Real-time continuous glucose monitoring in type 1 diabetes: a qualitative framework analysis of patient narratives

Practical considerations for continuous glucose monitoring in elite athletes with type 1 diabetes mellitus: A narrative review

Type 1 diabetes mellitus (T1DM) refers to a metabolic condition where a lack of insulin impairs the usual homeostatic mechanisms to control blood glucose levels. Historically, participation in competitive sport has posed a challenge for those with T1DM, where the dynamic changes in blood glucose during exercise can result in dangerously high (hyperglycaemia) or low blood glucoses (hypoglycaemia) levels. Over the last decade, research and technological development has enhanced the methods of monitoring and managing blood glucose levels, thus reducing the chances of experiencing hyper- or hypoglycaemia during exercise. The introduction of continuous glucose monitoring (CGM) systems means that glucose can be monitored conveniently, without the need for frequent fingerpick glucose checks. CGM devices include a fine sensor inserted under the skin, measuring levels of glucose in the interstitial fluid. Readings can be synchronized to a reader or mobile phone app as often as every 1-5 min. Use of CGM devices is associated with lower HbA1c and a reduction in hypoglycaemic events, promoting overall health and athletic performance. However, there are limitations to CGM, which must be considered when being used by an athlete with T1DM. These limitations can be addressed by individualized education plans, using protective equipment to prevent sensor dislodgement, as well as further research aiming to: (i) account for disparities between CGM and true blood glucose levels during vigorous exercise; (ii) investigate the effects of temperature and altitude on CGM accuracy, and (iii) explore of the sociological impact of CGM use amongst sportspeople without diabetes on those with T1DM.

Associations between use of diabetes technology and diabetes distress: a Danish cross-sectional survey of adults with type 1 diabetes

INTRODUCTION

The study aimed to investigate independent and combined associations between insulin delivery method (insulin pump therapy (IPT) vs multiple daily injections (MDI)), glucose monitoring method (intermittently scanned continuous glucose monitoring (isCGM) and real-time continuous glucose monitoring (rtCGM) vs blood glucose metre (BGM)) and diabetes distress (DD) in adults with type 1 diabetes (T1D).

RESEARCH DESIGN AND METHODS

We combined data from two Danish questionnaire-based surveys, the Steno Tech Survey (n=1591) and the Type 1 Diabetes Distress Scale (T1-DDS) validation survey (n=4205), in which individuals aged ≥18 years with T1D were invited to participate. The 28-item T1-DDS was used to measure DD and DD scores were categorised as little or no distress (score <2.0), moderate distress (2.0-2.9) and high distress (score ≥3.0). Associations between insulin delivery, glucose monitoring methods and DD were assessed using linear regression.

RESULTS

Among 2068 adults with T1D who responded to one of the surveys, the use of IPT was associated with a lower total T1-DDS score (-0.09, 95% CI 0.16 to -0.03) compared with MDI and adjusted for glucose monitoring method. The use of CGM was associated with a higher total T1-DDS score (0.11, 95% CI 0.05 to 0.18) compared with BGM and adjusted for the insulin delivery method. IPT was still associated with a lower T1-DDS score, regardless of being combined with BGM (-0.17, 95% CI -0.28 to -0.06) or CGM (-0.13, 95% CI -0.21 to -0.05), compared with MDI with CGM. No association was found between the type of CGM (isCGM vs rtCGM) and DD among either IPT or MDI users when restricting analysis to individuals using CGM.

CONCLUSIONS

Among Danish adults with T1D, the use of IPT was associated with lower levels of DD, while CGM use was associated with higher levels of DD. DD should be addressed when introducing people with T1D to diabetes technology, CGM in particular.

TRIAL REGISTRATION NUMBER

NCT04311164 (Results).

Identification of individuals with diabetes who are eligible for continuous glucose monitoring forecasting

BACKGROUND AND OBJECTIVES

Predicting glucose levels in individuals with diabetes offers potential improvements in glucose control. However, not all patients exhibit predictable glucose dynamics, which may lead to ineffective treatment strategies. We sought to investigate the efficacy of a 7-day blinded screening test in identifying diabetes patients suitable for glucose forecasting.

METHODS

Participants with type 1 diabetes (T1D) were stratified into high and low initial error groups based on screening results (eligible and non-eligible). Long-term glucose predictions (30/60 min lead time) were evaluated among 334 individuals who underwent continuous glucose monitoring (CGM) over a total of 64,460,560 min.

RESULTS

A strong correlation was observed between screening accuracy and long-term mean absolute relative difference (MARD) (0.661-0.736; p < 0.001), suggesting significant predictability between screening and long-term errors. Group analysis revealed a notable reduction in predictions falling within zone D of the Clark Error Grid by a factor of three and in zone C by a factor of two.

CONCLUSIONS

The identification of eligible patients for glucose prediction through screening represents a practical and effective strategy. Implementation of this approach could lead to a decrease in adverse glucose predictions.

Intermittently scanned continuous glucose monitoring and hypoglycaemia awareness in drivers with diabetes: Insights from the Association of British Clinical Diabetologists Nationwide audit

AIM

Frequent hypoglycaemia results in disruption to usual hypoglycaemic autonomic responses leading to impaired awareness of hypoglycaemia, which is associated with an increased risk of severe hypoglycaemia requiring third-party assistance (SH). The UK Driving and Vehicle Licensing Agency (DVLA) does not permit car driving if they have either a complete loss of hypoglycaemia awareness or more than one SH event a year.

METHODS

The FreeStyle Libre (FSL) Association of British Clinical Diabetologists (ABCD) Nationwide Audit consists of data collected by clinicians during routine clinical work, submitted into a secure web-based tool held within the National Health Service (NHS) N3 network. Analysis of paired baseline and follow-up data for people with type 1 diabetes who also held a driving licence was undertaken.

RESULTS

The study consisted of 6304 people who had data recorded about driving status from 102 UK specialist diabetes centres, of which 4218 held a driving licence: 4178 a group 1, standard licence, 33 a group 2, large lorries and buses, seven a taxi licence; 1819 did not drive. Paired baseline and follow-up data were available for a sub-cohort of 1606/4218. At a mean follow-up of 6.9 months [95% CI (6.8, 7.1)], the Gold score had improved (2.3 ± 1.5 vs. 2.0 ± 1.3 p < .001), and the number of people who experienced an SH episode was also significantly lower (12.1% vs. 2.7%, p < .001).

CONCLUSION

This study suggests that intermittently scanned continuous glucose monitoring may improve impaired awareness of hypoglycaemia and reduce the number of people with type 1 diabetes with a driving licence experiencing a severe hypoglycaemic episode.

Latent Autoimmune Diabetes in Adults and a Continuous Glucose Monitoring Device: An Unfortunate Outcome

Latent autoimmune diabetes in adults (LADA) is a slow-progressing form of autoimmune diabetes. A 44-year-old man with a four-year history of diabetes mellitus (DM), obsessive-compulsive disorder (OCD), and panic disorder was admitted to the hospital for diabetic ketoacidosis. LADA was confirmed with positive GAD-65 antibody. His occupation involved random working days with several weeks off in between projects. During workdays, his insulin dosage required frequent adjustments due to lower blood glucose (BG) readings. Owing to the variable work schedule and constantly changing insulin needs, he was recommended a continuous glucose monitoring (CGM) device. Few days after starting on the CGM device, he was seen in the emergency department because of elevated BG. His home BG readings ranged from 80 to 408 mg/dL. He was getting frustrated with the fluctuating BG readings. At home, he remained agitated and endlessly checked his CGM device. After discharge, he would repeatedly call the endocrinology office with his BG readings with the insulin dose being adjusted accordingly. Few weeks later, the office received a call from his wife informing us that the patient had shot himself in the head. According to his wife, lately he had trouble sleeping, was very anxious, and often had panic attacks. He seemed to struggle with ever-fluctuating BG readings and was obsessed with incessantly changing numbers on his CGM device. Patients with Type 1 DM are at increased risk of mental health disorders and suicide forms a sizeable proportion of deaths in these patients. This case highlights the importance of mental health, especially underlying OCD as a prognostic factor in the management of diabetes with CGM devices.

Personalized Digital Health Information to Substantiate Human-Delivered Exercise Support for Adults With Type 1 Diabetes

OBJECTIVE

Pilot-test personalized digital health information to substantiate human-delivered exercise support for adults with type 1 diabetes (T1D).

DESIGN

Single-group, 2-week baseline observation, then 10-week intervention with follow-up observation.

SETTING

Community-based sample participating remotely with physician oversight.

PARTICIPANTS

Volunteers aged 18 to 65 years with T1D screened for medical readiness for exercise intervention offerings. N = 20 enrolled, and N = 17 completed all outcomes with 88% to 91% biosensor adherence.

INTERVENTION

Feedback on personalized data from continuous glucose monitoring (CGM), its intersection with other ecological data sets (exercise, mood, and sleep), and other informational and motivational elements (exercise videos, text-based exercise coach, and self-monitoring diary).

MAIN OUTCOME MEASURES

Feasibility (use metrics and assessment completion), safety (mild and severe hypoglycemia, and diabetic ketoacidosis), acceptability (system usability scale, single items, and interview themes), and standard clinical and psychosocial assessments.

RESULTS

Participants increased exercise from a median of 0 (Interquartile range, 0-21) to 64 (20-129) minutes per week ( P = 0.001, d = 0.71) with no severe hypoglycemia or ketoacidosis. Body mass index increased (29.5 ± 5.1 to 29.8 ± 5.4 kg/m 2 , P = 0.02, d = 0.57). Highest satisfaction ratings were for CGM use (89%) and data on exercise and its intersection with CGM and sleep (94%). Satisfaction was primarily because of improved exercise management behavioral skills, although derived motivation was transient.

