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OBJECTIVE To evaluate, from 2013 to 2022, how HbA1c, the incidence of acute complications, and use of diabetes technology changed at the national level in Norway and how glycemic control was associated with use of diabetes technology, carbohydrate counting, or participation in a quality improvement project. RESEARCH DESIGN AND METHODS This longitudinal observational study was based on 27,214 annual registrations of 6,775 children from the Norwegian Childhood Diabetes Registry from 2013 to 2022. Individuals aged >18 years, those with diabetes other than type 1, and those without HbA1c measurements were excluded. The outcome measure was HbA1c. The predictor variables in the adjusted linear mixed-effects model were 1) the use of diabetes technology, 2) the use of carbohydrate counting for meal bolusing, and 3) whether the patient's diabetes team participated in a quality improvement project. RESULTS Mean HbA1c decreased from 8.2% (2013) to 7.2% (2021), and the proportion of youth reaching an HbA1c <7.0% increased from 13% (2013) to 43% (2022). Insulin pump use increased from 65% (2013) to 91% (2022). Continuous glucose monitoring (CGM) use increased from 34% (first recorded in 2016) to 97% (2022). Insulin pump, CGM, and carbohydrate counting were associated with lower HbA1c and higher achievement of glycemic targets. Girls had a higher mean HbA1c than boys. Mean HbA1c levels were lower in clinics that participated in a quality improvement project for the following 4 years after the project. CONCLUSIONS Diabetes technology, carbohydrate counting, and systematic quality improvement in pediatric departments led to improved glycemic control. [ABSTRACT FROM AUTHOR]

OBJECTIVE Little is known about the influence of residual islet function on glycemic control in type 1 diabetes (T1D). We investigated the associations between residual β-cell function and metrics of continuous glucose monitoring (CGM) in individuals with T1D. RESEARCH DESIGN AND METHODS In this cross-sectional cohort comprising 489 individuals (64% female, age 41.0 ± 14.0 years), T1D duration was 15.0 (interquartile range [IQR] 6.0-29.0) years. Individuals had a time in range (TIR) of 66% (IQR 52-80%) and a urinary C-peptide-to-creatinine ratio (UCPCR) of 0.01 (IQR 0.00-0.41) nmol/mmol. To assess β-cell function, we measured UCPCR (detectable >0.01 nmol/mmol), and to assess α-cell function, fasting plasma glucagon/glucose ratios were measured. CGM was used to record TIR (3.9-10 mmol/L), time below range (TBR) (<3.9 mmol/L), time above range (TAR) (>10 mmol/L), and glucose coefficient of variance (CV). For CGM, 74.7% used FreeStyle Libre 2, 13.8% Medtronic Guardian, and 11.5% Dexcom G6 as their device. RESULTS The percentage of patients with T1D who had a detectable UCPCR was 49.4%. A higher UCPCR correlated with higher TIR (r = 0.330, P < 0.05), lower TBR (r = -0.237, P < 0.05), lower TAR (r = -0.302, P < 0.05), and lower glucose CV (r = -0.356, P < 0.05). A higher UCPCR correlated negatively with HbA1c levels (r = -0.183, P < 0.05) and total daily insulin dose (r = -0.183, P < 0.05). Glucagon/glucose ratios correlated with longer TIR (r = 0.234, P < 0.05). CONCLUSIONS Significantly longer TIR, shorter TBR and TAR, and lower CV were observed in individuals with greater UCPCR-assessed β-cell function. Therefore, better CGM-derived metrics in individuals with preserved β-cell function may be a contributor to a lower risk of developing long-term complications. [ABSTRACT FROM AUTHOR]

Patients with cystic fibrosis (CF) are at risk to develop CF related diabetes (CFRD) and subsequently even diabetic neuro- and/or vasculopathy. We sought to determine if there are typical signs of diabetes-related retinal alterations present in CF patients with preserved and impaired glycemic control. During routine annual examination CF patients were offered an additional 7-day period of real time continuous glucose monitoring (rtCGM) and an ophthalmological examination including retinal optical coherence tomography (OCT). Patients were categorized according to the glycemic control, i.e. the results of an oral glucose tolerance test (OGTT) and rtCGM were taken into consideration. OCT data was analyzed by our previously published visual analysis software generating dedicated and spatially resolved deviation maps for visualization and quantification of differences in total retinal thickness and thickness of retinal nerve fiber layer (RNFL) as well as ganglion cell layer (GCL) in comparison to age-matched healthy controls and patients with either type 1 or type 2 diabetes mellitus. Results of the rtCGM and/or OGTT enabled discrimination between patients with normal glycemic control (CFNG; n = 6), with abnormal glycemic control (CFAG; n = 6) and overt CFRD (n = 4). OCT data indicates gradually increasing retinal thinning in all 3 groups, depending on the degree of glucose metabolism disorder compared to healthy controls. At the foveal region total retinal thickness and GCL thickness were significantly thinner in CFRD patients compared to CFNG patients (total retinal thickness: 260.4 µm (239.3–270.8) vs. 275.4 µm (254.3–289.5); GCL: 11.82 µm (11.16–15.25) vs. 17.30 µm (13.95–19.82); each p < 0.05). Although we investigated a rather small number of patients, we obtained evidence that intraretinal neurodegenerative changes occur in each of our subgroups (CFNG, CFAG, CFRD). Beyond this, our results favor the detrimental role of additional diabetes, as the deviations from healthy controls were most pronounced in the CFRD group and are similar to those seen in patients suffering from type 1 or type 2 diabetes. [ABSTRACT FROM AUTHOR]

Purpose: Electric bikes (EB) are a form of active transportation with demonstrated health benefits. The purpose of this study was to determine the influence of riding an EB for one week on indices of cardiometabolic health in middle-aged adults. Methods: Adults (n = 22; age = 57.1 ± 11.3 year; BMI = 27.7 ± 4.9) participated in a 2 week study. During Week 1, participants were instructed to continue regular activities. Starting Week 2 participants were provided an EB to ride at least 3 days for a minimum of 30 min·day−1. Physical activity (PA) and glucose were measured continuously. Body composition, blood lipids, glucose, insulin, hemoglobin A1c (HbA1c), plasma endothelin-1 (ET-1), and carotid-femoral pulse wave velocity (cf-PWV) were measured on days 1 and 14.Data and Statistical analyses or Statistics. Each participant served as their own control. Paired t-tests compared dependent variables between week 1 (without EB) and week 2 (with EB). Results: When provided an EB for one week, moderate to vigorous PA increased by 6–9 min·day−1 (P < 0.05) and sedentary time decreased by ~ 77 min·day−1 (P < 0.05). Data from 24 h continuous glucose monitoring showed the percentage of time in healthy range (70–120 mg·dl−1 glucose) increased (P < 0.05) from week 1 to week 2. Compared to day 1, cf-PWV was lower at day 14 (P < 0.05) following one week of riding an EB. Conclusion: Moderately-active, middleaged adults showed improved continuous glucose regulation and lower central arterial stiffness following one week of riding an EB. [ABSTRACT FROM AUTHOR]

Purpose: The Global Leader Initiative on Malnutrition (GLIM) criteria were developed in 2018 as a global indicator of malnutrition, and the term 'malnutrition-sarcopenia syndrome' was established. Recently, it has been reported that fluctuations in blood glucose are related to sarcopenia. In this study, we investigated the effects of glucose fluctuations on malnutrition after gastrectomy using a continuous glucose monitoring (CGM) device. Methods: We analyzed the data of 69 patients with gastric cancer (GC) who underwent curative gastrectomy between November 2017 and December 2020. CGM was performed over a 2-week period at 1 month and 1 year after surgery. The GLIM criteria included weight loss, the body mass index (BMI), and the psoas muscle mass index (PMI). Results: One year after surgery, 25 and 35 patients had severe and moderate malnutrition, respectively. The time below range (TBR) (percent of time the glucose concentration was < 70 mg/dL) and nocturnal (00:00–06:00) TBR were significantly higher in the severe malnutrition group than in the other groups (TBR: normal/moderate 17.9% vs. severe 21.6%, P = 0.039, nocturnal TBR; normal/moderate 30.6% vs. severe 41.1%, P = 0.034). Conclusions: Post-gastrectomy hypoglycemia, including long nocturnal hypoglycemia, was higher in severely malnourished patients than in other patients even 1 year after surgery. Prevention of nocturnal hypoglycemia may be the key to improving malnutrition following gastrectomy. [ABSTRACT FROM AUTHOR]

Objective: Going extended periods of time without eating increases risk for binge eating and is a primary target of leading interventions for binge‐spectrum eating disorders (B‐EDs). However, existing treatments for B‐EDs yield insufficient improvements in regular eating and subsequently, binge eating. These unsatisfactory clinical outcomes may result from limitations in assessment and promotion of regular eating in therapy. Detecting the absence of eating using passive sensing may improve clinical outcomes by facilitating more accurate monitoring of eating behaviours and powering just‐in‐time adaptive interventions. We developed an algorithm for detecting meal consumption (and extended periods without eating) using continuous glucose monitor (CGM) data and machine learning. Method: Adults with B‐EDs (N = 22) wore CGMs and reported eating episodes on self‐monitoring surveys for 2 weeks. Random forest models were run on CGM data to distinguish between eating and non‐eating episodes. Results: The optimal model distinguished eating and non‐eating episodes with high accuracy (0.82), sensitivity (0.71), and specificity (0.94). Conclusions: These findings suggest that meal consumption and extended periods without eating can be detected from CGM data with high accuracy among individuals with B‐EDs, which may improve clinical efforts to target dietary restriction and improve the field's understanding of its antecedents and consequences. Highlights: Regular eating is an important treatment target for binge‐spectrum eating disorders (B‐EDs).The present study developed an algorithm for detecting extended periods of time without eating using blood glucose data.The developed algorithm may be used to improve interventions for B‐EDs. [ABSTRACT FROM AUTHOR]

