TY - JOUR
T1 - CGMap: Characterizing continuous glucose monitor data in thousands of non-diabetic individuals
T2 - Characterizing continuous glucose monitor data in thousands of non-diabetic individuals
AU - Keshet, Ayya
AU - Shilo, Smadar
AU - Godneva, Anastasia
AU - Talmor-Barkan, Yeela
AU - Aviv, Yaron
AU - Segal, Eran
AU - Rossman, Hagai
PY - 2023/5/2
Y1 - 2023/5/2
N2 - Despite its rising prevalence, diabetes diagnosis still relies on measures from blood tests. Technological advances in continuous glucose monitoring (CGM) devices introduce a potential tool to expand our understanding of glucose control and variability in people with and without diabetes. Yet CGM data have not been characterized in large-scale healthy cohorts, creating a lack of reference for CGM data research. Here we present CGMap, a characterization of CGM data collected from over 7,000 non-diabetic individuals, aged 40–70 years, between 2019 and 2022. We provide reference values of key CGM-derived clinical measures that can serve as a tool for future CGM research. We further explored the relationship between CGM-derived measures and diabetes-related clinical parameters, uncovering several significant relationships, including associations of mean blood glucose with measures from fundus imaging and sleep monitoring. These findings offer novel research directions for understanding the influence of glucose levels on various aspects of human health.
AB - Despite its rising prevalence, diabetes diagnosis still relies on measures from blood tests. Technological advances in continuous glucose monitoring (CGM) devices introduce a potential tool to expand our understanding of glucose control and variability in people with and without diabetes. Yet CGM data have not been characterized in large-scale healthy cohorts, creating a lack of reference for CGM data research. Here we present CGMap, a characterization of CGM data collected from over 7,000 non-diabetic individuals, aged 40–70 years, between 2019 and 2022. We provide reference values of key CGM-derived clinical measures that can serve as a tool for future CGM research. We further explored the relationship between CGM-derived measures and diabetes-related clinical parameters, uncovering several significant relationships, including associations of mean blood glucose with measures from fundus imaging and sleep monitoring. These findings offer novel research directions for understanding the influence of glucose levels on various aspects of human health.
UR - http://www.scopus.com/inward/record.url?scp=85153605464&partnerID=8YFLogxK
U2 - 10.1016/j.cmet.2023.04.002
DO - 10.1016/j.cmet.2023.04.002
M3 - Article
C2 - 37080199
SN - 1550-4131
VL - 35
SP - 758-769.e3
JO - Cell Metabolism
JF - Cell Metabolism
IS - 5
ER -