Long-Term Improvements in Glycemic Control with Dexcom CGM Use in Adults with Noninsulin-Treated Type 2 Diabetes

Diabetes Technology & Therapeutics, Journal Year: 2024, Volume and Issue: unknown

Published: June 21, 2024

The objective of this real-world, observational study was to evaluate change in continuing glucose monitoring (CGM) metrics for 1 year after CGM initiation adults with noninsulin-treated type 2 diabetes (T2D).

Language: Английский

---

Intermittent Use of Flash Glucose Monitoring Improves Glycemic Control in Chinese Older Patients with Type 2 Diabetes Mellitus

Diabetes Metabolic Syndrome and Obesity, Journal Year: 2025, Volume and Issue: Volume 18, P. 1 - 9

Published: Jan. 1, 2025

Objective: To explore the efficacy and safety of intermittent use flash glucose monitoring (FGM) for improving glycemic control in Chinese elderly patients with type 2 diabetes mellitus (T2DM). Methods: This is a prospective observational study involving T2DM aged ≥ 60 years. The period spans 12 weeks, participants wearing FGM at weeks 0, 5, 10. Participants were divided into two subgroups based on HbA1c enrollment: < 7.0% 7.0%. primary outcome was level. Secondary outcomes included time range (3.9– 10mmol/L) (TIR), below (< 3.9mmol/L) (TBR), above (> 10.0mmol/L) (TAR), variability (GV). Results: A total 68 completed 12-week follow-up (age 67.9 ± 5.2 years; BMI 25.4 3.3kg/m²). Overall findings revealed that compared to baseline, decreased from 7.81 1.25% 7.44± 1.10% after (p 0.001). In subgroup analysis 7.0%, results showed significant reduction 0.51mmol/L (8.36 0.95% vs 7.75 0.97%, p And there TBR 7% = 0.028). Multiple linear regression baseline (β − 0.529, P< 0.001), duration 0.341, P frequency sensor 0.269, 0.043) associated Conclusion: Intermittent an improvement reduces risk hypoglycemia T2DM. Keywords: monitoring, mellitus, HbA1c,

Language: Английский

---

Impact of continuous glucose monitoring in underserved adults with type 2 diabetes within the United States: A scoping review

JACCP JOURNAL OF THE AMERICAN COLLEGE OF CLINICAL PHARMACY, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 29, 2025

Abstract Background Continuous glucose monitoring (CGM) has improved diabetes management but remains underused among low‐income populations who have a higher prevalence. With the additional consideration of socioeconomic factors limiting resources to maintain health, further understanding effectiveness CGM in marginalized patients is needed. This scoping review synthesizes evidence on health outcomes impacted by use adults with type 2 mellitus (T2DM) receiving care settings. Methods PRISMA‐ScR guidelines were used identify studies through PubMed, Embase, and CINAHL. A search strategy combined MeSH terms keywords reviewing titles abstracts. The included English‐language using from inception May 2024; participants 18 years or older T2DM, majority meeting pre‐defined status study being conducted setting. Studies pregnant patients, meta‐analyses, systematic reviews excluded. Two reviewers independently performed selection, data extraction, quality assessment. authors received no financial support for this research. Results identified 1176 studies, 198 duplicates, resulting 978 screened Forty‐six underwent full text review, 31 Ultimately, 15 (5 abstracts, 9 manuscripts, 1 case report) met criteria. led reductions hemoglobin A1C levels across settings such as Federally Qualified Health Centers, clinics serving underinsured, county departments, rural clinics. Other benefits reduced hypoglycemia, levels, increased time range. Discussion described showed an improvement diabetes‐related clinical patients. Limited amount was main limitation review. Insights highlight need research interventions enhance access address barriers promote equity underserved populations, especially becomes available over counter.

Language: Английский

---

Prognostic value of glycaemic variability for mortality in critically ill atrial fibrillation patients and mortality prediction model using machine learning

Cardiovascular Diabetology, Journal Year: 2024, Volume and Issue: 23(1)

Published: Nov. 26, 2024

Abstract Background The burden of atrial fibrillation (AF) in the intensive care unit (ICU) remains heavy. Glycaemic control is important AF management. variability (GV), an emerging marker glycaemic control, associated with unfavourable prognosis, and abnormal GV prevalent ICUs. However, impact on prognosis patients ICU uncertain. This study aimed to evaluate relationship between all-cause mortality after admission at short-, medium-, long-term intervals patients. Methods Data was obtained from Medical Information Mart for Intensive Care IV 3.0 database, admissions (2008–2019) as primary analysis cohort (2020–2022) external validation cohort. Multivariate Cox proportional hazards models, restricted cubic spline analyses were used assess associations outcomes. Subsequently, other clinical features construct machine learning (ML) prediction models 30-day admission. Results included 8989 (age 76.5 [67.7–84.3] years; 57.8% male), while 837 72.9 [65.3–80.2] 67.4% male). revealed that higher quartiles risk (Q3: HR 1.19, 95%CI 1.04–1.37; Q4: 1.33, 1.16–1.52), 90-day 1.25, 1.11–1.40; 1.34, 1.29–1.50), 360-day 1.21, 1.09–1.33; 1.20–1.47) mortality, compared lowest quartile. Moreover, our data suggests needs be contained within 20.0%. Among all ML light gradient boosting had best performance (internal validation: AUC [0.780], G-mean [0.551], F1-score [0.533]; [0.788], [0.578], [0.568]). Conclusion a significant predictor short-term, mid-term, (the potential stratification threshold 20.0%). incorporating demonstrated high efficiency predicting short-term ranked anterior importance. These findings underscore valuable biomarker guiding decisions improving patient outcomes this high-risk population.

