Objective To analyze the epidemic status of newly diagnosed occupational diseases in Guangdong Province during the “13th Five-Year Plan” period, and scientifically evaluate the critical risk factors for occupational disease prevention and control. Methods The data of newly diagnosed occupational diseases reported by internet in Guangdong Province from 2016 to 2020 was collected from Report Card of Occupational Diseases using Occupational Diseases and Health Hazard Factors Monitoring Information System under China Disease Prevention and Control Information System. Data was used to determine the epidemic status and identify key risk factors. Results A total of 4 846 cases of occupational diseases were reported in Guangdong Province during the “13th Five-Year Plan”period, with an increase rate of 39.13% compared with the “12th Five-Year Plan” period (3 483 cases). The annual distribution of newly diagnosed occupational disease cases showed a trend of increasing and then declining. The top five percentage on types of occupational diseases were occupational noise-induced deafness, occupational silicosis, occupational chronic benzene poisoning, other occupational pneumoconiosis and occupational hand-arm vibration disease, accounting for 45.23%, 16.28%, 11.52%, 7.92% and 4.60%, respectively. Cases from the Pearl River Delta region accounted for 92.76%, while five non-Delta cities had “zero reported cases”. Regarding industry sector, cases were primarily concentrated in manufacturing, construction, and mining, accounting for 84.21%, 5.49% and 3.59%, respectively. Regarding industry categories, cases were concentrated in metal products, non-metallic mineral products, manufacturing of cultur, education, art, sports and entertainment goods, manufacturing of computer, communication and other electric devices, and manufacturing of specialized equipment, accounting for 11.70%, 10.17%, 8.60%, 7.82%, and 4.81%, respectively. A total of 196 enterprises (accounting for 7.39%) reported an average of three or more new cases per year, while 19 enterprises (accounting for 0.72%) reported an average of ten or more cases per year. Conclusion The epidemic status of occupational diseases in Guangdong Province showed a “triple concentration” characteristic in disease types, regions, and industries during the “13th Five-Year Plan” period. Particular attention should be paid to epidemic status of occupational noise-induced deafness, occupational silicosis, occupational chronic benzene poisoning, other occupational pneumoconiosis, and occupational hand-arm vibration disease, and also pay special attention to the prevention and control of occupational diseases in the Pearl River Delta region, cities with “zero reported cases”, manufacturing industry and occupational disease-prone enterprises.

Central venous catheterization plays an important role in the rescue of critically patients. Commonly used central veins in clinical practice include subclavian vein, internal jugular vein, and femoral vein. Serious complications after catheterization can endanger patients′ lives in severe cases. It is necessary to improve the understanding and treatment of serious complications of central vein catheterization in clinical work. A case of iliac vein dissection caused by right femoral vein catheterization was summarized in this article, and the catheter was successfully removed under digital subtraction angiography direct vision after the distal end of the catheter penetrated the vascular wall and reached the peritonea, which provided reference for the treatment of iatrogenic injury caused by central vein catheterization.

