2.An analysis of eligibility for occupational health inspection agencies in eight provinces of China.
Fang QI ; Huanqiang WANG ; Tao LI ; Xiangpei LYU ; Qiuhong ZHU ; Chen YU
Chinese Journal of Industrial Hygiene and Occupational Diseases 2015;33(6):430-434
OBJECTIVETo investigate the eligibility and main problems for occupational health inspection agencies in China, and to provide technical references for improvement of occupational health inspection.
METHODSA survey was performed in occupational health inspection agencies that obtained eligibility before June 2011 in eight provinces: Zhejiang, Jiangsu, Shandong, Hubei, Guangxi, Shanghai, Chongqing, and Shenzhen. The survey used the General Information Questionnaire for Occupational Health Inspection Agency made by the project of Occupational Health Surveillance and Diagnosis and Identification of Occupational Diseases in China and Australia.
RESULTSA total of 650 agencies obtained eligibility for occupational health inspection in the eight provinces. These agencies contained 343 centers of disease control and prevention (CDC) or health and epidemic prevention stations (52.8%), 219 hospitals (33.7%), 25 institutes or centers for occupational disease prevention and control (3.8%), 29 community health service centers (4.5%), and 34 other agencies (5.2%) including departments of preventive and health care and preventive medicine outpatient departments. Four hundred and fifty-three agencies completed the questionnaire survey with a response rate of 69.7%. The main types of eligible agencies were different among various regions. A majority of occupational health inspection agencies were hospitals in Shanghai and Zhejiang (67.1%, 62.3%), departments of preventive and health care in Shenzhen (70.0%), and CDCs in Chongqing, Jiangsu, Hubei, and Guangxi. Each agency obtained 3.5 occupational health inspection eligibilities on average. Most of agencies could perform eligible health inspection for dust, harmful physical factors, or harmful chemical factors (84.8%, 87.9%, 87.2%). Moreover, 72.8% of agencies were eligible for all the three types of inspections. A few agencies were able to perform eligible health inspection for harmful biological factors or radiation work (22.5%, 23.0%).
CONCLUSIONAn occupational health inspection network has been established in these surveyed regions. CDCs, institutes for occupational disease prevention and control, and hospitals are the main agencies for occupational health inspection. In order to build up a network of occupational disease prevention and control, various agencies should make full use of their own advantages and enhance abilities and technical cooperation.
China ; Hospitals ; Humans ; Occupational Diseases ; epidemiology ; Occupational Health ; Occupational Health Services ; organization & administration ; Organizations ; Surveys and Questionnaires
3. Bibliometric analysis of survival status of patients with occupational pneumoconiosis
Yunhao XU ; Huanqiang WANG ; Jianfang ZOU
China Occupational Medicine 2019;46(06):695-699
OBJECTIVE: To understand the research status on living conditions of patients with occupational pneumoconiosis in China. METHODS: The Chinese academic journal database, Wanfang Chinese periodical database and VIP database were used to search the relevant domestic literatures on the survival status of patients of occupational pneumoconiosis. The NoteExpress literature management software, VOSviewer 1.6.10 software and CiteSpace 5.2 software were used to sort out and visually analyze the searched literatures. RESULTS: A total of 4 043 articles were obtained, including 2 745 journal papers, 1 165 degree papers and 133 conference papers. The publication was increasing rapidly in years. The journal papers were published in 766 journals, and the degree papers came from 257 graduate training units. Disease prevention and control institutions, occupational defense institutions, colleges and universities were the supporting units of first authors that published the largest number of periodical papers. Pneumoconiosis was a high-frequency keyword. The emerging key words in this field from 2015 to 2019 include: occupational health examination, nursing intervention, lung function, industrial injury insurance, occupational health monitoring and quality of life. CONCLUSION: The number of literatures published on the survival status of pneumoconiosis patients in China shows a trend of rapid growth. The prominent words in the current and future studies on the living conditions of pneumoconiosis patients in China are occupational health examination, nursing intervention, lung function, industrial injury insurance, occupational health monitoring and quality of life.
