Fear of hypoglycemia-An underestimated problem

Recurrent education: A promising strategy for enhancing diabetes management and reducing hypoglycemia in children with type 1 diabetes

BACKGROUND

This study aimed to assess the impact of recurrent individualized education on the management of hypoglycemia, hypoglycemia awareness, and metabolic control of diabetes in children and adolescents living with type 1 diabetes (T1D).

METHODS

A prospective quantitative study involving participants aged 8 to 18 years with T1D was conducted. Three established hypoglycemia screening tools were employed: the Hypoglycemia Fear Survey (HFS), the Gold Hypoglycemia Awareness Questionnaire, and the Edinburgh Hypoglycemia Symptoms Scale. The participants used blinded continuous glucose monitoring (b-CGM) devices to document glucose values, meals, insulin doses, exercise periods, symptomatic hypoglycemia episodes, and glucose levels during hypoglycemia, experienced symptoms, and treatment approaches for hypoglycemia. Following this initial phase, the participants received education from healthcare professionals. The same procedures were repeated six weeks after the educational intervention.

RESULTS

Prior to education, approximately half (n = 21) of the 47 participants were present with impaired hypoglycemia awareness (IHA), and half of the IHA group applied the appropriate hypoglycemia self-treatment. After education, almost all participants demonstrated an improved ability to manage hypoglycemia effectively. Following education, improvements in the frequency of fingerstick glucose measurement per day, time spent within the target glucose range (70-180 mg/dL), glycemic variability (GV), hypoglycemia perception, appropriate hypoglycemia self-treatment, and hypoglycemia fear were observed, both in participants with hypoglycemia awareness and those with IHA.

CONCLUSIONS

The results indicate that children and adolescents living with T1D benefit from recurrent self-management education. The benefits were observed in both participants with hypoglycemia awareness and those with IHA. Education positively impacts diabetes management and enhances hypoglycemia awareness.

Accounting for Hypoglycemia Treatments in Continuous Glucose Metrics

BACKGROUND

Continuous glucose monitoring (CGM) is increasingly used in the management of diabetes, providing dense data for patients and clinical providers to review and identify patterns and trends in blood glucose. However, behavioral factors like hypoglycemia treatments (HTs) are not captured in CGM data. Hypoglycemia treatments, by definition, reduce the visibility (frequency and duration) of hypoglycemia exposure recorded by CGM, which can lead to errors in treatment management when relying solely on CGM metrics.

METHODS

We propose a method to incorporate HTs into CGM-based metrics and standardize hypoglycemia exposure quantification for a variety of HT behaviors; specifically (1) treatment proactiveness and (2) potential severity of the avoided hypoglycemia. In addition, we introduce an HT detector to identify instances of HT using in CGM data that otherwise lack HT documentation. We then use the HT-modified hypoglycemia metrics in a previously published run-to-run treatment adaptation system using CGM-based metrics.

RESULTS

Using in-silico data to correct time-below-range with HT, we reconstruct the avoided hypoglycemia exposure with high fidelity (R2 = .94). Our HT detector has an F1 score of 0.72 on clinical data with labeled HT. In the example run-to-run application, we reduce the average number of HT per day from 3.3 in the HT-unaware system to 1.6, while maintaining 84% time in 70 to 180 mg/dL.

CONCLUSION

This new metric integrates HT behaviors into CGM-based analysis, offering a behavior-sensitive measure of hypoglycemia exposure for more robust T1D management. Our results show that HT can be seamlessly incorporated into existing CGM methods, enhancing treatment insights by accounting for HT variability.

Associations between clustering of hypoglycemic symptoms, psychological traits, and problem-solving abilities in adults with type 1 diabetes: baseline data analysis of the PR-IAH study

Background

Precision medicine in diabetes care requires a dedicated focus on hypoglycemic symptoms. This study explored the associations between clustering of hypoglycemic symptoms, psychological characteristics, and problem-solving capabilities in adults with type 1 diabetes (T1D).

Methods

A total of 251 adults with T1D participated in this survey. Hierarchical clustering was used to analyze 11 hypoglycemic symptoms (Edinburgh scale). The data included diabetic complications, fear of hypoglycemia, depressive symptoms, hypoglycemia problem-solving scale (HPSS), and treatment details. For predicting clusters and identifying feature importance, we utilized a machine learning approach.

Results

Three distinct clusters were observed; individuals not sensitive to autonomic or neuroglycopenic symptoms (cluster 1, n = 138), those sensitive to both autonomic and neuroglycopenic symptoms (cluster 2, n = 19), and those sensitive to autonomic but not neuroglycopenic symptoms (cluster 3, n = 94). Compared to cluster 1, individuals from clusters 2 and 3 were of younger age, had higher fear of hypoglycemia, increased depressive symptoms, and greater use of continuous subcutaneous insulin infusion. Cluster 2 displayed enhanced HPSS scores, indicating better detection control and a more proactive approach to seeking preventive strategies than cluster 1. The accuracy for classifying into 3 clusters using machine learning was 88.2%. The feature importance of random forest model indicated that hunger, shaking, palpitation, sweating, and confusion were the top five important factors for predicting clusters.

Conclusion

This study identified three distinct clusters of adults with T1D. These findings may provide valuable insights for diabetes professionals seeking to educate these individuals on how to manage hypoglycemia effectively.

Trial registration

University Hospital Medical Information Network (UMIN) Center: UMIN000039475); approval date: February 13, 2020.

A framework for integrating artificial intelligence for clinical care with continuous therapeutic monitoring

The complex relationships between continuously monitored health signals and therapeutic regimens can be modelled via machine learning. However, the clinical implementation of the models will require changes to clinical workflows. Here we outline ClinAIOps ('clinical artificial-intelligence operations'), a framework that integrates continuous therapeutic monitoring and the development of artificial intelligence (AI) for clinical care. ClinAIOps leverages three feedback loops to enable the patient to make treatment adjustments using AI outputs, the clinician to oversee patient progress with AI assistance, and the AI developer to receive continuous feedback from both the patient and the clinician. We lay out the central challenges and opportunities in the deployment of ClinAIOps by means of examples of its application in the management of blood pressure, diabetes and Parkinson's disease. By enabling more frequent and accurate measurements of a patient's health and more timely adjustments to their treatment, ClinAIOps may substantially improve patient outcomes.

Prevalence and factors of fear of hypoglycemia among Chinese older adults with type 2 diabetes mellitus: A cross-sectional study

The fear of hypoglycemia (FOH) in older adults with type 2 diabetes mellitus (T2DM) has seriously affected their glycemic control and quality of life. This was a cross-sectional study to identify the disease-related characteristics, psychological and social factors of FOH in older persons with T2DM, and to explore the relationship between these factors. A total of 332 older Chinese adults diagnosed with T2DM completed the survey. Results: The mean FOH score was 33.14 ± 11.273, which was associated with age, education, frequency of hypoglycemic episodes and types of hypoglycemia. Social support and psychological resilience were negatively correlated with FOH, and the association between social support and FOH in the participants was partially mediated by psychological resilience. Conclusions: Our study highlight that medical staff should pay more attention to the mental health status of older adults with T2DM, improving mental resilience and strengthening social support can help reduce their FOH level, and thereby help them control blood glucose scientifically and improve their quality of life.

