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.

Purpose: This study aimed to evaluate the safety and efficacy of gemcitabine and cisplatin (GP) regimen in combination with immune checkpoint inhibitor sintilimab as neoadjuvant therapy for muscle-invasive bladder cancer (MIBC) patients and the feasibility of the following selective bladder sparing surgery. Materials and Methods: Patients with histopathologically confirmed urothelial carcinoma without distant metastases (T2-4a, N ≤ 1, M0, American Joint Committee of Cancer 8th) and with adequate organ function will be enrolled. The therapeutic regimen was sintilimab 200 mg once on day 8, gemcitabine 1,000 mg/m2 and cisplatin 35 mg/m2 once on days 1 and 8, every 21 days for four cycles. The primary endpoint was pathologic complete response (pCR, pT0N0) rate. The secondary end points were ypT < 2 rate, R0 resection rate, event-free survival, and safety. Results: From May 4, 2020, to May 20, 2023, 55 patients were enrolled. Forty-six patients were evaluated for efficacy. Among the 42 patients who underwent surgery, 16 patients (38.0%) achieved pCR. Thirty-three patients (78.6%) achieved pT < 2. With a median follow-up of 15.7 months, the 1-year event-free survival was 91.3%. Notwithstanding the poor pathological baseline characteristic of a high T3-T4a proportion (39.1%), a promising bladder preservation (including 22 patients transurethral resection of bladder tumor, 5 patients partial cystectomy, and 4 surveillances) rate was achieved (67.4%). The most common grade ≥ 3 treatment-related adverse events was neutropenia (n=15, 27.3%), which was related to chemotherapy. There were no grade 3 immune-related adverse events. Conclusion Neoadjuvant GP plus sintilimab is a promising regimen for MIBC patients, with relatively high pT < 2 rate and triggering the emerging roles for the multi-disciplinary team decision-making for bladder sparing surgery.

ObjectiveTo explore the function and related molecular mechanisms of magnoflorine against colon cancer via network pharmacology， molecular docking， and in vitro cell experiments. MethodsIn this study， the canonical SMILES of magnoflorine was obtained from the PubChem database， and the potential targets of magnoflorine were predicted by the Swiss Target Prediction database， while the disease targets of colon cancer were obtained from the DisGeNET， GeneCards and OMIM databases. The intersecting targets between magnoflorine's predicted targets and colon cancer disease targets were taken， and a protein-protein interaction （PPI） network was constructed and analyzed. The DAVID online database was employed to conduct Gene Ontology （GO） and KEGG pathway enrichment analyses on core targets. The top five key targets screened were docked with magnoflorine using AutoDock software. Finally， cellular experiments including CCK-8 assays， EdU experiments， cell scratch assays， and Transwell assays were conducted to validate the results from network pharmacology and molecular docking. Results44 key targets of magnoflorine in resisting colon cancer were acquired. The molecular docking results showed that magnoflorine had a strong binding activity with the core target signal transducer and activator of transcription 3 （STAT3） in the top five of the PPI network. Cellular experiments confirmed that magnoflorine could inhibit the proliferation and migration of colon cancer cells by suppressing the JAK/STAT3 signaling pathway. ConclusionMagnoflorine may inhibit the proliferation and migration of colon cancer cells by regulating the JAK/STAT3 signaling pathway.