Language: Английский

---

Back Propagation Artificial Neural Network Enhanced Accuracy of Multi-Mode Sensors

Biosensors, Journal Year: 2025, Volume and Issue: 15(3), P. 148 - 148

Published: Feb. 26, 2025

The detection of small molecules is critical in many fields, but traditional electrochemical methods often exhibit limited accuracy. construction multi-mode sensors a common strategy to improve However, most existing rely on the separate analysis each mode signal, which can easily lead sensor failure when deviation between different results too large. In this study, we propose based Prussian Blue (PB) for ascorbic acid (AA) detection. We innovatively integrate back-propagation artificial neural networks (BP ANNs) comprehensively process three collected signal data sets, successfully solves problem caused by large results, and greatly improves prediction accuracy, range, anti-interference sensor. Our findings provide an effective solution optimizing multi-modal sensors, show broad application prospects bioanalysis, clinical diagnosis, related fields.

Language: Английский

---

Exploring usability metrics in continuous glucose monitoring systems: insights from the voice of people with diabetes in Italy

Frontiers in Clinical Diabetes and Healthcare, Journal Year: 2025, Volume and Issue: 6

Published: March 13, 2025

Introduction Continuous Glucose Monitoring (CGM) systems are crucial in diabetes management, offering clinical and psychological benefits despite operational challenges. Usability assessment of real-time intermittently-scanned CGM is a notable research gap. This study, collaboration with patient associations, explores usability from the perspective Italian individuals diabetes. Methods A roundtable discussion association representatives was conducted to discuss usability, followed by detailed online survey 281 patients on usage, satisfaction, feature preferences. Results Findings show significant positive impact Quality Life (87/100) moderate (66/100). Core functions widely used, while data sharing healthcare professionals underutilized. The study offers diverse insights into both data. Conclusions underscores importance management highlights need for continuous technological improvements. It emphasizes role associations enhancing communication manufacturers education. Effective between vital optimal use, advocating personalized care strategies tailored individual needs.

Language: Английский

---

Continuous and Intermittent Glucose Monitoring in 2024

Diabetes Technology & Therapeutics, Journal Year: 2025, Volume and Issue: 27(S1), P. S14 - S30

Published: March 1, 2025

Language: Английский

---

Use of Glucose Monitoring Devices Among Adults with Diabetes in Germany: Results from Nationwide Surveys Conducted in 2017 and 2021/2022

Diabetes Technology & Therapeutics, Journal Year: 2025, Volume and Issue: unknown

Published: March 18, 2025

Background: Devices for continuous glucose monitoring (CGM) have been developed to optimize blood control and liberate people with diabetes from finger-prick measurements. Since 2016, the devices reimbursed in Germany receiving insulin therapy, resulting their increased use among type 1 (T1D) 2 (T2D). We investigated prevalence of CGM its associated factors German adults 2017 2021/2022. Methods: Participants aged 18 years or older diagnosed were identified two nationwide population-based telephone surveys (n = 1396) 2021/2022 1456). Prevalence dynamics examined overall stratified by sociodemographic diabetes-related characteristics. Factors obtained logistic regression models. Results: The was 8.2% 16.6% An increase observed across all subgroups except those without antidiabetic medications. 31.1% 75.4% T1D, 6.3% 13.6% T2D, 14.6% 36.7% users. In both surveys, younger age, use, reporting hypoglycemia use. addition, 2017, higher education level absence obesity whereas 2021/2022, participation self-management program self-assessed quality care Conclusion: Among Germany, about twofold within 5 years, irrespective factors. Educational inequality diminished over time. self-rated recent provides further evidence support Germany.

Language: Английский

---

Pourquoi la variabilité glycémique est-elle si importante dans le risque d’hypoglycémie iatrogène : de la théorie à la pratique

Médecine des Maladies Métaboliques, Journal Year: 2025, Volume and Issue: unknown

Published: March 1, 2025

---

Evaluating cloudcare, a population health management system, in persons with type 1 diabetes: an observational study

BMC Endocrine Disorders, Journal Year: 2025, Volume and Issue: 25(1)

Published: March 31, 2025

Abstract Background Innovations in diabetes technology have consistently improved outcomes of persons with type1 (PWDs). However, the volumes data that these technologies yield require different workflows to alleviate healthcare professionals’ (HCPs) workload and prevent losing relevant between visits for interpretation treatment adaptations. CloudCare is a population health management tool continuously oversees from groups individual PWDs, based on remote monitoring, screening triaging PWDs. This study assesses effect satisfaction HCPs’ glycemic control Methods We evaluated 6-month follow-up as part an ongoing prospective cohort analyzing CloudCare. Adult PWDs diagnosed > 6 months before inclusion were enrolled. The primary outcome was change PWD (DTSQc). Secondary included number type contacts HCPs diabetes-related distress (PAID-5), control. Results In September 2024, 175 participants had baseline available, median age 29.9 years duration 17 years. Differences could be calculated 119 participants. After follow-up, increase PWDs’ (DTSQc) + 6.0 (IQR 2–11; p < 0.001). face-to-face per 3 decreased 0.85 at 0.34 ( 0.001) months. Diabetes-related significantly = 0.034), compared baseline. Glucometrics did not change, TIR 79% 78% after 0.39), mean glucose indicator (GMI) 50 mmol/mol (6.7%) all timepoints. Conclusions adult good control, decreases HCPs, while increasing maintaining excellent during months, showing this concept can applied modern care high density availability. Trial registration Clinicaltrials.gov identifier: NCT05431140; date 21-6-2023.

Language: Английский

---