ObjectiveTo establish a regional risk assessment system for hospital-acquired infections in neurosurgery department of general hospital, and to evaluate its prevention and control effectiveness. MethodsFailure mode and effect analysis (FMEA) was used to identify the core risk factors for infections in neurosurgery department. The risk priority number (RPN) of each risk factor was calculated to determine the priority intervention targets. Targeted interventions were developed and continuously refined through the plan-do-check-act (PDCA) cycles. Data from January to June 2023 (control group) and July to December 2023 (intervention group) were collected to compare the differences in environmental hygiene monitoring qualification rate, incidence rate of hospital-acquired infections among inpatients, and detection rate of bacterial antimicrobial resistance. ResultsHigh-risk factors for hospital-acquired infections in neurosurgery department included patient-related risk factors, inadequate implementation of isolation measures for special infections, and poor compliance with surgical site infection (SSI) prevention protocols. After intervention, the environmental hygiene qualification rate significantly increased from 81.55% to 100.00% (χ²=120.49, P<0.001). The overall hospital-acquired infection rate among inpatients decreased from 2.62% to 2.45%, the infection rate of per case declined from 3.12% to 2.84%, and the detection rate of multidrug-resistant organism infections reduced from 43.72% to 36.79%. Additionally, antimicrobial utilization rate decreased from 48.75% to 42.53% (χ²=34.09, P<0.001). ConclusionThe FMEA-based risk assessment system can effectively identify critical infection risks in neurosurgery department, and targeted interventions can significantly improve infection prevention and control performance.

OBJECTIVE To explore an intelligent shelf management scheme aimed at enhancing the effective utilization rate of shelves and reducing the risk of dispensing errors for easily confused medicine， thereby facilitating the upgrade of intelligent shelf management in inpatient pharmacies. METHODS An intelligent positioning software based on the “five-level positioning” concept was designed using informational technology. Human-machine collaboration mode was adopted to optimize the shelf management process by integrating priority information， including pharmacological action， drug dosage， packaging color， injection drug type， and label style. Then， the effectiveness of the intelligent positioning software was evaluated comprehensively from multiple aspects such as shelf location arrangement effect， internal dispensing error rate and work experience. RESULTS Compared with the application of intelligent shelf management scheme （April-May， 2025）， the proportion of injectable drugs on the middle layer increased from 59.9% to 78.2% after the application of scheme （June-July， 2025）； the average internal dispensing error rate dropped from 0.098% to 0.049%. Intelligent positioning software ensured precise warehousing positioning， simplified management， reduced dispensing errors and achieved a good experience for pharmacists. In addition， the “intelligent positioning software for pharmaceutical shelf management”， developed based on the “five-level positioning” concept， had been granted one national computer software copyright. CONCLUSIONS In summary， the intelligent positioning software fully considers the actual work needs such as shelf capacity， drug dosage and distance between similar drugs. It can provide accurate prediction of pharmaceutical shelf and optimization scheme， basically achieving dual optimization of low error rate and high dispensing efficiency.

AIM:To investigate the mechanism of reduced tear secretion in depression-related dry eye rats based on 5-HT/TRPV4/AQP5.METHODS:Healthy SD male rats were established with chronic unpredictable mild stress(CUMS)method to establish a depression-induced dry eye model(n=8), and the control group was blank rats(n=8). The ELISA method was used to compare the 5-hydroxytryptamine(5-HT)in serum and hippocampal tissue of the two groups, and the HE sections of lacrimal gland and AQP5 immunohistochemistry were observed. Western blot and RT-PCR were used to detect the expression of 5-HT3R, TRPV4 and AQP5 in the lacrimal gland tissue of the two groups of rats.RESULTS:The tear secretion in the depression-induced group was significantly reduced(P=0.001), the serum and hippocampal 5-HT levels were significantly reduced(all P<0.05), the expression of AQP5 antibody in the lacrimal gland immunohistochemistry was significantly lower than that in the control group(P<0.001), the expression of 5-HT3R, TRPV4 and AQP5 in the lacrimal gland was significantly reduced(all P<0.05), and no obvious inflammatory cells were found in the lacrimal gland tissue sections.CONCLUSION:Depression-related dry eye may occur through a non-inflammatory 5-HT/TRPV4/AQP5 mechanism.

