OBJECTIVE To evaluate the cost-effectiveness of rezivertinib versus gefitinib as first-line treatment for epidermal growth factor receptor （EGFR） mutation-positive advanced non-small cell lung cancer （NSCLC） from the perspective of the Chinese healthcare system. METHODS A Markov model was constructed based on the REZOR trial data， with a cycle length of 3 weeks and a study duration of 5 years. Both costs and health outcomes were discounted at an annual rate of 5%. A cost-utility analysis was conducted using 3 times China’s 2024 per capita gross domestic product as the willingness-to-pay （WTP） threshold. The economic differences between the rezivertinib regimen versus the gefitinib regimen were evaluated using the incremental cost- effectiveness ratio （ICER） and incremental net monetary benefit （INMB）. Sensitivity and scenario analyses were performed to verify the robustness of the model. RESULTS Compared to the gefitinib regimen， the rezivertinib regimen saved 225 310.47 yuan and gained an additional 0.57 quality- adjusted life years （QALYs）， resulting in an ICER of －395 562.80 yuan/QALY， which was much lower than the WTP threshold of this study， indicating that rezivertinib had an absolute economic advantage. The INMB analysis （389 041.26 yuan） further validated this conclusion. One-way and probabilistic sensitivity analyses confirmed the robustness of the model. Scenario analysis， incorporating a 15% reduction in drug prices and adjustments to the utility values for progression free survival and progression disease， yielded consistent results with the base case analysis. CONCLUSIONS Compared to gefitinib， rezivertinib as a first-line treatment for EGFR mutation-positive advanced NSCLC has an absolute economic advantage.

Background As a pillar industry in China, the manufacturing sector has a high incidence of non-fatal occupational injuries. The factors influencing non-fatal occupational injuries in this industry are closely related at various levels, including individual, equipment, environment, and management, making the analysis of these influencing factors complex. Objective To identify influencing factors of non-fatal occupational injuries among manufacturing workers, providing a basis for targeted interventions and surveillance. Methods A total of 2243 frontline workers from cable and shipbuilding enterprises were selected as study subjects to investigate the incidence of non-fatal occupational injuries and collect information at four levels: individual, equipment, management, and environment in past 12 months. Data balancing was performed using resampling, and LASSO regression was used to select factors of non-fatal occupational injuries. The influence degree and type of variables were judged based on the magnitude of the estimated coefficients of each variable, where variables with estimated coefficients > 0 are risk factors, and those <0 are protective factors. The area under the receiver operating characteristic (ROC)curve (AUC) was used to test the performance of the model, with an AUC value > 0.7 indicating good model performance. Results Among the 2243 frontline workers, males accounted for 77.7% (1742 out of 2243), with the main age range being 40-49 years old, representing 29.5% (661 out of 2243), 82.7% of the workers (1854 out of 2243) were married, and 55.6% (1248 out of 2243) had a junior middle school education level. The average monthly income for 51.0% (1144 out of 2243) of the workers was between 5000 and 6999 Chinese Yuan. The incidence of non-fatal occupational injuries among the manufacturing workers was 8.4% (189/2243) in the past 12 months. Among the 22 factors associated with the occurrence of non-fatal occupational injuries (P<0.05), 10 were individual-level factors, including gender, smoking, alcohol consumption, colleague relationships, average exercise duration, job burnout, work fatigue, musculoskeletal disorders, cardiovascular diseases, and neurological and sensory organ diseases; 3 were equipment-level factors, including equipment operability, hazardous workpieces, and safety hazards; 5 were environmental-level factors, including low temperatures, special operations, noise, workspace size, and dirty and disorderly environment; and 4 were management-level factors, including daily working hours, weekly working days, overtime, and pre-job technical training. The AUC value of the LASSO regression model was 0.704 and the final model retained a total of 10 variables. Among them, there were 7 risk factors for non-fatal occupational injuries (coefficient > 0), including safety hazards, musculoskeletal disorders, dangerous workpieces, job burnout, dirty and disorderly environment, smoking, and male gender; and 3 protective factors (coefficient < 0), including pre-job technical training, good colleague relationship, and long working days per week. Conclusion Manufacturing enterprises need to focus on the incidence of non-fatal occupational injuries and conduct targeted interventions for non-fatal occupational injuries by controlling potential safety hazards, providing pre-job technical training, reducing dangerous workpieces, rectifying working environment, and reasonably arranging working hours.

