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Relationship between Particulate Matter (PM(10)) and Airway Inflammation Measured with Exhaled Nitric Oxide Test in Seoul, Korea
PURPOSE: Particulate matter (PM) is increasing every year in Asia. It is not fully understood how the airway is affected when inhaling PM. We investigated the correlation between particulate matter with a diameter of less than 10 μm (PM(10)) and fractional exhaled nitric oxide (FeNO) to determine wh...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7103060/ https://www.ncbi.nlm.nih.gov/pubmed/32256904 http://dx.doi.org/10.1155/2020/1823405 |
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author | Choi, Juwhan Sim, Jae Kyeom Oh, Jee Youn Lee, Young Seok Hur, Gyu Young Lee, Sung Yong Shim, Jae Jeong Moon, Ji-yong Min, Kyung Hoon |
author_facet | Choi, Juwhan Sim, Jae Kyeom Oh, Jee Youn Lee, Young Seok Hur, Gyu Young Lee, Sung Yong Shim, Jae Jeong Moon, Ji-yong Min, Kyung Hoon |
author_sort | Choi, Juwhan |
collection | PubMed |
description | PURPOSE: Particulate matter (PM) is increasing every year in Asia. It is not fully understood how the airway is affected when inhaling PM. We investigated the correlation between particulate matter with a diameter of less than 10 μm (PM(10)) and fractional exhaled nitric oxide (FeNO) to determine whether PM causes airway inflammation. Material and Methods. We analyzed patients who visited our outpatient clinic and tested FeNO from January 2016 to December 2017 at the Korea University Guro Hospital. PM(10) data were provided by the government of the Republic of South Korea, and measuring station of PM(10) is located 800 meters from the hospital. We analyzed the correlation between PM(10) and FeNO by a Pearson correlation analysis and by a multivariate linear regression analysis. To identify the most correlated times, we analyzed the correlation between the FeNO and PM(10) daily average from the day of visit to 4 days before visit. RESULTS: FeNO positively correlated with PM(10) at two days before hospital visit in the Pearson correlation (Pearson correlation coefficient = 0.057; P-value = 0.023) and in the multivariate linear regression analysis (B = 0.051, P-value = 0.026). If the PM(10) increased by 100 μg/m(3), the FeNO result was expected to rise to 8.3 ppb in healthy people without respiratory disease. CONCLUSION: The positive correlation was found in both healthy people and asthmatic patients. Therefore, PM(10) can increase airway inflammation. |
format | Online Article Text |
id | pubmed-7103060 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-71030602020-04-01 Relationship between Particulate Matter (PM(10)) and Airway Inflammation Measured with Exhaled Nitric Oxide Test in Seoul, Korea Choi, Juwhan Sim, Jae Kyeom Oh, Jee Youn Lee, Young Seok Hur, Gyu Young Lee, Sung Yong Shim, Jae Jeong Moon, Ji-yong Min, Kyung Hoon Can Respir J Research Article PURPOSE: Particulate matter (PM) is increasing every year in Asia. It is not fully understood how the airway is affected when inhaling PM. We investigated the correlation between particulate matter with a diameter of less than 10 μm (PM(10)) and fractional exhaled nitric oxide (FeNO) to determine whether PM causes airway inflammation. Material and Methods. We analyzed patients who visited our outpatient clinic and tested FeNO from January 2016 to December 2017 at the Korea University Guro Hospital. PM(10) data were provided by the government of the Republic of South Korea, and measuring station of PM(10) is located 800 meters from the hospital. We analyzed the correlation between PM(10) and FeNO by a Pearson correlation analysis and by a multivariate linear regression analysis. To identify the most correlated times, we analyzed the correlation between the FeNO and PM(10) daily average from the day of visit to 4 days before visit. RESULTS: FeNO positively correlated with PM(10) at two days before hospital visit in the Pearson correlation (Pearson correlation coefficient = 0.057; P-value = 0.023) and in the multivariate linear regression analysis (B = 0.051, P-value = 0.026). If the PM(10) increased by 100 μg/m(3), the FeNO result was expected to rise to 8.3 ppb in healthy people without respiratory disease. CONCLUSION: The positive correlation was found in both healthy people and asthmatic patients. Therefore, PM(10) can increase airway inflammation. Hindawi 2020-03-17 /pmc/articles/PMC7103060/ /pubmed/32256904 http://dx.doi.org/10.1155/2020/1823405 Text en Copyright © 2020 Juwhan Choi et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Choi, Juwhan Sim, Jae Kyeom Oh, Jee Youn Lee, Young Seok Hur, Gyu Young Lee, Sung Yong Shim, Jae Jeong Moon, Ji-yong Min, Kyung Hoon Relationship between Particulate Matter (PM(10)) and Airway Inflammation Measured with Exhaled Nitric Oxide Test in Seoul, Korea |
title | Relationship between Particulate Matter (PM(10)) and Airway Inflammation Measured with Exhaled Nitric Oxide Test in Seoul, Korea |
title_full | Relationship between Particulate Matter (PM(10)) and Airway Inflammation Measured with Exhaled Nitric Oxide Test in Seoul, Korea |
title_fullStr | Relationship between Particulate Matter (PM(10)) and Airway Inflammation Measured with Exhaled Nitric Oxide Test in Seoul, Korea |
title_full_unstemmed | Relationship between Particulate Matter (PM(10)) and Airway Inflammation Measured with Exhaled Nitric Oxide Test in Seoul, Korea |
title_short | Relationship between Particulate Matter (PM(10)) and Airway Inflammation Measured with Exhaled Nitric Oxide Test in Seoul, Korea |
title_sort | relationship between particulate matter (pm(10)) and airway inflammation measured with exhaled nitric oxide test in seoul, korea |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7103060/ https://www.ncbi.nlm.nih.gov/pubmed/32256904 http://dx.doi.org/10.1155/2020/1823405 |
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