on October 27, 2005
Published online before print October 27, 2005, doi: 10.1161/01.STR.0000189687.78760.47
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Submitted on August 5, 2005
From the Cardiovascular Epidemiology Research Unit (G.A.W., M.A.M.), Cardiovascular Division, Department of Medicine, Beth Israel Deaconess Medical Center, and Departments of Environmental Health (G.A.W., J.S., M.A.M.) and Epidemiology (J.S., M.A.M.), Harvard School of Public Health, Boston, Mass. * To whom correspondence should be addressed. E-mail: gwelleni{at}bidmc.harvard.edu.
Background and Purpose--The association between short-term elevations in ambient air particles and increased cardiovascular morbidity and mortality is well documented. Ambient particles may similarly increase the risk of stroke. Methods--We evaluated the association between daily levels of respirable particulate matter (aerodynamic diameter Results--Ischemic (n=155 503) and hemorrhagic (19 314) stroke admissions were examined separately. For ischemic stroke, an interquartile range increase in PM10 was associated with a 1.03% (95% CI, 0.04% to 2.04%) increase in admissions on the same day only. Similar results were observed with CO, NO2, and SO2. For hemorrhagic stroke, no association was observed with any pollutant 0 to 2 days before admission. Conclusions--These results suggest that elevations in ambient particles may transiently increase the risk of ischemic, but not hemorrhagic, stroke. Studies with more accurate assessment of timing of stroke onset are necessary to confirm or refute these findings.
Accepted on August 25, 2005
Air Pollution and Hospital Admissions for Ischemic and Hemorrhagic Stroke Among Medicare Beneficiaries
Gregory A. Wellenius ScD*;
10 µm, PM10) and hospital admission for ischemic and hemorrhagic stroke among Medicare recipients (age 
65 years) in 9 US cities using a 2-stage hierarchical model. In the first stage, we applied the time-stratified case-crossover design to estimate the effect of PM10 in each city. We used a 3-day unconstrained, distributed lag model to simultaneously estimate the effect of PM10 0 to 2 days before the admission day and controlled for meteorological covariates in all of the models. In the second stage, we used random-effects metaanalytic techniques to combine the city-specific effect estimates.
Key words: ischemic stroke • hemorrhagic stroke • air pollution • environmental exposure • epidemiology
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