Urine LMs quantitative analysis strategy development and LMs CWP biomarkers discovery.

Coal workers' pneumoconiosis (CWP) is one of the most common inhalation occupational diseases. It is no effective treatment methods. Early diagnosis of CWP could reduce mortality. Lipid mediators (LMs) as key mediators in the generation and resolution of inflammation, are natural biomarkers for diagnosis inflammatory disease, such as CWP. The UHPLC-MRM technique was used to detect LMs in urine. The metabolic network of LMs in CWP and CT group samples was comprehensively analyzed. Screening for major difference compounds between the two groups. Aimed to contribute to the early diagnosis and treatment of CWP. Urinary levels of 13-OxoODE, 9-OxoODE, and 9,10-EpOME were significantly higher in the CWP group compared with the CT group (P < 0.05). In the model group, the area under the receiver operating characteristic (ROC) for 9-OxoODE,13-OxoODE,9,10-EpOME was 84.4%, 73.3%, and 80.9%, respectively. In the validation group, the area under the ROC was 87.0%, 88.8%, and 68.8% for 9-OxoODE,13-OxoODE,9,10-EpOME, respectively. According to the logistic regression model, the area under the ROC was 80.4% in the model group and 86.7% in the validation group. 13-OxoODE,9-OxoODE,9,10-EpOME could be used as biomarkers for early diagnosis. Significant abnormalities of LOX and CYP450 enzyme pathways were seen in CWP organisms. Changes in the CYP450 enzyme pathway may be associated with PAHs.

Vitamin D3 reverses immune tolerance and enhances the cytotoxicity of effector T cells in coal pneumoconiosis.

Coal worker's pneumoconiosis (CWP) is a common occupational disease that coal miners are highly susceptible due to long-term exposure to coal dust particles (CDP). CWP can induce the accumulation of immune cells surrounding the bronchioles and alveoli in the lungs, resulting in pulmonary fibrosis and compromised immune function. Using single-cell RNA sequencing (scRNA-Seq), our previous studies disclose that CDP exposure triggers heterogeneity of transcriptional profiles in mouse pneumoconiosis, while Vitamin D3 (VitD3) supplementation reduces CDP-induced cytotoxicity; however, the mechanism by which how VitD3 regulates immune status in coal pneumoconiosis remains unclear. In this study, we elucidated the heterogeneity of pulmonary lymphocytes in mice exposed to CDP and demonstrated the therapeutic efficacy of VitD3 using scRNA-Seq dataset. The validation of key lymphocyte markers and their functional molecules was performed using immunofluorescence. The results demonstrated that VitD3 increased the number of naive T cells by modulating CD4 + T cell differentiation and decreased the number of Treg cells in CDP-exposed mice, thereby enhancing the cytotoxic activity of CD8 + effector T cells. These effects markedly alleviated lung fibrosis and symptoms. Taken together, the mechanism by which VitD3 regulates the functions of lymphocytes in CWP provides a new perspective for further research on the prevention and treatment of CWP.

Esophageal anthracosis occurred after treatment of esophageal tuberculosis secondary to mediastinal tuberculous lymphadenitis: a rare case report.

BACKGROUND: Anthracosis is a disease generally considered to be in the lungs resulting from exposure to industrial dust in the workplace. Esophageal anthracosis is a fairly rare phenomenon and shows a strong correlation with tuberculosis. Moreover, esophageal involvement in tuberculosis is also rare. We here present an extremely rare case in which follow-up gastroesophageal endoscopy revealed a mass with a sunken, black area in the center and raised ring-like pattern in the surrounding mucosa resembling malignant melanoma. Uncovering the patient's tuberculosis history finally avoided a misdiagnosis or overtreatment. CASE PRESENTATION: A 67-year-old male patient was admitted to the hospital due to "repeated chest pain for 1 month". Endoscopic ultrasonography and contrast-enhanced CT scans revealed a mass adjacent to the esophageal wall with unclear boundaries. Aspiration biopsy confirmed that esophageal tuberculosis was caused by nearby mediastinal tuberculous lymphadenitis. After a standard anti-tuberculosis treatment regimen, the patient achieved a favorable prognosis. The follow-up gastroesophageal endoscopy showed a sunken black lesion with elevated peripheral mucosa replacing the original tuberculous mass, which was thought to be anthracosis, a disease that rarely occurs in the esophagus. CONCLUSION: The diagnosis of tuberculosis should be taken into consideration when a submucosal mass appears in the middle part of the esophagus. Endoscopic ultrasonography can effectively contribute to a definite diagnosis. Moreover, this is the first case of esophageal anthracosis observed only 1 year after the treatment of tuberculosis, indicating esophageal anthracosis can be a short-term disease. The traction of the reduction of tubercular mediastinal lymph nodes after anti-tuberculosis treatment may create a circumstance for pigmentation or dust deposition.