CONCLUSIONS

The intervention was feasible, safe, and acceptable. However, there is a need for more intensive, sustained support. Future interventions should perform analytics upon the digital health information and molecular biomarkers (eg, genomics) to make exercise support tools that are more personalized, automated, and intensive than our present offerings.

Patient-Reported Usefulness and Challenges in Using Hypoglycemia-Informing Features of Continuous Glucose Monitors to Manage Hypoglycemia

PURPOSE

The purpose of this study series, which involves a questionnaire survey and qualitative interviews, was to (a) evaluate patient-reported usefulness of continuous glucose monitor (CGM) hypoglycemia-informing features and (b) identify challenges in using these features (ie, CGM glucose numbers, trend arrows, trend graphs, and hypoglycemia alarms) during hypoglycemia in adults with type 1 diabetes (T1DM).

METHODS

A cross-sectional questionnaire survey study was conducted with adults who have T1DM and were using CGMs to assess the perceived usefulness of hypoglycemia-informing features. A semistructured interview study with T1DM CGM-using adults and inductive thematic analysis were subsequently performed to identify challenges in using CGM hypoglycemia-informing features to manage hypoglycemia.

RESULTS

In the survey study (N = 252), the CGM glucose numbers, trend arrows, trend graphs, and hypoglycemia alarms were found to be very useful by 79%, 70%, 43%, and 64% of participants, respectively. Several challenges in using these features to manage hypoglycemia were identified in the qualitative study (N = 23): (1) hypoglycemia information not fully reliable,; (2) unpredictability of future blood glucose levels, (3) lack of awareness about how information can be used, and (4) disruptions associated with information.

CONCLUSIONS

Although the majority of T1DM adults found their CGMs' hypoglycemia-informing features helpful, challenges in optimally using these features persisted. Targeted knowledge and behavioral interventions could improve CGM use to reduce hypoglycemia.

'You have to use everything and come to some equilibrium': a qualitative study on hypoglycemia self-management in users of continuous glucose monitor with diverse hypoglycemia experiences

INTRODUCTION

Although continuous glucose monitoring systems (CGMs) can help reduce hypoglycemia, about one-quarter of people with type 1 diabetes (T1D) who use CGMs still either spend at least 1% of the time with dangerously low blood glucose or develop severe hypoglycemia. This study explored experiences around hypoglycemia self-management in people who are living with T1D and using CGMs to identify factors contributing to hypoglycemia development.

RESEARCH DESIGN AND METHODS

Purposive sampling and semistructured interviews with 28 respondents with T1D and using CGMs were conducted to explore experiences around hypoglycemic episodes and hypoglycemia self-management during CGM use. Open coding and thematic analysis were employed to identify emergent themes related to hypoglycemia experiences.

RESULTS

About one-third of respondents each respectively spent 0%, 0.1%-0.9% and ≥1% of time in level 2 hypoglycemia; 39% had impaired awareness of hypoglycemia and 32% had severe hypoglycemia in the past 6 months. Four themes were generated: (1) prioritizing symptoms over CGM data (subthemes: hypoglycemia symptoms for confirming hypoglycemia and prompting management actions; minimal management actions without hypoglycemia symptoms); (2) distraction from the demands of daily life; (3) concerns about hypoglycemia management choices (subthemes: fear of rebound hyperglycemia; other health consequences related to sugary food consumption; aversions to treatment foods and treatment food consumption); and (4) social influences on management choices (subthemes: positively perceived social support and inclusion; unwanted attention to oneself or concerns about inconveniencing others; social stigma and criticism related to hypoglycemia and CGM use).

CONCLUSIONS

Despite using CGMs, people with T1D can face a complex biopsychosocial process of managing hypoglycemia. Interventions for addressing psychosocial and behavioral barriers are needed to improve hypoglycemia self-management in those who continue to face challenges in minimizing hypoglycemia while using CGMs.

Institutional role conflict in the digital age: The case of diabetes management at school

As the prevalence of pediatric diabetes grows and new technologies to manage diabetes emerge, there is increasing concern about consistency in health management across institutional settings, particularly in schools. While much is known about barriers at school, there are still gaps in understanding the institutional dynamics that shape health management in this setting. Using focus groups with 19 youth with type 1 diabetes (T1D) and applying institutional role theory, we find healthcare providers' recommendations conflict with school rules and norms, making it difficult to enact both the "sick role" and the "student role." These conflicts elicit negative responses from teachers and peers and stigmatize youth with T1D in school. Caregiver involvement often heightens rather than ameliorates conflict and teachers do not intervene in effective ways. Ultimately, youth must manage conflicts and stigma. By reframing challenges in health management as institutional role conflict, this paper contributes to sociological research by highlighting the importance of institutional roles, especially beyond healthcare. More broadly, the study suggests health research and policy should investigate how to better align institutional roles-rather than relying on youth and their families-to support health management of chronic illnesses across institutional settings.

The impact of fear of hypoglycaemia on sleep in adolescents with type 1 diabetes

AIMS

Fear of hypoglycaemia (FOH) can contribute to impaired sleep for adults with type 1 diabetes (T1D) and parents of children with T1D, although it is unknown how FOH may affect sleep for adolescents with T1D. This study examines the relationship between adolescent FOH and sleep and assessed the influences of continuous glucose monitor (CGM) and insulin pump use.

METHODS

Adolescents ages 14-18 years with T1D completed questionnaires evaluating FOH (Child Hypoglycemia Fear Survey) and sleep (Pittsburgh Sleep Quality Index, PSQI). Analyses included linear and logistic regression, t-tests and Fisher's exact tests.

RESULTS

Participants included 95 adolescents (52 female) with a median (IQR) age of 16.5 (15.3-17.7) years and a T1D duration of 5.7 (2.5-9.6) years. Analyses showed increased FOH-Worry subscale scores were associated with reduced sleep duration (β = -0.03, p = 0.042, adjusting for BMI z-score, race and ethnicity) and increased sleep disturbances (OR = 1.1, p = 0.038, adjusting for race and ethnicity). Frequent CGM users had longer sleep duration (average 7.5 h) compared with infrequent or non-CGM users (average = 6.8 h; p = 0.029), and pump users had overall improved sleep health as determined by PSQI score (p = 0.019). Technology use did not have significant interactions in the relationships between FOH and sleep duration or sleep disturbances.

CONCLUSIONS

Worrying about hypoglycaemia was associated with impaired sleep for adolescents with T1D. Diabetes technology users have some sleep improvements, but CGM and pump use do little to alter the relationship between FOH and sleep outcomes.

Use of Continuous Glucose Monitors to Manage Type 1 Diabetes Mellitus: Progress, Challenges, and Recommendations

Type 1 diabetes (T1D) management has been revolutionized with the development and routine utilization of continuous glucose monitoring (CGM). CGM technology has allowed for the ability to track dynamic glycemic fluctuations and trends over time allowing for optimization of medical therapy and the prevention of dangerous hypoglycemic events. This review details currently-available real-time and intermittently-scanned CGM devices, clinical benefits, and challenges of CGM use, and current guidelines supporting its use in the clinical care of patients with T1D. We additionally describe future issues that will need to be addressed as CGM technology continues to evolve.

'Didn't See the Need': Misperceptions about glucagon from the perspectives of people with diabetes and their caregivers

AIMS

Severe hypoglycaemia among people with diabetes who use insulin can be a life-threatening complication if left untreated. Although glucagon has been approved for treatment of hypoglycaemia since the 1960s, it has been underutilized. We aimed to understand the perceptions of people with diabetes and their caregivers about glucagon.

METHODS

We conducted in-depth, one-on-one telephone interviews with people with diabetes and their caregivers in the United States. The interviews included questions around general awareness of glucagon, reasons for owning or not owning glucagon, and suggestions for improving understanding of glucagon as treatment for severe hypoglycaemia. Initial synopsis and inductive codebook schema were used to analyse the responses by two independent researchers. Themes were developed from the codes, and codes were re-mapped back to the themes.

RESULTS

There were 60 dyads of people with diabetes and their caregivers (N = 120). Four themes developed from the interviews: (1) for most participants, the stated reasons for not owning or renewing a prescription for glucagon included unawareness of the medication, its advantages and its value; (2) misperceptions about glucagon occurred frequently; (3) caregivers often lacked confidence in administering reconstituted injectable glucagon; and (4) education and training from healthcare providers about glucagon would be welcomed.

CONCLUSIONS

This study emphasizes the need for healthcare providers to discuss hypoglycaemia prevention and events at each clinical visit, including the use of glucagon in the case of severe hypoglycaemia. Healthcare providers are encouraged to assess the knowledge of people with diabetes and their caregivers regarding treatment and prevention of hypoglycaemia.

Management of Individuals With Diabetes at High Risk for Hypoglycemia: An Endocrine Society Clinical Practice Guideline

CONTEXT

Hypoglycemia in people with diabetes is common, especially in those taking medications such as insulin and sulfonylureas (SU) that place them at higher risk. Hypoglycemia is associated with distress in those with diabetes and their families, medication nonadherence, and disruption of life and work, and it leads to costly emergency department visits and hospitalizations, morbidity, and mortality.

OBJECTIVE

To review and update the diabetes-specific parts of the 2009 Evaluation and Management of Adult Hypoglycemic Disorders: Endocrine Society Clinical Practice Guideline and to address developing issues surrounding hypoglycemia in both adults and children living with diabetes. The overriding objectives are to reduce and prevent hypoglycemia.

METHODS

A multidisciplinary panel of clinician experts, together with a patient representative, and methodologists with expertise in evidence synthesis and guideline development, identified and prioritized 10 clinical questions related to hypoglycemia in people living with diabetes. Systematic reviews were conducted to address all the questions. The Grading of Recommendations Assessment, Development and Evaluation (GRADE) methodology was used to assess the certainty of evidence and make recommendations.