Aims: To describe trends in risk factor control and serious hypoglycaemia in people with type 1 diabetes and to assess the effect of starting continuous glucose monitoring (CGM) in the real‐world setting. Methods: Two cross‐sectional surveys including 5746 individuals in 2012 and 18,984 individuals in 2020 based on data recorded in the Norwegian Diabetes Register for Adults (NDR‐A) and an analysis of a longitudinal cohort of 2057 individuals where data on CGM and HbA1c were available in the NDR‐A in 2012 and 2020. Results: In the cross‐sectional surveys mean HbA1c decreased from 66 mmol/mol (99% CI 65, 66) (8.2%) in 2012 to 61 mmol/mol (99% CI 61, 61) (7.7%) in 2020 (p < 0.0001). The proportion reporting serious hypoglycaemia decreased from 16.9 to 6.2% in 2020 (p < 0.0001). Mean LDL‐cholesterol decreased from 2.80 (99% CI 2.78, 2.83) to 2.63 (99% CI 2.61, 2.65) mmol/l in 2020 (p < 0.0001). Mean blood pressure increased slightly. In the CGM cohort, we found a 3 mmol/mol (0.3%) greater improvement in mean HbA1c and a greater reduction in serious hypoglycaemia (−12.3% vs. −6.2%) among individuals that had started using CGM between 2013 and 2020 when compared with individuals that had not started using CGM. Conclusions: Between 2012 and 2020, we found marked improvements in glycaemic control and a considerable decrease in the proportion of individuals reporting serious hypoglycaemia. The proportion of individuals using CGM increased substantially and individuals that had started using CGM by 2020 showed greater improvement in glycaemic control and less serious hypoglycaemia. [ABSTRACT FROM AUTHOR]

Introduction: Women with type 1 diabetes have an increased risk of preeclampsia (PE), but it is not fully understood if degree of glycemic control is associated with this risk. The aim of this study was to assess glycemic control during pregnancy analyzed by continuous glucose monitoring (CGM) in women with and without PE and to investigate if glycemic control is associated with increased risk of PE. Material and Methods: A total of 120 pregnant Swedish women with type 1 diabetes using CGM were included. Background factors and pregnancy outcomes were collected from medical records. CGM data were collected via the internet‐based platform Diasend. Mean glucose, standard deviation of mean glucose, percentage of time in target, time below target, and time above target were presented for each trimester in women who did or did not develop PE. Associations between CGM‐derived metrics and PE were analyzed with logistic regression and adjusted for confounders. Results: Twenty‐two women (18.3%) developed PE. There were no significant differences in maternal characteristics between women with and without PE. Glycemic control improved in each trimester but was suboptimal in both groups. Time in target increased from 59% in the non‐PE group and 54% in the PE group in the first trimester to 65% in both groups in the third trimester. There were no significant associations between glycemic control and PE after adjustment for confounders. Conclusions: Degree of glycemic control during pregnancy assessed by CGM was not associated with development of PE in women with type 1 diabetes. However, more research is needed to understand the role of glycemic control in relation to development of PE. [ABSTRACT FROM AUTHOR]

This article discusses a study conducted in Japan that examines the relationship between glucose management and time in range (TIR) and time in tight range (TITR) in individuals with drug-naive type 2 diabetes. The study found that individuals with higher glucose management indicator (GMI) values had lower TIR and TITR values. The study suggests that a TITR of 80% or 60% may be a target for achieving a HbA1c value of less than 6.5% or 7% in individuals with type 2 diabetes. However, the study acknowledges limitations such as a small sample size and the use of an older dataset. [Extracted from the article]

Aim: Recently, the relationship between diabetes and mental health has been widely studied. With the advent of continuous glucose monitoring (CGM), some researchers have been interested in exploring the association between glucose-related metrics and psychological aspects. These studies have primarily relied on self-report questionnaires which present some limitations. Therefore, the present multicenter study aims at testing potential associations between CGM metrics and affective processes derived from narratives about using a CGM sensor. Methods: An exploratory correlational design was used. Fifty-eight adults with type 1 diabetes using CGM were enrolled and invited to complete an online survey, where they replied to an open-ended question regarding their personal experience with the CGM sensor. Texts derived from the answers were analyzed through Linguistic Inquiry and Word Count, a widely used text analysis tool that can automatically identify and quantify linguistic patterns related to various psychological dimensions. Psycholinguistic measures were correlated with CGM metrics. Results: Higher levels of sadness/depression correlated with lower %TIR (r = − 339; p <.01) and higher %TAR (r =.342; p <.01). Conclusions: The study highlights the relationship between CGM metrics and psychological variables derived from patients' narratives. In particular, it is possible to hypothesize a positive role of %TIR in reducing depressive feelings in individuals with diabetes, as well as a negative role of depressive feelings in achieving desirable CGM outcomes. Additionally, there is a potential role of glycemic variability, particularly hyperglycemia, in the expression of depressive and sad feelings, which has been less studied compared to the effects of hypoglycemia. [ABSTRACT FROM AUTHOR]

Aim: To evaluate the impact of the Dexcom G6 continuous glucose monitoring (CGM) device on glycaemic control and cardiometabolic risk in patients with type 2 diabetes mellitus (T2DM) at high cardiovascular risk who are not on insulin therapy. Materials and Methods: Adults with T2DM with glycated haemoglobin (HbA1c) >7% and body mass index (BMI) ≥30 kg/m2 not using insulin were enrolled in a two‐phase cross‐over study. In phase 1, CGM data were blinded, and participants performed standard glucose self‐monitoring. In phase 2, the CGM data were unblinded, and CGM, demographic and cardiovascular risk factor data were collected through 90 days of follow‐up and compared using paired tests. Results: Forty‐seven participants were included (44% women; 34% Black; mean age 63 years; BMI 37 kg/m2; HbA1c 8.4%; 10‐year predicted atherosclerotic cardiovascular disease risk 24.0%). CGM use was associated with a reduction in average glucose (184.0 to 147.2 mg/dl, p <.001), an increase in time in range (57.8 to 82.8%, p <.001) and a trend towards lower glucose variability (26.2 to 23.8%). There were significant reductions in HbA1c, BMI, triglycerides, blood pressure, total cholesterol, diabetes distress and 10‐year predicted risk for atherosclerotic cardiovascular disease (p <.05 for all) and an increase in prescriptions for sodium‐glucose cotransporter 2 inhibitors (36.2 to 83.0%) and glucagon‐like peptide‐1 receptor agonists (42.5 to 87.2%, p <.001 for both). Conclusions: Dexcom G6 CGM was associated with improved glycaemic control and cardiometabolic risk in patients with T2DM who were not on insulin. CGM can be a safe and effective tool to improve diabetes management in patients at high risk for adverse cardiovascular outcomes. [ABSTRACT FROM AUTHOR]

Aims: To compare the effects of 4 hours of laboratory‐based regular activity breaks (RABs) and prolonged sitting (SIT) on subsequent 48‐h free‐living interstitial glucose levels in a group of healthy adults. Materials and Methods: In this randomized crossover trial, participants completed two 4‐h laboratory‐based interventions commencing at ~5:00 pm: (1) SIT and (2) SIT interrupted with 3 min of body weight resistance exercise activity breaks every 30 min (RABs). Continuous glucose monitoring was performed during the intervention and for 48‐h after, during which time participants returned to a free‐living setting. Results: Twenty‐eight adults (female n = 20, mean ± SD age 25.5 ± 5.6 years, body mass index 29.2 ± 6.9 kg/m2) provided data for this analysis. During the intervention period, RABs lowered mean interstitial glucose by 8.3% (−0.47 mmol/L/4 h, 95% confidence interval [CI] −0.74 to −0.20; p = 0.001) and area under the curve (AUC) by 8.9% (−2.01 mmol/L/4 h, 95% CI −3.05 to −0.97; p < 0.001) compared to SIT. Measures of glycaemic variability were not significantly different during the intervention. There were no significant differences in mean glucose and AUC between conditions during the first nocturnal period and 24‐h post intervention. When compared to SIT, RABs increased continuous overall net action of glucose at 1 h and SD glucose by 22% (0.18 mmol/L, 95% CI 0.03 to 0.29; p = 0.018) and 26% (95% CI 4.9 to 42.7; p = 0.019) in the first nocturnal period and by 10% (0.09 mmol/L, 95% CI 0.01, 0.17; p = 0.025) and 15% (95% CI 6.6 to 22.4; p = 0.001) in the 24‐h post intervention period, respectively. Conclusion: Performing activity breaks in the evening results in acute reductions in interstitial glucose concentrations; however, the magnitude of these changes is not maintained overnight or into the following 48 hours. [ABSTRACT FROM AUTHOR]

