OBJECTIVE To investigate a dynamic monitoring of drug consumption （DMDC） model based on the seasonal Mann-Kendall trend test， aiming to provide scientific evidence for the efficient and macroscopic monitoring of drug use. METHODS A monitoring list of key outpatient drugs was established based on the top 20% of drugs ranked by sales volume in the outpatient pharmacy in October 2024. A DMDC model based on the Mann-Kendall trend test was constructed using the monthly usage data of key outpatient drugs from November 2021 to October 2024， aiming to eliminate the impact of seasonal fluctuations and analyze the temporal trends in drug consumption. Taking mucolytic expectorants， triazole derivatives for dermatophytosis， and single-agent hydroxymethylglutaryl coenzyme A （HMG-CoA） reductase inhibitors as examples， the monitoring effectiveness of the DMDC model was demonstrated， and its performance was compared with that achieved by the traditional sequential growth rate ranking method. RESULTS A total of 215 drug varieties were included in the monitoring list， and DMDC models were successfully established for all of them. Among these， 119 showed a significant increasing trend （P＜0.05， S′＞0）. The model successfully monitored the monthly consumption of mucolytic expectorants， triazole derivatives for dermatophytosis， and single- agent HMG-CoA reductase inhibitors. The precision and recall rates of the DMDC model for identifying abnormal drug use were 60.7% and 85.0%， respectively， both significantly higher than those of the sequential growth rate ranking method （8.3% and 15.0%， respectively） （χ2＝20.114， P＜0.001； χ2＝19.600， P＜0.001）. CONCLUSIONS DMDC model based on the seasonal Mann-Kendall trend test can effectively identify long-term trends in drug consumption， eliminate seasonal interference， enhance monitoring accuracy and management efficiency， and is suitable for the dynamic monitoring of drug consumption.

OBJECTIVE To provide scientific evidence and practical references for refined antimicrobial stewardship in multi- branch medical institutions. METHODS Data of antibiotic use density （AUD） of inpatients as well as physician-level case mix index （CMI） were collected from the Liji Road main campus and Panlongcheng branch campus of our hospital from August 2023 to March 2026. The two-factor decomposition method was adopted to decompose total AUD variation into a level effect and structural effect. Grey relational analysis （GRA） was performed to quantify the correlation degree between ward CMI， physician CMI and physician AUD， so as to identify wards and physicians requiring targeted key intervention in different campuses. A refined antimicrobial management framework for multi-branch hospitals was constructed and implemented based on the above analytical results. An interrupted time series （ITS） model incorporating seasonal dummy variables was applied. The research period was divided into pre-intervention stage （August 2023 to March 2024） and post-intervention stage （April 2024 to March 2026）. The temporal changing trends of AUD in two campuses were compared to evaluate management efficacy. RESULTS Driving factors for AUD variation presented significant heterogeneity between the two campuses. AUD variation in the main campus was dominated by level effect， while AUD variation in the branch campus was jointly affected by structural effect and level effect. The grey relational degrees of ward CMI and physician CMI with physician AUD were 0.901 and 0.882， respectively. After refined management implementation， AUD decreased by 7.48 DDDs/（100 bed·days） and 20.54 DDDs/（100 bed·days） in the main campus and branch campus， respectively； the rising trends of AUD in both campuses reversed to declining trends after intervention. CONCLUSIONS Driving factors of AUD variation under the multi-branch hospital model show obvious inter-campus heterogeneity. CMI is highly correlated with AUD. The refined management system developed via AUD attribution decomposition and CMI correlation analysis matches the differentiated clinical characteristics of multi- branch hospitals and effectively improves the precision of antimicrobial stewardship.

