Article
Biology
Benjamin J. Lobo, Boris P. Kovatchev
Summary: As the amount of CGM data increases, the need for simplified storage and analysis methods becomes crucial. Lobo et al. developed a classifier that can successfully classify CGM data and validated its performance on an external validation set. The classifier has proven to be robust and generalizable across different datasets.
COMPUTERS IN BIOLOGY AND MEDICINE
(2022)
Article
Endocrinology & Metabolism
Kyuho Kim, Sung Hee Choi, Hak Chul Jang, Young Suk Park, Tae Jung Oh
Summary: This study used isCGM to assess changes in blood glucose levels after metabolic surgery, and found that mean glucose and glycemic variability improved while the occurrence of hypoglycemia increased. However, there was no significant change in time in range (TIR), except for individuals with HbA1c >= 8.0%.
DIABETES & METABOLISM JOURNAL
(2022)
Article
Endocrinology & Metabolism
Yuri D. Foreman, William P. T. M. van Doorn, Nicolaas C. Schaper, Marleen M. J. van Greevenbroek, Carla J. H. van der Kallen, Ronald M. A. Henry, Annemarie Koster, Simone J. P. M. Eussen, Anke Wesselius, Koen D. Reesink, Miranda T. Schram, Pieter C. Dagnelie, Abraham A. Kroon, Martijn C. G. J. Brouwers, Coen D. A. Stehouwer
Summary: This study found that greater daily glucose variability and lower time in range were associated with greater aortic stiffness, but not with other arterial measures. If confirmed in prospective studies, these results suggest the potential development of treatments targeting both glucose variability and time in range to prevent cardiovascular disease.
Article
Endocrinology & Metabolism
Boris Kovatchev, Benjamin Lobo
Summary: This study presents a method for classifying continuous glucose monitoring (CGM) data into 32 predetermined clusters. These clusters can assist in interpreting CGM data and facilitate various applications such as disease treatment, data analysis, and pattern recognition.
DIABETES TECHNOLOGY & THERAPEUTICS
(2023)
Article
Endocrinology & Metabolism
Linda Tartaglione, Enrico di Stasio, Angelo Sirico, Mauro Di Leo, Salvatore Caputo, Alessandro Rizzi, Agnese Caneschi, Sara De Carolis, Dario Pitocco, Antonio Lanzone
Summary: Continuous glucose monitoring (CGM) was used to analyze glycemic patterns in normal and gestational diabetes mellitus (GDM) women, identifying potential differences and glycemic alterations despite a normal oral glucose tolerance test (OGTT). The study found that some women with normal OGTT showed abnormal glycemic values during CGM monitoring.
JOURNAL OF DIABETES RESEARCH
(2021)
Article
Endocrinology & Metabolism
Hamza Alshannaq, Greg Cogswell, Richard F. Pollock, Waqas Ahmed, Greg J. Norman, Peter M. Lynch, Stephane Roze
Summary: This study compares the cost-effectiveness of the Dexcom G6 real-time continuous glucose monitoring system with self-monitoring of blood glucose and the Abbott FreeStyle Libre 1 and 2 intermittently scanned CGM devices in people with type 1 diabetes receiving multiple daily insulin injections in Denmark. The results showed that compared to self-monitoring of blood glucose, the use of real-time continuous glucose monitoring system led to an incremental gain of 1.37 quality-adjusted life years (QALYs), while compared to intermittently scanned CGM, it led to a gain of 0.87 QALYs. Therefore, the real-time continuous glucose monitoring system is highly cost-effective in Denmark.
DIABETES OBESITY & METABOLISM
(2023)
Article
Food Science & Technology
Yutaka Inoue, Lianne Cormanes, Kana Yoshimura, Aiko Sano, Yumiko Hori, Ryuichiro Suzuki, Ikuo Kanamoto
Summary: This study investigated the impact of consuming apples on postprandial blood glucose and insulin levels in individuals with normal versus impaired glucose tolerance. The findings suggest that consuming an apple before a meal can help regulate blood glucose and insulin levels in both normal individuals and those with impaired glucose tolerance.
Article
Endocrinology & Metabolism
Caroline T. B. Juel, Thomas F. Dejgaard, Carsten P. Hansen, Jan H. Storkholm, Tina Vilsboll, Asger Lund, Filip K. Knop
Summary: The study evaluated glycemic variability in totally pancreatectomized patients and compared it with HbA(1c)-matched patients with long-standing type 1 diabetes. Results showed higher CONGA(60 min) and time spent above range in PX patients compared to T1D patients.