Aim: Type 1 diabetes (T1D) increases the risk of morbidity and mortality from cardiovascular disease, and insufficient sleep is prevalent. Emerging evidence suggests a link between sleep and cardiometabolic health, but this has not been examined across the lifespan in individuals with T1D. We aimed to examine associations between sleep and cardiometabolic health in adolescents and adults with T1D in a secondary analysis of data from a 4‐week double‐blind, random‐order, placebo‐controlled crossover trial of bromocriptine quick release (BCQR) therapy with a 4‐week washout in between conditions. Materials and Methods: Forty‐two adults (19‐60 years) and 42 adolescents (12‐18 years) with T1D >9 months completed 1 week of home monitoring with wrist‐worn actigraphy to estimate sleep duration and continuous glucose monitoring, anthropometrics, arterial stiffness, magnetic resonance imaging (adolescents only), and fasting laboratory testing at each treatment phase. Results: Sixty‐two per cent of adolescents and 74% of adults obtained <7 h of sleep per night at baseline. After adjustment for age, sex and diabetes duration, baseline sleep <7 h per night was associated with a higher body mass index, a higher waist circumference, a higher systolic blood pressure, worse arterial stiffness and a lower estimated insulin sensitivity (all p <.05). When examined by age group, associations between sleep duration and cardiometabolic health outcomes remained significant, predominantly for adolescents. In adolescents only, wake time was significantly later (p =.027) and time in bed was significantly longer with BCQR versus placebo (p =.049). Conclusions: Objectively measured sleep <7 h per night was prevalent in adolescents and adults with T1D and associated with poorer cardiometabolic health markers. Small changes in sleep were seen following BCQR treatment in adolescents only. Sleep may be an important and novel target for improving cardiometabolic health in individuals with T1D. [ABSTRACT FROM AUTHOR]

Nutritional intake could influence the blood glucose profile during early life of preterm infants. We investigated the impact of macronutrient intake on glycemic homeostasis using continuous glucose monitoring (CGM). We analyzed macronutrient intake in infants born ≤ 32 weeks gestational age (GA) and/or with birth weight ≤ 1500 g. CGM was started within 48 h of birth and maintained for 5 days. Mild and severe hypoglycemia were defined as sensor glucose (SG) < 72 mg/dL and <47 mg/dL, respectively, while mild and severe hyperglycemia were SG > 144 mg/dL and >180 mg/dL. Data from 30 participants were included (age 29.9 weeks (29.1; 31.2), birthweight 1230.5 g (1040.0; 1458.6)). A reduced time in mild hypoglycemia was associated to higher amino acids intake (p = 0.011) while increased exposure to hyperglycemia was observed in the presence of higher lipids intake (p = 0.031). The birthweight was the strongest predictor of neonatal glucose profile with an inverse relationship between the time spent in hyperglycemia and birthweight (p = 0.007). Conclusions: Macronutrient intakes influence neonatal glucose profile as described by continuous glucose monitoring. CGM might contribute to adjust nutritional intakes in preterm infants. What is Known: • Parenteral nutrition may affect glucose profile during the first days of life of preterm infants. What is New: • Continuous glucose monitoring describes the relationship between daily parenteral nutrient intakes and time spent in hypo and hyperglycemic ranges. [ABSTRACT FROM AUTHOR]

Although continuous glucose monitoring (CGM) devices are now considered the standard of care for people with type 1 diabetes mellitus, the uptake among people with type 2 diabetes mellitus (T2DM) has been slower and is focused on those receiving intensive insulin therapy. However, increasing evidence now supports the inclusion of CGM in the routine care of people with T2DM who are on basal insulin-only regimens or are managed with other medications. Expanding CGM to these groups could minimize hypoglycaemia while allowing efficient adaptation and escalation of therapies. Increasing evidence from randomized controlled trials and observational studies indicates that CGM is of clinical value in people with T2DM on non-intensive treatment regimens. If further studies confirm this finding, CGM could soon become a part of routine care for T2DM. In this Perspective we explore the potential benefits of widening the application of CGM in T2DM, along with the challenges that must be overcome for the evidence-based benefits of this technology to be delivered for all people with T2DM. Continuous glucose monitoring (CGM) is an effective tool in the management of diabetes mellitus. This Perspective discusses the potential benefits of widespread adoption of CGM in people with type 2 diabetes mellitus at different stages of disease progression and treatment intensification. [ABSTRACT FROM AUTHOR]

Aim Methods Results Conclusions To investigate the relationship between continuous glucose monitoring (CGM)‐derived glucometrics and metabolic dysfunction‐associated steatotic liver disease (MASLD) in type 1 diabetes (T1D).A cross‐sectional study collecting data on anthropometrics, glucometrics and MASLD in adults with T1D using a CGM device was conducted. MASLD was assessed by abdominal ultrasound and the presence of at least one cardiometabolic criterion. Backward multivariable logistic regression models were applied to define variables independently associated with MASLD.A total of 302 consecutive participants were included (median age 49 [34‐61] years, male sex 58%, median diabetes duration 29 [17‐38] years, mean time in range [TIR] 55% ± 16%). MASLD was present in 17% of cases, and 32% had metabolic syndrome (MetS). MetS was significantly more prevalent in the MASLD group (65% vs. 25%, P < .0001). TIR (P = .038) and time below range (TBR) (P = .032) were lower and time above range (TAR) was higher (P = .006), whereas HbA1c did not reach significance (P = .068). No differences were found for the glycaemia risk index. TIR (P = .028), TAR (P = .007), TBR (P = .036), waist circumference (P < .001) and systolic blood pressure (P = .029) were independently associated with MASLD, while sex, age, aspartate aminotransferase/alanine aminotransferase ratio, gamma‐glutamyl transferase, high‐density lipoprotein cholesterol and triglycerides were not.TIR, TAR, TBR, waist circumference and systolic blood pressure were independently associated with MASLD. [ABSTRACT FROM AUTHOR]

Aim Design Methods Discussion To conduct a discursive review on continuous glucose monitoring use among Black older adults and to address the issue of racial disparities in diabetes management and outcomes. Type 2 diabetes mellitus is a global health concern with significant complications and mortality rates. Black older adults are disproportionately affected. Initially designed for type 1 diabetes, continuous glucose monitoring has emerged as an innovative tool for type 2 diabetes mellitus management. Despite its potential, there are challenges related to adherence and digital literacy among Black older adults for managing Diabetes.A discursive review.Searching literature in PubMed, Scopus, and Google Scholar for papers published from 2017 to 2023, we explored the use of continuous glucose monitoring in Black older adults with type 2 diabetes mellitus, examining barriers, facilitators and challenges.We highlight recommendations from the literature which included barriers, facilitators, and cultural factors associated with continuous glucose monitoring use. Findings underscore the importance of addressing these challenges to reduce racial–ethnic disparities in type 2 diabetes mellitus management among Black older adults. Nurses and advanced practice registered nurses are at the forefront and can play a pivotal role in exploring and implementing interventions to promote access and proper use of continuous glucose monitoring among Black older adult patients with type 2 diabetes mellitus. [ABSTRACT FROM AUTHOR]

Aim Materials and Methods Results Conclusion We investigated the relationship between the complexity of the glucose time series index (CGI) during pregnancy and adverse pregnancy outcomes in women with gestational diabetes mellitus (GDM).In this retrospective cohort study, 388 singleton pregnant women with GDM underwent continuous glucose monitoring (CGM) at a median of 26.86 gestational weeks. CGI was calculated using refined composite multiscale entropy based on CGM data. The participants were categorized into tertiles according to their baseline CGI (CGI <2.32, 2.32‐3.10, ≥3.10). Logistic regression was used to assess the association between CGI and composite adverse outcomes or large for gestational age (LGA). The discrimination performance of CGI was estimated using receiver operating characteristic analysis.Of the 388 participants, 71 (18.3%) had LGA infants and 63 (16.2%) had composite adverse outcomes. After adjustments were made for confounders, compared with those with a high CGI (CGI ≥3.10), participants with a low CGI (CGI <2.32) had a higher risk of composite adverse outcomes (odds ratio: 12.10, 95% confidence interval: 4.41‐33.18) and LGA (odds ratio: 12.68, 95% confidence interval: 4.04‐39.75). According to the receiver operating characteristic analysis, CGI was significantly better than glycated haemoglobin and conventional CGM indicators for the prediction of adverse pregnancy outcomes (all p < .05).A lower CGI during pregnancy was associated with composite adverse outcomes and LGA. CGI, a novel glucose homeostasis predictor, seems to be superior to conventional glucose indicators for the prediction of adverse pregnancy outcomes in women with GDM. [ABSTRACT FROM AUTHOR]

Background: The escalating prevalence of diabetes, with its multifaceted complications, poses a pressing challenge for healthcare systems globally. In response, the advent of continuous glucose monitoring (CGM) systems, offering technological solutions for daily diabetes management, presents significant opportunities. However, the widespread adoption faces several barriers, linked both to the technological configuration of the devices and to the psychological dimension of patients. Therefore, this study aims to apply and test a theoretical model that investigates the antecedents of the intention to use Continuous Glucose Monitoring systems. Methods: The research model was built to unveil the impacts of psychological factors, functional components and rational constructs derived from the Technology Acceptance Model (TAM) on CGM systems sustained adoption. To ensure the comparability of results, we have collected data from people who had used Dexcom ONE Dexcom (San Diego, CA) for the first time for at least one month. Employing Structural Equation Modelling (SEM) techniques, the hypothesized relationships among constructs were assessed. Results: The analyses confirmed the positive correlation of rational factors to the Intention to Use. Subjective Norm, intended as the physicians' influence, is positively correlated with the Perceived Usefulness. Trend Arrows, albeit being negatively correlated with Perceived Usefulness, have a positive correlation on Perceived Ease Of Use, reinforcing its mediating effect towards Perceived Usefulness. Among psychological factors, Trust in the CGM technology positively correlates with Intention to Use. Health Literacy is negatively correlated to the Intention to Use. Conclusions: These findings contribute to theoretical and managerial understanding, providing recommendations to enhance the adoption of CGM systems like Dexcom ONE. [ABSTRACT FROM AUTHOR]

