Characteristics and Trends of Pneumoconiosis in the Jiangsu Province, China, 2006⁻2017

Antimoniosis: Radiological Insights into a Rare Pneumoconiosis in Miners

Aim

Pneumoconiosis describes diseases caused by the accumulation of inorganic dust particles in the lungs, leading to tissue damage. The diagnosis relies on a history of exposure and compatible radiological findings.

Background

We aimed to investigate the radiological findings in individuals exposed to antimony-inert dust relative to their working periods.

Objective

Fifty-six symptomatic male antimony miners were retrospectively evaluated for demographics and chest computed tomography (CT) scans.

Methods

The demographic and radiological data of patients with a history of antimony mining, who presented at our pulmonary clinic between June 2017 and June 2023, were analyzed according to the duration of exposure.

Results

The study included 56 male patients with a mean age of 58.5±13.02 years and a mean exposure duration of 13.63 ± 6.82 years. CT scans showed that 73.2% (n=41) had upper and middle lung zone involvement, and 55.4% (n=31) had extensive involvement. Micronodules with centriacinar ground-glass opacities were the most common finding (n=37, 66.1%), followed by nodular opacities with irregular margins (n=22, 39.3%) and solid micronodules (n=20, 35.7%). Patients with over 20 years of exposure had significantly higher rates of respiratory and cardiovascular disease (p<0.05). Increased exposure time correlated with more extensive parenchymal involvement and higher rates of calcification in mediastinal lymph nodes, solid micronodules, nodular opacities with irregular margins, honeycombing, and conglomerate mass appearance.

Conclusion

Radiological findings in pneumoconiosis generally worsen with longer exposure. Given the scarcity of up-to-date information on antimony pneumoconiosis, further studies focusing on radiological findings and chemical analyses of those exposed to antimony mine dust are essential to identify related pathologies.

Critical assessment of the effectiveness of different dust control measures in a granite quarry

The exposure to respirable crystalline silica found in granite dust presents significant health hazards to quarry workers and nearby communities, including silicosis and various respiratory ailments. This study evaluates the efficacy of various pollution control measures implemented in granite quarries. It aimed to provide a comprehensive critical assessment of the effectiveness of various dust control measures, considering their mechanisms, impact on air quality, and implications for worker health and community welfare. The strategy involved compiling and systematically analysing existing research articles, literature, and industry reports. The investigation identified three primary categories of measures: engineering controls, water-based suppression methods, and technological solutions. The study highlighted the significance of environmental impact and sustainability factors in selecting measures. These factors include water and energy consumption, production of secondary pollutants, long-term ecological effects, regulatory compliance, and cost-effectiveness. Operators and policymakers should utilize integrated, context-specific, inventive, and interdisciplinary strategies to efficiently control particle emissions from granite quarrying.

Occupational survey-based evidence of health status and welfare problems of workers with pneumoconiosis in China

Background

Pneumoconiosis is the most dangerous occupational disease in China. According to unofficial records, nearly million migrant workers were affected by pneumoconiosis in 2011, with the number increasing annually. Among them, a large number of migrant workers suffering from pneumoconiosis were not medically diagnosed. Therefore, fundamental questions remain unanswered: what is the background of workers who receive a diagnosis of pneumoconiosis, and how does pneumoconiosis affect their future and well-being?

Methods

In this study, we identified and surveyed 1,134 workers with pneumoconiosis in seven selected regions in China with substantially high incidences of pneumoconiosis by using a combination of cluster sampling, convenience sampling, and snowball sampling. We used demographic, medical, and rehabilitation conditions and welfare questionnaires to collect the data.

