The promotion of quality of life for adolescents with type 1 diabetes mellitus enables them to achieve physical, psychological, and social development. Improving quality of life positively influences their well-being in adulthood.

This study aimed to identify the factors influencing quality of life in adolescents with type 1 diabetes mellitus.

Data were collected from April 2022 to February 2023. The quality of life of 146 adolescents with type 1 diabetes mellitus was analyzed. The data were analyzed using IBM SPSS Statistics 25.0, with t-tests, ANOVA, Pearson's correlation, and stepwise multiple regression.

The quality of life of adolescents with type 1 diabetes was significantly correlated with depression (r = -0.31, p <0.001) and diabetes distress (r = -0.42, p <0.001). Stepwise multiple regression analysis identified diabetes distress (β = -0.38, p <0.001) and insulin treatment (β = 0.15, p = 0.048) as factors influencing quality of life.

Periodic education and nursing interventions to improve self-care capacity for adolescents with type 1 diabetes mellitus are essential for reducing diabetes distress. Additionally, it is important to promote the use of insulin pump at the national level, include expanding insurance coverage and offering personalized insulin pump education.

Continuous glucose monitoring (CGM) can improve health for people with diabetes but is limited in primary care (PC). Nurse Practitioners (NPs) in PC can improve diabetes management through CGM, but NPs' interest in CGM and support needed are unclear.

We describe behaviors and attitudes related to CGM for diabetes management among NPs in PC.

This cross-sectional web-based survey of NPs practicing in PC settings used descriptive statistics to describe CGM experience and identify resources to support prescribing. We used multivariable regression to explore characteristics predicting prescribing and confidence using CGM for diabetes.

Nurse practitioners in hospital-owned settings were twice as likely to have prescribed CGM (odds ratio [OR] = 2.320, 95% CI [1.097, 4.903]; p = .002) than private practice; those in academic medical centers were less likely (OR = 0.098, 95% CI [0.012, 0.799]; p = .002). Past prescribing was associated with favorability toward future prescribing (coef. = 0.7284, SE = 0.1255, p < .001) and confidence using CGM to manage diabetes (type 1: coef. = 3.57, SE = 0.51, p < .001; type 2: coef. = 3.49, SE = 0.51, p < .001). Resources to prescribe CGM included consultation with an endocrinologist (62%), educational website (61%), and endocrinological e-consultations (59%).

Nurse practitioners are open to prescribing CGM and can improve diabetes management and health outcomes for PC patients.

Research should explore mechanisms behind associations with CGM experience and attitudes. Efforts to advance CGM should include educational websites and endocrinology consultations for NPs in PC.

This scoping review synthesises the existing literature on racial and ethnic disparities in the utilisation of continuous glucose monitors (CGMs) among adults and children with diabetes in the USA. The primary objective is to describe the extent and nature of these disparities, with the broader goal of informing future research and interventions to address health inequities.

Guided by the Joanna Briggs Institute methodological framework, this review will systematically search PubMed, Embase and Scopus for relevant studies. Included studies will focus on individuals diagnosed with type 1 or type 2 diabetes in the USA. Selection criteria will prioritise studies reporting demographic factors, CGM usage patterns and associated health outcomes. The primary outcome is the extent of racial and ethnic disparities in CGM utilisation. Data synthesis will use the National Institute on Minority Health and Health Disparities Framework (NIMHD) to uncover patterns of CGM utilisation among racial-ethnic groups. The NIMHD facilitates a multilevel examination of the factors influencing CGM initiation, continued use and attrition by integrating individual, interpersonal, community and societal level influences. This comprehensive approach provides a nuanced understanding of the barriers and facilitators shaping CGM usage across diverse populations. By applying the NIMHD framework, this review aims to identify existing disparities, uncover gaps in the literature and offer direction for future research and interventions.

As this study involves a review of previously published literature and does not involve human subjects research, institutional review board approval will not be pursued. Findings will be disseminated through peer-reviewed publications, conference presentations and lay summaries. LITERATURE REVIEW REGISTRATION NUMBER: https://doi.org/10.17605/OSF.IO/RGW6M.

It is critical to ensure that lifestyle change programs are tailored to the person with prediabetes needs and wishes. However, programs that are carried out in research settings to delay or prevent Type 2 diabetes in people with prediabetes do not translate easily to everyday settings. There is a need to explore further the perceptions of people with prediabetes about the condition and their role in self-management to better balance the content of intervention programs for prediabetes with the participants' life context and experience. For this purpose, we invited 21 persons with prediabetes from four primary healthcare centers in Region Stockholm, Sweden, for individual interviews. Transcripts were analyzed with qualitative content analysis. Two main themes were identified, prediabetes: a condition between health and disease and I must manage prediabetes myself but need support. This in-between state has a serious impact on the decisions that people with prediabetes make concerning self-management and behavioral changes. One of the main findings of this study highlights the importance of communicating the diagnosis of prediabetes clearly and the importance of preventive actions as this can trigger behavioral change. People with prediabetes in our study shed light on different needs for support to make and maintain behavioral change which requires a person-centered approach. This support was described internally, from family and peers, or externally from healthcare professionals. These results will be used in a codesign study where healthcare professionals and persons with prediabetes discuss the components of a person-centered model for a behavioral change intervention in primary healthcare.

Young patients aged 16 to 25 years with type 1 diabetes (T1D) often encounter challenges related to deteriorating disease control and accelerated complications. Mobile apps have shown promise in enhancing self-care among youth with diabetes. However, inconsistent findings suggest that further evidence is necessary to confirm the effectiveness of app-based interventions.

This study aims to evaluate the effectiveness of the Healthcare CEO app in patients with T1D transitioning from adolescence to early adulthood.

A 2 arms, double-blind, randomized controlled trial will be conducted over a 9-month period, with strategies designed to enhance treatment fidelity. The study expects to enroll 96 patients with T1D, aged 16 to 25 years. Participants will be randomly assigned to either the experimental or control group through central randomization. The intervention will be implemented using the Healthcare CEO app, which consists of 11 interfaces. The research will compare differences in disease control outcomes, confidence in self-management, self-care behaviors, emotional distress, quality of life, and specific diabetes-related knowledge between the 2 groups at baseline and 3, 6, and 9 months after intervention. Additionally, changes within the experimental group will be analyzed before and after the intervention.

