The "Guidelines for the Ergonomic Prevention of Work-related Musculoskeletal Disorders Part 3 in Shipbuilding Operations" (T/WSJD 14.3-2024) was published and implemented in March 2024, providing a basis for scientific prevention and control of musculoskeletal disorders in shipbuilding operations. In this paper, the background, formulation process, basis and main content of the standard project are interpreted and analyzed, so as to help relevant practitioners and managers more fully understand and implement the ergonomic program proposed by the standard, and provide scientific and accurate technical support for enterprises.

Objective:To describe the temporal trend of disease burden of idiopathic epilepsy in China from 1990 to 2021 and predict the incidence of idiopathic epilepsy in China from 2022 to 2035 to provide references for the formulation of relevant health policies and measures.Methods:Based on data from the Global Burden of Disease Study 2021 (GBD 2021) database regarding idiopathic epilepsy in China, changes in disease burden from 1990 to 2021 were acquired. Disease burden was quantified using age-standardized incidence rate (ASIR), age-standardized prevalence rate (ASPR), age-standardized mortality rate (ASMR), age-standardized disability-adjusted life years (DALYs) rate (ASDR) and their 95% uncertain interval (UI). Temporal trend analysis was performed using a linear regression model to estimate the estimated annual percent change (EAPC) and annual percentage change (APC) in incidence of idiopathic epilepsy and their 95% CI. Additionally, incidence and number of patients with idiopathic epilepsy in China from 2022 to 2035 were predicted using Bayesian age-period-cohort model. Results:The ASIR of idiopathic epilepsy increased from 22.35 per 100,000 population in 1990 (95% UI: 15.04-30.92 per 100,000 population) to 28.19 per 100,000 population in 2021 (95% UI: 19.03-37.89 per 100,000 population), with an EAPC of 0.12% (95% CI: -0.10%-0.34%); ASPR of idiopathic epilepsy increased from 189.27 per 100,000 population in 1990 (95% UI: 132.48-252.95 per 100,000 population) to 214.71 per 100,000 population in 2021 (95% UI: 150.10-278.56 per 100,000 population), with an EAPC of -0.32% (95% CI: -0.57%-0.06%); ASMR of idiopathic epilepsy decreased from 1.86 per 100,000 population in 1990 (95% UI: 1.59-2.24 per 100,000 population) to 0.80 per 100,000 population in 2021 (95% UI: 0.67-1.00 per 100,000 population), with an EAPC of -2.96% (95% CI: -3.09%-2.82%); ASDR of idiopathic epilepsy decreased from 178.60 per 100,000 population in 1990 (95% UI: 143.44-220.63 per 100,000 population) to 101.39 per 100,000 population in 2021 (95% UI: 72.51-139.40 per 100,000 population), with an EAPC of -2.38% (95% CI: -2.54%-2.22%). The prediction model showed that by 2035, the prevalence of idiopathic epilepsy in China will be 28.27 per 100,000 (95% CI: 23.19-38.66), with an estimated 394,928 incident cases (95% CI: 324,037-540,128). Conclusions:From 1990 to 2021, the ASIR and ASPR of idiopathic epilepsy in China show an upward trend, while the ASMR and ASDR hace a decline trend. Incidence of idiopathic epilepsy in China is expected to remain stable over the next decade.

Acute large vessel occlusion stroke(ALVOS)of anterior circulation is associated with severe clinical manifestations and high rates of disability and mortality.Mechanical thrombectomy has emerged as the primary therapeutic intervention.However,post-procedural outcomes remain highly variable,and patients continue to face elevated risks of poor prognosis.Machine learning,a transformative tool in medical research,enables comprehensive analysis of multimodal data to identify specific biomarkers and improve the accuracy of predictions for clinical outcomes and adverse events.This review summarized the latest developments in machine learning applications aim at predicting post-thrombectomy prognosis and risk of adverse event,including futile recanalization,hemorrhagic transformation,and malignant cerebral edema in patients with anterior circulation ALVOS in order to provide a basis for developing personalized treatment plan and improve their clinical prognosis.

