ORCID Profile
0000-0002-0306-1904
Current Organisations
National Institutes of Health
,
Vanderbilt University Medical Center
,
National Institute of Diabetes and Digestive and Kidney Diseases Diabetes Endocrinology and Obesity Branch
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Publications
Erratum: Calorie for calorie, dietary fat restriction results in more body fat loss than carbohydrate restriction in people with obesity (Cell Metabolism (2015) 22 (427-436))
Publisher: Elsevier BV
Date: 09-2015
Calorie for calorie, dietary fat restriction results in more body fat loss than carbohydrate restriction in people with obesity
Publisher: Elsevier BV
Date: 09-2015
A Glycemia Risk Index (GRI) of Hypoglycemia and Hyperglycemia for Continuous Glucose Monitoring Validated by Clinician Ratings
Publisher: SAGE Publications
Date: 29-03-2022
DOI: 10.1177/19322968221085273
Abstract: A composite metric for the quality of glycemia from continuous glucose monitor (CGM) tracings could be useful for assisting with basic clinical interpretation of CGM data. We assembled a data set of 14-day CGM tracings from 225 insulin-treated adults with diabetes. Using a balanced incomplete block design, 330 clinicians who were highly experienced with CGM analysis and interpretation ranked the CGM tracings from best to worst quality of glycemia. We used principal component analysis and multiple regressions to develop a model to predict the clinician ranking based on seven standard metrics in an Ambulatory Glucose Profile: very low–glucose and low-glucose hypoglycemia very high–glucose and high-glucose hyperglycemia time in range mean glucose and coefficient of variation. The analysis showed that clinician rankings depend on two components, one related to hypoglycemia that gives more weight to very low-glucose than to low-glucose and the other related to hyperglycemia that likewise gives greater weight to very high-glucose than to high-glucose. These two components should be calculated and displayed separately, but they can also be combined into a single Glycemia Risk Index (GRI) that corresponds closely to the clinician rankings of the overall quality of glycemia (r = 0.95). The GRI can be displayed graphically on a GRI Grid with the hypoglycemia component on the horizontal axis and the hyperglycemia component on the vertical axis. Diagonal lines ide the graph into five zones (quintiles) corresponding to the best (0th to 20th percentile) to worst (81st to 100th percentile) overall quality of glycemia. The GRI Grid enables users to track sequential changes within an in idual over time and compare groups of in iduals. The GRI is a single-number summary of the quality of glycemia. Its hypoglycemia and hyperglycemia components provide actionable scores and a graphical display (the GRI Grid) that can be used by clinicians and researchers to determine the glycemic effects of prescribed and investigational treatments.
Effect of a plant-based, low-fat diet versus an animal-based, ketogenic diet on ad libitum energy intake
Publisher: Springer Science and Business Media LLC
Date: 21-01-2021
Comparing ActiGraph equations for estimating energy expenditure in older adults
Publisher: Informa UK Limited
Date: 18-06-2019
Related Organisations
Vanderbilt University Medical Center
Location: United States of America
Vanderbilt University School Of Medicine
Location: United States of America
National Institute Of Diabetes And Digestive And Kidney Diseases Diabetes Endocrinology And Obesity Branch
Location: United States of America
Tennessee Technological University
Location: United States of America
Related Funding Activities
No related grants have been discovered for Kong Chen.