bims-glumda Biomed News
on CGM data in management of diabetes
Issue of 2025–12–14
sixteen papers selected by
Mott Given



  1. Diabetes Obes Metab. 2025 Dec 09.
       AIMS: To compare the associations of HbA1c and continuous glucose monitoring (CGM)-derived average glucose with microvascular complications in adults with type 1 diabetes, and to assess the clinical utility and stability of metrics capturing glycation discordance.
    MATERIALS AND METHODS: Observational assessment of 9023 paired measurements of CGM data (14 days) and HbA1c in 2721 adults with type 1 diabetes. CGM metrics, HbA1c, and markers of discordance between HbA1c and CGM average glucose were associated with prevalent retinopathy (any and proliferative) and microalbuminuria.
    RESULTS: HbA1c was higher than expected in older individuals (62 mmol/mol [54-71] age >45 vs. 61 mmol/mol [52-71], p = 0.004) and in women (62 mmol/mol [54-71] vs. 61 mmol/mol [53-71], p < 0.001) despite lower or similar average glucose levels. Fewer than one-third of individuals remain within the same HbA1c-average glucose discordance category over time. HbA1c (p < 0.001), average glucose (p < 0.001), CV glucose (p < 0.001), and socioeconomic deprivation (p = 0.003) were all independently associated with retinopathy risk (with similar results for proliferative retinopathy). Higher glycation was associated with a lower likelihood of prevalent retinopathy (p < 0.001).
    CONCLUSIONS: CGM-derived average glucose appears superior to HbA1c as a marker of prevalent microvascular complications. These data challenge the high-glycator hypothesis and also suggest glucose variability may be an independent risk marker for microvascular disease.
    Keywords:  continuous glucose monitoring (CGM); diabetic retinopathy; glycaemic control; type 1 diabetes
    DOI:  https://doi.org/10.1111/dom.70365
  2. J Endocr Soc. 2026 Jan;10(1): bvaf169
       Context: The post-hospitalization period is a vulnerable time for patients with type 2 diabetes (T2D).
    Objective: To assess usefulness of continuous glucose monitoring (CGM) for optimizing glucose levels and supporting medication use and behavioral change.
    Methods: We conducted a prospective, nonrandomized study of hospitalized adults with type 2 diabetes, HbA1c > 8%, and requiring ≥10 units of basal insulin daily. Participants received the Dexcom G6 and had follow-up visits at week 2, 4, 8, and 12 following discharge. The primary focus of analysis was change in HbA1c from 0 to 12 weeks. Secondary outcomes included CGM metrics, remote monitoring capability, and healthcare utilization.
    Results: Among 108 enrolled participants, 51% were monitored remotely, 79% had CGM data post-discharge, and 61% completed the 12-week visit. HbA1c (%) declined from 12% (interquartile range [IQR] 10%, 14%) to 8.2% (IQR 6.9%, 9.3%) (P < .0001). Time in glucose range 70 to 180 mg/dL (TIR) increased from 37% (IQR 17, 61) at 2 weeks to 43% (IQR 14, 86) at 12 weeks (P = .03). Among participants with endpoint HbA1c values, those with CGM data at all 4 visits, (44/60, 73%) had similar HbA1c, tended to be readmitted within 12 weeks less often (23% vs 50%, P = .06), and were more likely to have endocrinology follow-up (49% vs 6%, P = .003). Remote and manual monitoring groups had similar availability of CGM data, TIR, hypoglycemia, and healthcare utilization.
    Conclusion: Initiating CGM at hospital discharge was feasible, safe, and associated with significant glycemic improvement at 12 weeks. Additional studies are needed to optimize the implementation of CGM following discharge.
    Keywords:  continuous glucose monitor; hospital; type 2 diabetes
    DOI:  https://doi.org/10.1210/jendso/bvaf169
  3. Diabetes Metab. 2025 Dec 04. pii: S1262-3636(25)00114-4. [Epub ahead of print]52(1): 101720
       BACKGROUNG: In patients with type 2 diabetes (T2D) undergoing hemodialysis (HD), glycemic control is challenging, and glycated hemoglobin (HbA1c) is often unreliable due to altered red blood cell turnover, anemia, and treatments such as erythropoiesis-stimulating agents. Continuous glucose monitoring (CGM) provides additional metrics-such as time in range (TIR), time below range (TBR), and glycemic variability-that may better reflect glucose control in this population. This study aimed to assess the usefulness of 14-day CGM data compared to HbA1c in evaluating glycemic control in T2D patients on HD.
