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.

Objective: To investigate the current status of latent tuberculosis infection (LTBI) among freshmen in junior and senior high schools in Lanzhou, so as to provide scientific basis for improving the tuberculosis prevention and control strategy in schools. Methods: The screening results of 74 516 freshmen in senior and boarding junior high schools in Lanzhou during 2023 and 2024 were collected. The Chi square test and multivariate Logistic regression model were applied to analyze LTBI level, strongly positive risk for tuberculin skin test (TST) and related factors of the freshmen. Results: During 2023 and 2024, the screening rate of tuberculosis among freshmen in senior and boarding junior high schools in Lanzhou was 93.45%, of which the positive rate for TST was 5.71%, the infection rate for LTBI was 3.80%, and the strongly positive rate for TST was 1.24%. There were statistically significant differences in the screening rate of tuberculosis among freshmen in different years, grades, regions, school types and districts ( χ 2=5.34, 2 463.88, 3 516.13, 132.34, 4 436.56, all P <0.05). Multivariate Logistic regression analysis showed that senior high schools ( OR =1.62, 2.18) and urban areas ( OR =2.08, 3.07 ) were all related factors for LTBI and strong positivity for TST among freshmen; schools located in Xigu District, Honggu District, Yongdeng County, Yuzhong County, and Lanzhou New Area ( OR =3.57, 5.67, 9.12, 3.70, 3.64) were related factors of strong positivity for TST among freshmen (all P <0.05). Conclusions The LTBI level among freshmen in senior and boarding junior high schools in Lanzhou is relatively low. Grades and regions are related factors for LTBI and strong positivity for TST.

Objective:To investigate the inhibitory effect of astragaloside Ⅳ(AS-Ⅳ)on cisplatin(CDDP)-induced liver injury in the mice,and to elucidate its possible mechanism.Methods:Forty male C57BL/6 mice with body weights of 18-22 g were randomly divided into control group,model group,AS-Ⅳ group and adenosine 5'-monophosphate-activated protein kinase(AMPK)inhibitor(Compound C)+AS-Ⅳ group.The mice in control group and model group were gavaged with the same volume of normal saline,and the drug was administered continuously for 9 d.The mice in AS-Ⅳ group and Compound C+AS-Ⅳ group were given AS-Ⅳ aqueous solution(150 mg·kg-1·d-1),respectively.On the 6th day of experiment,the mice in Compound C+AS-Ⅳ group were intraperitoneally injected with Compound C(20 mg·kg-1),and on the 7th day,except for control group,the mice in other groups were intraperitoneally injected with 20 mg·kg-1 CDDP to establish the mouse liver injury models,and the mice were sacrificed 48 h later.Serum and liver tissues were collected,and the levels of aspartate aminotransferase(AST)and alanine aminotransferase(ALT)in the serum of the mice,as well as the activities of superoxide dismutase(SOD)and catalase(CAT)and the levels of malondialdehyde(MDA)in the liver tissue of the mice in various groups were detected by kits.The pathomorphology of liver tissue of the mice in various groups were detected by HE staining.The expression levels of glutathione peroxidase 4(GPX4),ferritin heavy chain 1(FTH1)and ferroptosis inhibitory protein 1(FSP1)proteins in liver tissue of the mice in various groups were detected by immunohistochemical staining,and the expression levels of nuclear factor-E2-related factor 2(Nrf2),heme oxygenase-1(HO-1)and AMPK proteins in liver tissue of the mice in various groups were detected by Western blotting method.Results:Compared with control group,the levels of AST and ALT in serum of the mice in model group were increased(P＜0.01),the activities of SOD and CAT in the liver tissue were significantly decreased(P＜0.01),and the MDA level was increased(P＜0.01);compared with model group,the levels of AST and ALT in serum of the mice in AS-Ⅳ group were decreased(P＜0.01),the MDA level in the liver tissue was decreased(P＜0.01),and the activities of SOD and CAT were increased(P＜0.01);compared with AS-Ⅳ group(P＜0.01),the levels of AST and ALT in serum of the mice in Compound C+AS-Ⅳ group were increased(P＜0.01),the level of MDA in liver tissue was increased(P＜0.05),and the activities SOD and CAT were decreased(P＜0.01).The HE staining results showed that compared with control group,the liver damage degree of the mice in model group was enhanced,the hepatocyte arrangement was disordered,and some hepatocyte edema were increased;compared with model group,the liver morphology of the mice in AS-Ⅳ group returned to normal;compared with AS-Ⅳ group,the hepatocyte arrangement of the mice in Compound C+AS-Ⅳ group was disordered and the edges were blurred.The immunohistochemistry results showed that compared with control group,the expression levels of GPX4,FTH1 and FSP1 proteins in liver tissue of the mice in model group were decreased(P＜0.05);compared with model group,the expression levels of GPX4,FTH1 and FSP1 proteins in liver tissue of the mice in AS-Ⅳ group were increased(P＜0.05);compared with AS-Ⅳ group,the expression levels of GPX4,FTH1 and FSP1 proteins in liver tissue of the mice in Compound C+AS-Ⅳ group were decreased(P＜0.05 or P＜0.01).The Western blotting results showed that compared with control group,the expression levels of Nrf2,HO-1 and AMPK proteins in liver tissue of the mice in model group were decreased(P＜0.01);compared with model group,the expression levels of Nrf2,HO-1 and AMPK proteins in liver tissue of the mice in AS-Ⅳgroup were increased(P＜0.01);compared with AS-Ⅳ group,the expression levels of Nrf2,HO-1 and AMPK proteins in liver tissue of the mice in Compound C+AS-Ⅳ group were decreased(P＜0.01).Conclusion:AS-Ⅳ can alleviate the CDDP-induced liver injury,and its mechanism may be related to the regulation of AMPK/Nrf2/HO-1 signal pathway and ferroptosis by AS-Ⅳ.

