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 comprehensively evaluate the quality of adverse drug reaction （ADR） reports in clinical departments or ward （hereinafter referred to as “department”） based on game theory combinatorial weighting-technique for order preference by similarity to ideal solution （TOPSIS）-rank-sum ratio （RSR） method， providing a reference for the further standardization of ADR reporting. METHODS Based on relevant documents and scoring criteria， the ADR report quality evaluation standards previously developed by our team were modified. Using game theory principles， the fusion of subjective and objective weights for each indicator was determined. A game theory combinatorial weighting-TOPSIS-RSR model was developed to evaluate and categorize the quality of raw ADR reports submitted by departments to the pharmacy department at Bozhou Hospital of Anhui Medical University. RESULTS A total of 222 ADR reports from 23 departments were included. The game theory combinatorial weighting method identifies weak points in management， such as ADR symptoms and signs， the description of underlying diseases， timing of ADR， by optimizing the weightings of the indicators. The TOPSIS-RSR method calculates that the mean relative closeness of the departments was 0.401 7， indicating that the overall report quality ranged from moderate to substandard. 20095） Three departments， including neurosurgery， demonstrated medium reporting quality [estinate closeness （Ĉ）i ≥0.506]， while two departments， such as the respiratory department，were rated as unqualified （Ĉi＜0.278）. The remaining departments were all deemed qualified （0.278≤ Ĉi＜0.506）. CONCLUSIONS The developed game theory combinatorial weighting-TOPSIS-RSR method provides an effective approach for the quality evaluation of ADR reports， which not only balances subjective and objective weights but also facilitates comparisons among different departments. There is still room for improvement in the ADR report quality at the hospital.

Objective: To investigate the potential mechanisms of Xanthatin in inhibiting the proliferation of laryngeal squamous cell carcinoma(LSCC) cells by integrating network pharmacology and in vitro experiments. Methods: The targets of Xanthatin were identified using databases such as PharmMapper, while disease-related targets for LSCC were obtained from databases such as DisGeNET. The overlapping targets between Xanthatin and LSCC were determined by intersecting these datasets. A protein-protein interaction(PPI) network was constructed based on the overlapping targets, and key targets were identified. Gene ontology(GO) and Kyoto encyclopedia of genes and genomes(KEGG) enrichment analyses of the overlapping targets were performed using R software. A "Xanthatin-target-pathway" network was visualized using Cytoscape 3.8.0 software. The preliminary validation of the aforementioned results was performed using molecular docking and transcriptomics. The effects of Xanthatin on the proliferation of TU177 cells were assessed using CCK-8 and colony formation assays. Additionally, Western blot analysis was employed to measure the expression levels of PI3K, p-PI3K, Akt, and p-Akt proteins. Results: A total of 159 overlapping targets between Xanthatin and LSCC were identified, and seven key targets, including AKT1, were screened. GO enrichment analysis yielded 2 455 entries, and KEGG enrichment analysis identified 172 pathways, such as the PI3K-Akt signaling pathway. Xanthatin exhibited favorable binding activity with the core target proteins of LSCC in molecular docking experiments. The transcriptomics results showed high consistency with the predictions from network pharmacology. CCK-8 and colony formation assays demonstrated that Xanthatin at concentrations of 1, 2, and 4 μmol/L significantly inhibited the proliferation of TU177 cells in a dose-dependent manner. The expression levels of p-PI3K and p-Akt proteins decreased with increasing concentrations of Xanthatin. Conclusion Xanthatin may exert an inhibitory effect on the proliferation of LSCC cells by modulating the PI3K-Akt signaling pathway.