Background: Glycated hemoglobin is a well-known marker for evaluating long-term glycemic control. However, the accuracy of glycated hemoglobin measurement can be affected by the presence of hemoglobin variants, which makes the determination and interpretation of glycated hemoglobin values in terms of glycemic control not only difficult but also misleading. Here we present the first ever case of a patient with type 2 diabetes with hemoglobin E from Nepal, diagnosed incidentally because of spurious glycated hemoglobin levels. Case presentation: A 45-year-old Hindu Mongolian female with a history of type 2 diabetes for around 9 years but not very compliant with follow-ups was referred to our facility for plasma fasting and postprandial blood glucose levels and glycated hemoglobin. Fasting and postprandial blood sugars were found to be high. A consistent very low glycated hemoglobin by two different high-performance liquid chromatography (HPLC) methods compelled us to call the patient for a detailed clinical history and for the records of investigations done in the past. The patient has been a known case of type 2 diabetes for around 9 years and presented irregularly for follow-up visits. Around 4 years ago, she presented to a healthcare facility with fatigue, severe headaches, pain in the abdomen, discomfort, and dizziness for a couple of months, where she was shown to have high blood glucose. She was referred to a tertiary-level hospital in Kathmandu, where she was prescribed metformin 500 mg once daily (OD). Due to her abnormal hemoglobin A1c reports, she was then sent to the National Public Health Laboratory for repeat investigations. Her blood and urine investigations were sent. Complete blood count findings revealed high red blood cell and white blood cell counts, a low mean corpuscular volume, and a high red cell distribution width-coefficient of variation. Other parameters, including serum electrolytes, renal function tests, liver function tests, and urine routine examinations, were within normal limits. A peripheral blood smear revealed microcytic hypochromic red cells with some target cells. Hemoglobin electrophoresis showed a very high percentage of hemoglobin E, a very low percentage of hemoglobin A2, and normal proportions of hemoglobin A and hemoglobin F. A diagnosis of homozygous hemoglobin E was made, and family screening was advised. Conclusions: Clinicians should be aware of the limitations of glycated hemoglobin estimation by ion exchange high-performance liquid chromatography in patients with hemoglobin E and other hemoglobin variants. If the clinical impression and glycated hemoglobin test results do not match, glycated hemoglobin values should be determined with a second method based on a different principle, and glycemic status should be confirmed through alternative investigations, preferably those that are not influenced by the presence of hemoglobin variants (for example, boronate affinity chromatography, fructosamine test, glycated albumin test, the oral glucose tolerance test, continuous glucose monitoring, etc.). Consistent or even doubtful results should also raise the suspicion of a hemoglobin variant, which should be confirmed through further evaluation and investigations. [ABSTRACT FROM AUTHOR]

Aims Methods Results Conclusions There are marked inequities in clinical outcomes and rates of diabetes technology use among youth with type 1 diabetes (T1D). The quantitative data from our mixed methods cohort study identified significant improvements in glycaemia and quality of life in participants. We aimed to use qualitative methods to provide further insight into our quantitative findings in the setting of underlying health disparities.Fifteen publicly insured, insulin pump‐naïve non‐Hispanic Black youth aged 6–21 years with T1D and baseline haemoglobin A1c (HbA1c) ≥86 mmol/mol (10%) and their parents participated in a mixed methods cohort study. Semi‐structured interviews were conducted separately with parents and youth after completion of 6 months of HCL use. Three topic areas were explored: (1) Experience using HCL, (2) barriers to HCL and (3) facilitators to accessing HCL. Semantic content analysis and consensus coding involving two team members were used to generate themes. Thematic saturation was achieved.Youth (Medianage 14.9 years, 67% female) and parents (92% female) were interviewed. Youth and their parents reported that access to HCL provides a new outlook on living with T1D, although managing T1D is still hard. They felt that diabetes technology is most helpful for those struggling with management. Participants experienced barriers to access including misconceptions of HCL systems, clinician bias and systemic racism. They suggested these barriers can be overcome by offering diabetes technology education for all people with T1D, increasing awareness of HCL in the community and providing resources to overcome barriers created by social determinants of health.The voices of historically minoritised youth with suboptimal T1D control and their parents provide important, previously unreported experiences and perspectives on barriers and facilitators to using HCL that will shape interventions to improve equity in access to diabetes technology. [ABSTRACT FROM AUTHOR]

Background: Continuous glucose monitoring can improve glycemic control for hospitalized patients with diabetes, according to current evidence. However, there is a lack of consensus-established recommendations for the management of hospitalized patients with diabetes using flash continuous glucose monitoring system (fCGM) in Latin America. Therefore, this expert consensus exercise aimed to establish guidelines on the implementation of fCGM in the management of hospitalized patients with diabetes in Latin America. Methods: The modified Delphi method was applied on a panel of nine specialists, establishing consensus at 80%. A twenty-two-question instrument was developed to establish recommendations on the use of fCGM in hospitalized patients living with diabetes. Results: Based on consensus, experts recommend the use of fCGM in hospitalized patients with diabetes starting at admission or whenever hyperglycemia (> 180 mg/dl) is confirmed and continue monitoring throughout the entire hospital stay. The recommended frequency of fCGM scans varies depending on the patient's age and diabetes type: ten scans per day for pediatric patients with type 1 and 2 diabetes, adult patients with type 1 diabetes and pregnant patients, and seven scans for adult patients with type 2 diabetes. Different hospital services can benefit from fCGM, including the emergency room, internal medicine departments, intensive care units, surgery rooms, and surgery wards. Conclusions: The use of fCGM is recommended for patients with diabetes starting at the time of admission in hospitals in Latin America, whenever the necessary resources (devices, education, personnel) are available. [ABSTRACT FROM AUTHOR]

Background: A growing number of older adults (ages 65+) live with Type 1 diabetes. Simultaneously, technologies such as continuous glucose monitoring (CGM) have become standard of care. There is thus a need to understand better the complex dynamics that promote use of CGM (and other care innovations) over time in this age group. Our aim was to adapt methods from systems thinking, specifically a participatory approach to system dynamics modeling called group model building (GMB), to model the complex experiences that may underlie different trajectories of CGM use among this population. Herein, we report on the feasibility, strengths, and limitations of this methodology. Methods: We conducted a series of GMB workshops and validation interviews to collect data in the form of questionnaires, diagrams, and recordings of group discussion. Data were integrated into a conceptual diagram of the "system" of factors associated with uptake and use of CGM over time. We evaluate the feasibility of each aspect of the study, including the teaching of systems thinking to older adult participants. We collected participant feedback on positive aspects of their experiences and areas for improvement. Results: We completed nine GMB workshops with older adults and their caregivers (N = 33). Each three-hour in-person workshop comprised: (1) questionnaires; (2) the GMB session, including both didactic components and structured activities; and (3) a brief focus group discussion. Within the GMB session, individual drawing activities proved to be the most challenging for participants, while group activities and discussion of relevant dynamics over time for illustrative (i.e., realistic but not real) patients yielded rich engagement and sufficient information for system diagramming. Study participants liked the opportunity to share experiences with peers, learning and enhancing their knowledge, peer support, age-specific discussions, the workshop pace and structure, and the systems thinking framework. Participants gave mixed feedback on the workshop duration. Conclusions: The study demonstrates preliminary feasibility, acceptability, and the value of GMB for engaging older adults about key determinants of complex health behaviors over time. To our knowledge, few studies have extended participatory systems science methods to older adult stakeholders. Future studies may utilize this methodology to inform novel approaches for supporting health across the lifespan. [ABSTRACT FROM AUTHOR]

Background Hypothesis Animals Methods Results Conclusions and Clinical Importance In purpose‐bred dogs, insulin glargine 300 U/mL (IGla300) has long duration of action, peakless time‐action profile, and low potency, making it suitable for use as a basal insulin.To evaluate IGla300 in client‐owned diabetic dogs monitored using a flash glucose monitoring system (FGMS).Ninety‐five client‐owned diabetic dogs, newly diagnosed or previously treated with other insulin formulations, with or without concurrent diseases.Prospective multi‐institutional study. Clinical signs and standardized assessment of FGMS data, using treatment and monitoring guidelines established a priori, guided dose adjustments and categorization into levels of glycemic control.The initial IGla300 dose was 0.5 U/Kg q24h for newly diagnosed dogs and (median dose [range]) 0.8 U/Kg (0.2‐2.5) q24h for all dogs. Glycemic control was classified as good or excellent in 87/95 (92%) dogs. The IGla300 was administered q24h (1.9 U/kg [0.2‐5.2]) and q12h (1.9 U/kg/day [0.6‐5.0]) in 56/95 (59%) and 39/95 (41%) dogs, respectively. Meal‐time bolus injections were added in 5 dogs (0.5 U/kg/injection [0.3‐1.0]). Clinical hypoglycemia occurred in 6/95 (6%) dogs. Dogs without concurrent diseases were more likely to receive IGla300 q24h than dogs with concurrent diseases (72% vs 50%, respectively; P = .04).Insulin glargine 300 U/mL can be considered a suitable therapeutic option for once‐daily administration in diabetic dogs. Clinicians should be aware of the low potency and wide dose range of IGla300. In some dogs, twice‐daily administration with or without meal‐time bolus injections may be necessary to achieve glycemic control. Monitoring with FGMS is essential for dose titration of IGla300. [ABSTRACT FROM AUTHOR]