Towards standardization of person-reported outcomes (PROs) in pediatric diabetes research: A consensus report

BACKGROUND

Diabetes ranks among the most common chronic conditions in childhood and adolescence. It is unique among chronic conditions, in that clinical outcomes are intimately tied to how the child or adolescent living with diabetes and their parents or carers react to and implement good clinical practice guidance. It is widely recognized that the individual's perspective about the impact of trying to manage the disease together with the burden of self-management should be addressed to achieve optimal health outcomes. Standardized, rigorous assessment of behavioural and mental health outcomes is crucial to aid understanding of person-reported outcomes alongside, and in interaction with, physical health outcomes. Whilst tempting to conceptualize person-reported outcomes as a focus on perceived quality of life, the reality is that health-related quality of life is multi-dimensional and covers indicators of physical or functional health status, psychological well-being and social well- being.

METHODS

In this context, this Consensus Statement has been developed by a collection of experts in diabetes to summarize the central themes and lessons derived in the assessment and use of person-reported outcome measures in relation to children and adolescents and their parents/carers, helping to provide a platform for future standardization of these measures for research studies and routine clinical use.

RESULTS

This consensus statement provides an exploration of person-reported outcomes and how to routinely assess and incorporate into clincial research.

Initiating an Insulin Safety Campaign to reduce the incidence of glycemic harm events for hospitalized adults 65 and older

BACKGROUND

During calendar years 2021 through 2023, our health system admitted 200,837 persons 18 years and older with diabetes, of which 61% (n = 123,393) were 65 years and older with orders for insulin administration. The incidence of diabetes among hospitalized persons 65 and older continues to increase in the United States, with 24 million adults 65 and older with diabetes reported in 2020. Insulin, a high-risk medication, has the potential for adverse drug events, which can cause significant harm to patients, potentially resulting in death. With the 2023 initiation of voluntary electronic clinical quality measures reporting for severe glycemic harm events from the Centers for Medicare Services, the study team saw an opportunity to evaluate and standardize insulin-related practices across the system.

METHODS

We implemented an Insulin Safety Campaign (ISC), to review, evaluate, and standardize insulin-related processes across our health system. The primary goal was to reduce severe glycemic harm events system-wide. Insulin-related practices were reviewed for best practice alignment and standardized. Outcomes were measured according to the Centers for Medicare and Medicaid Services' electronic clinical quality measures reporting guidelines.

RESULTS

Comparing pre-and post-implementation results, all five medical centers achieved statistically significant reductions in sever hyper- and hypoglycemic harm events.

CONCLUSIONS

Through a collaborative effort, we were able to identify, address, and reduce insulin-related process variabilities through standardization, reducing the percentage of severe glycemic harm events and improving blood glucose management in our hospitalized persons 65 and older.

Glucometrics and Patient-Reported Outcomes in Individuals With Type 1 Diabetes Mellitus: Insights From the Correlation of Time in Range (CorrelaTIR) Study in Real-World Settings

Background This study aimed to measure the association between time in range (TIR) and other continuous glucose monitoring (CGM)-derived glucometrics, quality of life (QoL), healthcare resource use (HCRU), and costs in persons with type 1 diabetes mellitus (T1DM) in routine clinical practice in Spain. Methods This observational, cross-sectional, multicentre study evaluated persons with T1DM who received insulin via multiple daily injections. The study collected data on the participants (demographic and clinical), the use of the CGM devices, patient-reported outcomes (PROs) for general and diabetes-related QoL, treatment satisfaction, work productivity and activity impairment, HCRU, and costs. Data were analysed descriptively. The Spearman correlation coefficient was used to measure the association between glucometrics and PROs, HCRU and costs. Results Participants (N=114) had a mean age (standard deviation) of 44.53 (14.39) years, were 50.88% men, and 53.51% had glycated haemoglobin ≤7%. A higher TIR was significantly associated with better diabetes-related QoL but not with general QoL. HCRU and PRO scores for treatment satisfaction and work productivity and activity impairment showed no correlation with TIR. Higher TIR correlated with a lower number of emergency room visits. Conclusion Good glycaemic control (high TIR) is favourably associated with some aspects of diabetes-related QoL.

Readiness of adults with type 1 diabetes and diabetes caregivers for diabetes distress monitoring using a voice-based digital health solution: insights from the PsyVoice mixed methods study

OBJECTIVES

Diabetes distress can negatively affect the well-being of individuals with type 1 diabetes (T1D). Voice-based (VB) technology can be used to develop inexpensive and ecological tools for managing diabetes distress. This study explored the competencies to engage with digital health services, needs and preferences of individuals with T1D or caring for a child with this condition regarding VB technology to inform the tailoring of a co-designed tool for supporting diabetes distress management.

DESIGN

We used a mixed methods design. We performed a qualitative reflexive thematic analysis of semistructured interviews of people living with T1D or caring for a child with T1D, complemented by quantitative analysis (descriptive statistics).

SETTING

12 adults living with T1D who attended diabetes centres or cared for a child with this condition participated in semistructured interviews to collect opinions about voice technology. They also responded to three questionnaires on sociodemographics and diabetes management, diabetes distress and e-health literacy.

OUTCOME MEASURES

Main: Patient experiences and perceptions derived from the coded transcriptions of interview data. Secondary: Quantitative data generated from Socio-Demographic and Diabetes Management questionnaire; Problem Areas in Diabetes Scale and e-Health Literacy Questionnaire.

RESULTS

Five major themes were generated from the participants' interview responses: (1) Experience of T1D, (2) Barriers to VB technology use, (3) Facilitators of VB technology, (4) Expectations of VB technology management in T1D, (5) Role of healthcare professionals in implementing VB technology for T1D. Most participants expressed a favourable view of voice technology for diabetes distress management. Trust in technology and healthcare professionals emerged as the predominant sentiment, with participants' current device type impacting anticipated barriers to adopting new technologies.

CONCLUSION

The results highlighted positive participant views towards VB technology. Device use, previous experience and health professional endorsement were influential facilitators of novel VB digital health solutions. Further research involving younger people with T1D could further contribute to the successful development of these tools.

TRIAL REGISTRATION NUMBER

ClinicalTrials.gov, NCT05517772.

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

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

Correlation Analysis of Hypoglycemic Fear and Psychological Well-Being and Family Support Function in Older Adults Diabetic Patients

Background

Aging diabetic patients have an increased incidence of hypoglycemia due to long disease history, multiple medications, and other factors. The higher the frequency of hypoglycemia, the greater the fear of it, and the heavier the psychological burden. This fear can have a significant negative impact on the patient's personal psychological distress related to the disease, self-care, and the quality of life of other family members. Therefore, analyzing the factors contributing to the fear of hypoglycemia is crucial for finding effective ways to overcome them.

Objective

To analyze the correlation between hypoglycemic fear (FOH), psychological well-being, and family support function in older adults patients with diabetes mellitus (DM).

Methods

Seventy-eight older adults patients with DM were recruited from the community for the study. The Chinese version of the hypoglycemia fear survey scale (CHFSII-WS), WHO-5 happiness index scale and family support function scale were used to analyze the influencing factors of FOH in older adults DM patients to clarify the correlation between FOH, psychological well-being, and family support function.

Results

Low academic qualification, long course of disease, the frequency of hypoglycemia episodes > 2 in the last one year were the risk factor for FOH in older adults DM patients, and hypoglycemia prevention education, psychological well-being and family support function were protective factors. Family support function had a mediating effect.

Conclusion

Older adults patients with DM have higher levels of FOH, which has many influencing factors, and family support function has an obvious mediating effect between FOH and psychological well-being. High-intensity FOH can be improved by actively developing hypoglycemia prevention education for patients and caregivers and improving family support function and psychological well-being.