OBJECTIVE To evaluate the cost-effectiveness of bevacizumab combined with erlotinib in the first-line treatment of advanced EGFR mutant non-squamous non-small cell lung cancer （NSCLC） from the perspective of China’s health system. METHODS A dynamic Markov model was established based on BEVERLY study data， with a cycle of 3 weeks， a research deadline until 99% of patients die， and an annual discount rate of 5%. The model outputs were total cost， quality-adjusted life year （QALY）， and incremental cost-effectiveness ratio （ICER）. Taking 3 times China’s per capita gross domestic product （GDP） in 2023 as the willingness-to-pay （WTP） threshold， the cost-utility analysis was used to evaluate the cost-effectiveness of bevacizumab combined with erlotinib （observation group） versus erlotinib alone （control group） in the first-line treatment of advanced EGFR mutant non-squamous NSCLC， and the single factor sensitivity analysis and probability sensitivity analysis were used to verify the robustness of the basic analysis results. RESULTS The results of the basic analysis showed that compared with the erlotinib therapy plan， ICER of bevacizumab combined with erlotinib was 1 452 243.01 yuan/QALY， which was more than 3 times China’s per capita GDP in 2023 （268 074 yuan/QALY） as the WTP threshold， indicating that bevacizumab combined with erlotinib was not cost-effective. The results of single factor sensitivity analysis showed that the cost of bevacizumab， the utility value of progression-free survival and progressed disease status had a great influence on the results. The results of probability sensitivity analysis showed that when the WTP threshold was 1 740 000 yuan/QALY， the probability of cost-effective of bevacizumab combined with erlotinib plan was 50%. CONCLUSIONS Compared with erlotinib alone， bevacizumab combined with erlotinib is not cost-effective in the first-line treatment of advanced EGFR mutant non-squamous NSCLC， when using 3 times China’s per capita GDP in 2023 as the WTP threshold.

OBJECTIVE To evaluate the cost-effectiveness of bevacizumab combined with erlotinib in the first-line treatment of advanced EGFR mutant non-squamous non-small cell lung cancer （NSCLC） from the perspective of China’s health system. METHODS A dynamic Markov model was established based on BEVERLY study data， with a cycle of 3 weeks， a research deadline until 99% of patients die， and an annual discount rate of 5%. The model outputs were total cost， quality-adjusted life year （QALY）， and incremental cost-effectiveness ratio （ICER）. Taking 3 times China’s per capita gross domestic product （GDP） in 2023 as the willingness-to-pay （WTP） threshold， the cost-utility analysis was used to evaluate the cost-effectiveness of bevacizumab combined with erlotinib （observation group） versus erlotinib alone （control group） in the first-line treatment of advanced EGFR mutant non-squamous NSCLC， and the single factor sensitivity analysis and probability sensitivity analysis were used to verify the robustness of the basic analysis results. RESULTS The results of the basic analysis showed that compared with the erlotinib therapy plan， ICER of bevacizumab combined with erlotinib was 1 452 243.01 yuan/QALY， which was more than 3 times China’s per capita GDP in 2023 （268 074 yuan/QALY） as the WTP threshold， indicating that bevacizumab combined with erlotinib was not cost-effective. The results of single factor sensitivity analysis showed that the cost of bevacizumab， the utility value of progression-free survival and progressed disease status had a great influence on the results. The results of probability sensitivity analysis showed that when the WTP threshold was 1 740 000 yuan/QALY， the probability of cost-effective of bevacizumab combined with erlotinib plan was 50%. CONCLUSIONS Compared with erlotinib alone， bevacizumab combined with erlotinib is not cost-effective in the first-line treatment of advanced EGFR mutant non-squamous NSCLC， when using 3 times China’s per capita GDP in 2023 as the WTP threshold.

