bims-glumda Biomed News
on CGM data in management of diabetes
Issue of 2025–06–15
twenty papers selected by
Mott Given



  1. Front Endocrinol (Lausanne). 2025 ;16 1571362
      Prediabetes represents an early stage of glucose metabolism disorder with significant public health implications. Although traditional lifestyle interventions have demonstrated some efficacy in preventing the progression to type 2 diabetes, their limitations-such as lack of personalization, restricted real-time monitoring, and delayed intervention-are increasingly apparent. This article systematically explores the potential applications of continuous glucose monitoring (CGM) technology combined with artificial intelligence (AI) in the management of prediabetes. CGM provides real-time and dynamic glucose monitoring, addressing the shortcomings of conventional methods, while AI enhances the clinical utility of CGM data through deep learning and advanced data analysis. This review examines the advantages of integrating CGM and AI from three perspectives: precise diagnosis, personalized intervention, and decision support. Additionally, it highlights the unique roles of this integration in remote monitoring, shared decision-making, and patient empowerment. The article further discusses challenges related to data management, algorithm optimization, ethical considerations, and future directions for this technological integration. It proposes fostering multidisciplinary collaboration to promote the application of these innovations in diabetes management, aiming to deliver a more precise and efficient health management model for individuals with prediabetes.
    Keywords:  artificial intelligence; continuous glucose monitoring; fasting blood glucose; prediabetes; type 2 diabetes mellitus
    DOI:  https://doi.org/10.3389/fendo.2025.1571362
  2. Diabetes Care. 2025 Jun 12. pii: dc250595. [Epub ahead of print]
       OBJECTIVE: To evaluate the concordance of glycated albumin, fructosamine, 1,5-anhydroglucitol (1,5-AG), and hemoglobin A1c (HbA1c) with continuous glucose monitor (CGM) metrics of hyperglycemia and glycemic control in a diverse population of adults with type 2 diabetes.
    RESEARCH DESIGN AND METHODS: This was a pooled cross-sectional analysis of 552 adults, ages 30 to 97 years old, with diabetes. Participants wore a CGM for up to 2 weeks, and we evaluated the agreement between blood biomarkers (glycated albumin, fructosamine, and 1,5-AG) with CGM-defined metrics of hyperglycemia and glycemic control.
    RESULTS: Of the 552 participants (mean age 74 years, 53% women, 36% Black), the median of mean CGM glucose was 132 mg/dL, and participants spent on average 84% of their time in range (70-180 mg/dL). CGM mean glucose was strongly related to HbA1c (r = 0.72), glycated albumin (r = 0.64), and fructosamine (r = 0.64) but weakly related to 1,5-AG (r = 0.46). Results were similar for time above range (>180 mg/dL). Glycated albumin and fructosamine performed similarly to HbA1c in the detection of target time in and above range (c-statistics ranged from 0.85 to 0.94).
    CONCLUSIONS: Glycated albumin and fructosamine had similar associations with CGM-defined metrics of hyperglycemia compared with HbA1c. These three biomarkers performed similarly in the detection of time above range and in range. Our results provide evidence for the utility of glycated albumin and fructosamine as alternate measures of hyperglycemia.
    DOI:  https://doi.org/10.2337/dc25-0595
  3. Pediatr Diabetes. 2025 ;2025 8875203
      Background: Socioeconomic status (SES) and ethnic inequalities in type 1 diabetes (T1D) outcomes are well-established. There is concern that unequal access to technologies, including continuous glucose monitoring (CGM), may increase disparities. This systematic review summarises the evidence for inequalities in the prevalence of CGM use for children and young people (CYP) and outcomes for CGM users. Methods: Medline, Embase and Web of Science were searched for observational studies published between January 2020 and July 2023 which report CGM use stratified by any PROGRESS-Plus criteria for T1D patients under 26. Reports based in low- or middle-income countries, ≤500 participants or only reporting hybrid closed-loop systems were excluded. Primary outcomes were the proportion of patients using CGM and HbA1c of CGM users. Quality assessment was performed using the Newcastle-Ottawa Scale. Unadjusted odds ratios were calculated from the extracted summary data, though heterogeneity precluded meta-analysis. The protocol was preregistered with PROSPERO (CRD42023438139). Results: Of the 3369 unique studies identified, 27 met the inclusion criteria. Thirty-three percent were of 'good' or 'very good' quality. We found decreased CGM use and higher discontinuation for low SES, low education, publicly insured and minority ethnic, especially Black, CYP. These associations were generally robust to adjustment for other sociodemographic variables, suggesting an independent effect. Lower SES inequalities were seen in countries where CGM is reimbursed. Although low SES and minority ethnicity were associated with poorer outcomes in general, for CGM users there was no significant association between domains of disadvantage and higher HbA1c, excepting parental education. Conclusions: There are significant SES, ethnic and education inequalities in CGM use for CYP with T1D, particularly when reimbursement is limited. This inequity is contributing to inequalities in T1D outcomes. However, evidence suggests CYP benefit equally from CGM use, irrespective of ethnicity and SES. Increasing CGM funding and use is likely to reduce outcome inequalities.