AIM:To investigate the mechanism of reduced tear secretion in depression-related dry eye rats based on 5-HT/TRPV4/AQP5.METHODS:Healthy SD male rats were established with chronic unpredictable mild stress(CUMS)method to establish a depression-induced dry eye model(n=8), and the control group was blank rats(n=8). The ELISA method was used to compare the 5-hydroxytryptamine(5-HT)in serum and hippocampal tissue of the two groups, and the HE sections of lacrimal gland and AQP5 immunohistochemistry were observed. Western blot and RT-PCR were used to detect the expression of 5-HT3R, TRPV4 and AQP5 in the lacrimal gland tissue of the two groups of rats.RESULTS:The tear secretion in the depression-induced group was significantly reduced(P=0.001), the serum and hippocampal 5-HT levels were significantly reduced(all P<0.05), the expression of AQP5 antibody in the lacrimal gland immunohistochemistry was significantly lower than that in the control group(P<0.001), the expression of 5-HT3R, TRPV4 and AQP5 in the lacrimal gland was significantly reduced(all P<0.05), and no obvious inflammatory cells were found in the lacrimal gland tissue sections.CONCLUSION:Depression-related dry eye may occur through a non-inflammatory 5-HT/TRPV4/AQP5 mechanism.

Objective:To investigate the factors influencing early recurrence for patients with initially unresectable hepatocellular carcinoma (HCC) who underwent salvage liver resection (SLR) following transcatheter arterial chemoembolization-based downstaging treatment, and construct a predictive model to evaluate its predicting performance.Methods:The retrospective cohort study was constructed. The clinicopathological data of 305 patients with initially unresectable HCC who were admitted to 4 medical centers in China, including the Third Affiliated Hospital of Naval Medical University (Shanghai Eastern Hepatobiliary Surgery Hospital) et al, from January 2019 to December 2021 were collected. There were 286 males and 19 females, aged (48.7±10.4)years. A total of 133 patients who were admitted from January 2019 to December 2020 were set as the training cohort, and the other 172 patients who were admitted from January to December 2021 were set as the validation cohort. Observation indicators: (1) postoperative recurrence-free survival in HCC patients; (2) analysis of factors influencing postoperative early recurrence in HCC patients; (3) construction and validation of the predictive model. Comparison of measurement data with normal distribution between groups was conducted using the independent sample t test. Comparison of count data between groups was conducted using the chi-square test. Comparison of ordinal data was conducted using the rank sum test. Univariate and multivariate analyses were conducted using the Cox regre-ssion model. The Kaplan-Meier method was used to calculate survival. The Log-rank test was used for survival analysis. The predicting performance of the model was evaluated using the concordance index (C-index) and the area under curve (AUC) of time-dependent receiver operating characteristic (ROC) curve, and the accuracy of the model was validated using the calibration curve. The total net gain of the model was evaluated using the decision curve. Results:(1) Postoperative recurrence-free survival in HCC patients. The recurrence-free survival time of 133 HCC patients in the training cohort was 10.0(range, 1.5-24.0)months, with 1-, 2-year recurrence-free survival rate of 47.3% and 36.8%. The recurrence-free survival time of 172 HCC patients in the validation cohort was 11.0(range, 1.0-24.0)months, with 1-, 2-year recurrence-free survival rate of 51.7% and 37.2%. There was no significant difference in recurrence-free survival between patients in the training cohort and the validation cohort ( χ2=0.075, P>0.05). (2) Analysis of factors influencing postoperative early recur-rence in HCC patients. Results of multivariate analysis showed that tumor burden prior to down-staging treatment, grade of albumin-bilirubin (ALBI) score prior to SLR, alpha-fetoprotein (AFP) half-life prior to SLR, and tumor response prior to SLR were independent factors influencing early recurrence in HCC patients after surgery [ hazard ratio=3.212, 2.526, 2.304, 1.575, 95% confidence interal ( CI) as 1.262-8.175, 1.324-4.818, 1.477-3.595, 1.138-2.180, P<0.05]. (3) Construction and validation of the predictive model. A nomogram predictive model for postoperative early recurrence was constructed base on the results of multivariate analysis. The C-index of predictive model was 0.786 for the training cohort and 0.734 for the validation cohort. The AUC of ROC curve of nomogram predictive model for 12-, 18-, and 24-month recurrence-free survival rate in the training cohort were 0.890 (95% CI as 0.836-0.944), 0.895 (95% CI as 0.842-0.947), and 0.887 (95% CI as 0.831-0.942), respectively. The AUC of ROC curve of nomogram predictive model for 12-, 18-, and 24-month recurrence-free survival rate in the validation cohort were 0.845 (95% CI as 0.781-0.909], 0.888 (95% CI as 0.826-0.950), and 0.919 (95% CI as 0.870-0.968), respectively. Results of calibration curve showed high consistency between the predicted results of nomogram predictive model and actual outcomes. Results of decision curve showed the nomogram predictive model with a good total net gain at a threshold of 0.10-0.50. Conclusions:Tumor burden prior to downstaging treatment, grade of ALBI score prior to SLR, AFP half-life prior to SLR, and tumor response prior to SLR are independent factors influencing early recurrence in initially unresectable HCC patients undergoing SLR following downstaging treatment. The nomogram predictive model based on these factors can effectively evaluate the prognosis of this patient population.

