Advances in diabetes technology to improve the lives of people with cystic fibrosis.

People with cystic fibrosis (CF) are at risk for dysglycaemia caused by progressive beta cell dysfunction and destruction due to pancreatic exocrine disease and fibrosis. CF-related diabetes (CFRD) is a unique form of diabetes that has distinctive features from both type 1 and type 2 diabetes. Recent advances in diabetes technology may be of particular benefit in this population given the complex, multi-system organ involvement and challenging health issues that people with CFRD often face. This review summarises how diabetes technologies, such as continuous glucose monitors (CGMs) and insulin delivery devices: (1) have improved our understanding of CFRD, including how hyperglycaemia affects clinical outcomes in people with CF; (2) may be helpful in the screening and diagnosis of CFRD; and (3) offer promise for improving the management of CFRD and easing the burden that this diagnosis can add to an already medically complicated patient population.

Glycaemic patterns during breastfeeding with postpartum use of closed-loop insulin delivery in women with type 1 diabetes.

AIMS/HYPOTHESIS: This study aimed to describe the relationship between breastfeeding episodes and maternal glucose levels, and to assess whether this differs with closed-loop vs open-loop (sensor-augmented pump) insulin therapy. METHODS: Infant-feeding diaries were collected at 6 weeks, 12 weeks and 24 weeks postpartum in a trial of postpartum closed-loop use in 18 women with type 1 diabetes. Continuous glucose monitoring (CGM) data were used to identify maternal glucose patterns within the 3 h of breastfeeding episodes. Generalised mixed models adjusted for breastfeeding episodes in the same woman, repeat breastfeeding episodes, carbohydrate intake, infant age at time of feeding and early pregnancy HbA1c. This was a secondary analysis of data collected during a randomised trial (ClinicalTrials.gov registration no. NCT04420728). RESULTS: CGM glucose remained above 3.9 mmol/l in the 3 h post-breastfeeding for 93% (397/427) of breastfeeding episodes. There was an overall decrease in glucose at nighttime within 3 h of breastfeeding (1.1 mmol l-1 h-1 decrease on average; p=0.009). A decrease in nighttime glucose was observed with open-loop therapy (1.2 ± 0.5 mmol/l) but was blunted with closed-loop therapy (0.4 ± 0.3 mmol/l; p<0.01, open-loop vs closed-loop). CONCLUSIONS/INTERPRETATION: There is a small decrease in glucose after nighttime breastfeeding that usually does not result in maternal hypoglycaemia; this appears to be blunted with the use of closed-loop therapy.

The use of technology in type 2 diabetes and prediabetes: a narrative review.

The increasing incidence of type 2 diabetes, which represents 90% of diabetes cases globally, is a major public health concern. Improved glucose management reduces the risk of vascular complications and mortality; however, only a small proportion of the type 2 diabetes population have blood glucose levels within the recommended treatment targets. In recent years, diabetes technologies have revolutionised the care of people with type 1 diabetes, and it is becoming increasingly evident that people with type 2 diabetes can also benefit from these advances. In this review, we describe the current knowledge regarding the role of technologies for people living with type 2 diabetes and the evidence supporting their use in clinical practice. We conclude that continuous glucose monitoring systems deliver glycaemic benefits for individuals with type 2 diabetes, whether treated with insulin or non-insulin therapy; further data are required to evaluate the role of these systems in those with prediabetes (defined as impaired glucose tolerance and/or impaired fasting glucose and/or HbA1c levels between 39 mmol/mol [5.7%] and 47 mmol/mol [6.4%]). The use of insulin pumps seems to be safe and effective in people with type 2 diabetes, especially in those with an HbA1c significantly above target. Initial results from studies exploring the impact of closed-loop systems in type 2 diabetes are promising. We discuss directions for future research to fully understand the potential benefits of integrating evidence-based technology into care for people living with type 2 diabetes and prediabetes.

Insulin requirements during pregnancy in women with type 1 diabetes treated with insulin pump.