RESULTS

The panel agreed on 10 questions specific to hypoglycemia risk and prevention in people with diabetes for which 10 recommendations were made. The guideline includes conditional recommendations for use of real-time continuous glucose monitoring (CGM) and algorithm-driven insulin pumps in people with type 1 diabetes (T1D), use of CGM for outpatients with type 2 diabetes at high risk for hypoglycemia, use of long-acting and rapid-acting insulin analogs, and initiation of and continuation of CGM for select inpatient populations at high risk for hypoglycemia. Strong recommendations were made for structured diabetes education programs for those at high risk for hypoglycemia, use of glucagon preparations that do not require reconstitution vs those that do for managing severe outpatient hypoglycemia for adults and children, use of real-time CGM for individuals with T1D receiving multiple daily injections, and the use of inpatient glycemic management programs leveraging electronic health record data to reduce the risk of hypoglycemia.

CONCLUSION

The recommendations are based on the consideration of critical outcomes as well as implementation factors such as feasibility and values and preferences of people with diabetes. These recommendations can be used to inform clinical practice and health care system improvement for this important complication for people living with diabetes.

Cost-Effectiveness of a Real-Time Continuous Glucose Monitoring System Versus Self-Monitoring of Blood Glucose in People with Type 2 Diabetes on Insulin Therapy in the UK

INTRODUCTION

Real-time continuous glucose monitoring (rt-CGM) involves the measurement and display of glucose concentrations, potentially improving glucose control among insulin-treated patients with type 2 diabetes (T2D). The present analysis aimed to conduct a cost-effectiveness analysis of rt-CGM versus self-monitoring of blood glucose (SMBG) based on a USA retrospective cohort study in insulin-treated people with T2D adapted to the UK.

METHODS

Long-term costs and clinical outcomes were estimated using the CORE Diabetes Model, with clinical input data sourced from a retrospective cohort study. Patients were assumed to have a baseline glycated hemoglobin (HbA1c) of 8.3%. Patients using rt-CGM were assumed to have a 0.56% reduction in HbA1c based on the mean difference between groups after 12 months of follow-up. Reduced fingerstick testing when using rt-CGM was associated with a quality of life (QoL) benefit. The analysis was performed over a lifetime time horizon from a National Health Service (NHS) perspective, including only direct costs from published data. Future costs and clinical outcomes were discounted at 3.5% per annum. Extensive sensitivity analyses were performed.

RESULTS

Projections showed that rt-CGM was associated with increased quality-adjusted life expectancy of 0.731 quality-adjusted life years (QALYs) and increased mean total lifetime costs of Great British pounds (GBP) 2694, and an incremental cost-effectiveness ratio of GBP 3684 per QALY compared with SMBG. Key drivers of outcomes included HbA1c reduction and reduced fingerstick testing QoL benefit.

CONCLUSIONS

Over patient lifetimes, rt-CGM was associated with improved clinical outcomes and is highly likely to be cost effective versus SMBG in people with T2D on insulin therapy in the UK.

The role of machine learning in developing non-magnetic resonance imaging based biomarkers for multiple sclerosis: a systematic review

BACKGROUND

Multiple sclerosis (MS) is a neurological condition whose symptoms, severity, and progression over time vary enormously among individuals. Ideally, each person living with MS should be provided with an accurate prognosis at the time of diagnosis, precision in initial and subsequent treatment decisions, and improved timeliness in detecting the need to reassess treatment regimens. To manage these three components, discovering an accurate, objective measure of overall disease severity is essential. Machine learning (ML) algorithms can contribute to finding such a clinically useful biomarker of MS through their ability to search and analyze datasets about potential biomarkers at scale. Our aim was to conduct a systematic review to determine how, and in what way, ML has been applied to the study of MS biomarkers on data from sources other than magnetic resonance imaging.

METHODS

Systematic searches through eight databases were conducted for literature published in 2014-2020 on MS and specified ML algorithms.

RESULTS

Of the 1, 052 returned papers, 66 met the inclusion criteria. All included papers addressed developing classifiers for MS identification or measuring its progression, typically, using hold-out evaluation on subsets of fewer than 200 participants with MS. These classifiers focused on biomarkers of MS, ranging from those derived from omics and phenotypical data (34.5% clinical, 33.3% biological, 23.0% physiological, and 9.2% drug response). Algorithmic choices were dependent on both the amount of data available for supervised ML (91.5%; 49.2% classification and 42.3% regression) and the requirement to be able to justify the resulting decision-making principles in healthcare settings. Therefore, algorithms based on decision trees and support vector machines were commonly used, and the maximum average performance of 89.9% AUC was found in random forests comparing with other ML algorithms.

CONCLUSIONS

ML is applicable to determining how candidate biomarkers perform in the assessment of disease severity. However, applying ML research to develop decision aids to help clinicians optimize treatment strategies and analyze treatment responses in individual patients calls for creating appropriate data resources and shared experimental protocols. They should target proceeding from segregated classification of signals or natural language to both holistic analyses across data modalities and clinically-meaningful differentiation of disease.

RESCUE Collaborative Community: A New Initiative to Reduce Rates of Intended Self-Injury and Suicide Among People with Diabetes

Suicide is the leading cause of death among young people aged 20-34 and the second leading cause of death in adolescents aged 15-19. In the general population, among those attempting suicide 7% die by suicide and 23% reattempt with nonfatal consequences. Depression, closely associated with suicidal ideation, is diagnosed in 7%-25% of the United States and European populations. Individuals with type 1 diabetes (T1D) have a two to three times higher prevalence of depression and approximately double the rate of suicide compared to the general population. Rates of self-harm and suicide among people with diabetes are likely to be considerably underestimated due to poor identification. This information is critical to create interventions to decrease rates of suicide and self-harm. This is particularly important in the setting of advanced technologies in T1D, which offer both easier methods of self-injurious behaviors through insulin misuse and can act as identification tools to identify risk insulin behaviors and provide opportunities to develop interventions and prevention efforts in those with depression and suicidal ideation/behavior/acts. To this end, our goal was to identify any literature on coding diabetes correctly in individuals who die by suicide or engage in intentional self-harm. Furthermore, to describe the Reducing Suicide Rates Among Individuals with Diabetes (RESCUE) Collaborative Community and its goals of using multiple approaches to reduce rates of intended self-injury and suicide among people with diabetes. These include detection of cases, understanding support needs, identification of risk factors, and early intervention for individuals at risk.

Impact of intermittently scanned continuous glucose monitoring with alarms on sleep and metabolic outcomes in children and adolescents with type 1 diabetes

AIMS

Data about sleep quality and quantity are not available in patients with type 1 diabetes (T1D) using intermittently scanned continuous glucose monitoring (isCGM). We questioned whether the isCGM with alarms could fragment sleep in patients and parents, compared to isCGM without alarms.

METHODS

A prospective, observational study including 47 child-adolescents with T1D who had experience with isCGM without alarms (Freestyle Libre 1-FSL1). They were asked to wear the isCGM with alarms (Freestyle Libre 2-FSL2) for 14 days. Patients enrolled and their caregiver (s), during a 14 day period with FSL1 and the following 14 days with FSL2, completed psychosocial and sleep-related questionnaires. Furthermore they wore an actigraph that was downloaded to a web platform and processed by the validated and certified algorithm "Dormi^®."

RESULTS

By the switch to the alarmed FSL2 we found about a 5% increase in Time In Range (from 62.5 to 67.8%), a reduction in time spent in hypoglycemia, number of weekly hypoglycemic events, and coefficient of variation. We did not find significant differences in sleep parameters in patients and their parents; therefore, alarms did not worsen the duration and quality of sleep. A significant improvement in the Quality of Life was perceived by parents using FSL2.

CONCLUSIONS

Introduction of alarms in isCGM systems gives, in the short term, an improvement in metabolic control in terms of time in range and reduction in hypoglycemia, without worsening duration and quality of sleep, measured by actigraphy, in children-adolescent and their parents.

Friend or Foe: a Narrative Review of the Impact of Diabetes Technology on Sleep

PURPOSE OF REVIEW

The purpose of this review is to present a review of sleep science, the relationship between sleep and type 1 diabetes, and highlight the current literature on sleep outcomes in adult and pediatric diabetes technology research.

RECENT FINDINGS

Sleep quality is associated with glycemic outcomes, diabetes self-management, and mental health in people with type 1 diabetes. Diabetes technologies, including insulin pumps, continuous glucose monitors, and hybrid closed-loop systems improve glycemic outcomes. However, many people find this technology challenging for a variety of reasons, including increased burden and frequent alarms, especially during the night. The impact of different devices on sleep quality and quantity has been mixed. The newest technology, the hybrid closed-loop systems, offers the best opportunity for nocturnal glycemic regulation and has improved patient and family perspectives on sleep quality. However, objective sleep assessment has not shown significant improvement on sleep duration. Sleep quality and quantity in people with type 1 diabetes are widely recognized as an important component of health care, and the literature regarding the impact of diabetes devices on sleep is increasing. However, sleep disruptions are common and a barrier to device use. Despite finding minimal changes to sleep duration with device use, subjective accounts of sleep quality are overall positive, especially in those using hybrid closed-loop systems. Sleep quantity and quality are important outcomes to consider as diabetes technology continues to evolve.

Improvements in Parental Sleep, Fear of Hypoglycemia, and Diabetes Distress With Use of an Advanced Hybrid Closed-Loop System

OBJECTIVE

Parental sleep quality may contribute to glycemic control in youth with type 1 diabetes. In this article we present sleep analysis from a multicenter, randomized trial of children ages 6-13 years with type 1 diabetes evaluating the Tandem Control-IQ (CIQ) hybrid closed-loop (HCL) system.

RESEARCH DESIGN AND METHODS

Pittsburgh Sleep Quality Index (PSQI) scores were assessed at baseline to identify parents as "poor" sleepers (PSQI >5). Glycemic and psycho-behavioral outcomes before and after CIQ use were analyzed in poor sleepers (n = 49) and their children.