    METHODS: This is a prospective and multicenter study. Patients included were of > 18 years, DM2, and hemodialysis patients. We assessed glycemic control of diabetic hemodialysis patient over 14 days with the CGM freestyle 1 comparing to HbA1c.
    RESULTS: Forty-one patients were included. While 68 % had HbA1c < 8 %, only 21 % met the CGM targets (P < 0.005). Mean glucose levels were significantly lower on dialysis days (-13 mg/dl, P < 0.0001), without an increase in hypoglycemic episodes. Discrepancies between HbA1c and CGM metrics were associated with diabetes-related nephropathy and longer duration of HD.
    CONCLUSION: HbA1c alone may substantially underestimate glycemic burden in patients on hemodialysis. CGM provides a more accurate assessment of glucose control and reveals undetected hypo- and hyperglucose levels. Incorporating CGM into routine care may improve diabetes management and therapeutic decision-making in this high-risk population.
    Keywords:  Continuous glucose monitoring; Glycemic variability; HbA1c; Hemodialysis; Hypoglycemia; Time in range; Type 2 diabetes
    DOI:  https://doi.org/10.1016/j.diabet.2025.101720
  4. Eur J Pediatr. 2025 Dec 12. 185(1): 10
      
    Keywords:  Continuous glucose monitoring (CGM); Diabetic ketoacidosis (DKA); Pediatric Intensive Care Unit (PICU); Type 1 diabetes (T1D)
    DOI:  https://doi.org/10.1007/s00431-025-06684-7
  5. Ann Pediatr Endocrinol Metab. 2025 Dec 08.
       Purpose: Continuous glucose monitoring (CGM) is recommended by clinical guidelines for pediatrics and adults with type 1 diabetes (T1D) to improve clinical outcomes. In Thailand, CGM was incorporated into the Universal Healthcare Coverage (UHC) program just over a year ago. This study aimed to evaluate preliminary clinical outcomes and device adoption at a single tertiary care center. To assess glycemic outcomes before and after CGM use following the UHC reimbursement program and compare results across four groups: Self-Monitoring Blood Glucose (SMBG), CGM, Open Loop Insulin Pump, and Hybrid Closed-Loop (HCL) System. CGM adherence and parameters were also analyzed.
    Methods: This retrospective-prospective study collected and analyzed demographic data, HbA1c levels, and CGM parameters.
    Results: A total of 142 T1D patients (median age: 17.3 years, range 3.5-69.2) were included. Baseline HbA1c was 8.1 ± 1.5%, with no significant differences between groups (P=0.223). The HCL group showed the largest HbA1c reduction at 12 months (-0.99%, P=0.001), particularly in patients <18 years (-1.21%, P=0.014). CGM users showed improvements in HbA1c (-0.29%) and increase in the proportion achieving TIR ≥ 70% at 12 months (69.2% vs. 47.1%, P = 0.08), though not statistically significant. Preliminary CGM uptake was 12% (17/142). HCL users exhibited higher TIR and better sensor adherence (P<0.05), while other groups showed no significant changes.
    Conclusion: The Hybrid Closed-Loop system significantly improved glycemic outcomes, particularly in younger patients. However, CGM adoption remains low, highlighting the need for expanded access, enhanced reimbursement policies, and improved adherence strategies.
    Keywords:  Continuous glucose monitoring; Glycemic outcomes; Hybrid closed-loop system; Time-in-range; Type 1 diabetes; Universal healthcare coverage
    DOI:  https://doi.org/10.6065/apem.2550096.048
  6. Diabetes Res Clin Pract. 2025 Dec 04. pii: S0168-8227(25)01059-9. [Epub ahead of print]231 113044
       AIMS: We evaluated continuous glucose monitoring (CGM)-derived metrics for predicting gestational diabetes mellitus (GDM).
