scholarly journals Heritability of Body Composition Measured by DXA in the Diabetes Heart Study

2005 ◽  
Vol 13 (2) ◽  
pp. 312-319 ◽  
Author(s):  
Fang-Chi Hsu ◽  
Leon Lenchik ◽  
Barbara J. Nicklas ◽  
Kurt Lohman ◽  
Thomas C. Register ◽  
...  
Keyword(s):  
Body Composition ◽  
Heart Study ◽  
Diabetes Heart Study

Abstract P210: Calcified Atherosclerotic Plaque and All Cause Mortality in Diabetes: Diabetes Heart Study

Circulation ◽  
2012 ◽  
Vol 125 (suppl_10) ◽  
Author(s):  
Subhashish Agarwal ◽  
David M Herrington ◽  
Amanda J Cox ◽  
Neal Jorgensen ◽  
Jianzhao Xu ◽  
...  
Keyword(s):  
Subclinical Atherosclerosis ◽  
Principal Component ◽  
Plaque Burden ◽  
Chi Square ◽  
Prediction Of Mortality ◽  
Heart Study ◽  
Calcified Plaque ◽  
All Cause Mortality ◽  
Diabetes Heart Study ◽  
Vascular Beds

Introduction Coronary artery calcium (CAC), a measure of atherosclerosis predicts mortality in both diabetes and the general population. The incremental utility of measuring atherosclerosis across multiple vascular beds beyond CAC for the prediction of mortality has not been reported. In this study we derived a composite atherosclerosis score (CAS) from multiple vascular beds and compared it with CAC in predicting all-cause mortality. We hypothesized that this composite score will be significantly better than CAC in predicting mortality. Methods A total of 803 participants, ages 39–86, with complete data on diabetes and vascular imaging in the Diabetes Heart Study (DHS) were followed for an average of 7.4 years. Computed tomography (CT) scans were performed at baseline to obtain measures of carotid (CAAC), coronary (CAC) and abdominal aorta (AAC) Agatston scores. A principal component analysis using studentized residuals of log transformed (CAAC+1), (CAC+1), and (AAC+1) adjusting for age, race, and gender was performed. We selected the first principal component as the CAS. Seven-year risk estimates for mortality were obtained using logistic regression models. Model 1 included age, gender, smoking, systolic blood pressure, antihypertensive medication use, total and high-density lipoprotein cholesterol, and ethnicity and CAS. Model 2 included these risk factors plus CAC. We compared the estimation of mortality in Model 1 with CAS vs. Model 2 with CAC using chi-square values. Results Overall, 14% (116/803) of participants died during follow-up. CAS explained 70% of the variance, (eigenvalue of 2.1 with loading, CAAC, 0.57; CAC, 0.57; and AAC, 0.59). After adjusting for potential confounders, the odds ratio (95% CI) of all-cause mortality for 1-standard deviation (SD) increment was 2.12 (1.64–2.78) for CAS and 2.38 (1.77–3.35) for CAC. The area under the curve (chi-square value) with CAS or CAC to predict mortality was 0.76 (36) vs 0.76 (37) respectively. Conclusion Subclinical atherosclerosis, as measured by CT determined calcified plaque burden has increasing evidence supporting its role as a tool to stratify future risk for mortality. Here we demonstrated that the diagnostic accuracy between CAS and CAC are comparable and the predictive value of CAC alone for mortality is not further enhanced by inclusion of calcified plaque burden in carotid or abdominal aortic territories.

Factors associated with baseline and serial changes in circulating NT-proBNP and high-sensitivity cardiac troponin T in a population-based cohort (Dallas Heart Study)

2021 ◽  
Author(s):  
Christopher W Puleo ◽  
Colby R Ayers ◽  
Sonia Garg ◽  
Ian J Neeland ◽  
Alana A Lewis ◽  
...  
Keyword(s):  
Body Composition ◽  
Cardiac Troponin ◽  
Troponin T ◽  
High Sensitivity ◽  
Left Ventricular ◽  
Cardiac Troponin T ◽  
C Reactive Protein ◽  
Reactive Protein ◽  
Heart Study ◽  
Dallas Heart Study