The study was funded in August 2020. It was originally scheduled from August 2020 to July 2022 but was interrupted by the COVID-19 pandemic after enrolling 38 participants, with preliminary results anticipated for publication by November 2024. Recruitment resumed in August 2023, with findings expected to be finalized by July 2025.

The Healthcare CEO app is a comprehensive solution tailored specifically for individuals with T1D transitioning from adolescence to early adulthood. This innovative app has the potential to improve the quality of care for adolescents with T1D during this critical stage and may serve as valuable evidence in support of app-based intervention strategies.

ClinicalTrials.gov NCT05022875; https://www.clinicaltrials.gov/study/NCT05022875.

DERR1-10.2196/59871.

The development of electrochemical glucose sensors with high sensitivity, specificity, and stability, enabling real-time continuous monitoring, has posed a significant challenge. However, an opportunity exists to fabricate electrochemical glucose biosensors with optimal performance through innovative device structures and surface modification materials. This paper provides a comprehensive review of recent advances in electrochemical glucose sensors. Novel classes of nanomaterials-including metal nanoparticles, carbon-based nanomaterials, and metal-organic frameworks-with excellent electronic conductivity and high specific surface areas, have increased the availability of reactive sites to improved contact with glucose molecules. Furthermore, in line with the trend in electrochemical glucose sensor development, research progress concerning their utilisation with sweat, tears, saliva, and interstitial fluid is described. To facilitate the commercialisation of these sensors, further enhancements in biocompatibility and stability are required. Finally, the characteristics of the ideal electrochemical glucose sensor are described and the developmental trends in this field are outlines.

Thanks to its structural characteristics and signal patterns similar to those of human brain synapses, memristors are widely believed to be applicable for neuromorphic computing. However, to our knowledge, memristors have not been effectively applied in the biomedical field, especially in disease diagnosis and health monitoring. In this work, a blood-based biomemristor was prepared for in vitro detection of hyperglycemia and hyperlipidemia. It was found that the device exhibits excellent resistance switching (RS) behavior at lower voltage biases. Through mechanism analysis, it has been confirmed that the RS behavior is driven by Ohmic conduction and ion rearrangement. Furthermore, the hyperglycemia and hyperlipidemia detection devices were constructed for the first time based on memristor logic circuits, and circuit simulations were conducted. These results confirm the feasibility of blood-based biomemristors in detecting hyperglycemia and hyperlipidemia, providing new prospects for the important application of memristors in the biomedical field.

The burden of diabetes is rising in developing countries, and this is significantly linked to the increasing prevalence of poor glycemic control. The cost of glycated haemoglobin (HbA1c) testing is a barrier to timely glycemic assessments, but newer tests such as glycated albumin may be cheaper and tempting alternatives. Additional research must ascertain if glycated albumin (GA) can act as a viable supplement or alternative to conventional HbA1c measurements for glycemic control in diabetic individuals. GA as a biomarker is an emerging area of interest, particularly for those who display unreliable HbA1c levels or cannot afford the test. This study aims to investigate the prevalence of poor glycemic control in outpatient diabetic patients and the utility of glycated albumin in this population's monitoring of glycemic control. Method. A cross-sectional study of 203 diabetic patients will be conducted at the Dodoma Regional Referral Hospital and Benjamin Mkapa Hospital from August 1st, 2023, to August 31st, 2024. Patients diagnosed with diabetes mellitus for over six months will be screened for eligibility. Informed consent, history, clinical examination, and voluntary blood sample collection will be obtained from all eligible patients. Glycated Albumin levels will be obtained from the same blood samples collected. The glycemic status of all patients will be defined as per HbA1c, and a level of greater than 7% will considered as a poor control. The analysis will be computed with SPSS version 28.0, and a predictor variable, P<0.05, will be regarded as statistically significant, with the utility of GA determined by plotting the area under the ROC curve and the confusion matrix.

Objective: Continuous glucose monitoring (CGM) devices are integral in the outpatient care of people with type 1 diabetes, although they lack inpatient labeling. Food and Drug Administration began allowing inpatient use during the coronavirus disease 2019 (COVID-19) pandemic, with some accuracy data now available, primarily from adult hospitals. Pediatric inpatient data remain limited, particularly during diabetic ketoacidosis (DKA) admissions and for patients receiving intravenous (IV) insulin. Design and Methods: This retrospective chart review compared point-of-care glucose values to personal Dexcom G6 sensor data during pediatric hospitalizations. Accuracy was assessed using mean absolute relative difference (MARD), Clarke Error Grids, and the percentage of values within 15/20/30% if glucose value >100 mg/dL and 15/20/30 mg/dL if glucose value ≤100 mg/dL. Results: Matched paired glucose values (N = 612) from 36 patients (median age 14 years, 58.3% non-Hispanic White, 47.2% male) and 42 inpatient encounters were included in this subanalysis of DKA admissions. The MARDs for DKA and non-DKA admissions (N = 503) were 11.8% and 11.7%, with 97.6% and 98.6% of pairs falling within A and B zones of the Clarke Error Grid, respectively. Severe DKA admissions (pH <7.15 and/or bicarbonate <5 mmol/L) had a MARD of 8.9% compared to 14.3% for nonsevere DKA admissions. The MARD during administration of IV insulin (N = 266) was 13.4%. Conclusions: CGM accuracy is similar between DKA and non-DKA admissions and is maintained in severe DKA and during IV insulin administration, suggesting potential usability in pediatric hospitalizations. Further study on the feasibility of implementation of CGM in the hospital is needed.

Real-time continuous glucose monitoring (CGM) is effective for diabetes management in cases of type 1 diabetes and adults with type 2 diabetes (T2D) but has not been assessed in adolescents and young adults (AYAs) with T2D. The objective of this pilot interventional study was to assess the feasibility and acceptability of real-time CGM use in AYAs with T2D.

Adolescents and young adults (13-21 years old) with T2D for six months or more and hemoglobin A1c (A1c) greater than 7%, on any Food and Drug Administration-approved treatment regimen, were included. After a blinded run-in period, participants were given access to a real-time CGM system for 12 weeks. The use and acceptability of the real-time CGM were evaluated by sensor usage, surveys, and focus group qualitative data.