    METHODS: We analyzed data from 167 pregnant participants who had ≥ 3 days of CGM data at 18-24 weeks' gestation and who underwent 75-gram oral-glucose-tolerance-tests at 24-28 weeks in a multi-ethnic prospective cohort. Predictive performance of CGM metrics was assessed using the area-under-the-receiver-operating-characteristic-curve (AUROC) with 20 repetitions of 5-fold cross-validation; optimal cut-points were determined using Youden's index.
    RESULTS: There were 30 (18 %) GDM cases. The strongest predictors were %time-above-7.8-mmol/L (%TA7.8) [AUROC (95 % CI): 0.862 (0.780, 0.945); cut-point: 1.23 %; sensitivity: 0.800; specificity: 0.847] and the hyperglycemia-component-of-the-Glycemic-Risk-Index (Hyper-GRI) [0.862 (0.779, 0.945); cut-point: 0.79; sensitivity: 0.767; specificity: 0.883]. J-index, standard deviation (SD), and mean-amplitude-of-glucose-excursions(MAGE) also achieved AUROCs > 0.80. The predictive performance of these metrics was stronger in women with BMI < 23 kg/m2 (n = 89; AUROC range: 0.813-0.882) than in those with BMI ≥ 23 kg/m2 (n = 78; AUROC range: 0.657-0.756). Among Chinese participants (n = 142), %TA7.8 and J-index had AUROC > 0.80; in non-Chinese participants (n = 25), SD performed best (AUROC: 0.845). Adding individual CGM metrics to a model including maternal age, pre-pregnancy BMI, job status, ethnicity, history of GDM, and family history of diabetes improved the AUROC from 0.642 to 0.895 (%TA7.8), 0.867 (Hyper-GRI), 0.877 (J-index), 0.868 (SD), and 0.848 (MAGE).
    CONCLUSIONS: CGM-derived metrics show good performance in predicting GDM and potential for earlier detection of adverse pregnancy glycemic profiles.
    Keywords:  Continuous glucose monitoring; Gestational diabetes mellitus; Glycemic variability; Insulin resistance; Predictive modelling; Pregnancy
    DOI:  https://doi.org/10.1016/j.diabres.2025.113044
  7. J Diabetes Sci Technol. 2025 Dec 08. 19322968251389630
       INTRODUCTION: Current continuous glucose monitors (CGM) sensing glucose in the subcutaneous tissue have a significant time lag (τ). This delay could result in severe hypo/hyperglycemia and lower time in range (TIR). Dermal sensing can greatly reduce time lag.
    METHODS: In a clinical study conducted at two US-based clinical centers, subjects with type 1 diabetes mellitus (DM) wore a novel dermal CGM + Abbott-Libre 3 or Dexcom-G7. All were compared to a YSI-glucose analyzer. Time lag kinetics for all sensors were modeled using the two-compartment model and compared to published data. Time lag data and its potential effect on TIR were also analyzed.
    RESULTS: Data from 55 subjects showed fast kinetics for the dermal CGM. In total, 93% of the Laxmi sensors had a τ of 0-2 minutes, whereas commercial CGMs had a varying distribution of τ (-10 to 10+ minutes). This reduction in τ by 10 minutes has profound effects on errors in insulin administration in both open-loop and in a proportional-integral-derivative (PID) model of automated insulin delivery (AID). To evaluate the effect of tau on TIR, we used an in silico PID controller in a well-accepted model (UVA type 1 diabetes simulator) over a variety of conditions. We observed that tau greatly affects TIR and the distribution of the time out of range parameters.
    CONCLUSION: Dermal sensing has a time lag close to 0. Individuals with DM can have lower glucose targets with a system that eliminates fear of hypoglycemia, resulting in higher TIR and better control of DM.
    Keywords:  continuous glucose monitoring; dermal glucose sensing; iCGM; time in range; time lag
    DOI:  https://doi.org/10.1177/19322968251389630
  8. Am J Health Syst Pharm. 2025 Dec 08. pii: zxaf344. [Epub ahead of print]
       PURPOSE: To determine the impact of pharmacist intervention with real-time continuous glucose monitors (rtCGMs) on glycated hemoglobin (HbA1c) levels and the number of pharmacist touchpoints compared to standard of care (SOC).