RESULTS

Nocturnal time in range (P < 0.001) and time hyperglycemic (P < 0.001), Hypoglycemia Fear Survey for Parents score (P < 0.001), Problem Areas in Diabetes scale score (P < 0.001), PSQI score (P < 0.001), and Hypoglycemia Fear Survey for Children score (P = 0.025) significantly improved. Of poor sleepers, 27 became good sleepers (PSQI score <5).

CONCLUSIONS

Use of CIQ in youth with type 1 diabetes ages 6-13 years significantly improved sleep and psychosocial measures in parent poor sleepers, coinciding with improvements in child nocturnal glycemia, highlighting the relationship between HCL systems and parent sleep quality.

Sex differences in cardiovascular risk factors of children and adolescents with type 1 diabetes mellitus: A role for diet?

BACKGROUND AND AIMS

Cardiovascular disease is the leading cause of morbidity and mortality in individuals with type 1 diabetes mellitus (T1DM). Cardiovascular risk is higher in women with diabetes than in men. With this study, we wanted to determine whether female children and adolescents with T1DM are more prone to cardiovascular risk factors (CVRFs) and an atherogenic diet than boys.

METHODS AND RESULTS

For this cross-sectional study, anthropometric, clinical, biochemical, and dietary intake data of 314 children with diabetes (3-18 years; 178 boys) were analysed according to age and sex. Linear and binary logistic regression was performed to test independent associations between sex, dietary intake, and CVRFs. Low-density lipoprotein -cholesterol (LDL-c), triglyceride (TG), fibre, monounsaturated fatty acid levels (all p < 0.01), and lipid (p = 0.022) intake were higher in the girls than in the boys. Multiple regression analysis showed that LDL was associated with sex, glycated haemoglobin (HbA1c), and lipid intake percentage (R (Kannel, 1979) [2] = 0.130; p = 0.0004) independent of age, pubertal stage, body mass index (BMI), duration of diabetes, energy, and fibre intake. Logistic regression analysis showed that high LDL-c levels were present more often in girls [odds ratio, OR; confidence interval, CI = 2.569 (1.178-5.604); p = 0.018] who had a higher dietary lipid intake percentage [OR (CI) = 1.089 (1.011-1.173); p = 0.025].

CONCLUSIONS

Girls with diabetes have higher LDL-c levels associated with higher dietary lipid intake. Our findings suggest that young people with diabetes, especially girls, may benefit from early dietary interventions to reduce their cardiovascular risk.

Development and Psychometric Assessment of a Manufacturer Independent Knowledge Questionnaire on Real Time Continuous Glucose Monitoring for insulin-treated People with Diabetes

Background To benefit from real-time continuous glucose monitoring (rtCGM), users need practical skills and in-depth knowledge to analyze the glucose data appropriately and adapt insulin therapy accordingly. To assess the user’s knowledge about rtCGM, a psychometric knowledge test was developed and evaluated.

Method Experts on the use of rtCGM systems defined central knowledge contents in a Delphi process and developed a knowledge test comprising 40 multiple-choice items. For test-statistical review, people with insulin-treated diabetes and members of diabetes teams answered the knowledge test.

Results The 122 diabetes team members (age 46 (11) years; mean (SD)) and the 111 people with insulin-treated diabetes (age 42 (14) years, diabetes duration 20 (14) years, users of insulin pumps 64 %, previous usage of rtCGM 38 %, HbA1c 8.0 % [95 % CI 7.7–8.3] (64 mmol/mol [60–67]) had different levels of experiences using rtCGM systems. The internal consistency (Cronbach’s alpha) of the knowledge test was 0.92 for the whole sample, for people with diabetes 0.94, and for diabetes team members 0.84. Item difficulty ranged between 0.12 and 0.88 in people with diabetes and between 0.27 and 0.97 among diabetes team members. On average, people with diabetes answered 24.1 (9.9) items correctly, diabetes team members 29.2 (5.2) (p < 0.001); people with diabetes and previous rtCGM-experience had a higher knowledge compared to people without previous experience (29.2 (6.2) vs. 21.0 (10.4) (p = 0.001)). The quality of glucose control (measured by HbA1c) of the people with diabetes was significantly associated with the sum-score of the questionnaire (rho = –0.48, p < 0.001).

Conclusion The “rtCGM-Profi-Check” knowledge test provides high internal consistency, high selectivity, and content validity. It is suitable for objective, reliable, and valid assessment of the indispensable knowledge of people with diabetes to use different rtCGM systems successfully. The questionnaire is manufacturer-independent and is suitable to evaluate the needs and success of rtCGM education among persons with diabetes.

Beliefs Around Hypoglycemia and Their Impacts on Hypoglycemia Outcomes in Individuals with Type 1 Diabetes and High Risks for Hypoglycemia Despite Using Advanced Diabetes Technologies

OBJECTIVE

This study aimed to 1) identify the frequency of severe and level 2 hypoglycemia presenting in individuals with type 1 diabetes using continuous glucose monitoring systems (CGMs), including those with concomitant closed-loop insulin pumps, in a clinical practice setting and 2) evaluate the impact of beliefs around hypoglycemia in the development of severe and level 2 hypoglycemia in this population.

RESEARCH DESIGN AND METHODS

A cross-sectional survey study in adults with type 1 diabetes using CGMs >6 months was conducted at a large tertiary academic center. Participant demographics, 6-month severe hypoglycemia history, hypoglycemia beliefs (with the Attitude to Awareness of Hypoglycemia questionnaire), and 4-week CGM glucose data were collected. Statistical analysis was performed to assess the presentation of severe and level 2 hypoglycemia and identify associated risk factors.

RESULTS

A total of 289 participants were recruited (including 257 participants with CGM data within the last 3 months). Of these, 25.6% experienced at least one severe hypoglycemic episode in the last 6 months, and 13.6% presented with ≥1% of time in level 2 hypoglycemia on CGMs. Reporting beliefs about prioritizing hyperglycemia avoidance was associated with severe hypoglycemia development (P < 0.001), while having beliefs of minimal concerns for hypoglycemia was associated with spending ≥1% of time in level 2 hypoglycemia (P = 0.038).

CONCLUSIONS

Despite the use of advanced diabetes technologies, severe and level 2 hypoglycemia continues to occur in individuals with type 1 diabetes and high hypoglycemia risks. Human factors, including beliefs around hypoglycemia, may continue to impact the effectiveness of glucose self-management.

Intermittent Scanning Glucose Monitoring or Predicted Low Suspend Pump Treatment: Does It Impact Time in Glucose Target and Treatment Preference? The QUEST Randomized Crossover Study

OBJECTIVE

To compare glycemic control and treatment preference in children with type 1 diabetes (T1D) using sensor augmented pump (SAP) with predictive low glucose suspend (SmartGuard^®) or pump with independent intermittent scanning continuous glucose monitoring (iscCGM, Freestyle libre ^®).

METHODS

In this open label, cross-over study, children 6 to 14 years of age, treated with insulin pump for at least 6 months, were randomized to insulin pump and iscCGM (A) or SAP with SmartGuard^® (B) for 5 weeks followed by 5 additional weeks. The difference in percentages of time in glucose target (TIT), (3.9 - 8.0 mmol/l), <3 mmol/l, > 8 and 10 mmol/l, were analyzed using linear mixed models during the final week of each arm and were measured by blinded CGM (IPro2^®).

RESULTS

31 children (15 girls) finished the study. With sensor compliance > 60%, no difference in TIT was found, TIT: A 37.86%; 95% CI [33.21; 42.51]; B 37.20%; 95% CI [32.59; 41.82]; < 3 mmol/l A 2.27% 95% CI [0.71; 3.84] B 1.42% 95% CI [-0.13; 2.97]; > 8 mmol/l A 0.60% 95% CI [0.56, 0.67]; B 0.63% [0.56; 0.70]. One year after the study all participants were on CGM compared to 80.7% prior to the study, with a shift of 13/25 participants from iscCGM to SAP.

CONCLUSIONS

In this study, no significant difference in glycemic control was found whether treated with SAP (SmartGuard^®) or pump with iscCGM. The decision of all families to continue with CGM after the study suggests a positive impact, with preference for SmartGuard^®.

CLINICAL TRIAL REGISTRATION

[clinicaltrials.gov], identifier NCT03103867.

Benefits and Drawbacks of Continuous Glucose Monitoring (CGM) Use in Young Children With Type 1 Diabetes: A Qualitative Study From a Country Where the CGM Is Not Reimbursed

Investigating the daily life experiences of patients using Continuous Glucose Monitoring (CGM) can highlight the benefits and barriers in using this system for people with type 1 diabetes (T1D). Semi-structured qualitative interviews were conducted with the caregivers of 10 children aged <9 years, all of whom had been treated for T1D and had used CGM >6 months. These interviews were analyzed using the content analysis approach and from these interviews, four meta themes emerged: metabolic control, barriers to CGM use, CGM use in daily life, and comparison with fingersticks. Families reported the following as benefits of CGM: pain relief, better hypoglycemia and hyperglycemia management, increased control over diet and social life, reduced worries at school and during the night, and convenience in entrusting the child to the care of others. Cost, concerns related to accuracy and reliability of measurements, insertion, adhesion and removal issues all emerged as barriers to CGM use. The most prominent issue was the economic burden of CGM. Families accept this burden, even though it is challenging, as their experiences in using CGM are positive and they feel that CGM is necessary for T1D management.

Clustering of Hypoglycemia Events in Patients With Hyperinsulinism: Extension of the Digital Phenotype Through Retrospective Data Analysis

Background

Hyperinsulinism (HI) due to excess and dysregulated insulin secretion is the most common cause of severe and recurrent hypoglycemia in childhood. High cerebral glucose use in the early hours results in a high risk of hypoglycemia in people with diabetes and carries a significant risk of brain injury. Prevention of hypoglycemia is the cornerstone of the management of HI, but the risk of hypoglycemia at night or the timing of hypoglycemia in children with HI has not been studied; thus, the digital phenotype remains incomplete and management suboptimal.