INTRODUCTION: Insulin requirement in women with Type 1 diabetes (T1DM) changes throughout pregnancy. The aim of this study was to determine the total change in insulin requirements and the effect of gestational weight gain (GWG) and pre-gestational BMI on insulin requirements during pregnancy in women with T1DM treated with continuous subcutaneous insulin infusion and continuous glucose monitoring. METHODS: This historical cohort study included all consecutive women with T1DM who were monitored during pregnancy at the high-risk pregnancy clinic at a tertiary medical center during April 2011-April 2019. One Way Repeated Measures ANOVA with Bonferroni adjustment was conducted to compare the effects of gestational age on insulin requirements and a Two Way Repeated Measures ANOVA was employed to test for the interaction between gestational age intervals and maternal BMI and GWG. RESULTS: Data regarding insulin requirements of 185 pregnancies were included in the analyses. There was a significant effect of gestational age on total insulin (Wilks' Lambda = 0.34, F(6,14) = 4.52, p = 0.009), basal insulin (Wilks' Lambda = 0.41, F(6,14) = 3.30, p = 0.031) and bolus insulin (Wilks' Lambda = 0.43, F(6,14) = 3.02, p = 0.041). Total insulin/kg requirements increased by 5.5% from 13-20 weeks to 20-26 weeks, 19% from 20-26 weeks to 26-33 weeks, and 17.4% from 26 to 33 weeks to delivery (p for trend = 0.009). Overall, insulin requirements increased by 42.1% from conception to delivery (p < 0.01). There was no significant main effect of maternal BMI or GWG on insulin requirements. CONCLUSIONS: There is a significant increase in insulin requirements per kg during pregnancy in women with T1DM who were treated with an insulin pump.

Differences in Glycemic Control for Inpatients with Type 1 Diabetes on Insulin Pump Versus Subcutaneous Insulin Therapy.

BACKGROUND: Inpatient use of insulin pump therapy has been increasing due to greater availability of this technology, however there is a paucity of research that investigates glycemic control of inpatient insulin pump users. OBJECTIVE: To compare the glycemic control of hospitalized patients with type 1 diabetes (T1D) who used insulin pump vs. multiple daily injections (MDI). DESIGN: Retrospective chart review. PARTICIPANTS: Patients with T1D who were hospitalized between January 1, 2017, and December 31, 2019, in an academic medical center in the New York metropolitan area. MAIN MEASURES: Patients were categorized into three groups based on their method of insulin administration: "pump only" group used insulin pump exclusively, "MDI only" group used MDI only, and "intermittent pump" group used a combination of both methods. The primary endpoints are mean blood glucose, rates of hypoglycemic events (blood glucose < 70 mg/dL), and rates of hyperglycemic events (blood glucose > 250 mg/dL). Separate multivariable Poisson regressions were performed to determine the association between the type of insulin administration and rate outcomes (i.e., rate of hypoglycemic events and rate of hyperglycemic events). RESULTS: The study included 78 patients with a mean age of 51, who were mostly male (54%), and white (72%). The average proportion of glucose measurements that were hyperglycemic for the "pump only", "MDI only", and "intermittent pump" groups were 0.11 (SD = 0.11), 0.25 (SD = 0.19), and 0.24 (SD = 0.25), respectively. The "pump only" group has a significantly lower proportion of hyperglycemic events as compared to the "MDI only" group (p = 0.0227). CONCLUSIONS: In this sample, patients who exclusively used their insulin pump while inpatient had a lower rate of hyperglycemic events than patients who used MDI only; suggesting that select patients can safely continue their insulin pump therapy in the inpatient setting.

Diabetes Technology in People with Type 2 Diabetes: Novel Indications.