Objective To evaluate the predictive ability and influencing factors of individualized drug administration adjuvant decision-making system Java PK? for Desktop(JPKD)for tacrolimus blood concentration in kidney transplant recipients.Methods The monitoring data of tacrolimus blood concentration from 149 recipients early after kidney transplantation were collected.The trough blood concentration of tacrolimus was predicted by JPKD.The absolute weighted deviation and relative prediction deviation between the actual and predicted concentration were calculated.The influencing factors of the absolute weighted deviation were analyzed by univariate and multivariate logistic regression analyses,and the predictive values of these influencing factors on the accuracy of software prediction were assessed by delineating the receiver operating characteristic(ROC)curve.Results Two hundred and sixty-six samples of tacrolimus blood concentration data were collected from 149 patients.The measured blood concentration of tacrolimus was(6.5±3.0)ng/mL(1.1-16.6 ng/mL),and the predicted value calculated by JPKD was(5.6±2.5)ng/mL(1.4-14.4 ng/mL).The absolute weighted deviation of the calculated data was 28.38％,and the relative prediction deviation was-13.55％.Univariate analysis showed that gender,albumin,changes in hematocrit,cytochrome P450(CYP)3A5*3 genotype and C3435T genotype were associated with the inaccurate prediction results.Multivariate logistic regression analysis found that CYP3A5*3 genotype of AA and the changes in hematocrit were the independent risk factors affecting the accuracy of tacrolimus blood concentration predicted by JPKD.ROC curve analysis showed that when the changes in hematocrit exceeded 2.25％,the risk of inaccurate software prediction was increased.Conclusions JPKD possesses certain accuracy in predicting the blood concentration of tacrolimus in kidney transplant recipients,which may improve the qualified rate of tacrolimus blood concentration.Nevertheless,CYP3A5*3 genotype and the changes of hematocrit may affect the accuracy of predictions.

To improve patient-centered pharmaceutical management and pharmaceutical service capabilities in the pharmaceutical department of medical institutions,automation and information technology are indispensable.The Pharmacy Administration-Automation and Information Technology is one of the social organization standards of the Chinese Hospital Association as part 4-4 of Pharmaceutical Administration and Pharmaceutical Practice in Healthcare,which standardizes 32 key elements in four aspects:basic requirements for automation construction in medical institutions,construction of automation hardware equipment,construction of intelligent information platform,and quality management and continuous improvement.It can be used to guide medical institutions at all levels to select and optimize pharmacy automation equipment and information platforms.This article introduced the construction methods and contents of the pharmacy automation and information technology standards,to deepen the understanding of peers on this standard and promote its implementation.This article aimed to promote the modernization,informatization,and intelligence of pharmaceutical services in medical institutions,and improve the quality and efficiency of overall medical pharmaceutical administration and service.

Objective From the perspective of China's health system,evaluate the cost-effectiveness of furmonertinib compared to gefitinib in first-line monotherapy for EGFR mutation-positive advanced non-small cell lung cancer.Methods Based on the FURLONG study of phase Ⅲ clinical trials,a three-state partitioned survival model was constructed and combined with parameters such as treatment cost,utility value,the incidence of adverse reactions,and discount rate;the total incremental cost-effectiveness ratio(ICER)was simulated.Then,the ICER value was compared with the willingness to pay(WTP)value to determine the economic feasibility of furmonertinib compared to gefitinib as a first-line treatment for EGFR mutation-positive advanced non-small cell lung cancer.Results The basic analysis results show that the treatment group with furmonertinib incurred an additional cost of 85 786 yuan compared to the treatment group with gefitinib,but obtained an additional 0.62 QALYs,with an incremental cost-effectiveness ratio of 138 306 yuan,which is less than three times China's per capita GDP.One-way sensitivity analysis shows that the best support treatment cost,PFS utility value,and PD utility value significantly impact the ICER results.The results of probability sensitivity analysis show that when the WTP is three times China's per capita GDP,the probability of economic viability of the furmonertinib group compared to the gefitinib group is 100.0%.The scenario analysis results verified the robustness of the underlying analysis results.Conclusion Under the willingness to pay threshold of three times China's per capita GDP in 2022,Choosing furmonertinib as a first-line monotherapy for EGFR mutation-positive advanced non-small cell lung cancer is more cost-effective than gefitinib.