Aim: N-terminal pro-B-type natriuretic peptide (NT-proBNP) and high-sensitivity cardiac troponin T (hs-cTnT) associate with structural heart disease and heart failure risk in individuals without known cardiovascular disease (CVD). However, few data are available regarding whether factors influencing levels of these two biomarkers are similar or distinct. We performed serial measurement of NT-proBNP and hs-cTnT in a contemporary multiethnic cohort with extensive phenotyping, with the goal of identifying their respective biological determinants in a population without known or suspected CVD. Methods: We evaluated 1877 participants of the Dallas Heart Study who had NT-proBNP and hs-cTnT measured and were free from clinical CVD at the each of its two examinations (2000–2002 and 2007–2009). Variables collected included demographic and risk factors, high-sensitivity C-reactive protein, body composition via dual-energy x-ray absorptiometry, coronary artery calcium by computed tomography, and cardiac dimensions and function by cardiac MRI. Linear regression was used to identify associations of these factors with each biomarker at baseline and with changes in biomarkers over follow-up. Results: NT-proBNP and hs-cTnT were poorly correlated at baseline (Spearman rho 0.083, p = 0.015), with only moderate correlation between change values (rho 0.18, p < 0.001). hs-cTnT positively associated and NT-proBNP inversely associated with male gender and black race. At baseline, both NT-proBNP and hs-cTnT associated with left ventricular end-diastolic volume and wall thickness, but only NT-proBNP associated with left atrial size. Changes in cardiac dimensions between phases were more strongly associated with changes in NT-proBNP than hs-cTnT. NT-proBNP was more strongly associated with high-sensitivity C-reactive protein and measures of body composition than hs-cTnT. Conclusion: Among individuals without CVD in the general population, NT-proBNP and hs-cTnT are nonredundant biomarkers that are differentially associated with demographic and cardiac factors. These findings indicate that hs-cTnT and NT-proBNP may reflect different pathophysiological pathways.

Mo-P2:196 A genome scan for subclinical cardiovascular disease in the diabetes heart study

2006 ◽  
Vol 7 (3) ◽  
pp. 89
Author(s):  
D.W. Bowden ◽  
A.B. Lehtinen ◽  
J.T. Ziegler ◽  
D. Herrington ◽  
L.E. Wagenknecht ◽  
...  
Keyword(s):  
Cardiovascular Disease ◽  
Genome Scan ◽  
Heart Study ◽  
A Genome ◽  
Subclinical Cardiovascular Disease ◽  
Diabetes Heart Study

scholarly journals Kidney Disease and Cognitive Function: African American-Diabetes Heart Study MIND

2014 ◽  
Vol 40 (3) ◽  
pp. 200-207 ◽  
Author(s):  
Nicholette D. Palmer ◽  
Kaycee M. Sink ◽  
Susan Carrie Smith ◽  
Jianzhao Xu ◽  
Donald W. Bowden ◽  
...  
Keyword(s):  
African American ◽  
Cognitive Function ◽  
Kidney Disease ◽  
Heart Study ◽  
Diabetes Heart Study

scholarly journals Regional Adipose Tissue Associations With Calcified Atherosclerotic Plaque: African American-Diabetes Heart Study

Obesity ◽  
2010 ◽  
Vol 18 (10) ◽  
pp. 2004-2009 ◽  
Author(s):  
Jasmin Divers ◽  
Lynne E. Wagenknecht ◽  
Donald W. Bowden ◽  
J. Jeffrey Carr ◽  
R. Caresse Hightower ◽  
...  
Keyword(s):  
Adipose Tissue ◽  
African American ◽  
Atherosclerotic Plaque ◽  
Heart Study ◽  
Diabetes Heart Study

scholarly journals A Comparison of Risk Factors for Calcified Atherosclerotic Plaque in the Coronary, Carotid, and Abdominal Aortic Arteries: The Diabetes Heart Study

2007 ◽  
Vol 166 (3) ◽  
pp. 340-347 ◽  
Author(s):  
L. E. Wagenknecht ◽  
C. D. Langefeld ◽  
B. I. Freedman ◽  
J. J. Carr ◽  
D. W. Bowden
Keyword(s):  
Risk Factors ◽  
Atherosclerotic Plaque ◽  
Abdominal Aortic ◽  
Heart Study ◽  
Diabetes Heart Study

Genome-wide linkage scans for renal function and albuminuria in Type 2 diabetes mellitus: the Diabetes Heart Study

2008 ◽  
Vol 25 (3) ◽  
pp. 268-276 ◽  
Author(s):  
B. I. Freedman ◽  
D. W. Bowden ◽  
S. S. Rich ◽  
J. Xu ◽  
L. E. Wagenknecht ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Renal Function ◽  
Genome Wide ◽  
Heart Study ◽  
Diabetes Heart Study

scholarly journals Predictors of all-cause and cardiovascular disease mortality in type 2 diabetes: Diabetes Heart Study

2015 ◽  
Vol 7 (1) ◽  
Author(s):  
Laura M. Raffield ◽  
Fang-Chi Hsu ◽  
Amanda J. Cox ◽  
J. Jeffrey Carr ◽  
Barry I. Freedman ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Cardiovascular Disease ◽  
Cardiovascular Disease Mortality ◽  
Disease Mortality ◽  
Heart Study ◽  
Diabetes Heart Study
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