Literature DB >> 31074800

Potential Clinical Error Arising From Use of HbA1c in Diabetes: Effects of the Glycation Gap.

Ananth U Nayak1, Baldev M Singh2,3, Simon J Dunmore2.   

Abstract

The glycation gap (GGap) and the similar hemoglobin glycation index (HGI) define consistent differences between glycated hemoglobin and actual glycemia derived from fructosamine or mean blood glucose, respectively. Such a disparity may be found in a substantial proportion of people with diabetes, being >1 U of glycated HbA1c% or 7.2 mmol/mol in almost 40% of estimations. In this review we define these indices and explain how they can be calculated and that they are not spurious, being consistent in individuals over time. We evaluate the evidence that GGap and HGI are associated with variation in risk of complications and mortality and demonstrate the potential for clinical error in the unquestioning use of HbA1c. We explore the underlying etiology of the variation of HbA1c from mean glucose in blood plasma, including the potential role of enzymatic deglycation of hemoglobin by fructosamine-3-kinase. We conclude that measurement of GGap and HGI are important to diabetes clinicians and their patients in individualization of therapy and the avoidance of harm arising from consequent inappropriate assessment of glycemia and use of therapies.
Copyright © 2019 Endocrine Society.

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Year:  2019        PMID: 31074800     DOI: 10.1210/er.2018-00284

Source DB:  PubMed          Journal:  Endocr Rev        ISSN: 0163-769X            Impact factor:   19.871


  18 in total

1.  Pitfalls of HbA1c in the Diagnosis of Diabetes.

Authors:  Michael Bergman; Muhammad Abdul-Ghani; João Sérgio Neves; Mariana P Monteiro; Jose Luiz Medina; Brenda Dorcely; Martin Buysschaert
Journal:  J Clin Endocrinol Metab       Date:  2020-08-01       Impact factor: 5.958

2.  HbA1c and Diabetes: Mismatches and Misclassifications.

Authors:  Mary Rhee
Journal:  J Clin Endocrinol Metab       Date:  2020-07-01       Impact factor: 5.958

3.  Implications of the Hemoglobin Glycation Index on the Diagnosis of Prediabetes and Diabetes.

Authors:  Daniel S Hsia; Neda Rasouli; Anastassios G Pittas; Christine W Lary; Anne Peters; Michael R Lewis; Sangeeta R Kashyap; Karen C Johnson; Erin S LeBlanc; Lawrence S Phillips; James M Hempe; Cyrus V Desouza
Journal:  J Clin Endocrinol Metab       Date:  2020-03-01       Impact factor: 5.958

Review 4.  Review of methods for detecting glycemic disorders.

Authors:  Michael Bergman; Muhammad Abdul-Ghani; Ralph A DeFronzo; Melania Manco; Giorgio Sesti; Teresa Vanessa Fiorentino; Antonio Ceriello; Mary Rhee; Lawrence S Phillips; Stephanie Chung; Celeste Cravalho; Ram Jagannathan; Louis Monnier; Claude Colette; David Owens; Cristina Bianchi; Stefano Del Prato; Mariana P Monteiro; João Sérgio Neves; Jose Luiz Medina; Maria Paula Macedo; Rogério Tavares Ribeiro; João Filipe Raposo; Brenda Dorcely; Nouran Ibrahim; Martin Buysschaert
Journal:  Diabetes Res Clin Pract       Date:  2020-06-01       Impact factor: 5.602

5.  HbA1c Is Disproportionately Higher in Women and Older People With Type 1 Diabetes Compared With Flash Glucose Monitoring Metrics of Glycemic Control.

Authors:  Roland H Stimson; Anna R Dover; Shareen Forbes; Mark W J Strachan; John A McKnight; Fraser W Gibb
Journal:  J Diabetes Sci Technol       Date:  2020-10-26

6.  Glycemic Metrics Derived From Intermittently Scanned Continuous Glucose Monitoring.

Authors:  Klavs Würgler Hansen; Bo Martin Bibby
Journal:  J Diabetes Sci Technol       Date:  2020-12-03

7.  Hemoglobin A1c, hemoglobin glycation index, and triglyceride and glucose index: Useful tools to predict low feed intake associated with glucose intolerance in lactating sows.

Authors:  Rosa Elena Pérez; Cyntia Michelle González; Manuel López; Katya Vargas; Gerardo Ordaz; Ruy Ortiz
Journal:  PLoS One       Date:  2022-05-05       Impact factor: 3.240

8.  Consistency of the Glycation Gap with the Hemoglobin Glycation Index Derived from a Continuous Glucose Monitoring System.

Authors:  Han Na Joung; Hyuk-Sang Kwon; Ki-Hyun Baek; Ki-Ho Song; Mee Kyoung Kim
Journal:  Endocrinol Metab (Seoul)       Date:  2020-06-24

9.  Impacts of glycemic variability on the relationship between glucose management indicator from iPro2 and laboratory hemoglobin A1c in adult patients with type 1 diabetes mellitus.

Authors:  Hongxia Liu; Daizhi Yang; Hongrong Deng; Wen Xu; Jing Lv; Yongwen Zhou; Sihui Luo; Xueying Zheng; Hua Liang; Bin Yao; Liling Qiu; Funeng Wang; Fang Liu; Jinhua Yan; Jianping Weng
Journal:  Ther Adv Endocrinol Metab       Date:  2020-06-08       Impact factor: 3.565

10.  Can Innovative Technologies Overcome HbA1c Disparity for African-American Youth with Type 1 Diabetes?

Authors:  Stuart Chalew; Alan M Delamater; Sonja Washington; Jayalakshmi Bhat; Diane Franz; Ricardo Gomez; Dania Felipe; Peter Tieh; Laurie Finger
Journal:  J Diabetes Sci Technol       Date:  2021-06-17
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