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Epidemiological characteristics and survival analysis on patients with occupational pneumoconiosis in Zhejiang Province from 1987 to 2019

OBJECTIVE: To evaluate risk factors affecting survival in patients diagnosed with pneumoconiosis and propose strategies to improve the quality of life in these patients. METHODS: The basic patient information was obtained from the pneumoconiosis report card. Disease types, regions, and industry dist...

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Autores principales: Zou, Hua, Shi, Zhihao, Zhang, Yixin, Zhou, Jiena, Fang, Xinglin, Zhang, Yijin, Hu, Yong, Lou, Xiaoming, Zhou, Lifang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9614357/
https://www.ncbi.nlm.nih.gov/pubmed/36311604
http://dx.doi.org/10.3389/fpubh.2022.1006391
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author Zou, Hua
Shi, Zhihao
Zhang, Yixin
Zhou, Jiena
Fang, Xinglin
Zhang, Yijin
Hu, Yong
Lou, Xiaoming
Zhou, Lifang
author_facet Zou, Hua
Shi, Zhihao
Zhang, Yixin
Zhou, Jiena
Fang, Xinglin
Zhang, Yijin
Hu, Yong
Lou, Xiaoming
Zhou, Lifang
author_sort Zou, Hua
collection PubMed
description OBJECTIVE: To evaluate risk factors affecting survival in patients diagnosed with pneumoconiosis and propose strategies to improve the quality of life in these patients. METHODS: The basic patient information was obtained from the pneumoconiosis report card. Disease types, regions, and industry distribution of pneumoconiosis were analyzed. The Kaplan-Meier survival curves and the Cox proportional risk regression model was used for survival analysis. RESULTS: A total of 13,812 patients were diagnosed with pneumoconiosis in Zhejiang province from 1987 to 2019. The overall survival rate at the end of life table analysis was 83%. Kaplan-Meier analyses showed that there were significant differences between survival curves depending on the stage of first diagnosis, age at first diagnosis, type of pneumoconiosis, industry, and duration of dust exposure (P < 0.05). The results of Cox proportional hazards regression analysis showed that pneumoconiosis stage of first diagnosis, age at first diagnosis, industry, and duration of dust exposure were risk factors affecting patient survival (P < 0.05). CONCLUSIONS: The patients with high stage of pneumoconiosis at first diagnosis, older age, and long duration of dust exposure should be followed up and monitored as key population, and the industries with high incidence of pneumoconiosis such as mining and construction should be supervised as key industries.
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spelling pubmed-96143572022-10-29 Epidemiological characteristics and survival analysis on patients with occupational pneumoconiosis in Zhejiang Province from 1987 to 2019 Zou, Hua Shi, Zhihao Zhang, Yixin Zhou, Jiena Fang, Xinglin Zhang, Yijin Hu, Yong Lou, Xiaoming Zhou, Lifang Front Public Health Public Health OBJECTIVE: To evaluate risk factors affecting survival in patients diagnosed with pneumoconiosis and propose strategies to improve the quality of life in these patients. METHODS: The basic patient information was obtained from the pneumoconiosis report card. Disease types, regions, and industry distribution of pneumoconiosis were analyzed. The Kaplan-Meier survival curves and the Cox proportional risk regression model was used for survival analysis. RESULTS: A total of 13,812 patients were diagnosed with pneumoconiosis in Zhejiang province from 1987 to 2019. The overall survival rate at the end of life table analysis was 83%. Kaplan-Meier analyses showed that there were significant differences between survival curves depending on the stage of first diagnosis, age at first diagnosis, type of pneumoconiosis, industry, and duration of dust exposure (P < 0.05). The results of Cox proportional hazards regression analysis showed that pneumoconiosis stage of first diagnosis, age at first diagnosis, industry, and duration of dust exposure were risk factors affecting patient survival (P < 0.05). CONCLUSIONS: The patients with high stage of pneumoconiosis at first diagnosis, older age, and long duration of dust exposure should be followed up and monitored as key population, and the industries with high incidence of pneumoconiosis such as mining and construction should be supervised as key industries. Frontiers Media S.A. 2022-10-14 /pmc/articles/PMC9614357/ /pubmed/36311604 http://dx.doi.org/10.3389/fpubh.2022.1006391 Text en Copyright © 2022 Zou, Shi, Zhang, Zhou, Fang, Zhang, Hu, Lou and Zhou. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Public Health
Zou, Hua
Shi, Zhihao
Zhang, Yixin
Zhou, Jiena
Fang, Xinglin
Zhang, Yijin
Hu, Yong
Lou, Xiaoming
Zhou, Lifang
Epidemiological characteristics and survival analysis on patients with occupational pneumoconiosis in Zhejiang Province from 1987 to 2019
title Epidemiological characteristics and survival analysis on patients with occupational pneumoconiosis in Zhejiang Province from 1987 to 2019
title_full Epidemiological characteristics and survival analysis on patients with occupational pneumoconiosis in Zhejiang Province from 1987 to 2019
title_fullStr Epidemiological characteristics and survival analysis on patients with occupational pneumoconiosis in Zhejiang Province from 1987 to 2019
title_full_unstemmed Epidemiological characteristics and survival analysis on patients with occupational pneumoconiosis in Zhejiang Province from 1987 to 2019
title_short Epidemiological characteristics and survival analysis on patients with occupational pneumoconiosis in Zhejiang Province from 1987 to 2019
title_sort epidemiological characteristics and survival analysis on patients with occupational pneumoconiosis in zhejiang province from 1987 to 2019
topic Public Health
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9614357/
https://www.ncbi.nlm.nih.gov/pubmed/36311604
http://dx.doi.org/10.3389/fpubh.2022.1006391
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