    METHODS: Patients receiving care at a primary care clinic using an established pharmacist diabetes management protocol for patients with type 2 diabetes and an HbA1c value of 9% or higher despite taking basal insulin were included in this study. The SOC group comprised patients receiving ongoing care, while care for the rtCGM study group followed the same protocol with addition of Dexcom G6 rtCGMs. Data on patient demographics, comorbidities, and medications were collected for comparison. The primary outcome was the between-group difference in changes in HbA1c. The secondary outcome was the difference in pharmacist touchpoints, quantified as the number of patient telephone calls completed and attempted, along with medication interventions.
    RESULTS: Fifty-seven patients were included in the final analysis: 30 in the SOC group who received pharmacist intervention and 27 in the combined pharmacist intervention and rtCGM group. The mean (SD) reduction in HbA1c in the SOC group at 90 days was 2.05% (1.20%) compared to 2.94% (1.18%) in the rtCGM group (P = 0.0165). The secondary outcome failed to reach statistical significance (P = 0.1413).
    CONCLUSION: In suboptimally managed type 2 diabetes, augmentation of a standard diabetes management protocol with rtCGMs was associated with significantly greater HbA1c reduction.
    Keywords:  community health; continuous glucose monitoring; diabetes mellitus; glycated hemoglobin; pharmacy
    DOI:  https://doi.org/10.1093/ajhp/zxaf344
  9. Eur J Intern Med. 2025 Dec 05. pii: S0953-6205(25)00494-7. [Epub ahead of print] 106617
      
    Keywords:  Cardiometabolic drugs; Continuous glucose monitoring; Gaps in diabetes care; Hospital; inpatient care
    DOI:  https://doi.org/10.1016/j.ejim.2025.106617
  10. Gynecol Obstet Fertil Senol. 2025 Dec 07. pii: S2468-7189(25)00408-8. [Epub ahead of print]
      In France, 0.2% of women who gave birth in 2021 had type 1 diabetes, and 0.3% had type 2 diabetes. Regarding preconception care, it is recommended that women with any type of diabetes achieve an HbA1c level of less than 6.5%. For women using continuous glucose monitoring (CGM), the recommended target range is 0.70-1.80 g/L (3.9-10 mmol/L), and it is recommended to achieve this range at least 70% of the time. The preconception assessment includes: 1) an HbA1c measurement, 2) an assessment of microangiopathic impact, 3) an assessment of macroangiopathic complications, 4) screening for associated cardiovascular risk factors, and 5) a TSH measurement in women with type 1 diabetes (T1D), as well as screening for obstructive sleep apnea syndrome during questioning in cases of type 2 diabetes (T2D) and obesity in women with T1D. To improve preconception glycemic control, implementation of a CGM system is recommended for all women with T1D. Implementation of automated insulin delivery (AID) in anticipation of pregnancy should also be discussed as part of a shared medical decision. For type 2 diabetes, treatment with metformin and/or insulin therapy is recommended if necessary. Other antidiabetic treatments should be discontinued before conception. The following is recommended: 1) Discontinuing statin and potentially teratogenic antihypertensive treatments, replacing them with treatments compatible with pregnancy; 2) systematically providing smoking cessation advice to women who smoke, offering support from a healthcare professional trained in tobacco addiction; and 3) starting folic acid supplementation at 0.4 mg per day before conception. Finally, women of childbearing age should be regularly advised of the importance of planning their pregnancies during follow-up visits. They should also be provided with dietary care to improve glycemic control, and, in some cases, encouraged to lose weight prior to pregnancy. Women should be encouraged to engage in physical activity to improve glycemic control. Regarding care during pregnancy, the following metabolic targets are recommended: Fasting blood glucose should be less than 0.95 g/dL (less than 5.3 mmol/L), and postprandial blood glucose should be less than 1.20 g/dL (less than 6.7 mmol/L) two hours after eating. Time spent in the target range (0.63-1.40 g/dL [3.5-7.8 mmol/L]) should be greater than 70% for type 1 diabetes (T1D) and greater than 90% for type 2 diabetes (T2D). The HbA1c level should be less than 6% during pregnancy, and hypoglycemia should be limited as much as possible. An CGM is recommended for T1D during pregnancy. For women with T2D, an CGM is recommended or they should maintain multiple daily capillary self-monitoring of blood glucose as part of individualized management. For women with type 1 diabetes, treatment with an insulin pump infusion device (IUD) is recommended during pregnancy. For type 2 diabetes, insulin therapy is recommended. The addition or continuation of metformin should be discussed on a case-by-case basis, depending on the diabetes phenotype and glycemic control. Regular