Objective To analyze the epidemiological characteristics of occupational diseases caused by physical factors in Guangdong Province from 2013 to 2022, and to evaluate the key risk points of its incidence. Methods The data of newly diagnosed and suspected occupational diseases caused by physical factors in Guangdong Province from 2013 to 2022 were collected from the Occupational Diseases and Hazards Monitoring Information System under China Disease Prevention and Control Information System, and were analyzed retrospectively. The key risk points of occupational diseases caused by physical factors were evaluated. Results A total of 661 cases of occupational diseases caused by physical factors were reported in Guangdong Province from 2013 to 2022, showing an overall increasing trend, with an average annual growth rate of 29.6%. The major occupational diseases caused by physical factors were occupational hand-arm vibration disease and occupational heat stroke, accounting for 59.5% and 39.6%, respectively. The nine prefecture-level cities of Pearl River Delta region accounted for 98.5% of the new cases. The cases were distributed mainly in the manufacturing industry (77.0% of the cases). A total of 294 enterprises were involved in the analysis of newly diagnosed occupational diseases caused by physical factors. Occupational hand-arm vibration cases appeared to be significantly aggregated in specific enterprises, and other disease cases were mostly sporadic. The types of enterprise registration were mainly Hong Kong-, Macao-, and Taiwan-invested enterprises and domestic-funded enterprises, accounting for 53.1% and 41.4%, respectively. In terms of enterprise size, large-scale and small-scale enterprises accounted for 56.5% and 21.4% of cases, respectively. A total of 27.4% of workers with occupational diseases caused by physical factors were identified as suspected occupational diseases before be diagnosed as occupational diseases, all of which were hand vibration disease and heat stroke In the future, attention should be paid to the risks of mass events of occupational hand-arm vibration disease, outbreaks of occupational heat stroke, and missed diagnosis of suspected occupational hand-arm vibration disease. Conclusion Among all occupational diseases caused by physical factors in Guangdong Province, attention should be paid on occupational hand-arm vibration disease and occupational heat stroke. Occupational hand-arm vibration disease has a high risk of group morbidity. Construction workers and sanitation workers have a high potential risk of occupational heat stroke.

Objective To analyze the timeline of occupational disease online reporting and reviewing in Guangdong Province from 2014 to 2022. Methods Data and review information from the Occupational Diseases and Hazards Monitoring Information System under China Disease Prevention and Control Information System were collected to analyze the reporting timeline, review status, and timeline of review of "Occupational Disease Report Cards" for the years 2014 to 2022 in enterprises located in Guangdong Province. Results A total of 9 929 occupational disease report cards were recorded in Guangdong Province from 2014 to 2022, and the timely reporting rate of occupational diseases was 84.10%, with an overall upward trend. There was a statistically significant difference in the reporting time among different years (P<0.05), and the reporting time showed a downward trend. In 2022, the timely reporting rate of all cities reached over 80.00%. The final review rate of occupational disease report cards was 85.02%, and the review rate and timely review rate at the county level showed an increasing trend. The occupational disease report card audit timeliness rate from high to low was provincial, district county and city level (61.26% vs 43.87% vs 36.72%, all P<0.05). Conclusion The timeline of occupational disease reporting in Guangdong Province is relatively high, and the review at all levels is generally good. However, further improvement is needed for timely review at the municipal and county levels.

Objective To analyze the epidemiological characteristics of newly diagnosed occupational pneumoconiosis (hereinafter referred to as "pneumoconiosis") in Guangdong Province from 2011 to 2020. Methods Clinical data of newly diagnosed pneumoconiosis in Guangdong Province from 2011 to 2020 was collected from the “Health Hazards Monitoring Information System” under “China Disease Prevention and Control Information System”. The distribution of the cases was analyzed retrospectively. Results A total of 2 731 cases of newly diagnosed pneumoconiosis were reported from 2011 to 2020 in Guangdong Province, with cases at stages Ⅰ,Ⅱ, and Ⅲ accounting for 61.6%, 23.8%, and 14.6%, respectively. Except for talc pneumoconiosis, 12 other types of pneumoconiosis were reported. The top three incidence of diseases were silicosis, other pneumoconiosis, and welder's pneumoconiosis, accounting for 58.8%, 22.0% and 11.0%, respectively. Males accounted for 97.5%, and females 2.5%. The median age of onset was 47 years old. The median dust exposure duration was 9.8 years, with 19.4% of cases having a dust exposure duration less than 5.0 years. And 80.7% of the cases were distributed in the Pearl River Delta region. The industries with the new cases were mainly the manufacturing (accounting for 69.4%), and 34.8% of cases were found in private limited liability companies. Cases in medium- and small-sized enterprises accounted for 35.7% and 34.3% respectively. Conclusion Silicosis, other pneumoconiosis, and welder's pneumoconiosis are predominant in Guangdong Province. The prevention and control of pneumoconiosis should focus on small- and medium-sized private enterprises in the concentrated manufacturing industry in the Pearl River Delta region.

