A1C Cut Points to Define Various Glucose Intolerance Groups in Asian Indians
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OBJECTIVE: To determine A1C cut points for glucose intolerance in Asian Indians. RESEARCH DESIGN AND METHODS: A total of 2,188 participants without known diabetes were randomly selected from the Chennai Urban Rural Epidemiology Study. All had fasting plasma glucose (FPG) and 2-h postload plasma glucose measurements after a 75-g load and were classified as having impaired fasting glucose (IFG) (American Diabetes Association [ADA] criteria, FPG ≥5.5 and <7 mmol/l, and World Health Organization [WHO] criteria, FPG ≥6.1 and <7 mmol/l), impaired glucose tolerance (IGT) (2-h postload plasma glucose ≥7.8 and <11.1 mmol/l), or diabetes (FPG ≥7 mmol/l and/or 2-h postload plasma glucose ≥11.1 mmol/l). A1C was measured using the Bio-Rad Variant machine. Based on receiver operating characteristic curves, optimum sensitivity and specificity were derived for defining A1C cut points for diabetes, IGT, and IFG. RESULTS: Mean ± SD values of A1C among subjects with normal glucose tolerance, IGT, and diabetes were 5.5 ± 0.4, 5.9 ± 0.6, and 8.3 ± 2.0%, respectively (Ptrend < 0.001) with considerable overlap. To identify diabetes based on 2-h postload plasma glucose, the A1C cut point of 6.1% had an area under the curve (AUC) of 0.941 with 88.0% sensitivity and 87.9% specificity. When diabetes was defined as FPG ≥7.0 mmol/l, the A1C cut point was 6.4% (AUC = 0.966, sensitivity 93.3%, and specificity 92.3%). For IGT, AUC = 0.708; for IFG, AUC = 0.632 (WHO criteria) and 0.708 (ADA criteria), and the A1C cut point was 5.6%. CONCLUSIONS: In Asian Indians, A1C cut points of 6.1 and 6.4% defined diabetes by 2-h postload plasma glucose or FPG criteria, respectively. A value of 5.6% optimally identified IGT or IFG but was <70% accurate.
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The IEC A1C criteria have recently been compared with testing with fasting glucose or OGTTs in various populations to diagnose diabetes and high-risk/pre-diabetes.
“The IEC A1C criteria have recently been compared with testing with fasting glucose or oral glucose tolerance tests (OGTTs) in various populations to diagnose diabetes (7–13) and high-risk/pre-diabetes (10,11,13), but the ADA A1C criteria have not been studied.”
From Screening for Diabetes and Pre-Diabetes With Proposed A1C-Based Diagnostic Criteria (2010) · cites this paper as [11]
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Diabetes and lipid levels in Rural Andhra Pradesh, India - 2005 to 2014
Affan, E. T. (2015) · The Sydney eScholarship Repository (The University of Sydney)
- Authors
- Mohan, V., Vijayachandrika, V., Gokulakrishnan, K., Anjana, R. M., Ganesan, A., Weber, M. B., & Narayan, K. M. V.
- Affiliations
- Madras Diabetes Research Foundation (IN)
- Madras Diabetes Research Foundation and Dr. Mohan's Diabetes Specialities Centre, World Health Organization Collaborating Centre for Non-Communicable Diseases Prevention and Control, and International Diabetes Federation Centre for Education, Chennai, India;
- Emory University (US)
- Corresponding author
- Mohan, Viswanathan
- ORCID
- Venue
- Diabetes Care
- Publisher
- American Diabetes Association
- Published
- 2009-11-10
- Volume
- 33
- Issue
- 3
- Pages
- 515-519
- ISSN
- 0149-5992 (ISSN-L)
- 1935-5548
- PMC
- PMC2827500
- OpenAlex
- W2131658928
- Cited by
- 118
- References
- 31
- Citations by year
- 2026: 3 · 2025: 2 · 2024: 2 · 2023: 1 · 2022: 4 · 2021: 4 · 2020: 5 · 2019: 2 · 2018: 4 · 2017: 7 · 2016: 8 · 2015: 7 · 2014: 13 · 2013: 12 · 2012: 19
- FWCI
- 10.68
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Diabetes Care (publishedVersion, cc-by-nc-nd)
- Europe PMC (PubMed Central) (publishedVersion, cc-by-nc-nd)
- PubMed Central (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Research
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Treatment and Management
- Keywords
- HbA1c, impaired glucose tolerance, impaired fasting glucose, diabetes diagnosis, Asian Indians, fasting blood glucose, diagnostic accuracy, WHO criteria, ADA criteria, prediabetes, glycemic targets
- MeSH terms
- Adult, Algorithms, Blood Glucose, Cross-Sectional Studies, Diagnostic Techniques, Endocrine, Glycated Hemoglobin, Humans, India, Middle Aged, Population, Reference Values, Sensitivity and Specificity, Prevalence, Glucose Intolerance, Area Under Curve, Asian People
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