Results

The findings highlighted the socioeconomic status of patients with pneumoconiosis. The majority of workers with pneumoconiosis were adult men who had received no higher education, who lived in rural households, and who were employed in mining or manufacturing industries. Among these workers, 52.8% had been exposed to dust at work for more than 10 years, and 53.1% received a diagnosis of stage II or III pneumoconiosis. More than half of the workers (569 workers, 50.2%) did not receive comprehensive, routine treatment; 33.4% (379 workers) visited a doctor when they experienced physical discomfort, and 6.6% (75 workers) never received treatment. Only 156 workers (13.8%) received rehabilitation services, whereas 978 workers (86.2%) never did. The study results also revealed the severe financial difficulties faced by patients with pneumoconiosis. Only 208 workers (18.3%) had access to work-related injury insurance, with the cost of pneumoconiosis treatment being a substantial burden for 668 workers (60.6%).

Conclusion

In this study, we explored the existing health and welfare problems faced by workers with pneumoconiosis in China and identified the social injustice and health disparities that these workers experience. We also clarified the primary challenges in implementing safety, health, and welfare policies for these workers and those who are exposed to high-risk environments, such as those working in mining.

Environmental hazards posed by mine dust, and monitoring method of mine dust pollution using remote sensing technologies: An overview

The over-exploitation of mineral resources has led to increasingly serious dust pollution in mines, resulting in a series of negative impacts on the environment, mine workers (occupational health) and nearby residents (public health). For the environment, mine dust pollution is considered a major threat on surface vegetation, landscapes, weather conditions and air quality, leading to serious environmental damage such as vegetation reduction and air pollution; for occupational health, mine dust from the mining process is also regarded as a major threat to mine workers' health, leading to occupational diseases such as pneumoconiosis and silicosis; for public health, the pollutants contained in mine dust may pollute surrounding rivers, farmlands and crops, which poses a serious risk to the domestic water and food security of nearby residents who are also susceptible to respiratory diseases from exposure to mine dust. Therefore, the second section of this paper combines literature research, statistical studies, and meta analysis to introduce the public mainly to the severity of mine dust pollution and its hazards to the environment, mine workers (occupational health), and residents (public health), as well as to present an outlook on the management of mine dust pollution. At the same time, in order to propose a method for monitoring mine dust pollution on a regional scale, based on the Dense Dark Vegetation (DDV) algorithm, the third section of this paper analysed the aerosol optical depth (AOD) change in Dexing City of China using the data of 2010, 2014, 2018 and 2021 from the NASA MCD19A2 Dataset to explore the mine dust pollution situation and the progress of pollution treatment in Dexing City from 2010 to 2021. As a discussion article, this paper aims to review the environmental and health risks caused by mine dust pollution, to remind the public to take mine dust pollution seriously, and to propose the use of remote sensing technologies to monitor mine dust pollution, providing suggestions for local governments as well as mines on mine dust monitoring measures.

Characteristics of pneumoconiosis in Zhejiang Province, China from 2006 to 2020: a descriptive study

BACKGROUND

Pneumoconiosis is the most prevalent occupational disease and displays different patterns in each province of China. Clarifying specific incidence patterns and temporal trends in Zhejiang Province can help provide valuable information on the prevention of pneumoconiosis.

METHODS

Annual reports of pneumoconiosis for Zhejiang Province from 2006 to 2020 were extracted from the National Occupational Disease and Occupational Health Information Monitoring System. The information of cases included regions, diagnosis ages, genders, exposure durations, pneumoconiosis categories and stages, the first year of exposure, enterprise industries, scales and ownerships.

RESULTS

Totally 6037 new cases of pneumoconiosis were reported between 2006 and 2020, which increased at first and then gradually declined since 2013. Among all pneumoconiosis cases, silicosis accounted for the majority (72.17%). Most of the cases occurred in small-scale and domestic-funded enterprises, which accounted for 71.75% and 96.97%, respectively. When analyzing the industry distribution, the cases were mainly concentrated in mining (37.12%), manufacturing (31.11%) and 'public administration and social organization' (23.94%) industry. The average diagnosis age among the pneumoconiosis cases was 55.44 years, and the median exposure duration was 11.00 years. Significantly older diagnosis age and longer exposure duration were found in females, coal workers' pneumoconiosis cases, cases with higher stages, cases with the first year of dust exposure earlier and cases from large-scale companies. In regional distribution, the top three cities reporting the most pneumoconiosis cases in Zhejiang Province were Taizhou, Quzhou and Hangzhou.