4.Study on clinical phenotype of coal workers pneumoconiosis
Pengyong ZHAI ; Haixue LI ; Ruifeng ZHAO ; Xueqin LI ; Huanqiang WANG
Chinese Journal of Industrial Hygiene and Occupational Diseases 2020;38(5):374-378
Objective:To explore the clinical phenotypic characteristics of coal worker's pneumoconiosis for guiding the individualized treatment of various types of patients with coal worker's pneumoconiosis.Methods:Collect clinical data of 121 cases of coal worker's pneumoconiosis in different stages, and select 16 clinical variables (age, smoking index, years of underground dust exposure, stages of pneumoconiosis, types of work, family history, main symptoms, secondary symptoms, CAT score, imaging manifestations, FVC%, FEV 1/FVC, FEV 1%, DLCO%, respiratory failure complications, pulmonary heart disease complications) . Principal Component Factor Analysis (PCA) was used to analyze 16 clinical variables of 121 patients with coal worker's pneumoconiosis. Extracted 2 principal components and 8 related variables from 16 clinical variables, then coal worker's pneumoconiosis patients were divided into three types according to CCC values. Variance analysis or χ 2 test were used to analyze the characteristics of these three types of clinical data, then summarized the clinical phenotype composition ratio and clinical data characteristics. Results:The patients with coal worker's pneumoconiosis were initially divided into three types, including 73 cases (60.3%) in type 1, 18 cases (14.9%) in type 2 and 30 cases (24.8%) in type 3. Patients in type 1 are mainly middle-aged, with little damage to lung function and mild clinical symptoms, the imaging manifestations of type 1 patients are mainly diffuse nodules, and the stages of pneumoconiosis are mostly one-stage and second-stage. Patients in type 2 are mainly in middle-aged and elderly patients.the main pulmonary impairment is diffuse function decline. The clinical symptoms are severe and the imaging manifestations are complex. The stages of pneumoconiosis are one, second and third stages. Patients in type 3 are mainly middle-aged and elderly patients, with more pulmonary function impairment (decreased ventilation and diffusion) , severe clinical symptoms, complex imaging manifestations (micro nodules, emphysema, mass shadow, fibrosis) , and those pneumoconiosis stages are mainly in the second and third stages.Conclusion:According to the clinical characteristics, the patients with coal worker's pneumoconiosis were divided into 3 types by cluster analysis method, the treatment plan has certain guiding value in clinical work according to different classifications.
5.Study on clinical phenotype of coal workers pneumoconiosis
Pengyong ZHAI ; Haixue LI ; Ruifeng ZHAO ; Xueqin LI ; Huanqiang WANG
Chinese Journal of Industrial Hygiene and Occupational Diseases 2020;38(5):374-378
Objective:To explore the clinical phenotypic characteristics of coal worker's pneumoconiosis for guiding the individualized treatment of various types of patients with coal worker's pneumoconiosis.Methods:Collect clinical data of 121 cases of coal worker's pneumoconiosis in different stages, and select 16 clinical variables (age, smoking index, years of underground dust exposure, stages of pneumoconiosis, types of work, family history, main symptoms, secondary symptoms, CAT score, imaging manifestations, FVC%, FEV 1/FVC, FEV 1%, DLCO%, respiratory failure complications, pulmonary heart disease complications) . Principal Component Factor Analysis (PCA) was used to analyze 16 clinical variables of 121 patients with coal worker's pneumoconiosis. Extracted 2 principal components and 8 related variables from 16 clinical variables, then coal worker's pneumoconiosis patients were divided into three types according to CCC values. Variance analysis or χ 2 test were used to analyze the characteristics of these three types of clinical data, then summarized the clinical phenotype composition ratio and clinical data characteristics. Results:The patients with coal worker's pneumoconiosis were initially divided into three types, including 73 cases (60.3%) in type 1, 18 cases (14.9%) in type 2 and 30 cases (24.8%) in type 3. Patients in type 1 are mainly middle-aged, with little damage to lung function and mild clinical symptoms, the imaging manifestations of type 1 patients are mainly diffuse nodules, and the stages of pneumoconiosis are mostly one-stage and second-stage. Patients in type 2 are mainly in middle-aged and elderly patients.the main pulmonary impairment is diffuse function decline. The clinical symptoms are severe and the imaging manifestations are complex. The stages of pneumoconiosis are one, second and third stages. Patients in type 3 are mainly middle-aged and elderly patients, with more pulmonary function impairment (decreased ventilation and diffusion) , severe clinical symptoms, complex imaging manifestations (micro nodules, emphysema, mass shadow, fibrosis) , and those pneumoconiosis stages are mainly in the second and third stages.Conclusion:According to the clinical characteristics, the patients with coal worker's pneumoconiosis were divided into 3 types by cluster analysis method, the treatment plan has certain guiding value in clinical work according to different classifications.