Genetic susceptibility in pneumoconiosis in China: a systematic review.

OBJECTIVE: Pneumoconiosis, encompassing coal workers' pneumoconiosis (CWP), silicosis and asbestosis, is one of the most common occupational diseases in China. Previous studies revealed significant associations between genetic variations and pneumoconiosis risk among individuals in different countries. With the known variability of genetic makeup between ethnicities, susceptibility to pneumoconiosis due to genetic differences is likely to be ethnicity-specific. The present review aimed at providing a comprehensive overview on the association between genetic polymorphisms and susceptibility of pneumoconiosis, specifically among people in China. METHODS: The literature search was performed in seven English and Chinese databases using keywords related to the review aim. An appraisal of the methodological quality of the included studies was conducted using the assessment tool derived from the Strengthening the Reporting of Genetic Association Studies (STREGA) statement. RESULTS: Forty-five studies were included in this review. Genotypes of specific genes which are associated with the risk of CWP, silicosis and asbestosis were reported. Our findings showed that genes encoding inflammatory cytokines have been examined extensively, and they demonstrated an association between these genes and pneumoconiosis risk. Gene-environment interactions in pneumoconiosis susceptibility were also reported by a number of studies. CONCLUSIONS: This review summarised the evidence demonstrating the association between genetic polymorphisms and pneumoconiosis susceptibility among people in China, and that various genotypes could modify their risk to develop pneumoconiosis. The findings prompt that identification of individuals at high pneumoconiosis risk through genetic screening and strategies limiting their exposure to dust could be a potential strategy for the control of this occupational disease in China.

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.

Exosomal miRNAs contribute to coal dust particle-induced pulmonary fibrosis in rats.

Coal workers' pneumoconiosis (CWP) is a fatal occupational disease caused by inhalation of coal dust particles, which leads to progressive pulmonary fibrosis. Recently, as new signal carriers for intercellular communication, exosomal miRNAs have been validated in the pathogenesis of multiple diseases. However, the research on exosomal miRNAs in CWP is still in the preliminary stage. Here, using miRNA sequencing, exosomal miRNA profiles in bronchoalveolar lavage fluid (BALF) from rats with pulmonary fibrosis induced by coal dust particles were analyzed, and the underlying biological function of putative target genes was explored by GO term analysis and KEGG pathway enrichment analysis. According to the results, intratracheal instillation of coal dust particles can alter the exosomal miRNAs expression in the BALF of rats. Further bioinformatics analysis provided some clues to reveal their function in pathological process of pneumoconiosis. More importantly, we identified 4 differentially expressed exosomal miRNAs (miRNA-21-5p, miRNA-29a-3p, miRNA-26a-5p, and miRNA-34a-5p) by qRT­PCR and further verified the temporal changes in the expression of these exosomal miRNAs in animal models from 2 weeks to 16 weeks postexposure. In addition, we conducted a preliminary study on Smad7 as a potential target of miRNA-21-5p and found that exosomal miRNA 21-5p/Smad7 may contribute to the pulmonary fibrosis induced by coal dust particles. Our study confirmed the contribution of exosomal miRNAs to coal dust particle-induced pulmonary fibrosis and provided new insights into the pathogenesis of CWP.

An unusual finding in gastroesophageal surgery: gastric anthracosis.

We present the case of a patient with an unusual finding of gastric anthracosis during oncological surgery for gastric adenocarcinoma.

A rare case of esophageal anthracosis presenting as a submucosal tumor.

A 62-year-old man with a history of heartburn and regurgitation was referred for the management of a black lesion in the middle esophagus. Our Esophagogastroduodenoscopy (EGD) showed a 13 mm, black protruding lesion located 29cm from the incisor teeth. Endoscopic ultrasonography (EUS) showed a 11.7 mm×7.2 mm hyperechoic mass in the esophageal wall arising in layer 2 and 3. Biopsy of the lesion showed a black and elastic hard appearance. Pathological examination showed chronic inflammatory with coal dust underneath the mucosal epithelium.