CONCLUSION

The current situation of pneumoconiosis in Zhejiang Province was still serious, and government should further strengthen the surveillance of occupational diseases and supervision of enterprises. Moreover, publicity and education regarding pneumoconiosis should be carried out to raise awareness of dust exposure risk and associated health consequences.

Clinical outcomes and survival following lung transplantation for work-related lung disease: a single-center retrospective cohort study

BACKGROUND

Patients with work-related lung disease (WRLD) are at increased risk of death caused by severe lung tissue damage and fibrosis. This study aimed to assess the clinical outcomes of lung transplantation (LTx) for WRLD and compare the results of LTx between WRLD and idiopathic pulmonary fibrosis (IPF).

METHODS

This single-center retrospective cohort study reviewed the clinical data of patients who underwent LTx for WRLD or IPF at our hospital between January 2015 and December 2021. Cumulative survival rates after LTx were estimated using the Kaplan-Meier method.

RESULTS

The final analysis included 33 cases of WRLD and 91 cases of IPF. The 33 WRLD patients consisted of 19 (57.6%) cases of silicosis, 8 (24.2%) cases of coal workers' pneumoconiosis, 3 (9.09%) cases of asbestosis, and 3 (9.09%) cases of other WRLD. Pneumothorax as an indication for LTx was significantly more common in the WRLD group than in the IPF group (51.5% vs. 2.2%, P < 0.001). There was no significant difference in the 5-year cumulative survival rate between the WRLD patients and the IPF patients (66.6% vs. 56.7%, P = 0.67). There was no significant difference in the best performance of exercise capacity and lung function between the two groups at 1 year post-transplant.

CONCLUSIONS

LTx had similar survival outcomes and lung function for WRLD and IPF patients. Pneumothorax was the primary indication for lung transplantation in WRLD.

Characteristics of Diagnosed and Death Cases of Pneumoconiosis in Hubei Province, China, 1949-2019

OBJECTIVE

This study aims to summarize the characteristics of diagnosed pneumoconiosis and pneumoconiosis death in the Hubei Province of China, between the years 1949 and 2019, and provide clues for the scientific prevention of pneumoconiosis.

METHODS

We recruited 23,069 pneumoconiosis cases in Hubei Province, China, from 1949 to 2019. Basic information and occupational surveillance information were obtained from the Hubei Occupational Diseases and Health Risk Factors Information Surveillance System.

RESULTS

The annually diagnosed pneumoconiosis cases showed an overall increasing trend from 1949 to 2019 in Hubei Province. The major types of pneumoconiosis were coal workers' pneumoconiosis (CWP, 49.91%) and silicosis (43.39%). Pneumoconiosis cases were mainly engaged in mining (75.32%) and manufacturing (12.72%), and were distributed in Huangshi (35.48%), Yichang (16.16%), and Jingzhou (7.97%). CWP (47.50%) and silicosis (44.65%) accounted for most of the deaths.

CONCLUSIONS

The number of pneumoconiosis cases and deaths in Hubei increased in the period of 1949 to 2019. Silicosis and CWP contributed to the predominant types of pneumoconiosis. Prevention and control measures should continue to be taken to reduce the morbidity and mortality of pneumoconiosis.

Knowledge and awareness on pneumoconiosis among dental technicians and senior dental technology students in Saudi Arabia

Dental technicians' pneumoconiosis is a condition that causes interstitial inflammation and fibrosis as a result of complex drug exposure. Therefore, it is of interest to assess and evaluate the knowledge and awareness about pneumoconiosis and other respiratory disorders among dental technicians and dental technology students in Saudi Arabia. A cross sectional survey was conducted on convenient sample of 300 senior dental technician students and dental technicians from Saudi Arabia and informed consent was obtained. The participants were approached through online questionnaire using Google forms. Questions were related to the socio-demographic data, knowledge and awareness of the students and the practicing dental technicians and their willingness to learn about pneumoconiosis. Final year undergraduate, interns and Dental technicians were included, undergraduate students without practical knowledge and experience and participants with history of respiratory disease were excluded from the study. Questions were assessed by face validity. The data was analyzed using Statistical Package for Social Sciences software. Descriptive statistics was calculated. 34.8% of the study group were not aware of the term and don't know about the etiology of pneumoconiosis. Pearson correlation was significant in terms of awareness difference between males and females and females had less awareness compared to males.