The article discusses the challenges faced by individuals with type 1 diabetes who also struggle with obesity. While advancements in diabetes management have improved glycemic control and quality of life for those with type 1 diabetes, they have also led to weight gain and an increased risk of obesity. This combination of type 1 diabetes and obesity, known as "double diabetes," can lead to further complications and cardiovascular risks. The article highlights the need for evidence-based interventions and guidelines to address the dual treatment of type 1 diabetes and obesity. It also discusses the challenges in lifestyle modification, pharmacotherapy, and bariatric surgery for individuals with type 1 diabetes and obesity. The authors emphasize the importance of further research and a holistic approach to managing both conditions. [Extracted from the article]

Diabetes is a common disease that seriously endangers human health. Continuous glucose monitoring (CGM) is important for the prevention and treatment of diabetes. Glucose-sensing photonic nanochains (PNCs) have the advantages of naked-eye colorimetric readouts, short response time and noninvasive detection of diabetes, showing immense potential in CGM systems. However, the developed PNCs cannot disperse in physiological environment at the pH of 7.4 because of their poor hydrophilicity. In this study, we report a new kind of PNCs that can continuously and reversibly detect the concentration of glucose (Cg) in physiological environment at the pH of 7.4. Polyacrylic acid (PAA) added to the preparation of PNCs forms hydrogen bonds with polyvinylpyrrolidone (PVP) in Fe3O4@PVP colloidal nanoparticles and the hydrophilic monomer N-2-hydroxyethyl acrylamide (HEAAm), which increases the content of PHEAAm in the polymer shell of prepared PNCs. Moreover, 4-(2-acrylamidoethylcarbamoyl)-3-fluorophenylboronic acid (AFPBA), with a relatively low pKa value, is used as the glucose-sensing monomer to further improve the hydrophilicity and glucose-sensing performances of PNCs. The obtained Fe3O4@(PVP-PAA)@poly(AFPBA-co-HEAAm) PNCs disperse in artificial serum and change color from yellow-green to red when Cg increases from 3.9 mM to 11.4 mM, showing application potential for straightforward CGM. [ABSTRACT FROM AUTHOR]

Prediabetes is an intermediate state of glucose homeostasis whereby plasma glucose concentrations are above normal but below the threshold of diagnosis for diabetes. Over the last several decades, criteria for prediabetes have changed as the cut points for normal glucose concentration and diagnosis of diabetes have shifted. Global consensus does not exist for prediabetes criteria; as a result, the clinical course and risk for type 2 diabetes vary. At present, we can identify individuals with prediabetes based on three glycemic tests (hemoglobin A1c, fasting plasma glucose, and 2‐h plasma glucose during an oral glucose tolerance test). The majority of individuals diagnosed with prediabetes meet only one of these criteria. Meeting one, two, or all glycemic criteria changes risk for type 2 diabetes, but this information is not widely known and does not currently guide intervention strategies for individuals with prediabetes. This review summarizes current epidemiology, prognosis, and intervention strategies for individuals diagnosed with prediabetes and suggests a call for more precise risk stratification of individuals with prediabetes as elevated (one prediabetes criterion), high risk (two prediabetes criteria), and very high risk (three prediabetes criteria). In addition, the roles of oral glucose tolerance testing and continuous glucose monitoring in the diagnostic criteria for prediabetes need reassessment. Finally, we must reframe our goals for prediabetes and prioritize intensive interventions for those at high and very high risk for type 2 diabetes. [ABSTRACT FROM AUTHOR]

Introduction: Multiple daily injection insulin regimen (MDI) represents the most intensive insulin regimen used in the management of people with type 2 diabetes (PwT2D). Its efficacy regarding glycaemic control is counterbalanced by the increased risk of hypoglycaemia, frequently observed tendency to weight gain and necessity for frequent glucose monitoring. Recent introduction of novel antidiabetic medications with pleiotropic effects reaching far beyond the reduction of glycaemia (HbA1c), such as the glucagon-like peptide 1 receptor agonist (GLP-1 RA), has significantly widened the therapeutic options available for management of T2D. Consequently, there is currently a substantial number of PwT2D for whom the MDI regimen was initiated at a time when no other options were available. Yet, in present times, these individuals could benefit from simplified insulin regimens ideally taking advantage of the beneficial effects of the novel classes of antidiabetic medications. iGlarLixi (Suliqua®) is a once-daily fixed-ratio combination of basal insulin analogue glargine 100 U/ml and a GLP-1 RA lixisenatide. Methods: Insulin therapy DE-intensificAtion with iglarLixi (IDEAL) is a six-centre, open-label, parallel-group, active comparator, phase IV randomised controlled trial with a 24-week active treatment period examining the efficacy and safety of MDI regimen de-intensification with once-daily administration of iGlarLixi versus MDI regimen continuation in PwT2D on a backgroud therapy with metformin ± sodium-glucose cotransporter 2 inhibitor. Planned Outcomes: The primary objective is to compare the effects of MDI therapy de-intensification with iGlarLixi versus MDI regimen continuation regarding glycaemic control (HbA1c). Secondary objectives include detailed evaluation of the effects of MDI regimen de-intensification with iGlarLixi on glycaemic control using standardised continuous glucose monitoring (CGM) metrics and self-monitoring of plasma glucose. Furthermore, body weight and body composition analysis, quality of life and safety profile are evaluated. Trial Registration: ClinicalTrials.gov, identifier NCT04945070. [ABSTRACT FROM AUTHOR]

Introduction: This study aims to define the distribution of direct healthcare costs for people with diabetes treated in two healthcare regions in Italy, based on number of comorbidities and treatment regimen. Methods: This was a retrospective analysis using data from two local health authority administrative databases (Campania and Umbria) in Italy for the years 2014–2018. Data on hospital care, pharmaceutical and specialist outpatient and laboratory assistance were collected. All people with diabetes in 2014–2018 were identified on the basis of at least one prescription of hypoglycemic drugs (ATC A10), hospitalization with primary or secondary diagnosis of diabetes mellitus (ICD9CM 250.xx) or diabetes exemption code (code 013). Subjects were stratified into three groups according to their pharmaceutical prescriptions during the year: Type 1/type 2 diabetes (T1D/T2D) treated with multiple daily injections with insulin (MDI), type 2 diabetes on basal insulin only (T2D-Basal) and type 2 diabetes not on insulin therapy (T2D-Oral). Results: We identified 304,779 people with diabetes during the period for which data was obtained. Analysis was undertaken on 288,097 subjects treated with glucose-lowering drugs (13% T1D/T2D-MDI, 13% T2D-Basal, 74% T2D-Oral). Average annual cost per patient for the year 2018 across the total cohort was similar for people with T1D/T2D-MDI and people with T2D-Basal (respectively €2580 and €2254) and significantly lower for T2D-Oral (€1145). Cost of hospitalization was the main driver (47% for T1D/T2D-MDI, 45% for T2D-Basal, 45% for T2D-Oral) followed by drugs/devices (35%, 39%, 43%) and outpatient services (18%, 16%, 12%). Average costs increased considerably with increasing comorbidities: from €459 with diabetes only to €7464 for a patient with four comorbidities. Similar trends were found across all subgroups analysis. Conclusion: Annual cost of treatment for people with diabetes is similar for those treated with MDI or with basal insulin only, with hospitalization being the main cost driver. This indicates that both patient groups should benefit from having access to scanning continuous glucose monitoring (CGM) technology which is known to be associated with significantly reduced hospitalization for acute diabetes events, compared to self-monitored blood glucose (SMBG) testing. [ABSTRACT FROM AUTHOR]

Introduction: Short-term studies reported improved glycemic control and a decrease in eHbA1c (estimated hemoglobin A1c) in patients with type 1 diabetes during COVID-19 lockdown, but long-term changes are unknown. Therefore, the main objectives are to (1) analyze whether laboratory-measured HbA1c changed during and after two lockdowns and (2) investigate potential variables influencing HbA1c change. Methods: In this cohort study, 291 adults with type 1 diabetes were followed over 3 years including the prepandemic phase and two lockdowns. The data from medical records and validated questionnaires assessing health literacy (HLS-EU-Q16), diabetes self-management (DSMQ-R27), general self-efficacy (GSE), and social support (F-SOZU-K14) were used to analyze associations with HbA1c levels (N = 2370) by performing multivariable linear regressions. Results: The median age was 54 (38–63) years and 159 (54.6%) were male. All phases of the COVID-19 pandemic were associated with a significant increase in laboratory-measured HbA1c levels in percent (e.g., during first lockdown β = 0.23, 95% confidence interval (CI) 0.07–0.39, p = 0.005; during the second lockdown, β = 0.27, 95% CI 0.15–0.38, p < 0.001). HbA1c change during lockdowns was significantly affected by the number of checkups (β = −0.03, 95% CI −0.05 to −0.01, p = 0.010), the value of HbA1c at previous observation (β = 0.33, 95% CI 0.29–0.36, p < 0.001), educational level (secondary versus tertiary: β = 0.22, 95% CI 0.06–0.38, p = 0.008; primary versus tertiary: β = 0.31, 95% CI 0.10–0.52, p = 0.004), health literacy score (for each point: β = −0.03, 95% CI −0.05 to − 0.002, p = 0.034), and diabetes self-management score (for each point: β = −0.03, 95% CI −0.04 to −0.02, p < 0.001). The use of continuous glucose monitoring or insulin pump had no effect on HbA1c change. Conclusions: Lockdowns can lead to worsening glycemic control in patients with type 1 diabetes. Particularly patients with few check-ups, poor blood glucose values, deficits in diabetes self-management, low health literacy, and a low level of education seem to be at greater risk of worsening glycemic control during lockdowns and, therefore, require special medical care, e.g., through telemedicine. Trial Registration: ClinicalTrials.gov identifier, NCT04821921. [ABSTRACT FROM AUTHOR]