PURPOSE OF REVIEW: Diabetes technology has been continuously evolving. Current versions of continuous glucose monitors (CGM) use minimally invasive designs, monitor glucose values with high accuracy, and can be used to guide insulin dosing. Extensive evidence supports the use of diabetes technology for monitoring and insulin administration in people with type 1 diabetes. However, there is emerging evidence for people with type 2 diabetes. In this review, we present the different technological devices used to monitor glucose and deliver insulin and the evidence supporting their use in people with type 2 diabetes. RECENT FINDINGS: The use of CGMs in people with type 2 diabetes treated with insulin or non-insulin therapies has been associated with improvements in glycemic control and time spent in hypoglycemia. Smart insulin pens and smart connected devices are options to track compliance and guide insulin delivery in people who do not require insulin pump therapy. Mechanical patch pumps can be used to reduce the burden of multiple daily insulin injections. Automated insulin delivery algorithms improve glycemic control without an increase in hypoglycemia. The use of technology in the management of type 2 diabetes generates glycemic data previously inaccessible, reduces barriers for insulin initiation, improves glycemic control, tracks adherence to therapy, and improves user satisfaction.

Review Article - Diabetes Technology in the Hospital: An Update.

PURPOSE OF REVIEW: There have been many developments in diabetes technology in recent years, with continuous glucose monitoring (CGM), insulin pump therapy (CSII) and automated insulin delivery (AID) becoming progressively accepted in outpatient diabetes care. However, the use of such advanced diabetes technology in the inpatient setting is still limited for several reasons, including logistical challenges and staff training needs. On the other hand, hospital settings with altered diet and stress-induced hyperglycemia often pose challenges to tight glycemic control using conventional treatment tools. Integrating smarter glucose monitoring and insulin delivery devices into the increasingly technical hospital environment could reduce diabetes-related morbidity and mortality. This narrative review describes the most recent literature on the use of diabetes technology in the hospital and suggests avenues for further research. RECENT FINDINGS: Advanced diabetes technology has the potential to improve glycemic control in hospitalized people with and without diabetes, and could add particular value in certain conditions, such as nutrition therapy or perioperative management. Taken together, CGM allows for more accurate and patient-friendly follow-up and ad hoc titration of therapy. AID may also provide benefits, including improved glycemic control and reduced nursing workload. Before advanced diabetes technology can be used on a large scale in the hospital, further research is needed on efficacy, accuracy and safety, while implementation factors such as cost and staff training must also be overcome.

Comparison of Control-IQ and open-source AndroidAPS automated insulin delivery systems in adults with type 1 diabetes: The CODIAC study.

AIM: To compare open-source AndroidAPS (AAPS) and commercially available Control-IQ (CIQ) automated insulin delivery (AID) systems in a prospective, open-label, single-arm clinical trial. METHODS: Adults with type 1 diabetes who had been using AAPS by their own decision entered the first 3-month AAPS phase then were switched to CIQ for 3 months. The results of this treatment were compared with those after the 3-month AAPS phase. The primary endpoint was the change in time in range (% TIR; 70-80 mg/dL). RESULTS: Twenty-five people with diabetes (mean age 34.32 ± 11.07 years; HbA1c 6.4% ± 3%) participated in this study. CIQ was comparable with AAPS in achieving TIR (85.72% ± 7.64% vs. 84.24% ± 8.46%; P = .12). Similarly, there were no differences in percentage time above range (> 180 and > 250 mg/dL), mean sensor glucose (130.3 ± 13.9 vs. 128.3 ± 16.9 mg/dL; P = .21) or HbA1c (6.3% ± 2.1% vs. 6.4% ± 3.1%; P = .59). Percentage time below range (< 70 and < 54 mg/dL) was significantly lower using CIQ than AAPS. Even although participants were mostly satisfied with CIQ (63.6% mostly agreed, 9.1% strongly agreed), they did not plan to switch to CIQ. CONCLUSIONS: The CODIAC study is the first prospective study investigating the switch between open-source and commercially available AID systems. CIQ and AAPS were comparable in achieving TIR. However, hypoglycaemia was significantly lower with CIQ.

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.

Children and adolescent with suboptimal control of type 1 diabetes improve during the first 2 years on automated insulin delivery system.