monitoring by a diabetes specialist and monthly monitoring by an obstetrician-gynecologist, in collaboration with a maternity ward, are recommended from the first trimester. Depending on the patient's history, treatment, pregnancy progress, and glycemic control, monitoring may be intensified in the third trimester. Regarding ultrasound monitoring, an ultrasound should be performed between 36 and 37 weeks of gestation to assess fetal growth, guide the mode of delivery, and determine gestational age at birth. Regarding fetal heart rate monitoring, there is insufficient data to recommend its use in predicting fetal death. Similarly, there is insufficient data to recommend routine aspirin prescriptions during pregnancy to prevent maternal or perinatal morbidity. Prenatal treatment with corticosteroids is recommended according to the same indications as for non-diabetic women. This treatment involves close monitoring of maternal blood glucose control during hospitalization and an increase in the usual dose of insulin during the days following corticosteroid administration. Regarding acute diabetes complications, women who do not perceive their hypoglycemia should be identified to adapt monitoring and alert women with type 1 diabetes mellitus (T1DM) to the increased risk of hypoglycemia during the first trimester of pregnancy. Regarding diabetic ketoacidosis, capillary ketonemia should be measured when clinical signs of ketoacidosis are present (e.g., nausea, vomiting, and abdominal pain) and systematically when blood glucose levels are greater than or equal to 2 g/dL (11 mmol/L). Women should be screened for diabetic retinopathy (DR) through quarterly ophthalmological monitoring during pregnancy, which may increase to monthly monitoring if risk factors are present. An initial assessment of kidney function is recommended for screening for diabetic nephropathy before pregnancy or during the first trimester. If diabetic nephropathy is diagnosed, then monthly monitoring is recommended. In cases of high blood pressure, the target blood pressure should be below 140/90 mmHg. In the context of pre-existing diabetes, a cesarean section is recommended for delivery if fetal weight is suspected to be greater than 4,500 g to reduce the risk of brachial plexus palsy and other associated neonatal injuries. Due to the risk of fetal mortality, delivery should be considered between 37 and 38+6 weeks of gestation. The gestational age at birth depends on the presence of comorbidities, blood glucose levels, and estimated fetal weight (macrosomia or intrauterine growth restriction). The obstetrician-gynecologist, anesthesiologist, and pediatrician should be present in the maternity ward during delivery. Recommended blood glucose targets during labor and delivery are 0.8 g/L to 1.4 g/L (4.4 mmol/L to 7.8 mmol/L). Monitoring can be performed using capillary blood glucose measurements or continuous glucose monitoring (CGM). Rapid-acting insulin is the preferred treatment for managing labor. According to an advance protocol agreed upon with the diabetes specialist, insulin can be administered via an insulin pump, IUD, continuous intravenous infusion, or multiple injections. In the event of glycemic imbalance, continuous intravenous insulin therapy should be used as rescue therapy. For postpartum management of T1D, a reduction in insulin doses is recommended in the immediate postpartum period. For women with T2D, oral or injectable antidiabetic drugs should be reintroduced. If the woman is breastfeeding, metformin is the only acceptable oral antidiabetic drug. Women should be informed during pregnancy about the benefits of breastfeeding, and breastfeeding should be actively supported if desired. Breastfeeding should be encouraged in the delivery room. If the woman wishes to use contraception in the immediate postpartum period, it is recommended that she be prescribed either long-acting reversible contraception (such as a copper or hormonal intrauterine device or a subcutaneous implant) or a microgestin-only pill. An initial consultation with a diabetes specialist should take place within six months after birth. Regarding neonatal care, active measures should be taken to prevent hypoglycemia, including: 1) thermoregulation (e.g., early skin-to-skin contact and rapid drying of the newborn after birth), 2) feeding within one hour of birth, and 3) encouraging breastfeeding if desired. Blood glucose monitoring should begin before the infant's second feeding and no later than 4 hours after birth, or earlier if the infant exhibits symptoms such as tremors, hypothermia, or irritability. Monitoring should continue before each feeding every three hours for at least 24 hours. Each team caring for these newborns should have a protocol for preventing, monitoring, and treating hypoglycemia. The child's medical record should indicate that the pregnancy occurred in the context of preexisting diabetes and specify the type of diabetes.
