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.

As a primary approach to safeguarding workers' occupational health in China, the work-related injury insurance still has insufficient preventive measures for occupational groups. By reviewing the preventive measures embedded in Germany’s statutory accident insurance (Gesetzliche Unfallversicherung) and Japan’s workers’ accident compensation insurance, this study summarized their best practices and then proposed the following policy directions based on China’s specific context: strengthening the prevention-oriented institutional framework, increasing financial investment in occupational injury prevention, improving the incentive mechanisms of floating premium rate, and promoting data integration and intelligent applications in occupational health management. These measures are expected to shift China’s work-related injury insurance system from a compensation-oriented model to one that emphasizes comprehensive prevention and health promotion, thereby providing useful insights for better safeguarding the health of Chinese workers.

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.

Objective To explore the optimal postoperative adjuvant regimens for patients with stage IB lung adenocarcinoma.Methods We respectively analyzed the data of 653 patients undergoing surgery for stage IB lung adenocarcinoma in our hospital from January,2013 to December,2021.The 5-year disease-free survival(DFS)and overall survival(OS)rates were compared among the patients receiving postoperative adjuvant therapy with epidermal growth factor-tyrosine kinase inhibitors(EGFR-TKIs group,n=111),chemotherapy(CT group,n=108)and clinical observation(CO group,n=434).Results In TKIs,CT,and CO groups,the 5-year DFS rates were 92.8%,80.7%,and 81.7%,respectively,significantly higher in TKIs group than in CO group(P<0.01).The 3-year OS rates of the 3 groups were 96.8%,97.1%,and 91.7%,respectively.Subgroup analysis showed that in TKIs,CT,and CO groups,the 5-year DFS rates of patients with with T3-4 cmN0M0 were 92.6%,84.0%,and 81.4%,respectively,significantly higher in TKIs group than in CO group(P<0.05);the 5-year DFS rates of T2ViscPlN0M0 patients were 95.1%,71.4%,and 83.5%,respectively.Multivariate COX regression analysis showed that age(P<0.05;HR=0.631,95%CI:0.401-0.993),solid nodules(P<0.01;HR=7.620,95%CI:3.037-19.121),micropapillary or solid component(P<0.05;HR=1.776,95%CI:1.010-3.122),lymphovascular invasion(P<0.05;HR=2.981,95%CI:1.198-7.419),and adjuvant therapy(P<0.01)were independent predictors of DFS.The most common adverse effects included rashes,paronychia,and diarrhea for TKIs and hematological suppression and gastrointestinal reactions for chemotherapy,and TKIs were associated with a higher incidence of grade 3 or above adverse effects(44.4%vs 9.0%).Conclusion Adjuvant therapy with TKIs helps improve DFS in patients with stage IB(T3-4cmN0M0)lung adenocarcinoma but not in patients with T2ViscPlN0M0.Adjuvant chemotherapy does not improve DFS or OS in patients with stage IB lung adenocarcinoma.

Objective To explore the optimal postoperative adjuvant regimens for patients with stage IB lung adenocarcinoma.Methods We respectively analyzed the data of 653 patients undergoing surgery for stage IB lung adenocarcinoma in our hospital from January,2013 to December,2021.The 5-year disease-free survival(DFS)and overall survival(OS)rates were compared among the patients receiving postoperative adjuvant therapy with epidermal growth factor-tyrosine kinase inhibitors(EGFR-TKIs group,n=111),chemotherapy(CT group,n=108)and clinical observation(CO group,n=434).Results In TKIs,CT,and CO groups,the 5-year DFS rates were 92.8%,80.7%,and 81.7%,respectively,significantly higher in TKIs group than in CO group(P<0.01).The 3-year OS rates of the 3 groups were 96.8%,97.1%,and 91.7%,respectively.Subgroup analysis showed that in TKIs,CT,and CO groups,the 5-year DFS rates of patients with with T3-4 cmN0M0 were 92.6%,84.0%,and 81.4%,respectively,significantly higher in TKIs group than in CO group(P<0.05);the 5-year DFS rates of T2ViscPlN0M0 patients were 95.1%,71.4%,and 83.5%,respectively.Multivariate COX regression analysis showed that age(P<0.05;HR=0.631,95%CI:0.401-0.993),solid nodules(P<0.01;HR=7.620,95%CI:3.037-19.121),micropapillary or solid component(P<0.05;HR=1.776,95%CI:1.010-3.122),lymphovascular invasion(P<0.05;HR=2.981,95%CI:1.198-7.419),and adjuvant therapy(P<0.01)were independent predictors of DFS.The most common adverse effects included rashes,paronychia,and diarrhea for TKIs and hematological suppression and gastrointestinal reactions for chemotherapy,and TKIs were associated with a higher incidence of grade 3 or above adverse effects(44.4%vs 9.0%).Conclusion Adjuvant therapy with TKIs helps improve DFS in patients with stage IB(T3-4cmN0M0)lung adenocarcinoma but not in patients with T2ViscPlN0M0.Adjuvant chemotherapy does not improve DFS or OS in patients with stage IB lung adenocarcinoma.

