Literature DB >> 22238408

Racial and ethnic differences in the relationship between HbA1c and blood glucose: implications for the diagnosis of diabetes.

William H Herman1, Robert M Cohen.   

Abstract

Hemoglobin A1c (HbA1c) is widely used as an index of mean glycemia in diabetes, as a measure of risk for the development of diabetic complications, and as a measure of the quality of diabetes care. In 2010, the American Diabetes Association recommended that HbA1c tests, performed in a laboratory using a method certified by the National Glycohemoglobin Standardization Program, be used for the diagnosis of diabetes. Although HbA1c has a number of advantages compared to traditional glucose criteria, it has a number of disadvantages. Hemoglobinopathies, thalassemia syndromes, factors that impact red blood cell survival and red blood cell age, uremia, hyperbilirubinemia, and iron deficiency may alter HbA1c test results as a measure of average glycemia. Recently, racial and ethnic differences in the relationship between HbA1c and blood glucose have also been described. Although the reasons for racial and ethnic differences remain unknown, factors such as differences in red cell survival, extracellular-intracellular glucose balance, and nonglycemic genetic determinants of hemoglobin glycation are being explored as contributors. Until the reasons for these differences are more clearly defined, reliance on HbA1c as the sole, or even preferred, criterion for the diagnosis of diabetes creates the potential for systematic error and misclassification. HbA1c must be used thoughtfully and in combination with traditional glucose criteria when screening for and diagnosing diabetes.

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Year:  2012        PMID: 22238408      PMCID: PMC3319188          DOI: 10.1210/jc.2011-1894

Source DB:  PubMed          Journal:  J Clin Endocrinol Metab        ISSN: 0021-972X            Impact factor:   5.958


  30 in total

1.  HbA(1c) levels are genetically determined even in type 1 diabetes: evidence from healthy and diabetic twins.

Authors:  H Snieder; P A Sawtell; L Ross; J Walker; T D Spector; R D Leslie
Journal:  Diabetes       Date:  2001-12       Impact factor: 9.461

2.  Glucose-independent, black-white differences in hemoglobin A1c levels: a cross-sectional analysis of 2 studies.

Authors:  David C Ziemer; Paul Kolm; William S Weintraub; Viola Vaccarino; Mary K Rhee; Jennifer G Twombly; K M Venkat Narayan; David D Koch; Lawrence S Phillips
Journal:  Ann Intern Med       Date:  2010-06-15       Impact factor: 25.391

3.  Racial differences in glycemic markers: a cross-sectional analysis of community-based data.

Authors:  Elizabeth Selvin; Michael W Steffes; Christie M Ballantyne; Ron C Hoogeveen; Josef Coresh; Frederick L Brancati
Journal:  Ann Intern Med       Date:  2011-03-01       Impact factor: 25.391

4.  Glycated hemoglobin, diabetes, and cardiovascular risk in nondiabetic adults.

Authors:  Elizabeth Selvin; Michael W Steffes; Hong Zhu; Kunihiro Matsushita; Lynne Wagenknecht; James Pankow; Josef Coresh; Frederick L Brancati
Journal:  N Engl J Med       Date:  2010-03-04       Impact factor: 91.245

5.  International Expert Committee report on the role of the A1C assay in the diagnosis of diabetes.

Authors: 
Journal:  Diabetes Care       Date:  2009-06-05       Impact factor: 17.152

6.  Distribution of HbA(1c) levels for children and young adults in the U.S.: Third National Health and Nutrition Examination Survey.

Authors:  Jinan B Saaddine; Anne Fagot-Campagna; Deborah Rolka; K M Venkat Narayan; Linda Geiss; Mark Eberhardt; Katherine M Flegal
Journal:  Diabetes Care       Date:  2002-08       Impact factor: 19.112

7.  Racial and ethnic differences in mean plasma glucose, hemoglobin A1c, and 1,5-anhydroglucitol in over 2000 patients with type 2 diabetes.