Background Diseases severely affect the efficiency of workers. Comorbidity refers to the coexistence of two or more chronic diseases or health problems in the same individual. Previous studies have primarily focused on occupational injuries caused by environmental exposures, while the analysis of the epidemiological characteristics of self-reported diseases and occupational injuries among manufacturing workers has been insufficient. Objective To analyze the distribution of self-reported diseases and occupational injuries among manufacturing workers, the strength of correlation between different diseases, and common disease combinations, and to preliminarily explore the relationship between self-reported diseases and occupational injuries. Methods A cross-sectional survey was conducted to investigate the occupational injuries of 2382 workers in 2 manufacturing enterprises over the past year, and 2355 questionnaires were valid after cleaning. The questionnaire included three parts: basic information, occupational injury occurrence, and disease prevalence. The self-reported diseases diagnosed by physicians included musculoskeletal diseases, cardiovascular diseases, respiratory diseases, mental health problems, neurological and sensory organ diseases, digestive organ diseases, reproductive and urinary organ diseases, skin diseases, tumors, endocrine and metabolic system diseases, blood diseases and birth defects, a total of 11 types. Log-binomial model was used to calculate the prevalence ratio (PR) value of the association between different diseases, and UpSet diagram was used to present the disease combination pattern. Results In total, 40.2% (946/2355) of the study participants reported at least one disease, while 8.6% (203/2355), 5.2% (122/2355), and 5.9% (140/2355) reported having two, three, and four or more diseases, respectively. A higher prevalence was observed for musculoskeletal diseases, neurological and sensory organ diseases, digestive organ diseases, and skin diseases, which accounted for 18.0% (423/2355), 13.8% (324/2355), 9.3% (218/2355), and 9.1% (214/2355), respectively. Workers with musculoskeletal disorders, cardiovascular diseases, or neurological and sensory organ diseases reported significantly higher incidence of occupational injuries compared with workers without the corresponding diseases (P<0.001, P=0.041, and P=0.006, respectively). Musculoskeletal diseases were strongly associated with comorbidities of neurological and sensory organ diseases (PR values were 1.86 and 1.98, respectively), and the other patters were musculoskeletal diseases and digestive organ diseases (PR and OR values were 1.57 and 2.35, respectively), and musculoskeletal diseases and cardiovascular diseases (PR and OR values were 1.46 and 2.22, respectively). The largest binomial comorbidity group involved musculoskeletal diseases and neurological and sensory organ diseases, accounting for 5.4% (25/465) of the comorbid workers. Conclusion Among the self-reported diseases of manufacturing workers, musculoskeletal diseases, neurological and sensory organ diseases, digestive organ diseases, and skin diseases are more common. Musculoskeletal diseases and neurological and sensory organ diseases are the most common in all comorbidities. Musculoskeletal diseases, cardiovascular diseases, and neurological and sensory organ diseases are associated with occupational injuries. In the prevention and control of occupational injuries, joint prevention strategies targeting multiple diseases should be strengthened.