Perceived glucose levels matter more than CGM-based data in predicting diabetes distress in type 1 or type 2 diabetes: a precision mental health approach using n-of-1 analyses

AIMS/HYPOTHESIS

Diabetes distress is one of the most frequent mental health issues identified in people with type 1 and type 2 diabetes. Little is known about the role of glucose control as a potential contributor to diabetes distress and whether the subjective perception of glucose control or the objective glycaemic parameters are more important for the experience. With the emergence of continuous glucose monitoring (CGM), this is a relevant question as glucose values are now visible in real-time. We employed a precision monitoring approach to analyse the independent associations of perceived and measured glucose control with diabetes distress on a daily basis. By using n-of-1 analyses, we aimed to identify individual contributors to diabetes distress per person and analyse the associations of these individual contributors with mental health at a 3 month follow-up.

METHODS

In this prospective, observational study, perceived (hypoglycaemia/hyperglycaemia/glucose variability burden) and measured glucose control (time in hypoglycaemia and hyperglycaemia, CV) were assessed daily for 17 days using an ecological momentary assessment (EMA) approach with a special EMA app and CGM, respectively. Mixed-effect regression analysis was performed, with daily diabetes distress as the dependent variable and daily perceived and CGM-measured metrics of glucose control as random factors. Individual regression coefficients of daily distress with perceived and CGM-measured metrics were correlated with levels of psychosocial well-being at a 3 month follow-up.

RESULTS

Data from 379 participants were analysed (50.9% type 1 diabetes; 49.6% female). Perceived glucose variability (t=14.360; p<0.0001) and perceived hyperglycaemia (t=13.637; p<0.0001) were the strongest predictors of daily diabetes distress, while CGM-based glucose variability was not significantly associated (t=1.070; p=0.285). There was great heterogeneity between individuals in the associations of perceived and measured glucose parameters with diabetes distress. Individuals with a stronger association between perceived glucose control and daily distress had more depressive symptoms (β=0.32), diabetes distress (β=0.39) and hypoglycaemia fear (β=0.34) at follow-up (all p<0.001). Individuals with a stronger association between CGM-measured glucose control and daily distress had higher levels of psychosocial well-being at follow-up (depressive symptoms: β=-0.31; diabetes distress: β=-0.33; hypoglycaemia fear: β=-0.27; all p<0.001) but also higher HbA1c (β=0.12; p<0.05).

CONCLUSIONS/INTERPRETATION

Overall, subjective perceptions of glucose seem to be more influential on diabetes distress than objective CGM parameters of glycaemic control. N-of-1 analyses showed that CGM-measured and perceived glucose control had differential associations with diabetes distress and psychosocial well-being 3 months later. The results highlight the need to understand the individual drivers of diabetes distress to develop personalised interventions within a precision mental health approach.

Concept and Implementation of a Novel Continuous Glucose Monitoring Solution With Glucose Predictions on Board

The recently CE-marked continuous real-time glucose monitoring (rtCGM) solution Accu-Chek® (AC) SmartGuide Solution was developed to enable people with diabetes mellitus (DM) to proactively control their glucose levels using predictive technologies. The comprehensive solution consists of three components that harmonize well with each other. The CGM device is composed of a sensor applicator and a glucose sensor patch whose data are transferred to the connected smartphone by Bluetooth® Low Energy. The user interface of the CGM solution is powered by the AC SmartGuide app delivering current and past glucose metrics, and the AC SmartGuide Predict app providing a glucose prediction suite enabled by artificial intelligence (AI). This article describes the innovative CGM solution.

Fear of Hypoglycemia and Diabetes Distress: Expected Reduction by Glucose Prediction

BACKGROUND

Extended glucose predictions are novel in diabetes management. Currently, there is no solution widely available. People with diabetes mellitus (DM) are offered features like trend arrows and limited predictions linked to predefined situations. Thus, the impact of extended glucose predictions on the burden of diabetes and person-reported outcomes (PROs) is unclear.

METHODS

In this online survey, 206 people with type 1 and type 2 diabetes (T1D and T2D), 70.9% and 29.1%, respectively, who participated in the dia·link online panel and were current continuous glucose monitoring (CGM) users, were presented with different scenarios of hypothetical extended glucose predictions. They were asked to imagine how low glucose predictions of 30 minutes and overnight as well as glucose predictions up to 2 hours would influence their diabetes management. Subsequently, they completed the Hypoglycemia Fear Survey II (HFS-II) and the T1 Diabetes Distress Scale (T1-DDS) by rating each item on a 5-point scale (-2: strong deterioration to +2: strong improvement) according to the potential change due to using glucose predictions.

RESULTS

For all glucose prediction periods, 30 minutes, up to 2 hours, and at nighttime, the surveyed participants expected moderate improvements in both fear of hypoglycemia (HFS-II: 0.57 ± 0.49) and overall diabetes distress (T1-DDS = 0.44 ± 0.49). The T1-DDS did not differ for type of therapy or diabetes.

CONCLUSIONS

People with T1D and T2D would see glucose predictions as a potential improvement regarding reduced fear of hypoglycemia and diabetes distress. Therefore, glucose predictions represent a value for them in lowering the burden of diabetes and its management.

Unmet needs in the treatment of type 1 diabetes: why is it so difficult to achieve an improvement in metabolic control?

The development of advanced diabetes technology has permitted persons with type 1 diabetes mellitus to improve metabolic control significantly, particularly with the development of advanced hybrid closed-loop systems which have improved the quality of life by reducing hypoglycemia, decreasing macroangiopathy and microangiopathy-related complications, ameliorating HbA1c and improving glycemic variability. Despite the progression made over the past few decades, there is still significant margin for improvement to be made in terms of attaining appropriate metabolic control. Various factors are responsible for poor glycemic control including inappropriate carbohydrate counting, repeated bouts of hypoglycemia, hypoglycemia unawareness, cutaneous manifestations due to localized insulin use and prolonged use of diabetes technology, psychosocial comorbidities such as eating disorders or 'diabulimia', the coexistence of insulin resistance among people with type 1 diabetes and the inability to mirror physiological endogenous pancreatic insulin secretion appropriately. Hence, the aim of this review is to highlight and overcome the barriers in attaining appropriate metabolic control among people with type 1 diabetes by driving research into adjunctive treatment for coexistent insulin resistance and developing new advanced diabetic technologies to preserve β cell function and mirror as much as possible endogenous pancreatic functions.

Towards the standardisation of adult person-reported outcome domains in diabetes research: A Consensus Statement development panel

Diabetes is unique among chronic diseases because clinical outcomes are intimately tied to how the person living with diabetes reacts to and implements treatment recommendations. It is further characterised by widespread social stigma, judgement and paternalism. This physical, social and psychological burden collectively influences self-management behaviours. It is widely recognised that the individual's perspective about the impact of trying to manage the disease and the burden that self-management confers must be addressed to achieve optimal health outcomes. Standardised, rigorous assessment of mental and behavioural health status, in interaction with physical health outcomes is crucial to aid understanding of person-reported outcomes (PROs). Whilst tempting to conceptualise PROs as an issue of perceived quality of life (QoL), in fact health-related QoL is multi-dimensional and covers indicators of physical or functional health status, psychological and social well-being. This complexity is illuminated by the large number of person reported outcome measures (PROMs) that have been developed across multiple psychosocial domains. Often measures are used inappropriately or because they have been used in the scientific literature rather than based on methodological or outcome assessment rigour. Given the broad nature of psychosocial functioning/mental health, it is important to broadly define PROs that are evaluated in the context of therapeutic interventions, real-life and observational studies. This report summarises the central themes and lessons derived in the assessment and use of PROMs amongst adults with diabetes. Effective assessment of PROMs routinely in clinical research is crucial to understanding the true impact of any intervention. Selecting appropriate measures, relevant to the specific factors of PROs important in the research study will provide valuable data alongside physical health data.

