Association of prediabetes by fasting glucose and/or haemoglobin A1c levels with subclinical atherosclerosis and impaired renal function: Observations from the Dallas Heart Study

Diabetes and Vascular Disease Research

Volumn 11, Issue 1, 2014, Pages 11-18

  Xing, Frank Y F ^a,b   Neeland, Ian J ^a   Gore, M Odette ^a   Ayers, Colby R ^c   Paixao, Andre R M ^a   Turer, Aslan T ^a   Berry, Jarett D ^a   Khera, Amit ^a   De Lemos, James A ^a   McGuire, Darren K ^a,c  

^a UNIVERSITY OF TEXAS SOUTHWESTERN MEDICAL CENTER   (United States)

^b UNIVERSITY OF MISSOURI KANSAS CITY SCHOOL OF MEDICINE   (United States)

^c UNIVERSITY OF TEXAS SOUTHWESTERN MEDICAL CENTER   (United States)

Author keywords

HbA1c; impaired fasting glucose; nephropathy; prediabetes; subclinical atherosclerosis

Indexed keywords

ALBUMIN; CREATININE; GLUCOSE; HEMOGLOBIN A1C;

ADULT; ALBUMIN BLOOD LEVEL; ARTERIAL WALL THICKNESS; ARTICLE; CAROTID ATHEROSCLEROSIS; CHRONIC KIDNEY DISEASE; CONFIDENCE INTERVAL; CONTROLLED STUDY; CORONARY ARTERY ATHEROSCLEROSIS; CORONARY ARTERY CALCIUM SCORE; CREATININE BLOOD LEVEL; DIET RESTRICTION; DISEASE ASSOCIATION; FEMALE; GLOMERULUS FILTRATION RATE; HUMAN; IMPAIRED GLUCOSE TOLERANCE; KIDNEY FAILURE; LOGISTIC REGRESSION ANALYSIS; MAJOR CLINICAL STUDY; MALE; MICROANGIOPATHY; MIDDLE AGED; YOUNG ADULT;

HBA1C; IMPAIRED FASTING GLUCOSE; NEPHROPATHY; PREDIABETES; SUBCLINICAL ATHEROSCLEROSIS;

ACADEMIC MEDICAL CENTERS; ADULT; ATHEROSCLEROSIS; BLOOD GLUCOSE; COHORT STUDIES; CROSS-SECTIONAL STUDIES; DIABETIC ANGIOPATHIES; DIABETIC NEPHROPATHIES; EARLY DIAGNOSIS; FEMALE; HEMOGLOBIN A, GLYCOSYLATED; HUMANS; LONGITUDINAL STUDIES; MALE; MIDDLE AGED; PREDIABETIC STATE; PREVALENCE; RENAL INSUFFICIENCY; RISK FACTORS; SEVERITY OF ILLNESS INDEX; TEXAS; URBAN HEALTH;

EID: 84890523860     PISSN: 14791641     EISSN: 17528984     Source Type: Journal    
DOI: 10.1177/1479164113514239     Document Type: Article

References (33)