OBJECTIVE To provide empirical basis for promoting the dynamic adjustment of the pharmaceutical care catalogue and the formulation of policies such as hierarchical payment of medical insurance. METHODS A multicenter cross- sectional survey method was adopted to conduct a questionnaire survey among 424 inpatients in 22 tertiary medical institutions in 12 prefecture-level cities of Hubei Province to evaluate their demand for pharmaceutical care， willingness to pay and preference for service forms. Combined with univariate and multivariate Logistic regression analysis， the influencing factors and key factors that affect patients’ willingness to pay for pharmaceutical care were identified. RESULTS Only 39.86% of the patients were aware of pharmaceutical care or pharmacists， and 89.62% of the patients hope to receive pharmaceutical care. Among the 16 types of pharmaceutical care， the patients surveyed had a relatively high recognition rate for guidance on drug usage and dosage， notification of medication precautions， and the identification， prevention and handling of adverse drug reactions. 96.70%， 95.30%， and 94.12% respectively expressed strong approval and approval. The demand for services such as insurance-related policy consultation， popular science on the mechanism of drug action， and assessment of the combined use of traditional Chinese and Western medicines was relatively low， with 61.65%， 68.47%， and 68.47% expressing strong approval and approval respectively. The positive influencing factors of willingness to pay were household monthly income ＞ 5 000 yuan （OR＝1.742）， awareness of pharmaceutical care or pharmacists （OR＝3.620）， and the desire to receive pharmaceutical care （OR＝4.686） （P＜0.05）， while self-rating health as “good” （OR＝0.390） was a negative influencing factor （P＜0.05）. Cardiovascular and cerebrovascular diseases （54.48%） and antihypertensive drugs （45.05%） were the service scenarios that the surveyed patients most hope to be covered. 85.14% of the patients preferred “service when xiaochnye@126.com needed”， with a single service duration of less than 10 minutes being appropriate （84.43%）， and the willingness to pay within 20 yuan being the main type （85.38%）. CONCLUSIONS Based on the characteristics of patients’ needs and payment behaviors， it is suggested that our country could consider establishing a hierarchical payment mechanism for pharmaceutical care， and focus on differentiated design in combination with diseases and medication situations. At the same time， the rights， responsibilities and service standards of resident pharmacists in the links such as medication reorganization and medical order review should be further clarified to comprehensively enhance the clinical value and policy operability of pharmaceutical care.

Immune checkpoint blockade therapy has demonstrated remarkable efficacy in treating various malignancies; however, its clinical application remains challenged by low response rates and immune-related adverse events. Immunoglobulin superfamily member 11 (IGSF11), an inhibitory immune checkpoint molecule, serves as a specific ligand for the V-domain immunoglobulin suppressor of T cell activation (VISTA). Through the IGSF11/VISTA axis, it suppresses T cell function and represents a promising novel target for cancer immunotherapy. IGSF11 is widely expressed across multiple tumor types, though its regulatory mechanisms vary depending on the malignancy. Studies have confirmed that blocking the IGSF11-VISTA interaction or specifically inhibiting IGSF11 exerts antitumor effects. While IGSF11 is closely associated with patient prognosis, its prognostic significance differs among cancer types. This review systematically summarizes the structural characteristics of IGSF11, its regulatory mechanisms, interaction with VISTA, and functional role within the tumor microenvironment.
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Humans ; Immunotherapy ; Neoplasms/metabolism* ; B7 Antigens/chemistry* ; Animals ; Molecular Targeted Therapy ; Tumor Microenvironment

Objective To explore the predictive value of the preoperative C-reactive protein-albumin-lymphocyte ratio(CALLY index)for short-term prognosis in patients undergoing radical gastrectomy.Methods The clinical data of 228 gastric cancer patients who underwent radical gastrectomy were retrospectively analyzed.Based on follow-up results,patients were divided into the good prognosis group(n=205)and the poor prognosis group(n=23).The differences in clinical characteristics and laboratory test results between the two groups were compared.Cox proportional hazards regression model was used to analyze the impact of CALLY index on poor prognosis in patients.The receiver operating characteristic(ROC)curve was used to determine the clinical value and optimal cutoff value of CALLY index in predicting poor prognosis of patients.Kaplan-Meier method was used to analyze the difference in disease-free survival(DFS)between patients with different CALLY index levels.Results After a follow-up of 3 to 53 months(median follow-up of 36 months),23 patients developed poor prognosis(including 3 deaths and 20 recurrences or metastases).Compared with the good prognosis group,tumors in the poor prognosis group were larger,the proportion of poorly differentiated tumors was higher and white blood cell count(WBC),neutrophil count(NEU),C-reactive protein(CRP)were higher,and lymphocyte(LYM),albumin(ALB),prealbumin,total cholesterol(TC)and CALLY indexl were lower.Multivariate Cox regression analysis showed that the elevated CALLY index(HR=0.306,95%CI:0.102-0.921,P=0.035)was an independent protective factor for poor prognosis,while larger tumors and poorly differentiated tumors were independent risk factors for poor prognosis.ROC curve analysis showed that the area under the curve for predicting poor prognosis in gastric cancer patients undergoing radical gastrectomy was 0.862(95%CI:0.810-0.904),with a sensitivity of 95.65%,specificity of 69.76%,and an optimal cutoff value of 2.21.Kaplan-Meier analysis showed that patients with a CALLY index>2.21 had a longer disease-free survival than those with a CALLY index≤2.21(mean DFS:48 months vs.42 months,Log-rank χ2=4.123,P=0.042).Conclusion The preoperative CALLY index is a simple,effective and easily accessible predictor for predicting short-term prognosis in patients undergoing radical gastrectomy.A high CALLY index indicates a better prognosis of patient.