Participants' (n = 9) median age was 19.1 (interquartile range [IQR] 16.8-20.5) years, 78% were female, 100% were people of color, and 67% were publicly insured. Baseline A1c was 11.9% (standard deviation ±2.8%), with median diabetes duration of 2.5 (IQR 1.4-6) years, and 67% were using insulin. Seven participants completed the study and demonstrated statistically significant improvement in diabetes-related quality of life, with the mean Pediatric Quality of Life inventory (PedsQL) diabetes score increasing from 70 to 75 after using CGM (P = .026). Focus group results supported survey results that CGM use among AYAs with T2D is feasible, can improve quality of life, and has the potential to modify behavior.

Real-time CGM is feasible and acceptable for AYAs with T2D and may improve the quality of life of patients with diabetes. Larger randomized controlled trials are needed to assess the effects on glycemic control and healthy lifestyle changes.

Health care professionals (HCPs) play a central role in leveraging technologies to support individuals with diabetes. This mixed-method study was completed to determine the feasibility of implementing periodic continuous glucose monitoring (CGM) in a primary care setting.

This study aimed to evaluate and describe the experiences of using periodic CGM with data visualization tools in patients with type 2 diabetes to foster a person-centered approach in a primary care setting.

Fifty outpatients aged ≥18 years, diagnosed with type 2 diabetes, and with a disease duration of at least 2 years were included in this study. Data were collected from April 2021 to January 2022. Patients completed a single period of sensor measurements for 28 days and a diabetes questionnaire about feelings and experiences of health care. HbA1c was also measured. A focus group interview was conducted to evaluate and describe the HCPs experiences of using periodic CGM.

Patients reported to HCPs that the CGM device was comfortable to wear and noted that LibreView was easy to use when scanning the sensor to obtain and visualize the glucose levels and trends. Data availability of CGM data was >70 %.Clinical observations revealed a mean reduction in HbA1c, mmol/mol from 60.06 [7.65 %] at baseline to 55.42 [7.20 %] after 4 weeks (p < 0.001). Two categories were identified: 1) Fostering dialogue on self-care and 2) Promoting understanding.

The HCPs and participants in this study had a positive experience or viewed the implementation of periodic CGM with data visualization tools as a positive experience and appeared to be feasible for implementation in a primary care setting.

Gold nanoparticles (AuNPs) have unique features that might lead to the development of a new class of diabetic medicines. AuNPs were biosynthesized utilizing sodium-alginate. UV-Vis-spectroscopy, Fourier transforms infrared, field emission scanning electron microscopy (FESEM), and energy dispersive X-ray were used to examine the particles. The potential of AuNPs for improving the diabetes condition was examined along with swimming in rats. FESEM image revealed the spherical morphology with an average particle size of 106.6 ± 20.8 nm. In the diabetic group, serum glucose, blood urea nitrogen (BUN), creatinine, cholesterol, and triglyceride (TG) levels were significantly higher than the control group. Low-density lipoprotein (LDL) was significantly higher and high-density lipoprotein (HDL) was significantly lower in the diabetic group compared to the control group. Malondialdehyde (MDA) levels were also significantly higher in the D group. However, in the groups treated with swimming and gold, these parameters were significantly improved. Specifically, serum-glucose, BUN, creatinine, cholesterol, and TG levels were significantly reduced, while LDL was significantly decreased in the diabetic + swimming + AuNPs group and HDL was significantly increased in the diabetic + AuNPs group. MDA levels were significantly decreased in the treated groups, and other antioxidants were significantly improved in the diabetic + swimming + AuNPs group. Catalase levels were also significantly improved in the D + gold group. It can be concluded that both AuNPs and swimming can decrease diabetic complications.

This study aimed to determine whether patients with type 2 diabetes can benefit from a meal plan designed based on diabetes management guidelines to improve blood glucose levels. Participants were divided into intervention and control groups. The intervention group consumed a diabetic diet for 2 weeks, while the control group consumed their normal diet. After 2 weeks, the groups switched their dietary regimens. The participants' demographic and clinical characteristics were evaluated, including factors such as blood pressure, blood lipid levels, weight and waist circumference, blood glucose levels (self-monitored and continuously monitored), nutritional status, and blood-based markers of nutrient intake. The dietary intervention group improved waist circumference, body fat percentage, low-density lipoprotein cholesterol, triglyceride levels, and glucose. The energy composition ratio of carbohydrates and proteins changed favorably, and sugar intake decreased. In addition, the proportion of continuous glucose monitoring readings within the range of 180-250 mg/dL was relatively lower in the intervention group than that of the control group. Meals designed based on diabetes management guidelines can improve clinical factors, including stable blood glucose levels in daily life, significantly decrease the carbohydrate energy ratio, and increase the protein energy ratio. This study can help determine the role of dietary interventions in diabetes management and outcomes.

Maintaining positive health behaviours promotes better health outcomes for people with type 1 diabetes (T1D). However, implementing these behaviours may also lead to additional management burdens and challenges. Diabetes technologies, including continuous glucose monitoring systems, automated insulin delivery systems, and digital platforms, are being rapidly developed and widely used to reduce these burdens. Our aim was to review recent evidence to explore the influence of these technologies on health behaviours and well-being among adults with T1D and discuss future directions.

Current evidence, albeit limited, suggests that technologies applied in diabetes self-management education and support (DSME/S), nutrition, physical activity (PA), and psychosocial care areas improved glucose outcomes. They may also increase flexibility in insulin adjustment and eating behaviours, reduce carb counting burden, increase confidence in PA, and reduce mental burden. Technologies have the potential to promote health behaviours changes and well-being for people with T1D. More confirmative studies on their effectiveness and safety are needed to ensure optimal integration in standard care practices.

Introduction Our department conducted a retrospective cohort study to compare the efficacy of continuous glucose monitoring devices versus capillary blood glucose in the glycemic control of inpatient type 2 diabetes on intensive insulin therapy in a Portuguese hospital. The use of continuous glucose monitoring devices was associated with improved glycemic control, including an increased number of glucose readings within target range and reduced hyperglycemic events, being safe concerning hypoglycemias. This is the cost-effectiveness analysis associated with these results. Aim The primary objective was to compare the cost-effectiveness of achieving glycemic control, defined as the number of patients within glycemic goals, between groups. Secondary endpoints included cost-effectiveness analyses of each time in range goal, and each percentual increment in time in range. Methods We defined each glycemic goal as: "readings within range (70-180 mg/dL) >70%", "readings below range (below 70 mg/dL) <4%", "severe hypoglycemia (below 54 mg/dL) <1%", "readings above range (above 180 mg/dL) <25%", "very high glycemic readings (above 250 mg/dL) <5%". Results Continuous glucose monitoring showed lower median cost per effect for the primary outcome (€11.1 vs. €34.9/patient), with lower cost for readings in range (€7.8 vs. €11.6/patient) and for both readings above range goals ("above 180mg/dL": €7.4 vs. €9.9/patient, and "above 250mg/dL": €6.9 vs. €17.4/patient). Conclusions There are no published data regarding the cost-effectiveness of continuous glucose monitoring devices in inpatient settings. Our results show that continuous glucose monitoring devices were associated with an improved glycemic control, at a lower cost, and endorse the feasibility of incorporating these devices into hospital settings, presenting a favorable cost-effective option compared to capillary blood glucose.