    DOI:  https://doi.org/10.1155/pedi/8875203
  4. Diabetes Metab Res Rev. 2025 Jul;41(5): e70059
      Type 2 diabetes (T2D) is a pandemic and strongly impact patients' prognosis. Several barriers may hamper the achievement of good glycaemic control, which is the aim of diabetes care. These include but are not limited to poor treatment adherence, poor self-management, and heterogeneity of the disease context. Diabetes self-management is critical, particularly in insulin-treated patients and it is largely based on glucose monitoring, which allows recording glucose levels to make informed decisions with respect to meals, exercise, and other daily-life activities. For decades, glucose monitoring has been based on self-measurement of capillary blood glucose, which has some obvious important limitations. With the start of the new century, systems for continuous glucose monitoring (CGM) have become available. These systems measure subcutaneous interstitial glucose levels in a continuous or intermittent manner. They allow a better description of daily glucose pattern and glycaemic trend, a more accurate identification of glucose peaks and identification of otherwise unrecognised hypoglycaemic episodes, and a more reliable assessment of the stability of glycaemic control. CGM has been repeatedly shown to improve glycaemic control and reduce the risk of hypoglycaemia in type 1 diabetes (T1D). Over the years however, evidence has been gathered on the CGM use in T2D on different treatment regimens and wider applications are clearly desired. The aim of this expert opinion paper is to summarise the currently available evidence on CGM use across the whole spectrum of T2D and suggest practical indications beyond current guidelines.
    Keywords:  basal insulin; clinical scenario; continuous glucose monitoring; cost‐effectiveness; drug therapy; multiple daily insulin injections; type 2 diabetes
    DOI:  https://doi.org/10.1002/dmrr.70059
  5. BMC Prim Care. 2025 Jun 09. 26(1): 195
       BACKGROUND: Most diabetes care occurs in primary care. Continuous glucose monitoring (CGM) is associated with clinical, behavioral, and psychosocial benefits. While CGM uptake in primary care is increasing, understanding models to support CGM use in diverse primary care practices is needed. The PREPARE 4 CGM study evaluated strategies to implement CGM in primary care. We compared characteristics among practices choosing a practice-led, self-paced CGM implementation strategy or referral to a virtual CGM implementation service that provided patients and their referring primary care practices CGM initiation and data interpretation support for at least six months.
    METHODS: Colorado PC practices interested in implementing CGM enrolled and chose to use the American Academy of Family Physicians Transformation in Practice Series (TIPS): CGM implementation modules or refer patients to a virtual CGM initiation and education service designed and staffed by a primary care multi-disciplinary team. In this multiple methods study, baseline practice characteristics were compared across study arms using chi-square and t-tests. Semi-structured interviews with practice members provided additional context to explain study arm selection.
    RESULTS: Of 76 practices enrolled, 46 chose self-paced implementation using TIPS modules, 16 of which (35%) had a diabetes care and education specialist (DCES) in the practice; of the 30 that chose the virtual CGM initiation service, none (0%) had a DCES, X2(1, N = 62) = 11.046, p <.001. Aside from having a DCES, no differences in 37 other practice characteristics were seen between groups.