Introduction: Continuous glucose monitoring (CGM) introduces novel indicators of glycemic control. Methods: This cross-sectional study, based on the Swedish National Diabetes Register, examines 27,980 adults with type 1 diabetes. It explores the relationships between HbA1c (glycated hemoglobin) and various CGM-derived metrics, including TIR (time in range, representing the percentage of time within the range of 4–10 mmol/l for 2 weeks), TAR (time above range), TBR (time below range), mean glucose, standard deviation (SD), and coefficient of variation (CV). Pearson correlation coefficients and linear regression models were utilized for estimation. Results: The analysis included 46% women, 30% on insulin pump, 7% with previous coronary heart disease and 64% with retinopathy. Mean ± SD values were age 48 ± 18 years, diabetes duration 25 ± 16 years, HbA1c 58.8 ± 12.8 mmol/mol, TIR 58.8 ± 19.0%, TAR 36.3 ± 20.0%, TBR 4.7 ± 5.4%, mean sensor glucose 9.2 ± 2.0 mmol/l, SD 3.3 ± 1.0 mmol/l, and CV 36 ± 7%. The overall association between HbA1c and TIR was − 0.71 (Pearson's r), with R2 0.51 in crude linear regression and 0.57 in an adjusted model. R2 values between HbA1c and CGM mean glucose were 0.605 (unadjusted) 0.619 (adjusted) and TAR (unadjusted 0.554 and fully adjusted 0.568, respectively), while fully adjusted R2 values were 0.458, 0.175 and 0.101 between HbA1c and CGM SD, CGM CV and TBR, respectively. Conclusions: This descriptive study demonstrates that the degree of association between HbA1c and new and readily available CGM-derived metrics, i.e., time in range (TIR), time above range (TAR), and CGM mean glucose, is robust in assessing the management of individuals with type 1 diabetes in clinical settings. Metrics from CGM that pertain to variability and hypoglycemia exhibit only weak correlations with HbA1c. [ABSTRACT FROM AUTHOR]

This document provides comprehensive information on glucose monitoring and control testing for individuals with Type 1 or Type 2 diabetes. It discusses the importance of regular glucose measurements for monitoring therapy and assessing long-term risks. The document covers different methods of glucose measurement, including self-measurement of capillary blood glucose concentration (SMBG) and continuous glucose monitoring (CGM). It emphasizes the need for proper training and supervision in using CGM systems and highlights the benefits of CGM for children with Type 1 diabetes. The document also provides recommendations on using SMBG for different diabetes types and therapies. Additionally, it discusses the frequency of blood glucose measurements for different types of diabetes and therapy approaches. The document addresses the importance of self-measurement of capillary blood glucose concentration (SMBG) in patients with type 1 or insulin-dependent type 2 diabetes, even if a continuous glucose monitoring (CGM) system is used. The frequency of measurements varies depending on the type of diabetes and therapy approach. The document also provides information on self-measurement of blood glucose (SMBG) and continuous glucose monitoring (CGM) for individuals with diabetes. It emphasizes the importance of regular glucose measurements for proper diabetes management and discusses the different measurement methods, available systems, and specifications for measurement quality. The document also addresses the costs and refund of expenses for SMBG systems, as well as safety issues and practical implementation of the measurement. It highlights the use of CGM systems and the goals and indications for their use [Extracted from the article]

Introduction and Objective: Most patients with type 1 diabetes (T1D) in the United States are overweight (OW) or obese (OB), contributing to insulin resistance and suboptimal glucose control. The primary Food and Drug Administration-approved treatment for T1D is insulin, which may adversely affect weight. Tirzepatide is approved for managing type 2 diabetes, improves glucose control, facilitates weight loss, and improves cardiovascular disease outcomes. We assessed the use of tirzepatide in OW/OB subjects with T1D. Methods: This was a retrospective single-center real-world study in 62 OW/OB adult patients with T1D who were prescribed tirzepatide (treated group) and followed for 1 year. At least 3 months of use of tirzepatide was one of the inclusion criteria. Based on the inclusion criteria, this study represents 62 patients out of 184 prescribed tirzepatide. The control group included 37 OW/OB patients with T1D (computer frequency matched by age, duration of diabetes, gender, body mass index (BMI), and glucose control) who were not using any other weight-loss medications during the same period. The mean (±standard deviation [SD]) dose of weekly tirzepatide at 3 months was 5.6 ± 1.9 mg that increased to 9.7 ± 3.3 mg at 1 year. Results: The gender, mean baseline age, duration of diabetes, and glycosylated hemoglobin (HbA1c) were similar in the two groups, whereas BMI and weight were higher in the treated group. There were significantly larger declines in BMI and weight in the treated group than in controls across all time points among those in whom data were available. HbA1c decreased in the treated group as early as 3 months and was sustained through a 1-year follow-up (−0.67% at 1 year). As expected, insulin dose decreased at 3 months and throughout the study period. There were no reported hospitalizations from severe hypoglycemia or diabetic ketoacidosis. The mean glucose, time-in-range, time-above-range, SD, and coefficient of variation (continuous glucose monitoring metrics) significantly improved in the treated group. Conclusions: In this pilot (off label) study, we conclude that tirzepatide facilitated an average 18.5% weight loss (>46 pounds) and improved glucose control in OW/OB patients with T1D at 1 year. For safe use of tirzepatide in patients with T1D, we strongly recommend a large prospective randomized control trial in OW/OB patients with T1D. [ABSTRACT FROM AUTHOR]

This document discusses the challenges of using glucagon-like peptide (GLP) analogs for people with type 1 diabetes (T1D). It highlights the global issue of overweight and obesity and the associated health problems. While GLP analogs have been shown to be effective in improving glucose control and weight loss in type 2 diabetes (T2D), they are not currently approved for use in T1D by the FDA. The document also addresses the difficulties of obtaining insurance coverage for GLP analogs and the high cost of these medications. It provides tips for the safe use of GLP analogs in T1D patients. Another article discusses the use of GLP analogs in T1D patients, specifically the off-label use of semaglutide and tirzepatide. The authors found that both medications resulted in significant weight loss and improved glucose control without an increased risk of severe hypoglycemia or diabetic ketoacidosis. However, there are challenges in determining the appropriate dosage and potential side effects such as gastrointestinal issues. The authors stress the importance of personalized treatment and regular communication with healthcare providers. They also note the lack of randomized controlled trials in this population. [Extracted from the article]

Background: This study aimed to evaluate the accuracy of Dexcom G6 (DG6) and FreeStyle Libre-2 (FSL2) during aerobic training and high-intensity interval training (HIIT) in individuals with type 1 diabetes. Methods: Twenty-six males (mean age 29.3 ± 6.3 years and mean duration of diabetes 14.9 ± 6.1 years) participated in this study. Interstitial glucose levels were measured using DG6 and FSL2, while plasma glucose levels were measured every 10 min using YSI 2500 as the reference for glucose measurements in this study. The measurements began 20 min before the start of exercise and continued for 20 min after exercise. Seven measurements were taken for each subject and exercise. Results: Both DG6 and FSL2 devices showed significant differences compared to YSI glucose data for both aerobic and HIIT exercises. Continuous glucose monitoring (CGM) devices exhibited superior performance during HIIT than aerobic training, with DG6 showing a mean absolute relative difference of 14.03% versus 31.98%, respectively. In the comparison between the two devices, FSL2 demonstrated significantly higher effectiveness in aerobic training, yet its performance was inferior to DG6 during HIIT. According to the 40/40 criteria, both sensors performed similarly, with marks over 93% for all ranges and both exercises, and above 99% for HIIT and in the >180 mg/dL range, which is in accordance with FDA guidelines. Conclusions: The findings suggest that the accuracy of DG6 and FSL2 deteriorates during and immediately after exercise but remains acceptable for both devices during HIIT. However, accuracy is compromised with DG6 during aerobic exercise. This study is the first to compare the accuracy of two CGMs, DG6, and FSL2, during two exercise modalities, using plasma glucose YSI measurements as the gold standard for comparisons. It was registered at clinicaltrials.gov (NCT06080542). [ABSTRACT FROM AUTHOR]

Aims: Diabetic ketoacidosis (DKA) is a serious life-threatening condition caused by a lack of insulin, which leads to elevated plasma glucose and metabolic acidosis. Early identification of developing DKA is important to start treatment and minimize complications and risk of death. The aim of the present study is to develop and test prediction model(s) that gives an alarm about their risk of developing elevated ketone bodies during hyperglycemia. Methods: We analyzed data from 138 type 1 diabetes patients with measurements of ketone bodies and continuous glucose monitoring (CGM) data from over 30,000 days of wear time. We utilized a supervised binary classification machine learning approach to identify elevated levels of ketone bodies (≥0.6 mmol/L). Data material was randomly divided at patient level in 70%/30% (training/test) dataset. Logistic regression (LR) and random forest (RF) classifier were compared. Results: Among included patients, 913 ketone samples were eligible for modeling, including 273 event samples with ketone levels ≥0.6 mmol/L. An area under the receiver operating characteristic curve from the RF classifier was 0.836 (confidence interval [CI] 90%, 0.783–0.886) and 0.710 (CI 90%, 0.646–0.77) for the LR classifier. Conclusions: The novel approach for identifying elevated ketone levels in patients with type 1 diabetes utilized in this study indicates that CGM could be a valuable resource for the early prediction of patients at risk of developing DKA. Future studies are needed to validate the results. [ABSTRACT FROM AUTHOR]

