Abstract

The study of cardiovascular disease (CVD) is complex and involves rapidly evolving technologies that enable detection and quantification of subclinical disease over time. Improved analysis of cardiovascular cohort data will result in better identification of epidemiological predictors of cardiovascular disease, improved risk stratification and fewer misleading studies due to inappropriate analysis.
The aims of this project are designed to address current methodological problems facing cardiovascular disease researchers. Our goal is to develop novel statistical tools that can help answer new scientific questions using data that has previously been collected by existing NIH-funded studies. We will illustrate our methods with data from two NHLBI-funded prospective cohort studies: The Multi-Ethnic Study of Atherosclerosis (MESA) and The Cardiovascular Health Study (CHS), although the methods and models are generally applicable to many studies. Our grant will address statistical problems across two broad aspects of cardiovascular research where innovative analysis will allow for better use of the information contained in cardiovascular cohort studies. First, we propose new models to handle the methodologic challenge of medication use when studying biomarker associations. Secondly, we develop improved methods for analysis of coronary artery calcium that allow us make better use of the information from existing scans.

Public Health Relevance

Improved analysis of cardiovascular cohort data will result in better identification of epidemiological predictors of cardiovascular disease, improved risk stratification and fewer misleading studies due to inappropriate analysis. This project will both bring cutting edge statistical techniques into cardiovascular research and foster the development of new statistical techniques designed to solve current methodological problems facing cardiovascular disease researchers.

  Funding Agency

Agency
National Institute of Health (NIH)
Institute
National Heart, Lung, and Blood Institute (NHLBI)
Type
Research Project (R01)
Project #
5R01HL103729-02
Application #
8274692
Study Section
Cardiovascular and Sleep Epidemiology (CASE)
Program Officer
Wolz, Michael
Project Start
2011-06-07
Project End
2014-05-31
Budget Start
2012-06-01
Budget End
2013-05-31
Support Year
2
Fiscal Year
2012
Total Cost
$186,611
Indirect Cost
$61,611

  Institution

Name
University of Washington
Department
Biostatistics & Other Math Sci
Type
Schools of Public Health
DUNS #
605799469
City
Seattle
State
WA
Country
United States
Zip Code
98195

  Publications

Nance, Robin; Delaney, Joseph; McEvoy, John W et al. (2017) Smoking intensity (pack/day) is a better measure than pack-years or smoking status for modeling cardiovascular disease outcomes. J Clin Epidemiol 81:111-119
Alcántara, Carmela; Biggs, Mary L; Davidson, Karina W et al. (2016) Sleep Disturbances and Depression in the Multi-Ethnic Study of Atherosclerosis. Sleep 39:915-25
McClelland, Robyn L; Jorgensen, Neal W; Budoff, Matthew et al. (2015) 10-Year Coronary Heart Disease Risk Prediction Using Coronary Artery Calcium and Traditional Risk Factors: Derivation in the MESA (Multi-Ethnic Study of Atherosclerosis) With Validation in the HNR (Heinz Nixdorf Recall) Study and the DHS (Dallas Heart Stu J Am Coll Cardiol 66:1643-53
Spieker, Andrew J; Delaney, Joseph A C; McClelland, Robyn L (2015) Evaluating the treatment effects model for estimation of cross-sectional associations between risk factors and cardiovascular biomarkers influenced by medication use. Pharmacoepidemiol Drug Saf 24:1286-96
Yeboah, Joseph; Delaney, Joseph A; Nance, Robin et al. (2014) Mediation of cardiovascular risk factor effects through subclinical vascular disease: the Multi-Ethnic Study of Atherosclerosis. Arterioscler Thromb Vasc Biol 34:1778-83
Lefebvre, Geneviève; Delaney, Joseph A; McClelland, Robyn L (2014) Extending the Bayesian Adjustment for Confounding algorithm to binary treatment covariates to estimate the effect of smoking on carotid intima-media thickness: the Multi-Ethnic Study of Atherosclerosis. Stat Med 33:2797-813
Yeboah, Joseph; Erbel, Raimund; Delaney, Joseph Chris et al. (2014) Development of a new diabetes risk prediction tool for incident coronary heart disease events: the Multi-Ethnic Study of Atherosclerosis and the Heinz Nixdorf Recall Study. Atherosclerosis 236:411-7
Jorgensen, Neal W; Sibley, Christopher T; McClelland, Robyn L (2013) Using imputed pre-treatment cholesterol in a propensity score model to reduce confounding by indication: results from the multi-ethnic study of atherosclerosis. BMC Med Res Methodol 13:81
Bauer, Marcus; Delaney, Joseph A C; Möhlenkamp, Stefan et al. (2013) Comparison of factors associated with carotid intima-media thickness in the Multi-ethnic Study of Atherosclerosis (MESA) and the Heinz Nixdorf Recall Study (HNR). J Am Soc Echocardiogr 26:667-73
McClelland, Robyn L; Jorgensen, Neal W; Post, Wendy S et al. (2013) Methods for estimation of disparities in medication use in an observational cohort study: results from the Multi-Ethnic Study of Atherosclerosis. Pharmacoepidemiol Drug Saf 22:533-41

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