Authors:  William H Herman; Kathleen M Dungan; Bruce H R Wolffenbuttel; John B Buse; Jessie L Fahrbach; Honghua Jiang; Sherry Martin
Journal:  J Clin Endocrinol Metab       Date:  2009-03-10       Impact factor: 5.958

8.  Common variants at 10 genomic loci influence hemoglobin A₁(C) levels via glycemic and nonglycemic pathways.

Authors:  Nicole Soranzo; Serena Sanna; Eleanor Wheeler; Christian Gieger; Dörte Radke; Josée Dupuis; Nabila Bouatia-Naji; Claudia Langenberg; Inga Prokopenko; Elliot Stolerman; Manjinder S Sandhu; Matthew M Heeney; Joseph M Devaney; Muredach P Reilly; Sally L Ricketts; Alexandre F R Stewart; Benjamin F Voight; Christina Willenborg; Benjamin Wright; David Altshuler; Dan Arking; Beverley Balkau; Daniel Barnes; Eric Boerwinkle; Bernhard Böhm; Amélie Bonnefond; Lori L Bonnycastle; Dorret I Boomsma; Stefan R Bornstein; Yvonne Böttcher; Suzannah Bumpstead; Mary Susan Burnett-Miller; Harry Campbell; Antonio Cao; John Chambers; Robert Clark; Francis S Collins; Josef Coresh; Eco J C de Geus; Mariano Dei; Panos Deloukas; Angela Döring; Josephine M Egan; Roberto Elosua; Luigi Ferrucci; Nita Forouhi; Caroline S Fox; Christopher Franklin; Maria Grazia Franzosi; Sophie Gallina; Anuj Goel; Jürgen Graessler; Harald Grallert; Andreas Greinacher; David Hadley; Alistair Hall; Anders Hamsten; Caroline Hayward; Simon Heath; Christian Herder; Georg Homuth; Jouke-Jan Hottenga; Rachel Hunter-Merrill; Thomas Illig; Anne U Jackson; Antti Jula; Marcus Kleber; Christopher W Knouff; Augustine Kong; Jaspal Kooner; Anna Köttgen; Peter Kovacs; Knut Krohn; Brigitte Kühnel; Johanna Kuusisto; Markku Laakso; Mark Lathrop; Cécile Lecoeur; Man Li; Mingyao Li; Ruth J F Loos; Jian'an Luan; Valeriya Lyssenko; Reedik Mägi; Patrik K E Magnusson; Anders Mälarstig; Massimo Mangino; María Teresa Martínez-Larrad; Winfried März; Wendy L McArdle; Ruth McPherson; Christa Meisinger; Thomas Meitinger; Olle Melander; Karen L Mohlke; Vincent E Mooser; Mario A Morken; Narisu Narisu; David M Nathan; Matthias Nauck; Chris O'Donnell; Konrad Oexle; Nazario Olla; James S Pankow; Felicity Payne; John F Peden; Nancy L Pedersen; Leena Peltonen; Markus Perola; Ozren Polasek; Eleonora Porcu; Daniel J Rader; Wolfgang Rathmann; Samuli Ripatti; Ghislain Rocheleau; Michael Roden; Igor Rudan; Veikko Salomaa; Richa Saxena; David Schlessinger; Heribert Schunkert; Peter Schwarz; Udo Seedorf; Elizabeth Selvin; Manuel Serrano-Ríos; Peter Shrader; Angela Silveira; David Siscovick; Kjioung Song; Timothy D Spector; Kari Stefansson; Valgerdur Steinthorsdottir; David P Strachan; Rona Strawbridge; Michael Stumvoll; Ida Surakka; Amy J Swift; Toshiko Tanaka; Alexander Teumer; Gudmar Thorleifsson; Unnur Thorsteinsdottir; Anke Tönjes; Gianluca Usala; Veronique Vitart; Henry Völzke; Henri Wallaschofski; Dawn M Waterworth; Hugh Watkins; H-Erich Wichmann; Sarah H Wild; Gonneke Willemsen; Gordon H Williams; James F Wilson; Juliane Winkelmann; Alan F Wright; Carina Zabena; Jing Hua Zhao; Stephen E Epstein; Jeanette Erdmann; Hakon H Hakonarson; Sekar Kathiresan; Kay-Tee Khaw; Robert Roberts; Nilesh J Samani; Mark D Fleming; Robert Sladek; Gonçalo Abecasis; Michael Boehnke; Philippe Froguel; Leif Groop; Mark I McCarthy; W H Linda Kao; Jose C Florez; Manuela Uda; Nicholas J Wareham; Inês Barroso; James B Meigs
Journal:  Diabetes       Date:  2010-09-21       Impact factor: 9.461

9.  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

10.  Association between iron deficiency and A1C Levels among adults without diabetes in the National Health and Nutrition Examination Survey, 1999-2006.

