Xiaoyuan Bao1, Xin Tian2, Chao Yang3, Yan Li4, Yonghua Hu5. 1. Medical Informatics Center, Peking University Health Science Center, 38 Xueyuan Road, Beijing 100191, China. Electronic address: xybao@pku.edu.cn. 2. Department of Health Policy and Administration, Peking University Health Science Center, 38 Xueyuan Road, Beijing 100191, China. Electronic address: tianxin950811@foxmail.com. 3. Renal Division, Peking University First Hospital, Peking Uni versity Institute of Nephrology, No. 8 Xishiku Street, Xicheng District, Beijing 100034, China. Electronic address: 512690961@qq.com. 4. Department of Hospital Management, Peking University Health Science Center, 38 Xueyuan Road, Beijing 100191, China. Electronic address: Liyan8290@163.com. 5. Medical Informatics Center, Peking University Health Science Center, 38 Xueyuan Road, Beijing 100191, China; Department of Epidemiology and Biostatistics, Peking University Health Science Center, 38 Xueyuan Road, Beijing 100191, China. Electronic address: yhhu@bjmu.edu.cn.
Abstract
BACKGROUND: We aimed to study the short-term association between air pollutants and hospitalization for epilepsy in 47 hospitals from 10 cities in eastern China. METHOD: We identified hospital epilepsy admissions in 2014 and 2015. A conditional Poisson regression model was used to examine the association between air pollutants and hospital admission, with temperature and relative humidity adjusted using the natural spline (ns) function. Pollutants included sulfur dioxide (SO2), nitrogen dioxide (NO2), carbon monoxide (CO), and particulate matter (PM). The association was stratified by sex, age, and geographic region in single-pollutant and two-pollutant models. RESULTS: An interquartile (IQR) increase of NO2 and CO on the concurrent day is correlated with an increased admission of 2.0% (0.5%, 3.6%) and 1.1% (0.1%, 2.1%), respectively. The association is stronger in children (≤18 years) and in northern China, but did not vary with sex. A positive association was also observed on the previous day for CO [1.5%, 95% confidence interval (CI): 0.3%, 2.6%], NO2 (2.5%, 95% CI: 0.6%, 4.3%), and PM2.5 (1.32%, 95% CI: 0.16%, 2.48%). Moving average concentration of 7 days for all pollutants was associated with decreased admission (CO: -1.29%, NO2: -0.4.69%, SO2:-2.12%, PM2.5:-0.98%, PM10:-1.70%). CONCLUSION: Exposures to NO2 and CO on concurrent days, and PM2.5 on the previous day, are associated with increased epilepsy hospitalization, whereas cumulative exposure appeared protective.
BACKGROUND: We aimed to study the short-term association between air pollutants and hospitalization for epilepsy in 47 hospitals from 10 cities in eastern China. METHOD: We identified hospital epilepsy admissions in 2014 and 2015. A conditional Poisson regression model was used to examine the association between air pollutants and hospital admission, with temperature and relative humidity adjusted using the natural spline (ns) function. Pollutants included sulfur dioxide (SO2), nitrogen dioxide (NO2), carbon monoxide (CO), and particulate matter (PM). The association was stratified by sex, age, and geographic region in single-pollutant and two-pollutant models. RESULTS: An interquartile (IQR) increase of NO2 and CO on the concurrent day is correlated with an increased admission of 2.0% (0.5%, 3.6%) and 1.1% (0.1%, 2.1%), respectively. The association is stronger in children (≤18 years) and in northern China, but did not vary with sex. A positive association was also observed on the previous day for CO [1.5%, 95% confidence interval (CI): 0.3%, 2.6%], NO2 (2.5%, 95% CI: 0.6%, 4.3%), and PM2.5 (1.32%, 95% CI: 0.16%, 2.48%). Moving average concentration of 7 days for all pollutants was associated with decreased admission (CO: -1.29%, NO2: -0.4.69%, SO2:-2.12%, PM2.5:-0.98%, PM10:-1.70%). CONCLUSION: Exposures to NO2 and CO on concurrent days, and PM2.5 on the previous day, are associated with increased epilepsy hospitalization, whereas cumulative exposure appeared protective.
Authors: Omar Hahad; Jos Lelieveld; Frank Birklein; Klaus Lieb; Andreas Daiber; Thomas Münzel Journal: Int J Mol Sci Date: 2020-06-17 Impact factor: 5.923
Authors: Zhuying Chen; Wenhua Yu; Rongbin Xu; Philippa J Karoly; Matias I Maturana; Daniel E Payne; Lyra Li; Ewan S Nurse; Dean R Freestone; Shanshan Li; Anthony N Burkitt; Mark J Cook; Yuming Guo; David B Grayden Journal: Epilepsia Date: 2022-04-26 Impact factor: 6.740