Background: We used continuous glucose monitoring (CGM) data to investigate glycemic outcomes in a real-world population with type 1 diabetes (T1D) from South Korea, where the widespread use of CGM and the nationwide education program began almost simultaneously. Methods: Data from Dexcom G6 users with T1D in South Korea were collected between January 2019 and January 2023. Users were included if they provided at least 90 days of glucose data and used CGM at least 70% of the days in the investigational period. The relationship between CGM utilization and glycemic metrics, including the percentage of time in range (TIR), time below range (TBR), and time above range (TAR), was assessed. The study was approved by the Institutional Review Board of Samsung Medical Center (SMC 2023-05-030). Results: A total of 2288 users were included. Mean age was 41.5 years (57% female), with average uploads of 428 days. Mean TIR was 62.4% ± 18.5%, mean TBR <70 mg/dL was 2.6% ± 2.8%, mean TAR >180 mg/dL was 35.0% ± 19.3%, mean glucose was 168.1 ± 35.8 mg/dL, mean glucose management indicator was 7.2% ± 0.9%, and mean coefficient of variation was 36.7% ± 6.0%. Users with higher CGM utilization had higher TIR (67.8% vs. 52.7%), and lower TBR <70 mg/dL (2.3% vs. 4.7%) and TAR >180 mg/dL (30.0% vs. 42.6%) than those with low CGM utilization (P < 0.001 for all). Users whose data were shared with others had higher TIR than those who did not (63.3% vs. 60.8%, P = 0.001). Conclusions: In this South Korean population, higher CGM utilization was associated with a favorably higher mean TIR, which was close to the internationally recommended target. Using its remote data-sharing feature showed beneficial impact on TIR. [ABSTRACT FROM AUTHOR]

Objective: Insulin bolus doses derive from glucose levels and planned carbohydrate intake, although fat and protein impact glycemic excursions. We examined the impact of macronutrients and number of daily meals/snacks on glycemic outcomes in youth with type 1 diabetes. Methods: Youth (N = 136, ages 8–17) with type 1 diabetes completed 3-day food records, wore 3-day masked continuous glucose monitoring, and had A1c measurements every 3 months for 1 year. Diet data were analyzed using Nutrition Data System for Research. Longitudinal mixed models assessed effects of macronutrient intake and number of meals/snacks on glycemic outcomes. Results: At baseline, youth (48% male) had mean age of 12.8 ± 2.5 years and diabetes duration of 5.9 ± 3.1 years; 73% used insulin pumps. Baseline A1c was 8.1% ± 1.0%, percent time in range 70–180 mg/dL (%TIR) was 49% ± 17%, % time below range <70 mg/dL (%TBR) was 6% ± 8%, % time above range >180 mg/dL (%TAR) was 44% ± 20%, and glycemic variability as coefficient of variation (CV) was 41% ± 8%; macronutrient intake included 48% ± 5% carbohydrate, 36% ± 5% fat, and 16% ± 2% protein. Most youth (56%) reported 3–4 meals/snacks daily (range 1–9). Over 1 year, greater carbohydrate intake was associated with lower A1c (P = 0.0003), more %TBR (P = 0.0006), less %TAR (P = 0.002), and higher CV (P = 0.03). Greater fat intake was associated with higher A1c (P = 0.006), less %TBR (P = 0.002), and more %TAR (P = 0.005). Greater protein intake was associated with higher A1c (P = 0.01). More daily meals/snacks were associated with lower A1c (P = 0.001), higher %TIR (P = 0.0006), and less %TAR (P = 0.0001). Conclusions: Both fat and protein impact glycemic outcomes. Future automated insulin delivery systems should consider all macronutrients for timely insulin provision. The present research study derived from secondary analysis of the study registered under NCT00999375. [ABSTRACT FROM AUTHOR]

Laboratory measurement of hemoglobin A1c (HbA1c) has, for decades, been the standard approach to monitoring glucose control in people with diabetes. Continuous glucose monitoring (CGM) is a revolutionary technology that can also aid in the monitoring of glucose control. However, there is uncertainty in how best to use CGM technology and its resulting data to improve control of glucose and prevent complications of diabetes. The glucose management indicator, or GMI, is an equation used to estimate HbA1c based on CGM mean glucose. GMI was originally proposed to simplify and aid in the interpretation of CGM data and is now provided on all standard summary reports (i.e., average glucose profiles) produced by different CGM manufacturers. This Perspective demonstrates that GMI performs poorly as an estimate of HbA1c and suggests that GMI is a concept that has outlived its usefulness, and it argues that it is preferable to use CGM mean glucose rather than converting glucose to GMI or an estimate of HbA1c. Leaving mean glucose in its raw form is simple and reinforces that glucose and HbA1c are distinct. To reduce patient and provider confusion and optimize glycemic management, mean CGM glucose, not GMI, should be used as a complement to laboratory HbA1c testing in patients using CGM systems. [ABSTRACT FROM AUTHOR]

OBJECTIVE: To evaluate the association of insulin injection adherence, smart insulin pen engagement, and glycemic control using real-world data from 16 countries from adults self-administering basal insulin degludec and bolus insulin with a smart insulin pen (NovoPen 6 or NovoPen Echo Plus) alongside continuous glucose monitoring (CGM). RESEARCH DESIGN AND METHODS: Data were aggregated over 14-day periods. Treatment adherence was defined according to the number of missed basal and missed bolus insulin doses and smart pen engagement according to the number of days with data uploads. RESULTS: Data from 3,945 adults, including 25,157 14-day periods with ≥70% CGM coverage, were analyzed. On average, 0.2 basal and 6.0 bolus insulin doses were missed over 14 days. The estimated probability of missing at least one basal insulin dose over a 14-day period was 17.6% (95% CI 16.5, 18.7). Missing one basal or bolus insulin dose per 14 days was associated with a significant decrease in percentage of time with glucose levels in range (TIR) (3.9–10.0 mmol/L), of −2.8% (95% CI −3.7, −1.8) and −1.7% (−1.8, −1.6), respectively; therefore, missing two basal or four bolus doses would decrease TIR by >5%. Smart pen engagement was associated positively with glycemic outcomes. CONCLUSIONS: This combined analysis of real-world smart pen and CGM data showed that missing two basal or four bolus insulin doses over a 14-day period would be associated with a clinically relevant decrease in TIR. Smart insulin pens provide valuable insights into treatment injection behaviors. [ABSTRACT FROM AUTHOR]

OBJECTIVE: To determine how diabetes technologies, including continuous glucose monitoring (CGM) and automated insulin delivery (AID) systems, impact glycemic metrics, prevalence of severe hypoglycemic events (SHEs), and impaired awareness of hypoglycemia (IAH) in people with type 1 diabetes in a real-world setting within the U.S. RESEARCH DESIGN AND METHODS: In this retrospective, observational study with cross-sectional elements, participants aged ≥18 years were enrolled from the T1D Exchange Registry/online community. Participants completed a one-time online survey describing glycemic metrics, SHEs, and IAH. The primary objective was to determine the proportions of participants who reported achieving glycemic targets (assessed according to self-reported hemoglobin A1c) and had SHEs and/or IAH. We performed additional subgroup analyses focusing on the impact of CGM and insulin delivery modality. RESULTS: A total of 2,074 individuals with type 1 diabetes were enrolled (mean ± SD age 43.0 ± 15.6 years and duration of type 1 diabetes 26.3 ± 15.3 years). The majority of participants (91.7%) were using CGM, with one-half (50.8%) incorporating AID. Despite high use of diabetes technologies, only 57.7% reported achieving glycemic targets (hemoglobin A1c <7%). SHEs and IAH still occurred, with ∼20% of respondents experiencing at least one SHE within the prior 12 months and 30.7% (95% CI 28.7, 32.7) reporting IAH, regardless of CGM or AID use. CONCLUSIONS: Despite use of advanced diabetes technologies, a high proportion of people with type 1 diabetes do not achieve glycemic targets and continue to experience SHEs and IAH, suggesting an ongoing need for improved treatment strategies. [ABSTRACT FROM AUTHOR]

OBJECTIVE: Glycemia management in critical care is posing a challenge in frequent measuring and adequate insulin dose adjustment. In recent years, continuous glucose measurement has gained accuracy and reliability in outpatient and inpatient settings. The aim of this study was to assess the feasibility and accuracy of real-time continuous glucose monitoring (CGM) in ICU patients after major abdominal surgery. RESEARCH DESIGN AND METHODS: We included patients undergoing pancreatic surgery and solid organ transplantation (liver, pancreas, islets of Langerhans, kidney) requiring an ICU stay after surgery. We used a Dexcom G6 sensor, placed in the infraclavicular region, for real-time CGM. Arterial blood glucose measured by the amperometric principle (ABL 800; Radiometer, Copenhagen, Denmark) served as a reference value and for calibration. Blood glucose was also routinely monitored by a StatStrip bedside glucose meter. Sensor accuracy was assessed by mean absolute relative difference (MARD), bias, modified Bland-Altman plot, and surveillance error grid for paired samples of glucose values from CGM and acid-base analyzer (ABL). RESULTS: We analyzed data from 61 patients and obtained 1,546 paired glucose values from CGM and ABL. Active sensor use was 95.1%. MARD was 9.4%, relative bias was 1.4%, and 92.8% of values fell in zone A, 6.1% fell in zone B, and 1.2% fell in zone C of the surveillance error grid. Median time in range was 78%, with minimum (<1%) time spent in hypoglycemia. StatStrip glucose meter MARD compared with ABL was 5.8%. CONCLUSIONS: Our study shows clinically applicable accuracy and reliability of Dexcom G6 CGM in postoperative ICU patients and a feasible alternative sensor placement site. [ABSTRACT FROM AUTHOR]

