The use of continuous glucose monitoring systems in a pediatric population with type 1 diabetes mellitus in real-life settings: the AWeSoMe Study Group experience

Factors associated with the level of self-management in elderly patients with chronic diseases: a pathway analysis

BACKGROUND

To analyze the effects and pathways of factors such as psychological capital, family functioning, and sources of meaning in life on the level of self-management in elderly patients with chronic diseases and to provide a basis for the development of relevant nursing interventions in the future.

METHODS

Convenience sampling was used to select elderly patients with chronic diseases who underwent medical checkups and consultations at three community hospitals in Jinzhou city from March 2023 to October 2023, and the self-designed General Information Questionnaire (GIS), Psychological Capital of the Elderly Scale (PCE), Family Functioning Index Questionnaire (APGAR), Sources of Meaning of Life Scale for Older Adults(SMSE), and Self-Management Behavior of Chronic Patients Scale (SMCS) were used. SPSS 26.0 was used for data entry, one-way analysis, Pearson correlation analysis, and multiple linear regression were used to analyze the data, and Amos 17.0 was used to construct the structural equation model.

RESULTS

A total of 355 elderly patients with chronic diseases were included, and their self-management score was 74.75 ± 12.93, which was moderate. The results of the influencing factor analysis showed that the influencing factors of the self-management level of elderly chronic disease patients were age, years of illness, psychological capital, family functioning, and sources of meaning in life (p < 0.05). Path analysis revealed that sources of meaning in life were a partial mediator of the relationship between psychological capital and self-management, with an effect value of 0.166 (95% CI: 0.042,0.391), accounting for 37.6% of the total effect; life meaning was a partial mediator of family functioning and self-management level, with an effect value of 0.231 (95% CI: 0.040,0.452), accounting for 54.0% of the total effect. accounting for 54.0% of the total effect.

CONCLUSION

The self-management of elderly patients with chronic diseases is intermediate. Healthcare professionals should actively implement holistic healthcare management measures from the family aspect to help patients understand the meaning of life and improve the level of patients' psychological capital to improve the self-management level of elderly patients with chronic diseases.

Impact of continuous glucose monitoring on everyday life of young children with type 1 diabetes and their parents: An evaluation of 114 families

INTRODUCTION

The prevalence of type 1 diabetes is increasing worldwide. The advent of new monitoring devices has enabled tighter glycemic control.

AIM

To study the impact of glucose monitoring devices on the everyday life of young children with type 1 diabetes (T1D) and their parents.

METHODS

A questionnaire was addressed to parents of children with T1D under the age of 6 years with an insulin pump treated in one of the hospitals of the ADIM network in France between January and July 2020.

RESULTS

Among the 114 families included in the study, 53% of parents (26/49) woke up every night to monitor blood glucose levels when their child had flash glucose monitoring (FGM), compared with 23% (13/56) of those whose child had continuous glucose monitoring (CGM). Overall, 81% of parents (86/108) found that glucose monitoring improved their own sleep and parents whose child had CGM were significantly more likely to report improved sleep (86% vs 73%, p = 0.006). Forty-nine percent of parents (55/113) declared that they (in 87% of cases, the mother only) had reduced their working hours or stopped working following their child's T1D diagnosis. Maternal unemployment was significantly associated with the presence of siblings (p = 0.001) but not with glycemic control (p = 0,87). Ninety-eight percent of parents (105/107) think that glucose monitoring improves school integration.

CONCLUSION

In these families of children with T1D, new diabetes technologies reduced the burden of care but sleep disruption remained common. Social needs evaluation, particularly of mothers, is important at initial diagnosis of T1D in children.

Cystic fibrosis-related diabetes: Prevalence, screening, and diagnosis

Cystic fibrosis-related diabetes (CFRD) is the most common comorbidity in patients with cystic fibrosis (CF). Prevalence of CFRD increases with age and is greater with severe mutations. Other risk factors associated with CFRD are female sex, pancreatic insufficiency, liver disease, need for gastrostomy tube feedings, history of bronchopulmonary aspergillosis, and poor pulmonary function. CFRD is related to worse clinical outcomes and increased mortality. Early diagnosis and treatment have been shown to improve clinical outcomes. Screening for CFRD is recommended with an annual oral glucose tolerance test (OGTT) starting at age 10 years. Diagnosis of CFRD is made by standard American Diabetes Association (ADA) criteria during baseline health. CFRD can also be diagnosed in individuals with CF during acute illness, while on enteral feeds, and after transplant. In this review we will discuss the epidemiology of CFRD and provide an overview of the advantages and pitfalls of current screening and diagnostic tests for CFRD.

Glycaemic control in the paediatric and young adult population with type 1 diabetes following a single telehealth visit - what have we learned from the COVID-19 lockdown?

AIMS

Children with chronic diseases were unable to receive their usual care during COVID-19 lockdown. We assessed the feasibility and impact of telehealth visits on the time-in-range (TIR) of paediatric individuals with type 1 diabetes (T1D).

METHODS

An observational multicentre real-life study. Patients scheduled for an in-clinic visit during the lockdown were offered to participate in a telehealth visit. Sociodemographic, clinical, continuous glucose monitor and pump data were recorded 2 weeks prior and 2 weeks after telehealth visit. The primary endpoint was change in relative-TIR, i.e. change in TIR divided by the percent of possible change (∆TIR/(100-TIRbefore)*100).