Identifying the deficiencies of currently available CGM to improve uptake and benefit

BACKGROUND AND AIMS

The use of diabetes technologies is increasing worldwide, with health systems facilitating improved access to devices. Continuous glucose monitoring is a complex intervention that provides information on glucose concentration, rate and direction of change, historical data and alerts and alarms for extremes of glucose. These data do not themselves change glycaemia and require translation to a meaningful action for impact. It is, therefore, crucial that such systems advance to better meet the needs of individuals using them.

METHODS

Narrative review of the use of, engagement with, limitations and unmet needs of continuous glucose monitoring systems.

RESULTS

CGM devices have made a significant contribution to the self-management of diabetes; however, challenges with access and user experience persist, with multiple limitations to uptake and benefit. These limitations include physical size and implementation, with associated stigma, alarm fatigue, sleep disturbance and the challenge of addressing large volumes of real-time data. Greater personalisation throughout the continuous glucose monitoring journey, with a focus on usability, may improve the benefits derived from the device and reduce the burden of self-management. Healthcare professionals may have unconscious biases that affect the provision of continuous glucose monitors due to deprivation, education, age, ethnicity and other characteristics.

CONCLUSIONS

Continuous glucose monitoring exerts a dose-dependent response; the more it is used, the more effective it is. For optimal use, continuous glucose monitors must not just reduce the burden of management in one dimension but facilitate net improvement in all domains of self-management for all users.

SPIRIT: Assessing Clinical Parameters Associated with Using IDegLira in Patients with Type 2 Diabetes in a Real-World Setting in Colombia

INTRODUCTION

Insulin degludec/liraglutide (IDegLira) is a fixed-ratio combination of insulin degludec (a basal insulin) and liraglutide (a glucagon-like peptide-1 receptor agonist [GLP-1RA]). This study aimed to investigate clinical outcomes in people with type 2 diabetes mellitus (T2DM) after initiating IDegLira treatment in a real-world setting in Colombia.

METHODS

SPIRIT is a non-interventional, single-arm, retrospective chart review study to assess clinical outcomes in people with T2DM. Participating patients were switched from a treatment regimen of basal insulin (with or without oral antidiabetics [OADs]) and started on treatment with IDegLira a minimum of 26 ± 6 weeks before the data collection start date. Data were collected from the medical records of 175 patients in ten clinical centers across Colombia.

RESULTS

Compared with baseline, there was a significant reduction in glycated hemoglobin (HbA1c) (1.3%; 95% confidence interval [CI] - 1.6 to - 1.0; p < 0.0001) after 26 ± 6 weeks of follow-up. The mean HbA1c at baseline and at the end of the study was 9.1% and 7.8%, respectively. In addition, IDegLira significantly reduced absolute body weight by 1 kg (95% CI - 1.5 to - 0.5; p < 0.0001), from a mean of 76.1 kg at baseline to 75.1 kg after follow-up. The mean IDegLira dose at the end of the study was 21.3 U, and no severe hypoglycemic events were observed during the follow-up period.

CONCLUSION

In real-world practice, initiating IDegLira in patients with T2DM previously treated with basal insulin (± OAD) was associated with improved glycemic control, reduced body weight and reduced risk of hypoglycemia.

TRIAL REGISTRATION

ClinicalTrials.gov identifier: NCT05324462.

Glycemic variability through the perspective of the glycemia risk index and time in range and their association with glycated hemoglobin A1c in pediatric patients on sensor-augmented pump therapy

Introduction

From the introduction of continuous glucose monitoring (CGM) in treatments of type 1 diabetes, particularly its integration with insulin pumps, there has been a quest for new parameters that describe optimal glycemic control. As of the consensus reached in 2019, the ambulatory glucose profile (AGP) has become the standard, with time in range (TIR) emerging as a fundamental parameter for metabolic control assessment. However, with technological advancements, new parameters, such as the glycemia risk index (GRI), have been introduced and clinically utilized. Therefore, exploring the relationships between traditional and novel parameters to understand metabolic control comprehensively is imperative.

Materials and methods

This study was conducted at the Pediatric Clinic of the University Hospital of the Republic of Srpska Banja Luka between January and July 2023. The participants were randomly selected, with the inclusion criteria specifying an age greater than eight years and a diabetes type 1 duration exceeding two years. All participants were required to use a sensor-augmented insulin pump for the next three months (90 days), irrespective of prior use, with the suspend-before-low option activated.

Results

Of the 35 participants, 30 completed the study, 14 (46.7%) of whom were male. The mean age of the subjects was 14.90 ± 2.88 years, and the mean duration of diabetes was 7.83 ± 4.76 years. Over the 90-day period, HbA1c increased to an average of 7.31%. The analysis revealed significant effects of TIR (β=-0.771) and GRI (β=0.651) on HbA1c. Furthermore, GRI and TIR strongly correlated (β=-0.953).

Discussion and conclusion

New parameters generated from the ambulatory glucose profile (AGP) can help clinicians create a complete picture of a patient's metabolic control in relation to HbA1c levels. Additionally, the GRI is a mathematically tailored parameter that incorporates all components of the ambulatory glucose profile and demonstrates strong correlations with laboratory-measured HbA1c and TIR. The GRI potentially can become a valuable statistical parameter for evaluating and managing patients in routine clinical practice.

MDI versus CSII in Chinese adults with type 1 diabetes in a real-world situation: based on propensity score matching method

BACKGROUND

Compared with multiple daily insulin injections (MDI), continuous subcutaneous insulin infusion (CSII) is significantly more expensive and has not been widely used in Chinese type 1 diabetes mellitus (T1DM) patients. So there are still significant knowledge gaps regarding clinical and patient-reported outcomes in China.

AIMS

This study aims to compare the glycated hemoglobin (HbA1C), insulin therapy related quality of life (ITR-QOL), fear of hypoglycemia (FOH) of adult T1DM patients treated with MDI and CSII based on propensity score matching in real-world conditions in China.

METHODS

Four hundred twenty adult T1DM patients who were treated with MDI or CSII continuously for more than 12 months in a national metabolic center from June 2021 to June 2023 were selected as the study subjects. Their QOL and FOH were evaluated with Insulin Therapy Related Quality of Life Measure Questionnaire-Chinese version (ITR-QOL-CV) and the Chinese Version Hypoglycemia Fear Survey-Worry Scale (CHFSII-WS), and their HbA1C were collected at the same time. Potential confounding variables between the two groups were matched using propensity score matching.

RESULTS

Of the 420 patients included in the study, 315 were in MDI group and 105 were in CSII group. 102 pairs were successfully matched. After matching, the total score of ITR-QOL-CV scale in CSII group was significantly higher than that in MDI group (87.08 ± 13.53 vs. 80.66 ± 19.25, P = 0.006). Among them, the dimensions of daily life, social life, and psychological state were all statistically different (P < 0.05). The scores of CHFSII-WS (8.33 ± 3.49 vs. 11.77 ± 5.27, P = 0.003) and HbA1C (7.19 ± 1.33% vs. 7.71 ± 1.93%, P = 0.045) in CSII group were lower than those in MDI group.

CONCLUSIONS

25.0% of T1DM adults are treated with CSII. Compared with adult T1DM patients treated with MDI, those treated with CSII have higher ITR-QOL, less FoH, and better control of HbA1C in real-world conditions in China. Therefore, regardless of economic factors, CSII is recommended for adult T1DM patients to optimize the therapeutic effect and outcomes.