OBJECTIVE To optimize the simmering technology of Rheum palmatum from Menghe Medical School and compare the difference of chemical components before and after processing. METHODS Using appearance score， the contents of gallic acid， 5-hydroxymethylfurfural （5-HMF）， sennoside A+sennoside B， combined anthraquinone and free anthraquinone as indexes， analytic hierarchy process （AHP）-entropy weight method was used to calculate the comprehensive score of evaluation indicators； the orthogonal experiment was designed to optimize the processing technology of simmering R. palmatum with fire temperature， simmering time， paper layer number and paper wrapping time as factors； validation test was conducted. The changes in the contents of five anthraquinones （aloe-emodin， rhein， emodin， chrysophanol， physcion）， five anthraquinone glycosides （barbaloin， rheinoside， rhubarb glycoside， emodin glycoside， and emodin methyl ether glycoside）， two sennosides （sennoside A， sennoside B）， gallic acid and 5-HMF were compared between simmered R. palmatum prepared by optimized technology and R. palmatum. RESULTS The optimal processing conditions of R. palmatum was as follows: each 80 g R. palmatum was wrapped with a layer of wet paper for 0.5 h， simmered on high heat for 20 min and then simmered at 140 ℃， the total simmering time was 2.5 h. The average comprehensive score of 3 validation tests was 94.10 （RSD＜1.0%）. After simmering， the contents of five anthraquinones and two sennosides were decreased significantly， while those of 5 free anthraquinones and gallic acid were increased to different extents； a new component 5-HMF was formed. CONCLUSIONS This study successfully optimizes the simmering technology of R. palmatum. There is a significant difference in the chemical components before and after processing， which can explain that simmering technology slows down the relase of R. palmatum and beneficiate it.

Tumor drug resistance is an important problem in the failure of chemotherapy and targeted drug therapy, which is a complex process involving chromatin remodeling. SWI/SNF is one of the most studied ATP-dependent chromatin remodeling complexes in tumorigenesis, which plays an important role in the coordination of chromatin structural stability, gene expression, and post-translation modification. However, its mechanism in tumor drug resistance has not been systematically combed. SWI/SNF can be divided into 3 types according to its subunit composition: BAF, PBAF, and ncBAF. These 3 subtypes all contain two mutually exclusive ATPase catalytic subunits (SMARCA2 or SMARCA4), core subunits (SMARCC1 and SMARCD1), and regulatory subunits (ARID1A, PBRM1, and ACTB, etc.), which can control gene expression by regulating chromatin structure. The change of SWI/SNF complex subunits is one of the important factors of tumor drug resistance and progress. SMARCA4 and ARID1A are the most widely studied subunits in tumor drug resistance. Low expression of SMARCA4 can lead to the deletion of the transcription inhibitor of the BCL2L1 gene in mantle cell lymphoma, which will result in transcription up-regulation and significant resistance to the combination therapy of ibrutinib and venetoclax. Low expression of SMARCA4 and high expression of SMARCA2 can activate the FGFR1-pERK1/2 signaling pathway in ovarian high-grade serous carcinoma cells, which induces the overexpression of anti-apoptosis gene BCL2 and results in carboplatin resistance. SMARCA4 deletion can up-regulate epithelial-mesenchymal transition (EMT) by activating YAP1 gene expression in triple-negative breast cancer. It can also reduce the expression of Ca²⁺ channel IP3R3 in ovarian and lung cancer, resulting in the transfer of Ca²⁺ needed to induce apoptosis from endoplasmic reticulum to mitochondria damage. Thus, these two tumors are resistant to cisplatin. It has been found that verteporfin can overcome the drug resistance induced by SMARCA4 deletion. However, this inhibitor has not been applied in clinical practice. Therefore, it is a promising research direction to develop SWI/SNF ATPase targeted drugs with high oral bioavailability to treat patients with tumor resistance induced by low expression or deletion of SMARCA4. ARID1A deletion can activate the expression of ANXA1 protein in HER2+ breast cancer cells or down-regulate the expression of progesterone receptor B protein in endometrial cancer cells. The drug resistance of these two tumor cells to trastuzumab or progesterone is induced by activating AKT pathway. ARID1A deletion in ovarian cancer can increase the expression of MRP2 protein and make it resistant to carboplatin and paclitaxel. ARID1A deletion also can up-regulate the phosphorylation levels of EGFR, ErbB2, and RAF1 oncogene proteins.The ErbB and VEGF pathway are activated and EMT is increased. As a result, lung adenocarcinoma is resistant to epidermal growth factor receptor tyrosine kinase inhibitors (EGFR-TKIs). Although great progress has been made in the research on the mechanism of SWI/SNF complex inducing tumor drug resistance, most of the research is still at the protein level. It is necessary to comprehensively and deeply explore the detailed mechanism of drug resistance from gene, transcription, protein, and metabolite levels by using multi-omics techniques, which can provide sufficient theoretical basis for the diagnosis and treatment of poor tumor prognosis caused by mutation or abnormal expression of SWI/SNF subunits in clinical practice.