What is the yield of EBUS-TBNA for re-evaluation of previously treated non-small-cell lung cancer?

BACKGROUND: Locoregional recurrence in lung cancer still remains an important problem. We aimed to indicate the effectiveness of endobronchial ultrasound-guided transbronchial needle aspiration (EBUS-TBNA) for reevaluation in previously treated nonsmall cell lung cancer (NSCLC). METHODS: : NSCLC patients who underwent EBUS for rebiopsy of suspicious recurrent or progressive lesions between January 2010 and June 2017 were reviewed. Patients were categorized into two groups based on the previous treatment modalities: Group 1 (G1) consisted of patients who had been treated with chemoradiotherapy, and Group 2 (G2) consisted of patients who had undergone radical surgery. RESULTS: Of 115 patients, 100 patients enrolled in the study. Of 26 patients with 35 lymph nodes in G1, malignant cells were identified in thirteen patients (50%). Anthracosis was detected in the remaining. Malignancy was detected in 28 patients (37.8%) in G2. Thirty-threepatients were diagnosed as benign (24 anthracosis; 8 lymphocytes, and 1 granulomatous); 8 were not sampled, and inadequate material was obtained in five. The sensitivity, specificity, negative and positive predictive value, and overall diagnostic accuracy of EBUS-TBNA for rebiopsy in G1 were 84.8%, 100%, 89.1%, 100%, and 93.2%, respectively. These values were all perfect in G2. DISCUSSION: EBUS-TBNA could be preferred as a feasible and efficient procedure for rebiopsy in previously treated NSCLC patients.

[The prevalence of common complications among pneumoconiosis patients: a systematic review and Meta-analysis].

Objective: To analysis the main types and prevalences of complications among pneumoconiosis patients, and to provide scientific basis for the prevention and treatment of pneumoconiosis. Methods: In January 2023, literatures on pneumoconiosis complications published before December 31, 2022 in China National Knowledge Infrastructure (CNKI), Wanfang Database, Chinese Science & Technology Journal Database (VIP), PubMed and Web of Science were systematically searched. Literatures were selected according to inclusion and exclusion criteria, and relevant data were extracted. Quality assessment tool was used to evaluate the quality of the articles for this study. The combined prevalence of complications among pneumoconiosis patients was calculated by R 4.1.1 software. Subgroup analysis was carried out to explore the origin of heterogeneity. Results: Sixty-four eligible articles were selected from 2276 literatures related to pneumoconiosis and its complications. The combined prevalence of complications among pneumoconiosis patients was 21.1% (95% CI: 16.0%-26.3%, I(2)=99.9%). The combined prevalence of chronic obstructive pulmonary disease (COPD) was 26.4% (95%CI: 17.3%-35.6%, I(2)=97.1%), which was the highest among different types of complications among pneumoconiosis patients. Subgroup analyses revealed that the combined prevalence of tuberculosis among pneumoconiosis stage Ⅰ, Ⅱand Ⅲ were 13.8% (95%CI: 10.5%-17.2%, I(2)=99.6%), 18.4% (95% CI: 14.9%-22.0%, I(2)=99.3%) and 37.3% (95% CI: 30.7%-44.0%, I(2)=99.1%), respectively, showing a corresponding increasing tendency (P<0.05). The combined prevalence of tuberculosis among coal worker's pneumoconiosis patients was 12.9% (95% CI: 6.4%-19.3%, I(2)=97.9%), while the combined prevalence of tuberculosis among silicosis patients was 13.9% (95%CI: 10.0%-17.8%, I(2)=96.9%) . Conclusion: The prevalence of pneumoconiosis patients combined with different types of complications is high, and its prevalence increases with the severity of pneumoconiosis.

[Analysis of clinical diagnostic characteristics of 26131 patients with pneumoconiosis in Hunan Province].

