Isolated HbA1c identifies a different subgroup of individuals with type 2 diabetes compared to fasting or post-challenge glucose in Asian Indians: The CARRS and MASALA studies

Diabetes Research and Clinical Practice

Volumn 153, Issue , 2019, Pages 93-102

  Gujral, U P ^a   Prabhakaran, D ^b,c   Pradeepa, R ^d   Kandula, N R ^e   Kondal, D ^b   Deepa, M ^d   Zakai, N A ^f   Anjana, R M ^d   Rautela, G ^b   Mohan, V ^d   Narayan, K M V ^a   Tandon, N ^b,g   Kanaya, A M ^h  

^a EMORY UNIVERSITY SCHOOL OF MEDICINE   (United States)

^b PUBLIC HEALTH FOUNDATION OF INDIA   (India)

^c LONDON SCHOOL OF HYGIENE AND TROPICAL MEDICINE   (United Kingdom)

^d MADRAS DIABETES RESEARCH FOUNDATION   (India)

^e NORTHWESTERN UNIVERSITY   (United States)

^f UNIVERSITY OF VERMONT COLLEGE OF MEDICINE   (United States)

^g ALL INDIA INSTITUTE OF MEDICAL SCIENCES   (India)

^h UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Diagnostic criteria; HbA1c; Type 2 diabetes

Indexed keywords

GLUCOSE; HEMOGLOBIN A1C; GLYCOSYLATED HEMOGLOBIN;

ADULT; AGE; AGED; ARTICLE; ASIAN INDIAN; BODY MASS; CITIZEN GROUP; CROSS-SECTIONAL STUDY; DIAGNOSTIC ACCURACY; DIAGNOSTIC TEST; DIAGNOSTIC TEST ACCURACY STUDY; FASTING; FEMALE; GLUCOSE BLOOD LEVEL; GLUCOSE INTOLERANCE; GLYCEMIC CONTROL; HUMAN; INDIA; MAJOR CLINICAL STUDY; MALE; MORBIDITY; MORTALITY; NON INSULIN DEPENDENT DIABETES MELLITUS; ORAL GLUCOSE TOLERANCE TEST; PRACTICE GUIDELINE; PREVALENCE; SEX DIFFERENCE; UNITED STATES; ASIAN CONTINENTAL ANCESTRY GROUP; CLINICAL TRIAL; DIET RESTRICTION; METABOLISM; MIDDLE AGED; MULTICENTER STUDY;

ASIAN CONTINENTAL ANCESTRY GROUP; BLOOD GLUCOSE; CROSS-SECTIONAL STUDIES; DIABETES MELLITUS, TYPE 2; FASTING; FEMALE; GLYCATED HEMOGLOBIN A; HUMANS; INDIA; MALE; MIDDLE AGED;

EID: 85066936942     PISSN: 01688227     EISSN: 18728227     Source Type: Journal    
DOI: 10.1016/j.diabres.2019.05.026     Document Type: Article

References (22)

