Association of sickle cell trait with hemoglobin A1c in African Americans

JAMA - Journal of the American Medical Association

Volumn 317, Issue 5, 2017, Pages 507-515

  Lacy, Mary E ^a   Wellenius, Gregory A ^a   Sumner, Anne E ^b   Correa, Adolfo ^c   Carnethon, Mercedes R ^d   Liem, Robert I ^e   Wilson, James G ^c   Sacks, David B ^f   Jacobs, David R ^g   Carson, April P ^h   Luo, Xi ^a   Gjelsvik, Annie ^a   Reiner, Alexander P ⁱ   Naik, Rakhi P ^j   Liu, Simin ^a,l   Musani, Solomon K ^c   Eaton, Charles B ^a   Wu, Wen Chih ^a,k,l  

^a BROWN UNIVERSITY   (United States)

^b NATIONAL INSTITUTE OF DIABETES AND DIGESTIVE AND KIDNEY DISEASES   (United States)

^c UNIVERSITY OF MISSISSIPPI SCHOOL OF MEDICINE   (United States)

^d NORTHWESTERN UNIVERSITY   (United States)

^e CHILDREN'S MEMORIAL HOSPITAL   (United States)

^f NATIONAL INSTITUTES OF HEALTH   (United States)

^g UNIVERSITY OF MINNESOTA   (United States)

^h UNIVERSITY OF ALABAMA AT BIRMINGHAM   (United States)

ⁱ UNIVERSITY OF WASHINGTON   (United States)

^j JOHNS HOPKINS UNIVERSITY SCHOOL OF MEDICINE   (United States)

^k PROVIDENCE VETERANS AFFAIRS MEDICAL CENTER   (United States)

^l BROWN UNIVERSITY   (United States)

more..

Author keywords

[No Author keywords available]

Indexed keywords

GLUCOSE; HEMOGLOBIN A1C; GLUCOSE BLOOD LEVEL; GLYCOSYLATED HEMOGLOBIN;

ADULT; AFRICAN AMERICAN; ARTICLE; COHORT ANALYSIS; CONTROLLED STUDY; CORRELATIONAL STUDY; DIABETES MELLITUS; DIAGNOSTIC TEST ACCURACY STUDY; FEMALE; GLUCOSE BLOOD LEVEL; HEMOGLOBIN BLOOD LEVEL; HUMAN; IMPAIRED GLUCOSE TOLERANCE; MAJOR CLINICAL STUDY; MALE; MIDDLE AGED; OBSERVATIONAL STUDY; PREVALENCE; RECEIVER OPERATING CHARACTERISTIC; RETROSPECTIVE STUDY; SENSITIVITY AND SPECIFICITY; SICKLE CELL TRAIT; ANALYSIS; BLOOD; DIET RESTRICTION; METABOLISM; OUTCOME ASSESSMENT; PREDIABETIC STATE; RISK FACTOR; TIME FACTOR;

AFRICAN AMERICANS; BLOOD GLUCOSE; COHORT STUDIES; DIABETES MELLITUS; FASTING; FEMALE; HEMOGLOBIN A, GLYCOSYLATED; HUMANS; MALE; MIDDLE AGED; OUTCOME ASSESSMENT (HEALTH CARE); PREDIABETIC STATE; PREVALENCE; RETROSPECTIVE STUDIES; RISK FACTORS; SICKLE CELL TRAIT; TIME FACTORS;

EID: 85014692173     PISSN: 00987484     EISSN: 15383598     Source Type: Journal    
DOI: 10.1001/jama.2016.21035     Document Type: Article

References (39)

