Occupational hazards pose a major public health challenge that seriously endangers the health of the working population. As a statutory key component of occupational health work, occupational health risk assessment urgently requires more attention. Currently, commonly used occupational health risk assessment methods exhibit notable deficiencies such as insufficient comprehensive assessment capabilities and limited applicability. The absence of assessment methods that accurately align with occupational health practices has constrained the depth and breadth of occupational health risk assessment in China, resulting in inadequate risk identification and significant deficiencies in social service provision, decision-making support, and health protection. Meanwhile, under the current assessment system, the occupational health big data obtained from risk assessments, occupational health examinations, biological monitoring, and other sources suffer from issues such as fragmented resources and low utilization rates. As a result, existing systems are unable to effectively support critical operational needs, including accurate risk early warning, timely risk response, and refined risk management. This study systematically reviewed the common occupational health risk assessment methods and the current status of occupational health risk assessment and big data applications in China, identified existing shortcomings, proposed a comprehensive risk assessment and risk prediction-early warning scheme based on the application of occupational health big data. The scheme is expected to provide theoretical foundations and methodological references for advancing comprehensive risk assessment of occupational health through big data analytics, and to enhance the level of occupational health management, thereby safeguarding worker health and promoting sustainable socioeconomic development.

Objective To analyze the influenza-like illness (ILI) data in Ordos City from 2017 to 2023 and conduct nucleic acid detection of the virus to understand the local influenza epidemic situation, and to provide a reliable basis for influenza prevention and control in the city. Methods Real-time quantitative polymerase chain reaction (qPCR) was used to identify virus subtypes in ILI throat swab samples. Comparisons of positive rates were conducted using the chi-square test, with a significance level of α=0.05. Results From 2017 to 2023, a total of 3,283,434 outpatient and emergency visits were recorded at the Ordos City Central Hospital, including 74,159 ILI cases, with an ILI proportion of 2.26%. The majority of ILI cases (74.43%) occurred in children aged 0~14 years old. The overall positive rate of influenza virus nucleic acid detection was 10.87%, with the highest proportion being subtype A (seasonal H3) at 43.03%. The highest detection rate was observed in the 5~14 years age group, with statistically significant differences in positive rates across age groups (χ²=155.638, P<0.001). Influenza peaks occurred mainly from November to March of the following year. From January to April, three types of influenza were prevalent alternately or mixed, while from October to December, subtype A (seasonal H3) predominated. Positive rates varied significantly across months (χ²=250.923, P<0.001). The temporal trends of ILI proportions and PCR-positive rates were consistent. Conclusion Influenza in Ordos City exhibits distinct seasonal and age distribution characteristics, with alternating or mixed circulation of three virus types. Continued efforts are needed to strengthen influenza surveillance, especially the prevention and control of influenza in infants and adolescents.

Background The prevalence of chronic diseases among the Chinese occupational population is rising steadily, with hypertension and diabetes becoming important health concerns. Occupational health examinations (OHE) provide stable population coverage, standardized protocols, and fixed follow-up intervals, offering a robust data foundation for risk assessment. However, most existing hypertension prediction studies rely on cross-sectional data and mainly focus on clinic onset, failing to capture the dynamic progression and cumulation of individual risk. Objective To construct a machine learning-based risk prediction model for blood pressure abnormality in occupational populations, providing a reference for health risk stratification and targeted health interventions. Methods Longitudinal data from 2020 to 2023 were extracted from the occupational health examination database of an institution in Shanghai. After excluding individuals with hypertension in any of the first three years, 3710 workers who participated 4 consecutive years of OHE were included. Six categories of blood pressure-related indicators from 2020 to 2022 were selected, including basic information, lifestyles, occupational exposures, cardiovascular indicators, routine blood tests, and biochemical markers, comprising 30 variables in total. For feature engineering, continuous variables were processed to reflect three-year dynamic characteristics: level (mean), variability (variance), and temporal trend (slope). Categorical variables were incorporated using 2022 values. Least absolute shrinkage and selection operator regression was applied to identify variables for inclusion in the machine learning models. Five models (decision tree, logistic regression, random forest, support vector machine, and XGBoost) were employed to predict blood pressure abnormality risk in 2023. And then sensitive analysis was conducted. The optimal model was selected based on the area under the curve (AUC) of receiver operating characteristic. Feature importance and SHAP analyses were applied to interpret the final model. Results Feature engineering transformed 17 continuous variables into 51 secondary variables, combined with 13 baseline variables, resulted in 24 variables screened out by LASSO regression. The logistic regression model achieved the best performance. Feature importance analysis indicated that the dynamic trajectory of blood pressure played a central role in the model, complemented by other biochemical and lifestyle indicators. SHAP analysis further showed that the model’s ability to not only identify risks of high-normal blood pressure and hypertension but also quantify the specific contribution of individual examination indicators to predicted risk, supporting risk-stratified population management in occupational health management. Conclusion Based on an existing occupational health examination database and routinely collected data, this study has developed a risk prediction model for blood pressure abnormalities in occupational populations. By incorporating dynamic change characteristics from longitudinal examinations, the study demonstrates the feasibility of using routine health data for early risk identification and stratified management. However, its applicability is limited by the availability of repeated examination data and the focus on specific occupational groups, requiring further validation across broader populations and diverse clinic scenarios.