    CONCLUSIONS: Primary care practices were eager to implement CGM. All practices with a DCES chose to implement CGM on their own; of the practices without a DCES, implementation method selection was evenly split (half chose to implement on their own, half chose virCIS). DCESs may have potential as diabetes technology champions in primary care practices. Referral to the virtual CGM implementation service allowed access to a certified DCES and multidisciplinary team for practices without them. As many practices without a DCES also chose to implement CGM on their own, multiple models may be necessary to foster CGM implementation in primary care.
    TRIAL REGISTRATION: This project was reviewed and approved by the Colorado Multiple Institutional Review Board (COMIRB; Protocol 21-4269) and registered with ClinicalTrials.gov on March 23, 2022 (NCT05336214).
    Keywords:  Continuous glucose monitoring; Diabetes education and care specialist; Diabetes mellitus, type 1; Diabetes mellitus, type 2; Diabetes technology; Primary health care; Wearable electronic devices
    DOI:  https://doi.org/10.1186/s12875-025-02903-0
  6. Endocrinol Diabetes Metab. 2025 Jul;8(4): e70067
       INTRODUCTION: Once-weekly basal insulin Fc (BIF) offers a promising alternative to daily basal insulin by reducing injection burden while maintaining glycaemic control. However, comprehensive comparisons with insulin degludec regarding continuous glucose monitoring (CGM) metrics and hypoglycaemia outcomes remain limited. This meta-analysis evaluates these critical parameters.
    METHODS: We conducted a systematic review and meta-analysis of randomised controlled trials (RCTs) comparing once-weekly BIF with once-daily insulin degludec in type 1 and type 2 diabetes. Outcomes included CGM-derived glycaemic variability, time in range, time above/below range and hypoglycaemia event rates. Data were pooled using random-effects models, with heterogeneity assessed via I2 statistics.
    RESULTS: Five RCTs (n = 2427) were included. BIF demonstrated comparable glycaemic variability (within-day CV: MD = 0.06, p = 0.90; between-day CV: MD = -0.26, p = 0.30) and Time in range (MD = 0.56, p = 0.27) versus degludec. However, BIF increased time spent in the mild hypoglycaemia range (54-69 mg/dL) (MD = 0.30, p = 0.0004) and clinically significant hypoglycaemia event rates (rate ratio = 1.20, p < 0.00001). Severe hypoglycaemia event rates were higher with BIF (rate ratio = 3.34, p < 0.0001). Nocturnal hypoglycaemia and time above range (> 250 mg/dL) did not differ significantly.
    CONCLUSION: Once-weekly BIF provides similar overall glycaemic control to insulin degludec but with increased time in mild hypoglycaemia and higher event rates of clinically significant and severe hypoglycaemia. These findings highlight the need for individualised dosing and monitoring when transitioning to weekly insulin regimens.
    Keywords:  basal insulin Fc; continuous glucose monitoring; hypoglycaemia; insulin degludec
    DOI:  https://doi.org/10.1002/edm2.70067
  7. Diabetes Obes Metab. 2025 Jun 09.
       AIMS: Among the novel metrics derived from continuous glucose monitoring (CGM), time in tight range (TITR) has gained increasing attention. Our study aimed to investigate the relationship between 1,5-anhydroglucitol (1,5-AG) and TITR in patients with type 2 diabetes.
    MATERIALS AND METHODS: This cross-sectional study included 1531 moderately controlled patients with type 2 diabetes on a stable treatment regimen. TITR and time in range (TIR) were measured with CGM. Spearman correlation analysis was used to assess the relationship between serum 1,5-AG and TITR, and the predictive efficacy of serum 1,5-AG for identifying TITR > 50% was evaluated by the receiver operating characteristic curves.
    RESULTS: The median levels of serum 1,5-AG and glycated haemoglobin A1c (HbA1c) in the total population were 7.4 (4.4, 12.1) μg/mL and 7.0% (6.4%, 7.5%), respectively. The median TITR was 52.0% (32.0%, 69.0%). Spearman correlation analysis showed that serum 1,5-AG was positively correlated with TITR (p < 0.001). The optimal serum 1,5-AG cut-off for TITR >50% was 8.0 μg/mL, with an area under the curve (AUC) of 0.693 (0.667, 0.719). Serum 1,5-AG combined with fasting glucose or 2-hour postprandial glucose further improved the predictive power for identifying TITR > 50% (both p < 0.001). Across all subgroups, serum 1,5-AG showed acceptable predictive accuracy for TITR > 50% (AUCs around 0.700).