Objective: To analyze the clinical diagnostic characteristics of pneumoconiosis patients of migrant workers in Hunan Province, and to provide scientific basis for the prevention and treatment of pneumoconiosis. Methods: In February 2022, through the Hunan Provincial Medical Treatment and Assistance Information Platform for Pneumoconiosis Migrant Workers, the cases of irresponsible subjects with pneumoconiosis that were first diagnosed clinically in Hunan Province from January 2017 to December 2021 were collected, and analyzed their gender, age, length of service, types of pneumoconiosis, stages of pneumoconiosis, and comorbidities. Results: From January 2017 to December 2021, there were a total of 26131 cases of irresponsible pneumoconiosis patients diagnosed clinically in Hunan Province, with males accounting for 99.8% (26072 cases) and an average age of (60.66±8.04) years old. Among the 26131 patients, coal workers' pneumoconiosis and silicosis were the main causes, with 16816 and 9078 cases respectively, accounting for 99.1% of the diagnosed cases. There were 8640 cases (33.1%) of stageⅠpneumoconiosis, 6601 cases (25.2%) of stage Ⅱ pneumoconiosis, and 10890 cases (41.7%) of stage Ⅲ pneumoconiosis. 2051 patients experienced complications. The average age of exposure to dust of 26131 patients was (17.81±9.69) years, and the age of exposure to dust in silicosis patients was (14.60±9.62) years. The working age of coal worker's pneumoconiosis was (19.60±9.26) years. Compared with coal workers' pneumoconiosis patients, silicosis patients had a shorter working time exposed to dust, and the difference was statistically significant (P<0.05) . Conclusion: Coal workers' pneumoconiosis and silicosis are mainly diagnosed for the first time in migrant workers' pneumoconiosis patients in Hunan Province. Pneumoconiosis patients should be diagnosed in time, which is conducive to treatment and rehabilitation.

[Application of a light-weighted convolutional neural network for automatic recognition of coal workers' pneumoconiosis in the early stage].

Objective: To construct and verify a light-weighted convolutional neural network (CNN), and explore its application value for screening the early stage (subcategory 0/1 and stage Ⅰ of pneumoconiosis) of coal workers' pneumoconiosis (CWP) from digital chest radiography (DR) . Methods: A total of 1225 DR images of coal workers who were examined at an Occupational Disease Prevention and Control Institute in Anhui Province from October 2018 to March 2021 were retrospectively collected. All DR images were collectively diagnosed by 3 radiologists with diagnostic qualifications and gave diagnostic results. There were 692 DR images with small opacity profusion 0/- or 0/0 and 533 DR images with small opacity profusion 0/1 to stage Ⅲ of pneumoconiosis. The original chest radiographs were preprocessed differently to generate four datasets, namely 16-bit grayscale original image set (Origin16), 8-bit grayscale original image set (Origin 8), 16-bit grayscale histogram equalized image set (HE16) and 8-bit grayscale histogram equalized image set (HE8). The light-weighted CNN, ShuffleNet, was applied to train the generated prediction model on the four datasets separately. The performance of the four models for pneumoconiosis prediction was evaluated on a test set containing 130 DR images using measures such as the receiver operating characteristic (ROC) curve, accuracy, sensitivity, specificity, and Youden index. The Kappa consistency test was used to compare the agreement between the model predictions and the physician diagnosed pneumoconiosis results. Results: Origin16 model achieved the highest ROC area under the curve (AUC=0.958), accuracy (92.3%), specificity (92.9%), and Youden index (0.8452) for predicting pneumoconiosis, with a sensitivity of 91.7%. And the highest consistency between identification and physician diagnosis was observed for Origin16 model (Kappa value was 0.845, 95%CI: 0.753-0.937, P<0.001). HE16 model had the highest sensitivity (98.3%) . Conclusion: The light-weighted CNN ShuffleNet model can efficiently identify the early stages of CWP, and its application in the early screening of CWP can effectively improve physicians' work efficiency.

[Analysis of disease burden of occupational pneumoconiosis in Gansu Province from 2010 to 2020].

Objective: Through comparative analysis of the disease burden of occupational pneumoconiosis in Gansu Province from 2010 to 2020, the main influencing factors are screened, and scientific basis is provided for rational allocation of limited health resources, precise management and policy implementation. Methods: In August 2021, survey and collect information on surviving occupational pneumoconiosis patients and dead occupational pneumoconiosis patients diagnosed in Gansu Province from 2010 to 2020, and analyze and calculate indicators such as morbidity, mortality, and disability adjusted of life years (DALY). Analyzing the influencing factors of disease burden usirrg multiple linear regression. Results: From 2010 to 2020, the average annual incidence of occupational pneumoconiosis in Gansu Province was 0.9992/100000, the average annual mortality was 0.897/100000, the cumulative case fatality rate was 25.75%, and the cumulative DALY was 28932.96 person-years. The first stage of occupational pneumoconiosis was the highest among DALY loss (19920.14 person-years), and the DALY loss was positively correlated with the stage of occupational pneumoconiosis. Among occupational pneumoconiosis in Gansu Province, silicosis (13753.66 person-years) and coal worker's pneumoconiosis (13414.73 person-years) caused the highest disease burden, followed by cement pneumoconiosis and asbestos lung. Period, length of service, type of disease, and region are all influencing factors of DALY loss (P<0.05). Conclusion: From 2010 to 2020, the DALY losses caused by occupational pneumoconiosis in Gansu Province showed a fluctuating decrease, with the composition of DALY mainly changing from the loss of life years due to premature death to the loss of years due to injury and disability.