6.Comparative study on CT image characteristics of pneumoconiosis large shadow and primary lung cancer mass
Chengxia WANG ; Yi JIN ; Cheng LIU ; Zhen LIU ; Lu QIU ; Huanqiang WANG
Chinese Journal of Industrial Hygiene and Occupational Diseases 2024;42(7):523-529
Objective:To compare the CT image characteristics of pneumoconiosis large shadow and primary lung cancer mass, and analyze the value of CT image characteristics in the differential diagnosis of pneumoconiosis large shadow and primary lung cancer.Methods:In September 2022, 43 patients with stage Ⅲ pneumoconiosis who were hospitalized in Zibo Occupational Disease Prevention Hospital from January 2020 to June 2021 and 52 patients with primary lung cancer who were confirmed by pathology in the Affiliated Hospital of Jining Medical University during the same period were selected as the investigation objects, and the image characteristics of pneumoconiosis large shadow or lung cancer mass and surrounding tissues in the chest CT images of the two groups were compared. Univariate analysis, cluster analysis and cross analysis were used to screen out statistically significant indicators as independent variables, and pneumoconiosis and lung cancer as dependent variables for logistic regression analysis.Results:There were statistically significant differences between large shadow of pneumoconiosis and primary lung cancer mass in single factor CT imaging, such as irregular shape of lesions, CT attenuation value, calcification, cavitation, spiculation, liquefactive necrosis, satellite lesions, adjacent emphysema, short spicules, and pleural thickening ( P<0.05). CT value ≥92 HU (abnormal CT attenuation value), calcification, peripheral satellite lesions, pleural thickening, parapunctal emphysema, spines on the lesion margin, irregular lesion morphology were typical features of stage Ⅲ pneumoconiosis, with multiple features of aggregation. The typical features of lung cancer were liquefaction necrosis, round or quasi-round appearance, cavitation and interlobar pleura. A logistic regression model was constructed using satellite lesions, spiculation, pleural thickening, and lesion abnormal CT attenuation value had an R2 of 0.880 and an accuracy of 95.3% for differentiation. Conclusion:Abnormal CT attenuation value, calcification, peripheral satellite lesions, pleural thickening, spiculation at the edges, liquefaction necrosis, interlobar pleura involvement, and cavitation can distinguish the large shadow of stage Ⅲ pneumoconiosis from lung cancer mass.
7.Comparative study on CT image characteristics of pneumoconiosis large shadow and primary lung cancer mass
Chengxia WANG ; Yi JIN ; Cheng LIU ; Zhen LIU ; Lu QIU ; Huanqiang WANG
Chinese Journal of Industrial Hygiene and Occupational Diseases 2024;42(7):523-529
Objective:To compare the CT image characteristics of pneumoconiosis large shadow and primary lung cancer mass, and analyze the value of CT image characteristics in the differential diagnosis of pneumoconiosis large shadow and primary lung cancer.Methods:In September 2022, 43 patients with stage Ⅲ pneumoconiosis who were hospitalized in Zibo Occupational Disease Prevention Hospital from January 2020 to June 2021 and 52 patients with primary lung cancer who were confirmed by pathology in the Affiliated Hospital of Jining Medical University during the same period were selected as the investigation objects, and the image characteristics of pneumoconiosis large shadow or lung cancer mass and surrounding tissues in the chest CT images of the two groups were compared. Univariate analysis, cluster analysis and cross analysis were used to screen out statistically significant indicators as independent variables, and pneumoconiosis and lung cancer as dependent variables for logistic regression analysis.Results:There were statistically significant differences between large shadow of pneumoconiosis and primary lung cancer mass in single factor CT imaging, such as irregular shape of lesions, CT attenuation value, calcification, cavitation, spiculation, liquefactive necrosis, satellite lesions, adjacent emphysema, short spicules, and pleural thickening ( P<0.05). CT value ≥92 HU (abnormal CT attenuation value), calcification, peripheral satellite lesions, pleural thickening, parapunctal emphysema, spines on the lesion margin, irregular lesion morphology were typical features of stage Ⅲ pneumoconiosis, with multiple features of aggregation. The typical features of lung cancer were liquefaction necrosis, round or quasi-round appearance, cavitation and interlobar pleura. A logistic regression model was constructed using satellite lesions, spiculation, pleural thickening, and lesion abnormal CT attenuation value had an R2 of 0.880 and an accuracy of 95.3% for differentiation. Conclusion:Abnormal CT attenuation value, calcification, peripheral satellite lesions, pleural thickening, spiculation at the edges, liquefaction necrosis, interlobar pleura involvement, and cavitation can distinguish the large shadow of stage Ⅲ pneumoconiosis from lung cancer mass.