Acute large vessel occlusion stroke(ALVOS)of anterior circulation is associated with severe clinical manifestations and high rates of disability and mortality.Mechanical thrombectomy has emerged as the primary therapeutic intervention.However,post-procedural outcomes remain highly variable,and patients continue to face elevated risks of poor prognosis.Machine learning,a transformative tool in medical research,enables comprehensive analysis of multimodal data to identify specific biomarkers and improve the accuracy of predictions for clinical outcomes and adverse events.This review summarized the latest developments in machine learning applications aim at predicting post-thrombectomy prognosis and risk of adverse event,including futile recanalization,hemorrhagic transformation,and malignant cerebral edema in patients with anterior circulation ALVOS in order to provide a basis for developing personalized treatment plan and improve their clinical prognosis.

Objective:To describe the temporal trend of disease burden of idiopathic epilepsy in China from 1990 to 2021 and predict the incidence of idiopathic epilepsy in China from 2022 to 2035 to provide references for the formulation of relevant health policies and measures.Methods:Based on data from the Global Burden of Disease Study 2021 (GBD 2021) database regarding idiopathic epilepsy in China, changes in disease burden from 1990 to 2021 were acquired. Disease burden was quantified using age-standardized incidence rate (ASIR), age-standardized prevalence rate (ASPR), age-standardized mortality rate (ASMR), age-standardized disability-adjusted life years (DALYs) rate (ASDR) and their 95% uncertain interval (UI). Temporal trend analysis was performed using a linear regression model to estimate the estimated annual percent change (EAPC) and annual percentage change (APC) in incidence of idiopathic epilepsy and their 95% CI. Additionally, incidence and number of patients with idiopathic epilepsy in China from 2022 to 2035 were predicted using Bayesian age-period-cohort model. Results:The ASIR of idiopathic epilepsy increased from 22.35 per 100,000 population in 1990 (95% UI: 15.04-30.92 per 100,000 population) to 28.19 per 100,000 population in 2021 (95% UI: 19.03-37.89 per 100,000 population), with an EAPC of 0.12% (95% CI: -0.10%-0.34%); ASPR of idiopathic epilepsy increased from 189.27 per 100,000 population in 1990 (95% UI: 132.48-252.95 per 100,000 population) to 214.71 per 100,000 population in 2021 (95% UI: 150.10-278.56 per 100,000 population), with an EAPC of -0.32% (95% CI: -0.57%-0.06%); ASMR of idiopathic epilepsy decreased from 1.86 per 100,000 population in 1990 (95% UI: 1.59-2.24 per 100,000 population) to 0.80 per 100,000 population in 2021 (95% UI: 0.67-1.00 per 100,000 population), with an EAPC of -2.96% (95% CI: -3.09%-2.82%); ASDR of idiopathic epilepsy decreased from 178.60 per 100,000 population in 1990 (95% UI: 143.44-220.63 per 100,000 population) to 101.39 per 100,000 population in 2021 (95% UI: 72.51-139.40 per 100,000 population), with an EAPC of -2.38% (95% CI: -2.54%-2.22%). The prediction model showed that by 2035, the prevalence of idiopathic epilepsy in China will be 28.27 per 100,000 (95% CI: 23.19-38.66), with an estimated 394,928 incident cases (95% CI: 324,037-540,128). Conclusions:From 1990 to 2021, the ASIR and ASPR of idiopathic epilepsy in China show an upward trend, while the ASMR and ASDR hace a decline trend. Incidence of idiopathic epilepsy in China is expected to remain stable over the next decade.

The "Guidelines for the Ergonomic Prevention of Work-related Musculoskeletal Disorders Part 3 in Shipbuilding Operations" (T/WSJD 14.3-2024) was published and implemented in March 2024, providing a basis for scientific prevention and control of musculoskeletal disorders in shipbuilding operations. In this paper, the background, formulation process, basis and main content of the standard project are interpreted and analyzed, so as to help relevant practitioners and managers more fully understand and implement the ergonomic program proposed by the standard, and provide scientific and accurate technical support for enterprises.