Describe a method in a real-world setting to identify persons with undiagnosed prediabetes and type 2 diabetes through an interprofessional collaboration between Public Dental Services and Primary Health Care in Regions Stockholm.

A descriptive observational study.

The study was conducted at seven sites in the region of Stockholm, Sweden. Each collaborating site consisted of a primary health clinic and dental clinic.

Study participants included adults over 18 years of age who visited the Public Dental Services and did not have a medical history of prediabetes or type 2 diabetes.

Selective screening is conducted in accordance with a risk assessment protocol at the Public Dental Services. In the investigated method, DentDi (Dental and Diabetes), adults diagnosed with caries and/or periodontitis over a cut-off value are referred to the Primary Health Care clinic for screening of prediabetes and type 2 diabetes.

DentDi, introduced at seven sites, between the years 2017 and 2020, all of which continue to use the method today. A total of 863 participants from the Public Dental Services were referred to the Primary Health Care. Of those 396 accepted the invitation to undergo screening at the primary health care centre. Twenty-four individuals did not meet the inclusion criteria, resulting in a total of 372 persons being included in the study. Among the 372 participants, 27% (101) had elevated glucose levels, of which 12 were diagnosed with type 2 diabetes and 89 with prediabetes according to the study classification.

DentDi is a feasible method of interprofessional collaboration where each profession contributes with the competence included in everyday clinical practice for early identification of persons with prediabetes and type 2 diabetes with a complete chain of care. The goal is to disseminate this method throughout Stockholm County and even other regions in Sweden.

ST-segment elevation myocardial infarction (STEMI) presents a serious cardiovascular condition requiring prompt intervention. Dysglycaemia has been identified as a significant risk factor impacting STEMI prognosis. However, limited research has focused on comprehensively examining the association between glucose dynamics during the perioperative period and patient outcomes. This study aims to address this gap by leveraging continuous glucose monitoring (CGM) technology to gain real-time insights into glucose fluctuations and their potential impact on STEMI prognosis.

This is a multicentre, prospective, 3-year follow-up cohort study. Between May 2023 and May 2024, 550 eligible STEM patients who underwent percutaneous coronary intervention are expected to be recruited. Using the CGM system, continuous glucose levels will be collected throughout the perioperative phase. Key clinical parameters, including cardiac biomarkers, angiographic findings and major adverse cardiovascular events, will be assessed in relation to glucose profile.

The study was approved by the Medical Research Ethics Committee of The First Affiliated Hospital of University of Science and Technology of China and will be conducted in accordance with the moral, ethical and scientific principles of the Declaration of Helsinki. Written informed consent will be obtained from all participants before any study-related procedures are implemented. Study results will be disseminated through conferences and peer-reviewed scientific journals.

ChiCTR2300069662.

To evaluate the effectiveness of DiabeText, a low-intensity, multifaceted, mobile health (mHealth) intervention to support medication taking and lifestyle change targeted to people with type 2 diabetes (T2D).

Phase III, 12-months, two-arm (1:1 allocation ratio), randomized parallel-group trial.

We will recruit 740 adults with glycated hemoglobin (A1c) >8% (>64 mmol/mol) and with at least one prescription of a non-insulin antidiabetic drug. They will be allocated to a control (usual care) group or an intervention (DiabeText messaging intervention) group. The primary outcome measure will be A1c at 12 months follow-up. Secondary outcomes will include medication possession ratio and behavioral and psychological outcomes.

Recent trials suggest that digital health interventions can effectively support diabetes self-management improving T2D control and reducing important T2D complications. In Spain this type of interventions is understudied.

This trial will strengthen the evidence base of the impact of mHealth interventions to support diabetes self-management. If effective, DiabeText may offer a low-cost and highly scalable strategy to improve health at the population level in a sustainable way.

ClinicalTrials.gov identifier NCT05006872; Official Title: Supporting People with Type 2 Diabetes in Effective Use of their Medicine Through a System Comprising Mobile Health Technology Integrated with Clinical Care.

The purpose of this study was to examine the effect of initiating use of a continuous glucose monitor (CGM) in patients being treated for type 2 diabetes mellitus, specifically those who face barriers to obtaining this device because of its cost.

This retrospective medical record review compared diabetes control of patients before and after use of a CGM device within a single primary care office. Patient medical records were reviewed 18 months after initial CGM was provided, and only those who received a CGM directly from the clinic were included in the review. Statistical analysis comparing the difference in mean baseline glycosylated hemoglobin (HbA1c) level with the first HbA1c level after CGM placement was completed using the paired t test for the primary outcome.

A total of 41 patients who obtained at least 1 CGM reader and a minimum of a 30-day supply of sensors from the clinic were included in the review. The primary outcome resulted in a significant reduction in the mean (SD) first HbA1c level after CGM placements of -1.9% (2.5%) (P < .001) with a total of 10 and 22 patients with an HbA1c level <7% and 8%, respectively. This mean (SD) reduction in HbA1c level was also seen in both insulin-treated patients (-1.8% [2.8%], n = 30) and non-insulin-treated patients (-2% [2.8%], n=11). The largest reduction in the first HbA1c level after CGM placement was seen in those patients provided a CGM along with collaborative care with a clinical pharmacist. These patients saw a mean (SD) decrease of -2.5% [2.7%] (n = 26) in their HbA1c level with a mean (SD) decrease of -0.8% (1.6%) (n = 15) for those not comanaged by the clinical pharmacist.

The results of this study suggest that the use of CGM in the underserved population can lead to a significant improvement in glycemic control in patients with diabetes, regardless of treatment therapies used. Involving a multidisciplinary team in diabetes management, including clinical pharmacists, may further improve outcomes. Access to these devices in the underserved population may be crucial in reducing the risk of developing complications related to uncontrolled diabetes.