Objective·To investigate the role of HEN methyltransferase 1(HENMT1)in the proliferation and migration of gastric cancer(GC)and its potential molecular mechanisms.Methods·The expression of HENMT1 in GC was examined using bioinformatics databases,Western blotting and quantitative real-time PCR(qPCR).Kaplan-Meier Plotter and BEST online tools were used to analyze the correlations between HENMT1 expression and overall survival,perineural invasion,subtypes,tumor location and Lauren classification in clinical GC patients.GC cells were cultured in vitro and treated with small interfering RNA(siRNA)targeting HENMT1 and HENMT1 overexpression vectors,in combination with a PI3K activator(740 Y-P)or PI3K inhibitor(3-MA).The roles of HENMT1 in GC cell proliferation and migration were assessed using cell counting kit-8(CCK-8)assay,colony formation assay,wound healing assay and Transwell migration assay.Results·HENMT1 was significantly upregulated in GC and positively associated with perineural invasion.Its expression was closely related to GC subtypes,being most pronounced in the proliferative subtype,and was higher in intestinal-type GC according to the Lauren classification.However,HENMT1 expression showed no significant correlation with overall survival or tumor location(including gastric body,cardia,antrum and whole stomach).Functional experiments demonstrated that silencing HENMT1 inhibited GC cell proliferation and migration,whereas overexpression of HENMT1 enhanced these capabilities.Mechanistically,silencing HENMT1 reduced the levels of phosphorylated PI3K,AKT and mTOR,as well as their total protein expression.Conversely,HENMT1 overexpression upregulated these proteins.Moreover,siHENMT1 combined with the PI3K activator 740 Y-P effectively reversed the proliferation and migration effects induced by 740 Y-P,while overexpressed HENMT1 combined with the PI3K inhibitor 3-MA reversed the suppressive effects of 3-MA on GC cell proliferation and migration.Conclusion·HENMT1 is highly expressed in GC and positively regulates the proliferation and migration of gastric cancer cells by activating the PI3K-AKT-mTOR signaling pathway.

Objective:To investigate the correlation between the hemodynamic pattern of non-culprit vessel stenosis and long-term vessel-oriented composite outcome(VOCO) in patients with acute ST-segment elevation myocardial infarction (STEMI).Methods:From January 2019 to December 2021, 233 consecutive patients with STEMI and non-culprit vessel stenosis were prospectively enrolled at Shanghai East Hospital. The median follow-up duration was 3.9 years. The 367 non-culprit vessels of the 233 patients were divided into the VOCO group (33 vessels, 9.0%) and the non-VOCO group (334 vessels, 91.0%). Parameters pertaining to the hemodynamic pattern of non-culprit vessel stenosis between the two groups were compared. Receiver operating characteristic (ROC) curves were used to assess the correlation between hemodynamic pattern and VOCO, and Cox multivariate regression and logistic multivariate regression analyses were applied to identify independent predictors of VOCO.Results:The 233 enrolled patients were aged (62.5±12.9) years, with 193 males (82.8%). In the VOCO group, the maximum quantitative flow ratio (QFR) decreased within 20 mm of the QFR-assessed segment, the difference in QFR across the entire vessel, the length of functionally significant vessel, and the maximum gradient of QFR decrease (dQFR/dsmax) were significantly greater than those in the non-VOCO group. ROC curve analysis showed that the optimal threshold for predicting VOCO using dQFR/dsmax was 0.009 6 (area under the curve: 0.691, 95% CI: 0.606-0.775, P<0.001). Multivariable Cox regression analysis revealed that dQFR/dsmax was an independent predictor of VOCO ( HR=1.199, 95% CI: 1.070-1.343, P=0.002). When anatomical and functional stenosis severities were included in the model, a high pullback pressure gradient (PPG) index ( HR=1.572, 95% CI: 1.052-2.351, P=0.027) emerged as an independent predictor of VOCO. Multivariable logistic regression analysis revealed that a low PPG index( OR=2.851, 95% CI: 1.945-4.178, P<0.001) was an independent predictor of QFR≤0.80 without long-term VOCO. Conclusion:In patients with STEMI, localized hemodynamic patterns of coronary artery stenosis, characterized by high dQFR/dsmax and high PPG index, are associated with long-term VOCO.