Objective

This study aims to quantify the timing of hypoglycemia in patients with HI to describe glycemic variability and to extend the digital phenotype. This will facilitate future work using computational modeling to enable behavior change and reduce exposure of patients with HI to injurious hypoglycemic events.

Methods

Patients underwent continuous glucose monitoring (CGM) with a Dexcom G4 or G6 CGM device as part of their clinical assessment for either HI (N=23) or idiopathic ketotic hypoglycemia (IKH; N=24). The CGM data were analyzed for temporal trends. Hypoglycemia was defined as glucose levels <3.5 mmol/L.

Results

A total of 449 hypoglycemic events totaling 15,610 minutes were captured over 237 days from 47 patients (29 males; mean age 70 months, SD 53). The mean length of hypoglycemic events was 35 minutes. There was a clear tendency for hypoglycemia in the early hours (3-7 AM), particularly for patients with HI older than 10 months who experienced hypoglycemia 7.6% (1480/19,370 minutes) of time in this period compared with 2.6% (2405/92,840 minutes) of time outside this period (P<.001). This tendency was less pronounced in patients with HI who were younger than 10 months, patients with a negative genetic test result, and patients with IKH. Despite real-time CGM, there were 42 hypoglycemic events from 13 separate patients with HI lasting >30 minutes.

Conclusions

This is the first study to have taken the first step in extending the digital phenotype of HI by describing the glycemic trends and identifying the timing of hypoglycemia measured by CGM. We have identified the early hours as a time of high hypoglycemia risk for patients with HI and demonstrated that simple provision of CGM data to patients is not sufficient to eliminate hypoglycemia. Future work in HI should concentrate on the early hours as a period of high risk for hypoglycemia and must target personalized hypoglycemia predictions. Focus must move to the human-computer interaction as an aspect of the digital phenotype that is susceptible to change rather than simple mathematical modeling to produce small improvements in hypoglycemia prediction accuracy.

Glucose and pH Dual-Responsive Polymersomes with Multilevel Self-Regulation of Blood Glucose for Insulin Delivery

Smart insulin delivery systems now play essential roles in diabetes treatment, whereas most existing systems suffer from insufficient regulation against blood glucose. Here, a glucose and pH dual-responsive insulin delivery system with multilevel self-regulation of blood glucose was constructed. Photocross-linked dual-responsive polymersomes were prepared by the self-assembly of the diblock copolymer methoxyl poly(ethylene glycol)-b-poly[3-acrylamidophenylboronic acid-co-2-(diethylamino)ethyl methacrylate-co-2-hydroxy-4-(methacryloyloxy)benzophenone] (mPEG-b-P(AAPBA-co-DEAEMA-co-BMA)) synthesized by reversible addition-fragmentation chain transfer polymerization (RAFT), where insulin and glucose oxidase (GOx) were co-encapsulated inside. It is worth noting that the polymersomes with tunable membrane permeability are the first glucose-responsive platform consisting of both PBA and GOx. According to the pH change produced by gluconic acid, the pH-sensitive monomer DEAEMA endowed the polymersome membrane with multilevelly tunable and self-regulative permeability, further controlling the release behavior of insulin. This multilevel tunability was reflected directly in in vitro insulin release tests and was proven by the self-regulation of blood glucose in vivo. Promisingly, the polymersomes have great potential to be applied for the self-regulation of blood glucose in the treatment of diabetes.

The Relationship between Diabetes Family Conflict and Parental Conflict on Problem Recognition in Illness Self-Management among Individuals with Type 1 Diabetes Mellitus

We investigated the relationship between diabetes family conflict and parental conflict on problem recognition in illness self-management (PRISM) among individuals with type 1 diabetes mellitus (T1DM). We employed a descriptive research design. Participants were 243 individuals with T1DM who completed online questionnaires. Data were analyzed with descriptive statistics, correlations, and multiple regression analyses. Results revealed that barriers were felt in all areas (understanding and organizing care, regimen pain and bother, healthcare team interaction, family interaction, and peer interaction), especially peer interaction. The significant influencing factors in the regression model for the total PRISM score of individuals with T1DM were conflict behavior toward mothers (t = 4.44, p < 0.001), diabetes family conflict (t = 5.77, p < 0.001), conflict behavior toward fathers (t = 2.58, p = 0.011), women (t = 2.67, p = 0.008), non-religious (t = -2.33, p = 0.020), and diabetic complications (t = 2.17, p = 0.031). The explanatory power of the constructed regression model for PRISM was 42.0% (F = 30.12, p < 0.001). To promote self-management among individuals with T1DM, the development of interventions that promote improved peer interactions, a family-centered approach, and a program that can minimize conflicts between families and parents are required.

Diabetes technologies - what the general physician needs to know

Technology has revolutionised our society. From the creation of the internet to smartphones and applications (apps), technology has changed how we communicate with each other, undertake regular tasks in our lives and access information at our fingertips. Technology has also transformed how we deliver healthcare with electronic patient records, more sensitive imaging modalities and newer treatments that are less invasive yet more cost-effective. The management of diabetes mellitus is an area that has kept pace with this revolution. With the emergence of a range of widely used technological options that can improve quality of life and metabolic outcomes, general physicians need to be aware of their application in diabetes, as well as how to manage acute diabetes presentations in people using these devices. This article aims to improve the knowledge that general physicians may have with diabetes technologies and guide them on the acute management in people using these technologies.

Patient Controlled, Off-label Use of Continuous Glucose Monitoring: Real-World Medical Costs and Effects of Patient Controlled Sensor Augmented Pump Therapy in Adult Patients Type 1 Diabetes

BACKGROUND

Continuous glucose monitoring (CGM) has shown promise to reduce glycated hemoglobin (HbA1c) levels, but its cost-effectiveness is seen as uncertain by reimbursement agencies. The aim of this study was to explore the impact of real-world, off-label, patient controlled CGM use in combination with continuous subcutaneous insulin infusion (CSII) on costs and effects in patients with type 1 diabetes in a Swedish clinic.

METHODS

A real-world, retrospective study with questionnaire on CGM use by adult patients with type 1 diabetes on CSII (Animas Vibe) were offered sensor augmented pump therapy (SAPT) (Dexcom G4) as part of hospital innovation funding program. Direct medical costs, HbA1c, and complications following switch from CSII with self-monitoring of blood glucose (SMBG) to SAPT were calculated.

RESULTS

Questionnaire data showed that CGM sensors were on average used 92% of the time for 22 days. One hundred and thirty-nine (95%) of 146 respondents used each sensor for longer than one week. Data analysis showed a statistically significant HbA1c decrease of 0.56% (6.1 mmol/mol) after change to SAPT. In patients using the sensor 100%, the decrease was 0.89% (9.8 mmol/mol). The analysis showed that SAPT led to higher costs (5500 USD/year) than CSII + SMBG (3680 USD/year), with incremental costs being 1815 USD per year to achieve an HbA1c decrease of 0.56% (6.1 mmol/mol). The incidence of all complications declined after switch to SAPT.

CONCLUSION

The primary data analysis showed a decrease in HbA1c values following switch to SAPT, corresponding to previous cost-effectiveness studies, but at substantially lower costs due to longer sensor off-label use.

Adoption of Digital Health Technologies in the Practice of Behavioral Health: Qualitative Case Study of Glucose Monitoring Technology

Background

Evaluation of patients with serious mental illness (SMI) relies largely on patient or caregiver self-reported symptoms. New digital technologies are being developed to better quantify the longitudinal symptomology of patients with SMI and facilitate disease management. However, as these new technologies become more widely available, psychiatrists may be uncertain about how to integrate them into daily practice. To better understand how digital tools might be integrated into the treatment of patients with SMI, this study examines a case study of a successful technology adoption by physicians: endocrinologists’ adoption of digital glucometers.

Objective

This study aims to understand the key facilitators of and barriers to clinician and patient adoption of digital glucose monitoring technologies to identify lessons that may be applicable across other chronic diseases, including SMIs.

Methods

We conducted focus groups with practicing endocrinologists from 2 large metropolitan areas using a semistructured discussion guide designed to elicit perspectives of and experiences with technology adoption. The thematic analysis identified barriers to and facilitators of integrating digital glucometers into clinical practice. Participants also provided recommendations for integrating digital health technologies into clinical practice more broadly.

Results

A total of 10 endocrinologists were enrolled: 60% (6/10) male; a mean of 18.4 years in practice (SD 5.6); and 80% (8/10) working in a group practice setting. Participants stated that digital glucometers represented a significant change in the treatment paradigm for diabetes care and facilitated more effective care delivery and patient engagement. Barriers to the adoption of digital glucometers included lack of coverage, provider reimbursement, and data management support, as well as patient heterogeneity. Participant recommendations to increase the use of digital health technologies included expanding reimbursement for clinician time, streamlining data management processes, and customizing the technologies to patient needs.

Conclusions

Digital glucose monitoring technologies have facilitated more effective, individualized care delivery and have improved patient engagement and health outcomes. However, key challenges faced by the endocrinologists included lack of reimbursement for clinician time and nonstandardized data management across devices. Key recommendations that may be relevant for other diseases include improved data analytics to quickly and accurately synthesize data for patient care management, streamlined software, and standardized metrics.

Experiences of Young People and Their Caregivers of Using Technology to Manage Type 1 Diabetes Mellitus: Systematic Literature Review and Narrative Synthesis

BACKGROUND

In the last decade, diabetes management has begun to transition to technology-based care, with young people being the focus of many technological advances. Yet, detailed insights into the experiences of young people and their caregivers of using technology to manage type 1 diabetes mellitus are lacking.