Proportions distribution of pneumoconiosis stages in China: a study based on a meta-analysis and field investigation

Occupational pneumoconiosis is the most serious work-related disease in China. In this paper, pneumoconiosis stages distribution was obtained to study the stages severity of occupational pneumoconiosis patients in China. A meta-analysis was conducted among screening the published literature on the pneumoconiosis epidemiology in China by Stata 15.0. Moreover, a field survey was conducted on 510 migrant workers suffering from pneumoconiosis in four provinces of China, and the results were analyzed by simple linear analysis and ordinal logistic regression analysis. The stage I, II and III pneumoconiosis accounted for 0.71, 0.21, 0.08, respectively, by the results of meta-analysis. The publication bias of these articles is not obvious based on the Egger's test and funnel plots. There was no significant linear correlation between the distribution of pneumoconiosis stages and the economic status and medical conditions in this study. Migrant workers pneumoconiosis stage I, II and III accounted for 0.14, 0.2, 0.66 respectively, which was significantly correlated with length of work and provinces. In China, migrant workers lack effective occupational health protection so that they have higher occupational health risks than urban workers. Therefore, occupational health protection for migrant workers in the occupational health management system needs to be strengthened.

Differentiation and prediction of pneumoconiosis stage by computed tomography texture analysis based on U-Net neural network

BACKGROUND AND OBJECTIVE

The progressive worsening of pneumoconiosis will ensue a hazardous physical condition in patients. This study details the differential diagnosis of the pneumoconiosis stage, by employing computed tomography (CT) texture analysis, based on U-Net neural network.

METHODS

The pneumoconiosis location from 92 patients at various stages was extracted by U-Net neural network. Mazda software was employed to analyze the texture features. Three dimensionality reduction methods set the best texture parameters. We applied four methods of the B11 module to analyze the selected texture parameters and calculate the misclassified rate (MCR). Finally, the receiver operating characteristic curve (ROC) of the texture parameters was analyzed, and the texture parameters with diagnostic efficiency were evaluated by calculating the area under curve (AUC).

RESULTS

The original film was processed by Gaussian and Laplace filters for a better display of the segmented area of pneumoconiosis in all stages. The MCR value obtained by the NDA analysis method under the MI dimension reduction method was the lowest, at 10.87%. In the filtered texture feature parameters, the best AUC was 0.821.

CONCLUSIONS

CT texture analysis based on the U-Net neural network can be used to identify the staging of pneumoconiosis.

Efficacy of comprehensive nursing in patients with pneumoconiosis and its influence on quality of life

OBJECTIVE

To investigate the efficacy of comprehensive nursing for patients with pneumoconiosis and its influence on patients' quality of life (QoL).

METHODS

Sixty-two patients with pneumoconiosis diagnosed and treated in the Henan Provincial Institute for Occupational Health (Henan No. 3 Provicial People's Hospital) from October 2018 to October 2019 were included in this retrospective study. According to the nursing model, patients receiving comprehensive nursing were included in the experimental group (n=31) and those receiving general care were included in the reference group (n=31). The pulmonary function (PF) indices, QoL score, emotional score and health behavior compliance were compared between the two groups before and after nursing.

