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A Comparison of Risk Estimates for the Effect of Short-Term Exposure to PM, NO2 and CO on Cardiovascular Hospitalizations and Emergency Department Visits: Effect Size Modeling of Study Findings
Ellen Kirrane 1,*

,
David Svendsgaard 1 
,
Mary Ross 1 
,
Barbara Buckley 1 
,
Allen Davis 1 
,
Doug Johns 1 
,
Dennis Kotchmar 1 
,
Thomas C. Long 1 
,
Thomas J. Luben 1 
,
Genee Smith 2 
and
Lindsay Wichers Stanek 1 
1
USEPA/ORD/NCEA, Mail Code 243B, 109 TW Alexander Drive, Research Triangle Park, NC 27709, USA
2
USEPA/ORD/NCEA, 104 Mason Farm Road, Room #344, Chapel Hill, NC 27514, USA
* Author to whom correspondence should be addressed.
Received: 15 September 2011; in revised form: 19 November 2011 / Accepted: 22 November 2011 / Published: 6 December 2011
Abstract: Although particulate matter (PM), nitrogen dioxide (NO2) and carbon monoxide (CO) typically exist as part of a complex air pollution mixture, the evidence linking these pollutants to health effects is evaluated separately in the scientific and policy reviews of the National Ambient Air Quality Standards (NAAQS). The objective of this analysis was to use meta-regression methods to model effect estimates for several individual yet correlated NAAQS pollutants in an effort to identify factors that explain differences in the effect sizes across studies and across pollutants. We expected that our consideration of the evidence for several correlated pollutants in parallel could lead to insights regarding exposure to the pollutant mixture. We focused on studies of hospital admissions for congestive heart failure (CHF) and ischemic heart disease (IHD), which have played an important role in the evaluation of the scientific evidence communicated in the PM, NO2, and CO Integrated Science Assessments (ISAs). Of the studies evaluated, 11 CHF studies and 21 IHD studies met our inclusion requirements. The size of the risk estimates was explained by factors related to the pollution mixture, study methods, and monitoring network characteristics. Our findings suggest that additional analyses focusing on understanding differences in effect sizes across geographic areas with different pollution mixtures and monitor network designs may improve our understanding of the independent and combined effects of correlated pollutants.
Keywords: hospital admissions; air pollution; PM; NO2; CO
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Cite This Article
MDPI and ACS Style
Kirrane, E.; Svendsgaard, D.; Ross, M.; Buckley, B.; Davis, A.; Johns, D.; Kotchmar, D.; Long, T.C.; Luben, T.J.; Smith, G.; Wichers Stanek, L. A Comparison of Risk Estimates for the Effect of Short-Term Exposure to PM, NO2 and CO on Cardiovascular Hospitalizations and Emergency Department Visits: Effect Size Modeling of Study Findings. Atmosphere 2011, 2, 688-701.
AMA Style
Kirrane E, Svendsgaard D, Ross M, Buckley B, Davis A, Johns D, Kotchmar D, Long TC, Luben TJ, Smith G, Wichers Stanek L. A Comparison of Risk Estimates for the Effect of Short-Term Exposure to PM, NO2 and CO on Cardiovascular Hospitalizations and Emergency Department Visits: Effect Size Modeling of Study Findings. Atmosphere. 2011; 2(4):688-701.
Chicago/Turabian Style
Kirrane, Ellen; Svendsgaard, David; Ross, Mary; Buckley, Barbara; Davis, Allen; Johns, Doug; Kotchmar, Dennis; Long, Thomas C.; Luben, Thomas J.; Smith, Genee; Wichers Stanek, Lindsay. 2011. "A Comparison of Risk Estimates for the Effect of Short-Term Exposure to PM, NO2 and CO on Cardiovascular Hospitalizations and Emergency Department Visits: Effect Size Modeling of Study Findings." Atmosphere 2, no. 4: 688-701.