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 establish an ultra-performance liquid chromatography-tandem mass spectrometry （UPLC-MS/MS） method for the simultaneous determination of the contents of six Aconitum alkaloids in Compound chondroitin sulfate tablets， and to perform quality evaluation of samples from different batches， thereby providing a reference for the quality control of this preparation.METHODS Chromatographic separation was performed on an Agilent SB-C 18 column using gradient elution with 0.2% formic acid （adjusted to pH 7.5 with ammonia） and acetonitrile as the mobile phases. The flow rate was 0.3 mL/min， the column temperature was 35 ℃， and the injection volume was 1 μL. Mass spectrometric analysis was performed using an AJS ESI + ion source in multiple reaction monitoring mode， with quantification by the external standard method. Method validation was performed. The established UPLC-MS/MS method was applied to determine the contents of the six Aconitum alkaloids in 64 batches of samples from three manufacturers， including three diester-type alkaloids （aconitine， hypaconitine， and mesaconitine） and three monoester-type alkaloids （benzoylaconine， benzoylhypaconine， and benzoylmesaconine）. Descriptive statistics， the Kruskal-Wallis H test， principal component analysis （PCA）， and Spearman’s rank correlation analysis were used to evaluate the content distribution of Aconitum alkaloids， differences among samples from different manufacturers， and correlations among the components.RESULTS Good linearity was observed for the six Aconitum alkaloids over their respective concentration ranges， with correlation coefficients （all r ＞0.99）. The relative standard deviations （RSDs） for precision， repeatability， and stability were all less than 5%. The limits of detection and quantification were no higher than 0.003 ng/mL and 0.01 ng/mL， respectively. The mean recoveries ranged from 96.43% to 102.30%， with RSDs ranging from 0.35% to 4.92%. Among the 64 batches of samples， the total content of monoester-type alkaloids （mean value of 0.034 9 mg/tablet） was markedly higher than that of diester-type alkaloids （mean value of 0.002 2 mg/tablet）. Benzoylmesaconine showed the highest content， with a mean value of 0.031 0 mg/tablet， whereas the other five components were present at relatively low levels and showed considerable inter-batch variation. No statistically significant differences were observed in the contents of the six components among samples from different manufacturers （ P ＞0.05）. PCA showed no obvious clustering trend， and significant correlations were observed among some components （ P ＜0.05）.CONCLUSIONS The established UPLC-MS/MS method enables the rapid and accurate simultaneous determination of the above-mentioned six Aconitum alkaloids in Compound chondroitin sulfate tablets. The quality evaluation of multiple batches of samples provides a reference for the quality control of this preparation.

Objective:To identify candidate strains of Nontoxigenic Clostridioides difficile (NTCD) with potential for intervention in Clostridioides difficile infection (CDI) and analyze their phenotypic characteristics. Methods:A total of 713 Clostridioides difficile strains from various sources were systematically collected nationwide between 2015 and 2023. This included 649 strains isolated from human fecal samples and 64 strains isolated from the fecal samples of farmed animals. NTCD strains were preliminarily screened through toxin gene detection and antibiotic sensitivity test, and then NTCD candidate strains with potential for intervention in CDI were screened by a series of in vitro experiments, including MLST, sporulation, germination, adhesion, motility, and biofilm formation ability. Ultimately, the virulence genes and antimicrobial resistance genes of the candidate strains were comprehensively analyzed to rigorously assess their safety profiles. Results:Among 713 strains of C. difficile from different sources, 10 strains were initially screened out, which were non-toxin-producing and sensitive to antibiotics. MLST showed that seven strains were from the Clade1 branch and three strains were of a novel type. The results of sporulation and germination showed that SD59, SD178, SJZ17, and WZ142 had stronger sporulation and germination abilities. The adhesion of 10 strains was high, and the adhesion rate was between 72.93% and 99.32%. The motility of all strains was different, and the motility of SD178, SD59 and SJZ17 was stronger. The biofilm-forming ability of all strains was weak. SD59, SD178 and SJZ17 carried a limited number of virulence and resistance genes, thereby posing a relatively low safety risk. Conclusion:Three NTCD strains are successfully selected as potential effective NTCD strains to interfere with CDI.

[Purpose]To analyze the incidence trend and age,period,cohort effects of brain and other central nervous system tumors(brain tumor)in Qidong City of Jiangsu Province from 1972 to 2021.[Methods]The incidence data of brain tumor from 1972 to 2021 were collected from the Qidong cancer registry database.The crude incidence rate(CR),age-standardized rate by Chi-nese standard population(ASRC),age-standardized rate by world standard population(ASRW)and average annual percentage change(AAPC)were calculated.The age-period-cohort(APC)model was used to analyze the age,period,and cohort effects of brain tumor incidence in Qidong City from 1972 to 2021.[Results]A total of 2 801 cases of brain tumor occurred in Qidong City from 1972 to 2021,including 1 475 male cases and 1 326 female cases.From 1972-1976 to 2017-2021,the CR increased from 1.81/10 5 to 9.28/10 5,the ASRC increased from 2.07/10 5 to 4.96/10 5,and ASRW increased from 2.00/105 to 4.98/105.From 1972 to 2021 the AAPC of CR,ASRC and ASRW were 3.97％(3.53％for male and 4.37％for female),2.02％(1.66％for male and 2.24％for female)and 2.06％(1.63％for male and 2.24％for female)(all P＜0.001).The Wald's Chi-square test of the APC model showed that there were significant differences in the trends of age,period and birth cohort effect of brain tumor risk(all P＜0.05).The age effect showed that the incidence of brain tumor increased with age,starting from the age group of 45～49 years old and reaching a peak of 25.84/10 5 in age group of 75～79 years old(95％CI:21.17/10 5～31.53/10 5).The period ef-fect showed that the risk of recent period was higher than that in the early period using 1992-1996 period as the reference,reaching the highest in 2012-2016(RR=1.64,95％CI:1.38～1.95).The birth cohort effect showed that the highest risk was in 2017-2021 births cohort(RR=11.17,95％CI:4.26～29.26)using 1952-1956 birth cohort as the reference.[Conclusion]The incidence of brain tumor in Qidong City has been rising;and age,period and cohort are the main influencing factors,suggesting that the middle-aged and elderly population should be the focus of brain tumor prevention and control.