RESULTS

The study group comprised 195 individuals with T1D (47.7% males), mean±SD age 14.6 ± 5.3 years, and diabetes duration 6.0 ± 4.6 years. Telehealth was accomplished with 121 patients and their parents (62.0%); 74 (38.0%) did not transfer complete data. Mean TIR was significantly higher for the two-week period after the telehealth visit than for the two-week period prior the visit (62.9 ± 16.0, p < 0.001 vs. 59.0 ± 17.2); the improvement in relative-TIR was 5.7±26.1%. Initial higher mean glucose level, lower TIR, less time spent at <54 mg/dl range, longer time spent at 180-250 mg/dl range, higher daily insulin dose, and single-parent household were associated with improved relative-TIR. Multiple regression logistic analysis demonstrated only initial lower TIR and single-parent household were significant, odds ratio: -0.506, (95%CI -0.99,-0.023), p=0.04 and 13.82, (95%CI 0.621, 27.016), p=0.04, respectively.

CONCLUSIONS

Paediatric and young adult patients with T1D benefited from a telehealth visit during COVID-19. However, this modality is not yet suitable for a considerable proportion of patients.

Continuous glucose monitoring in cystic fibrosis - A practical guide

Our ability to monitor blood glucose levels has become increasingly accurate over the last few decades. Continuous glucose monitoring (CGM) technology now allows providers and patients the ability to monitor glucose levels retrospectively as well as in real-time for diabetes management. CGM also provides the ability to study glucose patterns and trends for insight into the pathophysiology and natural history of disease. CGM captures a more complete picture of glucose profiles than traditional measures of glycemia such as the hemoglobin A1c or self-monitoring of blood glucose levels. This article provides a review of the history of glucose monitoring, a review of the literature pertaining to CGM with a focus on studies in patients with cystic fibrosis, and discusses practical uses of CGM technology and its application for the evaluation and management of cystic fibrosis related diabetes.

Executive Functions and Adherence to Continuous Glucose Monitoring in Children and Adolescents with Type 1 Diabetes

Background: Continuous glucose monitoring (CGM) has a beneficial impact on diabetes control; however, its utilization within people with diabetes remains low. The success of CGM requires cluster of cognitive skills and executive functions (EF). We speculated that participants with high EF would be more adherent to CGM use. Materials and Methods: The study population included 85 children and adolescents between 5 and 18 years old being followed for type 1 diabetes. Participants and their parents completed three questionnaires-"Behavior Rating Inventory of Executive Function" (BRIEF), CGM satisfaction, and a questionnaire assessing reasons for discontinuing CGM use. Results: Sixty-one participants used CGM on a regular basis and 24 discontinued use. Adherent participants were significantly younger than participants with nonadherence to CGM (P = 0.011). No significant differences were found between gender, diabetes duration, or HbA1c. Females adhering to CGM had a significantly higher "organization of environment" skill than those with nonadherence to CGM (P = 0.023). Also, adherent participants older than 14 years had a higher "organization of environment" skill than participants with nonadherence to CGM (P = 0.032). No difference was found between the groups in other EF domains. Alarm fatigue was found to be the main reason for discontinuing CGM. Conclusions: Given the interplay between CGM adherence and EF, it is recommended that people with diabetes should receive training by a multidisciplinary team, including psychological counseling, before CGM use and thus preparing them to cope with the demands of CGM and to avoid false expectations.

"Out of the box" solution for skin problems due to glucose-monitoring technology in youth with type 1 diabetes: real-life experience with fluticasone spray

BACKGROUND

Use of a continuous glucose-monitoring system (CGMS) in the management of type 1 diabetes (T1D) may cause local skin irritation.

OBJECTIVE

To examine the effects of fluticasone propionate aqueous nasal solution (nsFP), sprayed topically prior to CGMS insertion among youth with T1D.

METHODS

This is a case series observational report, including real-life 6-month follow-up data from one pediatric diabetes center. All patients suffering from local skin irritation due to CGMS adhesives were offered prevention form skin irritation by spraying 2 puffs of nsFP on the skin area prior to adhesion of CGMS. Data were collected from their charts after 6 months. Outcome measures included the difference in degree of skin irritation, number of days of CGMS use, BMI SDS, mean glucose, and HbA1c, prior to use and during 6 months after use.

RESULTS

Twelve patients used nsFP prior to CGMS insertion, mean age 8.6 ± 4.9 years and 66.7% males. Ten patients, median age 6.1 years (5.3-9.5) and 56% males, continued using nsFP for a mean of 0.56 ± 0.11 years, with no recurrence of local irritation nor dermatitis to same adhesive material. No differences were found before and after use of nsFP in CGMS mean glucose 180 mg/dl (153-202) versus 165 mg/dl (150-192). BMI SDS was slightly higher 0.44 (- 0.9-1.2) versus 0.25 (- 0.47-1.06), P = 0.05.

CONCLUSIONS

This small-scale, single-site description of a simple intervention by nsFP and favorable outcome provides valuable insight for a simple solution for skin irritation and dermatitis in the pediatric population with T1D.

The Impact of Externally Worn Diabetes Technology on Sexual Behavior and Activity, Body Image, and Anxiety in Type 1 Diabetes

BACKGROUND

We aimed to explore the impact of externally worn diabetes technologies on sexual behavior and activity, body image, and anxiety in adopters and nonadopters of these devices.

