Literature DB >> 29868987

Identifying Prediabetes and Type 2 Diabetes in Asymptomatic Youth: Should HbA1c Be Used as a Diagnostic Approach?

Mary Ellen Vajravelu1, Joyce M Lee2.   

Abstract

PURPOSE OF REVIEW: Because the incidence of type 2 diabetes and prediabetes in children is rising, routine screening of those at risk is recommended. In 2010, the ADA made the recommendation to include hemoglobin A1c (HbA1c) as a diagnostic test for diabetes, in addition to the oral glucose tolerance test or fasting plasma glucose. Our objective was to assess the pediatric literature with regard to HbA1c test performance and discuss advantages and disadvantages of use of the test for diagnostic purposes. RECENT
FINDINGS: HbA1c has a number of advantages, including elimination of the need for fasting, lower variability, assay standardization, and long-term association with future development of diabetes. It also has many drawbacks. It can be affected by a number of non-glycemic factors, including red blood cell turnover, hemoglobinopathies, medications, race, and age. In particular, it performs differently in children compared with adults, generally with lower sensitivity for prediabetes (as low as 0-5% in children vs 23-27% in adults) and lower area under the receiver operating characteristic curve (AUC) (0.53 vs 0.73 for prediabetes), and it has lower efficacy at a higher cost, compared with other tests of glycemia. Finally, HbA1c may perform very differently across diverse populations according to race/ethnicity; in Chinese populations, the proportion of individuals classified with prediabetes based on HbA1c predominates compared with IFG (77% for HbA1c vs 27.7% for IFG), whereas in US populations, it is the opposite (24.8% for HbA1c vs 80.1% for FPG). HbA1c is controversial because although it is convenient, it is not a true measure of glycemia. The interpretation of HbA1c results requires a nuanced understanding that many primary care physicians who are ordering the test in greater numbers do not possess. Alternative markers of glycemia may hold promise for the future but are not yet endorsed for use in practice. Further studies are needed to determine appropriate thresholds for screening tests and the long-term impact of screening and identification.

Entities:  

Keywords:  Diabetes; Fasting plasma glucose; Hemoglobin A1c; Oral glucose tolerance test

Mesh:

Substances:

Year:  2018        PMID: 29868987     DOI: 10.1007/s11892-018-1012-6

Source DB:  PubMed          Journal:  Curr Diab Rep        ISSN: 1534-4827            Impact factor:   4.810


  44 in total

1.  Red cell transfusion decreases hemoglobin A1c in patients with diabetes.

Authors:  David H Spencer; Brenda J Grossman; Mitchell G Scott
Journal:  Clin Chem       Date:  2010-11-08       Impact factor: 8.327

2.  Diagnostic performance of hemoglobin A1c for prediabetes and association with cardiometabolic risk factors in Chinese adolescents without diabetes.

Authors:  Ping Li; Ranhua Jiang; Ling Li; Liang Li; Zinan Wang; Xue Li; Cong Liu
Journal:  J Investig Med       Date:  2012-08       Impact factor: 2.895

3.  Diagnosis of diabetes using hemoglobin A1c: should recommendations in adults be extrapolated to adolescents?

Authors:  Joyce M Lee; En-Ling Wu; Beth Tarini; William H Herman; Esther Yoon
Journal:  J Pediatr       Date:  2010-12-30       Impact factor: 4.406

Review 4.  Type 2 diabetes in children and adolescents. American Diabetes Association.

Authors: 
Journal:  Pediatrics       Date:  2000-03       Impact factor: 7.124

5.  Circulating 1,5-anhydroglucitol levels in adult patients with diabetes reflect longitudinal changes of glycemia: a U.S. trial of the GlycoMark assay.

Authors:  Janet B McGill; Thomas G Cole; William Nowatzke; Shannon Houghton; Erika B Ammirati; Theresa Gautille; Mark J Sarno
Journal:  Diabetes Care       Date:  2004-08       Impact factor: 19.112

6.  Effect of iron deficiency anemia on the levels of hemoglobin A1c in nondiabetic patients.

Authors:  Erkan Coban; Mustafa Ozdogan; Aysen Timuragaoglu
Journal:  Acta Haematol       Date:  2004       Impact factor: 2.195

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

Authors:  Elizabeth Selvin; Ciprian M Crainiceanu; Frederick L Brancati; Josef Coresh
Journal:  Arch Intern Med       Date:  2007-07-23

8.  Glycemic thresholds for diabetes-specific retinopathy: implications for diagnostic criteria for diabetes.

Authors:  Stephen Colagiuri; Crystal M Y Lee; Tien Y Wong; Beverley Balkau; Jonathan E Shaw; Knut Borch-Johnsen
Journal:  Diabetes Care       Date:  2010-10-26       Impact factor: 19.112

9.  Performance of A1C for the classification and prediction of diabetes.

Authors:  Elizabeth Selvin; Michael W Steffes; Edward Gregg; Frederick L Brancati; Josef Coresh
Journal:  Diabetes Care       Date:  2010-09-20       Impact factor: 19.112

10.  HbA1c and the Prediction of Type 2 Diabetes in Children and Adults.

Authors:  Pavithra Vijayakumar; Robert G Nelson; Robert L Hanson; William C Knowler; Madhumita Sinha
Journal:  Diabetes Care       Date:  2016-11-03       Impact factor: 19.112

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Journal:  Diabetes Res Clin Pract       Date:  2022-03-14       Impact factor: 8.180

2.  Association between prediabetes diagnosis and body mass index trajectory of overweight and obese adolescents.

Authors:  Mary Ellen Vajravelu; Joyce M Lee; Rachana Shah; Justine Shults; Sandra Amaral; Andrea Kelly
Journal:  Pediatr Diabetes       Date:  2020-05-15       Impact factor: 4.866

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Journal:  Pediatr Obes       Date:  2022-02-10       Impact factor: 3.910

4.  Yields and costs of recruitment methods with participant phenotypic characteristics for a diabetes prevention research study in an underrepresented pediatric population.

Authors:  Kiley B Vander Wyst; Micah L Olson; Elva Hooker; Erica G Soltero; Yolando P Konopken; Colleen S Keller; Felipe G Castro; Allison N Williams; Arlene D R Fernández; Donald L Patrick; Stephanie L Ayers; Houchun H Hu; Armando Peña; Janiel Pimentel; William C Knowler; Gabriel Q Shaibi
Journal:  Trials       Date:  2020-08-14       Impact factor: 2.279

Review 5.  Biguanide Pharmaceutical Formulations and the Applications of Bile Acid-Based Nano Delivery in Chronic Medical Conditions.

Authors:  Melissa Jones; Corina Mihaela Ionescu; Daniel Walker; Susbin Raj Wagle; Bozica Kovacevic; Jacqueline Chester; Thomas Foster; Edan Johnston; Jafri Kuthubutheen; Daniel Brown; Marcus D Atlas; Momir Mikov; Armin Mooranian; Hani Al-Salami
Journal:  Int J Mol Sci       Date:  2022-01-13       Impact factor: 5.923

  5 in total

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