    CONCLUSIONS: Serum 1,5-AG was significantly correlated with TITR in patients with type 2 diabetes, with 8.0 μg/mL emerging as a potential cut-off for identifying TITR > 50%.
    Keywords:  1,5‐anhydroglucitol; continuous glucose monitoring; time in tight range; type 2 diabetes
    DOI:  https://doi.org/10.1111/dom.16515
  8. Front Endocrinol (Lausanne). 2025 ;16 1579640
       Background: AI-assisted blood glucose management has become a promising method to enhance diabetes care, leveraging technologies like continuous glucose monitoring (CGM) and predictive models. A comprehensive bibliometric analysis is needed to understand the evolving trends in this research area.
    Methods: A bibliometric analysis was performed on 482 articles from the Web of Science Core Collection, focusing on AI in blood glucose management. Data were analyzed using CiteSpace and VOSviewer to explore research trends, influential authors, and global collaborations.
    Results: The study revealed a substantial increase in publications, particularly after 2016. Major research clusters included CGM, machine learning algorithms, and predictive modeling. The United States, Italy, and the UK were prominent contributors, with key journals such as Diabetes Technology & Therapeutics leading the field.
    Conclusion: AI technologies are significantly advancing blood glucose management, especially through machine learning and predictive models. Future research should focus on clinical integration and improving accessibility to enhance patient outcomes.
    Keywords:  AI; blood glucose management; continuous glucose monitoring; diabetes; machine learning
    DOI:  https://doi.org/10.3389/fendo.2025.1579640
  9. Horm Metab Res. 2025 Jun 12.
      This study aimed to compare continuous glucose monitoring (CGM) parameters in children and adolescents with Type 1 diabetes (T1D) who transitioned from glargine U100 to glargine U300 to evaluate efficacy and safety. A total of 52 participants aged 6-18 years using CGM were analyzed before and after transitioning from glargine U100 to glargine U300. For each individual, a 2-week CGM data collection was conducted after optimizing the glargine U100 dose. Participants then switched to glargine U300 at the same dose, with doses adjusted based on CGM graphs every three days. One week after the final dose adjustment, a second 2-week CGM period was recorded. Additionally, nighttime (00:00-08:00) data were analyzed, with glucose fluctuations measured by coefficient of variation (CV) and root mean squared error (RMSE). All parameters were compared between glargine U100 and U300. No significant differences were observed in glucose management indicator (GMI) or time in range (TIR) between glargine U100 and U300. However, glargine U300 was associated with significantly reduced hypoglycemia frequency and duration across 24-hour and nocturnal periods. Lower CV and RMSE values during nighttime further indicated reduced glycemic variability with glargine U300. An average 10% increase in basal insulin dose was required following the transition. The study provides real-world, CGM-based evidence suggesting that glargine U300 offers a safer, more stable option for managing T1D in children, particularly in reducing hypoglycemia. These findings highlight glargine U300's potential advantages in glycemic stability, supporting its use in pediatric diabetes care.
    DOI:  https://doi.org/10.1055/a-2634-8614
  10. Endocr Pract. 2025 Jun 04. pii: S1530-891X(25)00901-2. [Epub ahead of print]
      Glucose homeostasis is a constant process involving several physiological mechanisms. Estimation of glucose via continuous glucose monitor (CGM) sensors provides a 24-hour comprehensive evaluation of glycemic excursions, enabling a closer understanding of the underlying defective mechanisms beyond current biomarkers of glycemia, focusing on the impact of glucose exposure, and not on the constant changes. CGM use in type 2 diabetes has shown to have a beneficial effect in improving HbA1c and time spent in range of 70-180 mg/dL. Some studies have also shown a legacy effect of CGM use after its discontinuation. Use of CGM in various other conditions such as end stage kidney disease, obstructive sleep apnea, gastroparesis, postbariatric hypoglycemia, and insulinoma has been shown to fill the diagnostic and therapeutic void. The advent of new glycemic metrics with the coming of CGM also improves our pathophysiological understanding of such diseases in the context of more readily available glycemic data. As future studies continue to emerge demonstrating the benefits of CGM in conditions other than diabetes; a frameshift focus on the value of constant glucose assessment and not on point-in-time metrics is necessary. Understanding and changing our approach to glycemic excursion will be pivotal for use of CGM beyond traditional indications and improve patient outcomes and quality of life metrics.
