Heterogeneity of continuous glucose monitoring features and their clinical associations in a type 2 diabetes population DOI Creative Commons
Elizabeth A. Healey,

Carlos Morato,

Jaime Murillo

et al.

Diabetes Obesity and Metabolism, Journal Year: 2025, Volume and Issue: unknown

Published: May 19, 2025

Abstract Objective Data from continuous glucose monitors (CGM) enable the extraction of features descriptive glycemic dynamics that may provide insight into underlying health status. In this work, we analyse CGM data a large population individuals with type 2 diabetes (T2D) and study association clinical covariates. Methods We retrospectively analysed electronic record T2D. extracted 25 daily for each individual over 30‐day period performed statistical tests on findings medical claims laboratory records. Results Our final analysis was 6533 individuals. When clustering across T2D, four distinct clusters emerged. Further, had heterogeneous discriminatory power covariates, including values presence diabetic complications. Features related to variability, such as coefficient variation, showed markedly lower p ‐values in many complications than mean glucose. Conclusions examining characteristics different found were heterogeneously associated comorbidities diabetes. This work motivates further research investigate relationship between outcomes T2D precision medicine.

Language: Английский

Comprehensive Assessment of Neuropathy and Metabolic Parameters in Type 1 Diabetic Patients with or Without Using Continuous Glucose Sensors DOI Open Access

Barbara Bordács,

Á. Várkonyi,

Zsuzsanna Valkusz

et al.

International Journal of Molecular Sciences, Journal Year: 2025, Volume and Issue: 26(5), P. 2062 - 2062

Published: Feb. 26, 2025

The present study was conducted in type 1 diabetic (T1DM) patients to evaluate the metabolic and glycemic control as well manifestations of neuropathy. impact continuous glucose monitoring (CGM) on measured parameters also analyzed. A total 61 T1DM (age: 42.5 ± 1.8 years, DM duration: 22.8 1.6 mean SE) participated study. In total, 24 had CGM sensors 37 did not. Cardiovascular autonomic neuropathy assessed using cardiovascular reflex tests. Peripheral sensory function evaluated by a Neurometer calibrated tuning fork upper lower limbs. Metabolic status characterized determination triglycerides, high-density lipoprotein (HDL), low-density (LDL), cholesterol, glycated haemoglobin (HbA1c). positive correlation found between HbA1c triglyceride levels (r = 0.28, p < 0.05). users non-users differed (0.9 0.1 vs. 1.24 0.12 mmol/L, 0.05), HDL cholesterol (1.7 1.4 0.05 mmol/L), (7.5 0.2 8.3 0.3%, 0.05) well. Significant differences were for Valsalva ratio, Neurometer, results non-users. This significant T1DM. use resulted improved less nerve damage. As novel finding, is presumed prevent both micro-, macrovascular complications and, this way, potentially reducing mortality rates.

Language: Английский

Citations

0
Plasma C-Peptide Level and Continuous Glucose Monitoring-Derived Coefficient of Variation as a Predictable Risk Factor for Hypoglycemia in Koreans with Diabetes DOI Creative Commons
Seung‐Hyun Ko

Endocrinology and Metabolism, Journal Year: 2025, Volume and Issue: 40(2), P. 198 - 200

Published: April 25, 2025

Language: Английский

Citations

0
Differential impact of short-term and long-term glycemic variability on peripheral nerve function in type 2 diabetes: A 5-year cohort study DOI
T. Iwamoto, Machiko Morita, Shuji Hidaka

et al.

Journal of Diabetes and its Complications, Journal Year: 2025, Volume and Issue: unknown, P. 109081 - 109081

Published: May 1, 2025

Language: Английский

Citations

0
Heterogeneity of continuous glucose monitoring features and their clinical associations in a type 2 diabetes population DOI Creative Commons
Elizabeth A. Healey,

Carlos Morato,

Jaime Murillo

et al.

Diabetes Obesity and Metabolism, Journal Year: 2025, Volume and Issue: unknown

Published: May 19, 2025

Abstract Objective Data from continuous glucose monitors (CGM) enable the extraction of features descriptive glycemic dynamics that may provide insight into underlying health status. In this work, we analyse CGM data a large population individuals with type 2 diabetes (T2D) and study association clinical covariates. Methods We retrospectively analysed electronic record T2D. extracted 25 daily for each individual over 30‐day period performed statistical tests on findings medical claims laboratory records. Results Our final analysis was 6533 individuals. When clustering across T2D, four distinct clusters emerged. Further, had heterogeneous discriminatory power covariates, including values presence diabetic complications. Features related to variability, such as coefficient variation, showed markedly lower p ‐values in many complications than mean glucose. Conclusions examining characteristics different found were heterogeneously associated comorbidities diabetes. This work motivates further research investigate relationship between outcomes T2D precision medicine.

Language: Английский

Citations

0