To analyze the clinical data of a case of acute emamectin·chlorfenapyr poisoning in Guangzhou 12th People's Hospital in 2019. The patient developed high fever and night sweats, and gradually became unconscious. The patient died after 5 days of treatment. The toxicity and mortality of emamectin·chlorfenapyr were high. For acute poisoning patients, in addition to conventional symptomatic treatment, early blood purification treatment should be actively carried out.Objective To investigate the changes of neuron-specific enolase (NSE) in serum and cerebrospinal fluid of patients with subacute 1, 2-dichloroethane (DCE) poisoning. Methods Ten patients with subacute 1, 2-DCE poisoning hospitalized in Guangzhou 12th Municipal People's Hospital from December 2014 to March 2019 were taken as the subacute 1, 2-DCE poisoning group, 34 typical acute toxic encephalopathy patients hospitalized at the same time as typical acute toxic encephalopathy group, 40 healthy physical examinees as normal control group. The levels of serum NSE in patients of subacute 1, 2-DCE poisoning and typical acute toxic encephalopathy group during onset and improvement were detected by chemiluminescence method, and the results were analyzed statistically. The level of NSE in cerebrospinal fluid of subacute 1, 2-DCE poisoning group was detected and analyzed its correlation with the level of NSE in serum. Using receiver operator characteristic (ROC) curve to analyze the diagnostic efficacy of NSE in subacute 1, 2-DCE poisoning and typical acute toxic encephalopathy (area under curve, AUC) . Results There was no significant difference between the serum NSE level of the patients with subacute 1, 2-DCE poisoning in the onset group and the normal control group and the improvement group (P>0.05) . The serum NSE level of subacute 1, 2-DCE poisoning in the improvement group was lower than those in the normal control group (P less then 0.01) . https://www.selleckchem.com/products/ibg1.html The serum NSE level of the subacute 1, 2-DCE poisoning in the onset group was lower than those in the typical acute toxic encephalopathy in the onset group (P less then 0.01) . There was no linear correlation between cerebrospinal fluid NSE and serum NSE in patients with subacute 1, 2-DCE poisoning (r=-0.183, P=0.52) . ROC curve showed that the AUC of serum NSE in diagnosing subacute 1, 2-DCE poisoning and typical acute toxic encephalopathy were 0.661 and 0.726, respectively. Conclusion There is no significant change in serum NSE in patients with subacute 1, 2-DCE poisoning.Objective To investigate the distribution feature of newly diagnosed pneumoconiosis in Guangyuan City from 2007 to 2017 and provide scientific evidence for the prevention and control of pneumoconiosis. Methods In May 2019, the data of newly diagnosed pneumoconiosis in Guangyuan City during January 2007 to December 2017 were collected from Chinese Information System for Disease Control and Prevention-Occupation Disease and Occupation Health Information Monitoring System. The database was built by Excel 2010. The distribution of period, disease type, region, sex, age, working age, work type and industry were analyzed by SPSS 17.0 software. Results Totally 3920 new cases of pneumoconiosis were reported in Guangyuan City from 2007 to 2017, 2850 cases (72.70%) were in stage Ⅰ, 724 cases (18.47%) were in stage Ⅱ, and 346 cases (8.83%) were in stage Ⅲ. The main type of pneumoconiosis was coal worker＇s pneumoconiosis (2544 cases, 64.90%, ) , second was silicosis (1313 cases, 33.49%) . The newly diagnosed pneumoconios high-risk groups is the focus of occupational health prevention and control in Guangyuan City.Objective To provide scientific evidence for the prevention and control strategies of noise-induced deafness, to analyze the epidemiological characteristics of the occupational noise-induced deafness diagnostic applicants in Guangzhou city during 2011-2018. Methods In March 2019, by consulting the occupational disease diagnosis records, we investigated the distribution of all 471 occupational noise-induced deafness diagnostic applicants in Guangzhou Occupational Disease Prevention and Treatment Center from 2011 to 2018. Frequency and constituent ratio were used to describe the distribution. Results From 2011 to 2018, there were 471 cases of occupational noise-induced deafness diagnostic applicants and 211 of the applicants were diagnosed as occupational noise-induced deafness (44.8%, 211/471) . The new cases were mainly mild (83.9%, 177/211) , with the predilection age of 40.0-49.0 years old (41.7%, 88/211) and the predilection seniority of 5.0-9.9 years (38.9%, 82/211) . Among the new cases, there were mainly males (88.6%, 187/211) . Most of the new cases were distributed in Nansha district (23.2%, 49/211) , Huangpu district (22.7%, 48/211) and Panyu district (21.8%, 46/211) . Besides, in terms of industry distribution, they were concentrated in manufacturing industry (82.0%, 173/211) . The scale of enterprises was mainly medium-sized (42.7%, 90/211) , and the most of their economic type was domestic-funded (40.8%, 86/211) . Conclusion Although most of the newly diagnosed cases of occupational noise deafness in Guangzhou are mild, they still need to be paid attention to and strengthen the noise industry protection education.Objective To explore the status and influencing factors of occupational pressure among medical staff in a third-level first-class hospital of traditional Chinese medicine in Tianjin, and to provide reference for formulating relevant policies. Methods From September to October in 2019, doctors, nurses, pharmacists laboratory, radiology and management personnel were randomly selected as the research objects. A total of 191 questionnaires were distributed and recovered, and 189 valid questionnaires were recovered, with an effective recovery rate of 98.95%. The Scale for Occupational Stressor on Clinician was used for investigation. The influence of different characteristics on the occupational pressure of medical staff was analyzed. Results The average total score of occupational pressure was (94.8±15.4) . There were significant differences in occupational pressure among different age groups (P less then 0.05) . There were significant differences in total pressure score, organization management, occupational interest, workload, external environment, doctor-patient relationship and other dimensions (P less then 0.