People with prediabetes are at high risk of developing type 2 diabetes and its complications, such as cardiovascular diseases and premature mortality. Primary prevention and health maintenance are therefore imperative. Evidence has shown that prediabetes can be prevented or delayed with behavioural change, mainly in eating habits and physical activity. Interventions that use a person-centered approach can lead to improvements in self-management, quality of life, and health outcomes. Nevertheless, there is a need for further research that engages healthcare professionals and people with prediabetes in constructing and implementing preventive programs. The purpose of this study is to explore and describe how healthcare professionals perceive prediabetes, the current challenges in its detection and treatment, and what is needed to improve quality of care.

This qualitative study was conducted in Region Stockholm. A total of 26 primary health care professionals participated in individual interviews: 15 diabetes nurses and/or district nurses, five general practitioners, five dietitians, and one physiotherapist. Interview transcripts were analyzed with qualitative content analysis.

The analysis revealed two main themes that emphasize the need to make prediabetes more visible in primary health care. Despite the healthcare professionals' engagement and their motivation to improve prediabetes care, ad hoc practices and the absence of clear screening guidelines and referral pathways made it harder to focus on primary prevention. Supporting professionals in implementing structured care for people with prediabetes might encourage more efficient interprofessional collaboration and contribute to better strategies for promoting behavioural change.

Establishing prediabetes care guidelines, supporting health care professionals´ knowledge and skills in prediabetes care, and implementing interprofessional referral pathways are some steps to enhance prediabetes detection and care precedence in primary health care. These steps could lead to more preventive care and ensure patient safety and health care equity.

To assess maternal and neonatal outcomes in pregnant pregestational diabetic patients using a continuous subcutaneous insulin infusion (CSII) pump paired with a continuous glucose monitor (CGM).

This retrospective cohort study included 55 patients who delivered within one healthcare system from October 2019 to October 2022 with pregestational diabetes managed using CSII pumps paired with CGM. Maternal blood glucose (BG) data were analyzed for the two-week period preceding delivery. The percentage of time spent at a BG level of less than 140 mg/dL was recorded and compared between patients with and without obstetric and neonatal morbidities.

Patients who delivered with severe preeclampsia (S. PreE) had a significantly lower mean percentage of time spent at BG < 140 mg/dL than those who did not (S. PreE 15/55, 63.1% ± 19.0 vs. 40/55, 73.6% ± 13.8; p = 0.03). Mothers who had a preterm birth (PTB) had a significantly lower mean percentage of time spent at BG < 140 mg/dL than those who delivered at term (PTB 35/55, 66.4% ± 16.4 vs 20/55, 78.3% ± 11.9; p = 0.006). The mean percentage of time spent at a BG < 140 mg/dL among mothers of neonates with respiratory distress syndrome (RDS) was significantly lower than those without RDS (RDS present 13/55, 59.7% ± 20.4 vs 42/55, 74.1% ± 12.7; p = 0.003). There was a significant correlation between a greater neonatal birth weight percentile and worse time spent at BG < 140 mg/dL (r = - 0.31; p = 0.02). No other significant differences were observed between the groups.

Improved blood glucose levels in pregestational diabetic patients using a CSII pump and CGM is associated with reduced maternal and neonatal morbidity as well as lower birth weight percentile neonates. Future studies are needed to clarify how much time each day a patient needs to spend below a given blood sugar, how long this blood glucose should be maintained, and what specific blood glucose target should be selected.

Hypoglycemia remains a challenge for roughly 25% of people with type 1 diabetes (T1D) despite using advanced technologies such as continuous glucose monitors (CGMs) or automated insulin delivery systems. Factors impacting hypoglycemia self-management behaviors (including reduced ability to detect hypoglycemia symptoms and unhelpful hypoglycemia beliefs) can lead to hypoglycemia development in people with T1D who use advanced diabetes technology.

This study aims to develop a scalable, personalized mobile health (mHealth) behavioral intervention program to improve hypoglycemia self-management and ultimately reduce hypoglycemia in people with T1D who use advanced diabetes technology.

We (a multidisciplinary team, including clinical and health psychologists, diabetes care and education specialists, endocrinologists, mHealth interventionists and computer engineers, qualitative researchers, and patient partners) jointly developed an mHealth text messaging hypoglycemia behavioral intervention program based on user-centered design principles. The following five iterative steps were taken: (1) conceptualization of hypoglycemia self-management processes and relevant interventions; (2) identification of text message themes and message content development; (3) message revision; (4) patient partner assessments for message readability, language acceptability, and trustworthiness; and (5) message finalization and integration with a CGM data-connected mHealth SMS text message delivery platform. An mHealth web-based SMS text message delivery platform that communicates with a CGM glucose information-sharing platform was also developed.

The mHealth SMS text messaging hypoglycemia behavioral intervention program HypoPals, directed by patients' own CGM data, delivers personalized intervention messages to (1) improve hypoglycemia symptom detection and (2) elicit self-reflection, provide fact-based education, and suggest practical health behaviors to address unhelpful hypoglycemia beliefs and promote hypoglycemia self-management. The program is designed to message patients up to 4 times per day over a 10-week period.

A rigorous conceptual framework, a multidisciplinary team (including patient partners), and behavior change techniques were incorporated to create a scalable, personalized mHealth SMS text messaging behavioral intervention. This program was systematically developed to improve hypoglycemia self-management in advanced diabetes technology users with T1D. A clinical trial is needed to evaluate the program's efficacy for future clinical implementation.

Objective digital data is scarce yet needed in many domains to enable research that can transform the standard of healthcare. While data from consumer-grade wearables and smartphones is more accessible, there is critical need for similar data from clinical-grade devices used by patients with a diagnosed condition. The prevalence of wearable medical devices in the diabetes domain sets the stage for unique research and development within this field and beyond. However, the scarcity of open-source datasets presents a major barrier to progress. To facilitate broader research on diabetes-relevant problems and accelerate development of robust computational solutions, we provide the DiaTrend dataset. The DiaTrend dataset is composed of intensive longitudinal data from wearable medical devices, including a total of 27,561 days of continuous glucose monitor data and 8,220 days of insulin pump data from 54 patients with diabetes. This dataset is useful for developing novel analytic solutions that can reduce the disease burden for people living with diabetes and increase knowledge on chronic condition management in outpatient settings.