OBJECTIVE

The objective of our study was to describe the breadth of experiences and perspectives on diabetes technology use among children and adolescents with type 1 diabetes mellitus and their caregivers.

METHODS

This systematic literature review used integrated thematic analysis to guide a narrative synthesis of the included studies. We analyzed the perspectives and experiences of young people with type 1 diabetes mellitus and their caregivers reported in qualitative studies, quantitative descriptive studies, and studies with a mixed methods design.

RESULTS

Seventeen articles met the inclusion criteria, and they included studies on insulin pump, glucose sensors, and remote monitoring systems. The following eight themes were derived from the analysis: (1) expectations of the technology prior to use, (2) perceived impact on sleep and overnight experiences, (3) experiences with alarms, (4) impact on independence and relationships, (5) perceived usage impact on blood glucose control, (6) device design and features, (7) financial cost, and (8) user satisfaction. While many advantages of using diabetes technology were reported, several challenges for its use were also reported, such as cost, the size and visibility of devices, and the intrusiveness of alarms, which drew attention to the fact that the user had type 1 diabetes mellitus. Continued use of diabetes technology was underpinned by its benefits outweighing its challenges, especially among younger people.

CONCLUSIONS

Diabetes technologies have improved the quality of life of many young people with type 1 diabetes mellitus and their caregivers. Future design needs to consider the impact of these technologies on relationships between young people and their caregivers, and the impact of device features and characteristics such as size, ease of use, and cost.

Intermittently Scanned and Continuous Glucose Monitor Systems: A Systematic Review on Psychological Outcomes in Pediatric Patients

Aim: To explore the impact of real-time continuous glucose monitoring (rtCGMs) or intermittently scanned/viewed CGM (isCGM) on psychological outcomes in children and caregivers, and to grade the level of evidence. Method: Systematic review of the literature from PubMed, Embase, Cochrane Library, Web of Science, CINAHL, Nursing reference center, Up to date, Google Scholar, and PsycINFO databases. The studies selected used validated questionnaires for investigating the psychological outcomes. We applied GRADE (Grading of Recommendations Assessment, Development and Evaluation) to rank the quality of a body of evidence. Results: A total of 192 studies were identified in the initial search and after the process of evaluation 25 studies were selected as appropriate to be included in this systematic review. We found in moderate quality studies that isCGM in adolescents can improve diabetes related distress, family conflicts, fear of hypoglycemia, and quality of life, while depression, anxiety, and quality of sleep have not yet been evaluated by validated questionnaires. In moderate-high quality studies, rtCGM technology does not impact on diabetes burden, diabetes specific family conflict, and depressive symptoms. The effect on fear of hypoglycemia, sleep quality, and anxiety is still debated and RCT studies powered to find significant results in psychological outcomes are lacking. RtCGM increases satisfaction and quality of life in parents and patients wearing rtCGM. Conclusion: these data present an interesting point to consider when families are deciding whether or not to start CGM use, choosing between rtCGM to reach a tighter metabolic control, or isCGM which allows greater benefits on psychological outcomes.

Improved Real-World Glycemic Control With Continuous Glucose Monitoring System Predictive Alerts

BACKGROUND

Most standalone real-time continuous glucose monitoring (RT-CGM) systems provide predictive low and high sensor glucose (SG) threshold alerts. The durations and risk of low and high SG excursions following Guardian™ Connect CGM system predictive threshold alerts were evaluated.

METHODS

Continuous glucose monitoring system data uploaded between January 2, 2017 and May 22, 2018 by 3133 individuals using multiple daily injections (MDIs) or continuous subcutaneous insulin infusion (CSII) therapy were deidentified and retrospectively analyzed. Glucose excursions were defined as SG values that went beyond a preset low or high SG threshold for ≥15 minutes. For a control group, thresholds were based on the median of the low SG threshold limit (70 mg/dL) and the high SG threshold limit (210 mg/dL) preset by all system users. During periods when alerts were not enabled, timestamps were identified when a predictive alert would have been triggered. The time before low horizon was 17.5 minutes and the time before high horizon was 15 minutes, of all users who enabled alerts. Excursions occurring after a low SG or high SG predictive alert were segmented into prevented, ≤20, 20-60, and >60 minutes.

RESULTS

Excursions were prevented after 59% and 39% of low and high SG predictive alerts, respectively. The risk of a low or high excursion occurring was 1.9 (P < 0.001, 95% CI, 1.88-1.93) and 3.3 (P < 0.001, 95% CI, 3.20-3.30) times greater, respectively, when alerts were not enabled.

CONCLUSIONS

The predictive alerts of the RT-CGM system under study can help individuals living with diabetes prevent some real-world low and high SG excursions. This can be especially important for those unable to reach or maintain glycemic control with basic RT-CGM or CSII therapy.

Acute glycaemic management before, during and after exercise for cardiac rehabilitation participants with diabetes mellitus: a joint statement of the British and Canadian Associations of Cardiovascular Prevention and Rehabilitation, the International Council for Cardiovascular Prevention and Rehabilitation and the British Association of Sport and Exercise Sciences

Type 1 (T1) and type 2 (T2) diabetes mellitus (DM) are significant precursors and comorbidities to cardiovascular disease and prevalence of both types is still rising globally. Currently,~25% of participants (and rising) attending cardiac rehabilitation in Europe, North America and Australia have been reported to have DM (>90% have T2DM). While there is some debate over whether improving glycaemic control in those with heart disease can independently improve future cardiovascular health-related outcomes, for the individual patient whose blood glucose is well controlled, it can aid the exercise programme in being more efficacious. Good glycaemic management not only helps to mitigate the risk of acute glycaemic events during exercising, it also aids in achieving the requisite physiological and psycho-social aims of the exercise component of cardiac rehabilitation (CR). These benefits are strongly associated with effective behaviour change, including increased enjoyment, adherence and self-efficacy. It is known that CR participants with DM have lower uptake and adherence rates compared with those without DM. This expert statement provides CR practitioners with nine recommendations aimed to aid in the participant's improved blood glucose control before, during and after exercise so as to prevent the risk of glycaemic events that could mitigate their beneficial participation.

Effect of postprandial moderate-intensity walking for 15-min on glucose homeostasis in type 2 diabetes mellitus patients

Aim

Diabetes patients usually have a low activity level and complain about lack of time. Therefore, we investigated the effect of short time, postprandial moderate-intensity exercise on glucose homeostasis in type 2 diabetes patients.

Methods

Eleven patients with type 2 diabetes were recruited. Patients spent the first day of the study without exercise (non-exercise day; NE day). In the second day, they walked at moderate-intensity (40% of the maximum heart rate reserve) for 15 min, 30 min after each meal (exercise day; E day). Glucose homeostasis was estimated by a continuous glucose monitor (CGM). All meals during the study were of standard composition. We compared NE day and E day concerning 24-h glucose homeostasis and 3 h postprandial glucose levels by the incremental area under the curve (iAUC) method. Medications were not changed during the study.

Results

The number of patients under basal supported oral therapy, intensive insulin therapy and oral hypoglycemic agents (OHA) were 5, 4 and 2, respectively. The blood glucose standard deviation over 24 h and the iAUC for the 24-h glycemic variability (NE day vs. E day; 34,765 [21,424-56,014] vs. 23,205 [15,323-39,779]) were smaller in E day than in NE day.

Conclusion

These results suggest that postprandial moderate-intensity walking, easily performable in daily life activities, was effective for improving glucose homeostasis. Further study should be performed to clarify the relationship between postprandial walk and drug therapy (insulin and OHA), including insulin secretory ability.

Exploring Parental Experiences of Using a Do-It-Yourself Solution for Continuous Glucose Monitoring Among Children and Adolescents With Type 1 Diabetes: A Qualitative Study

BACKGROUND

MiaoMiao (MM) is a Bluetooth transmitter, which when paired with a smart phone/device, converts the Abbott FreeStyle Libre flash glucose monitoring system into a Do-It-Yourself (DIY) continuous glucose monitor (CGM). Families are increasingly adopting DIY CGM solutions, but little is known about parent and child experiences with these add-on technologies. We aimed to explore experiences of families using MM-CGM including challenges faced and their advice to others who may choose to use the technology.

METHODS

Between May and July 2019, we conducted 12 semistructured interviews (in person or via video conference) with parents of children (aged ≤16 years) with type 1 diabetes using MM-CGM. Interviews were audio recorded; professionally transcribed and key themes were identified through thematic analysis.

RESULTS

Overall, parents used MM-CGM to proactively manage their child's blood glucose. In all participants, this led to a perceived decrease in frequency of hypoglycemia. Participants reported that the visibility and easy access to blood glucose readings, glucose trends, and customized alarms on parent's phones decreased their disease burden and improved their sleep quality. Common barriers to using MM-CGM included difficulty of the setting up process, connectivity issues, and lack of support from medical teams.

CONCLUSION

This study highlights the potential feasibility of using a DIY CGM system like MM-CGM, which could be an empowering and cost-effective tool for enabling remote monitoring of blood glucose in real time.

Sleep and Night-time Caregiving in Parents of Children and Adolescents with Type 1 Diabetes Mellitus - A Qualitative Study

BACKGROUND

Type 1 diabetes mellitus (T1DM) is a common chronic illness of childhood, with parents assuming considerable responsibility for night-time diabetes caregiving. This qualitative study explored diabetes-related factors affecting, and solutions proposed to improve, parental sleep.

PARTICIPANTS

10 mothers and 10 fathers of children ≤18 years of age with T1DM in Otago, New Zealand.

METHODS

Semi-structured individual interviews were audio-recorded, transcribed, and systematically coded for themes. Parents completed the Pittsburgh Sleep Quality Index (PSQI) and habitual sleep of parents and children were assessed via 7-day actigraphy.