[Analysis of suspected occupational diseases cases and subsequent diagnosis follow-up investigation in Hubei Province from 2020 to 2021].

Objective: To understand the epidemiological characteristics of suspected occupational diseases cases, and to track the subsequent diagnosis of suspected cases in Hubei Province from 2020 to 2021, and to provide theoretical basis for the supervision of suspected occupational diseases. Methods: In April 2022, the data of suspected occupational diseases cases and occupational diseases in Hubei Province from 2020 to 2021 were collected by the Occupational Diseases and Health Risk Factors Information Surveillance System. The distribution and diagnosis of suspected occupational diseases cases were analyzed. We investigated undiagnosed suspected occupational diseases by telephone. Results: From 2020 to 2021, a total of 1872 cases of suspected occupational diseases in 6 categories and 18 species were reported in Hubei Province. The top three suspected occupational diseases were suspected occupational noise deafness (36.75%, 688/1872), suspected coal worker's pneumoconiosis (33.07%, 619/1872) and suspected silicosis (20.99%, 393/1872). The diagnosis rate of suspected occupational diseases was 33.60% (629/1872). The rate of confirmed diagnosis was 63.59% (400/629). The diagnosis rate (26.86%, 456/1698) and rate of confirmed diagnosis (55.48%, 253/456) of suspected occupational diseases detected by occupational health examination were the lowest. The diagnosis rate of suspected occupational diseases detected by comprehensive medical institutions and private medical institutions were lower than disease prevention and control institutions and occupational disease prevention center (P<0.05). The main reasons for not entering the diagnostic procedure included that workers were not informed that they were diagnosed as suspected occupational diseases (31.55%, 124/393), workers were unwilling to apply for occupational disease diagnosis (18.56%, 73/393), and some workers planned to apply for diagnosis but had not yet applied (10.69%, 42/393) . Conclusion: Occupational noise deafness, coal worker's pneumoconiosis and silicosis are the main diseases of suspected occupational diseases in Hubei Province. In order to increase the diagnosis rate and confirmed diagnosis rate of suspected occupational diseases, it is suggested to strengthen management and supervision from the aspects of case management, information warning and worker notification.

[Epidemiological characteristics and survival analysis of reported pneumoconiosis in Chengdu, 2012-2021].

Objective: To explore theepidemiological characteristics and analyse the survival of pneumoconiosis in Chengdu from 2011 to 2021, providing scientific evidence for further prevention and control. Methods: In April 2022, the pneumoconiosis report card of Chengdu from 2012 to 2021 and survival data were collected from the China Disease Control and prevention information system and the occupational pneumoconiosis follow-up survey project.The data of the report card was reorganized and analyzed by R4.4.0 software. Chi-square test was used to compare the case composition ratio between groups. The annual trend of the number of new pneumo coniosis cases was analyzed by linear regression model Kaplan-Meier method was used for survival analysis and log-rank test was used for comparison of survival curves between groups. Results: 816 cases of pneumoconiosis were reported in Chengdu from 2011 to 2021, including 522 cases of stage Ⅰ (63.97%, 522/816), 148 cases of stage Ⅱ (18.14%, 148/816) and 146 cases of stage Ⅲ pneumoconiosis (17.89146/816) ; There were 596 cases of silicosis (73.04%, 596/816), 143 cases of coal worker's pneumoconiosis (17.52%, 143/816). New onset pneumoconiosis was mainly male (810 cases, 99.26%). The median age of diagnosis and the 25th and 75th percentile were 63 (51-71) years old, the median length of dust exposure were 12.00 (5.92-28.00) years, and the types of work were mainly rock drillers (24.63%, 201/816), tunneling workers (19.36%, 158/816) and coal miners (13.60%, 111/816). Among 816 cases of new pneumoconiosis, 35 cases were lost to follow-up (4.29%, 35/816), 605 cases survived and 176 cases died. The 5-year survival rate was 78.6% and the 10-year survival rate was 65.8%. Conclusion: The number of pneumoconiosis reported in Chengdu was relatively stable in recent years. The main type of pneumoconiosis was silicosis, which was concentrated in regions, industries and types of work. We should continue to strengthen the prevention and treatment of pneumoconiosis.