METHODS

People with type 1 diabetes aged 16-60 years living in Western Australia were invited to complete an online survey.

RESULTS

Of the 289 respondents (mean age 34.3 years), 45% used continuous subcutaneous insulin infusion (CSII) and 35% used continuous glucose monitoring (CGM). Approximately half of CSII users stated that the pump interferes with sex. Of these, 75% disconnect their pump during sexual activity to avoid this issue. Comfort during sex influenced the location of the CSII insertion site in 22% of respondents, with the abdomen being preferred. One in four non-CSII users cited sex-related concerns as a factor for not adopting the technology. CGM interfered with sexual activity in 20% of users, but did not commonly affect CGM placement (only 18%). Sexual activity was reported as a factor for not adopting the technology in 10% of non-CGM users. No differences in body dissatisfaction (P = .514) or anxiety (P = .304) between CSII and non-CSII users were observed. No differences in sexual activity and behavior between technology users and nontechnology users were observed.

CONCLUSION

Wearable technologies impact upon sexual activity and this influences the decision to adopt the technology. Despite this, technology users are similar in terms of sexual behavior, anxiety, and body image compared to nontechnology users. Where appropriate, these data can be used to identify potential concerns, address strategies to mitigate them, and inform people with diabetes when considering adopting external technologies.

Initial experiences of adolescents and young adults with type 1 diabetes and high-risk glycemic control after starting flash glucose monitoring - a qualitative study

Purpose

This study explored early experiences with a flash glucose monitoring system among adolescents and young adults with type 1 diabetes and high-risk glycemic control.

Methods

Adolescents and young adults with high-risk glycemic control (HbA1c ≥ 75 mmol/mol (9.0%) in the previous 6 months) who had recently commenced on flash glucose monitoring as part of a trial took part in a semi-structured interview exploring their experiences with the technology. All interviews were recorded, transcribed and analyzed using an inductive approach.

Results

Fifteen interviews were conducted. Overall, participants enjoyed flash glucose monitoring and planned to continue using their system. Key findings included flash glucose monitoring reduced diabetes management burden and increased glucose monitoring. Other impacts of flash glucose monitoring use included perceived improved mood and energy, increased capacity for physical activity and less parental conflict. While participants reported healthier glycemic control, participants' mean interstitial glucose level remained above the target range of 3.9-10.0 mmol/L (70-180 mg/dL) over the first month of flash glucose monitoring. Common challenges included premature sensor loss and decreased scanning over the first month of use.

Conclusions

Flash glucose monitoring may be an acceptable self-management tool to increase monitoring frequency in adolescents and young adults with type 1 diabetes and high-risk glycemic control, with the potential to improve long-term glycemic control. Initial support efforts should focus on practical strategies to prolong sensor wear and motivate frequent scanning as well as education on interpreting glucose data and making informed treatment decisions to maximize the benefits of this technology.

Flash Continuous Glucose Monitoring: Implications for Use of Continuous Data in Daily Diabetes Management

Full realization of the benefits of continuous glucose monitoring (CGM) depends on addressing barriers such as cost, accuracy, burdens of daily use, and uncertainty about applying the data. Lack of systematic education has also hampered widespread adoption among patients and health care professionals. This article describes the practical application of an affordable and intuitive category of CGM called "flash" that requires users to scan the sensor with a handheld reader for on-demand access to continuous data. The data may be used for in-the-moment therapy adjustment, retrospective review of glucose patterns, and observation of glucose trending in response to behavior. Higher rates of flash CGM scanning have been associated with increased time in the glycemic target range and reduced time in hyper- and hypoglycemia. Growing interest in this technology suggests new opportunities for helping more patients incorporate CGM into their daily self-care.

A Century of Diabetes Technology: Signals, Models, and Artificial Pancreas Control

Arguably, diabetes mellitus is one of the best-quantified human conditions: elaborate in silico models describe the action of the human metabolic system; real-time signals such as continuous glucose monitoring are readily available; insulin delivery is being automated; and control algorithms are capable of optimizing blood glucose fluctuation in patients' natural environments. The transition of the artificial pancreas (AP) to everyday clinical use is happening now, and is contingent upon seamless concerted work of devices encompassing the patient in a digital treatment ecosystem. This review recounts briefly the story of diabetes technology, which began a century ago with the discovery of insulin, progressed through glucose monitoring and subcutaneous insulin delivery, and is now rapidly advancing towards fully automated clinically viable AP systems.

Novel ambulatory glucose-sensing technology improves hypoglycemia detection and patient monitoring adherence in children and adolescents with type 1 diabetes

Purpose

Glucose monitoring [GM] is a mainstay of diabetes control and management. Improving glycemic control is essential to prevent microvascular complications. However, adherence to GM can be a challenge in children and adolescents. Detecting hypoglycemia is essential for its prevention and treatment. We aim to study the impact of the flash ambulatory glucose monitoring in detecting hypoglycemia and enhancing adherence in children and adolescents with type 1 diabetes.

Methods

The study is prospective involving 3 hospital visits. Children and adolescents with diabetes were enrolled in the study which involved a period on conventional glucose self-monitoring [glucometers] followed by a similar period of monitoring using the flash glucose monitoring device (FreeStyle Libre). Frequency of GM, duration and frequency of hypoglycemia were compared on conventional and the flash monitoring.