Objective To investigate the effect of SMAD family member 3(SMAD3) silenced by small interfering RNA (siRNA) on macrophage polarization and transforming growth factor β1 (TGF-β1)/ SMAD family signaling pathway in rheumatoid arthritis (RA). Methods RA macrophages co-cultured with rheumatoid arthritis fibroblast-like synoviocytes (RA-FLS) were used as a cell model. TGF-β1 was used to stimulate macrophages, and SMAD3-specific siRNA (si-SMAD3) and negative control siRNA (si-NC) were transfected into human RA macrophages co-cultured in Transwell^TM chamber. The expression of SMAD3 mRNA was detected by real-time fluorescence quantitative PCR, and the expression of TGF-β1, SMAD3 and SMAD7 protein was detected by Western blot analysis. The contents of TGF-β1 and IL-23 in cell culture supernatant were determined by ELISA. Cell proliferation was detected by CCK-8 assay. Transwell^TM chamber was used to measure cell migration. Results Compared with the model group and the si-NC group, the expression of TGF-β1, SMAD3 mRNA and protein in RA macrophages decreased significantly after silencing SMAD3. In addition, the secretion of IL-23 decreased significantly, and the cell proliferation activity and cell migration were inhibited, with high expression of SMAD7. Conclusion Knockdown of SMAD3 can promote M2 polarization and SMAD7 expression in RA macrophages.
Humans ; Arthritis, Rheumatoid/genetics* ; Interleukin-23 ; Macrophages ; RNA, Messenger ; RNA, Small Interfering/genetics* ; Smad7 Protein/genetics* ; Transforming Growth Factor beta1/genetics* ; Smad3 Protein/genetics* ; Gene Silencing

OBJECTIVE: To analyze the clinicopathological characteristics and risk factors of 4L lymph node metastasis in left non-small cell lung cancer. METHODS: We retrospectively analyzed the data of 134 patients undergoing surgical resection of left non-small cell lung cancer and 4L lymph node dissection, including 60 patients with squamous cell carcinoma (SCC) and 74 with lung adenocarcinoma (ADC). The clinicopathological characteristics of the patients were analyzed, and logistic regression analysis was used to identify the predictors of station 4L metastasis. RESULTS: Of these patients, 16.4% (22/134) presented with station 4L metastasis. The patients with SCC and ADC showed significant differences in age, gender, smoking history, neoadjuvant chemotherapy, tumor size, tumor location and type, visceral pleural invasion, Ki-67 index, 4L metastasis and pathological TNM stage (stage Ⅱ). The rate of station 4L metastasis was significantly lower in SCC group than in ADC group. Univariate analysis revealed that pathological types (SCC or ADC), visceral pleural invasion, lymphovascular invasion, tumor markerabnormality, and station 5 to 10 metastasis were all high-risk factors for station 4L metastasis. Multivariate analysis suggested that the pathological type (OR=0.120, CONCLUSIONS In patients with left non-small cell lung cancer, station 4L metastasis is not rare and is more likely to occur in patients with lung adenocarcinoma. Dissection of the 4L lymph nodes should be performed in cases with low risk of damages of the adjacent tissues and high risk of station 4L metastasis.
Carcinoma, Non-Small-Cell Lung/pathology* ; Humans ; Lung Neoplasms/pathology* ; Lymph Node Excision ; Lymph Nodes/pathology* ; Lymphatic Metastasis ; Neoplasm Staging ; Prognosis ; Retrospective Studies ; Risk Factors