Objective:To investigate the clinical characteristics and independent risk factors of severe disease in patients with anti-nuclear matrix protein (NXP) 2 antibody-positive juvenile dermatomyositis (JDM).Methods:A retrospective cohort study was conducted, including 219 anti-NXP2 antibody-positive JDM patients admitted to 23 children′s hospitals across China from July 2011 to July 2023. Patients were classified into severe and non-severe groups based on classification criteria for severe dermatomyositis. Demographic characteristics, clinical manifestations, and laboratory parameters were compared between the 2 groups using independent sample t-test, Mann-Whitney U test, or χ2 test. Univariate and multivariate Logistic regression analyses were performed to identify risk factors for severe disease. The receiver operating characteristic curve was employed to calculate optimal cut-off values. Results:Among the 219 patients, 108 were male and 111 were female, with an age at onset of 6.3 (3.5, 9.4) years. The severe group comprised 69 patients, and the non-severe group 150 patients. The severe group had significantly higher rates of fever, heliotrope rash, subcutaneous edema, periorbital edema, anti-Ro52 antibody positivity, as well as elevated levels of ferritin-to-albumin ratio (FAR), creatine kinase (CK), aspartate aminotransferase (AST), and lactate dehydrogenase (LDH) (all P<0.05). Multivariate analysis identified anti-Ro52 antibody positivity ( OR=13.26, 95% CI 1.37-128.29) and elevated FAR ( OR=1.90, 95% CI 1.09-2.31) as independent risk factors for severe anti-NXP2 antibody-positive JDM (both P<0.05). Receiver operating characteristic curve analysis revealed that a FAR cutoff value of 6.82 predicted severe disease with an area under the curve of 0.87 (95% CI 0.81-0.94, P<0.001), sensitivity of 0.85, and specificity of 0.70. All patients received glucocorticoid therapy, and the severe group received higher proportions of steroid pulse therapy, cyclophosphamide, mycophenolate mofetil, intravenous immunoglobulin, biologics, and adjuvant treatments compared to the non-severe group (all P<0.05). In terms of outcomes, 2 patients (2.9%) in the severe group died (due to neurological involvement and intestinal perforation, respectively), while the remaining patients achieved complete clinical response or remission. All patients in the non-severe group achieved remission. Conclusions:The primary clinical features of anti-NXP2 antibody-positive JDM included fever, heliotrope rash, subcutaneous edema, periorbital edema, anti-Ro52 antibody positivity, and elevated levels of CK, AST, LDH, and FAR. Furthermore, anti-Ro52 antibody positivity and a FAR>6.82 were identified as independent risk factors.