AIMS: This study investigates the influence of the automated insulin delivery system (AID) on glycaemic control in children and adolescents with type 1 diabetes (T1D) who do not reach optimal glycaemic control with traditional treatment options. MATERIALS AND METHODS: All the patients aged 7 to 16 years with T1D who initiated the AID system between 24 October 2020 and 5 January 2022 in the Helsinki University Hospital and had haemoglobin A1C (HbA1c) levels above 53 mmol/mol/7.0% (N = 79) were included. Time in tight range (TITR), time in range (TIR), HbA1c, mean sensor glucose (SG) value, time below range (TBR) and SG coefficient of variance (CV) were measured at 0, 3, 12 and 24 months. The changes in the outcome measures between the time points were included in the analyses, and statistically significant level was p-value <0.01. RESULTS: After the initiation of AID, glycaemic control improved, and the effect lasted throughout the study period. Between 0 and 3 months, TITR and TIR increased (mean 11.7% [10.6], mean 18.1% [standard deviation [SD] 13.7], p < 0.001), whereas HbA1c and mean SG values decreased significantly (-8.3 mmol/mol [8.7]/-2.9% [2.9], p < 0.001, -1.8 mmol/L [1.7], p < 0.001). These effects were sustainable and were still visible at 12 and 24 months. CONCLUSIONS: Glycaemic control in patients not reaching treatment goals improved significantly after the initiation of the AID system, and the favourable effect lasted throughout the follow-up. AID treatment could be an option for also those paediatric patients with T1D who do not have good skills in diabetes management.

Glycaemic outcomes in adults with type 2 diabetes over 34 weeks with the Omnipod® 5 automated insulin delivery system.

AIMS: The aim was to evaluate the effect of extended use of the Omnipod® 5 automated insulin delivery (AID) system in adults with type 2 diabetes and suboptimal glycaemic control. MATERIALS AND METHODS: Following an 8-week single-arm, multicentre, outpatient trial of AID in adults with type 2 diabetes and baseline ≥ 64 mmol/mol, participants were given the opportunity to continue use of the AID system in a 26-week (~6 month) extension phase. The primary safety endpoints were percentage of time with sensor glucose ≥ 250 mg/dL and < 54 mg/dL. Additional glycaemic measures, including percentage of time in range (TIR) (70-180 mg/dL) and HbA1c, were evaluated. The use of non-insulin anti-hyperglycaemic medications was permitted throughout the entire study. RESULTS: During the initial 8-week study, participants (N = 22) achieved a decrease in percentage of time ≥ 250 mg/dL from 27.4% ± 21.0% to 10.5% ± 8.8% (p < 0.0001), which further decreased to 9.7% ± 9.2% during the extension phase (p = 0.0002 vs. standard therapy). Percentage of time < 54 mg/dL remained low from standard therapy through extension (median [interquartile range] 0.00% [0.00%, 0.06%] vs. 0.02% [0.00%, 0.05%], p > 0.05). HbA1c decreased by 1.6% ± 1.2% (15.5 ± 13.1 mmol/mol, p < 0.0001) and TIR increased by 22.4% ± 19.2% (p < 0.0001) from standard therapy through extension with no significant change in body mass index and without an observed increase in total daily insulin requirements. CONCLUSIONS: These longer-term findings of Omnipod 5 AID system use demonstrate the potential value of AID in helping people with type 2 diabetes reach glycaemic targets.

Systematic review of disparities in continuous glucose monitoring and insulin pump utilization in the United States: Key themes and evidentiary gaps.

AIM: This study aims to provide a comprehensive overview of real-world evidence pertaining to disparities in the utilization of continuous glucose monitors (CGMs)/insulin pumps to highlight potential evidentiary gaps and discern emerging themes from the literature. MATERIALS AND METHODS: A systematic review of published manuscripts and abstracts was conducted from: MEDLINE, EMBASE, Nursing and Allied Health, Web of Science and CINHAL. Attributes related to patients, outcomes, interventions (CGMs/pumps/both) and study type were captured. In addition, factors associated with disparities in device utilization were examined. RESULTS: Thirty-six studies were included in the final analysis; the studies predominantly focused on people living with type 1 diabetes. Only two studies included individuals with type 2 diabetes. Almost two-thirds of the studies reported outcomes associated with disparities (e.g. glycated haemoglobin, diabetic ketoacidosis, resource utilization). Most studies highlighted disparities across race, ethnicity and insurance type. Evidentiary gaps were identified, particularly in the evidence for people with type 2 diabetes, the continuation of CGM/pump use and limited studies addressing disparities among Native Americans/American Indians. CONCLUSION: This study reveals critical disparities in diabetes technology use across race, ethnicity and insurance type, particularly among people with type 1 diabetes. Evidentiary gaps assessing disparities in diabetes technology use persist, particularly concerning people with type 2 diabetes, Native American/American Indian and LGBTQ+ populations, and in outcomes related to continuation of use. Social and digital determinants of health, such as income, transportation, residential location and technological literacy, are crucial to achieving equitable access. Future research should focus on the patient journey to identify opportunities for equitable access to diabetes technology as its use grows.

