Survival analysis on patients with occupational pneumoconiosis in Guangdong Province from 1980 to 2019
10.20001/j.issn.2095-2619.20230404
- VernacularTitle:广东省1980—2019年职业性尘肺病患者生存分析
- Author:
Xi WU
1
;
Fanli MENG
;
Ru JING
;
Yuhao HAN
;
Yuhao WANG
;
Yicen GU
;
Daoyu YANG
;
Ningbin QUAN
;
Jinbi PENG
;
Xudong LI
Author Information
1. Guangdong Province Hospital for Occupational Disease Prevention and Treatment, Guangzhou Guangdong, 510300, China
- Publication Type:Journal Article
- Keywords:
Pneumoconiosis;
Silicosis;
Survival time;
Survival analysis;
Cox proportional hazards regression model
- From:
China Occupational Medicine
2023;50(2):140-144
- CountryChina
- Language:Chinese
-
Abstract:
Objective: To study the survival time and its risk factors of patients with occupational pneumoconiosis. Methods: A total of 11 011 newly diagnosed occupational pneumoconiosis patients in Guangdong Province from 1980 to 2019 were selected as study subjects. The life table method was used for survival analysis. The influencing factors of survival time of occupational pneumoconiosis patients were analyzed using the WilCoxon (Gehan) test and Cox proportional hazards regression model. Results: The median survival time of pneumoconiosis patients was 26.0 years. The median survival period of stage Ⅰpatients was 3.5 years longer than that of stage Ⅱ patients and 10.1 years longer than that of stage Ⅲ patients. The median survival time of patients with an initial diagnosis age under 40.0 years old was 34.8 years longer than that of patients with an initial diagnosis age over 60.0 years old. The median survival time of patients with dust exposure duration under 25.0 years old was 13.6 years longer than patients with dust exposure duration age over 45.0 years old. The results of the Cox proportional hazards regression model showed that the initial diagnosis stage, initial diagnosis age, dust exposure duration, and medical insurance were risk factors of the survival time of occupational pneumoconiosis patients (all P<0.01). The risk of reduced survival time for patients with stage Ⅱ and stage Ⅲ as the initial diagnosis stage was 1.15 and 2.04 times higher, respectively, compared with stage Ⅰ patients (both P<0.01). The risk of reduced survival time for patients without medical insurance was 60.22 times higher than those with medical insurance (P<0.01). Conclusion: The risk factors of the survival time of occupational pneumoconiosis patients in Guangdong Province are initial diagnosis stage, initial diagnosis age, the dust exposure age, and medical insurance. Earlier detection, earlier diagnosis, and improvement of medical insurance coverage for patients can effectively improve the survival time of occupational pneumoconiosis patients.