8. Detection of metals and metalloids in the lavage fluid of whole-lung lavage of the cases of pneumoconiosis
Ke WEN ; Chunguang DING ; Gang CHEN ; Guoxuan MA ; Huanqiang WANG
Chinese Journal of Industrial Hygiene and Occupational Diseases 2017;35(11):832-836
Objective:
To detect of the components and concentration of the metals and metalloids in the lavage fluid of whole-lung lavage (WLL) of the cases of pneumoconiosis, and analyze the characteristics, and explore the method to sample and process the samples of bronchoalveolar lavage fluid (BAL) .
Methods:
The samples of urine and serum of three cases of pneumoconiosis were collected before WLL, and the samples of BAL were collected during the WLL from the left and right lungs according to the sequence of four pressured gas flow and five negative pressure drainage. Each of 10ml original samples of WLL was collected firstly, and the left was centrifuged to acquire all the sediment samples and each of 10 ml samples from the centrifuge clear liquids, The components and concentration of the metals and metalloids in the samples were measured by Inductively Coupled Plasma mass spectrometer (ICP-MS) .
Results:
The average volume of BAL from unilat-eral lung for 3 patients was 10 758.3±1518 ml, and the average recovery rate was 89.7%. The average dry weight of sediment samples of BAL of three cases of pneumoconiosis was 0.292 gram with the right lung sam-ples slightly higher than the left lung samples. The detectable elements from the samples included Barium (Ba) , Strontium (Sr) , Calcium (Ca) , Magnesium (Mg) , Manganum (Mn) , Ferrum (Fe) , Cuprum (Cu) , Zinc (Zn) , Kalium (K) , Natrium (Na) , Selenium (Se) , Silicon (Si) and Uranium (U) . Each of concentration dis-tributions of these elements were not normal. Except for Cuprum, Selenium and Uranium, the concentrations of the other ten elements in the supernatant samples, mixture samples and sediments samples were statistical-ly different with the nonparametric test of Kruskal-Wallis. The concentrations of Natrium, Kalium and Barium in supernatant samples were higher, while the others in precipitation samples were higher. The concentration of elements in the sample from the right lung was slightly higher than that from the left lung, but there was no statistically significant difference (
9.Utilization and influencing factors of whole lung lavage for patients with pneumoconiosis in Chinese mainland from 2018 to 2021
Yun CHEN ; Xiangpei LÜ ; Gang CHEN ; Chen YU ; Huanqiang WANG ; Tao LI
China Occupational Medicine 2023;50(1):7-16
10. The basic characteristics and medical status of pneumoconiosis patients under different investigation methods
Ke WEN ; Huanqiang WANG ; Chen YU ; Xiangpei LV ; Fang QI ; Jiayang SONG
Chinese Journal of Industrial Hygiene and Occupational Diseases 2019;37(9):659-664
Objective:
To analyze the characteristics of pneumoconiosis patients and the basic status of medical treatment.
Methods:
Research objects were chosen by stratified sampling method and typical survey method from existing pneumoconiosis patients in China. The survey was carried out from March 2017 to January 2018 in nine provinces including provinces from east, medium and western region in China. Source of pneumoconiosis cases were inpatient cases, outpatient or physical-examined cases and household-investigation cases. The survey mainly included demographic and sociological characteristics, economic status, occupational history and dust exposure history, disease status, work-related injury insurance and social security status and related indicators of pneumoconiosis treatment.
Results:
Investigated 1037 pneumoconiosis cases which included 186 (19.9%) household-investigation cases, 212 (20.4%) outpatient or physical-examined cases and 639 (61.7%) inpatient cases. Demographic and sociological characteristics, individual monthly income, economic source, occupational history and work-related injury insurance were statistically significant among different source of pneumoconiosis patients (