Characterization of tirzepatide-treated patients achieving different glycemic control levels in SURPASS-AP-Combo

OBJECTIVE

The study objective was to characterize subgroups of Asia-Pacific patients with type 2 diabetes who achieved different glycated hemoglobin (HbA1c) targets on tirzepatide treatment.

METHODS

This was a post hoc analysis of the SURPASS AP-Combo study. Baseline characteristics, changes in metabolic markers, and safety were compared between tirzepatide-treated patients achieving HbA1c <7.0% (<53 mmol/mol) and those achieving ≥7.0% (≥53 mmol/mol) at week 40. Among patients achieving HbA1c <7.0% (<53 mmol/mol), further comparisons were conducted among subgroups achieving HbA1c <5.7% (<39 mmol/mol), 5.7% to 6.5% (39 to 48 mmol/mol), and >6.5% to <7.0% (>48 to <53 mmol/mol).

RESULTS

Five hundred ninety-eight patients on tirzepatide treatment without rescue medication were included (56.9% male; mean age: 53.1 years; mean baseline HbA1c: 8.7% [71.6 mmol/mol]). Patients achieving HbA1c <7.0% (<53 mmol/mol) versus ≥7.0% (≥53 mmol/mol) were slightly younger with a shorter disease duration and lower HbA1c at baseline, and they had greater improvements in HbA1c, fasting serum glucose, body weight, BMI, waist circumference, waist-height ratio, diastolic blood pressure, lipids, and self-monitored blood glucose at week 40. Patients achieving HbA1c <5.7% (<39 mmol/mol) versus those achieving 5.7% to 6.5% (39 to 48 mmol/mol) and those achieving >6.5% to <7.0% (>48 to <53 mmol/mol) were much younger, had much lower HbA1c, and had further improvements in metabolic markers. Tirzepatide treatment was well tolerated irrespective of the HbA1c level achieved, with a low incidence of hypoglycemic events.

CONCLUSIONS

These findings may help to inform clinical decisions in Asia-Pacific patients with type 2 diabetes.

The Basis for Weekly Insulin Therapy: Evolving Evidence With Insulin Icodec and Insulin Efsitora Alfa

Basal insulin continues to be a vital part of therapy for many people with diabetes. First attempts to prolong the duration of insulin formulations were through the development of suspensions that required homogenization prior to injection. These insulins, which required once- or twice-daily injections, introduced wide variations in insulin exposure contributing to unpredictable effects on glycemia. Advances over the last 2 decades have resulted in long-acting, soluble basal insulin analogues with prolonged and less variable pharmacokinetic exposure, improving their efficacy and safety, notably by reducing nocturnal hypoglycemia. However, adherence and persistence with once-daily basal insulin treatment remains low for many reasons including hypoglycemia concerns and treatment burden. A soluble basal insulin with a longer and flatter exposure profile could reduce pharmacodynamic variability, potentially reducing hypoglycemia, have similar efficacy to once-daily basal insulins, simplify dosing regimens, and improve treatment adherence. Insulin icodec (Novo Nordisk) and insulin efsitora alfa (basal insulin Fc [BIF], Eli Lilly and Company) are 2 such insulins designed for once-weekly administration, which have the potential to provide a further advance in basal insulin replacement. Icodec and efsitora phase 2 clinical trials, as well as data from the phase 3 icodec program indicate that once-weekly insulins provide comparable glycemic control to once-daily analogues, with a similar risk of hypoglycemia. This manuscript details the technology used in the development of once-weekly basal insulins. It highlights the clinical rationale and potential benefits of these weekly insulins while also discussing the limitations and challenges these molecules could pose in clinical practice.

Continuous Glucose Monitoring Alarms in Adults with Type 1 Diabetes: User Characteristics and the Impact of Hypoglycemia and Hyperglycemia Alarm Thresholds on Glycemic Control

Background: Few studies have evaluated the implications of the alarm thresholds of continuous glucose monitoring (CGM) systems for individuals with diabetes. The present study aimed to investigate the influence of hypoglycemia and hyperglycemia alarm thresholds on glycemic control in adults with type 1 diabetes (T1DM) and the characteristics of patients who use these alarms more frequently. Methods: This observational cross-sectional study included 873 users of the FreeStyle Libre 2 system (501 men, median age 48 years, range 18-90 years) with T1DM from a single center. We investigated the role of demographic and metabolic factors on the use of alarms and the impact of hypoglycemia and hyperglycemia alarms and their thresholds on glycemic control. Results: Alarm users were older than nonusers (median age 49 vs. 43 years, respectively; P < 0.001). The hypoglycemia alarms were set by 76.1% of women and by 69.1% of men (P = 0.022). The hypoglycemia alarms reduced hypoglycemia features and glucose variability, although at the expense of shorter time in range. The higher the hypoglycemia alarm threshold, the greater these effects. The hyperglycemia alarms were effective in reducing hyperglycemia and lowering the glucose management indicator, although at the expense of a greater tendency to hypoglycemia. The lower the hyperglycemia alarm threshold, the greater these effects. Conclusions: CGM alarms contribute to better glycemic control. However, hypoglycemia and hyperglycemia alarms have advantages and disadvantages. Adults with T1DM should explore, under medical supervision, which alarm thresholds will best help them achieve their individual glycemic goals.

Prioritizing Patient Experiences in the Management of Diabetes and Its Complications: An Endocrine Society Position Statement

Diabetes can be an arduous journey both for people with diabetes (PWD) and their caregivers. While the journey of every person with diabetes is unique, common themes emerge in managing this disease. To date, the experiences of PWD have not been fully considered to successfully implement the recommended standards of diabetes care in practice. It is critical for health-care providers (HCPs) to recognize perspectives of PWD to achieve optimal health outcomes. Further, existing tools are available to facilitate patient-centered care but are often underused. This statement summarizes findings from multistakeholder expert roundtable discussions hosted by the Endocrine Society that aimed to identify existing gaps in the management of diabetes and its complications and to identify tools needed to empower HCPs and PWD to address their many challenges. The roundtables included delegates from professional societies, governmental organizations, patient advocacy organizations, and social enterprises committed to making life better for PWD. Each section begins with a clinical scenario that serves as a framework to achieve desired health outcomes and includes a discussion of resources for HCPs to deliver patient-centered care in clinical practice. As diabetes management evolves, achieving this goal will also require the development of new tools to help guide HCPs in supporting PWD, as well as concrete strategies for the efficient uptake of these tools in clinical practice to minimize provider burden. Importantly, coordination among various stakeholders including PWD, HCPs, caregivers, policymakers, and payers is critical at all stages of the patient journey.

Hypoglycaemic confidence levels and experiences related to the hypoglycaemia of patients with diabetes: A mixed methods study

AIMS

This study had three aims: to determine the hypoglycaemic confidence levels of participants, to identify factors affecting hypoglycaemic confidence levels of participants and to assess experiences related to hypoglycaemia of participants.

DESIGN

The explanatory-sequential-mixed method was used in this study.

METHODS

The quantitative stage included a sample of 177 people, and the qualitative stage included a sample of 18 people. Data of the study were collected between April and June 2023 with the Hypoglycemic Confidence Level Scale, Personal Information Form and Semi-Structured Interview Form. Descriptive statistics, independent samples t-test, one-way ANOVA and multiple linear regression analysis were used for quantitative data analysis. For the qualitative data analysis, content analysis was performed in the MaxQda program.

RESULTS

The scale items are scored between 1 and 4, and an increase in the score obtained from the scale indicates an increase in confidence levels. The mean hypoglycaemic confidence level score of the participants was 3. The data obtained in the qualitative stage were grouped under three main themes: Experiences Related to Hypoglycaemia, Reasons for Experiencing Hypoglycaemia and Managing Hypoglycaemia.