JOURNAL OF CLINICAL ENDOCRINOLOGY & METABOLISM
(2021)
Article
Cardiac & Cardiovascular Systems
Satomi Wakasugi, Tomoya Mita, Naoto Katakami, Yosuke Okada, Hidenori Yoshii, Takeshi Osonoi, Nobuichi Kuribayashi, Yoshinobu Taneda, Yuichi Kojima, Masahiko Gosho, Iichiro Shimomura, Hirotaka Watada
Summary: This study found that some CGM-derived metrics are significantly associated with arterial stiffness in patients with type 2 diabetes, potentially useful for identifying high-risk patients.
CARDIOVASCULAR DIABETOLOGY
(2021)
Article
Endocrinology & Metabolism
Christine L. Chan, Laura Pyle, Tim Vigers, Philip S. Zeitler, Kristen J. Nadeau
Summary: This study found that greater glycemic variability on CGM was associated with reduced beta-cell function, but CGM performed poorly in discriminating individuals with and without OGTT-defined CFRD and prediabetes. Prospective studies are needed to determine how well the different tests predict clinically relevant nonglycemic outcomes in PwCF.
JOURNAL OF CLINICAL ENDOCRINOLOGY & METABOLISM
(2022)
Article
Medical Laboratory Technology
Guido Freckmann, James H. Nichols, Rolf Hinzmann, David C. Klonoff, Yi Ju, Peter Diem, Konstantinos Makris, Robbert J. Slingerland
Summary: People with diabetes need to monitor their glucose levels regularly, and traditional self-monitoring systems are being replaced by minimally invasive continuous glucose monitoring systems. However, these CGM systems face challenges with accuracy and lack of international reference measurement procedures.
CLINICA CHIMICA ACTA
(2021)
Article
Endocrinology & Metabolism
Monica N. Naguib, Elizabeth Hegedus, Jennifer K. Raymond, Michael I. Goran, Sarah-Jeanne Salvy, Choo Phei Wee, Ramon Durazo-Arvizu, Lilith Moss, Alaina P. Vidmar
Summary: This study aimed to assess the feasibility of using continuous glucose monitors (CGM) in time restricted eating (TRE) interventions in adolescents and to examine the changes in glycemic profiles. The results showed that CGM use was feasible in adolescents with obesity and did not significantly affect glycemic profiles in this study.
FRONTIERS IN ENDOCRINOLOGY
(2022)
Article
Endocrinology & Metabolism
Othmar Moser, Christoph Sternad, Max L. Eckstein, Agnieszka Szadkowska, Arkadiusz Michalak, Julia K. Mader, Haris Ziko, Hesham Elsayed, Felix Aberer, Agnes Sola-Gazagnes, Etienne Larger, Gian Poalo Fadini, Benedetta Maria Bonora, Daniela Bruttomesso, Federico Boscari, Guido Freckmann, Stefan Pleus, Sverre C. Christiansen, Harald Sourij
Summary: The pooled analysis showed that isCGM performed well in children, adolescents, and adults with type 1 diabetes, exhibiting higher accuracy compared to reference blood glucose measurements. However, the rate of change in glucose levels, both increasing and decreasing, decreased the performance of isCGM.
DIABETES OBESITY & METABOLISM
(2022)
Article
Endocrinology & Metabolism
Yan Zhao, Yuchan Zheng, Yixin Tian, Qian Yu, Lijun Qin, Kai Xu, Biao Sun, Christian Benedict, Baoyi Chen, Lijun Wei, Xiao Tan
Summary: The aim of this study was to investigate the association between objective sleep parameters and glycaemic variability in patients with type 2 diabetes. The results showed that sleep duration, sleep midpoint, and their daily variability were associated with glucose control in these patients.
DIABETES OBESITY & METABOLISM
(2023)
Article
Nutrition & Dietetics
Souptik Barua, Raven A. Wierzchowska-McNew, Nicolaas E. P. Deutz, Ashutosh Sabharwal
Summary: This study found discordance between plasma glucose measurements made using continuous glucose monitoring (CGM) and fingerstick meter after meals. CGM underestimated the rise in glucose levels and time spent in the normal range, while the fingerstick meter was more accurate. These discordances may have implications for applications such as precision nutrition and early detection of diabetes.
AMERICAN JOURNAL OF CLINICAL NUTRITION
(2022)