RESULTS

(1) A significantly higher overall response rate was determined in the experimental group compared with the reference group (P<0.05). (2) There were no significant differences in heart rate (HR) and oxygen saturation between the two groups before nursing intervention (P>0.05). After nursing, significantly lower HR and higher oxygen saturation were observed in the experimental group compared with the reference group (all P<0.05). (3) The PF indexes also showed no significant differences between the two groups before nursing (P>0.05). After nursing, the experimental group exhibited higher forced expiratory volume in 1 second percent predicted (FEV1%_pred), forced vital capacity percent predicted (FVC%_pred), and blood oxygen partial pressure than the reference group, with statistical significance (all P<0.05). (4) The two groups showed similar QoL before nursing (P>0.05). After nursing, the experimental group scored significantly higher in physiological function, mental health, social function and vitality than the reference group (P<0.05). (5) The Self-Rating Anxiety Scale (SAS) and Self-Rating Depression Scale (SDS) scores, which were not statistically different between groups before nursing (P>0.05), were significantly lower in the experimental group after nursing compared with reference group (P<0.05). (6) The compliance of medication, diet, respiratory training and home oxygen therapy was higher in the experimental group compared with the reference group, showing statistical significance (P<0.05).

CONCLUSIONS

Comprehensive nursing care for patients with pneumoconiosis can effectively enhance the curative effect, PF and QoL of patients, improve their HR, oxygen saturation and mood, and enhance their compliance with health behaviors.

Serum Levels of Mitochondrial Fission- and Fusion-Related Genes of Coal Workers' Pneumoconiosis and Risk Factor Analysis Based on a Generalized Linear Model

Objective

We aimed to explore the risk factors for coal workers' pneumoconiosis and to further explore the significance of mitochondrial fission and fusion factors in CWP and verify the feasibility of mitochondrial fission and fusion factors as diagnostic and therapeutic targets.

Methods

The data of 168 cases were collected, and they were divided into a healthy control group (40 cases), dust exposure control group (61 cases), and CWP group (67 cases) and entered into SPSS 24.0. The statistical data were analyzed by the chi-square test or Fisher's exact probability method. The variables with statistically significant differences of the univariate analysis results were included in the generalized linear model. Test level was α = 0.05. Blood samples were collected to detect the ROS content, MDA content, and SOD activity. The mRNA expression levels of OPA1, Drp1, MFN2, Fis1, Col I, Col III, and α-SMA were determined by q-PCR. The protein expression levels of OPA1, Drp1, MFN2, Fis1, Col I, Col III, and α-SMA were detected by western blot.

Results

Generalized linear regression analysis showed that lower school education, no respiratory protective measures, the working age beyond 15 years, and the type of work like coal mine drillers were the risk factors for CWP. With the aggravation of CWP, the degree of fibrosis and inflammation increased oxidative damage, increased mitochondrion division, and decreased fusion, which were more sensitive in the second and third stages of CWP.

Conclusion

The results in this found that mitochondria are injured by fission and fusion in the CWP patients. Detection of the mitochondria fission and fusion factors provides the application value to evaluate the injury degree and progress of CWP and the clues for finding the real and effective screening and diagnosis biomarkers.

Intelligent Image Diagnosis of Pneumoconiosis Based on Wavelet Transform-Derived Texture Features

Objective. Early diagnosis and treatment of occupational pneumoconiosis can delay the development of the disease. This study is aimed at investigating the intelligent diagnosis of occupational pneumoconiosis by wavelet transform-derived entropy. Method. From June 2013 to June 2020, the high KV digital radiographs (DR) and computed tomography (CT) images from a total of 60 patients with occupational pneumoconiosis in our department were selected. The wavelet transform-derived texture features were extracted from all images, and the decision tree was used for feature selection. The support vector machines (SVM) with three kernel functions were selected to classify the two kinds of images, and their diagnostic efficiency was compared. Result. After eight times of wavelet decomposition, eight wavelet entropy texture features (feature set) were extracted, and six were selected to form the feature subset. The classification effect of linear kernel function SVM is better than those of other functions, with an accuracy of 84.2%. The diagnostic values of DR and CT for occupational pneumoconiosis were the same ( $\text{kappa}=0.737,P<0.001$ ). The detection rate of CT for stage I of occupational pneumoconiosis was significantly higher than that of DR ( $P=0.031$ ). Conclusion. It is helpful to improve the early diagnosis level of pneumoconiosis by using SVM to make an intelligent diagnosis based on the wavelet entropy.