CONCLUSION

Identifying hypoglycaemic confidence levels and hypoglycaemia experiences of patients with diabetes can guide health professionals, especially nurses, in promoting person-centred care interventions.

IMPACT

The study discussed the hypoglycaemic confidence levels of diabetic patients and their experiences related to hypoglycaemia. The factors affecting the hypoglycaemic confidence level of the participants were educational status, income status, fear of experiencing hypoglycaemia, ability to self-administer insulin, receiving hypoglycaemia training and frequency of experiencing hypoglycaemia. The results of this study may provide guidance for the development of appropriate prevention and coping strategies for hypoglycaemia. Identifying the experiences of patients with diabetes with hypoglycaemia can guide health professionals, especially nurses, in promoting person-centred care interventions.

REPORTING METHOD

The Good Reporting of a Mixed Methods Study (GRAMMS) checklist was used for reporting.

PATIENT OR PUBLIC CONTRIBUTION

No patient or public contribution.

Effect of fear of hypoglycaemia on sleep quality of patients with type 2 mellitus diabetes: The mediating role of alexithymia

Background

Patients with type 2 diabetes mellitus (T2DM) commonly experience poor sleep quality. This study aimed to investigate whether alexithymia mediates the association between fear of hypoglycaemia (FoH) and sleep quality in patients with T2DM.

Methods

From September 2021 to November 2021, a cross-sectional survey was conducted on 407 patients with T2DM in China. Data collection was made possible through the administration of the Chinese Version of the Worry Scale, Toronto Alexithymia Scale and Chinese version of the Pittsburgh Sleep Quality Index (CPSQI). Multiple linear regression analyses were also performed.

Results

A total of 65.6% of the participants were male, and 75.7% were aged 18-40 years. FoH showed a moderate and positive correlation with CPSQI scores (r = 0.308, p < 0.001). Alexithymia was weakly and positively correlated with CPSQI scores (r = 0.185, p < 0.001). Meanwhile, FoH exhibited a moderate and positive correlation with alexithymia (r = 0.422, p < 0.001), and difficulty in identifying (r = 0.414, p < 0.001) and describing feelings (r = 0.416, p < 0.001) and a weak and positive correlation with externally oriented thinking (r = 0.221, p < 0.001). The total effect (β = 0.408, p < 0.001) of FoH on CPSQI comprised not only the direct (β = 0.293, 95% confidence interval: 0.174-0.411, p < 0.001) but also the indirect effect (β = 0.115, p < 0.001) of alexithymia.

Conclusions

Alexithymia can mediate the association between FoH and sleep quality. Clinicians should recognize the potential effect of alexithymia and incorporate it in intervention planning and care. Addressing the affective disturbances arising from FoH can enhance emotional expression and sleep quality among T2DM patients.

Double diabetes-when type 1 diabetes meets type 2 diabetes: definition, pathogenesis and recognition

Currently, the differentiation between type 1 diabetes (T1D) and type 2 diabetes (T2D) is not straightforward, and the features of both types of diabetes coexist in one subject. This situation triggered the need to discriminate so-called double diabetes (DD), hybrid diabetes or type 1.5 diabetes, which is generally described as the presence of the insulin resistance characteristic of metabolic syndrome in individuals diagnosed with T1D. DD not only raises the question of proper classification of diabetes but is also associated with a significantly greater risk of developing micro- and macroangiopathic complications, which was independent of glycaemic control. When considering the global obesity pandemic and increasing incidence of T1D, the prevalence of DD may also presumably increase. Therefore, it is of the highest priority to discover the mechanisms underlying the development of DD and to identify appropriate methods to prevent or treat DD. In this article, we describe how the definition of double diabetes has changed over the years and how it is currently defined. We discuss the accuracy of including metabolic syndrome in the DD definition. We also present possible hypotheses connecting insulin resistance with T1D and propose possible methods to identify individuals with double diabetes based on indirect insulin resistance markers, which are easily assessed in everyday clinical practice. Moreover, we discuss adjuvant therapy which may be considered in double diabetic patients.

Burden and Coping Strategies of Hypoglycemia in People with Diabetes

Hypoglycemia is a limiting adverse effect of glucose-lowering medications and particularly insulin replacement therapy. This review provides insights into the burden of hypoglycemia in the management of diabetes and outlines strategies available to reduce the risk of hypoglycemia and improve patients' well-being. People with type 1 diabetes are primarily affected by hypoglycemic episodes which are associated with direct physical harms like injuries and cardiac events as well as indirect psychosocial consequences including constant anxiety, absenteeism, increased healthcare costs and overall poorer quality of life. These complications are more prominent amongst individuals with hypoglycemia unawareness or overnight hypoglycemia and could even extend to caregivers such as parents of children with diabetes. Patients experiencing frequent or severe hypoglycemic events might also develop a pathological fear of hypoglycemia and adopt aberrant behaviors intending to maintain higher blood glucose levels. Modern pharmaceutical options with a safer profile in terms of hypoglycemia are available including novel basal insulins with lower rates of nocturnal hypoglycemia along with ultra-rapid-acting insulin analogs with a shorter duration of action that might avert late post-meal hypoglycemia. Continuous glucose monitoring and sensor-augmented insulin pump therapy with low glucose suspend technology can also prevent hypoglycemia, although concerns about cost and patient satisfaction remain. Advancements in insulin therapy and technological modalities should be coupled with ongoing education and support for patients to become co-managers of their disease and reduce the risk of hypoglycemia.

Latent Profile Analysis of Fear of Hypoglycemia in Middle-Aged and Elderly Hospitalized Patients with Type 2 Diabetes and Its Relationship with Sleep Quality

Introduction

Hypoglycemia is an acute complication that can appear in people with type 2 diabetes treated with drugs which are associated with a risk of hypoglycemia, and it may lead to individual's fear of hypoglycemia (FoH). FoH adversely affects diabetic self-management, psychological well-being, and quality of life, and it is associated with sleep quality. Nevertheless, this problem is often underestimated. The purpose of this study was to explore the heterogeneous characteristics of FoH in middle-aged and elderly hospitalized patients with type 2 diabetes and assess its relationship with the sleeping quality.

Patients and Methods

A cross-sectional study was performed on 263 middle-aged and elderly patients with type 2 diabetes hospitalized at the Zhejiang Veteran Hospital in Jiaxing, China, from May to August 2022, selected by a convenient sampling method. A questionnaire containing general information, fear of hypoglycemia scale-15 (FH-15) and the Pittsburgh sleep quality index (PSQI) was provided to the participants. Latent profile analysis was performed to examine the potential latent groups in the distribution of answers on the individual FoH items.

Results

The results identified three latent classes: Class 1 - Low FoH group (33%); Class 2 - No FoH group (61%); Class 3 - High FoH group (6%). The latent FoH class was the influencing factor of sleep quality, which was better in the No FoH group than in the Low FoH group, while the sleep quality of the Low FoH group was better than that in the High FoH group.

Conclusion

A heterogeneity was found in the FoH of middle-aged and elderly hospitalized patients with type 2 diabetes. Health-care providers should pay more attention to these patients with high FoH and develop intervention strategies to mitigate it and improve their sleep quality.

The Current Place of DPP4 Inhibitors in the Evolving Landscape of Type 2 Diabetes Management: Is It Time to Bid Adieu?