Objective:To investigate the current status of treatment delay and analyze its influencing factors in patients with breast cancer-related lymphedema.Methods:Using convenience sampling, 218 patients with breast cancer-related lymphedema from The First Affiliated Hospital of Zhengzhou University between April 2024 and January 2025 were enrolled. The General Information Questionnaire, Lymphedema Self-Management Support Scale for Breast Cancer Survivors (LSMS-BCs), Brief Illness Perception Questionnaire for Breast Cancer-related Lymphedema (BIPQ-BCRL), Perceived Barriers to Health Care-Seeking Decision-Chinese (PBHSD-C), and Health Literacy Scale for Chronic Patients (HLSCP) were used to conduct a cross-sectional survey. Logistic regression identified predictors of treatment delay, with model fit assessed by the Hosmer-Lemeshow test. Discriminative ability was evaluated using receiver operating characteristic (ROC) curve analysis.Results:The study included 218 female BCRL patients, aged (58.31 ± 10.54) years. Among 218 patients, 76 experienced treatment delay, the incidence of treatment delay was 34.8% (76/218). Independent risk factors included junior high school education or below, no regular arm circumference measurement, low self-management support scores, low illness perception scores, high perceived barriers to healthcare-seeking scores, and low health literacy scores (Wald χ2 values were 7.75-15.15, all P<0.05). The Hosmer-Lemeshow test indicated good model fit ( χ2=6.21, P>0.05). The combined predictive model demonstrated significantly better discrimination than individual factors, the area under the curve of ROC was 0.846 ( P<0.01). Conclusions:The incidence of treatment delay is relatively high among breast cancer-related lymphedema patients. Nursing staff should pay special attention to patients with a junior high school education or below, no regular arm circumference measurement, low LSMS-BCs scores, low BIPQ-BCRL scores, high PBHSD-C scores and low HLSCP scores, implement timely interventions to reduce treatment delay in lymphedema patients.

Tracheal intubation is the most commonly used way to establish artificial airway in intensive care unit patients, and it is the premise of respiratory support and treatment, the success of extubation is an important basis to measure the prognosis of patients. Influenced by many factors, extubation of patients may fail, resulting in prolonged hospitalization, increased medical expenses and increased incidence of complications. This article reviews the literature at home and abroad, and summarizes the main mechanism, risk factors and prevention strategies of extubation failure in intensive care unit patients, aiming at improving the recognition ability of clinical medical staff for extubation failure and providing reference for clinical management and follow-up research.

Objective"Lie flat"has recently become a buzz word describing a specific psychological state in some individuals.However,its psychological meaning and mechanisms remain unclear.Lack of motivation under certain conditions may be one of the key psychological characteristics of this condition.Methods Sixteen male SD rats were randomly assigned to two food-restriction levels(90%and 80%of baseline weight,respectively),and subjected to a sucrose-pellet self-administration task.The establishment of the model is divided into three stages.The rats were trained to self-administer sucrose pellets in a high-reward learning stage and in a low-reward learning stage.We then assessed"lie flat"behavior in a preference-test stage,in which rats could choose between high-reward-and low-reward-paired nose-pokes in a discrete choice procedure.Results Combining self-feeding training with Western blot,the results showed that:(1)rats showed significantly decreased nose-poke behavior for low-reward,i.e."lie flat"behavior,but not for high-reward,when≥90%of the maximal reward was obtained in the high-reward task and the effort(X)in the low-reward task increased to the breaking point.(2)Dopamine D1R expression in the NAc was significantly higher in the"lie flat"group compared with the"not lie flat"rats,while D2R expression was similar in both groups.Conclusions Rats can show"lie flat"behavior,and up-regulation of D1R expression in the NAc may be a key part of the molecular basis responsible for this motivation deficiency in"lie flat"behavior.These results extend our understanding of"lie flat"behavior,and provide a new paradigm for the study of its mechanism.