Socioeconomic Status, Occupational Disease, and Psychological Well-Being: Evidence from People with Pneumoconiosis in China

Background: Pneumoconiosis is one of the most prevalent occupational diseases in China. The present study aims to examine the status, needs, and challenges of people with pneumoconiosis from a socioeconomic perspective and to reveal the mechanisms by which the disease is linked to their psychological well-being. This study also examines the association of the social security subsidy to such mechanism. Methods: A questionnaire survey of 1134 respondents from seven cities or districts in China was conducted from 2014 to 2016. Generalized Structural Equation Modeling (GSEM) was employed to complete the analysis using Stata 16. Results: Respondents with poor socioeconomic status engaged longer in dusty work and had higher stages of pneumoconiosis, complications, and aggravation. These, in turn, were linked to their socioeconomic status due to high treatment expenditure and loss of the ability to work, which were negatively associated with their psychological well-being. Social security assistance and subsidies could help improve their socioeconomic status. Conclusions: This study provides evidence for the mechanism of social factors linking to physical health and further to psychological well-being among people with pneumoconiosis. Social security assistance and subsidies should be urgently provided for them to improve their socioeconomic status and their psychological well-being.

Mortality from silicosis in Brazil: Temporal trends in the period 1980-2017

BACKGROUND

Silicosis is the most prevalent pneumoconiosis in Brazil. We aimed to estimate mortality rates and temporal trends for silicosis, and to identify areas of highest mortality.

METHODS

Records of silicosis as the underlying (1980-2017) or contributory (2000-2017) cause of death in adults aged 20 years and older were retrieved from the Brazilian Mortality Database. Age-standardized mortality rates (ASMR) were calculated. The annual trend in ASMR was analyzed by joinpoint regression. Mortality rates per 100,000 person-years were calculated for each municipality. We analyzed temporal trends in municipalities where similar activities with exposure to silica were performed.

RESULTS

There were 3164 death records (96.6% men) distributed over 14% of the municipalities. Mean age of death was 59.2 (SD 15.1) and mean ASMR was 0.085/100,000 (confidence interval 0.080-0.091). Joinpoint regression showed a significant increase in ASMR from 1980 to 2006 and a significant decrease after 2006 driven by a decline in deaths of individuals younger than 70 years. The highest mortality rate was 21.83/100,000 person-years, in a municipality with small mining operations for gems. Gold mining municipalities showed the highest composite death rate, 4.0/100,000 person-years. Tuberculosis was the main cause of death when silicosis was a contributing cause.

CONCLUSIONS

In contrast with developed countries, silicosis mortality in Brazil increased to 2006 and subsequently started to drop, mostly from a plateau or decrease in deaths occurring in municipalities which regulated economic activities. However, this decrease did not occur in the older age group nor in the unregulated sector, the latter being the main challenge for exposure control and surveillance.

Respiratory traits and coal workers' pneumoconiosis: Mendelian randomisation and association analysis

OBJECTIVES

Susceptibility loci of idiopathic pulmonary fibrosis and chronic obstructive pulmonary disease were also significantly associated with the predisposition of coal worker's pneumoconiosis (CWP) in recent studies. However, only a few genes and loci were targeted in previous studies.

METHODS

To systematically evaluate the genetic associations between CWP and other respiratory traits, we reviewed the reported genome-wide association study loci of five respiratory traits and then conducted a Mendelian randomisation study and a two-stage genetic association study.

RESULTS

Interestingly, we found that for each SD unit, higher lung function was associated with a 66% lower risk of CWP (OR=0.34, 95% CI: 0.15 to 0.77, p=0.010) using conventional Mendelian randomisation analysis (inverse variance weighted method). Moreover, we found susceptibility loci of interstitial lung disease (rs2609255, OR=1.29, p=1.61×10^-4) and lung function (rs4651005, OR=1.39, p=1.62×10^-3; rs985256, OR=0.73, p=8.24×10^-4 and rs6539952, OR=1.28, p=4.32×10^-4) were also significantly associated with the risk of CWP. Functional annotation showed these variants were significantly associated with the expression of FAM13A (rs2609255, p=7.4 ×10^-4), ANGPTL1 (rs4651005, p=5.4 ×10^-7), SPATS2L (rs985256, p=1.1 ×10^-5) and RP11-463O9.9 (rs6539952, p=7.1 ×10^-6) in normal lung tissues, which were related to autophagy pathway simultaneously according to enrichment analysis.