Objective To investigate the expression of miR-204 and silence information regulator 1(SIRT1)in colorectal cancer and their clinical value.Methods Cancer tissue specimens and paracancer tissue specimens of 60 patients with colorectal cancer treated in Department of Gastrointestinal Surgery of Affiliated Hospital of Jiaxing University from May 2018 to June 2020 were collected as study objects.Real time fluorogenic quantitative polymerase chain reaction was used to detect the gene expression of miR-204 and SIRT1,and the correlation between miR-204 and SIRT1 gene expression was compared by Pearson analysis.Immunohistochemical SABC method was used to detect SIRT1 protein expression,and relationship between different SIRT1 protein expression and clinicopathological features was compared.Kaplan-Meier method was used to analyze the survival difference of colorectal cancer patients with different SIRT1 protein expression.Results The mRNA expression of miR-204 gene in cancer tissues was significantly lower than that in paracancer tissues(P<0.05),and the mRNA expression of SIRT1 gene was significantly higher than that in paracancer tissues(P<0.05).Pearson correlation analysis showed that miR-204 was negatively correlated with SIRT1 mRNA expression in both paracancer tissues and cancer tissues(r=-0.647,-0.737,P<0.05).The expression of SIRT1 protein was correlated with the differentiation level,invasion level,lymph node metastasis and TNM stage of colorectal cancer(P<0.05),but not with patient age,gender,tumor size and tumor site(P>0.05).Kaplan-Meier analysis showed that the survival rate of patients with positive expression of SIRT1 in cancer tissues was significantly lower than that of patients with negative expression of SIRT1(χ2=5.001,P=0.025).Conclusion The expression of miR-204 is down-regulated and SIRT1 expression is up-regulated in colorectal cancer tissues,which may jointly promote the metastasis and invasion of colorectal cancer and affect the prognosis of patients through mutual influence.

{L-End}Objective To analyze the prevalence of multi-site work-related musculoskeletal disorders (WMSDs) and their influencing factors among workers in the chemical pharmaceutical industry. {L-End}Methods A total of 563 workers from three chemical pharmaceutical factories in Guangzhou City were selected as the research subjects using the judgment sampling method. The prevalence of multi-site WMSDs in the past 12 months was investigated using the electronic questionnaire of Chinese Version of Musculoskeletal Disorders Questionnaire. {L-End}Results The prevalence of multi-site WMSDs in the research subjects was 30.0% (169/563). The results of multivariable logistic regression analysis showed that workers who smoked regularly/frequently and those who had their hands above shoulder level for long periods of time had a lower risk of multi-site WMSDs than those who never/occasionally smoked (all P≤0.05). Workers with a high school, secondary specialty, college degree, or above had a lower risk of multi-site WMSDs than those with a middle school education or below (all P<0.05). The longer the daily working hours, the higher the risk of multiple WMSDs (all P<0.05). Workers with regular/frequently work shifts had a lower risk of multi-site WMSDs than those with none/occasional work shifts (P<0.05). {L-End}Conclusion The prevalence of multi-site WMSDs among workers in the chemical pharmaceutical industry is relatively high. The influencing factors are individual factors, unreasonable work organization and poor ergonomics factors.

Background Work-related musculoskeletal disorders (WMSDs) are one of the major occupational health problems in the world. Pharmaceutical industry is an important part of China's national economy. At present, there are few related studies reported at home and abroad. Objective To investigate the status and influencing factors of WMSDs in chemical pharmaceutical industry. Methods A cross-sectional epidemiological survey was conducted among all workers from three chemical pharmaceutical enterprises in Guangzhou. The Musculoskeletal Disorders Questionnaire was used to collect information on demographic characteristics, symptoms of musculoskeletal disorders, types of work, work organization, and and work postures. Multiple logistic regression method was used to analyze the risk factors of WMSDs in chemical pharmaceutical workers. Results In this study, 563 workers were selected as subjects. The total prevalence rate of WMSDs symptoms in the chemical pharmaceutical workers was 43.9% (247/563), and the leading body part-specific prevalence rate from high to low was 34.3% in the lower back, 24.3% in the upper back, 24.0% in the shoulders, and 23.8% in the neck. The prevalence rate of WMSDs symptoms in multiple body parts (30.0%) was 2.16 times higher than that in single body part (13.9%), and the prevalence rate of WMSDs symptoms in four body parts was the highest (11.4%). The results of multiple logistic regression analysis showed that age ≥50 years (reference age <30 years) (OR=2.140, 95%CI: 1.054-4.345), often or very often (reference never/rarely) long-time head rotating (OR=2.695, 95%CI: 1.753-4.142) and long-time keeping arms above shoulders (OR=1.902, 95%CI: 1.108-3.265) increased the risk of reporting WMSDs symptoms (P<0.05). Regarding education level, workers with high school and technical secondary school (OR=0.333, 95%CI: 0.175-0.636) or college and above (OR=0.413, 95%CI: 0.216-0.790) education had a lower risk of reporting WMSDs symptoms than those with middle school or below (P<0.05). Conclusion The prevalence rate of reporting WMSDs symptoms in chemical pharmaceutical industry is high, the involving body parts are lower back, upper back, shoulders, and neck, and reporting simultaneous occurrence of WMSDs symptoms in multiple body parts is common. The chemical pharmaceutical manufacturers can reduce the risk of WMSDs by strengthening the training on workers' ergonomics knowledge, paying attention to the less educated personnel, protecting the elderly workers, and avoiding awkward work postures, like rotating head for a long time and raising arms over shoulders.