Objective: To explore the relationship of family function with sleep and externalizing problem behaviors of preschool children, so as to provide a guidance for externalizing problem prevention and intervention among preschool children. Methods: From October 2023 to January 2024, a convenience sampling method was used to select 5 138 preschool children from kindergartens in 8 districts of Wuhan City, Hubei Province. Parents completed the survey for Family Adaptability and Cohesion Scale, children s sleep habits and Child Behavior Checklist (CBCL). Spearman correlation analysis was used to examine the correlation of family function with scores of sleep quality and externalizing problem behaviors among preschool children. A mediation model analysis and bootstrap test were conducted to further investigate the mediating role of sleep quality between family function and externalizing problem behaviors. Mplus 8.7 software was used for latent profile analysis of family function. Results: The reported rates of poor sleep quality and externalizing problem behaviors among preschool children were 11.8% ( n =607), 20.0% ( n =1 026). The relevant analysis results showed that family function was negatively correlated with sleep quality and externalizing problem behaviors ( r = -0.20, -0.23), and sleep quality was positively correlated with externalizing problem behaviors ( r =0.27) ( P <0.01). The mediation effect test showed that family function negatively predicted externalizing problem behaviors ( β =-0.079) and sleep quality ( β = -0.075), while sleep quality positively predicted externalizing problem behaviors ( β =0.215) ( P <0.01). The latent profile analysis results showed that family function could be classified into 4 categories: high family function group (23.01%), upper middle family function group (44.65%), moderate family function group (26.24%) and low family function group (6.11%). Compared to high family function, the other three categories significantly positively predicted externalizing problem behaviors, and the mediating effects of sleep quality on different categories of family function were statistically significant [upper middle family function: mediation effect value was 0.022 (95% CI =0.004-0.041) and direct effect value was 0.329 (95% CI =0.263-0.396); middle family function: mediation effect value was 0.087 (95% CI =0.063-0.115) and direct effect value was 0.491 (95% CI =0.416-0.565); low family function: mediation effect value was 0.144 (95% CI =0.107-0.185) and direct effect 0.621 (95% CI =0.503-0.740)] ( P < 0.05 ). Conclusion Family function negatively predicts the externalizing problem behaviors of preschool children, and sleep quality plays a partial mediating role.