Objective To construct a usability scale for smart hospital platforms based on Quality of Experience(QoE)theory,and provide scientific measurement tool for the construction,operation,and improvement of smart hospitals.Method Literature review,focus meeting method,and pre survey were used to screen and revise the scale items,forming a formal scale.Using convenience sampling method,1 000 users from 8 smart hospital platforms in Shandong Province were selected as the research subjects to evaluate the reliability and validity of the scale.Result The availability scale of the smart hospital platform includes 6 dimensions and 24 items.Exploratory factor extraction identified 6 common factors,with a cumulative variance contribution rate of 64.045%.The overall Cronbach's with a coefficient of 0.941 for 6 dimensions.The coefficient is between 0.782 and 0.963,and the retest reliability is 0.967.The Average Standardized Content Validity Index is 0.972,and the Item-level Content Validity Index is between 0.86 and 1.00.The correlation coefficient between the six dimensions of the scale and the System Usability Scale is 0.606-0.653,and the overall correlation coefficient is 0.647.Conclusion The usability scale of the smart hospital platform developed based on QoE theory has good reliability and validity,and can be used to measure the user experience of the smart hospital platform.

Objective To construct a usability scale for smart hospital platforms based on Quality of Experience(QoE)theory,and provide scientific measurement tool for the construction,operation,and improvement of smart hospitals.Method Literature review,focus meeting method,and pre survey were used to screen and revise the scale items,forming a formal scale.Using convenience sampling method,1 000 users from 8 smart hospital platforms in Shandong Province were selected as the research subjects to evaluate the reliability and validity of the scale.Result The availability scale of the smart hospital platform includes 6 dimensions and 24 items.Exploratory factor extraction identified 6 common factors,with a cumulative variance contribution rate of 64.045%.The overall Cronbach's with a coefficient of 0.941 for 6 dimensions.The coefficient is between 0.782 and 0.963,and the retest reliability is 0.967.The Average Standardized Content Validity Index is 0.972,and the Item-level Content Validity Index is between 0.86 and 1.00.The correlation coefficient between the six dimensions of the scale and the System Usability Scale is 0.606-0.653,and the overall correlation coefficient is 0.647.Conclusion The usability scale of the smart hospital platform developed based on QoE theory has good reliability and validity,and can be used to measure the user experience of the smart hospital platform.

Objective To construct a usability scale for smart hospital platforms based on Quality of Experience(QoE)theory,and provide scientific measurement tool for the construction,operation,and improvement of smart hospitals.Method Literature review,focus meeting method,and pre survey were used to screen and revise the scale items,forming a formal scale.Using convenience sampling method,1 000 users from 8 smart hospital platforms in Shandong Province were selected as the research subjects to evaluate the reliability and validity of the scale.Result The availability scale of the smart hospital platform includes 6 dimensions and 24 items.Exploratory factor extraction identified 6 common factors,with a cumulative variance contribution rate of 64.045%.The overall Cronbach's with a coefficient of 0.941 for 6 dimensions.The coefficient is between 0.782 and 0.963,and the retest reliability is 0.967.The Average Standardized Content Validity Index is 0.972,and the Item-level Content Validity Index is between 0.86 and 1.00.The correlation coefficient between the six dimensions of the scale and the System Usability Scale is 0.606-0.653,and the overall correlation coefficient is 0.647.Conclusion The usability scale of the smart hospital platform developed based on QoE theory has good reliability and validity,and can be used to measure the user experience of the smart hospital platform.