Automating insulin delivery through pump and continuous glucose monitoring connectivity: Maximizing opportunities to improve outcomes.

The development of automated insulin delivery (AID) systems, which connect continuous glucose monitoring (CGM) systems with algorithmic insulin delivery from an insulin pump (continuous subcutaneous insulin infusion, [CSII]), has led to improved glycaemia and quality of life benefits in those with insulin-treated diabetes. This review summarizes the benefits gained by the connectivity between insulin pumps and CGM devices. It details the technical requirements and advances that have enabled this, and highlights the clinical and user benefits of such systems. Clinical trials and real-world outcomes from the use of AID systems in people with type 1 diabetes (T1D) will be the focus of this article; outcomes in people with type 2 diabetes (T2D) and other diabetes subtypes will also be discussed. We also detail the limitations of current technological approaches for connectivity between insulin pumps and CGM devices. While recognizing the barriers, we discuss opportunities for the future.

Gastric emptying in newly diagnosed, treatment-naïve Han Chinese with type 2 diabetes and the impact of 4-week insulin pump therapy.

AIM: To evaluate gastric emptying (GE) and the glycaemic response to a 75-g oral glucose load in newly diagnosed, treatment-naïve Han Chinese with type 2 diabetes (T2D) before insulin pump therapy, after 4 weeks of insulin pump therapy, and 12-15 months after insulin pump therapy. MATERIALS AND METHODS: Twenty participants with T2D (baseline glycated haemoglobin [± SD] 10.7% [± 1.2%] 93 [± 10] mmol/mol) ingested a 75-g glucose drink containing 150 mg 13C-acetate, to determine the gastric half-emptying time, and underwent assessment of plasma glucose and serum insulin, C-peptide and glucagon-like peptide-1 (GLP-1) over 180 min before and after 4 weeks of insulin pump therapy (discontinued for 48 h before re-assessment). Data were compared to those in 19 healthy participants matched for sex and age. After 12-15 months, GE was re-measured in 14 of the T2D participants. RESULTS: At baseline, participants with T2D exhibited substantially augmented fasting and post-glucose glycaemia, diminished insulin secretion, and more rapid GE (p < 0.05 each), but comparable GLP-1, compared to healthy participants. Following insulin pump therapy, insulin secretion increased, GLP-1 secretion was attenuated, fasting and post-glucose glycaemia were lower, and GE was slowed (p < 0.05 each). The slowing of GE in T2D participants was sustained over 12-15 months of follow-up. CONCLUSIONS: In newly diagnosed Han Chinese with T2D, GE is often accelerated despite poor glycaemic control and is slowed by short-term insulin pump therapy. The effect on GE is maintained for at least 12 months.

Persistent disparities in insulin pump uptake despite a universal pump programme for type 1 diabetes in Ontario, Canada.