Results

75 subjects were studied. Age mean (range) was 11.9 years (2-19). Significant difference was seen in hypoglycemia detection between both testing devices. 68 (94%) and 65 (90%) patients detected nocturnal and diurnal hypoglycemia respectively on Flash monitoring compared to 12 (16.6%) and 30 (41%) on glucometer testing (p < 0.00). Mean (range) duration of hypoglycemia was 95 min (15-330). Statistically-significant difference was found between the frequency of GM on glucometer testing compared with Flash monitoring (2.87 and 11.6/day) (p < 0.001).

Conclusions

Flash monitoring is a useful tool to improve adherence to GM and detecting hypoglycemia [diurnal and nocturnal] in children and adolescents with type 1 diabetes.

[CGM-Continuous Glucose Monitoring-Statement of the Austrian Diabetes Association (Update 2019)]

This position statement represents the recommendations of the Austrian Diabetes Association regarding the clinical diagnostic and therapeutic application, safety and benefits of continuous subcutaneous glucose monitoring systems in patients with diabetes, based on current evidence.

Using Flash Continuous Glucose Monitoring in Primary Practice

IN BRIEF Obstacles to realizing the clinical benefits of continuous glucose monitoring (CGM) for daily diabetes management are being overcome with more affordable, user-friendly technologies. This article describes a novel category of CGM known as "flash" that may allow more routine use of continuous data for greater numbers of patients treated in primary care.

Comparing Insulin Pump Devices in Real Life: The AWeSoMe Study Group Prospective Experience

BACKGROUND

The use of insulin pumps in pediatric patients with type 1 diabetes (T1D) has expanded; however, data comparing devices remain scarce. We compared glycemic control, technical difficulties, and quality of life (QOL) between pump devices of three companies.

METHODS

This prospective observational trial is based on clinical data retrieved during 12 months of follow-up of pediatric patients who started pump therapy as part of their clinical care in four medical centers. The devices fully reimbursed by the national health insurance are as follows: MiniMed™ 640G, MiniMed^® Veo™, Animas^® Vibe^®, and Abbott OmniPod^®. Parameters investigated included discontinuation rate, glycated hemoglobin (HbA1c), mean self-monitoring of blood glucose (SMBG), total daily dose of insulin (TDD), pump setting parameters, body mass index (BMI), frequency of technical difficulties, significant skin reactions, and QOL.

RESULTS

Of 113 children (mean age 9.1 ± 4.1 years, 46% females), 68 (60%) used Medtronic devices, 33 (29%) OmniPod, and 12 (11%) Animas devices. Twelve percent of the cohort stopped using the pump during the study period, with no difference according to device. There were no differences between groups regarding mean SMBG values (P = 0.86), insulin TDD (P = 0.24), BMI (P = 0.87), level of insertion site pain or local reaction (P = 0.51), technical problems (P = 0.66), and QOL (P = 0.38). Changes in HbA1c from study initiation to end were also not statistically significant for any of the devices: from 7.99% ± 1.14% to 7.93% ± 0.99% for Medtronic, from 7.71% ± 1.29% to 7.92% ± 1.38% for OmniPod, and from 8.75% ± 1.3% to 7.70% ± 1.33% for Animas (P = 0.63).

CONCLUSIONS

Pump devices were comparable regarding glycemic control, weight gain, and satisfaction among pediatric patients with T1D.

Impact of technology-based interventions for children and young people with type 1 diabetes on key diabetes self-management behaviours and prerequisites: a systematic review

BACKGROUND

The role of technology in the self-management of type 1 diabetes mellitus (T1DM) among children and young people is not well understood. Interventions should aim to improve key diabetes self-management behaviours (self-management of blood glucose, insulin administration, physical activity and dietary behaviours) and prerequisites (psychological outcomes and HbA1c) highlighted in the UK guidelines of the National Institute for Health and Care Excellence (NICE) for management of T1DM. The purpose was to identify evidence to assess the effectiveness of technological tools in promoting aspects of these guidelines amongst children and young people.

METHODS

A systematic review of English language articles was conducted using the following databases: Web of Science, PubMed, Scopus, NUSearch, SAGE Journals, SpringerLink, Google Scholar, Science Direct, Sport Discus, Embase, Psychinfo and Cochrane Trials. Search terms included paediatric, type one diabetes, technology, intervention and various synonyms. Included studies examined interventions which supplemented usual care with a health care strategy primarily delivered through a technology-based medium (e.g. mobile phone, website, activity monitor) with the aim of engaging children and young people with T1DM directly in their diabetes healthcare. Studies did not need to include a comparator condition and could be randomised, non-randomised or cohort studies but not single-case studies.

RESULTS

Of 30 included studies (21 RCTs), the majority measured self-monitoring of blood glucose monitoring (SMBG) frequency, clinical indicators of diabetes self-management (e.g. HbA1c) and/or psychological or cognitive outcomes. The most positive findings were associated with technology-based health interventions targeting SMBG as a behavioural outcome, with some benefits found for clinical and/or psychological diabetes self-management outcomes. Technological interventions were well accepted by children and young people. For the majority of included outcomes, clinical relevance was deemed to be little or none.