    Keywords:  Insulin; Insuline; accouchement; childbirth; continuous glucose monitoring; diabetes; diabète; déclenchement; induction; mesure continue du glucose
    DOI:  https://doi.org/10.1016/j.gofs.2025.12.001
  11. Diabetes Technol Ther. 2025 Dec 03.
      Background: CGM is associated with improved diabetes management. Prior studies have evaluated its effects on health care utilization and costs among individuals using insulin, particularly those prescribed rapid- and short-acting regimens. The present study compared clinical and economic outcomes between CGM users and nonusers in a large, diverse, real-world population of rapid- and short-acting insulin users. Methods: Using the Mariner Commercial Claims Database, adults with diabetes and at least one claim for rapid- or short-acting insulin between January 1, 2010, and October 31, 2022, were identified. Two cohorts were defined based on receipt of CGM: those with CGM (wCGM) and those without CGM (xCGM). Direct matching was applied to ensure comparability between groups. Outcomes included total medical costs, emergency room (ER) days, inpatient (IP) days, ER and IP days associated with hypoglycemia, diabetic ketoacidosis (DKA), or mixed events, and the likelihood of achieving glycated hemoglobin (HbA1c) <9%. The National Committee for Quality Assurance considers HbA1c >9% as "poor control". Results: After applying exclusion criteria, 3,139,979 individuals met inclusion criteria. Of these, 536,512 received a CGM and 2,603,467 did not, meaning approximately 83% of eligible individuals had no evidence of CGM use. Total health care costs were significantly lower in the wCGM cohort ($6,245) compared with the xCGM cohort ($7,786; t(698,086) = -71.41, P < 0.001). The wCGM group also had significantly fewer ER days and IP days at 3, 6, 9, and 12 months. CGM users had 19% higher odds of achieving HbA1c <9% compared with nonusers (odds ratio [OR] = 1.19). A significantly smaller proportion of individuals in the wCGM cohort had ER/IP days associated with hypoglycemia, DKA, or both. Conclusions: These findings reinforce the clinical and economic value of CGM and support recent policy updates expanding access for insulin-treated populations.
    Keywords:  CGM; continuous glucose monitoring; diabetes; health care resource utilization; medical costs; prandial insulin
    DOI:  https://doi.org/10.1177/15209156251403569
  12. Drug Discov Ther. 2025 Dec 11.
      Rapid postprandial elevations in interstitial glucose contribute to the progression of type 2 diabetes and associated vascular complications. Nutritional sequencing strategies, such as consuming dietary fiber or protein before carbohydrate intake, have been proposed to attenuate glucose excursions by delaying gastric emptying, stimulating incretin secretion, and enhancing insulin responsiveness. However, observational evidence under real-world conditions remains scarce in both healthy individuals and those with diabetes. We performed an observational study including healthy participants and individuals with type 2 diabetes. All participants were equipped with a continuous glucose monitoring system (FreeStyle Libre™) for 14 days to capture interstitial glucose profiles under daily living conditions. Participants simultaneously recorded dietary intake and meal timing. Postprandial glucose excursions were evaluated by comparing carbohydrate ingestion alone with ingestion preceded by fiber and/or protein. Preceding carbohydrate intake with dietary fiber or protein was associated with significant attenuation of postprandial glucose excursions compared with carbohydrate alone. This effect was particularly evident within the first 120 minutes after eating and was most pronounced when fiber and protein were consumed in combination. Attenuation occurred in both healthy individuals and participants with type 2 diabetes, though the magnitude of suppression varied across groups. Our findings indicate that consuming fiber and protein prior to carbohydrate intake can substantially mitigate rapid postprandial glucose rises. These results support the physiological rationale for macronutrient sequencing and underscore the potential of simple, practical dietary strategies to improve glycemic control in daily life among both healthy individuals and those with diabetes.