    Keywords:  Continuous glucose monitoring; end stage kidney disease; gastroparesis; obstructive sleep apnea; type 2 diabetes
    DOI:  https://doi.org/10.1016/j.eprac.2025.05.749
  11. Diabetes Res Clin Pract. 2025 Jun 09. pii: S0168-8227(25)00339-0. [Epub ahead of print] 112325
       AIMS: We aimed to establish an independent association between time in tight range (TITR) and the risk of albuminuria, and to compare the relationships of TITR, time in range (TIR), and glycated hemoglobin (HbA1c) with albuminuria in individuals with type 1 diabetes (T1D).
    METHODS: This cross-sectional study analyzed 14-day raw continuous glucose monitoring (CGM) data from 615 individuals with T1D. Albuminuria was defined as a spot urine albumin-to-creatinine ratio ≥30 mg/g. Multivariable logistic regression models were used to estimate the odds ratios (OR) for albuminuria per 10 % increase in TITR and TIR.
    RESULTS: The adjusted OR for albuminuria per 10 % increase in TITR was 0.98 (95 % confidence interval [CI], 0.96-0.99; p = 0.002). A comparable association was observed with TIR (adjusted OR, 0.97; 95 % CI, 0.96-0.99; p < 0.001). Restricted cubic spline analysis showed that albuminuria risk decreased with increasing TITR and TIR, plateaued near HbA1c 7 %, but further decreased at very high TITR and TIR levels, unlike HbA1c, which had a single threshold.
    CONCLUSION: TITR is independently associated with the risk of albuminuria in T1D, exhibiting a similar pattern to TIR but a different pattern from HbA1c. Very high TITR and TIR may provide information predicting albuminuria risk beyond HbA1c levels.
    Keywords:  Albuminuria; Continuous glucose monitoring; Time in range; Time in tight range; Type 1 diabetes
    DOI:  https://doi.org/10.1016/j.diabres.2025.112325
  12. Acta Diabetol. 2025 Jun 07.
       INTRODUCTION: To reduce mortality, thigh glycemic control is recommended in critically ill patients due to their extreme glycemic variability. Continuous glucose monitoring (CGM) devices allows frequent determination of blood glucose levels; however, conflicting results have been reported from studies assessing their accuracy in critically ill patients. Aim of this study was to assess the repeatability and the analytical and clinical accuracy of FreeStyle Libre 2 (FSL-)CGM.
    MATERIALS AND METHODS: Prospective single-center observational study enrolling 40 critically ill patients. For four consecutive days, we measured three consecutive interstitial FSL-CGM-derived glucose levels, along with one arterial and venous blood gas analysis and a capillary-derived blood glucose level, obtaining a total of 480 FSL-CGM-derived glucose measurements and 160 measurements from arterial and venous blood gas analysis and from capillary glucose.
    RESULTS: The mean blood glucose levels in the three daily timepoints from FSL-CGM were 130 ± 35, 131 ± 35 and 131 ± 35 mg/dL (p = 0.660). The Bland-Altman analysis comparing arterial BGA- and FSL-CGM-derived blood glucose levels had a bias of 10.3 mg/dL with limits of agreement from - 27.2 to 47.7. The mean absolute relative difference (MARD) between FSL-CGM and arterial blood gas analysis was 12 ± 10%. The Clarke, Parkes and Surveillance error grid analyses comparing arterial BGA- and FSL-CGM-derived blood glucose levels showed a good clinical accuracy. The presence of diabetes did not influence analytical accuracy, while the use of vasopressors was associated with a higher MARD.
    CONCLUSIONS: FSL-CGM demonstrated reproducibility and reliable analytical and clinical accuracy in critically ill patients, without difference between diabetic and non-diabetic patients, over a period of up to 96 h (4 days).