OBJECTIVE: To screen the optimal fitting model for the change trend of the number of new cases of occupational diseases in Guangdong Province by using linear and nonlinear regression models. Method The number of new cases of occupational diseases in Guangdong Province from 2003 to 2017 was used as the dependent variable(■) and the year(time) as the independent variable(x).Eleven mathematical models including linear regression, cubic function, quadratic function, composite function, growth function, exponential function, logistic function, power function, logarithmic function, S-type function and inverse function were used to fit the data, and the best-fit model was selected to describe and verify the change of new occupational diseases. RESULTS: Among the 11 mathematical models, the determination coefficient of fit results of cubic curve regression model was the highest(0.94, P<0.01), and the fit effect was the best. The fitting curve was ■. The cubic curve regression model was used to fit the number of new cases of occupational diseases in Guangdong Province from 2003 to 2019. The results showed that the measured value of new cases in all those years, except 2011, was within 95% confidence interval of the fitting value. The median(25 th, 75 th percentile) of absolute relative deviation between the fitting value and the actual value was 8.9%(4.3%, 14.7%). CONCLUSION: The regression model based on cubic curve can better fit the incidence of occupational diseases and can be used to describe the occurence of occupational diseases.

Objective:To develop a novel α vβ 3-targeted theranostic agent 177Lu-Evans blue (EB)-Arg-Gly-Asp (RGD) and evaluate its value for SPECT imaging and targeted radionuclide therapy in the non-small cell lung cancer (NSCLC)-patient-derived xenografts (PDX). Methods:The α vβ 3-targeted molecule RGD was conjugated with the albumin binding moiety EB to obtain EB-RGD, and EB-RGD was further conjugated with the chelator 1, 4, 7, 10-tetraazacyclododecane-1, 4, 7, 10-tetraacetic acid (DOTA) for 177Lu radiolabeling. NSCLC-PDX mice models ( n=68) were established. 177Lu-EB-RGD SPECT imaging, biodistribution study were performed in 28 PDX mice models after being injected with 177Lu-EB-RGD or 177Lu-RGD. Targeted radionuclide therapy were subsequently performed in NSCLC-PDX mice models, saline group (group A), 18.5 MBq 177Lu-RGD group (group B), 18.5 MBq 177Lu-EB-RGD group (group C), 29.6 MBq 177Lu-EB-RGD group (group D), n=10 in each group; tumor volumes of PDX mice models in each group were observed within 50 d. Differences between 2 groups were compared using independent-sample t test. Results:177Lu-EB-RGD was radiolabeled at a specific activity of (55±14) GBq/μmol, with a radiochemical yield of more than 95% and a radiochemical purity of more than 95%. Regarding the SPECT imaging, tumors in NSCLC-PDX mice were clearly observed from 4 to 96 h post-injection and the tumor to muscle ratio (T/M) reached 7.34±0.67, 14.63±3.82, 15.69±3.58 and 15.99±5.42 at 4, 24, 72, 96 h post-injection, respectively. Biodistribution study further confirmed the findings from SPECT imaging, and the tumor uptake of 177Lu-EB-RGD were markedly increased compared to 177Lu-RGD 4 h post-injection ((10.15±1.17) vs (3.30±1.47) percent injection dose per gram (%ID/g); t=18.60, P<0.05). Regarding targeted radiotherapy, the tumor volumes were quickly increased within 50 d after treatment in group A and B, while the tumor volumes were decreased in group C and D, until the tumors in group C and D disappeared at the 28th day after initial treatment with no sign of recurrence during the observation period. Conclusions:177Lu-EB-RGD can target α vβ 3-positive NSCLC-PDX with intense tumor to background ratio and strong tumor inhibition efficacy. The preclinical data suggests that 177Lu-EB-RGD may be an effective new treatment option for advanced NSCLC patients with resistance or ineffective results for targeted therapy.