1. World Health Organization Expert Committee on Diabetes Mellitus. Technical Report Series 646. 1980. World Health Organisation, Geneva n.d.
2. Committee* TIE, International expert committee report on the role of the A1C Assay in the diagnosis of diabetes. Diabetes Care 32 (2009), 1327–1334, 10.2337/dc09-9033.
3. Association, A.D., Diagnosis and classification of diabetes mellitus. Diabetes Care 37 (2014), S81–S90, 10.2337/dc14-S081.
4. Organization WH. Use of glycated haemoglobin (HbA1c) in the diagnosis of diabetes mellitus. Abbreviated report of a WHO consultation 2011. Geneva World Health Organ 2013.
5. Gujral, U.P., Pradeepa, R., Weber, M.B., Narayan, K.M.V., Mohan, V., Type 2 diabetes in South Asians: similarities and differences with white Caucasian and other populations. Ann NY Acad Sci 1281 (2013), 51–63, 10.1111/j.1749-6632.2012.06838.x.
6. Abate, N., Chandalia, M., Ethnicity and type 2 diabetes: Focus on Asian Indians. J Diabetes Complications 15 (2001), 320–327, 10.1016/S1056-8727(01)00161-1.
7. Nair, M., Ali, M.K., Ajay, V.S., Shivashankar, R., Mohan, V., Pradeepa, R., et al. CARRS Surveillance study: design and methods to assess burdens from multiple perspectives. BMC Public Health, 12, 2012, 701, 10.1186/1471-2458-12-701.
8. Kanaya, A.M., Kandula, N., Herrington, D., Budoff, M.J., Hulley, S., Vittinghoff, E., et al. Mediators of Atherosclerosis in South Asians Living in America (MASALA) study: objectives, methods, and cohort description. Clin Cardiol 36 (2013), 713–720, 10.1002/clc.22219.
9. NCDs | STEPS Manual. WHO n.d. http://www.who.int/ncds/surveillance/steps/manual/en/ (accessed July 3, 2018).
10. Ainsworth, B.E., Irwin, M.L., Addy, C.L., Whitt, M.C., Stolarczyk, L.M., Moderate physical activity patterns of minority women: the Cross-Cultural Activity Participation Study. J Womens Health Gend Based Med 8 (1999), 805–813, 10.1089/152460999319129.
11. Utzschneider, K.M., Prigeon, R.L., Faulenbach, M.V., Tong, J., Carr, D.B., Boyko, E.J., et al. Oral disposition index predicts the development of future diabetes above and beyond fasting and 2-h glucose levels. Diabetes Care 32 (2009), 335–341, 10.2337/dc08-1478.
12. Matthews, D.R., Hosker, J.P., Rudenski, A.S., Naylor, B.A., Treacher, D.F., Turner, R.C., Homeostasis model assessment: insulin resistance and β-cell function from fasting plasma glucose and insulin concentrations in man. Diabetologia 28 (1985), 412–419, 10.1007/BF00280883.
13. Jeon, J.Y., Ko, S.-H., Kwon, H.-S., Kim, N.H., Kim, J.H., Kim, C.S., et al. Prevalence of diabetes and prediabetes according to fasting plasma glucose and HbA1c. Diabetes Metab J 37 (2013), 349–357, 10.4093/dmj.2013.37.5.349.
14. Araneta, M.R.G., Grandinetti, A., Chang, H.K., A1C and diabetes diagnosis among Filipino-Americans, Japanese-Americans, and native Hawaiians. Diabetes Care, 2010.
15. Nazir, A., Papita, R., Anbalagan, V.P., Anjana, R.M., Deepa, M., Mohan, V., Prevalence of diabetes in asian indians based on glycated hemoglobin and fasting and 2-H post-load (75-g) plasma glucose (CURES-120). Diabetes Technol Ther 14 (2012), 665–668, 10.1089/dia.2012.0059.
16. Effects of diabetes definition on global surveillance of diabetes prevalence and diagnosis: a pooled analysis of 96 population-based studies with 331 288 participants. Lancet Diabetes Endocrinol 2015;3:624–37. http://doi.org/10.1016/S2213-8587(15)00129-1.
17. Christensen, D.L., Witte, D.R., Kaduka, L., Jørgensen, M.E., Borch-Johnsen, K., Mohan, V., et al. Moving to an A1C-based diagnosis of diabetes has a different impact on prevalence in different ethnic groups. Diabetes Care 33 (2010), 580–582, 10.2337/dc09-1843.
18. Cavagnolli G, Comerlato J, Comerlato C, Renz PB, Gross JL, Camargo JL. HbA1c measurement for the diagnosis of diabetes: is it enough? Diabet Med n.d.;28:31–5. http://doi.org/10.1111/j.1464-5491.2010.03159.x.
19. Rohlfing, C.L., Little, R.R., Wiedmeyer, H.M., England, J.D., Madsen, R., Harris, M.I., et al. Use of GHb (HbA1c) in screening for undiagnosed diabetes in the U.S. population. Diabetes Care 23 (2000), 187–191, 10.2337/diacare.23.2.187.
20. Cohen, R.M., Franco, R.S., Smith, E.P., Higgins, J.M., When HbA1c and blood glucose do not match: how much is determined by race, by genetics, by differences in mean red blood cell age?. J Clin Endocrinol Metab 104 (2019), 707–710, 10.1210/jc.2018-02409.
21. Unnikrishnan, R., Mohan, V., Challenges in estimation of glycated hemoglobin in India. Diabetes Technol Ther 15 (2013), 897–899, 10.1089/dia.2013.0144.
22. Nasir, N.M., Thevarajah, M., Yean, C.Y., Hemoglobin variants detected by hemoglobin A1c (HbA1c) analysis and the effects on HbA1c measurements. Int J Diabetes Dev Ctries 30 (2010), 86–90, 10.4103/0973-3930.62598.