Objective: To explore the association between sleep quality, sleep duration with blood pressure in primary and secondary school students with different nutritional status, so as to provide a reference for targeted intervention measures. Methods: By using stratified cluster random sampling method, a total of 10 871 students aged 7 to 18 years were selected from 36 primary and secondary schools in 6 counties of Yangzhou from October to November 2023. Physical examination and questionnaire survey were conducted respectively. Student Health Status and Influencing Factors Questionnaire was used to collected basic information. The overweight/obesity and sleep quality of primary and secondary school students were determined according to the Screening for Overweight and Obesity among School age Children and Adolescents and the Pittsburgh Sleep Quality Index scale. The χ 2 test was used to compare the prevalence of elevated blood pressure in different groups of primary and secondary school students. Multivariate Logistic regression model was used to explore the association between sleep and blood pressure in primary and secondary school students. Results: The prevalence of elevated blood pressure among primary and secondary school students in Yangzhou was 13.86 %, higher among boys (15.13%) than girls (12.62%) ( χ 2=14.30, P <0.01). The elevated blood pressure rate of obese and overweight primary and secondary school students were 26.98% and 14.90%, respectively, higher than 8.71% of non overweight and obese children ( χ 2=482.58, P <0.01). There were statistically significant differences in elevated blood pressure rate among primary and secondary school students in different sleep quality and sleep duration ( χ 2= 8.45, 71.58, P <0.05). After controlling for gender, residence, educational stage, parental education, sedentary time, the results of multiple Logistic regression analysis showed that no correlation between sleep quality and elevated blood pressure under different nutritional status was found among primary and secondary school students. In primary and secondary school students with obesity, prevalence of elevated blood pressure was higher among those with sleep duration <8 and 8 to <9 h/d ( OR=1.54, 1.72, P <0.05). However, there was no significant association found in the other groups ( OR=1.04-1.28, P >0.05). In gender stratification, sleep duration < 8, 8 to <9 and 9 to <10 h/d of obese boys were positively correlated with elevated blood pressure ( OR=1.97, 2.09, 1.86, P <0.05). Conclusion Among obese primary and secondary school students, sleep duration <9 h/d is associated with an increased risk of elevated blood pressure, especially among obese boys.

Objective To investigate and analyze the occupational stress levels and influencing factors among radiation workers in China, and provide a reference for alleviating occupational stress and promoting mental health. Methods Using the general situation questionnaire, Effort-Reward Imbalance questionnaire, and radiation protection knowledge questionnaire, a convenience sampling method was adopted to investigate the occupational stress of 243 radiation workers in Liaoning, Fujian, Guangdong, and Xinjiang provinces. The independent samples t-test, one-way analysis of variance, chi-square test, and binary logistic regression were used to analyze the influencing factors. Results The average score of Effort-Reward Imbalance was 0.97 ± 0.22, and 100 (41.15%) radiation workers had occupational stress. There were significant differences in the detection rate of occupational stress among radiation workers of different ages, working years in radiation positions, monthly incomes, daily sleep durations, and daily working hours (P < 0.05). Logistic regression analysis identified daily working hours as a factor contributing to occupational stress. Conclusion The occupational stress among radiation workers in China is relatively severe. It is recommended to pay attention to the associated risks and implement targeted intervention measures to reduce the impact of occupational stress.

OBJECTIVE To provide medication reference for duloxetine use in clinical settings， particularly for patients with depression in primary medical institutions in Xinjiang that lack therapeutic drug monitoring conditions. METHODS The medical records of 281 depression inpatients taking duloxetine in the First Affiliated Hospital of Xinjiang Medical University from January 2022 to December 2023 were retrospectively collected. They were divided into training set （196 cases） and test set （85 cases） in the ratio of 7∶3. Feature selection was performed by encapsulating random forests （RF） with recursive feature elimination. Four machine learning algorithms， namely support vector machine， RF， extreme gradient boosting （XGBoost） and artificial neural network， were used to construct duloxetine blood concentration prediction model. The prediction performance of the models was evaluated and compared by coefficient of determination （R2）， mean absolute error （MAE） and root mean squared error （RMSE）. The feature of the selected optimal model was explained by Shapley additive explanation method， and the importance ranking of the features and the influence on the prediction results of duloxetine blood concentration were determined. RESULTS A total of 29 characteristic variables were selected， including age， ethnicity， body mass index（BMI）， etc. XGBoost showed the highest R2 （0.808）， and the lowest MAE （7.644） and RMSE （10.808）. The ranking of feature importance for predicting the blood concentration of duloxetine was as follows： BMI＞age＞other 20 feature sets （including liver and kidney function and biochemical indicators）＞daily dosage＞comorbidities＞combination therapy＞ethnicity＞white blood cell count＞hemoglobin＞height. CONCLUSIONS XGBoost model possesses the best prediction performance of duloxetine blood concentration； BMI and age have a greater impact on the prediction of duloxetine blood concentration.

