Literature DB >> 20636956

The potential impact of using glycated haemoglobin as the preferred diagnostic tool for detecting Type 2 diabetes mellitus.

S A Mostafa1, M J Davies, D Webb, L J Gray, B T Srinivasan, J Jarvis, K Khunti.   

Abstract

AIMS: There are calls to simplify the diagnosis of Type 2 diabetes mellitus (T2DM) to reduce the burden of undiagnosed disease. Glycated haemoglobin (HbA(1c)) is therefore being considered as a preferred diagnostic tool to replace the need for an oral glucose tolerance test (OGTT), considered by many as cumbersome and inconvenient. The aim of this study was to examine the potential impact of the preferred use of HbA(1c) as a diagnostic tool on the prevalence and phenotype of T2DM.
METHODS: Analysis of the Leicester Ethnic Atherosclerosis and Diabetes Risk (LEADER) cohort for previously undiagnosed individuals between 40 and 75 years of age who had OGTT, repeated if within the diabetes range, and HbA(1c) results. We compared the prevalence and phenotype of subjects with T2DM based on either HbA(1c)> or =6.5% or OGTT using 1999 World Health Organization criteria.
RESULTS: From the total population of 8696, we detected 291 (3.3%) with T2DM from using an OGTT, and 502 (5.8%) had HbA(1c)> or =6.5%. Of those diagnosed with T2DM by OGTT, 93 (1.2%) had HbA(1c) <6.5% and therefore would not have been classified as having T2DM using proposed criteria. Using HbA(1c) criteria resulted in 304 (3.5%) additional cases of T2DM, approximately doubling the prevalence. Of these 304 additional people, 172 (56.7%) had impaired glucose tolerance/impaired fasting glycaemia according to 1999 World Health Organization criteria. Using HbA(1c) criteria there was an increase of 2.2- and 1.4-fold in south Asians and white Europeans detected, respectively.
CONCLUSIONS: Within this multi-ethnic cohort, we found that introducing HbA(1c)> or =6.5% as the preferred diagnostic test to diagnose T2DM significantly increased numbers detected with T2DM; however, some people were no longer detected as having T2DM.

Entities:  

Mesh:

Substances:

Year:  2010        PMID: 20636956     DOI: 10.1111/j.1464-5491.2010.03015.x

Source DB:  PubMed          Journal:  Diabet Med        ISSN: 0742-3071            Impact factor:   4.359


  18 in total

Review 1.  The worldwide epidemiology of type 2 diabetes mellitus--present and future perspectives.

Authors:  Lei Chen; Dianna J Magliano; Paul Z Zimmet
Journal:  Nat Rev Endocrinol       Date:  2011-11-08       Impact factor: 43.330

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.  Should haemoglobin A1C be used for diagnosis of diabetes mellitus in Malawi?

Authors:  W P Nakanga; A Crampin; M Nyirenda
Journal:  Malawi Med J       Date:  2016-03       Impact factor: 0.875

4.  Fasting Plasma Glucose and the HbA1c Are Not Optimal Screening Modalities for the Diagnosis of New Diabetes in Previously Undiagnosed Asian Indian Community Participants.

Authors:  Rosaley Prakaschandra; Datshanna Prakesh Naidoo
Journal:  Ethn Dis       Date:  2018-02-01       Impact factor: 1.847

5.  Detection of impaired glucose regulation and/or type 2 diabetes mellitus, using primary care electronic data, in a multiethnic UK community setting.

Authors:  L J Gray; M J Davies; S Hiles; N A Taub; D R Webb; B T Srinivasan; K Khunti
Journal:  Diabetologia       Date:  2012-01-10       Impact factor: 10.122

6.  Associations Between Prediabetes, by Three Different Diagnostic Criteria, and Incident CVD Differ in South Asians and Europeans.

Authors:  Sophie V Eastwood; Therese Tillin; Naveed Sattar; Nita G Forouhi; Alun D Hughes; Nish Chaturvedi
Journal:  Diabetes Care       Date:  2015-10-20       Impact factor: 19.112

7.  Diagnosing type 2 diabetes and identifying high-risk individuals using the new glycated haemoglobin (HbA1c) criteria.

Authors:  Nitin N Gholap; Melanie J Davies; Samiul A Mostafa; Kamlesh Khunti
Journal:  Br J Gen Pract       Date:  2013-02       Impact factor: 5.386

8.  Independent effect of ethnicity on glycemia in South Asians and white Europeans.

Authors:  Samiul A Mostafa; Melanie J Davies; David R Webb; Balasubramanian Thiagarajan Srinivasan; Laura J Gray; Kamlesh Khunti
Journal:  Diabetes Care       Date:  2012-06-14       Impact factor: 19.112

9.  Effects of Age and Sex on Estimated Diabetes Prevalence Using Different Diagnostic Criteria: The Tromsø OGTT Study.

Authors:  Moira Strand Hutchinson; Ragnar Martin Joakimsen; Inger Njølstad; Henrik Schirmer; Yngve Figenschau; Johan Svartberg; Rolf Jorde
Journal:  Int J Endocrinol       Date:  2013-01-09       Impact factor: 3.257

10.  HbA₁c versus oral glucose tolerance test as a method to diagnose diabetes mellitus in vascular surgery patients.

Authors:  Iren D Hjellestad; Marianne C Astor; Roy M Nilsen; Eirik Søfteland; Torbjørn Jonung
Journal:  Cardiovasc Diabetol       Date:  2013-05-25       Impact factor: 9.951

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.