What Can Big Data Teach Us About Air Pollution and Pneumonia?

医学 肺炎 空气污染 重症监护医学 环境卫生 内科学 有机化学 化学
作者
Coralynn Sack,Engi F. Attia
出处
期刊:Chest [Elsevier]
卷期号:164 (1): 6-7
标识
DOI:10.1016/j.chest.2023.03.032
摘要

FOR RELATED ARTICLE, SEE PAGE 39In this issue of CHEST, Wang et al1Wang J. Li D. Ma Y. et al.Long-term exposure to ambient air pollutants and increased risk of pneumonia in the UK Biobank.Chest. 2023; 164: 39-52Abstract Full Text Full Text PDF Scopus (1) Google Scholar present an analysis of participants in the UK Biobank, demonstrating that long-term exposure to air pollution is associated with an increased risk of pneumonia. Although the link between air pollution and lower respiratory tract infections is not a novel finding, most prior epidemiologic studies have focused on short-term pollutant exposures in the days or week before disease manifestation.2Horne B.D. Joy E.A. Hofmann M.G. et al.Short-term elevation of fine particulate matter air pollution and acute lower respiratory infection.Am J Respir Crit Care Med. 2018; 198: 759-766Crossref PubMed Scopus (227) Google Scholar,3Yee J. Cho Y.A. Yoo H.J. Yun H. Gwak H.S. Short-term exposure to air pollution and hospital admission for pneumonia: a systematic review and meta-analysis.Environ Health. 2021; 20: 6Crossref Scopus (42) Google Scholar Fewer studies have examined the chronic effects of pollutant exposure, in part because of the lack of cohorts with adequate data and sufficient statistical power to study this risk factor for a relatively rare outcome.4Neupane B. Jerrett M. Burnett R.T. Marrie T. Arain A. Loeb M. Long-term exposure to ambient air pollution and risk of hospitalization with community-acquired pneumonia in older adults.Am J Respir Crit Care Med. 2010; 181: 47-53Crossref PubMed Scopus (176) Google Scholar, 5Liu S. Lim Y.H. Chen J. et al.Long-term air pollution exposure and pneumonia-related mortality in a large pooled European cohort.Am J Respir Crit Care Med. 2022; 205: 1429-1439Crossref PubMed Scopus (10) Google Scholar, 6Kirwa K. Eckert C.M. Vedal S. Hajat A. Kaufman J.D. Ambient air pollution and risk of respiratory infection among adults: evidence from the multiethnic study of atherosclerosis (MESA).BMJ Open Respir Res. 2021; 8: e000866Crossref Scopus (13) Google Scholar FOR RELATED ARTICLE, SEE PAGE 39 To overcome this limitation, the authors use data that are available publicly through the UK Biobank (a prospective cohort study that enrolled 500,000 volunteers aged 40 to 69 years from 2006 to 2010 across England, Scotland, and Wales). Extensive biomarker and phenotypic data were collected from participants at baseline and linked with longitudinal health data, which included hospitalization and mortality records. In the current study, which includes 445,473 participants, incident pneumonia was defined based on International Classification of Diseases, Tenth Revision (ICD-10) codes at hospitalization. Exposure to four pollutant components (PM2.5, PM10, NO2, NOx) was estimated at home addresses in 2010 with the use of previously developed land-use regression models, which integrate pollutant levels at monitoring sites with geographic covariates, such as road use, and was assumed to represent long-term exposure levels.7Eeftens M. Beelen R. De Hoogh K. et al.Development of land use regression models for PM(2.5), PM(2.5) absorbance, PM(10) and PM(coarse) in 20 European study areas; results of the ESCAPE project.Environ Sci Technol. 