AIM: To evaluate associations between social disadvantage and insulin pump use among adults with type 1 diabetes (T1D) in the context of a universal publicly funded insulin pump programme in Ontario, Canada, and to ascertain whether social disparities in insulin pump programme enrolment have decreased over time. METHODS: Population-based cross-sectional studies were conducted using administrative healthcare data in Ontario, Canada. First, among adults aged older than 18 years diagnosed with T1D before 31 March 2021, logistic regression was used to assess the association between neighbourhood social disadvantage (Ontario marginalization index quintiles) and insulin pump use. Second, among all paediatric and adult applicants to the insulin pump programme from 1 September 2006 to 31 March 2022, ordinal logistic regression was used to evaluate associations between year of insulin pump initiation and social disadvantage. RESULTS: Among 27 453 adults with T1D, 60% used insulin pumps. Greater social disadvantage was associated with lower odds of insulin pump use (adjusted odds ratio [OR] 0.44 [95% confidence interval {CI} 0.39-0.48] for greatest vs. lowest social disadvantage quintile). Among 21 002 paediatric and adult applicants to the insulin pump programme, social disparities in pump use decreased in the first 3 years of the programme, plateaued until 2020, then increased from 2020 to 2022, with no change in the odds of being in a higher social deprivation quintile for 2022 relative to 2007 (OR 1.09 [95% CI 0.83-1.44]). CONCLUSIONS: Despite a universal pump programme for individuals with T1D, disparities by social disadvantage persist. Residual financial and non-financial barriers must be addressed to promote equitable insulin pump uptake.

Generating real-world evidence on diabetes technology using the CareLink Personal data management system.

AIM: To establish trust in real-world evidence (RWE) derived from CareLink Personal (CP), Medtronic's data management system for MiniMed system users, we show that this database and its analyses strictly adhere to the principles of RWE. METHODS: The methodology is applicable to all MiniMed iterations. We described every step from raw data to predefined outcomes. In addition, we showed CP's fitness-for-research by the below metrics (using last year's MiniMed 780G system data as a case study): representative population, relevant endpoints, appropriate granularity, high data completeness, high data representativity and consistency in results. RESULTS: The process from raw data to outcomes has been validated, and metrics/logics adhere to established definitions. Over 95% of users have a CP account; with 96% providing consent, this allows the use of >91% of the census population. There is no rationale for an over-representation of a specific phenotype among users not included. CP includes >50 endpoints, including 'International Consensus on Time in Range' based metrics. Data are recorded at 5-min intervals (maximum 288 per day), and on average there were 263 data points per person per day. Ninety-nine per cent of uploads were automated. For the last year, only 1 in 6 users had a data gap >1 day, and 1 in 50 had a gap >1 week. The time in range from in-silico studies was similar to that of real-world studies from different geographies and with ever growing populations. CONCLUSION: RWE from CP adheres to the principles of RWE and can serve as robust evidence on the performance and safety of MiniMed systems.

Patient-reported outcomes in studies of diabetes technology: What matters.

In recent years, diabetes technologies have revolutionized the care of people with type 1 diabetes (T1D). Emerging evidence suggests that people with type 2 diabetes (T2D) can experience similar benefits from these advances in technology. While glycaemic outcomes are often a primary focus, the lived experience of the person with diabetes is equally important. In this review, we describe the impact of diabetes technologies on patient-reported outcome measures (PROMs). We highlight that most of the published studies investigated PROMs as secondary outcomes. Continuous glucose monitoring systems may have an important role in improving PROMs in individuals with T1D, which may be driven by the prevention or proactive management of hypoglycaemia. In people with T2D, continuous glucose monitoring may also have an important role in improving PROMs, particularly in those treated with insulin therapy. The impact of insulin pumps on PROMs seems positive in T1D, while there is limited evidence in T2D. Studies of hybrid closed-loop therapies suggest increased treatment satisfaction, improved quality of life and decreased diabetes-related distress in T1D, but it is unclear whether these benefits are because of a 'class-effect' or individual systems. We conclude that PROMs deserve a more central role in trials and clinical practice, and we discuss directions for future research.

Single-arm, first-in-human feasibility study results for an ultra-low-cost insulin pump.