Liver fibrosis is a vital cause of morbidity in patients with liver diseases and developing novel anti-fibrotic drugs is imperative.Isovalerylspiramycin Ⅰ(ISP Ⅰ)as a major component of carrimycin applied to upper respiratory infections,was first found to possess anti-fibrotic potential.The present study aims to evaluate the functions and mechanisms of ISP Ⅰ in protecting against liver fibrosis.According to our results,ISP Ⅰ not only reduced the expressions of fibrogenic markers in LX-2 cells but also appeared great protective effects on liver injury and liver fibrosis in bile duct ligation(BDL)rats and carbon tetrachloride(CCl4)mice.We proved that nucleotide-binding protein 2(NUBP2)was the direct target of ISP Ⅰ.ISP Ⅰ through targeting NUBP2,increased the amount of vascular non-inflammatory molecule-1(VNN1)on the cell membrane,which will inhibit oxidative stress and fibrosis.Simultaneously,the original carri-mycin's protective effect on liver damage and fibrosis was verified.Therefore,our study provides po-tential agents for patients with liver fibrosis-related diseases,and the clear mechanism supports wide application in the clinic.

Objective To analyze the distribution characteristics and influencing factors of ultra-long hospitalization in malignant tumor patients and to explore strategies to reduce the average length of stay and enhance the efficiency of medical re-source utilization.Methods Ultra-long hospitalization was defined as the 99th percentile of hospital stay duration(P99=31 days).Data from patients discharged with malignant tumors in a specialized cancer hospital in 2024 were collected.The distribu-tion characteristics and influencing factors were analyzed using chi-square tests and logistic stepwise regression.Results Among the 36 097 patients with malignant tumors,the average length of stay was 4.95 days,with 375 cases classified as ultra-long hospi-talizations,accounting for 1.04％.These patients were predominantly over 55 years old,with a higher proportion of males.Pa-tients with stage Ⅲ malignant tumors,primary tumors classified as T2～T3,and primary sites in the esophagus,pancreas,and maxillofacial regions had a higher incidence of ultra-long hospitalizations.Significant factors influencing ultra-long hospitalization included treatment modality,complications(OR=20.319),number of discharge diagnoses(OR=6.915),ICU transfers(OR=4.714),unplanned reoperations(OR=4.416),tumor type,extent,and stage.Conclusion Medical institutions are advised to address the influencing factors of ultra-long hospitalizations by optimizing diagnostic and treatment processes,enhan-cing quality control systems,establishing early warning mechanisms,and strengthening information systems.These measures aim to improve the standardization of malignant tumor diagnosis and treatment,ensuring patient safety.