CONCLUSIONS

More research is required to assess which elements of interventions are most likely to produce beneficial behavioural outcomes. To produce clinically relevant outcomes, interventions may need to be delivered for at least 1 year and should consider targeting individuals with poorly managed diabetes. It is not possible to determine the impact of technology-based interventions on insulin administration, dietary habits and/or physical activity behaviour due to lack of evidence.

Use of flash glucose-sensing technology (FreeStyle Libre) in youth with type 1 diabetes: AWeSoMe study group real-life observational experience

AIMS

Frequent glucose testing is required for optimal management of type 1 diabetes (T1D). Limited data are available regarding real-world experience of the novel technology for monitoring by continuous interstitial fluid glucose (IFG), using flash glucose-sensing technology (FSL-CGM). We aimed to assess the effect of FSL-CGM in a real-life clinical setting on glycemic control parameters, compliance, and adverse events among pediatric and young adult T1D patients.

METHODS

This observational multi-center study assessed FSL-CGM use (6-12 months) in T1D patients (mean ± SD age 13.4 ± 4.9 years) who purchased the device out-of-pocket. Outcome measures included HbA1c, mean IFG levels, CGM metrics [time in hypoglycemia (< 54 mg/dL; < 3 mmol/L), in target range (70-180 mg/dL; 3.9-10 mmol/L), and in hyperglycemia > 240 mg/dL; > 13.3 mmol/L)], frequency of self-monitoring of blood glucose, acute complications, skin reactions, and reasons for initiation/discontinuation.

RESULTS

Among patients with regular use of the FSL-CGM (n = 59), mean HbA1c decreased from 8.86 ± 0.23 to 8.05 ± 0.2% (73.3-64.5 mmol/mol) in 3 months (p = 0.0001) and plateaued thereafter. A clinically significant reduction in HbA1c (defined as a decrease of ≥ 0.5%) was associated with shorter diabetes duration. Of 71 patients who initiated use of the FSL-CGM, 12 (16.9%) discontinued during the study period. No statistically significant changes were found after FSL-CGM use, in mean and standard deviation IFG levels, and in time of glucose levels in target, hypoglycemia, and hyperglycemia ranges. One patient with hypoglycemia unawareness was found dead-in-bed while using FSL-CGM.

CONCLUSIONS

Real-life observational data in a self-selected young T1D population demonstrated a significant and sustained reduction in HbA1c with FSL-CGM in one-third of the participants. Surveillance of glucose monitoring should be individualized, especially for patients with hypoglycemia unawareness.

Accuracy of a Fourth-Generation Continuous Glucose Monitoring System in Children and Adolescents with Type 1 Diabetes

BACKGROUND

This study evaluated the safety and performance of the Guardian™ continuous glucose monitoring (CGM) system in children and adolescents with type 1 diabetes (T1D).

MATERIALS AND METHODS

Subjects 2-18 years of age (mean ± standard deviation [SD] 13.1 ± 3.9 years) with T1D and duration of diagnosis ≥1 year were enrolled at 11 sites in the United States and wore two Guardian Sensor 3 sensors in the abdomen and/or buttock. Sensors were connected to a transmitter paired with either a Guardian Connect system (i.e., mobile device with software application allowing display of sensor glucose [SG] values) or a Guardian Link 3 transmitter used as a Glucose Sensor Recorder (GSR). There were 145 participants who underwent a 6-h in-clinic frequent sample testing (FST) on day 1 (n = 54), day 3 (n = 48), or day 7 (n = 43) postsensor insertion. During FST, SG values were compared with a Yellow Springs Instrument (YSI) plasma reference every 5-15 min (n = 124, 7-18 years of age; n = 2, 2-6 years of age), or to a self-monitoring of blood glucose (SMBG) reference every 5-30 min (n = 19, 2-6 years of age).

RESULTS

The overall mean absolute relative difference (ARD ± SD) between SG and reference values (YSI or SMBG) when calibrating approximately every 12 h, was 10.9% ± 10.7% (3102 paired points) for sensors communicating with the Guardian Connect system and 11.1% ± 10.6% (2624 paired points) for sensors connected to the GSR. The overall percentage of SG values within ±20% of reference values >80 mg/dL or within 20 mg/dL of reference values ≤80 mg/dL was 87.8% for the Guardian Connect system and 86.7% for the GSR, respectively. There was one device-related adverse event of contact dermatitis, but no serious device-related adverse events.

CONCLUSIONS

The Guardian CGM system demonstrated good accuracy in children and adolescents. These findings support its use in sensor-integrated insulin pump platforms, as well as a standalone technology, for managing diabetes in pediatric populations.

Continuous Glucose Monitoring Associated With Less Diabetes-Specific Emotional Distress and Lower A1c Among Adolescents With Type 1 Diabetes

BACKGROUND

Psychosocial impact research of continuous glucose monitoring (CGM) and continuous subcutaneous insulin infusion (CSII) among adolescents with type 1 diabetes (T1D) is limited. The present study assesses associations between diabetes technology use on adolescent- and parent-perceived diabetes-specific distress and A1c.

METHOD

Adolescents with T1D and parents (N = 1040; primarily mothers) completed measures of diabetes distress. Adolescents were categorized by technology use: CGM Alone, CSII Alone, CGM+CSII, or No Technology. ANOVA, regression, and Cohen's d were used for group comparisons on measures of diabetes distress and A1c. Analyses also compared groups on clinical elevations of distress.

