Background: Adverse cardiovascular events have been linked with PM2.5 exposure obtained primarily from air
quality monitors, which rarely co-locate with participant residences. Modeled PM2.5 predictions at finer resolution
may more accurately predict residential exposure; however few studies have compared results across
different exposure assessment methods.
Methods: We utilized a cohort of 5679 patients who had undergone a cardiac catheterization between
2002–2009 and resided in NC. Exposure to PM2.5 for the year prior to catheterization was estimated using data
from air quality monitors (AQS), Community Multiscale Air Quality (CMAQ) fused models at the census tract and
12 km spatial resolutions, and satellite-based models at 10 km and 1 km resolutions. Case status was either a
coronary artery disease (CAD) index>23 or a recent myocardial infarction (MI). Logistic regression was used to
model odds of having CAD or an MI with each 1-unit (μg/m3) increase in PM2.5, adjusting for sex, race, smoking
status, socioeconomic status, and urban/rural status.
Results: We found that the elevated odds for CAD>23 and MI were nearly equivalent for all exposure assessment
methods. One difference was that data from AQS and the census tract CMAQ showed a rural/urban difference
in relative risk, which was not apparent with the satellite or 12 km-CMAQ models.
Conclusions: Long-term air pollution exposure was associated with coronary artery disease for both modeled and
monitored data. This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: Clinical data are located in:
C:\Users\rdevlin\OneDrive - Environmental Protection Agency (EPA)\Excel Files\Cathgen
Satellite data are located in :
C:\Users\rdevlin\OneDrive - Environmental Protection Agency (EPA)\Excel Files\New Ikm Satellite Data
C:\Users\rdevlin\OneDrive - Environmental Protection Agency (EPA)\Excel Files\Satellite Data
CMAQ data are located in C:\Users\rdevlin\OneDrive - Environmental Protection Agency (EPA)\Excel Files\CMAQ Data. Format: There are two types of datasets used in this study: clinical data taken from patient records at the Duke Medical Center; and air pollution data (PM2.5) taken from a federal reference monitor located in Raleigh, CMAQ data obtained from collaborators at Georgia Tech and NERL/ORD, and satellite data obtained from collaborators at Harvard.
Metadata are in the form of Excel spreadsheets that contain columns of data that specify clinical and exposure information for each individual participating in the study.
This dataset is associated with the following publication:
McGuinn, L., C. Ward-Caviness, A. Schneider, Q. Di, A. Chudnovsky, J. Schwartz, P. Koutrakis, A. Russell, V. Garcia, W. Krause, E. Hauser, L. Neas, W. Cascio, D. Diaz-Sanchez, and R. Devlin. Fine Particulate Matter and Cardiovascular Disease: Comparison of Assessment Methods for Long-term Exposure. ENVIRONMENTAL RESEARCH. Academic Press Incorporated, Orlando, FL, USA, 159: 16-23, (2017).