Aims: To synthesize the available evidence to better understand the effectiveness of interventions to prevent or delay hyperglycaemia and Type 2 diabetes mellitus (T2DM) postnatally in women with current or previous gestational diabetes mellitus (GDM). Methods: We searched five databases up to December 2020 for primary peer‐reviewed articles reporting postpartum glycaemic outcomes in women with (previous) GDM following pharmacological or lifestyle intervention. Outcomes were relative risk of T2DM or continuous measures of glycaemia, change or at follow‐up. A minimum of two studies evaluating the same intervention‐outcome combination were needed to conduct meta‐analyses, otherwise studies were described narratively. Meta‐regression was used to evaluate whether associations varied by additional variables. We assessed risk of bias using the Critical Appraisal Skills Programme checklist. PROSPERO record CRD42018102380. Results: We included 31 studies in the review with a total sample size of 8624 participants, and 26 studies in meta‐analyses. Two‐thirds of studies followed up participants at 1 year or less. Pharmacological interventions were associated with reduced risk of T2DM (0.80 [95% CI 0.64–1.00], n = 6 studies), as were lifestyle interventions albeit with a smaller effect size (0.88 [95% CI 0.76–1.01], n = 12 studies). Dietary and physical activity interventions were associated with a small reduction in fasting plasma glucose, particularly in longer interventions, but inconsistent effects were seen for other continuous outcomes. Conclusions: Although possibly due to chance, interventions to reduce hyperglycaemia after GDM may be effective. Future research should improve understanding of how interventions affect glucose control and how to optimise interventions for this population. [ABSTRACT FROM AUTHOR]

Aims: To explore the feasibility and potential benefits of a peer support programme for adults with insulin‐treated type 2 diabetes (T2D) starting continuous glucose monitoring (CGM). Methods: This part of the Steno2tech study is an exploratory, single‐centre, open‐labelled, prospective, randomised controlled trial (RCT). A total of 60 participants were randomised 2:1 to 12 months of CGM with or without peer support. All participants received a 3‐h diabetes self‐management education course including a CGM part on how to use the CGM and interpret the CGM‐derived data. Peer support consisted of three 3‐h peer support meetings over the first 6 months of the study period with groups of three to six people. The exploratory outcomes included the acceptability and feasibility of the peer support intervention, and the between‐group difference in change in several glycaemic, metabolic and participant‐reported outcomes measured at baseline, 6 and 12 months. Results: The peer support intervention was found acceptable and feasible. Participants shared their experiences of using and interpreting CGM data and its association with health behaviour. While both groups had improvements in glycaemic, metabolic and participant‐reported outcomes, there were no significant between‐group differences. Conclusions: Although feasible, we found no measured additional benefits when adding a peer support programme after starting CGM in this exploratory RCT including adults with insulin‐treated T2D. Understanding the perceived effect of and preferences for a peer support intervention from the participants' points of view, including why individuals declined to participate, would be of value for future research. [ABSTRACT FROM AUTHOR]

Introduction: Post‐bariatric hypoglycaemia (PBH) is a rare yet disabling clinical condition, mostly reported after Roux‐en‐Y gastric bypass (RYGB) surgery. RYGB is one of the most widely used and effective bariatric procedures. The pathophysiology of PBH remains unclear, and treatment options are limited in effectiveness and/or carry significant side effects. Acarbose slows carbohydrates digestion and absorption and is generally considered first‐line pharmacological treatment for PBH but its gastrointestinal side effects limit patient compliance. Canagliflozin inhibits intestinal and renal sodium‐dependent glucose absorption and reduces postprandial excursions of glucose, insulin and incretins after RYGB – effects that could be beneficial in ameliorating PBH. Aims: The trial aims to investigate how blood glucose levels are affected during daily living in subjects with PBH during treatment with canagliflozin or acarbose compared with placebo, and to study the meal‐induced entero‐endocrine mechanisms implied in the treatment responses. Methods: In a double‐blinded, randomized, crossover clinical trial, HypoBar I will investigate the effectiveness in reducing the risk of PBH, safety, ambulatory glucose profile and entero‐endocrine responses when PBH is treated with canagliflozin 300 mg twice daily during a 4‐week intervention period, compared with acarbose 50 mg thrice daily or placebo. Ethics and Dissemination: HypoBar I is approved by the Local regulatory entities. Results will be published in peer‐reviewed journals. Conclusion: If effective, well‐tolerated and safe, canagliflozin could be a novel treatment for people with PBH. HypoBar I might also unravel new mechanisms underlying PBH, potentially identifying new treatment targets. Trial Registration: EudraCT number 2022–000157‐87. [ABSTRACT FROM AUTHOR]

Aims: While continuous glucose monitoring (CGM) and associated technologies have positive effects on metabolic control in young people with type 1 diabetes (T1D), less is known about their impact on quality of life (QoL). Here, we quantified CGM satisfaction and QoL in young people with T1D and their parents/caregivers to establish (i) the relationship between QoL and CGM satisfaction and (ii) the impact of the treatment regimen on QoL. Methods: This was a cross‐sectional study of children and adolescents with T1D on different treatment regimens (multiple daily injections, sensor‐augmented pumps and automated insulin delivery). QoL was assessed with the KINDL instrument, and CGM satisfaction with the CGM‐SAT questionnaire was evaluated in both youths with T1D and their parents. Results: Two hundred and ten consecutively enrolled youths with T1D completed the KINDL and CGM‐SAT questionnaires. The mean total KINDL score was greater than neutral in both subjects with T1D (3.99 ± 0.47) and parents (4.06 ± 0.40), and lower overall CGM‐SAT scores (i.e., higher satisfaction) were significantly associated with higher QoL in all six KINDL subscales (p < 0.05). There were no differences in KINDL scores according to delivery technology or when participants were grouped according to optimal and sub‐optimal glucose control. Conclusions: Higher satisfaction with recent CGMs was associated with better QoL in all dimensions. QoL was independent of both the insulin delivery technology and glycaemic control. CGM must be further disseminated. Attention on perceived satisfaction with CGM should be incorporated with the clinical practice to improve the well‐being of children and adolescents with T1D and their families. [ABSTRACT FROM AUTHOR]

Currently, glycated hemoglobin A1c (HbA1c) has been widely used to assess the glycemic control of patients with diabetes. However, HbA1c has certain limitations in describing both short-term and long-term glycemic control. To more accurately evaluate the glycemic control of diabetes patients, the continuous glucose monitoring (CGM) technology has emerged. CGM technology can provide robust data on short-term glycemic control and introduce new monitoring parameters such as time in range, time above range, and time below range as indicators of glycemic fluctuation. These indicators are used to describe the changes in glycemic control after interventions in clinical research or treatment modifications in diabetes patient care. Recent studies both domestically and internationally have shown that these indicators are not only associated with microvascular complications of diabetes mellitus but also closely related to cardiovascular disease complications and prognosis. Therefore, this article aims to comprehensively review the association between CGM-based glycemic parameters and cardiovascular disease complications by analyzing a large number of domestic and international literature. The purpose is to provide scientific evidence and guidance for the standardized application of these indicators in clinical practice, in order to better evaluate the glycemic control of diabetes patients and prevent the occurrence of cardiovascular disease complications. This research will contribute to improving the quality of life for diabetes patients and provide important references for clinical decision-making. [ABSTRACT FROM AUTHOR]

Aim: To investigate the relationship of fat in the pancreas with time spent in different glycaemic ranges. Methods: Abdominal magnetic resonance imaging at 3.0 Tesla was used to quantify fat in the pancreas as both continuous [i.e. intra‐pancreatic fat deposition (IPFD)] and binary (i.e. fatty change of the pancreas vs. normal pancreas) variables. Dexcom G6 devices were used to collect continuous glucose monitoring data every 5 min over a continuous 7‐day period. Time above range (TAR), time in range (TIR) and time below range were computed. Statistical models were built to adjust for age, sex, body composition, and other covariates in linear regression analysis and analysis of covariance. Results: In total, 38 individuals were studied. IPFD was significantly associated with TAR (p =.036) and TIR (p =.042) after adjustment for covariates. For every 1% increase in IPFD, there was a 0.3 unit increase in TAR and a decrease in TIR. Individuals with fatty change of the pancreas, when compared with those with normal pancreas, had significantly higher TAR (p =.034) and lower TIR (p =.047) after adjustment for covariates. Neither IPFD (p =.805) nor fatty change of the pancreas (p =.555) was associated with time below range after adjustment for covariates. Conclusion: Increased fat in the pancreas is associated with excessive glycaemic variability. Fatty change of the pancreas may contribute to heightening the risk of cardiovascular diseases. [ABSTRACT FROM AUTHOR]