    Keywords:  Continuous glucose monitoring (FreeStyle Libre™); macronutrient sequencing; postprandial glucose excursions; type 2 diabetes mellitus and healthy individuals
    DOI:  https://doi.org/10.5582/ddt.2025.01099
  13. Diabetes Obes Metab. 2025 Dec 12.
       OBJECTIVES: To evaluate the efficacy and safety of advancing to higher levels of diabetes technology in older adults with type 1 diabetes (T1D).
    METHODS: Web of Science, PubMed, Cochrane Library, and SCOPUS were searched. Inclusion criteria were randomised controlled trials (RCTs); aged ≥60 years with T1D. Interventions were pre-specified into two domain comparisons: (1) Higher-level insulin delivery (defined as automated insulin delivery, AID) versus lower-level insulin delivery (comprising sensor-augmented pumps and predictive low-glucose suspend); and (2) Higher-level glucose monitoring (defined as continuous glucose monitoring, CGM) versus lower-level glucose monitoring (self-monitoring of blood glucose). Co-primary efficacy outcomes were time-below-range of <3.9 mmol/L(TBR3.9) and time-in-range of 3.9-10.0 mmol/L (TIR). Safety outcomes were episodes of diabetic ketoacidosis (DKA) and severe hypoglycemia (SH).
    RESULTS: Five RCTs (comprising six comparisons) with 482 participants were included. Three trials enrolled participants aged ≥60 years, and two trials enrolled those aged ≥65 years. Three crossover trials contributed to the AID comparison, and two parallel to the CGM comparison. The mean age was 69.2 years, with a mean T1D duration of 36.1 years. In the pooled analysis, higher-level technologies significantly increased TIR (MD = +7.90%, 95% CI: 7.09 to 8.72, p <0.001) and reduced TBR3.9 (MD = -0.62%, 95% CI: -1.02 to -0.22, p = 0.002). Benefits were also observed for TBR <3.0 mmol/L, time-above-range >10.0 and >13.9 mmol/L, HbA1c, and glycemic variability (all p <0.05). Critically, SH risk was markedly lower with higher-level technologies (Peto OR = 0.16, 95% CI: 0.06 to 0.41, p <0.001; number-needed-to-treat = 20), without a significant increase in DKA risk (Peto OR = 3.72, 95% CI: 0.75 to 18.49, p = 0.11).
    CONCLUSIONS: Advancing to higher-level technologies for glucose monitoring and insulin delivery significantly and safely improve glycemic control in older adults with T1D. Physiological age alone should not be a primary barrier to prescribing these technologies, particularly for carefully selected older adults.
    Keywords:  automated insulin delivery; continuous glucose monitoring; diabetes type 1; elderly; glycemic outcomes; meta‐analysis
    DOI:  https://doi.org/10.1111/dom.70355
  14. Br J Community Nurs. 2025 Dec 02. 30(12): 574-582
       BACKGROUND: Since the publication of the National Institute for Care and Health Excellence's TA943 guidance, the uptake of continuous glucose monitoring and hybrid closed loop systems in type 1 diabetes care is expanding rapidly. Community diabetes specialist nurses and general practice nurses are both integral to implementing these technologies outside of hospital settings.
    AIMS: To explore and understand the confidence levels, training and support available to community diabetes specialist nurses and general practice nurses in relation to continuous glucose monitoring and hybrid closed loop systems technologies, based on a national service evaluation.
    METHODS: A national survey was distributed to UK nurses and midwives in May 2025. Confidence was measured across five continuous glucose monitoring and hybrid closed loop systems domains, with qualitative feedback analysed thematically.
    FINDINGS: Community diabetes specialist nurses showed moderate to high confidence with continuous glucose monitoring and variable confidence with hybrid closed loop systems. General practice nurses reported low confidence across all domains, with minimal access to formal training. Differences in support structures and team composition contributed to capability gaps.