[Analysis of the disease burden of pneumoconiosis globally and in China from 1990 to 2019].

Objective: To analyze the disease burden of pneumoconiosis globally and in China from 1990 to 2019 using Global Burden of Disease (GBD) 2019 data, and to provide a theoretical basis for prevention and control of pneumoconiosis. Methods: In September 2022, the data of incidence, prevalence, morality and disability-adjusted life years (DALY) of pneumoconiosis and its subtypes globally and in China from 1990 to 2019 were collected from GBD 2019, including absolute number and age-standardized rate (ASR). Joinpoint linear regression model was used to calculate average annual percent change (AAPC) and analyze the change trends of incidence, prevalence, mortality and DALY of pneumoconiosis and its subtypes. Results: From 1990 to 2019, the incident cases, prevalent cases and DALY value of pneumoconiosis showed upward trends, while the number of death cases showed downward trends. And the ASR of incidence (ASIR), the ASR of prevalence (ASPR), the ASR of mortality (ASMR) and the ASR of DALY (ASDR) showed downward trends globally and in China. China accounted for a large proportion of the global disease burden of penumoconiosis, accounting for more than 67% of the incident cases, more than 80% of the prevalent cases, more than 43% of the deaths cases and more than 60% of the absolute number of DALY in the world every year. Male were the main population of pneumoconiosis disease burden globally and in China, and the age of onset was earlier than that of female. The peak age periods of incidence, prevalence, mortality and DALY of pneumoconiosis globally and in China from 1990 to 2019 have increased. Silicosis was still the type with the highest disease burden of pneumoconiosis globally and in China. The disease burden of coal workers' pneumoconiosis had an overall improvement trend, but asbestosis had an increasing disease burden worldwide. Conclusion: The disease burden of pneumoconiosis is heavy globally and in China, which is necessary to strengthen the supervision and prevention measures according to gender, age and etiological types.

Prevalence and severity of abnormal lung function among US former coal miners with and without radiographic coal workers' pneumoconiosis.

OBJECTIVES: Examination of lung function abnormalities among coal miners has historically focused on actively working miners. This likely underestimates the true burden of chronic respiratory disease. The objective of this study was to characterise patterns and severity of lung function impairment among a population of former coal miners. METHODS: Cross-sectional data from 2568 former coal miners evaluated at eight US Black Lung clinics in a 12-month period were retrospectively analysed for patterns of prebronchodilator spirometric abnormality and severity of lung function impairment. Spirometry data from a subset of former miners with chest radiographs were analysed based on the presence and severity of coal workers' pneumoconiosis (CWP). RESULTS: Abnormal spirometry was identified in 56.6% of subjects. The age-standardised prevalence of airflow obstruction among miners aged ≥45 years was 18.9% overall and 12.2% among never smokers. Among 1624 subjects who underwent chest radiography, the prevalence and severity of abnormal spirometry increased with worsening radiographic category for pneumoconiosis. Of never-smoking former miners without radiographic CWP, 39.0% had abnormal spirometry; 25.1% had abnormally low forced expiratory volume in 1 s (FEV1), and 17.1% had moderate to severe FEV1 impairment. CONCLUSIONS: Abnormal spirometry is common among former coal miners. While ever-smoking former miners had higher rates of airflow obstruction, never-smoking former miners also demonstrated clinically significant airflow obstruction, including those without radiographic pneumoconiosis. These findings demonstrate the importance of recognising physiological as well as imaging manifestations of coal mine dust lung diseases in former miners.

Coal mine dust lung disease in miners killed in the Upper Big Branch disaster: a review of lung pathology and contemporary respirable dust levels in underground US coal mines.