RESULTS

CGM use was associated with less adolescent distress compared to No Technology ( d = 0.59), CGM+CSII ( d = 0.26), and CSII Alone ( d = 0.29). Results were similar but with smaller effect size for parent-reported distress, although CGM+CSII showed equivocal association with parent distress compared to No Technology ( d = 0.18). CGM Alone was associated with lower A1c compared to No Technology ( d = 0.48), to CSII Alone ( d = 0.37), and was comparable to CGM+CSII ( d = 0.03). CGM+CSII conferred advantage over CSII Alone ( d = 0.34). Clinical elevation of distress was associated with not using any technology particularly for adolescents.

CONCLUSIONS

Technology use is associated with lower adolescent distress than lower parent distress. CGM Alone is associated with lower adolescent and parent distress than CSII or CGM+CSII. This appears to be clinically meaningful based on cut scores for measures. CGM is associated with lower A1c independent of being used alone or with CSII.

Paediatric type 1 diabetes 2018: Clinical and research insights

The management of children and adolescents with type 1 diabetes continues to progress as clinical and technological innovations enter into practice. Variability in glucose readings can present a significant challenge for care providers, patients and families alike and recent research demonstrates that insulin selection and site-related lipohypertrophy can significantly influence blood glucose levels. New technology aims to improve both glycemic control and quality of life. New insulin analogues have been developed and insulin pumps and continuous glucose monitoring systems continue to evolve toward a fully closed-loop system. While such systems are not yet currently available, incremental features such as 'low glucose suspend' are offered. As well, glucose sensors are now available that can be used for insulin dosing while reducing the number of capillary blood sugar checks. This review aims to provide the clinician with an overview of some of these latest aspects of diabetes care for children and adolescents.

Is Continuous Glucose Monitoring Underappreciated in the UK?

Introduction: Information about continuous glucose monitoring (CGM) use in the UK is limited. We conducted an online survey of a representative sample of current CGM users in England, Scotland and Wales to address this deficit. Methods: The 29-item online survey was conducted between 29 December 2016 and 25 January 2017. Persons with type 1 diabetes (T1D) and caregivers of T1D children/adolescents were recruited from mailing lists, using Nielsen and Harris Polling databases. Results: 315 patients and caregivers responded to the survey — 170 adult patients and 145 caregivers. Among respondents, 144 received full funding for CGM use, 72 received partial funding and 83 received no funding. Most reported improvements in glycated haemoglobin (HbA1c) (67.0%), fewer hypoglycaemia episodes (70.2%), improved hypoglycaemia awareness (77.5%) and better diabetes management (92.4%). Self-funders reported significantly higher CGM use (76.1%) than those who were fully funded (58.9%) and/or partially funded (65.9%), p=0.0008. Fewer than 50% of all respondents reported receiving guidance in interpreting CGM data from their diabetes care team; 30.1% of self-funders reported receiving no CGM support from their diabetes team compared with fully funded (2.8%) and partially funded (1.4%) respondents, p<0.0001. Conclusions: Patients with T1D and their caregivers are realising benefits from CGM use but are largely unsupported by the UK healthcare system.

Accuracy, User Acceptability, and Safety Evaluation for the FreeStyle Libre Flash Glucose Monitoring System When Used by Pregnant Women with Diabetes

BACKGROUND

Accuracy of the FreeStyle Libre™ Flash Glucose Monitoring System has not been evaluated in pregnant women with diabetes. The aim of this study was to determine accuracy (compared to self-monitoring of blood glucose [SMBG]), clinical safety, and acceptability of the FreeStyle Libre System when used at home by this population.

MATERIALS AND METHODS

Seventy-four participants, with type 1 (T1D, n = 24), type 2 (T2D, n = 11), or gestational (n = 39) diabetes, were enrolled across 13 sites (9 in United Kingdom, 4 in Austria). Average gestation was 26.6 ± 6.8 weeks (mean ± standard deviation), age was 30.5 ± 5.1 years, diabetes duration was 13.1 ± 7.3 years for T1D and 3.2 ± 2.5 years for T2D, and 49/74 (66.2%) used insulin to manage their diabetes. Sensors were worn for up to 14 days. Sensor glucose values (masked) were compared with capillary SMBG values (made at least 4 times/day).

RESULTS

Clinical accuracy of sensor results versus SMBG results was demonstrated, with 88.1% and 99.8% of results within Zone A and Zones A and B of the Consensus Error Grid, respectively. Overall mean absolute relative difference was 11.8%. Sensor accuracy was unaffected by the type of diabetes, the stage of pregnancy, whether insulin was used, age or body mass index. User questionnaires indicated high levels of satisfaction with sensor wear, system use, and comparison to SMBG. There were no unanticipated device-related adverse events.

CONCLUSIONS

Good agreement was demonstrated between the FreeStyle Libre System and SMBG. Accuracy of the system was unaffected by patient characteristics, indicating that the system is safe and accurate to use by pregnant women with diabetes.

Diabetes Device Use and Glycemic Control among Youth with Type 1 Diabetes: A Single-Center, Cross-Sectional Study

AIM

The purpose of this cross-sectional study was to determine the rates of diabetes device use (insulin pump and continuous glucose monitor (CGM)) and association with glycemic control in youth with type 1 diabetes in a large, diverse pediatric center.