Insulin pump use is increasing among people with type 2 diabetes (T2D), albeit at a slower rate compared to people with type 1 diabetes (T1D). Factors associated with insulin pump initiation among people with T2D in the real-world are understudied.

This retrospective, nested case-control study aimed to identify predictors of insulin pump initiation among people with T2D in the United States (US). Adults with T2D who were new to bolus insulin use were identified from the IBM MarketScan Commercial database (2015-2020). Candidate variables of pump initiation were entered into conditional logistic regression (CLR) and penalized CLR models.

Of the 32,104 eligible adults with T2D, 726 insulin pump initiators were identified and matched to 2,904 non-pump initiators using incidence density sampling. Consistent predictors of insulin pump initiation across the base case, sensitivity, and post hoc analyses included continuous glucose monitor (CGM) use, visiting an endocrinologist, acute metabolic complications, higher count of HbA1c tests, lower age, and fewer diabetes-related medication classes.

Many of these predictors could represent a clinical indication for treatment intensification, greater patient engagement in diabetes management, or proactive management by healthcare providers. Improved understanding of predictors for pump initiation may lead to more targeted efforts to improve access and acceptance of insulin pumps among persons with T2D.

Insulin pump therapy improves glycaemic control in individuals with type 2 diabetes. However, it may be associated with weight gain.

To test the effectiveness of a six-month dietary and physical activity intervention, compared to usual care, on weight gain prevention after initiation of insulin pump.

Multicentre randomized, controlled trial of 54 individuals. Primary endpoint was between group difference in weight gain at six-months.

Weight gain after 6 months of insulin pump treatment did not differ between groups: mean 3.2 (3.9) kg in the control group and 3.9 (3.8) kg in the intervention group, (p=0.56). HbA1c improved without difference between groups. Post-hoc multivariate analysis of all participants found that weight gain was independently associated with younger age, active smoking, and the magnitude of HbA1c reduction. A 1% decrease in HbA1c was associated with an increase of 0.94kg [95% Confidence Interval 0.47; 1.41], p<0.001.

Treatment intensification by insulin pump therapy in patients with type 2 diabetes is effective to improve glycaemic control. A gain of about 1 kg per 1% drop in HbA1c can be expected after insulin treatment intensification. This weight gain was not prevented by a home-base, individualized, 6-months lifestyle intervention program.

We explored the association between continuous glucose monitoring (CGM) use and glycemia among adults with type 1 diabetes mellitus (T1DM) and determined the status of CGM metrics among adults with T1DM using CGM in the real-world.

For this propensity-matched cross-sectional study, individuals with T1DM who visited the outpatient clinic of the Endocrinology Department of Samsung Medical Center between March 2018 and February 2020 were screened. Among them, 111 CGM users (for ≥9 months) were matched based on propensity score considering age, sex, and diabetes duration in a 1:2 ratio with 203 CGM never-users. The association between CGM use and glycemic measures was explored. In a subpopulation of CGM users who had been using official applications (not "do-it-yourself" software) such that Ambulatory Glucose Profile data for ≥1 month were available (n=87), standardized CGM metrics were summarized.

Linear regression analyses identified CGM use as a determining factor for log-transformed glycosylated hemoglobin. The fully-adjusted odds ratio (OR) and 95% confidence interval (CI) for uncontrolled glycosylated hemoglobin (>8%) were 0.365 (95% CI, 0.190 to 0.703) in CGM users compared to never-users. The fully-adjusted OR for controlled glycosylated hemoglobin (<7%) was 1.861 (95% CI, 1.119 to 3.096) in CGM users compared to never-users. Among individuals who had been using official applications for CGM, time in range (TIR) values within recent 30- and 90-day periods were 62.45%±16.63% and 63.08%±15.32%, respectively.

CGM use was associated with glycemic control status among Korean adults with T1DM in the real-world, although CGM metrics including TIR might require further improvement among CGM users.

Diabetes mellitus is one of the most common chronic diseases in childhood. With more advanced care options including ever-evolving technology, allocation of resources becomes increasingly important to guarantee equal care for all. Therefore, we investigated healthcare resource utilization, hospital costs, and its determinants in Dutch children with diabetes.

We conducted a retrospective, observational analysis with hospital claims data of 5,474 children with diabetes mellitus treated in 64 hospitals across the Netherlands between 2019-2020.

Total hospital costs were €33,002,652 per year, and most of these costs were diabetes-associated (€28,151,381; 85.3%). Mean annual diabetes costs were €5,143 per child, and treatment-related costs determined 61.8%. Diabetes technology significantly increased yearly diabetes costs compared to no technology: insulin pumps € 4,759 (28.7% of children), Real-Time Continuous Glucose Monitoring € 7,259 (2.1% of children), and the combination of these treatment modalities € 9,579 (27.3% of children). Technology use increased treatment costs significantly (5.9 - 15.3 times), but lower all-cause hospitalisation rates were observed. In all age groups, diabetes technology use influenced healthcare consumption, yet in adolescence usage decreased and consumption patterns changed.

These findings suggest that contemporary hospital costs of children with diabetes of all ages are driven primarily by the treatment of diabetes, with technology use as an important additive factor. The expected rise in technology use in the near future underlines the importance of insight into resource use and cost-effectiveness studies to evaluate if improved outcomes balance out these short-term costs of modern technology.

Diabetes and its complications are seriously threatening the health and well-being of hundreds of millions of people. Glucose levels are essential indicators of the health conditions of diabetics. Over the past decade, concerted efforts in various fields have led to significant advances in glucose monitoring technology. In particular, the rapid development of continuous glucose monitoring (CGM) based on electrochemical sensing principles has great potential to overcome the limitations of self-monitoring blood glucose (SMBG) in continuously tracking glucose trends, evaluating diabetes treatment options, and improving the quality of life of diabetics. However, the applications of minimally invasive electrochemical CGM sensors are still limited owing to the following aspects: i) invasiveness, ii) short lifespan, iii) biocompatibility, and iv) calibration and prediction. In recent years, the performance of minimally invasive electrochemical CGM systems (CGMSs) has been significantly improved owing to breakthrough developments in new materials and key technologies. In this review, we summarize the history of commercial CGMSs, the development of sensing principles, and the research progress of minimally invasive electrochemical CGM sensors in reducing the invasiveness of implanted probes, maintaining enzyme activity, and improving the biocompatibility of the sensor interface. In addition, this review also introduces calibration algorithms and prediction algorithms applied to CGMSs and describes the application of machine learning algorithms for glucose prediction.

