Chen Shih-Wei, Lin Han-Jie, Tsai Stella Chin-Shaw, Lin Cheng-Li, Hsu Chung Y, Hsieh Tsai-Ling, Chen Chuan-Mu, Chang Kuang-Hsi
Department of Life Sciences and Ph.D. Program in Translational Medicine, National Chung Hsing University, Taichung 402, Taiwan.
Department of Otolaryngology, Tungs' Taichung MetroHarbor Hospital, Taichung 435, Taiwan.
Toxics. 2022 Apr 1;10(4):173. doi: 10.3390/toxics10040173.
Air pollution triggers a tissue-specific inflammatory response. However, studies on the association between exposure to air pollutants and chronic rhinosinusitis (CRS) risk remain limited. Thus, we conducted this nationwide study to define the association between air pollution and CRS. We used the Longitudinal Health Insurance Database (LHID) and Taiwan Air Quality-Monitoring Database (TAQMD) to conduct a population-based cohort study. Study participants were recruited from the LHID, a data subset of the National Health Insurance Research Database that randomly sampled one million individuals. TAQMD has been an air pollutant database since 1998. In univariate and multivariate Cox proportional hazards regression models, adjusted hazard ratios (aHRs) and 95% CIs of CRS in five air pollutants were accounted. We adjusted for age, sex, urbanization level, insurance fee, comorbidities, and pollutant levels in the multivariate model. The total number of participants enrolled in this study was 160,504. The average age was 40.46 ± 14.62 years; males constituted 43.8% of the total participants. The percentages of alcoholism, tobacco dependence, and COPD were 1.5%, 2.8%, and 28.3%, respectively. After adjustment for age, sex, urbanization level, insurance fee, and comorbidities, the highest levels of air pollutants, including PM (aHR = 1.14, 95% CI = 1.06-1.22), NO (aHR = 1.07, 95% CI = 1.00-1.15), and PM (aHR = 1.13, 95% CI = 1.05-1.21) had a significantly greater CRS risk; we selected the lower concentration as the reference but did not correlate with CO. We found a significantly increased risk of CRS in residents with air pollutant exposure.
空气污染会引发组织特异性炎症反应。然而，关于接触空气污染物与慢性鼻-鼻窦炎（CRS）风险之间关联的研究仍然有限。因此，我们开展了这项全国性研究，以确定空气污染与CRS之间的关联。我们使用纵向健康保险数据库（LHID）和台湾空气质量监测数据库（TAQMD）进行了一项基于人群的队列研究。研究参与者从LHID中招募，LHID是国民健康保险研究数据库的一个数据子集，随机抽取了100万人。TAQMD自1998年起就是一个空气污染物数据库。在单变量和多变量Cox比例风险回归模型中，计算了五种空气污染物中CRS的调整后风险比（aHRs）和95%置信区间（CIs）。在多变量模型中，我们对年龄、性别、城市化水平、保险费用、合并症和污染物水平进行了调整。本研究纳入的参与者总数为160504人。平均年龄为40.46±14.62岁；男性占总参与者的43.8%。酗酒、烟草依赖和慢性阻塞性肺疾病（COPD）的比例分别为1.5%、2.8%和28.3%。在对年龄、性别、城市化水平、保险费用和合并症进行调整后，包括颗粒物（PM）（aHR = 1.14，95% CI = 1.06 - 1.22）、一氧化氮（NO）（aHR = 1.07，95% CI = 1.00 - 1.15）和细颗粒物（PM）（aHR = 1.13，95% CI = 1.05 - 1.21）在内的最高水平空气污染物具有显著更高的CRS风险；我们选择较低浓度作为参考，但一氧化碳（CO）与之无相关性。我们发现接触空气污染物的居民患CRS的风险显著增加。