BACKGROUND: Use of Continuous Subcutaneous Insulin Infusion (CSII) has been shown to improve glycemic outcomes in Type 1 Diabetes (T1D), but high costs limit accessibility. To address this issue, an inter-operable, open-source Ultra-Low-Cost Insulin Pump (ULCIP) was developed and previously shown to demonstrate comparable delivery accuracy to commercial models in standardised laboratory tests. This study aims to evaluate the updated ULCIP in-vivo, assessing its viability as an affordable alternative for those who cannot afford commercially available devices. METHODS: This first-in-human feasibility study recruited six participants with T1D. During a nine-hour inpatient stay, participants used the ULCIP under clinical supervision. Venous glucose, insulin, and ß-Hydroxybutyrate were monitored to assess device performance. RESULTS: Participants displayed expected blood glucose and blood insulin levels in response to programmed basal and bolus insulin dosing. One participant developed mild ketosis, which was treated and did not recur when a new pump reservoir was placed. All other participants maintained ß-Hydroxybutyrate < 0.6 mmol/L throughout. CONCLUSION: The ULCIP safely delivered insulin therapy to users in a supervised inpatient environment. Future work should focus on correcting a pump hardware issue identified in this trial and extending device capabilities for use in closed loop control. Longer-term outpatient studies are warranted. TRIAL REGISTRATION: The trial was prospectively registered with the Australian New Zealand Clinical Trials Registry (ACTRN12623001288617) on the 11 December 2023.

Associations between insulin pump self-management and HbA1c in type 1 diabetes.

AIMS: Insulin pump self-management is important for glycaemic outcomes. We aimed to investigate associations between self-management factors and HbA1c. METHODS: Adult insulin pump users with type 1 diabetes (n = 770) completed an online questionnaire. The latest HbA1c and demographics were extracted from national registries. Associations between HbA1c and self-management (use of advanced features, timing of infusion set change, timing of meal bolus, data-upload and pump settings adjustments) were investigated using backward selected linear regression models. RESULTS: Of the 699 responders eligible for this study, 60% were women; the median age and diabetes duration were 49 and 25 years, respectively. Significant associations with HbA1c were found for changing infusion set every 0-4 days relative to 5-10 days (-5 mmol/mol (-0.4%), p = 0.003), and for never/rarely missing a bolus (-6 mmol/mol (-0.5%), p < 0.001) relative to often missing a bolus. Timing insulin 10-15 min before meal relative to after meal start was also associated with lower HbA1c (-3 mmol/mol (-0.3%), p = 0.023). Self-adjusting pump settings showed the strongest association with lower HbA1c (-6 mmol/mol (-0.6%), p < 0.001) relative to health care professionals doing all adjustments. CONCLUSION: Self-adjusting insulin pump settings, optimal timing and few omissions of meal boluses, and timely change of infusion set are associated with lower HbA1c.

Impact of glycaemic technologies on quality of life and related outcomes in adults with type 1 diabetes: A narrative review.

AIMS: To explore the association between the use of glycaemic technologies and person-reported outcomes (PROs) in adults with type 1 diabetes (T1D). METHODS: We included T1D and technology publications reporting on PROs since 2014. Only randomised controlled trials and cohort studies that used validated PRO measures (PROMs) were considered. RESULTS: T1D studies reported on a broad range of validated PROMs, mainly as secondary outcome measures. Most studies examined continuous glucose monitoring (CGM), intermittently scanned CGM (isCGM), and the role of continuous subcutaneous insulin infusion (CSII), including sensor-augmented CSII and closed loop systems. Generally, studies demonstrated a positive impact of technology on hypoglycaemia-specific and diabetes-specific PROs, including reduced fear of hypoglycaemia and diabetes distress, and greater satisfaction with diabetes treatment. In contrast, generic PROMs (including measures of health/functional status, emotional well-being, depressive symptoms, and sleep quality) were less likely to demonstrate improvements associated with the use of glycaemic technologies. Several studies showed contradictory findings, which may relate to study design, population and length of follow-up. Differences in PRO findings were apparent between randomised controlled trials and cohort studies, which may be due to different populations studied and/or disparity between trial and real-world conditions. CONCLUSIONS: PROs are usually assessed as secondary outcomes in glycaemic technology studies. Hypoglycaemia-specific and diabetes-specific, but not generic, PROs show the benefits of glycaemic technologies, and deserve a more central role in future studies as well as routine clinical care.