The core idea of occupational health risk assessment models is to systematically evaluate occupational health risks according to target hazard characteristics and relevant exposure levels of workers. Occupational exposure assessment is based on concentration, frequency, exposure time, and other indicators that indicate actual exposure of workers to occupational hazards, which is a critical component of health risk assessment. However, the accuracy and comparability of assessment results are affected by differences in parameter assignment for exposure assessment across different studies, as well as insufficient emphasis on multiple occupational hazard exposure. This review aimed to explore the assignment and standardization of exposure assessment parameters for occupational health risk assessment modeling, and systematically sorted out the meaning, assignment methods, and sources of exposure assessment related parameters in commonly used occupational health risk assessment models, with the goal of providing researchers with standardized assessment tools to enhance the scientific rigor and practicality of occupational health risk assessments. Considering the individual differences and temporal fluctuations in occupational exposure, it is recommended that researchers should adopt appropriate sampling strategies, reasonably select sample subjects and time based on the division of similar exposure group (SEG), and conduct statistical inference on the obtained data to derive representative exposure parameters. For combined exposure to chemicals with similar toxic effects, the health risk assessment methods are relatively mature. However, the assessment of combined exposure to hazards with different properties and health effects still lacks scientific authority and needs further research and discussion.

BACKGROUND:Magnetic resonance imaging is the gold standard for the diagnosis of osteonecrosis of femoral head,and previous methods of predicting osteonecrosis of femoral head collapse based on magnetic resonance images mostly require the combined assessment of coronal and sagittal images.However,osteonecrosis of femoral head tends to occur bilaterally,most hospitals perform bilateral hip magnetic resonance imaging scans during clinical examinations,but the bilateral hip scans can only view coronal and cross-sectional images,and it is difficult to obtain sagittal images,which affects the assessment of the risk of collapse.Therefore,it is of clinical value to establish a method to assess the risk of early osteonecrosis of femoral head collapse by applying the images that can be obtained after bilateral hip magnetic resonance scanning. OBJECTIVE:To establish a method of applying coronal and cross-sectional images of bilateral hip magnetic resonance imaging to assess the risk of osteonecrosis of femoral head collapse. METHODS:The medical records of 111 patients(181 hips)with early-stage osteonecrosis of femoral head diagnosed at the outpatient clinic of Honghui Hospital Affiliated to Xi'an Jiaotong University from October 2017 to October 2019 were retrospectively analyzed.They were categorized into collapsed and non-collapsed groups according to the femoral head collapse at the final follow-up,with 69 hips in the collapsed group and 112 hips in the non-collapsed group.The angle of necrotic range on the images of median coronal plane,transverse plane or one level above and below it was measured on the magnetic resonance imaging system.The sum of the two angles of necrotic angle on the coronal and transverse planes was used as the combined necrotic angle.The average of the three combined necrotic angles of each hip was taken to get the average combined necrotic angle of each hip.Finally,the correlation between the three combined necrotic angles and the average combined necrotic angle with the collapse of osteonecrosis of femoral head was analyzed,and the specificity and sensitivity of the four combined necrotic angles in predicting collapse were evaluated by using receiver operating characteristic curves. RESULTS AND CONCLUSION:(1)Totally 69 hips(38.1%)had femoral head collapse at the last follow-up and were included in the collapsed group;112 hips(61.9%)did not have progression of collapse and were included in the non-collapsed group.(2)The difference between the collapsed group and the non-collapsed group in terms of Association Research Circulation Osseous(ARCO)stage was significant(P<0.001).The difference in age,body mass index,follow-up time,gender distribution,side of onset,and causative factors was not significant(P>0.05).(3)The results of independent samples t-test suggested that all four combined necrotic angles were significantly correlated with collapse(P<0.000 1);and the differences in combined necrotic angles between the collapsed group and the non-collapsed group of ARCO stage I and the two groups of ARCO stage II were all significant(P<0.000 1).(4)In the analysis of the receiver operating characteristic,the area under the curve of the average combined necrotic angle was greater than that of the combined necrotic angle on the lower level of the median,the middle level,and the upper level of the median.(5)The average combined necrotic angle had a higher accuracy in the prediction of collapse than the lower level of the median,the middle level,and the upper level of the combined necrotic angle.(6)It is concluded that the accuracy of the average combined necrotic angle in predicting the risk of osteonecrosis of femoral head collapse is higher,and the clinical practicability is stronger,so we can consider using this method to predict the risk of osteonecrosis of femoral head collapse.