OBJECTIVE To compare the efficacy and safety of icotinib and gefitinib in the treatment of epidermal growth factor receptor （EGFR）-mutated advanced non-small cell lung cancer （NSCLC）. METHODS The data of 146 patients with EGFR- mutant advanced NSCLC of our Hospital from December 2015 to September 2021 were retrospectively analyzed and divided into the gefitinib group （73 cases） and the icotinib group （73 cases） according to the drug use. Patients in the gefitinib group were given 0.25 g of gefitinib tablets once a day orally by single drug or combined with conventional chemotherapy， while patients in the icotinib group were given 125 mg of icotinib hydrochloride tablets three times a day orally by single drug or combined with conventional chemotherapy. Short-term efficacy， progression-free survival （PFS） were observed； Cox regression model was used to analyze the factors affecting the prognosis of patients； the occurrence of ADR were observed in the two groups. RESULTS There was no statistically significant difference in the objective remission rate， disease control rate， and the incidence of grade 1-2 and grade 3-4 adverse drug reactions between the two groups （P＞0.05）； median PFS was significantly better in the icotinib group than in the gefitinib group （P＝0.048）. Results of subgroup analysis based on patients basic information showed that compared with the gefitinib group， PFS of female [HR＝0.57，95%CI（0.34，0.96），P＝0.031] and non-brain metastatic patients [HR＝0.58，95%CI（0.36，0.91），P＝0.017] in icotinib group were prolonged significantly. Results of regression model analysis showed that EGFR19 exon Del mutation [HR＝0.50， 95%CI（0.25，1.00）， P＝0.049]， EGFR21 exon L858R mutation [HR＝0.44， 95%CI（0.21，0.89）， P＝0.022] and icotinib treatment [HR＝0.65， 95%CI （0.44，0.96）， P＝0.030] were influential factors for prognosis. CONCLUSIONS The short-term efficacy and safety of icotinib and gefitinib in the treatment of EGFR- mutant advanced NSCLC are comparable， but icotinib can significantly prolong the patients’ PFS； EGFR19 exon Del， EGFR21 exon L858R mutations and icotinib treatment are factors affecting patients’ prognosis.

OBJECTIVE To evaluate the cost-effectiveness of regorafenib in the treatment of hepatocellular carcinoma after failure of sorafenib from the perspective of Chinese health system. METHODS Based on a phase Ⅲ trial（RESORCE）， the partition survival model （PSM） and Markov model were constructed. The cycle was set as four weeks， the duration of the study lasted for lifetime， the annual discount rate was 5%. Drug cost data was obtained from yaozhi.com， other cost data were obtained from Anhui Provincial Medical Insurance Bureau and related literature， and utility values were obtained from literature. The incremental cost-effectiveness ratio （ICER） was used as the evaluation index， and the value of willingness to pay （WTP） was three times of China’s gross domestic product （GDP） per capita in 2022； one-way sensitivity analysis and probabilistic sensitivity analysis were used to verify the robustness of the basic analysis results. RESULTS The incremental cost of regorafenib group versus placebo group in PSM and Markov model was 112 116.95 yuan and 96 617.19 yuan， respectively. The incremental effectiveness was 0.31 QALYs and 0.32 QALYs， respectively. The ICERs were 360 751.01 yuan/QALY and 301 114.45 yuan/QALY， which were both greater than the value of WTP； regorafenib was not cost-effective. Results of one-way sensitivity analysis showed that the utility of progression-free survival and progressive disease， the unit cost of regorafenib had the greatest influence on the results， but ICER was always greater than the WTP within the floating range of each parameter. Under the WTP of 3 times China’s per capita GDP in 2022， the probabilities of regorafenib with cost-effectiveness were 0.8% （PSM） and 11.4% （Markov）. CONCLUSIONS Under the WTP of 3 times the per capita GDP of China， regorafenib is not cost-effective in the treatment of hepatocellular carcinoma after failure of sorafenib treatment， compared with placebo.