METHODS

Demographic and clinical data were obtained from 1992 patients who met the eligibility criteria (age < 26 years, diabetes duration ≥ 1 year, and ≥1 clinic visit in the preceding 12 months). Statistical analyses assessed the likelihood of device use based on demographic characteristics and the association between device use and glycemic control based on most recent hemoglobin A1c (HbA1c).

RESULTS

Mean age was 13.8 ± 4.2 years, 50.7% were female, diabetes duration was 6.2 ± 4 years, and mean HbA1c was 8.7 ± 1.8%. Overall, 38.2% of patients were on pump therapy and 18.5% were on CGM. Patients who were non-Hispanic (NH) white, privately insured, and with primary English-speaking parent(s) had higher rates of insulin pump use, as well as CGM use (P < 0.001 for both). Female patients had higher rates of pump use only (P < 0.01). Private health insurance, NH white race/ethnicity, and CGM use were each associated with lower HbA1c (P = 0.03, <0.001, and <0.008, resp.).

CONCLUSION

At a large, diverse, pediatric diabetes center, disparities in diabetes device use were present across sex, race/ethnicity, health insurance coverage, and primary language of parent(s). CGM use was associated with lower HbA1c. Quality improvement efforts are underway to ensure improved access, education, and clinical programs for advanced diabetes devices for T1D patients.

International Consensus on Use of Continuous Glucose Monitoring

Measurement of glycated hemoglobin (HbA_1c) has been the traditional method for assessing glycemic control. However, it does not reflect intra- and interday glycemic excursions that may lead to acute events (such as hypoglycemia) or postprandial hyperglycemia, which have been linked to both microvascular and macrovascular complications. Continuous glucose monitoring (CGM), either from real-time use (rtCGM) or intermittently viewed (iCGM), addresses many of the limitations inherent in HbA_1c testing and self-monitoring of blood glucose. Although both provide the means to move beyond the HbA_1c measurement as the sole marker of glycemic control, standardized metrics for analyzing CGM data are lacking. Moreover, clear criteria for matching people with diabetes to the most appropriate glucose monitoring methodologies, as well as standardized advice about how best to use the new information they provide, have yet to be established. In February 2017, the Advanced Technologies & Treatments for Diabetes (ATTD) Congress convened an international panel of physicians, researchers, and individuals with diabetes who are expert in CGM technologies to address these issues. This article summarizes the ATTD consensus recommendations and represents the current understanding of how CGM results can affect outcomes.

International Consensus on Use of Continuous Glucose Monitoring

Measurement of glycated hemoglobin (HbA_1c) has been the traditional method for assessing glycemic control. However, it does not reflect intra- and interday glycemic excursions that may lead to acute events (such as hypoglycemia) or postprandial hyperglycemia, which have been linked to both microvascular and macrovascular complications. Continuous glucose monitoring (CGM), either from real-time use (rtCGM) or intermittently viewed (iCGM), addresses many of the limitations inherent in HbA_1c testing and self-monitoring of blood glucose. Although both provide the means to move beyond the HbA_1c measurement as the sole marker of glycemic control, standardized metrics for analyzing CGM data are lacking. Moreover, clear criteria for matching people with diabetes to the most appropriate glucose monitoring methodologies, as well as standardized advice about how best to use the new information they provide, have yet to be established. In February 2017, the Advanced Technologies & Treatments for Diabetes (ATTD) Congress convened an international panel of physicians, researchers, and individuals with diabetes who are expert in CGM technologies to address these issues. This article summarizes the ATTD consensus recommendations and represents the current understanding of how CGM results can affect outcomes.

An alternative sensor-based method for glucose monitoring in children and young people with diabetes

OBJECTIVE

To determine accuracy, safety and acceptability of the FreeStyle Libre Flash Glucose Monitoring System in the paediatric population.

DESIGN, SETTING AND PATIENTS

Eighty-nine study participants, aged 4-17 years, with type 1 diabetes were enrolled across 9 diabetes centres in the UK. A factory calibrated sensor was inserted on the back of the upper arm and used for up to 14 days. Sensor glucose measurements were compared with capillary blood glucose (BG) measurements. Sensor results were masked to participants.

RESULTS

Clinical accuracy of sensor results versus BG results was demonstrated, with 83.8% of results in zone A and 99.4% of results in zones A and B of the consensus error grid. Overall mean absolute relative difference (MARD) was 13.9%. Sensor accuracy was unaffected by patient factors such as age, body weight, sex, method of insulin administration or time of use (day vs night). Participants were in the target glucose range (3.9-10.0 mmol/L) ∼50% of the time (mean 12.1 hours/day), with an average of 2.2 hours/day and 9.5 hours/day in hypoglycaemia and hyperglycaemia, respectively. Sensor application, wear/use of the device and comparison to self-monitoring of blood glucose were rated favourably by most participants/caregivers (84.3-100%). Five device related adverse events were reported across a range of participant ages.

CONCLUSIONS

Accuracy, safety and user acceptability of the FreeStyle Libre System were demonstrated for the paediatric population. Accuracy of the system was unaffected by subject characteristics, making it suitable for a broad range of children and young people with diabetes.

TRIAL REGISTRATION NUMBER

NCT02388815.

Continuous Glucose Monitoring (CGM) Adherence in Youth With Type 1 Diabetes: Associations With Biomedical and Psychosocial Variables

BACKGROUND

Continuous glucose monitoring (CGM) remains underutilized in youth with type 1 diabetes (T1D). There is a need to investigate factors associated with CGM use.