    Keywords:  Arterial glycemia; Capillary glycemia; Continuous glucose monitoring; Diabetes; Intensive care unit; Venous glycemia
    DOI:  https://doi.org/10.1007/s00592-025-02531-1
  13. Clin Ther. 2025 Jun 09. pii: S0149-2918(25)00166-3. [Epub ahead of print]
       PURPOSE: Health and financial burdens associated with poorly managed diabetes are considerable both for individuals and for healthcare systems. The last decade has seen a significant increase in the use of automated insulin delivery systems, continuous glucose monitoring and insulin pumps. With this, digital healthcare tools - such as smart or connected insulin pens and wearable continuous glucose monitoring (CGM) sensors utilizing current digital smartphone and wireless technology have emerged, helping people with diabetes and their healthcare providers maximize treatment adherence and achieve optimal glycemic control. This article reviews the available literature to assess current unmet needs within diabetes care management, summarizes the efficacy and safety of the latest US Food and Drug Administration (FDA)-approved insulin delivery systems and digital diabetes healthcare tools, and investigate the economic and healthcare benefits of such FDA-approved digital healthcare tools for people with diabetes in the US.
    METHODS: Literature searches were conducted using PubMed for articles published between 2014 and 2023. Type of articles included were narrative reviews, systematic reviews, randomized controlled trials and cost-effectiveness analyses.
    FINDINGS: There are many insulin delivery systems and associated digital devices, CGMs and software applications that utilize wireless and smartphone technology available within the US that have published efficacy, safety and cost-benefit outcomes. The safety and efficacy of CGM and continuous subcutaneous insulin infusion (CSII) therapy are well established. In contrast, the evidence available for the most recent digital diabetes healthcare tools (e.g., smart or connected insulin pens) is relatively limited.
    IMPLICATIONS: Despite the acknowledged cost-effectiveness of digital healthcare tools within diabetes care and potential associated cost savings for healthcare markets, there are limited numbers of clinical studies investigating the efficacy and safety of newer devices such as smart or connected insulin pens. Further research is needed to pave the way for integrating these devices more fully into diabetes management.
    Keywords:  Continuous glucose monitoring; Diabetes; Digital health; Insulin
    DOI:  https://doi.org/10.1016/j.clinthera.2025.05.002
  14. Br J Nurs. 2025 Jun 19. 34(Sup12a): S1-S6
      This guide to best practice in glucose monitoring covers how people with diabetes can select between blood-based and continuous monitoring methods, as well as when to use them in combination.
    DOI:  https://doi.org/10.12968/bjon.2025.34.Sup12a.S1
  15. Diabetes Metab Res Rev. 2025 Jul;41(5): e70057
      Ramadan fasting is a sacred ritual observed by approximately 1.8 billion Muslims each year, most of whom adhere to fasting due to its significance as a core pillar of Islam. Able-bodied Muslims who are capable of fasting are religiously required to do so. Ramadan is profoundly spiritual and of great importance in the Muslim community that occurs for roughly 30 days, in alignment with the lunar calendar. During Ramadan, Muslims abstain from food and drink for 11-16 h a day on average; however, this could be significantly shorter or longer depending on the season and the geographic location, ultimately breaking their fast during the sunset meal 'Iftaar'. Before the great strides were taken in the management of diabetes, these patients were initially considered not able to observe this holy month, creating significant frustration and disconnect with their families and loved ones. As patient outcomes improved through the emergence of better pharmacotherapy and increasing use of technology, these restrictions have been reconsidered. This prompted us to create the 2005 first global statement regarding best practices in the management of diabetes during Ramadan as an official American Diabetes Association (ADA) report. Since then, we have received numerous requests and comments asking for updated versions that include the latest data, medications, and technology. We decided to issue an update every 5 years, including 2010, 2015 and 2020. Our updated recommendations collate some of the more directly implicative findings on patient care for Ramadan fasting and align closely with the ADA's consensus for diabetes management. We recommend the prioritisation of pharmacologic therapies with a low risk profile for hypoglycaemia. Technological advancements, including integrated pump-sensor systems, hybrid closed-loop systems, and artificial intelligence (AI)-equipped continuous glucose monitoring (CGM) devices, show great promise in the monitoring of blood glucose levels and can provide tangible reductions in hypoglycaemia episodes, suggesting possible utility in the facilitation of fasting in patients with type 1 diabetes mellitus (T1D). Our recommendations align with the ADA consensus for the use of CGM devices, in concordance with appropriate time in range (TIR) targets to reduce hypoglycaemia and glycaemic variability. The implications of Ramadan fasting on atherosclerotic cardiovascular disease (ASCVD) risk remain uncertain due to the sparsity of evidence, but the literature suggests an increased risk. Until more conclusive evidence is reported, we advise patients with a high ASCVD risk to avoid Ramadan fasting. We emphasise the pivotal role primary care providers (PCPs) have in counselling, managing, and following patients who intend to fast and advise counselling to begin ideally 6-8 weeks prior to Ramadan start, with particular recommendations to be given to patients post-bariatric surgery.