ObjectiveTo investigate the improvement effect of Qibai Pingfei capsules on pulmonary vascular remodeling in rats at different stages of chronic obstructive pulmonary disease （COPD） and to analyze its possible mechanism of action. MethodsMale Sprague-Dawley （SD） rats were randomly divided into a normal group， an early COPD model group， an advanced COPD model group， an early-intervention high-dose group， a late-intervention high-dose group， an early-intervention low-dose group， a late-intervention low-dose group， an early-intervention pyrrolidine dithiocarbamate （PDTC） group， and a late-intervention PDTC group， with 15 rats in each group. A rat model of early COPD was constructed by using cigarette smoke combined with airway infusion using lipopolysaccharide（LPS）， and a rat model of advanced COPD was constructed by using airway infusion with LPS， cigarette smoke， and hypoxia. All groups except the normal group were given LPS airway drops on days 1 and 14 of the experiment， smoked for 1 h per day， and administered the drug once a day for 40 weeks from day 15 onward. In the high- and low-dose groups， rats were given 1 g·kg^-1 and 250 mg·kg^-1 Qibai Pingfei capsules， respectively by gavage， and in PDTC groups， rats were given 100 mg·kg^-1 of PDTC by intraperitoneal injection. The advanced COPD model group underwent 6 h of hypoxia per day in weeks 5-6. Lung function and mean pulmonary artery pressure were tested in rats. Morphologic changes in lung tissues were detected by hematoxylin-eosin（HE）staining. Collagen deposition in lung tissues was examined by Masson staining， and the levels of inflammatory factors including interleukin-1β（IL-1β）， interleukin-6（IL-6）， and tumor necrosis factor-α（TNF-α）in lung tissues were detected by enzyme-linked immunosorbent assay （ELISA）. The number of inflammatory cells in the alveolar lavage fluid of rats in each group was detected by Giemsa staining， and the protein expression of Toll-like receptor 4（TLR4）， myeloid differentiation factor 88（MyD88）， nuclear factor-κB（NF-κB）， TNF-α， vascular endothelial-cadherin（VE-cadherin）， α-smooth muscle actin（α-SMA）， and platelet endothelial cell adhesion molecule-1（CD31） was detected by Western blot in the lung tissues of rats. ResultsCompared with the normal group， the model group showed significantly decreased forced expiratory volume in 0.3 s （FEV_0.3）， forced vital capacity （FVC）， and FEV_0.3/FVC ratio related to lung function （P<0.05）， thickening of pulmonary vasculature， increased collagen deposition in the lungs， and enhanced mean pulmonary arterial pressure and expression levels of IL-6， IL-1β， and TNF-α （P<0.05）. Additionally， the model group also exhibited increased numbers of macrophages， lymphocytes， and neutrophils （P<0.05）， significantly higher protein expression of TLR4， MyD88， NF-κB， TNF-α， and α-SMA （P<0.05）， and significantly lower protein expression of VE-cadherin and CD31 （P<0.05）. Lung function was significantly improved in the Qibai Pingfei capsules groups compared with the model group （P<0.05）， with mean pulmonary arterial pressure reduced and pulmonary vascular thickening and collagen deposition in the lungs ameliorated. The Qibai Pingfei capsules groups also showed reduced expression levels of IL-6， IL-1β， and TNF-α （P<0.05） and decreased numbers of macrophages， lymphocytes， and neutrophils （P<0.05）， as well as reduced protein expression of TLR4， MyD88， NF-κB， TNF-α， and α-SMA （P<0.05） and elevated protein expression of VE-cadherin and CD31 （P<0.05） in rat lung tissues. ConclusionQibai Pingfei capsules inhibits inflammatory response and endothelial-to-mesenchymal transition probably by regulating the TLR4/NF-κB signaling pathway， thus improving pulmonary vascular remodeling in COPD model rats and showing therapeutic effects in the early stage of COPD.