source AID systems, while also providing a guide for conversations to help HCPs to assess the readiness and understanding of users for AID systems. The choice of an AID system is not as simple as whether the system is open source or commercially developed, and indeed there are multiple criteria to assess when choosing an AID system. Most importantly, the choices and preferences of the person living with diabetes should be at the center of any decision around the ideal automated insulin delivery system or any other diabetes technology. This framework highlights issues with AID use that may lead to burnout or perceived failures or may otherwise cause users to abandon the use of AID. It discusses the troubleshooting of basic AID system operation and discusses more advanced topics regarding how to maximize the time spent on AID systems, including how to optimize settings and behaviors for the best possible outcomes with AID technology for people with insulin-requiring diabetes. This practical approach article demonstrates how healthcare providers will benefit from assessing and better understanding all available AID system options to enable them to best support each individual.