The Cardiovascular Health Study is a population-based, longitudinal study of risk factors for the development and progression of coronary heart disease and stroke in adults over the age of 65 years. Both risk factors established in middle-aged population and suspected risk factors are examined and include hypercholesterolemia, hypertension, glucose intolerance and diabetes, and cigarette smoking. Since atherosclerosis is prevalent in the elderly, the study focuses on factors thought to induce clinically overt disease. It does so in two ways: (1) It assesses the prediction of clinical disease from non-invasive measure of preclinical disease, such as carotid atherosclerosis, left ventricular impairment, and arrhythmias of episodes of myocardial ischemia. (2) Since cardiovascular events may occur in elderly people as a result of health or life circumstances which may have changed in the months preceding the event, the study contacts participants at frequent intervals to evaluate their status with respect to concurrent disease, social support networks, stressful life situations, diet, physical activity, and other risk factors. The study has three secondary objectives pertaining to the elderly populations: (1) to evaluate the factors associated with preclinical cardiovascular disease such as carotid atherosclerosis, left ventricular impairment and episodes of arrhythmia or myocardial ischemia; (2) to evaluate predictors of disability, institutionalization and mortality in participants who have coronary heart disease or stroke; and (3) to measure the utilization and impact of medical care services for coronary heart disease and stroke. Currently, risk associations are identified with clinical disease by the accumulation of events. Risk estimates are compared in subgroups of participants, such as women versus men, African-American versus Caucasian, those older versus younger than 75 years, or those with versus without prevalent clinical or subclinical disease. Risk estimates are compared in subtypes of disease, such as fatal versus non-fatal myocardial infarction, symptomatic versus silent myocardial ischemia, or fatal versus non-fatal stroke. Estimates are compared of longer-term (5-10 year) versus short-term (1-3 year) CVD risk. The study is also; determining whether presence or progression of subclinical disease (abnormalities detected non-invasively without signs or symptoms) are better predictors of clinical disease than traditional risk factors; identifying determinants of change in subclinical disease; identifying characteristics of subgroups at low risk for developing CVD (in whom preventive measures may be unnecessary). The contractor serves as the Echocardiography Reading Center. The duties of the Center include protocol development, instruction and supervision of the Field Centers in performance of echocardiography, measurement of parameters, and analysis and publication of data.

Project Start
1993-06-30
Project End
2000-05-31
Budget Start
1997-06-20
Budget End
1999-05-31
Support Year
Fiscal Year
1997
Total Cost
Indirect Cost
Name
Georgetown University
Department
Internal Medicine/Medicine
Type
Schools of Medicine
DUNS #
049515844
City
Washington
State
DC
Country
United States
Zip Code
20057
Lorenz, Matthias W; Gao, Lu; Ziegelbauer, Kathrin et al. (2018) Predictive value for cardiovascular events of common carotid intima media thickness and its rate of change in individuals at high cardiovascular risk - Results from the PROG-IMT collaboration. PLoS One 13:e0191172
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He, Liang; Culminskaya, Irina; Loika, Yury et al. (2018) Causal effects of cardiovascular risk factors on onset of major age-related diseases: A time-to-event Mendelian randomization study. Exp Gerontol 107:74-86
Hammond, Christa A; Blades, Natalie J; Chaudhry, Sarwat I et al. (2018) Long-Term Cognitive Decline After Newly Diagnosed Heart Failure: Longitudinal Analysis in the CHS (Cardiovascular Health Study). Circ Heart Fail 11:e004476
Yashin, Anatoliy I; Fang, Fang; Kovtun, Mikhail et al. (2018) Hidden heterogeneity in Alzheimer's disease: Insights from genetic association studies and other analyses. Exp Gerontol 107:148-160
Wild, Philipp S; Felix, Janine F; Schillert, Arne et al. (2017) Large-scale genome-wide analysis identifies genetic variants associated with cardiac structure and function. J Clin Invest 127:1798-1812
Massera, Daniele; Xu, Shuo; Bartz, Traci M et al. (2017) Relationship of bone mineral density with valvular and annular calcification in community-dwelling older people: The Cardiovascular Health Study. Arch Osteoporos 12:52
Garimella, Pranav S; Bartz, Traci M; Ix, Joachim H et al. (2017) Urinary Uromodulin and Risk of Urinary Tract Infections: The Cardiovascular Health Study. Am J Kidney Dis 69:744-751
Lorenz, Matthias W; Abdi, Negin Ashtiani; Scheckenbach, Frank et al. (2017) Automatic identification of variables in epidemiological datasets using logic regression. BMC Med Inform Decis Mak 17:40

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