Literature DB >> 34635503

Usefulness of CGM-Derived Metric, the Glucose Management Indicator, to Assess Glycemic Control in Non-White Individuals With Diabetes.

Elena Toschi1,2,3, Amy Michals4, Atif Adam4, Dai'Quann Davis4, Astrid Atakov-Castillo4, Christine Slyne4, Medha Munshi4,2,3.   

Abstract

OBJECTIVE: To assess the relationship between the glucose management indicator (GMI) and HbA1c in non-White individuals with diabetes. RESEARCH DESIGN AND METHODS: We performed a retrospective analysis of continuous glucose monitoring metrics in individuals with diabetes divided by race into non-White and White cohorts.
RESULTS: We evaluated 316 individuals (non-White n = 68; White n = 248). Although GMI was not different (7.6 vs. 7.7; P = not significant) between the cohorts, HbA1c was higher in the non-White cohort (8.7% vs. 8.1%; P = 0.004). HbA1c higher than GMI by ≥0.5% was more frequently observed in the non-White cohort (90% vs. 75%; P = 0.02). In the non-White cohort only, duration of hypoglycemia was longer among those with HbA1c higher than GMI by ≥0.5% compared with those with HbA1c and GMI within 0.5%.
CONCLUSIONS: A differential relationship between HbA1c and GMI in non-White versus White individuals with diabetes was observed. In non-White individuals, a greater difference between HbA1c and GMI was associated with higher risk of hypoglycemia.
© 2021 by the American Diabetes Association.

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Year:  2021        PMID: 34635503      PMCID: PMC8669533          DOI: 10.2337/dc21-1373

Source DB:  PubMed          Journal:  Diabetes Care        ISSN: 0149-5992            Impact factor:   17.152


  12 in total

1.  Racial Differences in the Relationship of Glucose Concentrations and Hemoglobin A1c Levels.

Authors:  Richard M Bergenstal; Robin L Gal; Roy W Beck
Journal:  Ann Intern Med       Date:  2018-02-06       Impact factor: 25.391

2.  The Relationship Between CGM-Derived Metrics, A1C, and Risk of Hypoglycemia in Older Adults With Type 1 Diabetes.

Authors:  Elena Toschi; Christine Slyne; Kayla Sifre; Rachel O'Donnell; Jordan Greenberg; Astrid Atakov-Castillo; Sam Carl; Medha Munshi
Journal:  Diabetes Care       Date:  2020-05-27       Impact factor: 19.112

3.  Association of Real-time Continuous Glucose Monitoring With Glycemic Control and Acute Metabolic Events Among Patients With Insulin-Treated Diabetes.

Authors:  Andrew J Karter; Melissa M Parker; Howard H Moffet; Lisa K Gilliam; Richard Dlott
Journal:  JAMA       Date:  2021-06-08       Impact factor: 56.272

4.  The calculation of the Glucose Management Indicator (GMI) is influenced by the Continuous Glucose Monitoring system and patient race.

Authors:  Edith Angellotti; Sangeetha Muppavarapu; Richard D Siegel; Anastassios G Pittas
Journal:  Diabetes Technol Ther       Date:  2019-12-10       Impact factor: 6.118

5.  Persistence of individual variations in glycated hemoglobin: analysis of data from the Juvenile Diabetes Research Foundation Continuous Glucose Monitoring Randomized Trial.

Authors:  Darrell M Wilson; Dongyuan Xing; Jing Cheng; Roy W Beck; Irl Hirsch; Craig Kollman; Lori Laffel; Jean M Lawrence; Nelly Mauras; Katrina J Ruedy; Eva Tsalikian; Howard Wolpert
Journal:  Diabetes Care       Date:  2011-04-19       Impact factor: 19.112

6.  Evidence for consistency of the glycation gap in diabetes.

Authors:  Ananth U Nayak; Martin R Holland; David R Macdonald; Alan Nevill; Baldev M Singh
Journal:  Diabetes Care       Date:  2011-06-29       Impact factor: 19.112

7.  Translating the A1C assay into estimated average glucose values.

Authors:  David M Nathan; Judith Kuenen; Rikke Borg; Hui Zheng; David Schoenfeld; Robert J Heine
Journal:  Diabetes Care       Date:  2008-06-07       Impact factor: 19.112

8.  Glucose Management Indicator (GMI): A New Term for Estimating A1C From Continuous Glucose Monitoring.

Authors:  Richard M Bergenstal; Roy W Beck; Kelly L Close; George Grunberger; David B Sacks; Aaron Kowalski; Adam S Brown; Lutz Heinemann; Grazia Aleppo; Donna B Ryan; Tonya D Riddlesworth; William T Cefalu
Journal:  Diabetes Care       Date:  2018-09-17       Impact factor: 19.112

Review 9.  International Consensus on Use of Continuous Glucose Monitoring.

Authors:  Thomas Danne; Revital Nimri; Tadej Battelino; Richard M Bergenstal; Kelly L Close; J Hans DeVries; Satish Garg; Lutz Heinemann; Irl Hirsch; Stephanie A Amiel; Roy Beck; Emanuele Bosi; Bruce Buckingham; Claudio Cobelli; Eyal Dassau; Francis J Doyle; Simon Heller; Roman Hovorka; Weiping Jia; Tim Jones; Olga Kordonouri; Boris Kovatchev; Aaron Kowalski; Lori Laffel; David Maahs; Helen R Murphy; Kirsten Nørgaard; Christopher G Parkin; Eric Renard; Banshi Saboo; Mauro Scharf; William V Tamborlane; Stuart A Weinzimer; Moshe Phillip
Journal:  Diabetes Care       Date:  2017-12       Impact factor: 19.112

10.  Comparison of the FreeStyle Libre Pro Flash Continuous Glucose Monitoring (CGM) System and Point-of-Care Capillary Glucose Testing in Hospitalized Patients With Type 2 Diabetes Treated With Basal-Bolus Insulin Regimen.

Authors:  Rodolfo J Galindo; Alexandra L Migdal; Georgia M Davis; Maria A Urrutia; Bonnie Albury; Cesar Zambrano; Priyathama Vellanki; Francisco J Pasquel; Maya Fayfman; Limin Peng; Guillermo E Umpierrez
Journal:  Diabetes Care       Date:  2020-07-08       Impact factor: 17.152

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  1 in total

1.  Prediction of Glucose Concentration in Children with Type 1 Diabetes Using Neural Networks: An Edge Computing Application.

Authors:  Federico D'Antoni; Lorenzo Petrosino; Fabiola Sgarro; Antonio Pagano; Luca Vollero; Vincenzo Piemonte; Mario Merone
Journal:  Bioengineering (Basel)       Date:  2022-04-21
  1 in total

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