Objective To investigate if Shikonin(SKI)can induce ferroptosis via the ROS/JNK pathway to inhibit the malignant behavior of pancreatic cancer.Methods Human pancreatic cancer PANC-1 or BxPC-3 cells were selected.Drug efficacy experiments were established with a blank control group(Con group)and low,medium,and high dose SKI groups(2,4,8 μmol/L).JNK-related mechanism experiments were categorized into a blank control group(Con group),SKI group,and SKI+JNK inhibitor group(SKI+SP600125 group).ROS-related mechanism experiments were divided into a blank control group(Con group),SKI group,and SKI+ROS scavenger group(SKI+NAC group).Cell viability was assessed using the CCK-8 method to calculate IC50;Transwell experiments evaluated cell migration and invasion capabilities;the C11 BODIPY 581/591 probe was utilized for flow cytometry to detect lipid peroxidation levels,while the FerroOrange fluorescent probe measured ferrous ion levels;ROS levels were determined using a ROS detection kit;the Western blot method identified ferroptosis-related key proteins(SLC7A11,GPX4),apoptosis-related proteins(Caspase3,PARP),and JNK pathway proteins(JNK,p-JNK);an in vivo xenograft tumor model was employed to assess tumor proliferation.Results SKI treatment significantly and dose-dependently inhibited PANC-1 cell viability(IC50:6.04 μmol/L,P<0.0001)and BxPC-3 cell viability(IC50:12.27 μmol/L,P<0.0001),and significantly reduced migrating and invasive cell numbers(P<0.0001),with migration cell numbers dropping to about 30%of the control group at 8 μmol/L SKI treatment(P<0.0001).Mechanistically,SKI induced increased intracellular lipid peroxidation,Fe2+accumulation,and significant ROS production(P<0.0001),significantly downregulated SLC7A11 and GPX4 protein expression(GPX4 protein expression reduced to 40%of that in the control group,P<0.0001),and activated JNK phosphorylation(p-JNK/JNK ratio increased to 2.8-fold,P<0.0001).Pretreatment with the JNK-specific inhibitor SP600125 or ROS scavenger NAC effectively reversed SKI's inhibition of cell viability and downregulation of SLC7A11/GPX4 protein(all P<0.01).SKI also inhibited pancreatic cancer tumor cell proliferation in vivo(P<0.0001).Conclusion SKI induces ferroptosis by activating the ROS/JNK pathway,thereby inhibiting pancreatic cancer proliferation,migration,and invasion.

Objective:To evaluate the long-term oncological outcomes of partial nephrectomy(PN)in patients with renal cell carcinoma(RCC)who were clinically staged as clinical T1(cT1)preoperatively but upstaged to pathological T3a(pT3a)after surgery.Methods:A total of 427 RCC patients postopera-tively diagnosed as pT3aN0M0 at Peking University Third Hospital from February 2013 to December 2022 were retrospectively reviewed.Among them,33 cT1 patients upstaged to pT3a RCC received PN(PN group),while 394 non-upstaged pT3a RCC patients underwent radical nephrectomy(RN,RN group).Propensity score matching was performed at a 1∶1 ratio based on baseline characteristics.The Kaplan-Meier method was used to assess overall survival(OS),cancer-specific survival(CSS),and disease-free survival(DFS),with Log-rank tests and Cox regression models for multivariate analysis.Results:Before matching,the PN group(n=33)had significantly higher rates of perirenal fat invasion(PFI,45.5％vs.15.2％)and segmental renal vein involvement(42.4％vs.20.8％),but lower rates of renal sinus invasion(RSI,21.2％vs.73.6％)and renal vein tumor thrombus(0％vs.15.2％)compared with the RN group(n=394,all P＜0.05).After matching,baseline characteristics were comparable between the PN group(n=33)and RN group(n=33).No significant differences were observed in operative time,blood loss,mean hospital stay,complication rate,positive margin rate,or conversion to open surgery between the two groups(P＞0.05).However,the PN group showed significantly higher estimated glomerular filtration rate(eGFR)postoperatively[76.9(55.4,87.3)mL/(min·1.73 m2)vs.61.7(56.8,73.5)mL/(min·1.73 m2),P＜0.05],indicating better renal function preserva-tion.No significant differences were found in OS,CSS,or DFS between the groups(P＞0.05).Multi-variate ana-lysis identified renal vein invasion(RVI),higher Fuhrman grades(Ⅲ-Ⅳ),and sarcoma-toid differentiation as independent risk factors for DFS and CSS in the pT3a RCC patients(P＜0.05).Conclusion:For cT1 RCC patients upstaged to pT3a,PN preserves renal function more effectively while achieving com-parable oncological outcomes to RN.RVI,higher Fuhrmann grade,and sarcomatoid differentiation are independent risk factors for pT3N0M0 RCC patients.