Authors:  Catherine Kim; Kai McKeever Bullard; William H Herman; Gloria L Beckles
Journal:  Diabetes Care       Date:  2010-01-12       Impact factor: 17.152

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  83 in total

1.  A1C Combined With Glycated Albumin Improves Detection of Prediabetes in Africans: The Africans in America Study.

Authors:  Anne E Sumner; Michelle T Duong; Paola C Aldana; Madia Ricks; Marshall K Tulloch-Reid; Jay N Lozier; Stephanie T Chung; David B Sacks
Journal:  Diabetes Care       Date:  2015-12-17       Impact factor: 19.112

2.  Tools for practice: screening and diagnosis of type 2 diabetes with HbA1c.

Authors:  Marco Mannarino; Marcello Tonelli; G Michael Allan
Journal:  Can Fam Physician       Date:  2013-01       Impact factor: 3.275

3.  Differences in Hemoglobin A1c Between Hispanics/Latinos and Non-Hispanic Whites: An Analysis of the Hispanic Community Health Study/Study of Latinos and the 2007-2012 National Health and Nutrition Examination Survey.

Authors:  M Larissa Avilés-Santa; Lucy L Hsu; Mario Arredondo; Andy Menke; Ellen Werner; Bharat Thyagarajan; Gerardo Heiss; Yanping Teng; Neil Schneiderman; Aida L Giachello; Linda C Gallo; Gregory A Talavera; Catherine C Cowie
Journal:  Diabetes Care       Date:  2016-04-18       Impact factor: 19.112

4.  PERFORMANCE OF A1C VERSUS OGTT FOR THE DIAGNOSIS OF PREDIABETES IN A COMMUNITY-BASED SCREENING.

Authors:  Jenny E Camacho; Vallabh O Shah; Ronald Schrader; Craig S Wong; Mark R Burge
Journal:  Endocr Pract       Date:  2016-08-02       Impact factor: 3.443

5.  Protein signatures from blood plasma and urine suggest changes in vascular function and IL-12 signaling in elderly with a history of chronic diseases compared with an age-matched healthy cohort.

Authors:  Yanbao Yu; Harinder Singh; Keehwan Kwon; Tamara Tsitrin; Joann Petrini; Karen E Nelson; Rembert Pieper
Journal:  Geroscience       Date:  2020-09-24       Impact factor: 7.713

6.  Factors associated with failure to achieve a glycated haemoglobin target of <8.0% in the Action to Control Cardiovascular Risk in Diabetes (ACCORD) trial.

Authors:  T C Drake; F-C Hsu; D Hire; S-H Chen; R M Cohen; R McDuffie; E Nylen; P O'Connor; S Rehman; E R Seaquist
Journal:  Diabetes Obes Metab       Date:  2015-10-26       Impact factor: 6.577

7.  Inaccuracy of haemoglobin A1c among HIV-infected men: effects of CD4 cell count, antiretroviral therapies and haematological parameters.

Authors:  Laurence Slama; Frank J Palella; Alison G Abraham; Xiuhong Li; Corinne Vigouroux; Gilles Pialoux; Lawrence Kingsley; Jordan E Lake; Todd T Brown
Journal:  J Antimicrob Chemother       Date:  2014-08-04       Impact factor: 5.790

Review 8.  Haemoglobin A1c or Glycated Albumin for Diagnosis and Monitoring Diabetes: An African Perspective.

Authors:  J A George; R T Erasmus
Journal:  Indian J Clin Biochem       Date:  2018-05-03

Review 9.  Measurement of posttransfusion red cell survival with the biotin label.

Authors:  Donald M Mock; John A Widness; Peter Veng-Pedersen; Ronald G Strauss; Jose A Cancelas; Robert M Cohen; Christopher J Lindsell; Robert S Franco
Journal:  Transfus Med Rev       Date:  2014-04-05

10.  Unreliable oral glucose tolerance test and haemoglobin A1C in beta thalassaemia major--a case for continuous glucose monitoring?

Authors:  Abha Choudhary; Patricia Giardina; Zoltan Antal; Maria Vogiatzi
Journal:  Br J Haematol       Date:  2013-04-18       Impact factor: 6.998

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