ILD Multidisciplinary Unit, Bellvitge University Hospital, IDIBELL, Hospitalet de Llobregat, Spain.
Barcelona Supercomputing Center, BSC, c/Jordi Girona, 29,, Barcelona, Spain.
Respirology. 2021 Apr;26(4):352-359. doi: 10.1111/resp.13973. Epub 2020 Nov 9.
The relationship between IPF development and environmental factors has not been completely elucidated. Analysing geographic regions of idiopathic pulmonary fibrosis (IPF) cases could help identify those areas with higher aggregation and investigate potential triggers. We hypothesize that cross-analysing location of IPF cases and areas of consistently high air pollution concentration could lead to recognition of environmental risk factors for IPF development.
This retrospective study analysed epidemiological and clinical data from 503 patients registered in the Observatory IPF.cat from January 2017 to June 2019. Incident and prevalent IPF cases from the Catalan region of Spain were graphed based on their postal address. We generated maps of the most relevant air pollutant PM2.5 from the last 10 years using data from the CALIOPE air quality forecast system and observational data.
In 2018, the prevalence of IPF differed across provinces; from 8.1 cases per 100 000 habitants in Barcelona to 2.0 cases per 100 000 in Girona. The ratio of IPF was higher in some areas. Mapping PM2.5 levels illustrated that certain areas with more industry, traffic and shipping maintained markedly higher PM2.5 concentrations. Most of these locations correlated with higher aggregation of IPF cases. Compared with other risk factors, PM2.5 exposure was the most frequent.
In this retrospective study, prevalence of IPF is higher in areas of elevated PM2.5 concentration. Prospective studies with targeted pollution mapping need to be done in specific geographies to compile a broader profile of environmental factors involved in the development of pulmonary fibrosis.
特发性肺纤维化(IPF)的发展与环境因素之间的关系尚未完全阐明。分析 IPF 病例的地理区域有助于确定聚集程度较高的地区,并调查潜在的触发因素。我们假设对 IPF 病例的位置和始终存在高空气污染浓度的区域进行交叉分析,可能会识别出与 IPF 发展相关的环境风险因素。
这项回顾性研究分析了 2017 年 1 月至 2019 年 6 月期间在 Observatory IPF.cat 登记的 503 名患者的流行病学和临床数据。根据他们的邮政编码,绘制了来自西班牙加泰罗尼亚地区的新发和现患 IPF 病例的图表。我们使用 CALIOPE 空气质量预测系统和观测数据生成了过去 10 年中最相关的空气污染物 PM2.5 的地图。
2018 年,IPF 的患病率在各省之间存在差异;巴塞罗那为每 10 万人 8.1 例,而赫罗纳为每 10 万人 2.0 例。某些地区的 IPF 发病率更高。绘制 PM2.5 水平图表明,某些工业、交通和航运发达的地区始终保持着较高的 PM2.5 浓度。这些位置中的大多数与 IPF 病例的聚集程度较高相关。与其他危险因素相比,PM2.5 暴露是最常见的。
在这项回顾性研究中,PM2.5 浓度较高的地区 IPF 的患病率更高。需要在特定地理区域进行具有针对性的污染测绘的前瞻性研究,以更全面地了解与肺纤维化发展相关的环境因素。