Medication reconciliation plays a key role in improving patient medication safety,reducing inappropriate polypharmacy,and promoting the high-quality development of pharmaceutical services.Compared to advanced international guidelines,China's medication reconciliation service standards have deficiencies in areas such as definition and process design,and multidisciplinary team building.There is a need to establish a comprehensive medication reconciliation effect evaluation index system,develop pharmacist-led multidisciplinary teams,promote the advancement of artificial intelligence and big data technologies,and strengthen outpatient and community medication reconciliation coverage,thereby contributing to the high-quality development of pharmaceutical services in China.

Objective:To analyze the correlation and predictive value of obesity measurement indicators and cerebrovascular function scores in healthy physical examination population.Methods:It was a cross-sectional analysis that employed a simple random sampling method to select 3 496 individuals who underwent healthy physical examinations and cerebrovascular function tests at the Physical Examination Center of the Affiliated Hospital of Guizhou Medical University from January to December 2022. The general information, physical examination data, biochemical examination results, human component analyses, and cerebrovascular function integral data were collected. Based on cerebrovascular function scores, the participants were divided into high-risk group (0-24 points, 70 cases), medium-risk group (25-49 points, 317 cases), low-risk group (50-74 points, 787 cases), and normal group (≥75 points, 2 322 cases). Spearman correlation analysis and receiver operating characteristic (ROC) curve analyses were utilized to assess the correlation and predictive value of obesity measurement indicators and cerebrovascular function integrals.Results:Among the 3 496 subjects included in the analysis, 2 018 were male and 1 478 were female, with an average age of (46.4±7.9) years. The age, systolic blood pressure, diastolic blood pressure, body mass index, waist-to-hip ratio, body fat ratio, body fat content, visceral fat area, fasting blood glucose, total cholesterol, low-density lipoprotein, homocysteine all exhibited an increasing trend as the cerebrovascular function integral value decreased (all P<0.05). The skeletal muscle content in the low-risk group was significantly higher than those in the high-risk group, medium-risk group, and normal group [45.00 (36.80, 50.60) vs 44.10 (36.98, 50.45), 44.50 (37.80, 50.20), and 42.75 (36.30, 48.60) kg, respectively] ( P<0.05). The triglyceride level in the medium-risk group was higher when compared to those in the high-risk group, low-risk group, and normal group[1.87 (1.29, 2.70) vs 1.71 (1.24, 2.80), 1.75 (1.18, 2.70), and 1.43 (1.00, 2.14) mmol/L] ( P<0.05). The high-density lipoprotein level in the normal group was higher than the high-risk group, medium-risk group, and low-risk group[1.26 (1.05, 1.51) vs 1.16 (0.94, 1.36), 1.15 (0.99, 1.39), and 1.16 (0.97, 1.39) mmol/L, respectively] ( P<0.05). The increases in systolic blood pressure, diastolic blood pressure, body mass index, and body fat content were all moderately negatively correlated with the cerebrovascular function score ( rs=-0.347, -0.335, -0.370, and -0.340, respectively, all P<0.05). The increase in age ( OR=1.012, 95% CI: 1.002-1.022), systolic blood pressure ( OR=1.027, 95% CI: 1.017-1.036), diastolic blood pressure ( OR=1.028, 95% CI: 1.014-1.042), body mass index ( OR=1.157, 95% CI: 1.083-1.237), body fat rate ( OR=1.021, 95% CI: 1.007-1.035), and fasting blood glucose ( OR=1.072, 95% CI: 1.020-1.127) were all positively correlated with the decrease of the cerebrovascular function score; conversely, the increase in skeletal muscle content ( OR=0.967, 95% CI: 0.951-0.982) was negatively correlated with the decrease in cerebrovascular function score (all P<0.05). The area under the curve for the combined prediction of cerebrovascular function integral value by age, systolic blood pressure, diastolic blood pressure, body mass index, body fat rate, skeletal muscle content, and fasting blood glucose was 0.754. Conclusions:As the body mass index and body fat content increase and the skeletal muscle content decreases in the healthy physical examination population, the likelihood of abnormal cerebrovascular function integral values rises; the combination of age, systolic blood pressure, diastolic blood pressure, body mass index, body fat percentage, skeletal muscle content, and fasting blood glucose indicators can predict the increased risk of cerebrovascular function integral values.