1. Nathan DM, Kuenen J, Borg R, Zheng H, Schoenfeld D, Heine RJ; A1c-Derived Average Glucose Study Group. Translating the A1c assay into estimated average glucose values. Diabetes Care. 2008;31(8):1473-1478.
2. Bonora E, Tuomilehto J. The pros and cons of diagnosing diabetes with A1c. Diabetes Care. 2011; 34(S2)(suppl 2):S184-S190.
3. Sacks DB. A1c versus glucose testing: a comparison. Diabetes Care. 2011;34(2):518-523.
4. Selvin E, Crainiceanu CM, Brancati FL, Coresh J. Short-term variability in measures of glycemia and implications for the classification of diabetes. Arch Intern Med. 2007;167(14):1545-1551.
5. International Expert Committee. International Expert Committee report on the role of the A1c assay in the diagnosis of diabetes. Diabetes Care. 2009;32(7):1327-1334.
6. NGSP. Factors that interfere with HbA1c test results. http://www.ngsp.org/factors.asp. Updated April 6, 2016. Accessed November 29, 2016.
7. Centers for Disease Control and Prevention. Sickle cell trait fact sheet. http://www.cdc.gov/ncbddd/sicklecell/traits.html. Accessed February 23, 2016.
8. Lorey FW, Arnopp J, Cunningham GC. Distribution of hemoglobinopathy variants by ethnicity in a multiethnic state. Genet Epidemiol. 1996;13(5):501-512.
9. McCurdy PR. 32-DFP and 51-Cr for measurement of red cell life span in abnormal hemoglobin syndromes. Blood. 1969;33(2):214-224.
10. Barbedo MMR,McCurdy PR. Red cell life span in sickle cell trait. Acta Haematol. 1974;51(6):339-343.
11. Suarez RM, Buso R, Meyer LM, Olavarrieta ST. Distribution of abnormal hemoglobins in Puerto Rico and survival studies of red blood cells using Cr51. Blood. 1959;14(3):255-261.
12. Weinstein IM, Spurling CL, Klein H, Necheles TF. Radioactive sodium chromate for the study of survival of red blood cells, III; the abnormal hemoglobin syndromes. Blood. 1954;9(12):1155-1164.
13. Friedman GD, Cutter GR, Donahue RP, et al. CARDIA: study design, recruitment, and some characteristics of the examined subjects. J Clin Epidemiol. 1988;41(11):1105-1116.
14. Taylor HA Jr, Wilson JG, Jones DW, et al. Toward resolution of cardiovascular health disparities in African Americans: design and methods of the Jackson Heart Study. Ethn Dis. 2005;15(4)(suppl 6):S6-S4, 17.
15. CARDIA year 20 exam protocol. http://www.cardia.dopm.uab.edu/images/more/pdf /CARDIAY20Protocol.pdf. Accessed January 29,2016.
16. CARDIA year 25 exam protocol.http://www.cardia.dopm.uab.edu/images/more/CARDIA-Y25-Exam-Protocol-v2012-03-01.pdf. Accessed January 29, 2016.
17. Carpenter MA, Crow R, Steffes M, et al. Laboratory, reading center, and coordinating center data management methods in the Jackson Heart Study. Am J Med Sci. 2004;328(3):131-144.
18. Levey AS, Stevens LA, Schmid CH, et al; CKD-EPI (Chronic Kidney Disease Epidemiology Collaboration). A new equation to estimate glomerular filtration rate. Ann Intern Med. 2009; 150(9):604-612.
19. MillerWG,Myers GL, Ashwood ER, et al. State of the art in trueness and interlaboratory harmonization for 10 analytes in general clinical chemistry. Arch Pathol Lab Med. 2008;132(5):838-846.
20. Sacks DB, Arnold M, Bakris GL, et al; National Academy of Clinical Biochemistry; Evidence-Based Laboratory Medicine Committee of the American Association for Clinical Chemistry. Guidelines and recommendations for laboratory analysis in the diagnosis and management of diabetes mellitus. Diabetes Care. 2011;34(6):e61-e99.
21. American Diabetes Association. Classification and dianosis of diabetes. Diabetes Care. 2016;39 (suppl 1):S13-S22.
22. Hanley JA, Negassa A, Edwardes MD, Forrester JE. Statistical analysis of correlated data using generalized estimating equations: an orientation. Am J Epidemiol. 2003;157(4):364-375.
23. Selvin E, Zhu H, Brancati FL. Elevated A1c in adults without a history of diabetes in the US. Diabetes Care. 2009;32(5):828-833.
24. Kim C, Bullard KM, Herman WH, Beckles GL. Association between iron deficiency and A1c levels among adults without diabetes in the National Health and Nutrition Examination Survey, 1999-2006. Diabetes Care. 2010;33(4):780-785.
25. Kang SH, Jung J, Choi EW, Cho KH, Park JW, Do JY. HbA1c levels are associated with chronic kidney disease in a non-diabetic adult population: a nationwide survey (KNHANES 2011-2013). PLoS One. 2015;10(12):e0145827.
26. Hardin JW. Generalized Estimating Equations (GEE): Encyclopedia of Statistics in Behavioral Science. Hoboken, NJ: John Wiley & Sons Ltd; 2005.
27. Spiegelman D, Hertzmark E. Easy SAS calculations for risk or prevalence ratios and differences. Am J Epidemiol. 2005;162(3):199-200.
28. Zou G. A modified poisson regression approach to prospective studies with binary data. Am J Epidemiol. 2004;159(7):702-706.
29. Gonen M. Analyzing Receiver Operating Characteristic Curves With SAS. Cary, NC: SAS Institute Inc; 2007.
30. McClish DK. Comparing the areas under more than two independent ROC curves. Med Decis Making. 1987;7(3):149-155.
31. Lin CN, Emery TJ, Little RR, et al. Effects of hemoglobin C, D, E, and S traits on measurements of HbA1c by six methods. Clin Chim Acta. 2012; 413(7-8):819-821.
32. Bleyer AJ, Vidya S, Sujata L, et al. The impact of sickle cell trait on glycated haemoglobin in diabetes mellitus. Diabet Med. 2010;27(9):1012-1016.
33. Sumner AE, Thoreson CK, O'Connor MY, et al. Detection of abnormal glucose tolerance in Africans is improved by combining A1c with fasting glucose: the Africans in America Study. Diabetes Care. 2015; 38(2):213-219.
34. Menke A, Casagrande S, Geiss L, Cowie CC. Prevalence of and trends in diabetes among adults in the United States, 1988-2012. JAMA. 2015;314 (10):1021-1029.
35. Karter AJ, Ferrara A, Liu JY, Moffet HH, Ackerson LM, Selby JV. Ethnic disparities in diabetic complications in an insured population. JAMA. 2002;287(19):2519-2527.
36. Zhang X, Saaddine JB, Chou CF, et al. Prevalence of diabetic retinopathy in the United States, 2005-2008. JAMA. 2010;304(6):649-656.
37. Ziemer DC, Kolm P,WeintraubWS, et al. Glucose-independent, black-white differences in hemoglobin A1c levels: a cross-sectional analysis of 2 studies. Ann Intern Med. 2010;152(12):770-777.
38. Kirk JK, D'Agostino RB Jr, Bell RA, et al. Disparities in HbA1c levels between African-American and non-Hispanic white adults with diabetes: ameta-analysis. Diabetes Care. 2006;29(9):2130-2136.
39. Naik RP, Derebail VK, Grams ME, et al. Association of sickle cell trait with chronic kidney disease and albuminuria in African Americans. JAMA. 2014;312(20):2115-2125.