During the last decade, the landscape of type 2 diabetes (T2D) management has been completely transformed, moving from a glucose-centric perspective to a holistic approach that also takes into account weight control and organ protection. Dipeptidyl peptidase-4 inhibitors (DPP4i) are oral agents that have been used for the treatment of T2D for almost 20 years. Although they present an excellent safety profile, including the risk of hypoglycemia, they lack the spectacular cardiorenal benefits and weight-loss effects of the newer antidiabetic agents. This poses the question of whether they still deserve a place in the arsenal of drugs against T2D. In this article, we use a hypothetical case scenario to illustrate possible patient profiles where DPP4i could prove useful in the clinical setting. We discuss the advantages and disadvantages of the category, focusing on glycemic control, weight management, and cardiorenal protection, which are the pillars of modern T2D management, also considering its safety profile and cost-effectiveness. We conclude that in most cases, DPP4i present a more favorable risk-benefit ratio compared to sulfonylureas, which are still widely prescribed throughout the world. We also suggest that future research should clarify the reasons behind the contradictory findings between human and animal studies on cardiorenal effects of the class and identify subgroups of patients who would derive most benefit with DPP4i treatment.

Hybrid closed-loop systems can help patients with extreme fear of hypoglycemia or hyperglycemia

Fear of hypoglycemia and hyperglycemia can lead to inappropriate diabetes self-management and untoward health outcomes. We report two patients, representative of these opposite conditions, who benefited from hybrid closed-loop technology. In the patient with fear of hypoglycemia, time in range improved from 26 to 56% and the patient did not present with severe hypoglycemia. Meanwhile, the patient with hyperglycemia aversiveness had a drastic reduction in time below range, from 19 to 4%. We conclude that hybrid closed-loop technology was an effective tool for improvement of glucose values in two patients with fear of hypoglycemia and hyperglycemia aversiveness, respectively.

Prevalence and contributing factors of impaired awareness of hypoglycemia in patients with type 2 diabetes: a meta-analysis

AIMS

To conduct a systematic review to summarize the definition, measurement tools, prevalence, and contributing factors of impaired awareness of hypoglycemia (IAH) in type 2 diabetes mellitus (T2DM).

METHODS

A reproducible search strategy was used to identify factors affecting IAH in T2DM in PubMed, MEDLINE, EMBASE, Cochrane, PsycINFO, and CINAHL from inception until 2022. Literature screening, quality evaluation, and information extraction were performed independently by 2 investigators. A meta-analysis of prevalence was performed using Stata 17.0.

RESULTS

The pooled prevalence of IAH in patients with T2DM was 22% (95%CI:14-29%). Measurement tools included the Gold score, Clarke's questionnaire, and the Pedersen-Bjergaard scale. IAH in T2DM was associated with sociodemographic factors (age, BMI, ethnicity, marital status, education level, and type of pharmacy patients visited), clinical disease factors (disease duration, HbAlc, complications, insulin therapy regimen, sulfonylureas use, and the frequency and severity of hypoglycemia), and behavior and lifestyle (smoking and medication adherence).

CONCLUSION

The study found a high prevalence of IAH in T2DM, with an increased risk of severe hypoglycemia, suggesting that medical workers should take targeted measures to address sociodemographic factors, clinical disease, and behavior and lifestyle to reduce IAH in T2DM and thus reduce hypoglycemia in patients.

Effect of diabetes technologies on the fear of hypoglycaemia among people living with type 1 diabetes: a systematic review and meta-analysis

Background

Fear of hypoglycaemia (FOH) significantly disrupts the daily management of type 1 diabetes (T1D) and increases the risk of complications. Recent technological advances can improve glucose metrics and reduce hypoglycaemia frequency, yet their impact on FOH is unclear. This systematic review and meta-analysis (SRMA) aimed to synthesize the current literature to understand the impact of diabetes technologies on FOH in T1D.

Methods

In this SRMA, we searched PubMed, Medline, Scopus, and Web of Science from inception up to May 21st, 2023 for studies assessing the effect of using real-time or intermittently scanned continuous glucose monitors (rtCGM or isCGM); insulin pumps (CSII); and their combinations on FOH as the primary outcome, measured using the Hypoglycaemia Fear Survey (HFS; including total, worries [HFS-W], and behaviours [HFS-B] scores), in non-pregnant adults with T1D. Data was extracted by the first and second authors. Results were pooled using a random-effects model based on study design (RCT and non-RCT), with subgroup analysis based on the type of technology, reported change in hypoglycaemia frequency, and duration of use. Risk of bias was evaluated with Cochrane and Joanna Briggs Institute tools. This study is registered with PROSPERO, CRD42021253618.

Findings

A total of 51 studies (n = 8966) were included, 22 of which were RCTs. Studies on rtCGM and CSII reported lower FOH levels with ≥8 weeks of use. Studies on CSII and rtCGM combinations reported lower FOH levels after ≥13 weeks of automated insulin delivery (AID) use or 26 weeks of sensor-augmented pump (SAP) use. The meta-analysis showed an overall lower FOH with technologies, specifically for the HFS-W subscale. The RCT meta-analysis showed lower HFS-W scores with rtCGM use (standard mean difference [95%CI]: -0.14 [-0.23, -0.05], I2 = 0%) and AID (-0.17 [-0.33, -0.01], I2 = 0%). Results from non-RCT studies show that SAP users (-0.33 [-0.38, -0.27], I2 = 0%) and rtCGM users (-0.38 [-0.61, -0.14], I2 = 0%) had lower HFS-W.

Interpretation

We found consistent, yet small to moderate, effects supporting that diabetes technologies (specifically rtCGM, SAP, and AID) may reduce hypoglycaemia-related worries in adults with T1D. Current literature, however, has limitations including discrepancies in baseline characteristics and limited, mainly descriptive, statistical analysis. Thus, future studies should assess FOH as a primary outcome, use validated surveys, and appropriate statistical analysis to evaluate the clinical impacts of technology use beyond just glucose metrics.

Funding

Canadian Institutes of Health Research, Juvenile Diabetes Research Foundation Ltd.

Longitudinal Studies of Wearables in Patients with Diabetes: Key Issues and Solutions

Glucose monitoring is key to the management of diabetes mellitus to maintain optimal glucose control whilst avoiding hypoglycemia. Non-invasive continuous glucose monitoring techniques have evolved considerably to replace finger prick testing, but still require sensor insertion. Physiological variables, such as heart rate and pulse pressure, change with blood glucose, especially during hypoglycemia, and could be used to predict hypoglycemia. To validate this approach, clinical studies that contemporaneously acquire physiological and continuous glucose variables are required. In this work, we provide insights from a clinical study undertaken to study the relationship between physiological variables obtained from a number of wearables and glucose levels. The clinical study included three screening tests to assess neuropathy and acquired data using wearable devices from 60 participants for four days. We highlight the challenges and provide recommendations to mitigate issues that may impact the validity of data capture to enable a valid interpretation of the outcomes.

The relationship between components of hypoglycemia worries and avoiding hypoglycemia behavior in type 2 diabetes mellitus with hypoglycemia: a network analysis

BACKGROUND

The fear of hypoglycemia in type 2 diabetes mellitus (T2DM) patients with hypoglycemia has seriously affected their quality of life. They are always afraid of hypoglycemia and often take excessive action to avoid it. Yet, researchers have investigated the relationship between hypoglycemia worries and excessive avoiding hypoglycemia behavior using total scores on self-report measures. However, network analysis studies of hypoglycemia worries and excessive avoiding hypoglycemia behavior in T2DM patients with hypoglycemia are lacking.

PURPOSE

The present study investigated the network structure of hypoglycemia worries and avoiding hypoglycemia behavior in T2DM patients with hypoglycemia and aimed to identify bridge items to help them correctly treat hypoglycemia and properly deal with hypoglycemia fear.