Objective To construct a usability scale for smart hospital platforms based on Quality of Experience(QoE)theory,and provide scientific measurement tool for the construction,operation,and improvement of smart hospitals.Method Literature review,focus meeting method,and pre survey were used to screen and revise the scale items,forming a formal scale.Using convenience sampling method,1 000 users from 8 smart hospital platforms in Shandong Province were selected as the research subjects to evaluate the reliability and validity of the scale.Result The availability scale of the smart hospital platform includes 6 dimensions and 24 items.Exploratory factor extraction identified 6 common factors,with a cumulative variance contribution rate of 64.045%.The overall Cronbach's with a coefficient of 0.941 for 6 dimensions.The coefficient is between 0.782 and 0.963,and the retest reliability is 0.967.The Average Standardized Content Validity Index is 0.972,and the Item-level Content Validity Index is between 0.86 and 1.00.The correlation coefficient between the six dimensions of the scale and the System Usability Scale is 0.606-0.653,and the overall correlation coefficient is 0.647.Conclusion The usability scale of the smart hospital platform developed based on QoE theory has good reliability and validity,and can be used to measure the user experience of the smart hospital platform.

Objective To construct a usability scale for smart hospital platforms based on Quality of Experience(QoE)theory,and provide scientific measurement tool for the construction,operation,and improvement of smart hospitals.Method Literature review,focus meeting method,and pre survey were used to screen and revise the scale items,forming a formal scale.Using convenience sampling method,1 000 users from 8 smart hospital platforms in Shandong Province were selected as the research subjects to evaluate the reliability and validity of the scale.Result The availability scale of the smart hospital platform includes 6 dimensions and 24 items.Exploratory factor extraction identified 6 common factors,with a cumulative variance contribution rate of 64.045%.The overall Cronbach's with a coefficient of 0.941 for 6 dimensions.The coefficient is between 0.782 and 0.963,and the retest reliability is 0.967.The Average Standardized Content Validity Index is 0.972,and the Item-level Content Validity Index is between 0.86 and 1.00.The correlation coefficient between the six dimensions of the scale and the System Usability Scale is 0.606-0.653,and the overall correlation coefficient is 0.647.Conclusion The usability scale of the smart hospital platform developed based on QoE theory has good reliability and validity,and can be used to measure the user experience of the smart hospital platform.

Objective To construct a usability scale for smart hospital platforms based on Quality of Experience(QoE)theory,and provide scientific measurement tool for the construction,operation,and improvement of smart hospitals.Method Literature review,focus meeting method,and pre survey were used to screen and revise the scale items,forming a formal scale.Using convenience sampling method,1 000 users from 8 smart hospital platforms in Shandong Province were selected as the research subjects to evaluate the reliability and validity of the scale.Result The availability scale of the smart hospital platform includes 6 dimensions and 24 items.Exploratory factor extraction identified 6 common factors,with a cumulative variance contribution rate of 64.045%.The overall Cronbach's with a coefficient of 0.941 for 6 dimensions.The coefficient is between 0.782 and 0.963,and the retest reliability is 0.967.The Average Standardized Content Validity Index is 0.972,and the Item-level Content Validity Index is between 0.86 and 1.00.The correlation coefficient between the six dimensions of the scale and the System Usability Scale is 0.606-0.653,and the overall correlation coefficient is 0.647.Conclusion The usability scale of the smart hospital platform developed based on QoE theory has good reliability and validity,and can be used to measure the user experience of the smart hospital platform.

Objective To construct a usability scale for smart hospital platforms based on Quality of Experience(QoE)theory,and provide scientific measurement tool for the construction,operation,and improvement of smart hospitals.Method Literature review,focus meeting method,and pre survey were used to screen and revise the scale items,forming a formal scale.Using convenience sampling method,1 000 users from 8 smart hospital platforms in Shandong Province were selected as the research subjects to evaluate the reliability and validity of the scale.Result The availability scale of the smart hospital platform includes 6 dimensions and 24 items.Exploratory factor extraction identified 6 common factors,with a cumulative variance contribution rate of 64.045%.The overall Cronbach's with a coefficient of 0.941 for 6 dimensions.The coefficient is between 0.782 and 0.963,and the retest reliability is 0.967.The Average Standardized Content Validity Index is 0.972,and the Item-level Content Validity Index is between 0.86 and 1.00.The correlation coefficient between the six dimensions of the scale and the System Usability Scale is 0.606-0.653,and the overall correlation coefficient is 0.647.Conclusion The usability scale of the smart hospital platform developed based on QoE theory has good reliability and validity,and can be used to measure the user experience of the smart hospital platform.