Background Most of the studies on grading and classification of occupational health compre-hensive risks for specific employers still remain in the establishment and description of methodology, and practical application studies are rarely reported. Objective To explore the application of an occupational disease hazards comprehensive risk assessment method issued by the National Disease Control and Prevention Bureau in conjunction with the National Health Commission and a self-developed occupational health grading and classification method in petroleum refining enterprises, and to provide practical experience for the implementation of differentiated law enforcement by relevant regulatory authorities. Methods Two occupational health grading and classification methods were practiced in three petroleum refining enterprises in Guangdong Province. The occupational hazards comprehensive risk assessment method was provided by the Notice on Carrying out Pilot Work of Occupational Health Classification Supervision and Law Enforcement of the National Disease Control and Prevention Bureau and the National Health Commission. The principle was to derive the occupational health risk level according to nature of occupational hazards, exposure level, and number of workers exposed to them in an employer, and then to classify them into Class A, Class B, and Class C by combining with local occupational health management status level. The occupational health grading and classification method was self-developed according to available domestic and foreign occupational health risk assessment methods. Its principle was to calculate the risk level of each workstation in an employer based on published carcinogenicity classification or LD₅₀/LC₅₀ of chemical toxicants, level of noise, exposure parameters such as exposure level and exposure frequency, estimate the comprehensive risk R_o of the target employer by the Romanian comprehensive risk calculation method, and then calculate a comprehensive risk R_o' weighted by the occupational health management index of the target employer and classify it into class A, class B, and class C. Finally, assessment results, scope of application, inquired indicators, advantages,disadvantages and professional competence requirements of the two grading and classification methods were compared. Results The occupational hazards that were evaluated in three enterprises in this study were benzene, toluene, xylene, gasoline, hydrogen sulfide, and noise. The exposure levels of benzene, toluene, xylene, and gasoline were all below 10% OEL (occupational exposure limit), and hydrogen sulfide and noise were disqualified. Occupational hazards such as benzene and hydrogen sulfide were serious occupational hazards in the three enterprises, and the number of workers exposed was 461, 912, and 224, respectively; the HRs (hazard ratings) of benzene, toluene, xylene, gasoline, hydrogen sulfide, and noise were level 5, 3, 2, 3, 5, and 3 respectively. The occupational health management status of the three enterprises was graded as B, A, and B, respectively by the occupational disease hazards comprehensive risk assessment method. The occupational health management index of the three enterprises was graded as B, A, and A, respectively by the occupational health grading and classification method. The comprehensive risk assessment results showed that two enterprises classified into as the highest class C and one into class B by the occupational disease hazards comprehensive risk assessment method, while all three enterprises were classified into class B by the occupational health grading and classification method. Conclusion The two grading and classification methods are not consistent in the evaluation results of petroleum refining enterprises, and there are differences in the evaluation scope, indicators to be collected, and professionalism. It is recommended that occupational health regulators should fully consider the advantages and disadvantages of the two methods and choose the appropriate assessment method according to the actual regulatory purpose.