1. Colagiuri S, Lee CM, Wong TY, et al. Glycemic thresholds for diabetes-specific retinopathy: implications for diagnostic criteria for diabetes. Diabetes Care. 2011 ; 34: 145-150
2. Report of the Expert Committee on the Diagnosis and Classification of Diabetes Mellitus. Diabetes Care. 2003 ; 26: S5 - S20
3. Kim SH, Chunawala L, Linde R, et al. Comparison of the 1997 and 2003 American Diabetes Association classification of impaired fasting glucose: impact on prevalence of impaired fasting glucose, coronary heart disease risk factors, and coronary heart disease in a community-based medical practice. J Am Coll Cardiol. 2006 ; 48: 293-297
4. Coutinho M, Gerstein HC, Wang Y, et al. The relationship between glucose and incident cardiovascular events. A metaregression analysis of published data from 20 studies of 95,783 individuals followed for 12.4 years. Diabetes Care. 1999 ; 22: 233-240
5. Barr EL, Boyko EJ, Zimmet PZ, et al. Continuous relationships between non-diabetic hyperglycaemia and both cardiovascular disease and all-cause mortality: the Australian Diabetes, Obesity, and Lifestyle (AusDiab) study. Diabetologia. 2009 ; 52: 415-424
6. Cederberg H, Saukkonen T, Laakso M, et al. Postchallenge glucose, A1C, and fasting glucose as predictors of type 2 diabetes and cardiovascular disease: a 10-year prospective cohort study. Diabetes Care. 2010 ; 33: 2077-2083
7. Ford ES, Zhao G, Li C. Pre-diabetes and the risk for cardiovascular disease: a systematic review of the evidence. J Am Coll Cardiol. 2010 ; 55: 1310-1317
8. Genuth S, Alberti KG, Bennett P, et al. Follow-up report on the diagnosis of diabetes mellitus. Diabetes Care. 2003 ; 26: 3160-3167
9. Hoogwerf BJ, Sprecher DL, Pearce GL, et al. Blood glucose concentrations < or = 125 mg/dl and coronary heart disease risk. Am J Cardiol. 2002 ; 89: 596-599
10. Marini MA, Succurro E, Castaldo E, et al. Cardiometabolic risk profiles and carotid atherosclerosis in individuals with prediabetes identified by fasting glucose, postchallenge glucose, and hemoglobin A1c criteria. Diabetes Care. 2012 ; 35: 1144-1149
11. Victor RG, Haley RW, Willett DL, et al. The Dallas Heart Study: a population-based probability sample for the multidisciplinary study of ethnic differences in cardiovascular health. Am J Cardiol. 2004 ; 93: 1473-1480
12. Neeland IJ, Turer AT, Ayers CR, et al. Dysfunctional adiposity and the risk of prediabetes and type 2 diabetes in obese adults. JAMA. 2012 ; 308: 1150-1159
13. Levey AS, Stevens LA, Schmid CH, et al. A new equation to estimate glomerular filtration rate. Ann Intern Med. 2009 ; 150: 604-612
14. Kramer H, Toto R, Peshock R, et al. Association between chronic kidney disease and coronary artery calcification: the Dallas Heart Study. J Am Soc Nephrol. 2005 ; 16: 507-513
15. Bild DE, Bluemke DA, Burke GL, et al. Multi-ethnic study of atherosclerosis: objectives and design. Am J Epidemiol. 2002 ; 156: 871-881
16. Agatston AS, Janowitz WR, Hildner FJ, et al. Quantification of coronary artery calcium using ultrafast computed tomography. J Am Coll Cardiol. 1990 ; 15: 827-832
17. Jain T, Peshock R, McGuire DK, et al. African Americans and Caucasians have a similar prevalence of coronary calcium in the Dallas Heart Study. J Am Coll Cardiol. 2004 ; 44: 1011-1017
18. Third Report of the NCEP Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults (Adult Treatment Panel III) final report. Circulation. 2002 ; 106: 3143-3421
19. K/DOQI clinical practice guidelines for chronic kidney disease: evaluation, classification, and stratification. Am J Kidney Dis. 2002 ; 39: S1 - S266
20. Toto RD. Microalbuminuria: definition, detection, and clinical significance. J Clin Hypertens (Greenwich). 2004 ; 6: 2-7
21. LaValley MP. Logistic regression. Circulation. 2008 ; 117: 2395-2399
22. Slinker BK, Glantz SA. Multiple linear regression: accounting for multiple simultaneous determinants of a continuous dependent variable. Circulation. 2008 ; 117: 1732-1737
23. Tsugawa Y, Mukamal KJ, Davis RB, et al. Should the hemoglobin A(1c) diagnostic cutoff differ between blacks and whites? A cross-sectional study. Ann Intern Med. 2012 ; 157: 153-159
24. Cowie CC, Rust KF, Byrd-Holt DD, et al. Prevalence of diabetes and high risk for diabetes using A1C criteria in the U.S. population in 1988-2006. Diabetes Care. 2010 ; 33: 562-568
25. Saaddine JB, Fagot-Campagna A, Rolka D, et al. Distribution of HbA(1c) levels for children and young adults in the U.S.: Third National Health and Nutrition Examination Survey. Diabetes Care. 2002 ; 25: 1326-1330
26. Moebus S, Stang A, Mohlenkamp S, et al. Association of impaired fasting glucose and coronary artery calcification as a marker of subclinical atherosclerosis in a population-based cohort - results of the Heinz Nixdorf Recall Study. Diabetologia. 2009 ; 52: 81-89
27. Lim S, Choi SH, Choi EK, et al. Comprehensive evaluation of coronary arteries by multidetector-row cardiac computed tomography according to the glucose level of asymptomatic individuals. Atherosclerosis. 2009 ; 205: 156-162
28. Loria CM, Liu K, Lewis CE, et al. Early adult risk factor levels and subsequent coronary artery calcification: the CARDIA Study. J Am Coll Cardiol. 2007 ; 49: 2013-2020
29. Rutter MK, Massaro JM, Hoffmann U, et al. Fasting glucose, obesity, and coronary artery calcification in community-based people without diabetes. Diabetes Care. 2012 ; 35: 1944-1950
30. Davis PH, Dawson JD, Riley WA, et al. Carotid intimal-medial thickness is related to cardiovascular risk factors measured from childhood through middle age: the Muscatine Study. Circulation. 2001 ; 104: 2815-2819
31. Chambless LE, Folsom AR, Clegg LX, et al. Carotid wall thickness is predictive of incident clinical stroke: the Atherosclerosis Risk in Communities (ARIC) study. Am J Epidemiol. 2000 ; 151: 478-487
32. Plantinga LC, Crews DC, Coresh J, et al. Prevalence of chronic kidney disease in US adults with undiagnosed diabetes or prediabetes. Clin J Am Soc Nephrol. 2010 ; 5: 673-682
33. Fox CS, Larson MG, Leip EP, et al. Glycemic status and development of kidney disease: the Framingham Heart Study. Diabetes Care. 2005 ; 28: 2436-2440