RESULTS

Parents (n = 20) and their children with T1DM (n = 16) were aged between 32 and 54 years, and 1 and 17 years, respectively. PSQI revealed poor quality sleep in 13/20 parents. A range of diabetes-related factors, including glucose monitoring and fear of hypoglycemia, contributed to parental sleep disturbance, including awakenings and the perception of "sleeping lightly". Two distinct time periods resulted in greater sleep disturbance, notably, following T1DM diagnosis and when transitioning to using a new diabetes technology. Factors influencing maternal and paternal sleep were similar, but, generally, mothers described greater night-time care burden and sleep disturbance. While the use of diabetes technologies was generally advocated to improve parental sleep and the provision of nocturnal T1DM care, they were also perceived to potentially contribute to parental sleep disturbance.

CONCLUSIONS

Pediatric diabetes care teams should be aware of diabetes-related factors potentially affecting parental sleep, the mixed impacts of diabetes technologies, and consider tailored parental support and education to reduce the burden of nocturnal care.

Artificial Pancreas Control Strategies Used for Type 1 Diabetes Control and Treatment: A Comprehensive Analysis

This paper presents a comprehensive survey about the fundamental components of the artificial pancreas (AP) system including insulin administration and delivery, glucose measurement (GM), and control strategies/algorithms used for type 1 diabetes mellitus (T1DM) treatment and control. Our main focus is on the T1DM that emerges due to pancreas’s failure to produce sufficient insulin due to the loss of beta cells (β-cells). We discuss various insulin administration and delivery methods including physiological methods, open-loop, and closed-loop schemes. Furthermore, we report several factors such as hyperglycemia, hypoglycemia, and many other physical factors that need to be considered while infusing insulin in human body via AP systems. We discuss three prominent control algorithms including proportional-integral- derivative (PID), fuzzy logic, and model predictive, which have been clinically evaluated and have all shown promising results. In addition, linear and non-linear insulin infusion control schemes have been formally discussed. To the best of our knowledge, this is the first work which systematically covers recent developments in the AP components with a solid foundation for future studies in the T1DM field.

Assessing Diabetes Distress and Sleep Quality in Young Adults with Type 1 Diabetes Using FreeStyle Libre: A Prospective Cohort Study

INTRODUCTION

The burden of diabetes, its potential complications, and related self-care activities can induce negative psychosocial effects in patients with type 1 diabetes mellitus (T1DM). This prospective cohort study investigated the psychosocial benefits associated with 3 months of FreeStyle Libre (FSL) flash glucose monitoring use in young adults with T1DM in Saudi Arabia.

METHODS

Patients completed the Diabetes Distress Scale (DDS) and the Pittsburgh Sleep Quality Index (PSQI) questionnaires at baseline and 3 months. HbA1c, number of confirmed hypoglycemia episodes per month, and frequency of blood glucose testing were also collected at baseline and 3 months.

RESULTS

Of 95 patients analyzed, significant reductions were observed in mean DDS (3.8 vs. 2.5; p < 0.001) and PSQI (8.7 vs. 3.9; p < 0.001) scores from baseline to 3 months. Furthermore, HbA1c and confirmed hypoglycemia episodes per month also decreased from baseline to 3 months (HbA1c 8.3 vs. 7.7% [67 vs. 61 mmol/mol], p < 0.001; hypoglycemia episodes 3.0 vs. 2.3, p < 0.001). In contrast, mean frequency of blood glucose testing per day increased from baseline to 3 months (2.5 vs. 5.2; p < 0.001).

CONCLUSION

These data demonstrate improvements in diabetes distress and sleep quality as well as glycemic outcomes following 3 months' FSL use in young adults with T1DM.

Efficacy and safety of flash glucose monitoring in patients with type 1 and type 2 diabetes: a systematic review and meta-analysis

INTRODUCTION

Flash glucose monitoring (FGM) is a factory-calibrated sensor-based technology for the measurement of interstitial glucose. We performed a systematic review and meta-analysis to assess its efficacy and safety in patients with type 1 and type 2 diabetes.

RESEARCH DESIGN AND METHODS

PubMed, CENTRAL, Scopus and Web of Science were searched in July 2019. Twelve studies with a follow-up longer than 8 weeks, evaluating 2173 patients on prandial insulin, multiple daily insulin injections or continuous subcutaneous insulin infusion were included. The following data were extracted: HbA1c, time in range, time above 180 mg/dL, time below 70 mg/dL, frequency of hypoglycemic events, number of self-monitoring of blood glucose (SMBG) measurements, total daily insulin dose, patient-reported outcomes, adverse events, and discontinuation rate. A comparison with SMBG was conducted.

RESULTS

FGM use was associated with a reduction in HbA1c (-0.26% (-3 mmol/mol); p=0.002) from baseline to the last available follow-up, which correlated with HbA1c levels at baseline (-0.4% (-4 mmol/mol) for each 1.0% (11 mmol/mol) of HbA1c above 7.2% (55 mmol/mol)). Also, a decrease in time below 70 mg/dL was found (-0.60 hours/day; p=0.04). Favorable findings in patient-reported outcomes and no device-related serious adverse events were reported. When compared with SMBG, FGM was characterized by no statistically different change in HbA1c (p=0.09), with lower number of SMBG measurements per day (-3.76 n/day; p<0.001) and risk of discontinuation (relative risk=0.42; p=0.001). A limited number of studies, with a heterogeneous design and usually with a short-term follow-up and without specific training, were found.

CONCLUSIONS

The present review provides evidence for the use of FGM as an effective strategy for the management of diabetes.

What Training, Support, and Resourcing Do Health Professionals Need to Support People Using a Closed-Loop System? A Qualitative Interview Study with Health Professionals Involved in the Closed Loop from Onset in Type 1 Diabetes (CLOuD) Trial

Background: We explored health professionals' views about the training, support, and resourcing needed to support people using closed-loop technology in routine clinical care to help inform the development of formal guidance. Methods: Interviews were conducted with health professionals (n = 22) delivering the Closed Loop from Onset in Type 1 Diabetes (CLOuD) trial after they had ≥6 months' experience of supporting participants using a closed-loop system. Data were analyzed descriptively. Results: Interviewees described how, compared with other insulin regimens, teaching and supporting individuals to use a closed-loop system could be initially more time-consuming. However, they also noted that after an initial adjustment period, users had less need for initiating contact with the clinical team compared with people using pumps or multiple daily injections. Interviewees highlighted how a lessened need for ad hoc clinical input could result in new challenges; specifically, they had fewer opportunities to reinforce users' diabetes knowledge and skills and detect potential psychosocial problems. They also observed heightened anxiety among some parents due to the constant availability of data and unrealistic expectations about the system's capabilities. Interviewees noted that all local diabetes teams should be empowered to deliver closed-loop system care, but stressed that health professionals supporting closed-loop users in routine care will need comprehensive technology training and standardized clinical guidance. Conclusion: These findings constitute an important starting point for the development of formal guidance to support the rollout of closed-loop technology. Our recommendations, if actioned, will help limit the potential additional burden of introducing closed-loop systems in routine clinical care and help inform appropriate user education and support.

Development of a Novel Tool to Support Engagement With Continuous Glucose Monitoring Systems and Optimize Outcomes

BACKGROUND

Increasing numbers of people with diabetes, especially those with type 1 diabetes (T1D), are using continuous glucose monitoring (CGM) systems to support their diabetes self-management, yet even so only approximately 30% of individuals with T1D meet the American Diabetes Association HbA1c target of 58 mmol/mol (7.5%) for children and 53 mmol/mol (7.0%) for adults. We aimed to produce a useful tool for people with diabetes to improve personalized understanding of CGM.

METHOD

A brief leaflet titled "Guidelines to Improve Glucose Control Using CGM" was developed for people with diabetes. Semistructured interviews were held with 12 adults with T1D, focusing on their views regarding the relevance, readability, and usability of the newly revised leaflet. Participants were specifically asked to share what they would find most useful in terms of information and advice provided as well as how to make use of that in the context of their own diabetes self-management. Data were analyzed thematically and used to inform revisions of the leaflet content.

RESULTS

Data highlighted information and advice needs as well as personalization in terms of own diabetes management.

CONCLUSIONS

CGM systems are associated with improved medical and psychosocial outcomes, especially when used effectively to meet the individual needs of the user. Ensuring greater understanding of the individual's expectations when first starting CGM, matching experience and skills to meet those expectations, and tailoring use to the individual needs of each person with diabetes (PWD) are all required to achieve widespread and consistent benefit.

Alarm Settings of Continuous Glucose Monitoring Systems and Associations to Glucose Outcomes in Type 1 Diabetes

CONTEXT

Little evidence exists regarding the positive and negative impacts of continuous glucose monitor system (CGM) alarm settings for diabetes control in patients with type 1 diabetes (T1D).

OBJECTIVE

Evaluate the associations between CGM alarm settings and glucose outcomes.

DESIGN AND SETTING

A cross-sectional observational study in a single academic institution.

PATIENTS AND MAIN OUTCOME MEASURES

CGM alarm settings and 2-week CGM glucose information were collected from 95 T1D patients with > 3 months of CGM use and ≥ 86% active usage time. The associations between CGM alarm settings and glucose outcomes were analyzed.

RESULTS

Higher glucose thresholds for hypoglycemia alarms (ie, ≥ 73 mg/dL vs < 73 mg/dL) were related to 51% and 65% less time with glucose < 70 and < 54 mg/dL, respectively (P = 0.005; P = 0.016), higher average glucose levels (P = 0.002) and less time-in-range (P = 0.005), but not more hypoglycemia alarms. The optimal alarm threshold for < 1% of time in hypoglycemia was 75 mg/dL.Lower glucose thresholds for hyperglycemia alarms (ie, ≤ 205 mg/dL vs > 205 mg/dL) were related to lower average glucose levels and 42% and 61% less time with glucose > 250 and > 320 mg/dL (P = 0.020, P = 0.016, P = 0.007, respectively), without more hypoglycemia. Lower alarm thresholds were also associated with more alarms (P < 0.0001). The optimal alarm threshold for < 5% of time in hyperglycemia and hemoglobin A1c ≤ 7% was 170 mg/dL.