OBJECTIVE: To analyze the newly diagnosed occupational disease spectrum of female workers in Guangdong Province from 2009 to 2018. METHODS: The data of occupational diseases of female workers reported to the National Occupational Diseases Network Direct Reporting System during 2009 to 2018 in Guangdong Province were collected, and analyzed by descriptive epidemiological method. RESULTS: A total of 1 191 female workers with new occupational diseases were reported in Guangdong Province from 2009 to 2018, involving 40 occupational diseases in 8 categories. The number of new occupational disease cases generally showed an increased trend in a zigzag pattern, with the lowest number in 2009(44 cases). The new case number increased from 2015 to 2018, and reached a peak in 2017(176 cases), which was four times higher than that in 2009. The top four classifications of occupational diseases were occupational chemical poisoning(59.7%), occupational ear-nose-throat-oral diseases(19.7%), occupational tumor(7.8%), and occupational pneumoconiosis and other respiratory diseases(6.1%). The top four entities of occupational diseases were occupational chronic benzene poisoning(35.0%), occupational noise deafness(19.6%), occupational chronic n-hexane poisoning(14.5%) and occupational benzene induced leukemia(7.7%). The new occupational diseases mainly concentrated in Pearl River Delta Region, accounting for 96.6%. The new cases mainly distributed in manufacturing industry(95.1%), private economic enterprises(41.6%), and medium and small enterprises(68.3%). Totally 64.2% of the cases were seen in operating workers. CONCLUSION: The newly diagnosed occupational disease spectrum of female workers in Guangdong Province shows aggregation in both categories and varieties. It also shows aggregation in certain area, enterprise industry, enterprise economic type, enterprise scale and type of work.

Objective : To explore the spatial distribution of occupational diseases in Guangdong Province and to provide evidence for the policy development of occupational disease prevention and control. Methods : A database of occupational disease incidence from 2009 to 2016 in Guangdong Province was built. The distribution of occupational diseases in Guangdong Province was displayed based on the geographic information system（GIS）, then spatial autocorrelation analysis and trend-surface analysis were carried out to explore the clustering areas and spatial epidemic characteristics of occupational diseases in Guangdong Province. Results : The number of cases with occupational diseases was 5 231 and was increasing year by year from 2009 to 2016 in Guangdong Province. The high-incidence areas were located in Guangzhou,Shenzhen,Foshan and Dongguan. Through global spatial autocorrelation analysis,it was found that there were spatial clustering of occupational diseases in Guangdong Province in each year（P<0.05）,and the cumulative incidence was also clustered（Moran's I=0.492,P<0.05）. The number of cases in Guangzhou,Shenzhen,Foshan and Dongguan had local spatial autocorrelation,and the local Moran's I values were 10.329,8.614,3.725 and 9.811,respectively（P<0.05）. The results of trend surface analysis showed that the overall incidence of occupational disease had a slight increase from west to east,and the Pearl River Delta region was a high-incidence area. Conclusion The incidence of occupational diseases in Guangdong Province had an obvious spatial clustering,the Pearl River Delta region was a high-incidence area.

OBJECTIVE: To explore the application of the autoregressive integrated moving average model( ARIMA model)in predicting incidence of occupational noise-induced deafness( ONID). METHODS: The ARIMA model was established and validated based on the number of new onset ONID cases in Guangdong Province from 2006 to 2015. Then the ARIMA model was used to predict the trend of new onset ONID cases from 2016 to 2020. RESULTS: The number of new ONID cases in Guangdong Province from 2006 to 2015 showed an exponential growth trend. The optimal model fitted with the number of new onset ONID cases from 2006 to 2015 was the ARIMA( 2,2,2) model,which better match the number of new onset ONID cases from 2008 to 2015. According to the ARIMA( 2,2,2) model,the number of new onset ONID cases in Guangdong Province will continue to have a rapidly increasing trend from 2016 to 2020. CONCLUSION: The ARIMA model based on time series matches the time trend of ONID onset,and it can be used for the prediction of ONID incidence trend.