Liu Hui, Tian Yaohua, Song Jing, Cao Yaying, Xiang Xiao, Huang Chao, Li Man, Hu Yonghua
Medical Informatics Center, Peking University, Beijing, China; Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.
Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.
Am J Cardiol. 2018 Mar 1;121(5):628-633. doi: 10.1016/j.amjcard.2017.11.039. Epub 2017 Dec 11.
There is growing interest in the association between ambient air pollution and congestive heart failure (CHF), but research data from developing countries are very limited. The primary aim of this study was to examine the association between short-term exposure to air pollution and hospital admission for CHF in China. A time-stratified case-crossover study was conducted between 2014 and 2015 in 26 large Chinese cities among 105,501 CHF hospitalizations. Conditional logistic regression models were applied to estimate the percentage changes in CHF admissions in relation to per interquartile range increases in air pollutant concentrations. Air pollution was positively associated with CHF hospitalizations. An interquartile range increase in fine particulate, particulate matter less than 10 µm in aerodynamic diameter, sulfur dioxide, nitrogen dioxide, carbon monoxide, and ozone concentrations on the current day corresponded to 1.2% (95% confidence interval [CI] 0.5%, 1.8%), 1.3% (95% CI 0.5%, 2.0%), 1.0% (95% CI 0.2%, 1.7%), 1.6% (95% CI 0.6%, 2.5%), 1.2% (95% CI 0.5%, 1.9%), and 0.4% (95% CI -0.9%, 1.7%) increases in CHF admissions, respectively. In conclusion, our findings contribute to the limited scientific literature concerning the effects of air pollution on CHF risk for high-exposure settings typical in developing countries, which may have significant public health implications for prevention of CHF in China.
环境空气污染与充血性心力衰竭(CHF)之间的关联正受到越来越多的关注,但来自发展中国家的研究数据非常有限。本研究的主要目的是探讨中国短期暴露于空气污染与因CHF住院之间的关联。2014年至2015年期间,在中国26个大城市对105,501例CHF住院病例进行了时间分层病例交叉研究。应用条件逻辑回归模型来估计CHF住院率相对于空气污染物浓度每增加一个四分位数间距的百分比变化。空气污染与CHF住院呈正相关。当日细颗粒物、空气动力学直径小于10微米的颗粒物、二氧化硫、二氧化氮、一氧化碳和臭氧浓度每增加一个四分位数间距,CHF住院率分别相应增加1.2%(95%置信区间[CI] 0.5%,1.8%)、1.3%(95% CI 0.5%,2.0%)、1.0%(95% CI 0.2%,1.7%)、1.6%(95% CI 0.6%,2.5%)、1.2%(95% CI 0.5%,1.9%)和0.4%(95% CI -0.9%,1.7%)。总之,我们的研究结果为有关空气污染对发展中国家典型高暴露环境中CHF风险影响的有限科学文献做出了贡献,这可能对中国预防CHF具有重大的公共卫生意义。