CONCLUSIONS

Different CGM glucose thresholds for hypo/hyperglycemia alarms are associated with various hypo/hyperglycemic outcomes. Configurations to the hypo/hyperglycemia alarm thresholds could be considered as an intervention to achieve therapeutic goals.

Use of remote monitoring with continuous glucose monitoring in young children with Type 1 diabetes: the parents' perspective

AIM

Remote monitoring with continuous glucose monitoring (CGM) in children with Type 1 diabetes mellitus has recently become available, but little is known about caregivers' experiences of its use, particularly in younger children. The aim of this study was to explore parents' everyday experiences of using this technology.

METHODS

The parents of children with Type 1 diabetes diagnosed for > 1 year, aged 2-12 years were invited to participate in a semi-structured interview. Interviews were the second phase of a randomized cross-over study using standard insulin therapy with or without CGM and remote monitoring for two 3-month periods. Open-ended questions were used to explore parents' real-life experiences of the remote monitoring and CGM system. Interviews were analysed using thematic analysis.

RESULTS

Five themes related to remote monitoring emerged: (i) impact on sleep quality for the parents, (ii) peace of mind, (iii) impact on anxiety, (iv) freedom and confidence for the parents and children, and (v) impact on relationships. Furthermore, parents reported on themes related to CGM in general, such as better understanding of how to manage and control their child's diabetes and experiences related to physical or technical aspects.

CONCLUSION

Overall, parents of primary school children reported that using remote monitoring and CGM was a mostly beneficial experience. However, negative aspects within the themes were also reported. These findings will help to provide a structure to discuss parent and child expectations and provide targeted education at the start of using remote monitoring and CGM.

CGM Benefits and Burdens: Two Brief Measures of Continuous Glucose Monitoring

BACKGROUND

Continuous glucose monitors (CGM) are underutilized by individuals with type 1 diabetes (T1D), particularly during the adolescent years. Little is known about perceptions of CGM benefit and burdens, and few tools exist to quantify this information.

METHODS

Two questionnaires were developed and validated-Benefit of CGM (BenCGM) and Burdens of CGM (BurCGM)-in a sample of adolescents ages 12-19 years involved in the T1D Exchange Registry. We chose to start the validation process with adolescents given their low CGM uptake and high risk for suboptimal glycemic outcomes. Exploratory and confirmatory factor analyses were conducted to confirm factor structure and select items. The resultant scales were tested for internal reliability and convergent/divergent validity with critical diabetes and quality of life outcomes: age, depression, diabetes distress, self-efficacy, technology attitudes, and diabetes technology attitudes.

RESULTS

A total of 431 adolescents with T1D completed the questionnaires (51% female, mean age 16.3 ± 2.26, 83% white non-Hispanic, 70% having used CGM). Two single factor scales emerged, and scales were reduced to 8 items each. Those who perceived higher benefit of CGM exhibited lower diabetes distress, higher self-efficacy, and more positive attitudes toward technology. Those who perceived higher burden of CGM exhibited higher diabetes distress, lower self-efficacy, and less positive technology attitudes.

CONCLUSION

The BenCGM and BurCGM questionnaires each comprise 8-items that demonstrate robust psychometric properties for use in adolescents with T1D, and can be used to develop targeted interventions to increase CGM wear to improve diabetes management.

Acceptability of Continuous Glucose Monitoring in Elderly Diabetes Patients Using Multiple Daily Insulin Injections

Background: Integrative diabetes care is lifelong and encompasses patient-reported outcome measures (PROMs). Understanding older adults' perceptions of continuous glucose monitoring (CGM) benefits and potential annoyances is important to assist with introducing it in this population. The aim of this study was to investigate PROMs and effectiveness of CGM introduction in elderly multiple daily injection (MDI) users with well-controlled diabetes. Methods: MDI-treated elderly (n = 25, mean age 67.6 ± 1.2 years, HbA1c = 7.1% ± 0.2%, 56% type 1 diabetes) were instructed to use a CGM device. PROMs were measured by questionnaires. CGM-recorded glycemic control metrics (time in range [TIR], time in hypoglycemia, coefficient of variation [CV]) were compared during blinded CGM and real-time CGM. Results: Satisfaction with CGM use was high; with perceived advantages as "very common" (4.22 out of 5) and annoyances as "modest" (1.82 out of 5). In total 95% of participants expressed improved sense of security with CGM use, 68% reported of improved sleep quality, and 82% were willing to use a CGM device after finishing the study protocol. CGM introduction did not impose additional diabetes-related distress (measured by the Problem Areas in Diabetes questionnaire). Significant improvements in TIR (3.9-10.0 mmol/L) (66.3% ± 2.6% vs. 76.9% ± 3.0%; P < 0.001), time in hypoglycemia (9.6% ± 2.1% vs. 5.2% ± 1.1%; P = 0.041), as well as reduced glycemic variability (%CV) (37.3 ± 11.1 vs. 32.9 ± 6.3; P < 0.001) were observed. Conclusion: Introduction of CGM in elderly patients with well-controlled diabetes resulted in high satisfaction without imposing additional diabetes distress. Furthermore, an added benefit in glucose control with stabilizing glycemia in target range was proven.

Improvement in Psychosocial Outcomes in Children with Type 1 Diabetes and Their Parents Following Subsidy for Continuous Glucose Monitoring

Background: In April 2017, the Australian Government announced the full subsidy of continuous glucose monitors (CGM) to children and young people <21 years with type 1 diabetes (T1D). This study aimed to evaluate the effect of CGM on psychosocial outcomes in a T1D pediatric population-based sample. Methods: Children with T1D, commencing CGM between June 2017 and January 2018, and their parents were recruited in a prospective cohort study in a tertiary pediatric hospital in Western Australia. Parents and children older than 12 years self-completed questionnaires at onset of CGM and 2 months later, on fear of hypoglycemia (FOH) and diabetes treatment satisfaction (DTS). Parents provided measures of sleep quality. Children completed the Gold hypoglycemia awareness score. Hemoglobin A1c (HbA1c) values were compared at baseline (BL) and follow-up (FU). Results: Sixty parents and 38 children provided measures at BL and FU. Parental total FOH decreased (mean score BL vs. FU; 50.0 vs. 44.3, P = 0.004) with reduction in the Worry subscore (28.2 vs. 24.2, P = 0.004). Furthermore, parental and child DTS increased. Parental sleep quality improved (P < 0.001) and overnight finger prick testing decreased (P < 0.001). Impaired hypoglycemic awareness decreased in children (26.3% vs. 10.5%, P = 0.031). HbA1c reduced from 8.4% (68 mmol/mol) to 8.1% (65 mmol/mol) (P = 0.036). Conclusions: Introduction of subsidized CGM showed early improvement in psychosocial and glycemic outcomes in patients and their families in Western Australia. Ongoing evaluation is essential to assess whether equitable access to CGM will translate to sustained benefits for Australian T1D pediatric patients.

MiniMed 670G hybrid closed loop artificial pancreas system for the treatment of type 1 diabetes mellitus: overview of its safety and efficacy

Introduction: Automated insulin delivery for people with type 1 diabetes has been a major goal in the diabetes technology field for many years. While a fully automated system has not yet been accomplished, the MiniMed™ 670G artificial pancreas (AP) system is the first commercially available insulin pump that automates basal insulin delivery, while still requiring user input for insulin boluses. Determining the safety and efficacy of this system is essential to the development of future devices striving for more automation. Areas Covered: This review will provide an overview of how the MiniMed 670G system works including its safety and efficacy, how it compares to similar devices, and anticipated future advances in diabetes technology currently under development. Expert Opinion: The ultimate goal of advanced diabetes technologies is to reduce the burden and amount of management required of patients with diabetes. In addition to reducing patient workload, achieving better glucose control and improving hemoglobin A1c (HbA1c) values are essential for reducing the threat of diabetes-related complications further down the road. Current devices come close to reaching these goals, but understanding the unmet needs of patients with diabetes will allow future technologies to achieve these goals more quickly.

Reducing Hypoglycemia in the Real World: A Retrospective Analysis of Predictive Low-Glucose Suspend Technology in an Ambulatory Insulin-Dependent Cohort

Objective: Analyze real-world usage and impact of a predictive low-glucose suspend (PLGS) insulin delivery system for maintenance of euglycemia and prevention of hypoglycemic events in people with insulin-dependent diabetes. Methods: Retrospective analysis of Tandem Basal-IQ users who uploaded at least 21 days of PLGS usage data between August 31, 2018, and March 14, 2019 (N = 8132). Insulin delivery and sensor-glucose concentrations were analyzed. The times spent below 70 mg/dL, between 70 and 180 mg/dL, and above 180 mg/dL were assessed. Subgroup analyses were conducted to examine matched pre-/postoutcomes with experienced users (n = 1371) and performance over time for a mixed subgroup with >9 weeks of data (n = 3563). Results: The mean age of patients was 32.4 years, 52% were female, 96% had type 1 diabetes, and 4% had type 2 diabetes. Mean duration on PLGS was 65 days. Algorithm introduction led to a 45% median relative risk reduction in sensor time <70 mg/dL, pre/post (% <70:2.0, 1.1), while the mean glucose remained stable (168 and 168 mg/dL). Mean frequency of hypoglycemic events decreased from one every 9 days to one every 30 days. Total daily insulin dose decreased from 43.4 to 42.3 U in the pre/post subgroup. Manual override of the system was low (4.5%). The number of daily suspensions remained stable (4.9). Conclusions: Introduction of PLGS resulted in effective and sustained prevention of hypoglycemia without a significant increase in mean blood glucose and may be considered for people with type 1 diabetes at risk for hypoglycemia.