CONCLUSIONS

These results provided a deeper understanding of the genetic predisposition basis of CWP.

Predictors of silicosis and variation in prevalence across mines among employed gold miners in South Africa

Background

The stated intention to eliminate silicosis from the South African goldmining industry as well as current programmes to find and compensate ex-miners with silicosis require an understanding of variation in silicosis prevalence across the industry. We aimed to identify the predictors of radiological silicosis in a large sample of working miners across gold mines in South Africa.

Methods

Routine surveillance chest radiographs were collected from 15 goldmine “clusters” in a baseline survey undertaken in preparation for a separate tuberculosis isoniazid prophylaxis trial. All images were read for silicosis by a health professional experienced in using the International Labour Organisation (ILO) classification. Profusion thresholds of > 1/0 and > 1/1 were used. Demographic and occupational information was obtained by questionnaire. Predictors of silicosis were examined in a multivariable logistic regression model, including age, gender, racial ascription, country of origin, years since starting mine employment, mine shaft, skill category, underground work status and tuberculosis.

Results

The crude silicosis prevalence at ILO > 1/1 was 3.8% [95% confidence interval (CI) 3.5–4.1%]. The range across mine shafts was 0.8–6.9%. After adjustment for covariates, the interquartile range across shafts was reduced from 2.4 to 1.2%. Black miners [adjusted odds ratio (aOR) 2.8; 95% CI 1.1–7.2] and miners in full-time underground work (aOR 2.1; 95% CI 1.3–3.4) had substantially elevated odds of silicosis, while workers from Mozambique had lower odds (aOR 0.54; 95% CI 0.38–0.77). Silicosis odds rose sharply with both age and years since starting in the industry (p for linear trend < 0.005), with 95.5% of affected miners having > 15 years since first exposure and 2.2% < 10 years.

Conclusions

In surveillance of silicosis in working gold miners time since first exposure remains a powerful predictor. Age appears to be an independent predictor, while the detection of radiological silicosis in short-service miners requires attention. Public risk reporting by mines should include factors bearing on silicosis prevalence, specifically dust concentrations, with independent verification. Studies of silicosis and tuberculosis in ex-miners are needed, supported by an accessible electronic database of the relevant medical and dust exposure records of all gold miners.

Trends in global, regional and national incidence of pneumoconiosis caused by different aetiologies: an analysis from the Global Burden of Disease Study 2017

OBJECTIVES

Pneumoconiosis remains a major global occupational health hazard and illness. Accurate data on the incidence of pneumoconiosis are critical for health resource planning and development of health policy.

METHODS

We collected data for the period between 1990 and 2017 on the annual incident cases and the age-standardised incidence rates (ASIR) of pneumoconiosis aetiology from the Global Burden of Disease Study 2017. We calculated the average annual percentage changes of ASIR by sex, region and aetiology in order to determine the trends of pneumoconiosis.

RESULTS

Globally, the number of pneumoconiosis cases increased by a measure of 66.0%, from 36 186 in 1990 to 60 055 in 2017. The overall ASIR decreased by an average of 0.6% per year in the same period. The number of pneumoconiosis cases increased across the five sociodemographic index regions, and there was a decrease in the ASIR from 1990 to 2017. The ASIR of silicosis, coal workers' pneumoconiosis and other pneumoconiosis decreased. In contrast, measures of the ASIR of asbestosis displayed an increasing trend. Patterns of the incidence of pneumoconiosis caused by different aetiologies were found to have been heterogeneous for analyses across regions and among countries.

