Research Centre on Public Health, Dept of Medicine and Surgery, University of Milano-Bicocca, Milan, Italy.
Unità Operativa di Pneumologia e Terapia Semi-Intensiva Respiratoria, Servizio di Fisiopatologia Respiratoria ed Emodinamica Polmonare, Ospedale San Giuseppe-MultiMedica IRCCS, Milan, Italy
Eur Respir J. 2018 Jan 25;51(1). doi: 10.1183/13993003.00397-2017. Print 2018 Jan.
Acute exacerbations and worsening of idiopathic pulmonary fibrosis (IPF) have been associated with exposure to ozone (O), nitrogen dioxide (NO) and particulate matter, but chronic exposure to air pollution might also affect the incidence of IPF. We investigated the association between chronic exposure to NO, O and particulate matter with an aerodynamic diameter <10 μm (PM) and IPF incidence in Northern Italy between 2005 and 2010.Daily predictions of PM concentrations were obtained from spatiotemporal models, and NO and O hourly concentrations from fixed monitoring stations. We identified areas with homogenous exposure to each pollutant. We built negative binomial models to assess the association between area-specific IPF incidence rate, estimated through administrative databases, and average overall and seasonal PM, NO, and 8-hour maximum O concentrations.Using unadjusted models, an increment of 10 µg·m in NO concentration was associated with an increase between 7.93% (95% CI 0.36-16.08%) and 8.41% (95% CI -0.23-17.80%) in IPF incidence rate, depending on the season. After adjustment for potential confounders, estimated effects were similar in magnitude, but with larger confidence intervals.Although confirmatory studies are needed, our results trace a potential association between exposure to traffic pollution and the development of IPF.
特发性肺纤维化(IPF)的急性加重和恶化与臭氧(O)、二氧化氮(NO)和颗粒物的暴露有关,但慢性暴露于空气污染也可能影响 IPF 的发病率。我们研究了意大利北部 2005 年至 2010 年间慢性暴露于 NO、O 和空气动力学直径<10μm 的颗粒物(PM)与 IPF 发病率之间的关系。PM 浓度的每日预测值来自时空模型,NO 和 O 小时浓度来自固定监测站。我们确定了每个污染物具有同质暴露的区域。我们建立了负二项式模型,以评估通过行政数据库确定的特定区域的 IPF 发病率与总平均和季节性 PM、NO 和 8 小时最大 O 浓度之间的关系。在未调整的模型中,NO 浓度增加 10μg·m 与 IPF 发病率增加 7.93%(95%CI 0.36-16.08%)和 8.41%(95%CI -0.23-17.80%)之间存在关联,这取决于季节。在调整了潜在混杂因素后,估计的影响在大小上相似,但置信区间更大。尽管需要进一步的确认性研究,但我们的结果表明交通污染暴露与 IPF 的发展之间存在潜在的关联。