According to the Scientific Registry of Transplant Recipients, both transplant volume and survival among lung transplant recipients are improving over time. However, the outcomes of lung transplantation remain challenged by multiple thoracic and extrathoracic complications. With improving lung transplant survival, patients experience prolonged exposure to chronic immunosuppressive agents that can lead to multiple infectious and noninfectious complications. This article focuses on most common noninfectious complications with significant clinical impact.

Continuous glucose monitoring (CGM) users are encouraged to consider trend arrows before injecting a meal bolus. We evaluated the efficacy and safety of two different algorithms for trend-informed bolus adjustments, the Diabetes Research in Children Network/Juvenile Diabetes Research Foundation (DirectNet/JDRF) and the Ziegler algorithm, in type 1 diabetes.

We conducted a cross-over study of type 1 diabetes patients using Dexcom G6. Participants were randomly assigned to either the DirectNet/JDRF or the Ziegler algorithm for two weeks. After a 7-day wash-out period with no trend-informed bolus adjustments, they crossed to the alternative algorithm.

Twenty patients, with an average age of 36 ± 10 years, completed this study. Compared to the baseline and the DirectNet/JDRF algorithm, the Ziegler algorithm was associated with a significantly higher time in range (TIR) and lower time above range and mean glucose. A separate analysis of patients on CSII and MDI revealed that the Ziegler algorithm provides better glucose control and variability than DirectNet/JDRF in CSII-treated patients. The two algorithms were equally effective in increasing TIR in MDI-treated patients. No severe hypoglycemic or hyperglycemic episode occurred during the study.

The Ziegler algorithm is safe and may provide better glucose control and variability than the DirectNet/JDRF over a two-week period, especially in patients treated with CSII.

The Treatment and Complications subcommittee of the National Clinical Care Commission focused on factors likely to improve the delivery of high-quality care to all people with diabetes. The gap between available resources and the needs of people living with diabetes adversely impacts both treatment and outcomes. The Commission's recommendations are designed to bridge this gap. At the patient level, the Commission recommends reducing barriers and streamlining administrative processes to improve access to diabetes self-management training, diabetes devices, virtual care, and insulin. At the practice level, we recommend enhancing programs that support team-based care and developing capacity to support technology-enabled mentoring interventions. At the health system level, we recommend that the Department of Health and Human Services routinely assess the needs of the health care workforce and ensure funding of training programs directed to meet those needs. At the health policy level, we recommend establishing a process to identify and ensure pre-deductible insurance coverage for high-value diabetes treatments and services and developing a quality measure that reduces risk of hypoglycemia and enhances patient safety. We also identified several areas that need additional research, such as studying the barriers to uptake of diabetes self-management education and support, exploring methods to implement team-based care, and evaluating the importance of digital connectivity as a social determinant of health. The Commission strongly encourages Congress, the Department of Health and Human Services, and other federal departments and agencies to take swift action to implement these recommendations to improve health outcomes and quality of life among people living with diabetes.

Latinx adults with both cognitive dysfunction and type 2 diabetes mellitus (T2DM) are significantly more likely than Latinx adults with diabetes alone to have complications such as cardiovascular disease. Glucose variability may be a risk for dementia, but the course of glucose variability in the time before a dementia diagnosis for Latinx adults with T2DM has not been examined. We used a 10-year retrospective cohort of medical records of Latinx patients with T2DM who had at least one use of a continuous glucose monitor. The objective was to examine how glucose variability was associated with future dementia diagnoses. A total of 116 charts were included. Mean of daily differences and mean amplitude of glycemic excursions were more strongly associated with dementia diagnoses than other variability indices (p < .01). Understanding the relationships between cognitive function, glucose variability, and barriers to health care can translate into improved interventions to enhance diabetes care.

Self-monitoring of blood glucose (SMBG) is a useful tool in diabetes management, but its efficacy and optimal application in type 2 diabetes (T2D) patients treated without insulin have been controversial. We aimed to evaluate the efficacy of SMBG in controlling blood glucose levels in non-insulin-treated T2D patients and to determine the optimal frequency and the most appropriate population to benefit from SMBG.

Eligible publications from January 2000 to April 2022 were retrieved from PubMed, Embase, Cochrane Library, and ClinicalTrials.gov databases. Randomized controlled trials comparing SMBG with no SMBG or structured SMBG (S-SMBG, SMBG with defined timing and frequency of glucose measurements) were included. Meta-analyses and sub-analyses were performed to assess the efficacy, optimal frequency, and most appropriate population for SMBG. Risk of bias was assessed regarding randomization, allocation sequence concealment, blinding, incomplete outcome data, selective outcome reporting, and other biases.

Twenty-two studies involving 6204 participants were identified, including 17 comparing SMBG with no SMBG and 4 comparing SMBG with S-SMBG. SMBG reduced HbA1c (MD -0.30%, 95% CI -0.42 to -0.17) compared with no SMBG, and S-SMBG performed better than SMBG (MD -0.23%, 95% CI -0.38 to -0.07). Subgroup analyses showed that HbA1c control was better with SMBG at 8-11 times weekly (MD -0.35%, 95% CI -0.51 to -0.20) compared with other frequencies and with lifestyle adjustments (MD -0.37%, 95% CI -0.50 to -0.23) than with no adjustments. No significant differences in HbA1c were observed between baseline HbA1c subgroups (≤ 8% and > 8%, P = 0.63) and between diabetes duration subgroups (≤ 6 years and > 6 years, P = 0.72), respectively.

SMBG was effective for controlling HbA1c in non-insulin-treated T2D patients, although lacking detailed monitoring design. Better outcomes were seen with SMBG at 8-11 times weekly and lifestyle adjustment based on SMBG results.

PROSPERO (CRD42021285604).

The aim of this study was to evaluate the effectiveness of a digital health intervention plus community health worker (CHW) support on self-monitoring of blood glucose and glycosylated hemoglobin (HbA1c) among adult Medicaid beneficiaries with diabetes.

Randomized controlled trial.

Urban outpatient clinic.

Adult Medicaid beneficiaries living with diabetes and treated with insulin and who had a HbA1c ≥ 9%.