Objective To investigate the vasodilatory effect of luteolin on isolated denuded-endothelium rat thoracic aorta(DRTA)vascular rings,and the mechanistic role of the Kv7 ion channel.Methods The tension of DRTA vascular rings was measured using an ex vivo tissue perfusion muscle-tone detection system.DRTA vascular rings were pre-contracted with 60 mmol/L KCl or 0.3 μmol/L U46619,and the effect of luteolin on vascular-ring relaxation was observed at 1,3,10,30,100 and 300 μmol/L.The effects of 4-AP,XE-991,and ML213 on luteolin-induced vasodilation were also observed.The effect of luteolin on KCNQ1-KCNQ5 expression in the thoracic aorta was detected by real-time fluorescence quantitative polymerase chain reaction.Expression levels of Kv7.1 and Kv7.4 proteins in the DRTA were detected by Western blot.Results(1)The luteolin-induced maximum vasodilation rates in DRTA pre-contracted with 60 mmol/L KCl and 0.3 μmol/L U46619 were(97.67±8.51)％and(98.42±9.76)％,respectively.The vasodilation effect was concentration-dependent(P＜0.05).(2)4-AP(3 mmol/L)significantly reduced the vasodilatory effect of luteolin on DRTA vascular rings at 10,30,and 100 μmol/L(P＜0.05),and XE-991(3 μmol/L)significantly reduced the effect of luteolin at 30 and 100 μmol/L(P＜0.05),while ML213(1 μmol/L)significantly enhanced the vasodilatory effect of luteolin at 3,10,and 30 μmol/L(P＜0.05).(3)The relative gene expression levels of each subtype of Kv7 channel in normal DRTA were KCNQ1＞KCNQ5＞KCNQ4＞KCNQ3＞KCNQ2,with KCNQ1 being the most highly expressed.(4)Luteolin significantly enhanced the expression levels of KCNQ1 at 3,10,30,and 100 μmol/L,KCNQ2 at 1,3,10,30,and 100 μmol/L(P＜0.05),KCNQ3 at 3,10,30,and 100 μmol/L,and KCNQ4 at 10,30,and 100 μmol/L(P＜0.05),but did not significantly enhance the expression of KCNQ5 at 1,3,10,30,or 100 μmol/L(P＞0.05).(5)Luteolin significantly increased the expression of Kv7.1 protein in DRTA at 3,10,30,and 100 μmol/L(P＜0.05)and the expression of Kv7.4 at 10,30,and 100 μmol/L(P＜0.05).Conclusions Luteolin-induced dilation of DRTA vascular rings may be related to the enhanced gene expression of KCNQ1-4 and increased expression of Kv7.1 and Kv7.4 channel proteins.

Objectives:To investigate the epidemiological characteristics and ethnic differences of cardiovascular-kidney-metabolic syndrome(CKM)among the Hani,Dai,Bai,and Lisu populations in Yunnan Province,and to provide evidence for developing effective prevention and control strategies for CKM.Methods:A cross-sectional survey was conducted among four ethnic minority groups.A total of 3 906 permanent residents aged 18 years and older were enrolled using a multistage cluster random sampling method.CKM stages(0-4)were defined based on the 2023 American Heart Association criteria,stages 3-4 were classified as advanced CKM.Descriptive statistics and chi-square tests were used to compare the prevalence of CKM stages across ethnic groups.Modified Poisson regression was applied to estimate relative risk(RR)and 95%confidence intervals(CI)for factors associated with advanced CKM.Results:The prevalence rates of CKM stage 1 and above among the Hani,Dai,Bai and Lisu ethnic groups were 80.1%,87.3%,84.8%and 67.8%,respectively.The prevalence of CKM was generally higher in males than in females,and the prevalence of CKM increased significantly with age.The Dai ethnic group had the highest prevalence of advanced CKM(24.7%,95%CI:22.1%-27.4%),while the Lisu ethnic group had the lowest prevalence of advanced CKM(13.7%,95%CI:11.5%-15.9%).Modified Poisson regression analysis showed that older age and higher body mass index were common risk factors for advanced CKM across all four ethnic groups.Additionally,except for the Lisu ethnic group,the other three ethnic groups had specific individual risk factors:among the Hani ethnic group,low educational attainment(RR=2.18,95%CI:1.12-4.25)and low income(RR=1.47,95%CI:1.00-2.18)were the primary risk factors of CKM.Among the Dai ethnic group,smoking(RR=1.60,95%CI:1.07-2.37)and a family history of cardiovascular disease(RR=1.61,95%CI:1.14-2.27)are the primary risk factors of CKM.Among the Bai ethnic group,male gender(RR=0.48,95%CI:0.29-0.79)was the primary risk factor of CKM.Conclusions:The prevalence of CKM stage 1 or higher is relatively high among the four minority ethnic groups in Yunnan province.There are significant differences in staging characteristics and primary risk factors across ethnic groups,necessitating the development of stratified,differentiated intervention strategies to achieve precise prevention and control and ethnic health equity in terms of CKM.