CONCLUSION

Incidence patterns of pneumoconiosis which were caused by different aetiologies varied considerably across regions and countries of the world. The patterns of incidence and temporal trends should facilitate the establishment of more effective and increasingly targeted methods for prevention of pneumoconiosis and reduce associated disease burden.

The National Institute for Occupational Safety and Health B Reader Certification Program-An Update Report (1987 to 2018) and Future Directions

OBJECTIVE

The National Institute for Occupational Safety and Health (NIOSH) B Reader Program provides the opportunity for physicians to demonstrate proficiency in the International Labour Office (ILO) system for classifying radiographs of pneumoconioses. We summarize trends in participation and examinee attributes and performance during 1987 to 2018.

METHODS

Since 1987, NIOSH has maintained details of examinees and examinations. Attributes of examinees and their examination performance were summarized. Simple linear regression was used in trend analysis of passing rates over time.

RESULTS

The mean passing rate for certification and recertification for the study period was 40.4% and 82.6%, respectively. Since the mid-1990s, the number of B Readers has declined and the mean age and years certified have increased.

CONCLUSIONS

To address the declining B Reader population, NIOSH is currently taking steps to modernize the program and offer more opportunities for training and testing.

miRNA sequencing reveals miRNA-4508 from peripheral blood lymphocytes as potential diagnostic biomarker for silica-related pulmonary fibrosis: A multistage study

BACKGROUND AND OBJECTIVE

This study aimed to identify miRNA as potential diagnostic biomarkers for silica-related pulmonary fibrosis (SPF).

METHODS

We first performed a comprehensive miRNA-seq screening in PBL of eight subjects exposed to silica dust (four individuals with SPF and four healthy controls). The promising miRNA were then evaluated in the first-stage validation using an independent GEO data set (GSE80555) of 6 subjects (3 individuals with SPF and 3 healthy controls), followed by a second-stage validation using 120 subjects exposed to silica dust (60 individuals with SPF and 60 healthy controls).

RESULTS

Thirty-five miRNA showed strong expression differences in miRNA-seq screening, while miRNA-4508 (P = 9.52 × 10^-3 ) was retained as a candidate after the first-stage validation (GSE80555), which was further confirmed in the second-stage validation with similar and strong effect (P = 9.93 × 10^-17 ). ROC analysis showed that miRNA-4508 could distinguish SPF cases from healthy controls with high AUC (0.886), with sensitivity of 81.7% and specificity of 86.7%. In addition, the miRNA-4508 upstream rs6576457 mutant A allele exhibited a strong association with susceptibility to SPF (OR = 1.64, 95% CI = 1.20-2.23, P = 0.002), while eQTL analysis revealed a potential association between different genotypes of rs6576457 and miRNA-4508 expression (P = 0.068) in 60 healthy subjects with silica dust exposure.

CONCLUSION

miRNA-4508 may be a potential diagnostic marker for SPF, and rs6576457, a functional variant of miRNA-4508, may affect SPF susceptibility. The detailed mechanism of action of this miRNA remains to be elucidated.

Prediction of the length of service at the onset of coal workers' pneumoconiosis based on neural network

Three environmental parameters, i.e. dust concentrations, dust dispersion, and free silica content, were introduced into the traditional indices of the neural network model in order to construct a new prediction index and explore a new method for preventing the incidence of pneumoconiosis with intelligent accuracy and universality. Data of the pneumoconiosis patients from Huabei Mining Group (HBMG) of China from 1980 to 2017 were collected. SPSS22.0 was used to develop the combined models based on Back Propagation (BP) neural network model, Radial Basis Function (RBF) neural network model, and Multiple Linear Regression (MLR) model. The paired sample t-test was performed between the real and predicted values. According to this model, it was predicted that 382 coal workers in HBMG were likely to suffer from pneumoconiosis in 2022 and the incidence rate was 4.48%. It is necessary to take prevention measures and transfer these workers from their current positions. In four combined models, the BP-MLR combined model achieved the optimal error parameters and the most accurate prediction. This study provided a scientific basis for effective control and prevention of the incidence of the pneumoconiosis.