TY - JOUR
T1 - Fine particulate air pollution is associated with higher vulnerability to atrial fibrillation-the apacr study
AU - Liao, Duanping
AU - Shaffer, Michele L.
AU - He, Fan
AU - Rodriguez-Colon, Sol
AU - Wu, Rongling
AU - Whitsel, Eric A.
AU - Bixler, Edward O.
AU - Cascio, Wayne E.
N1 - Funding Information:
Received 8 September 2010; accepted 14 November 2010. This study is funded by NIEHS (1 R01 ES014010). The authors thank David Mortara of Mortara Instrument, Inc., for providing the SuperECG software for the analysis of the electrocardiographic data. Address correspondence to Duanping Liao, MD, PhD, Department of Public Health Sciences, Penn State University College of Medicine, 600 Centerview Dr. Suite 2200, A210, Hershey, PA 17033, USA. E-mail: [email protected]
PY - 2011
Y1 - 2011
N2 - The acute effects and the time course of fine particulate pollution (PM2.5) on atrial fibrillation/flutter (AF) predictors, including P-wave duration, PR interval duration, and P-wave complexity, were investigated in a community-dwelling sample of 106 nonsmokers. Individual-level 24-h beat-to-beat electrocardiogram (ECG) data were visually examined. After identifying and removing artifacts and arrhythmic beats, the 30-min averages of the AF predictors were calculated. A personal PM2.5 monitor was used to measure individual-level, real-time PM2.5 exposures during the same 24-h period, and corresponding 30-min average PM2.5 concentration were calculated. Under a linear mixed-effects modeling framework, distributed lag models were used to estimate regression coefficients (βs) associating PM2.5 with AF predictors. Most of the adverse effects on AF predictors occurred within 1.5-2 h after PM2.5 exposure. The multivariable adjusted βs per 10-μg/m3 rise in PM 2.5 at lag 1 and lag 2 were significantly associated with P-wave complexity. PM 2.5 exposure was also significantly associated with prolonged PR duration at lag 3 and lag 4. Higher PM2.5 was found to be associated with increases in P-wave complexity and PR duration. Maximal effects were observed within 2 h. These findings suggest that PM2.5 adversely affects AF predictors; thus, PM2.5 may be indicative of greater susceptibility to AF.
AB - The acute effects and the time course of fine particulate pollution (PM2.5) on atrial fibrillation/flutter (AF) predictors, including P-wave duration, PR interval duration, and P-wave complexity, were investigated in a community-dwelling sample of 106 nonsmokers. Individual-level 24-h beat-to-beat electrocardiogram (ECG) data were visually examined. After identifying and removing artifacts and arrhythmic beats, the 30-min averages of the AF predictors were calculated. A personal PM2.5 monitor was used to measure individual-level, real-time PM2.5 exposures during the same 24-h period, and corresponding 30-min average PM2.5 concentration were calculated. Under a linear mixed-effects modeling framework, distributed lag models were used to estimate regression coefficients (βs) associating PM2.5 with AF predictors. Most of the adverse effects on AF predictors occurred within 1.5-2 h after PM2.5 exposure. The multivariable adjusted βs per 10-μg/m3 rise in PM 2.5 at lag 1 and lag 2 were significantly associated with P-wave complexity. PM 2.5 exposure was also significantly associated with prolonged PR duration at lag 3 and lag 4. Higher PM2.5 was found to be associated with increases in P-wave complexity and PR duration. Maximal effects were observed within 2 h. These findings suggest that PM2.5 adversely affects AF predictors; thus, PM2.5 may be indicative of greater susceptibility to AF.
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U2 - 10.1080/15287394.2011.556056
DO - 10.1080/15287394.2011.556056
M3 - Article
C2 - 21480044
AN - SCOPUS:79956365005
SN - 1528-7394
VL - 74
SP - 693
EP - 705
JO - Journal of Toxicology and Environmental Health - Part A: Current Issues
JF - Journal of Toxicology and Environmental Health - Part A: Current Issues
IS - 11
ER -