    Keywords:  Ramadan; bariatric surgery; cardiovascular; diabetes; primary care; technology
    DOI:  https://doi.org/10.1002/dmrr.70057
  16. Open Med (Wars). 2025 ;20(1): 20251158
       Background: Despite the high prevalence and serious clinical implications of coronary artery disease (CAD) in patients with type 2 diabetes mellitus (T2DM), the relationship between glycemic control and CAD is usually overlooked. This study aimed to explore the relationship between time in range (TIR), a surrogate marker for glycemic control, and CAD in patients with T2DM.
    Methods: Overall, 334 patients with T2DM were included and analyzed in this cross-sectional study. The presence of CAD was determined angiographically and the Gensini score was applied to evaluate CAD severity. TIR was calculated from sensor glucose from continuous glucose monitoring. Multivariable-adjusted logistic regression analysis was used to evaluate the relationship between TIR and CAD presence.
    Results: T2DM with CAD had significantly lower TIR than those without (75.68 ± 13.74 vs 66.12 ± 11.87, P < 0.01). Moreover, TIR was correlated with CAD severity as indicated by the Gensini score. Multivariable-adjusted logistic regression analysis indicated that a higher TIR was an independent protective factor for CAD in patients with T2DM (OR = 0.919, 95% CI: 0.896-0.942).
    Conclusion: TIR is significantly and independently related to CAD severity in T2DM patients. Thus, TIR could be a promising biomarker for the noninvasive assessment of CAD presence and severity in T2DM.
    Keywords:   type 2 diabetes; continuous glucose monitoring; coronary artery disease; surrogate marker; time in range
    DOI:  https://doi.org/10.1515/med-2025-1158
  17. Wound Repair Regen. 2025 May-Jun;33(3):33(3): e70052
      Diabetic foot ulcer is a meaningful risk factor for limb amputation. The aim of this study was to evaluate the relationship between parameters provided by Continuous Glucose Monitoring and the healing time of DFUs in the real world. This pilot prospective study included patients with Type 2 diabetes with DFUs grade I-II (stage A-C) of the University of Texas Diabetic Wound Classification System, treated in an outpatient Diabetic Foot Unit according to standards of care. Participants were fitted with a CGM device until the ulcer closure. We observed an inverse correlation between the elapsed time to achieve a complete ulcer closure and Time in Range (p = 0.005). In addition, a direct correlation was found between the time required for ulcer healing and both Time Above Range and Glucose Management Indicator (p < 0.05). Glycaemic control is directly related to ulcer wound healing in non-complicated diabetic foot ulcer.
    Keywords:  continuous glucose monitoring; diabetic complications; diabetic foot ulcer; wound healing
    DOI:  https://doi.org/10.1111/wrr.70052
  18. Diabet Med. 2025 Jun 08. e70083
       AIMS: Living with type 1 diabetes can be challenging, and diabetes distress may be overlooked during time-constrained clinical assessments. Screening for diabetes distress with the one-item Problem Areas in Diabetes Scale (PAID)-1, in conjunction with the five-item PAID-5, may offer an efficient method to improve type 1 diabetes assessment. We aimed to evaluate the utility of this approach to identify possible diabetes distress and its clinically significant covariates.
    METHODS: We performed a retrospective, real-world, cross-sectional study of adults attending a multidisciplinary type 1 diabetes outpatient clinic at a tertiary centre from October 2023 to September 2024, inclusive. Screening was conducted using PAID-5 (incorporating PAID-1) during the initial consultation.
