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Air pollution and hospitalization of patients with idiopathic pulmonary fibrosis in Beijing: a time-series study
BACKGROUND: A small number of studies suggested that air pollution was associated with idiopathic pulmonary fibrosis (IPF) exacerbation, incidence and mortality. However, no studies to date were conducted in regions where air pollution is substantial. We aimed to investigate whether there are associ...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8985349/ https://www.ncbi.nlm.nih.gov/pubmed/35382829 http://dx.doi.org/10.1186/s12931-022-01998-8 |
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author | Liang, Lirong Cai, Yutong Lyu, Baolei Zhang, Di Chu, Shuilian Jing, Hang Rahimi, Kazem Tong, Zhaohui |
author_facet | Liang, Lirong Cai, Yutong Lyu, Baolei Zhang, Di Chu, Shuilian Jing, Hang Rahimi, Kazem Tong, Zhaohui |
author_sort | Liang, Lirong |
collection | PubMed |
description | BACKGROUND: A small number of studies suggested that air pollution was associated with idiopathic pulmonary fibrosis (IPF) exacerbation, incidence and mortality. However, no studies to date were conducted in regions where air pollution is substantial. We aimed to investigate whether there are associations between acute increases in air pollution and hospitalization of patients with a confirmed primary diagnosis of IPF in Beijing. METHODS: Daily count of IPF hospitalizations (International Classification of Disease-10th Revision, J84.1) was obtained from an administrative database for 2013–2017 while daily city-wide average concentrations of PM(10), PM(2.5), NO(2), Ozone, SO(2) were obtained from 35 municipal monitoring stations for the same period. The association between daily IPF hospitalization and average concentration of each pollutant was analyzed with a generalized additive model estimating Poisson distribution. RESULTS: Daily 24-h mean PM(2.5) concentration during 2013–2017 was 76.7 μg/m(3). The relative risk (RR) of IPF hospitalization per interquartile range (IQR) higher (72 μg/m(3)) in PM(2.5) was 1.049 (95% CI 1.024–1.074) and 1.031 (95% CI 1.007–1.056) for lag0 and moving averages 0–1 days respectively. No significant associations were observed for other lags. Statistically significant positive associations were also observed at lag0 with SO(2), Ozone and NO(2) (in men only). Positive associations were seen at moving averages 0–30 days for PM(10) (RR per 86 μg/m(3): 1.021, 95% CI 0.994–1.049), NO(2) (RR per 30 μg/m(3): 1.029, 95% CI 0.999–1.060), and SO(2) (RR per 15 μg/m(3): 1.060 (95% CI 1.025–1.097), but not with PM(2.5) or Ozone. CONCLUSIONS: Despite improvement in air quality since the implementation of clean air policy in 2013, acute exposure to higher levels of air pollution is significantly associated with IPF hospitalization in Beijing. Air quality policy should be continuously enforced to protect vulnerable IPF populations as well as the general public. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12931-022-01998-8. |
format | Online Article Text |
id | pubmed-8985349 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-89853492022-04-07 Air pollution and hospitalization of patients with idiopathic pulmonary fibrosis in Beijing: a time-series study Liang, Lirong Cai, Yutong Lyu, Baolei Zhang, Di Chu, Shuilian Jing, Hang Rahimi, Kazem Tong, Zhaohui Respir Res Research BACKGROUND: A small number of studies suggested that air pollution was associated with idiopathic pulmonary fibrosis (IPF) exacerbation, incidence and mortality. However, no studies to date were conducted in regions where air pollution is substantial. We aimed to investigate whether there are associations between acute increases in air pollution and hospitalization of patients with a confirmed primary diagnosis of IPF in Beijing. METHODS: Daily count of IPF hospitalizations (International Classification of Disease-10th Revision, J84.1) was obtained from an administrative database for 2013–2017 while daily city-wide average concentrations of PM(10), PM(2.5), NO(2), Ozone, SO(2) were obtained from 35 municipal monitoring stations for the same period. The association between daily IPF hospitalization and average concentration of each pollutant was analyzed with a generalized additive model estimating Poisson distribution. RESULTS: Daily 24-h mean PM(2.5) concentration during 2013–2017 was 76.7 μg/m(3). The relative risk (RR) of IPF hospitalization per interquartile range (IQR) higher (72 μg/m(3)) in PM(2.5) was 1.049 (95% CI 1.024–1.074) and 1.031 (95% CI 1.007–1.056) for lag0 and moving averages 0–1 days respectively. No significant associations were observed for other lags. Statistically significant positive associations were also observed at lag0 with SO(2), Ozone and NO(2) (in men only). Positive associations were seen at moving averages 0–30 days for PM(10) (RR per 86 μg/m(3): 1.021, 95% CI 0.994–1.049), NO(2) (RR per 30 μg/m(3): 1.029, 95% CI 0.999–1.060), and SO(2) (RR per 15 μg/m(3): 1.060 (95% CI 1.025–1.097), but not with PM(2.5) or Ozone. CONCLUSIONS: Despite improvement in air quality since the implementation of clean air policy in 2013, acute exposure to higher levels of air pollution is significantly associated with IPF hospitalization in Beijing. Air quality policy should be continuously enforced to protect vulnerable IPF populations as well as the general public. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12931-022-01998-8. BioMed Central 2022-04-05 2022 /pmc/articles/PMC8985349/ /pubmed/35382829 http://dx.doi.org/10.1186/s12931-022-01998-8 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Liang, Lirong Cai, Yutong Lyu, Baolei Zhang, Di Chu, Shuilian Jing, Hang Rahimi, Kazem Tong, Zhaohui Air pollution and hospitalization of patients with idiopathic pulmonary fibrosis in Beijing: a time-series study |
title | Air pollution and hospitalization of patients with idiopathic pulmonary fibrosis in Beijing: a time-series study |
title_full | Air pollution and hospitalization of patients with idiopathic pulmonary fibrosis in Beijing: a time-series study |
title_fullStr | Air pollution and hospitalization of patients with idiopathic pulmonary fibrosis in Beijing: a time-series study |
title_full_unstemmed | Air pollution and hospitalization of patients with idiopathic pulmonary fibrosis in Beijing: a time-series study |
title_short | Air pollution and hospitalization of patients with idiopathic pulmonary fibrosis in Beijing: a time-series study |
title_sort | air pollution and hospitalization of patients with idiopathic pulmonary fibrosis in beijing: a time-series study |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8985349/ https://www.ncbi.nlm.nih.gov/pubmed/35382829 http://dx.doi.org/10.1186/s12931-022-01998-8 |
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