OBJECTIVES: In 2010, 29 coal miners died due to an explosion at the Upper Big Branch (UBB) mine in West Virginia, USA. Autopsy examinations of 24 individuals with evaluable lung tissue identified 17 considered to have coal workers' pneumoconiosis (CWP). The objectives of this study were to characterise histopathological findings of lung tissue from a sample of UBB fatalities and better understand the respirable dust concentrations experienced by these miners at UBB relative to other US coal mines. METHODS: Occupational pulmonary pathologists evaluated lung tissue specimens from UBB fatalities for the presence of features of pneumoconiosis. Respirable dust and quartz samples submitted for regulatory compliance from all US underground coal mines prior to the disaster were analysed. RESULTS: Families of seven UBB fatalities provided consent for the study. Histopathologic evidence of CWP was found in all seven cases. For the USA, central Appalachia and UBB, compliance dust samples showed the geometric mean for respirable dust was 0.468, 0.420 and 0.518 mg/m3, respectively, and respirable quartz concentrations were 0.030, 0.038 and 0.061 mg/m3. After adjusting for quartz concentrations, UBB exceeded the US permissible exposure limit (PEL) for respirable dust in 28% of samples. CONCLUSIONS: Although higher than average respirable dust and quartz levels were observed at UBB, over 200 US underground coal mines had higher dust concentrations than UBB and over 100 exceeded the PEL more frequently. Together with lung histopathological findings among UBB fatalities, these data suggest exposures leading to CWP in the USA are more prevalent than previously understood.

Effects of chemical composition on the lung cell response to coal particles: Implications for coal workers' pneumoconiosis.

BACKGROUND AND OBJECTIVE: Coal mine dust has a complex and heterogeneous chemical composition. It has been suggested that coal particle chemistry plays a critical role in determining the pathogenesis of coal workers' pneumoconiosis (CWP). In this study, we aimed to establish the association between the detrimental cellular response and the chemical composition of coal particles. METHODS: We sourced 19 real-world coal samples. Samples were crushed prior to use to minimize the impact of particle size on the response and to ensure the particles were respirable. Key chemical components and inorganic compounds were quantified in the coal samples. The cytotoxic, inflammatory and pro-fibrotic responses in epithelial cells, macrophages and fibroblasts were assessed following 24 h of exposure to coal particles. Principal component analysis (PCA) and stepwise regression were used to determine which chemical components of the coal particles were associated with the cell response. RESULTS: The cytotoxic, inflammatory and pro-fibrotic response varied considerably between coal samples. There was a high level of collinearity in the cell responses and between the chemical compounds within the coal samples. PCA identified three factors that explained 75% of the variance in the cell response. Stepwise multiple regression analysis identified K2 O (p <0.001) and Fe2 O3 (p = 0.011) as significant predictors of cytotoxicity and cytokine production, respectively. CONCLUSION: Our data clearly demonstrate that the detrimental cellular effects of exposure to coal mine dusts are highly dependent on particle chemistry. This has implications for understanding the pathogenesis of CWP.

Use data augmentation for a deep learning classification model with chest X-ray clinical imaging featuring coal workers' pneumoconiosis.

PURPOSE: This paper aims to develop a successful deep learning model with data augmentation technique to discover the clinical uniqueness of chest X-ray imaging features of coal workers' pneumoconiosis (CWP). PATIENTS AND METHODS: We enrolled 149 CWP patients and 68 dust-exposure workers for a prospective cohort observational study between August 2021 and December 2021 at First Hospital of Shanxi Medical University. Two hundred seventeen chest X-ray images were collected for this study, obtaining reliable diagnostic results through the radiologists' team, and confirming clinical imaging features. We segmented regions of interest with diagnosis reports, then classified them into three categories. To identify these clinical features, we developed a deep learning model (ShuffleNet V2-ECA Net) with data augmentation through performances of different deep learning models by assessment with Receiver Operation Characteristics (ROC) curve and area under the curve (AUC), accuracy (ACC), and Loss curves. RESULTS: We selected the ShuffleNet V2-ECA Net as the optimal model. The average AUC of this model was 0.98, and all classifications of clinical imaging features had an AUC above 0.95. CONCLUSION: We performed a study on a small dataset to classify the chest X-ray clinical imaging features of pneumoconiosis using a deep learning technique. A deep learning model of ShuffleNet V2 and ECA-Net was successfully constructed using data augmentation, which achieved an average accuracy of 98%. This method uncovered the uniqueness of the chest X-ray imaging features of CWP, thus supplying additional reference material for clinical application.