Importance: Continuous glucose monitoring (CGM) is recommended for patients with type 1 diabetes; observational evidence for CGM in patients with insulin-treated type 2 diabetes is lacking.
Objective: To estimate clinical outcomes of real-time CGM initiation.
Design, Setting, And Participants: Exploratory retrospective cohort study of changes in outcomes associated with real-time CGM initiation, estimated using a difference-in-differences analysis. A total of 41 753 participants with insulin-treated diabetes (5673 type 1; 36 080 type 2) receiving care from a Northern California integrated health care delivery system (2014-2019), being treated with insulin, self-monitoring their blood glucose levels, and having no prior CGM use were included.
Exposures: Initiation vs noninitiation of real-time CGM (reference group).
Main Outcomes And Measures: Ten end points measured during the 12 months before and 12 months after baseline: hemoglobin A1c (HbA1c); hypoglycemia (emergency department or hospital utilization); hyperglycemia (emergency department or hospital utilization); HbA1c levels lower than 7%, lower than 8%, and higher than 9%; 1 emergency department encounter or more for any reason; 1 hospitalization or more for any reason; and number of outpatient visits and telephone visits.
Results: The real-time CGM initiators included 3806 patients (mean age, 42.4 years [SD, 19.9 years]; 51% female; 91% type 1, 9% type 2); the noninitiators included 37 947 patients (mean age, 63.4 years [SD, 13.4 years]; 49% female; 6% type 1, 94% type 2). The prebaseline mean HbA1c was lower among real-time CGM initiators than among noninitiators, but real-time CGM initiators had higher prebaseline rates of hypoglycemia and hyperglycemia. Mean HbA1c declined among real-time CGM initiators from 8.17% to 7.76% and from 8.28% to 8.19% among noninitiators (adjusted difference-in-differences estimate, -0.40%; 95% CI, -0.48% to -0.32%; P < .001). Hypoglycemia rates declined among real-time CGM initiators from 5.1% to 3.0% and increased among noninitiators from 1.9% to 2.3% (difference-in-differences estimate, -2.7%; 95% CI, -4.4% to -1.1%; P = .001). There were also statistically significant differences in the adjusted net changes in the proportion of patients with HbA1c lower than 7% (adjusted difference-in-differences estimate, 9.6%; 95% CI, 7.1% to 12.2%; P < .001), lower than 8% (adjusted difference-in-differences estimate, 13.1%; 95% CI, 10.2% to 16.1%; P < .001), and higher than 9% (adjusted difference-in-differences estimate, -7.1%; 95% CI, -9.5% to -4.6%; P < .001) and in the number of outpatient visits (adjusted difference-in-differences estimate, -0.4; 95% CI, -0.6 to -0.2; P < .001) and telephone visits (adjusted difference-in-differences estimate, 1.1; 95% CI, 0.8 to 1.4; P < .001). Initiation of real-time CGM was not associated with statistically significant changes in rates of hyperglycemia, emergency department visits for any reason, or hospitalizations for any reason.
Conclusions And Relevance: In this retrospective cohort study, insulin-treated patients with diabetes selected by physicians for real-time continuous glucose monitoring compared with noninitiators had significant improvements in hemoglobin A1c and reductions in emergency department visits and hospitalizations for hypoglycemia, but no significant change in emergency department visits or hospitalizations for hyperglycemia or for any reason. Because of the observational study design, findings may have been susceptible to selection bias.
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http://dx.doi.org/10.1001/jama.2021.6530 | DOI Listing |
J Clin Endocrinol Metab
March 2025
Department of Metabolic Medicine, Faculty of Life Sciences, Kumamoto University. 1-1-1 Honjo, Chuo-ku, Kumamoto 860-8556, Japan.
Context: In 2023, we employed Dexcom G6 for real-time continuous glucose monitoring (rt-CGM); it showed high usefulness but unsatisfactory accuracy in type 1 diabetes summer camp (camp) participants.
Objective: To assess the usefulness, recommendation and accuracy of a new rt-CGM system in camp, 2024.
Methods: Sensor glucose (SG) concentrations were measured by Dexcom G7 (G7) from 6 days prior to camp.
Diabetes Technol Ther
March 2025
Department of Hygiene and Epidemiology, University of Ioannina School of Medicine, Ioannina, Greece.
Continuous glucose monitoring (real-time CGM [RT-CGM] and retrospective [professional] CGM [non-RT-CGM]) is an emerging tool to assess glucose levels and variability. We performed a meta-analysis of randomized controlled trials (RCTs) to assess the effect of RT/non-RT-CGM on type 1 (T1D), type 2 (T2D), and diabetes in pregnancy (DiP) compared with self-monitoring of blood glucose (BGM). We searched PubMed/EMBASE/Cochrane Central Register of Controlled Trials until October 2024.
View Article and Find Full Text PDFBiosens Bioelectron
June 2025
Key Laboratory of Pathobiology, Ministry of Education, And Department of Biomedical Science, College of Basic Medical Sciences, Jilin University, Changchun, 130021, China. Electronic address:
Continuous Glucose Monitoring (CGM) device was a kind of based on flexible electrode interstitial fluid (ISF) implantation that used electrochemical methods to track blood glucose fluctuations, which made continuous real-time glucose monitoring and personalized blood glucose management increasingly possible. However, when the electrode of CGM in the body fluid environment for a long time, the occurrence of bio-fouling will lead to CGM signal deviation, service life reduction, accuracy decline and other problems. Therefore, in this paper, we constructed a new strategy that provided a well-defined, anti-biofilm coating based and integrated smartphone-controlled wearable microneedle system CGM (acCGM) that can significantly improve accuracy during use and potentially extend service life.
View Article and Find Full Text PDFDiabetes Metab J
February 2025
Division of Endocrinology and Metabolism, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
Background: This study compares the association between real-time continuous glucose monitoring (rtCGM) and intermittently- scanned CGM (isCGM) and glycemic control in individuals with type 1 diabetes mellitus (T1DM) in a real-world setting.
Methods: Using data from the Korean National Health Insurance Service Cohort, individuals with T1DM managed by intensive insulin therapy were followed at 3-month intervals for 2 years after the initiation of CGM. The glycosylated hemoglobin (HbA1c) levels and coefficients of variation (CVs) of rtCGM and isCGM users were compared using independent two-sample t-test and a linear mixed model.
Int J Mol Sci
February 2025
Laboratory of Neurobiology, Department of Neurology, Poznan University of Medical Sciences, 49 Przybyszewskiego St., 60-355 Poznan, Poland.
Aging and age-related neurodegenerative disorders are characterized by the dysfunction or loss of brain nicotinic acetylcholine receptors (nAChRs), and these changes may be related to other senescence markers, such as oxidative stress and DNA repair dysfunction. However, the mechanism of nAChR loss in the aging brain and the modification of this process by drugs (e.g.
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