98%
921
2 minutes
20
Background: The glycemia risk index (GRI) is a composite metric developed and used to estimate quality of glycemia in adults with diabetes who use continuous glucose monitor (CGM) devices. In a cohort of youth with type 1 diabetes (T1D), we examined the utility of the GRI for evaluating quality of glycemia between clinic visits by analyzing correlations between the GRI and longitudinal glycated hemoglobin A1c (HbA1c) measures.
Method: Using electronic health records and CGM data, we conducted a retrospective cohort study to analyze the relationship between the GRI and longitudinal HbA1c measures in youth (T1D duration ≥1 year; ≥50% CGM wear time) receiving care from a Midwest pediatric diabetes clinic network (March 2016 to May 2022). Furthermore, we analyzed correlations between HbA1c and the GRI high and low components, which reflect time spent with high/very high and low/very low glucose, respectively.
Results: In this cohort of 719 youth (aged = 2.5-18.0 years [median = 13.4; interquartile range [IQR] = 5.2]; 50.5% male; 83.7% non-Hispanic White; 68.0% commercial insurance), baseline GRI scores positively correlated with HbA1c measures at baseline and 3, 6, 9, and 12 months later (r = 0.68, 0.65, 0.60, 0.57, and 0.52, respectively). At all time points, strong positive correlations existed between HbA1c and time spent in hyperglycemia. Substantially weaker, negative correlations existed between HbA1c and time spent in hypoglycemia.
Conclusions: In youth with T1D, the GRI may be useful for evaluating quality of glycemia between scheduled clinic visits. Additional CGM-derived metrics are needed to quantify risk for hypoglycemia in this population.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11307230 | PMC |
http://dx.doi.org/10.1177/19322968241247219 | DOI Listing |
Ann Afr Med
August 2025
Dr. D. Y. Patil Medical College, Hospital and Research Centre, Pune, Maharashtra, India.
Introduction: Diabetes mellitus (DM) is a chronic metabolic disorder associated with numerous complications affecting multiple organ systems. Among these, gastrointestinal (GI) symptoms are commonly observed but often underdiagnosed and undertreated. Understanding the prevalence and patterns of these symptoms in diabetic individuals is crucial for optimizing clinical management.
View Article and Find Full Text PDFJ Clin Endocrinol Metab
August 2025
AdventHealth Translational Research Institute, Orlando, FL, USA.
Background: Medical nutrition therapy is fundamental for managing glycemia and weight in type 1 diabetes, yet dietary guidance specific to this population and relevant subgroups is lacking.
Purpose: We synthesized the interventional literature investigating diet patterns for glycemic and weight management in youth and adults with type 1 diabetes, with attention to interindividual variation that suggests the need for precision approaches. The protocol was prospectively registered (CRD42024519941).
JMIR Diabetes
August 2025
Diabetes Centre, Royal Prince Alfred Hospital, Level 6 West, 50 Missenden Road, Sydney, NSW, 2050, Australia, 61 295155888, 61 295155820.
Background: The utility of a nurse-led telemonitoring approach (NLTA) is yet to be firmly established in diabetes management.
Objective: This study aims to examine the effect of a 12-month proactive NLTA on metabolic and psychological health indices in individuals with diabetes during the COVID-19 pandemic, and to evaluate it as a new diabetes model of care.
Methods: The telemonitoring study group (TSG; n=91) comprised adults who had attended an Australian tertiary hospital diabetes center between January 2019 and March 2020.
Comput Methods Programs Biomed
November 2025
Institute of Robotics and Cybernetics, Faculty of Electrical Engineering and Information Technology Slovak University of Technology in Bratislava, Ilkovičova 3, Bratislava, 841 04, Slovakia.
Background And Objective: This study introduces a novel mathematical framework for optimizing the rejection of impulsive disturbances by adjusting the parameters of compensating impulses. This is motivated by the need of optimizing the glycemia response in diabetic patients under insulin bolus treatment. The methodology aims to ensure general applicability by formulating the optimization problem using a continuous-time linear state-space model.
View Article and Find Full Text PDFJ Diabetes Complications
October 2025
Department of Endocrinology and Metabolism, Zhuhai People's Hospital (The Affiliated Hospital of Beijing Institute of Technology, Zhuhai Clinical Medical College of Jinan University), Zhuhai, Guangdong 519000, China. Electronic address:
Aims: Effective glycemic control is essential for preventing complications and improving quality of life in patients with type 2 diabetes mellitus (T2DM). Identifying reliable glycemic indicators for the assessment of islet function and renal complications remains a major challenge in diabetology. Time in Range (TIR) and Glycemia Risk Index (GRI), two continuous glucose monitoring (CGM)-based metrics, have recently emerged as potential tools for assessing glycemic control beyond HbA1c.
View Article and Find Full Text PDF