METHOD

In 61 T1D youth, CGM use was ascertained by downloads reflecting the 4-week periods preceding 3- and 6-month study visits. Demographic and clinical data were obtained from chart review and interview. Youth and parents completed validated psychosocial surveys at baseline and 6 months.

RESULTS

Youth (52% male, 93% Caucasian, 80% pump treated) were 12.7 ± 2.9 years old, with T1D for 6.3 ± 3.8 years; mean A1c was 7.9 ± 0.9%. Mean CGM use was 4.1 ± 2.1 days/week (median = 4.8) at 3 months and 3.4 ± 2.3 days/week (median = 3.9) at 6 months. At 3 and 6 months, 15% and 20% of youth, respectively, had stopped using CGM. At 6 months, youth using CGM 6-7 days/week had more frequent BG monitoring ( P = .05), less insulin omission ( P = .02), and greater probability of A1c < 7.5% ( P = .01) than youth using CGM less often. Youth using CGM 6-7 days/week consistently over the 6 months demonstrated lower A1c at 3 months compared to baseline ( P = .03) and the improvement was sustained at 6 months ( P = .5, 3 vs 6 months); youth using CGM less often had no significant A1c change. Baseline BG monitoring ≥8 times/day or A1c within target (<7.5%) predicted greater CGM use (6-7 days/week) at 6 months (OR = 4.6, P = .02). There was no deterioration of psychosocial functioning with CGM use.

CONCLUSIONS

Consistent and durable CGM use in youth with T1D is associated with treatment adherence and improved glycemic control without increasing psychosocial distress.

Recommendations for Using Real-Time Continuous Glucose Monitoring (rtCGM) Data for Insulin Adjustments in Type 1 Diabetes

The clinical benefits of real time continuous glucose monitoring (rtCGM) use have been well demonstrated in both CSII- and MDI-treated individuals in large clinical trials. However, recommendations for patient use of rtCGM in everyday life situations are lacking. This article provides guidance to clinicians and patients with type 1 diabetes (T1D) in effective use of rtCGM data, including glucose rate of change (ROC) arrows, for insulin dosing adjustments and other treatment decisions. The recommendations presented here are based on our own clinical experiences as endocrinologists, our personal experiences living with T1D using rtCGM, and findings from a recent survey of T1D patients who have successfully used rtCGM in their self-management. It is important that both clinicians and people with diabetes understand the utility and limitations of rtCGM. Maintaining a collaborative clinician-user relationship remains an important factor in safe, successful rtCGM use.

Continuous Glucose Monitoring Adherence: Lessons From a Clinical Trial to Predict Outpatient Behavior

AIMS

This study reports continuous glucose monitoring (CGM) adherence patterns and contributing factors in patients who were part of a 6-month clinical trial using sensor augmented pump therapy with low glucose insulin suspension.

METHODS

CGM data from 38 patients using sensor augmented pump therapy for 6 months were analyzed. CGM adherence was defined by having a working sensor available and determined by the time it was switched on as a proportion of available time for the 6 month study period with allowance for practical CGM use. Age, gender, HbA1c, duration of diagnosis, capillary blood glucose testing frequency, sensor accuracy, and insulin pump alarm frequency were characterized and examined for an association with CGM adherence.

RESULTS

Overall CGM adherence was 75% (range: 35% to 96%), CGM adherence was demonstrated to fall after 9 to 11 weeks before reaching a steady rate. CGM adherence patterns showed substantial variation. Mean adherence differed (P < .01) between age groups 72% (<12 years), 69% (12-18 years), and 88% (≥18 years). Sensor accuracy predicted adherence, where every 1% decline in mean absolute difference in a given week was associated with a 0.5% decline in sensor adherence (P < .01). Gender, HbA1c, duration of diagnosis, capillary blood glucose testing frequency, and insulin pump alarm frequency were not associated with CGM adherence.

CONCLUSIONS

CGM adherence and patterns of use are individualized. However, a predictable fall in adherence at 9 to 11 weeks may present an opportunity for timed interventions to increase CGM use. Adolescent age and sensor accuracy predict CGM adherence.

Adherence to glycemic monitoring in diabetes

Glucose monitoring either by self-monitoring of blood glucose (SMBG) or continuous glucose monitoring (CGM) plays an important role in diabetes management and in reducing risk for diabetes-related complications. However, despite evidence supporting the role of glucose monitoring in better patient health outcomes, studies also reveal relatively poor adherence rates to SMBG and CGM use and numerous patient-reported barriers. Fortunately, some promising intervention strategies have been identified that promote at least short-term improvements in patients' adherence to SMBG. These include education, problem solving, contingency management, goal setting, cognitive behavioral therapy, and motivational interviewing. Specific to CGM, interventions to promote greater use among patients are currently under way, yet one pilot study provides data suggesting better maintenance of CGM use in patients showing greater readiness for behavior change. The purpose of this review is to summarize the literature specific to glucose monitoring in patients with diabetes focusing specifically on current adherence rates, barriers to monitoring, and promising intervention strategies that may be ready to deploy now in the clinic setting to promote greater patient adherence to glucose monitoring. Yet, to continue to help patients with diabetes adhere to glucose monitoring, future research is needed to identify the treatment strategies and the intervention schedules that most likely lead to long-term maintenance of optimal glycemic monitoring levels.