2012; 46: 11195-11205Crossref PubMed Scopus (764) Google Scholar Analyses were adjusted for sociodemographic factors that included smoking status, preexisting lung diseases, and several proxies of individual-level socioeconomic status. Overall, the study provides confirmatory evidence that higher pollutant concentrations are associated with an increased risk of pneumonia hospitalization. Although the reported risk on an individual basis is small (6% to 12% per interquartile range of pollutant), the burden of disease that is attributable to pollution is large when applied over the general population. Results were robust to adjustment from individual-level confounders and consistent across multiple sensitivity analyses. Associations also persisted after restriction of the cohort to individuals with exposure to pollutant concentrations below current European Union limits and showed no evidence of a threshold effect below which there was no risk. This suggests that even low-level, chronic pollutant exposure imparts an increased risk of pneumonia. Importantly, the authors report an increased risk of pneumonia associated with air pollution exposure in ever smokers. The synergistic effect between smoking and air pollution is expressed on both additive and multiplicative scales to help contextualize the public health significance of the interaction.8Vanderweele T.J. Knol M.J. A tutorial on interaction.Epidemiol Methods. 2014; 3: 33-72Crossref Scopus (598) Google Scholar Specifically, measures of additive interaction, such as the relative excess risk caused by interaction, imply that reducing exposure to air pollution in ever smokers would result in a greater reduction in pneumonia hospitalizations compared with the same intervention in never smokers. Although this categorization designates ever smokers as a susceptible population, it does not address whether current and former smokers have differential risk of pneumonia associated with air pollution exposure. Understanding whether quitting smoking has the additional benefit of reducing the risk of adverse pollutant-related health effects could be a powerful tool to help motivate smoking cessation. The authors also found an increased risk of pneumonia associated with higher air pollution exposure among older adults and individuals with lower incomes. Whether the intersectionality of older age and lower income may further exacerbate pneumonia risk associated with air pollution exposure was not explored. These data have the potential to add to the health equity conversation, because socioeconomic status often spatially covaries with pollution exposure, with poorer communities living in areas with both higher concentrations of and more hazardous pollutant components. The disproportionate impact of pollution on individuals with lower socioeconomic status highlights compounding effects from high pollution exposure, diminished baseline health, and a lack of resources to mitigate adverse effects from air pollution.9Hooper L.G. Kaufman J.D. Ambient air pollution and clinical implications for susceptible populations.Ann Am Thorac Soc. 2018; 15: S64-S68Crossref Scopus (55) Google Scholar Despite the considerable strengths of this study, the lack of granularity in both the exposure and outcome ascertainment introduces some uncertainty in the interpretation of findings. The reliance on ICD-10 codes from hospitalizations to capture cases leads to a substantial risk for disease miscategorization and also misses individuals with less severe pneumonia who were treated as outpatients. Mechanistically, it is impossible to disentangle whether exposure to air pollution increases hospitalization for pneumonia caused by increased transmission vs greater severity of disease. Additionally, by lumping all causes of pneumonia into one category, the authors cannot determine whether pollution imparts variable risk for pneumonia depending on the specific pathogen. This detail is particularly salient in the context of an ongoing global pandemic; mounting evidence suggests that air pollution exposure specifically increases morbidity and mortality rates from COVID-19.10Hernandez Carballo I. Bakola M. Stuckler D. The impact of air pollution on COVID-19 incidence, severity, and mortality: a systematic review of studies in Europe and North America.Environ Res. 2022; 215: 114155Crossref Scopus (13) Google Scholar There are also potential spatial and temporal biases in pollution estimates. Participation in the UK