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Impact of Residential Concentration of PM2.5 Analyzed as Time-Varying Covariate on the Survival Rate of Lung Cancer Patients: A 15-Year Hospital-Based Study in Upper Northern Thailand

Air pollutants, especially particulate matter (PM) ≤ 2.5 µm (PM2.5) and PM ≤ 10 µm (PM10), are a major concern in upper northern Thailand. Data from a retrospective cohort comprising 9820 lung cancer patients diagnosed from 2003 to 2018 were obtained from the Chiang Mai Cancer Registry, and used to...

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Autores principales: Nakharutai, Nawapon, Traisathit, Patrinee, Thongsak, Natthapat, Supasri, Titaporn, Srikummoon, Pimwarat, Thumronglaohapun, Salinee, Hemwan, Phonpat, Chitapanarux, Imjai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9026284/
https://www.ncbi.nlm.nih.gov/pubmed/35457386
http://dx.doi.org/10.3390/ijerph19084521
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author Nakharutai, Nawapon
Traisathit, Patrinee
Thongsak, Natthapat
Supasri, Titaporn
Srikummoon, Pimwarat
Thumronglaohapun, Salinee
Hemwan, Phonpat
Chitapanarux, Imjai
author_facet Nakharutai, Nawapon
Traisathit, Patrinee
Thongsak, Natthapat
Supasri, Titaporn
Srikummoon, Pimwarat
Thumronglaohapun, Salinee
Hemwan, Phonpat
Chitapanarux, Imjai
author_sort Nakharutai, Nawapon
collection PubMed
description Air pollutants, especially particulate matter (PM) ≤ 2.5 µm (PM2.5) and PM ≤ 10 µm (PM10), are a major concern in upper northern Thailand. Data from a retrospective cohort comprising 9820 lung cancer patients diagnosed from 2003 to 2018 were obtained from the Chiang Mai Cancer Registry, and used to evaluate mortality and survival rates. Cox proportional hazard models were used to identify the association between the risk of death and risk factors including gender, age, cancer stage, smoking history, alcohol-use history, calendar year of enrollment, and time-updated PM2.5, PM10, NO(2) and O(3) concentrations. The mortality rate was 68.2 per 100 persons per year of follow-up. In a multivariate analysis, gender, age, cancer stage, calendar year of enrollment, and time-varying residential concentration of PM2.5 were independently associated with the risk of death. The lower the annually averaged PM2.5 and PM10 concentrations, the higher the survival probability of the patient. As PM2.5 and PM10 were factors associated with a higher risk of death, lung cancer patients who are inhabitant in the area should reduce their exposure to high concentrations of PM2.5 and PM10 to increase survival rates.
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spelling pubmed-90262842022-04-23 Impact of Residential Concentration of PM2.5 Analyzed as Time-Varying Covariate on the Survival Rate of Lung Cancer Patients: A 15-Year Hospital-Based Study in Upper Northern Thailand Nakharutai, Nawapon Traisathit, Patrinee Thongsak, Natthapat Supasri, Titaporn Srikummoon, Pimwarat Thumronglaohapun, Salinee Hemwan, Phonpat Chitapanarux, Imjai Int J Environ Res Public Health Article Air pollutants, especially particulate matter (PM) ≤ 2.5 µm (PM2.5) and PM ≤ 10 µm (PM10), are a major concern in upper northern Thailand. Data from a retrospective cohort comprising 9820 lung cancer patients diagnosed from 2003 to 2018 were obtained from the Chiang Mai Cancer Registry, and used to evaluate mortality and survival rates. Cox proportional hazard models were used to identify the association between the risk of death and risk factors including gender, age, cancer stage, smoking history, alcohol-use history, calendar year of enrollment, and time-updated PM2.5, PM10, NO(2) and O(3) concentrations. The mortality rate was 68.2 per 100 persons per year of follow-up. In a multivariate analysis, gender, age, cancer stage, calendar year of enrollment, and time-varying residential concentration of PM2.5 were independently associated with the risk of death. The lower the annually averaged PM2.5 and PM10 concentrations, the higher the survival probability of the patient. As PM2.5 and PM10 were factors associated with a higher risk of death, lung cancer patients who are inhabitant in the area should reduce their exposure to high concentrations of PM2.5 and PM10 to increase survival rates. MDPI 2022-04-08 /pmc/articles/PMC9026284/ /pubmed/35457386 http://dx.doi.org/10.3390/ijerph19084521 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Nakharutai, Nawapon
Traisathit, Patrinee
Thongsak, Natthapat
Supasri, Titaporn
Srikummoon, Pimwarat
Thumronglaohapun, Salinee
Hemwan, Phonpat
Chitapanarux, Imjai
Impact of Residential Concentration of PM2.5 Analyzed as Time-Varying Covariate on the Survival Rate of Lung Cancer Patients: A 15-Year Hospital-Based Study in Upper Northern Thailand
title Impact of Residential Concentration of PM2.5 Analyzed as Time-Varying Covariate on the Survival Rate of Lung Cancer Patients: A 15-Year Hospital-Based Study in Upper Northern Thailand
title_full Impact of Residential Concentration of PM2.5 Analyzed as Time-Varying Covariate on the Survival Rate of Lung Cancer Patients: A 15-Year Hospital-Based Study in Upper Northern Thailand
title_fullStr Impact of Residential Concentration of PM2.5 Analyzed as Time-Varying Covariate on the Survival Rate of Lung Cancer Patients: A 15-Year Hospital-Based Study in Upper Northern Thailand
title_full_unstemmed Impact of Residential Concentration of PM2.5 Analyzed as Time-Varying Covariate on the Survival Rate of Lung Cancer Patients: A 15-Year Hospital-Based Study in Upper Northern Thailand
title_short Impact of Residential Concentration of PM2.5 Analyzed as Time-Varying Covariate on the Survival Rate of Lung Cancer Patients: A 15-Year Hospital-Based Study in Upper Northern Thailand
title_sort impact of residential concentration of pm2.5 analyzed as time-varying covariate on the survival rate of lung cancer patients: a 15-year hospital-based study in upper northern thailand
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9026284/
https://www.ncbi.nlm.nih.gov/pubmed/35457386
http://dx.doi.org/10.3390/ijerph19084521
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