Participants were randomly assigned to one of three arms. Participants in the usual-care arm received a wireless glucometer if needed. Those in the digital arm received a lottery incentive for daily glucose monitoring. Those in the hybrid arm received the lottery plus support from a CHW if they had low adherence or high blood glucose levels.

The primary outcome was the difference in adherence to daily glucose self-monitoring at 3 months between the hybrid and usual-care arms. The secondary outcome was difference in HbA1c from baseline at 6 months.

A total of 150 participants were enrolled in the study. A total of 102 participants (68%) completed the study. At 3 months, glucose self-monitoring rates in the hybrid versus usual-care arms were 0.72 vs 0.65, p = 0.23. At 6 months, change in HbA1c in the hybrid versus usual-care arms was - 0.74% vs - 0.49%, p = 0.69.

There were no statistically significant differences between the hybrid and usual care in glucose self-monitoring adherence or improvements in HbA1C.

This trial is registered with clinicaltrials.gov identifier: NCT03939793.

Treatment of patients with diabetes and CKD includes optimizing glycemic control using lifestyle modifications and drugs that safely control glycemia and improve clinical kidney and cardiovascular disease outcomes. However, patients with advanced CKD, defined as eGFR <30 ml/min per 1.73 m2 or kidney disease treated with dialysis, have limitations to the use of some preferred glucose-lowering medications, are often treated with insulin, and experience high rates of severe hypoglycemia. Moreover, hemoglobin A1c accuracy decreases as GFR deteriorates. Hence, there is a need for better glycemic monitoring tools. Continuous glucose monitoring allows for 24-hour glycemic monitoring to understand patterns and the effects of lifestyle and medications. Real-time continuous glucose monitoring can be used to guide the administration of insulin and noninsulin therapies. Continuous glucose monitoring can overcome the limitations of self-monitored capillary glucose testing and hemoglobin A1c and has been shown to prevent hypoglycemic excursions in some populations. More data are needed to understand whether similar benefits can be obtained for patients with diabetes and advanced CKD. This review provides an updated approach to management of glycemia in advanced CKD, focusing on the role of continuous glucose monitoring in this high-risk population.

This Guideline represents the recommendations of the Austrian Diabetes Association (ÖDG) on the use of diabetes technology (insulin pump therapy; continuous glucose monitoring, CGM; hybrid closed-loop systems, HCL; diabetes apps) and access to these technological innovations for people with diabetes mellitus based on current scientific evidence.

The American Academy of Family Physicians (AAFP) develops and maintains continuing medical education that is relevant to modern primary care practices. One continuing medical education modality is AAFP TIPS, which are comprised of resources designed for family medicine physicians and their care teams that aid in quick and accessible practice improvement strategies, with actionable steps. Evaluating physicians' use of and satisfaction with this modality's content and implementation strategies has not been prioritized previously. Continuous glucose monitoring (CGM) plays an increasing role in the treatment of diabetes; uptake occurs more rapidly in endocrinology settings than in primary care settings. To help address such differences in CGM uptake and diabetes care, AAFP TIPS on Continuous Glucose Monitoring (AAFP TIPS CGM) was developed, using published evidence and input from content experts (family medicine faculty; AAFP staff; and an advisory group comprised of other primary care physicians, patients, a pharmacist, and a primary care practice facilitator). A pilot implementation project was conducted in 3 primary care practices.

To evaluate AAFP TIPS CGM in primary care practices, the research team assessed use of and satisfaction with the content and assessed barriers to and facilitators for strategy and workflow implementation.

In total, 3 primary care practices participated in a mixed methods pilot implementation of AAFP TIPS CGM between June and October 2021. Practice champions at each site completed AAFP TIPS CGM and baseline practice surveys to evaluate practice characteristics and CGM prescribing. They conducted team trainings (via webinars or in person), with the goals of implementing CGM into practice and establishing or improving CGM workflows. Practice champions and team training participants completed posttraining surveys to evaluate the training, AAFP TIPS materials, and likelihood of implementing CGM. Interviews were conducted with 6 physicians, including practice champions, 2 months after team training. Satisfaction surveys were also distributed to those who completed the AAFP TIPS CGM course via the internet during the study period.

Of the 3 practices, 2 conducted team trainings. The team training evaluation survey showed that practice staff understood their role in implementing CGM in practice (19/20, 95%), and most (11/20, 55%) did not have questions after the training. Insurance coverage for CGM was a remaining knowledge gap and potential barrier to implementing CGM in practice. Physicians and interdisciplinary care team members who took the AAFP TIPS CGM course via the internet, as well as those who attended in-person team training, expressed a high degree of satisfaction with the education, content, and applicability of the course.

This pilot implementation of AAFP TIPS CGM offers pertinent and timely information for primary care practices that desire to initiate or expand CGM use to best meet the needs of their patients with diabetes.

Self-care behaviors help reduce hemoglobin A1c (HbA1c) and prevent or delay type 2 diabetes (T2D) complications. Individualized interventions that support goal setting and self-monitoring improve self-care and HbA1c in the short-term; engaging family and friends may enhance and/or sustain effects. Family/Friend Activation to Motivate Self-care (FAMS) is a mobile phone-delivered intervention (i.e., phone coaching and text message support) based on Family Systems Theory which was successfully piloted among diverse adults with T2D.

We made improvements to FAMS and conducted iterative usability testing to finalize FAMS 2.0 before evaluation in a randomized controlled trial (RCT). Adult persons with diabetes (PWDs) who enrolled were asked to invite a support person (friend or family member) to participate alongside them. For the RCT, dyads were randomly assigned to FAMS 2.0 or enhanced treatment as usual (control) for the first 9 months of the 15-month trial. Outcomes include PWDs' HbA1c and psychosocial well-being (including diabetes distress) and support persons' own diabetes distress and support burden.

We recruited RCT participants from April 2020 through October 2021 (N = 338 PWDs with T2D; 89% [n = 300] with a support person). PWDs were 52% male, 62% non-Hispanic White, aged 56.9 ± 11.0 years with HbA1c 8.7% ± 1.7% at enrollment; 73% cohabitated with their enrolled support person. Data collection is ongoing through January 2023.

Findings will inform the utility of engaging family/friends in self-care behaviors for both PWD and support person outcomes. Using widely available mobile phone technology, FAMS 2.0, if successful, has potential for scalability.

ClinicalTrials.gov identifier: NCT04347291 posted April 15, 2020.