Biobank was clustered around the 22 largely urban assessment sites, with most volunteers living within 25 miles of an assessment site. Although this resulted in a geographically diverse population across multiple countries, spatial clustering may have induced unmeasured confounding by region and was not controlled for in the analysis. The authors also used a cross-sectional average of pollution exposure in year 2010 as a proxy for long-term exposure. Although temporal trends in pollutant concentrations were on average relatively stable over the 10-year period, some regions may have experienced greater changes in air quality than others. The authors acknowledge this limitation and somewhat alleviate concerns by performing a sensitivity analysis that uses time-varying pollutant concentrations. Perhaps a greater consideration is whether the results from this study are generalizable to other populations, such as those in more rural settings; those who might live in proximity to known high-pollutant emitters; or those with more diverse socioeconomic status, race, and/or ethnicity. Participation in the UK biobank was based on convenience sampling rather than random selection, with a substantial “healthy-volunteer” effect. Participants lived in less socioeconomically deprived areas: more than 95% were White, and 85% were urban residents.11Fry A. Littlejohns T.J. Sudlow C. et al.Comparison of sociodemographic and health-related characteristics of UK Biobank participants with those of the general population.Am J Epidemiol. 2017; 186: 1026Crossref PubMed Scopus (1308) Google Scholar All of these sociodemographic factors have complex intersections with air pollution exposure that may bias causal inference. Although the large sample sizes in biorepositories may confer statistical power, estimates may be skewed and should be evaluated carefully in terms of generalizability and external validity.12Keyes K.M. Westreich D. UK Biobank, big data, and the consequences of non-representativeness.Lancet. 2019; 393: 1297Abstract Full Text Full Text PDF PubMed Scopus (65) Google Scholar Future studies should focus on recruiting cohorts, particularly from susceptible populations, to provide data that can inform equitable public health interventions. None declared. Long-term Exposure to Ambient Air Pollutants and Increased Risk of Pneumonia in the UK BiobankCHESTVol. 164Issue 1PreviewLong-term exposure to air pollutants was associated with an increased risk of pneumonia, especially in individuals who smoke. Full-Text PDF
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
大幅提高文件上传限制,最高150M (2024-4-1)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
思源应助Ivy采纳,获得10
1秒前
CipherSage应助Wenpandaen采纳,获得10
1秒前
略略略爱完成签到 ,获得积分10
1秒前
XPR发布了新的文献求助10
1秒前
可耐的白山完成签到,获得积分10
1秒前
2秒前
香蕉觅云应助Sylvia采纳,获得10
2秒前
俭朴尔竹完成签到 ,获得积分10
3秒前
3秒前
3秒前
桐桐应助钱俊采纳,获得10
4秒前
Ava应助cream采纳,获得10
4秒前
elfff完成签到 ,获得积分10
4秒前
6秒前
6秒前
彭于晏应助祝志泽采纳,获得10
6秒前
7秒前
孤檠应助细心雨兰采纳,获得10
7秒前
7秒前
白222完成签到,获得积分10
8秒前
邓艳梅完成签到,获得积分10
9秒前
shionn发布了新的文献求助20
9秒前
9秒前
不配.应助小太阳采纳,获得10
10秒前
bobo完成签到,获得积分20
10秒前
asdfqwer发布了新的文献求助10
11秒前
lf66发布了新的文献求助10
12秒前
hhehe发布了新的文献求助10
12秒前
13秒前
勤恳友灵发布了新的文献求助10
13秒前
meng完成签到,获得积分10
14秒前
1325850238完成签到,获得积分10
15秒前
15秒前
Hey发布了新的文献求助10
15秒前
16秒前
我是老大应助小布丁采纳,获得10
16秒前
清爽的柚子完成签到 ,获得积分10
16秒前
17秒前
Gorge完成签到,获得积分10
17秒前
XPR完成签到 ,获得积分10
17秒前
高分求助中
Evolution 10000
Sustainability in Tides Chemistry 2800
The Young builders of New china : the visit of the delegation of the WFDY to the Chinese People's Republic 1000
юрские динозавры восточного забайкалья 800
English Wealden Fossils 700
Diagnostic immunohistochemistry : theranostic and genomic applications 6th Edition 500
Chen Hansheng: China’s Last Romantic Revolutionary 500
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 催化作用 物理化学 免疫学 量子力学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 3148415
求助须知:如何正确求助?哪些是违规求助? 2799563
关于积分的说明 7835686
捐赠科研通 2456891
什么是DOI,文献DOI怎么找? 1307645
科研通“疑难数据库(出版商)”最低求助积分说明 628217
版权声明 601655