Objective:To investigate the factors influencing early recurrence for patients with initially unresectable hepatocellular carcinoma (HCC) who underwent salvage liver resection (SLR) following transcatheter arterial chemoembolization-based downstaging treatment, and construct a predictive model to evaluate its predicting performance.Methods:The retrospective cohort study was constructed. The clinicopathological data of 305 patients with initially unresectable HCC who were admitted to 4 medical centers in China, including the Third Affiliated Hospital of Naval Medical University (Shanghai Eastern Hepatobiliary Surgery Hospital) et al, from January 2019 to December 2021 were collected. There were 286 males and 19 females, aged (48.7±10.4)years. A total of 133 patients who were admitted from January 2019 to December 2020 were set as the training cohort, and the other 172 patients who were admitted from January to December 2021 were set as the validation cohort. Observation indicators: (1) postoperative recurrence-free survival in HCC patients; (2) analysis of factors influencing postoperative early recurrence in HCC patients; (3) construction and validation of the predictive model. Comparison of measurement data with normal distribution between groups was conducted using the independent sample t test. Comparison of count data between groups was conducted using the chi-square test. Comparison of ordinal data was conducted using the rank sum test. Univariate and multivariate analyses were conducted using the Cox regre-ssion model. The Kaplan-Meier method was used to calculate survival. The Log-rank test was used for survival analysis. The predicting performance of the model was evaluated using the concordance index (C-index) and the area under curve (AUC) of time-dependent receiver operating characteristic (ROC) curve, and the accuracy of the model was validated using the calibration curve. The total net gain of the model was evaluated using the decision curve. Results:(1) Postoperative recurrence-free survival in HCC patients. The recurrence-free survival time of 133 HCC patients in the training cohort was 10.0(range, 1.5-24.0)months, with 1-, 2-year recurrence-free survival rate of 47.3% and 36.8%. The recurrence-free survival time of 172 HCC patients in the validation cohort was 11.0(range, 1.0-24.0)months, with 1-, 2-year recurrence-free survival rate of 51.7% and 37.2%. There was no significant difference in recurrence-free survival between patients in the training cohort and the validation cohort ( χ2=0.075, P>0.05). (2) Analysis of factors influencing postoperative early recur-rence in HCC patients. Results of multivariate analysis showed that tumor burden prior to down-staging treatment, grade of albumin-bilirubin (ALBI) score prior to SLR, alpha-fetoprotein (AFP) half-life prior to SLR, and tumor response prior to SLR were independent factors influencing early recurrence in HCC patients after surgery [ hazard ratio=3.212, 2.526, 2.304, 1.575, 95% confidence interal ( CI) as 1.262-8.175, 1.324-4.818, 1.477-3.595, 1.138-2.180, P<0.05]. (3) Construction and validation of the predictive model. A nomogram predictive model for postoperative early recurrence was constructed base on the results of multivariate analysis. The C-index of predictive model was 0.786 for the training cohort and 0.734 for the validation cohort. The AUC of ROC curve of nomogram predictive model for 12-, 18-, and 24-month recurrence-free survival rate in the training cohort were 0.890 (95% CI as 0.836-0.944), 0.895 (95% CI as 0.842-0.947), and 0.887 (95% CI as 0.831-0.942), respectively. The AUC of ROC curve of nomogram predictive model for 12-, 18-, and 24-month recurrence-free survival rate in the validation cohort were 0.845 (95% CI as 0.781-0.909], 0.888 (95% CI as 0.826-0.950), and 0.919 (95% CI as 0.870-0.968), respectively. Results of calibration curve showed high consistency between the predicted results of nomogram predictive model and actual outcomes. Results of decision curve showed the nomogram predictive model with a good total net gain at a threshold of 0.10-0.50. Conclusions:Tumor burden prior to downstaging treatment, grade of ALBI score prior to SLR, AFP half-life prior to SLR, and tumor response prior to SLR are independent factors influencing early recurrence in initially unresectable HCC patients undergoing SLR following downstaging treatment. The nomogram predictive model based on these factors can effectively evaluate the prognosis of this patient population.