As the prevalence of chronic diseases increases among occupational populations in China, the focus of occupational health management has shifted from ″occupational disease prevention and control″ to ″occupational disease and chronic disease prevention and control″. At present, occupational medical examinations (OME) are mainly focused on occupational disease prevention and control, and generally lack of chronic disease indicators such as blood lipids and blood glucose, limiting the role of OME in life-cycle health management of workers. To address this gap, it is necessary to incorporate chronic disease screening indicators into OME. Integrating OME and chronic disease screening faces bottlenecks, including concerns about increased operating costs in small- and medium-sized enterprises, and the risk of employment discrimination caused by the leakage of employee health privacy. A tiered strategy is recommended. Incorporating low-cost indicators such as blood lipids, waist circumference into routine examinations, and customizing advanced screening for elder or high-risk position workers. The prioritization of screening indicators can be determined by expert consultation and employer-employee discussions. Meanwhile, the results of chronic disease screening indicators should not be included in occupational health surveillance records to protect workers′ privacy. In summary, expanding OME to cover more chronic disease indicators provides valuable economic and social benefits. In the long run, common chronic disease screening indicators should be included in the regular medical examination indicators of OME, thereby reducing the burden of chronic diseases on occupational populations and promoting the health management of occupational populations.

ObjectiveTo investigate the chemical hazards in the production line of lithium batteries, so as to provide a scientific basis for the management of occupational-health risk and to promote the healthy and sustainable development of the lithium battery industry. MethodsAn on-site survey on the process flow of the production of lithium battery was conducted in an enterprise. Volatile organic compounds (VOCs) in the occupational environment were collected by Summa canisters, carbonates and N-methyl pyrrolidone (NMP) were collected using activated carbon tubes, and airborne metals were collected using filter membranes. VOCs, carbonates and NMP were detected by gas chromatography-mass spectrometry (GC-MS), and airborne metal elements in the dust samples were analyzed by inductively coupled plasma mass spectrometry (ICP-MS). ResultsNon-targeted environmental monitoring results indicated that NMP was detected in the negative /positive electrode coating, assembly and drying filling workstations, dimethyl carbonate (DMC) was detected in the assembly, drying and electrolyte injection workstations, and ethyl methyl carbonate (EMC) was detected solely in the electrolyte injection workstation. Semi-quantitative analyses of VOCs identified 136 pollutants, including acrylonitrile and halohydrocarbons. Quantitative targeted environmental monitoring results revealed the highest geometric mean (GM) concentration of EMC (31.450 mg·m^-3) was found in the assembly and drying workstations, diethyl carbonate (DEC) was detected in all workstations. While vinylene carbonate (VC) and ethylene carbonate (EC) were detected only in electrolyte injection, assembly and drying workstations. NMP was detected in all positive electrode coating samples, with a GM concentration of 5.68 mg·m^-3 (concentration range: 4.0‒ 7.4 mg·m^-³). Lithium was exclusively detected in dust samples from the liquid injection workstation (GM: 0.014 μg·m^-³). ConclusionNMP, EMC, DEC, and other chemicals are identified at the key workstations such as the positive electrode coating, electrolyte injection, assembly and drying in the lithium production line. Furthermore, semi-quantitative VOCs analyses identified 136 pollutants, demonstrating a characteristic of multicomponent chemical exposure.

Objective To explore the indication, surgical technique, and clinical efficacy of the cross bar based on the Nuss procedure in pectus excavatum. Methods The clinical data of patients who underwent cross bar based on the Nuss procedure from August 2023 to August 2024 in Guangdong Provincial People's Hospital were retrospectively analyzed. Results A total of 88 patients including 85 males and 3 females with a mean age of (17.56±5.20) years were enrolled. All operations were performed successfully without intraoperative cardiac injury, pericardial injury or diaphragmatic injury. The mean operation time was (147.65±47.75) min. The mean blood loss was (13.30±9.06) mL. The mean postoperative hospitalization stay was (4.81±1.55) days, without perioperative death. Six (6.82%) patients developed early postoperative complications, including 3 patients of pleural effusion, 1 patient of subcutaneous hematoma, 1 patient of suffocation and 1 patient of bar rotation. The postoperative outcomes were excellent in 71 (80.68%) patients, good in 16 (18.18%) patients and moderate in 1 (1.13%) patient. The excellent and good rate was 98.86%. Conclusion The cross bar technique is safe and convenient, with satisfactory results. It is worth promoting in clinical application.