    CONCLUSIONS: Tailored training, system-wide support and commissioning reform are needed to ensure equitable technology-enabled diabetes care across community and primary care settings.
    Keywords:  community diabetes specialist nurse; continuous glucose monitoring; general practice nurse; hybrid closed loop; nursing associates; taskification of care; technology in diabetes; type 1 diabetes; workforce development
    DOI:  https://doi.org/10.12968/bjcn.2025.0108
  15. Diabetes Technol Ther. 2025 Dec 03.
      Background: Physical activity (PA) poses significant challenges in glucose management for individuals with type 1 diabetes (T1D). Real-world PA is more frequent than structured PA, but remains underexplored. We analyzed 8171 real-world PA sessions comprising 45 activity types from the Type 1 Diabetes Exercise Initiative, examining hypoglycemia risk correlations with PA-level and population-level factors. Methods: Hypoglycemia risk was measured by change in continuous glucose monitoring (ΔCGM) from PA onset to end, low blood glucose index (LBGI), and hypoglycemia event occurrence. Primary analyses used analysis of variance and Tukey's range test to measure correlations. Secondary analyses compared risk across activity types and categories (aerobic, mixed, and anaerobic). Results: Higher hypoglycemia risk was associated with longer PA duration (median [Interquartile Range (IQR)] ΔCGM -24 [-60, 11] mg/dL for 60-120 min vs. -12 [-31, 5] mg/dL for 15-30 min), lower starting glucose (90% of sessions starting <50 mg/dL had hypoglycemia), and declining glucose rates before PA (all P < 0.05). Carbohydrate (CHO) intake 2-4 h before and during PA was associated with higher hypoglycemia risk (ΔCGM -37 [-67, -14] mg/dL with rescue CHO vs. -15 [-42, 8] mg/dL without, P < 0.05), but this paradoxical effect was explained by higher insulin on board (IoB) and lower starting glucose. Males had larger glucose drops (ΔCGM -20 [-46, 4] mg/dL vs. -16 [-44, 7] mg/dL in females, P < 0.05). Closed-loop users exhibited lower LBGI compared with open-loop users (P < 0.05). Secondary analyses showed significant glycemic variability across activity types (P < 0.05). Aerobic activities caused the greatest glucose drop, followed by mixed and anaerobic (P < 0.05), whereas LBGI differences were nonsignificant (P = 0.32). Conclusions: Real-world PA has a highly variable glycemic impact, with longer duration, lower starting glucose, and higher IoB increasing hypoglycemia risk. Glycemic responses differed significantly by activity type, with aerobic activities resulting in the greatest decline. These findings highlight the need for tailored strategies to mitigate PA-related hypoglycemia in T1D.
    Keywords:  continuous glucose monitoring; exercise; hypoglycemia; physical activity; type 1 diabetes
    DOI:  https://doi.org/10.1177/15209156251400209
  16. Clin Med (Lond). 2025 Dec 05. pii: S1470-2118(25)00257-X. [Epub ahead of print] 100539
      Diabetes is a growing public health concern. Approximately 20% of acute NHS hospital beds are occupied by individuals with diabetes. Following the recent NICE (National Institute for Health and Care Excellence) updates, diabetes technologies are increasingly available in the NHS. Despite the benefits, they present challenges. e.g., unfamiliarity, insufficient education, and lack of confidence of general physicians who are increasingly likely to encounter people using these technologies, presenting with acute illnesses. This review aims to update the general physicians with diabetes technologies such as continuous glucose monitors, insulin pumps, hybrid closed loop system and how to troubleshoot in acute illnesses, diabetes emergencies, perioperative management and radiological investigations. While it is important to develop consistent inpatient-care pathways and out-of-hours support from diabetes teams, it is vital to enhance the knowledge and confidence of non-diabetes physicians. Further research is warranted to support the use of technology in inpatient settings and diabetes emergencies.
    Keywords:  (Hybrid close loop) HCL; CSII; Continuous Glucose Monitor (CGM); Diabetes; Technology; inpatient care; insulin pumps
    DOI:  https://doi.org/10.1016/j.clinme.2025.100539