Literature DB >> 31393176

Rationale and Design for a GRADE Substudy of Continuous Glucose Monitoring.

Mary E Larkin1, David M Nathan1, Ionut Bebu2, Heidi Krause-Steinrauf2, William H Herman3, John M Higgins4,5, Margaret Tiktin6, Robert M Cohen7, Claire Lund2, Richard M Bergenstal8, Mary L Johnson8, Valerie Arends9.   

Abstract

Background: The Glycemia Reduction Approaches in Diabetes: A Comparative Effectiveness (GRADE) study has enrolled a racially and ethnically diverse population with type 2 diabetes, performed extensive phenotyping, and randomly assigned the participants to one of four second-line diabetes medications. The continuous glucose monitoring (CGM) substudy has been added to determine whether there are racial/ethnic differences in the relationship between average glucose (AG) and hemoglobin A1c (HbA1c). CGM will also be used to compare time in target range, glucose variability, and the frequency and duration of hypoglycemia across study groups.
Methods: The observational CGM substudy will enroll up to 1800 of the 5047 GRADE study participants from the four treatment groups, including as many as 450 participants from each of 4 racial/ethnic minority groups to be compared: Hispanic White, non-Hispanic White, non-Hispanic African American, and non-Hispanic Other. CGM will be performed for 2 weeks in proximity to a GRADE annual visit, during which an oral glucose tolerance test will be performed and HbA1c and glycated albumin measured. Indicators of interindividual variation in red blood cell turnover, based on specialized erythrocyte measurements, will also be measured to explore the potential causes of interindividual HbA1c variations. Conclusions: The GRADE CGM substudy will provide new insights into whether differences exist in the relationship between HbA1c and AG among different racial/ethnic groups and whether glycemic profiles differ among frequently used diabetes medications and their potential clinical implications. Understanding such differences is important for clinical care and adjustment of diabetes medications in patients of different races or ethnicities.

Entities:  

Keywords:  Average glucose; Continuous glucose monitoring; Glycated hemoglobin; Interracial differences; Type 2 diabetes

Mesh:

Substances:

Year:  2019        PMID: 31393176      PMCID: PMC7207016          DOI: 10.1089/dia.2019.0202

Source DB:  PubMed          Journal:  Diabetes Technol Ther        ISSN: 1520-9156            Impact factor:   6.118


  40 in total

1.  Variability in the relationship between mean plasma glucose and HbA1c: implications for the assessment of glycemic control.

Authors:  Eric S Kilpatrick; Alan S Rigby; Stephen L Atkin
Journal:  Clin Chem       Date:  2007-03-23       Impact factor: 8.327

2.  The hemoglobin glycation index is not an independent predictor of the risk of microvascular complications in the Diabetes Control and Complications Trial.

Authors:  John M Lachin; Saul Genuth; David M Nathan; Brandy N Rutledge
Journal:  Diabetes       Date:  2007-03-14       Impact factor: 9.461

3.  A method for the continuous calculation of the age of labeled red blood cells.

Authors:  Christopher J Lindsell; Robert S Franco; Eric P Smith; Clinton H Joiner; Robert M Cohen
Journal:  Am J Hematol       Date:  2008-06       Impact factor: 10.047

4.  A comparison of the Glycosylation Gap and Hemoglobin Glycation Index in patients with diabetes.

Authors:  Stuart A Chalew; Robert J McCarter; Jacinta Thomas; Jessica L Thomson; James M Hempe
Journal:  J Diabetes Complications       Date:  2005 Jul-Aug       Impact factor: 2.852

5.  Physiological and pathological population dynamics of circulating human red blood cells.

Authors:  John M Higgins; L Mahadevan
Journal:  Proc Natl Acad Sci U S A       Date:  2010-11-08       Impact factor: 11.205

Review 6.  Disparities in HbA1c levels between African-American and non-Hispanic white adults with diabetes: a meta-analysis.

Authors:  Julienne K Kirk; Ralph B D'Agostino; Ronny A Bell; Leah V Passmore; Denise E Bonds; Andrew J Karter; K M Venkat Narayan
Journal:  Diabetes Care       Date:  2006-09       Impact factor: 19.112

7.  Red cell life span heterogeneity in hematologically normal people is sufficient to alter HbA1c.

Authors:  Robert M Cohen; Robert S Franco; Paramjit K Khera; Eric P Smith; Christopher J Lindsell; Peter J Ciraolo; Mary B Palascak; Clinton H Joiner
Journal:  Blood       Date:  2008-08-11       Impact factor: 22.113

8.  Glucosylation of human haemoglobin a in red blood cells studied in vitro. Kinetics of the formation and dissociation of haemoglobin A1c.

Authors:  H B Mortensen; C Christophersen
Journal:  Clin Chim Acta       Date:  1983-11-15       Impact factor: 3.786

9.  Differences in A1C by race and ethnicity among patients with impaired glucose tolerance in the Diabetes Prevention Program.

Authors:  William H Herman; Yong Ma; Gabriel Uwaifo; Steven Haffner; Steven E Kahn; Edward S Horton; John M Lachin; Maria G Montez; Tina Brenneman; Elizabeth Barrett-Connor
Journal:  Diabetes Care       Date:  2007-05-29       Impact factor: 19.112

10.  National trends in US hospital admissions for hyperglycemia and hypoglycemia among Medicare beneficiaries, 1999 to 2011.

Authors:  Kasia J Lipska; Joseph S Ross; Yun Wang; Silvio E Inzucchi; Karl Minges; Andrew J Karter; Elbert S Huang; Mayur M Desai; Thomas M Gill; Harlan M Krumholz
Journal:  JAMA Intern Med       Date:  2014-07       Impact factor: 21.873

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  1 in total

1.  Association of Baseline Characteristics With Insulin Sensitivity and β-Cell Function in the Glycemia Reduction Approaches in Diabetes: A Comparative Effectiveness (GRADE) Study Cohort.

Authors:  Neda Rasouli; Naji Younes; Kristina M Utzschneider; Silvio E Inzucchi; Ashok Balasubramanyam; Andrea L Cherrington; Faramarz Ismail-Beigi; Robert M Cohen; Darin E Olson; Ralph A DeFronzo; William H Herman; John M Lachin; Steven E Kahn
Journal:  Diabetes Care       Date:  2020-12-17       Impact factor: 17.152

  1 in total

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