Literature DB >> 24512556

Use of HbA1c for diagnoses of diabetes and prediabetes: comparison with diagnoses based on fasting and 2-hr glucose values and effects of gender, race, and age.

Fangjian Guo1, Douglas R Moellering, W Timothy Garvey.   

Abstract

BACKGROUND: Glycated hemoglobin (HbA1c) has been advocated for the diagnosis of diabetes and prediabetes. Its performance has been commonly assessed in corroboration with elevated fasting plasma glucose (FPG), but not the combination of FPG and 2-hr glucose values. This study assesses receiver operating characteristics (ROC) curves of HbA1c pertaining to the diagnoses of prediabetes and diabetes by FPG and/or 2-hr glucose, and the effects of age, gender, and race.
METHODS: We assessed the utility of HbA1c for diagnosing diabetes and prediabetes among 5395 adults without known diabetes from the National Health and Nutrition Examination Survey (NHANES) 2005-2010.
RESULTS: Current cutoffs of HbA1c for diabetes (6.5%) or prediabetes (5.7%) exhibited low sensitivity (0.249 and 0.354, respectively) and high specificity in identifying patients diagnosed using both FPG and 2-hr glucose, resulting in large false-negative rates (75.1% and 64.9%). Misdiagnosis rates increased with age and in non-Hispanic whites and Mexican Americans. When HbA1c was combined with FPG for diagnoses, the false-negative rate remained high for diabetes (45.7%), but was reduced for prediabetes (9.2%).
CONCLUSIONS: When assessed against diagnoses using both FPG and 2-hr glucose, HbA1c had low sensitivity and high specificity for identifying diabetes and prediabetes, which varied as a function of age and race. Regarding recently released American Diabetes Association (ADA) and joint European guidelines, it is important to consider that HbA1c values below 6.5% and 5.7% do not reliably exclude the presence of diabetes and prediabetes, respectively. Overall, the data argue for greater use of oral glucose tolerance tests (OGTTs) and both FPG and 2-hr glucose values for diagnosis of diabetes and prediabetes.

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Year:  2014        PMID: 24512556      PMCID: PMC4088353          DOI: 10.1089/met.2013.0128

Source DB:  PubMed          Journal:  Metab Syndr Relat Disord        ISSN: 1540-4196            Impact factor:   1.894


  33 in total

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2.  The Indian Diabetes Prevention Programme shows that lifestyle modification and metformin prevent type 2 diabetes in Asian Indian subjects with impaired glucose tolerance (IDPP-1).

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3.  Standards of medical care in diabetes--2013.

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4.  Prevalence of diabetes, impaired fasting glucose, and impaired glucose tolerance in U.S. adults. The Third National Health and Nutrition Examination Survey, 1988-1994.

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Journal:  Diabetes Care       Date:  1998-04       Impact factor: 19.112

5.  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
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6.  Identifying dysglycemic states in older adults: implications of the emerging use of hemoglobin A1c.

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

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8.  Mean blood glucose and biological variation have greater influence on HbA1c levels than glucose instability: an analysis of data from the Diabetes Control and Complications Trial.

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9.  Short-term variability in measures of glycemia and implications for the classification of diabetes.

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  32 in total

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3.  The Effect of Undiagnosed Diabetes on the Association Between Self-Reported Diabetes and Cognitive Impairment Among Older Mexican Adults.

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

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Journal:  Endocr Pract       Date:  2016-08-02       Impact factor: 3.443

6.  Not performing an OGTT results in significant underdiagnosis of (pre)diabetes in a high risk adult Caucasian population.

Authors:  A S Meijnikman; C E M De Block; E Dirinck; A Verrijken; I Mertens; B Corthouts; L F Van Gaal
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7.  Development of a Weighted Cardiometabolic Disease Staging (CMDS) System for the Prediction of Future Diabetes.

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Journal:  J Clin Endocrinol Metab       Date:  2015-08-04       Impact factor: 5.958

Review 8.  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
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Review 9.  Significance of HbA1c and its measurement in the diagnosis of diabetes mellitus: US experience.

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10.  Association of Protein Z with Prediabetes and Type 2 Diabetes.

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