METHODS

A total of 283 T2DM patients with hypoglycemia were enrolled in our study. Hypoglycemia worries and avoiding hypoglycemia behavior were evaluated with the Hypoglycemia Fear Scale. Network analyses were used for the statistical analysis.

RESULTS

B9 "Had to stay at home for fear of hypoglycemia" and W12 "I am worried that hypoglycemia will affect my judgment" have the highest expected influences in the present network. In the community of hypoglycemia worries, W17 "I worry about hypoglycemia during sleep" has the highest bridge expected influence. And in the community of avoiding hypoglycemia behavior, B9 "Had to stay at home for fear of hypoglycemia" has the highest bridge expected influence.

CONCLUSION

Complex patterns of associations existed in the relationship between hypoglycemia worries and avoiding hypoglycemia behavior in T2DM patients with hypoglycemia. From the perspective of network analysis, B9 "Had to stay at home for fear of hypoglycemia" and W12 "I am worried that hypoglycemia will affect my judgment" have the highest expected influence, indicating their highest importance in the network. W17 "I worry about hypoglycemia during sleep" aspect of hypoglycemia worries and B9 "Had to stay at home for fear of hypoglycemia" aspect of avoiding hypoglycemia behavior have the highest bridge expected influence, indicating they have the strongest connections with each community. These results have important implications for clinical practice, which provided potential targets for interventions to reduce hypoglycemia fear and improve the quality of life in T2DM patients with hypoglycemia.

Effectiveness of educational and behavioural interventions for reducing fear of hypoglycaemia among adults with type 1 diabetes: Systematic review and meta-analyses

AIMS

To summarize and critically appraise evidence regarding the effectiveness of educational and/or behavioural interventions in reducing fear of hypoglycaemia among adults with type 1 diabetes.

METHODS

Systematic searches of medical and psychology databases were conducted. Risk-of-bias was assessed using the Joanna Briggs Institute Critical Appraisal Tools. Data were synthesized using random-effects meta-analyses for randomized controlled trials (RCTs) and narrative synthesis for observational studies.

RESULTS

Five RCTs (N = 682) and seven observational studies (N = 1519) met the inclusion criteria, reporting on behavioural, structured education and cognitive-behavioural therapy (CBT) interventions. Most studies assessed fear of hypoglycaemia using the Hypoglycaemia Fear Survey Worry (HFS-W) and Behaviour (HFS-B) subscales. Mean fear of hypoglycaemia at baseline was relatively low across studies. Meta-analyses showed a significant effect of interventions on HFS-W (SMD = -0.17, p = 0.032) but not on HFS-B scores (SMD = -0.34, p = 0.113). Across RCTs, Blood Glucose Awareness Training (BGAT) had the largest effect on HFS-W and HFS-B scores, and one CBT-based program was as effective as BGAT in reducing HFS-B scores. Observational studies showed that Dose Adjustment for Normal Eating (DAFNE) was associated with significant fear of hypoglycaemia reductions.

CONCLUSIONS

Current evidence suggests that educational and behavioural interventions can reduce fear of hypoglycaemia. However, no study to date has examined these interventions among people with high fear of hypoglycaemia.

From Zero to Hero: Type 2 Diabetes Mellitus Patients Hike on the Way of St. James-A Feasibility Study with Analyses of Patients' Quality of Life, Diabetes Distress and Glucose Profile

This study investigates the feasibility of an accompanied 5-day hiking tour (Way of St. James) for type 2 diabetes mellitus (T2DM) patients and its impact on their quality of life/well-being, diabetes distress and glucose profile. Twenty-three T2DM patients (with and without insulin therapy) participated in the study. The 120 km pilgrimage (from Ferrol to Santiago de Compostela, Spain) was accompanied by three physicians, two diabetes counselors and one sports scientist. Quality of life/well-being was assessed by the World Health Organization’s (WHO)-5 questionnaire, and diabetes distress was evaluated based on the Problem Areas in Diabetes (PAID) scale. The glucose levels of six insulin-treated patients were measured using continuous glucose monitoring (CGM) devices, considering that insulin-treated patients can be at increased risk of exercise-induced hypoglycemia. A significant improvement in quality of life/well-being was reported (p < 0.001), while diabetes distress did not change significantly (p = 0.203). Only two of the six insulin-treated patients showed moderate hypoglycemic episodes between 0.97% and 5.21% time below range per day, with glucose levels between 53−70 mg/dL. Hiking tours such as the one organized for this study can improve quality of life/well-being without increasing diabetes distress and are considered relatively safe for T2DM patients, even for those being treated with insulin.

Prevention of hypoglycemia by intermittent-scanning continuous glucose monitoring device combined with structured education in patients with type 1 diabetes mellitus: A randomized, crossover trial

AIMS

We conducted a randomized, crossover trial to compare intermittent-scanning continuous glucose monitoring (isCGM) device with structured education (Intervention) to self-monitoring of blood glucose (SMBG) (Control) in the reduction of time below range.

METHODS

This crossover trial involved 104 adults with type 1 diabetes mellitus (T1DM) using multiple daily injections. Participants were randomly allocated to either sequence Intervention/Control or sequence Control/Intervention. During the Intervention period which lasted 84 days, participants used the first-generation FreeStyle Libre (Abbott Diabetes Care, Alameda, CA, USA) and received structured education on how to prevent hypoglycemia based on the trend arrow and by frequent sensor scanning (≥10 times a day). Confirmatory SMBG was conducted before dosing insulin. The Control period lasted 84 days. The primary endpoint was the decrease in the time below range (TBR; <70 mg/dL).

RESULTS

The time below range was significantly reduced in the Intervention arm compared to the Control arm (2.42 ± 1.68 h/day [10.1 %±7.0 %] vs 3.10 ± 2.28 h/day [12.9 %±9.5 %], P = 0.012). The ratio of high-risk participants with low blood glucose index >5 was significantly reduced (8.6 % vs 23.7 %, P < 0.001).

CONCLUSIONS

The use of isCGM combined with structured education significantly reduced the time below range in patients with T1DM.

Managing Severe Hypoglycaemia in Patients with Diabetes: Current Challenges and Emerging Therapies

Hypoglycaemia is common in patients with diabetes mellitus and is a limiting factor for achieving adequate glycaemic control. In the vast majority of cases, hypoglycaemia develops due to the imbalance between food intake and insulin injections. As recurrent hypoglycaemia leads to significant morbidity and mortality, the recognition and immediate treatment of hypoglycaemia in diabetic patients is thus important. In the last 20 years, the introduction of improved insulin analogues, insulin pump therapy, continuous glucose monitoring (CGM), and sensor-augmented pump therapy have all made significant improvements in helping to reduce and prevent hypoglycaemia. In terms of treatment, the American Diabetes Association recommends oral glucose as the first-line treatment option for all conscious patients with hypoglycaemia. The second line of treatment (or first line in unconscious patients) is the use of glucagon. Novel formulations of glucagon include the nasal form, the Gvoke HypoPen which is a ready-to-deliver auto-injector packaged formulation and finally a glucagon analogue, Dasiglucagon. The Dasiglucagon formulation has recently been approved for the treatment of severe hypoglycaemia. It is a ready-to-use, similar to endogenous glucagon and its potency is also the same as native glucagon. It does not require reconstitution before injection and therefore ensures better compliance. Thus, significant improvements including development of newer insulin analogues, insulin pump therapy, continuous glucose monitoring (CGM), sensor-augmented pump therapy and novel formulations of glucagon have all contributed to reducing and preventing hypoglycaemia in diabetic individuals. However, considerable challenges remain as not all patients have access to diabetes technologies and to the newer glucagon formulations to help reduce and prevent hypoglycaemia.