    RESULTS: There were 160 adults included (median age 38 years [IQR 30-52]; type 1 diabetes duration 16 years [4-24]; n = 138 [86%] were using continuous glucose monitoring [CGM]). PAID-5 median score was 8 [4-12]; 83 individuals (52%) had a score ≥8, indicating possible diabetes distress. Higher diabetes distress screening scores were associated with CGM metrics indicative of hyperglycaemia; no associations were observed with CGM-detected hypoglycaemia. PAID-1 had sensitivity 81% and specificity 96% for PAID-5-detected diabetes distress.
    CONCLUSIONS: A high prevalence of diabetes distress was detected on screening among adults attending a tertiary type 1 diabetes service. This highlights the importance of psychological assessment and implementation of management strategies for diabetes distress to reduce the burden of living with type 1 diabetes. Our findings support the use of the PAID-1 as a rapid screening tool to assess for diabetes distress.
    Keywords:  adults; clinical care; diabetes distress; psychosocial health; screening; type 1 diabetes
    DOI:  https://doi.org/10.1111/dme.70083
  19. J Diabetes Sci Technol. 2025 Jun 09. 19322968251345836
       BACKGROUND: Despite rapidly evolving diabetes technology and evidence that early access to technologies improves outcomes, there is disparate use based on socio-demographic factors. We sought to characterize technology uptake in the year following diagnosis of type 1 diabetes in youth based on race/ethnicity, insurance, and household structure.
    METHODS: We conducted a retrospective cohort study of 692 youth diagnosed with and treated for type 1 diabetes between 2016 and 2020 at a children's hospital. Medical record review provided outcomes of interest, including time to initiation of continuous glucose monitors (CGMs), insulin pump therapy, or both. We used cumulative incidence curves and competing risks regression to compare time to initiation by socio-demographic groups.
    RESULTS: There were 692 youth, 59% male, diagnosed at a mean age of 10.8 (±4.2) years, in the sample. The majority (83.2%) were White, English-speaking (94.4%), and privately insured (76.7%), with 71.7% living in two-parent households. Cumulative incidence curves and competing risks regression showed that publicly insured youth had a lower likelihood of starting diabetes technologies in the year following diagnosis than privately insured youth. Black and Hispanic youth were less likely than white youth to start CGM and insulin pumps. Youth from non-intact households similarly exhibited lower rates of technology uptake. Hazard ratios for time to both technologies were comparable to those for time to insulin pump.
    CONCLUSIONS: These findings highlight the importance of developing interventions to advance diabetes technology use from onset of type 1 diabetes for all youth.
    Keywords:  childhood type 1 diabetes; closed-loop insulin delivery; continuous glucose monitoring; continuous subcutaneous insulin infusion (CSII); health equity and disparities
    DOI:  https://doi.org/10.1177/19322968251345836
  20. Mikrochim Acta. 2025 Jun 12. 192(7): 415
      A novel surface-enhanced Raman scattering (SERS) substrate, gold nanoparticle-loaded titanium dioxide nanorods (TiO2@Au NRs), is introduced and its successful application in glucose detection demonstrated. The unique three-dimensional columnar structure of TiO2@Au NRs, coupled with the synergistic effects of localized surface plasmon resonance, charge transfer, and Mie resonance, significantly enhances the Raman signal intensity of target molecules. This substrate exhibits remarkable stability, maintaining consistent performance for at least 70 days. Functionalization with p-mercaptophenylboronic acid enables selective capture and detection of glucose, providing a stable, non-enzymatic detection method that eliminates enzyme-related instability. This approach achieves a detection limit of 76 µM with a broad linear range of 100 µM-50 mM, effectively covering both physiological and pathological blood glucose levels. Validation with blood samples confirms high accuracy, with most errors remaining within 2%. These results demonstrate the excellent SERS performance of TiO2@Au NRs and their potential for reliable, non-enzymatic glucose monitoring in diabetes management.
    Keywords:  Diabetes; Glucose; SERS; TiO2@Au NRs
    DOI:  https://doi.org/10.1007/s00604-025-07287-7