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.

Objective To evaluate the impact of the"Surgical Quality and Safety Improvement Initiative"by analyzing changes in surgical quality and safety indicators at a tertiary hospital in Tianjin,and to provide policy recommendations for further enhancing surgical quality improvement pathways.Methods Surgical quality and safety monitoring data from 2022 to 2024 were collected from a tertiary hospital in Tianjin.Interrupted time series analysis(ITSA)was employed to assess the effects of im-provement measures on surgical quality and safety outcomes.Results Following implementation of the initiative,perioperative complication rates showed a declining trend(β3=-0.051,P＜0.05),unplanned reoperation rates significantly decreased(β2=-0.121,P＜0.05),and surgical mortality rates markedly declined(β2=-0.086,P＜0.05),indicating that the man-agement measures effectively improved hospital surgical quality and safety over the study period.Conclusion The"Surgical Quality and Safety Improvement Initiative,"which established a comprehensive,staff-involved pathway for continuous surgical quality improvement,successfully enhanced surgical quality and safety.Recommendations include emphasizing frontline staff par-ticipation in quality management,strengthening data monitoring and feedback systems,implementing reasonable performance in-centives to motivate systemic improvement,and leveraging health information technology to support refined surgical management.

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 examine the serological and molecular prevalence as well as genotype characteristics of human Parvovirus B19 blood donors in Lanzhou,and to provide evidence for developing a screening strategy to reduce the risk of blood transfusion transmission.Methods A total of 5 722 blood samples collected from Lanzhou blood donors from April 2023 to October 2023 were tested for B19 DNA using real-time quantitative PCR(qRT-PCR).Additionally,383 samples were screened for anti-B19 IgG and anti-B19 IgM using synchronous enzyme-linked immunoassay(ELISA).Viral load and VP1 sequencing were conducted on the B19 DNA-positive samples and the Neighbor-Joining(N-J)method was used to construct an evolutionary tree for the sequenced samples.Results The prevalence of human Parvovirus B19 DNA,IgG antibody and IgM antibody was 0.47%(27/5 722),25.59%(98/383)and 0.26%(1/383),respectively,and the samples positive for B19 DNA,IgG antibody and IgM antibody were 0.26%(1/383).The co-positivity rate for B19 DNA and IgG antibody was 6.27%(24/383),while the positivity rates for B19 DNA or IgG antibody alone were 0.52%(2/383)and 19.06%(73/383),respectively.Viral loads ranged from 4.24 IU/ml to 5.67×102 IU/ml,all below 104 IU/ml.There was no statistical significance in the positive rate of B19 DNA in gender(χ2=0.86,P=0.35),but there was statistical significance in the positive rate of B19 DNA among all age groups(χ2=8.00,P=0.02).The highest positive rate of B19 DNA was 0.65%in the 18～30 age group.There was statistical significance in the positive rate of B19 IgG antibody in gender(χ2=5.03,P=0.02),but there was no statistical significance in the positive rate of B19 IgG antibody among all age groups(χ2=0.51,P=0.77).The highest positive rate of B19 IgG antibody was 29.09%in the age group of 41 to 60.There was no significant difference in the positive rate of B19 IgM antibody in gender(χ2=2.84,P=0.09).The highest positive rate of B19 IgM was 3.85%in the age group of 18～30 years old.Based on the VP1 sequence,the phylogenetic tree revealed that B19 strains in Lanzhou formed a distinct cladistic lineage within genotype 1,predominantly represented by genotype 1b.Conclusion The prevalence of B19 DNA and IgM antibodies among blood donors in the Lanzhou area is low,and so is the viral load.Therefore the risk of transmitting B19 through blood transfusion is relatively small.Since the prevalence of B19 IgG antibody is high,it is suggested to closely monitor the transmission situation in the area,regularly monitor the prevalence of B19 among blood donors,and track the situation of B19 DNA-positive blood donors to recipients to ensure the safety of clinical blood transfusion.

Objective To evaluate the impact of the"Surgical Quality and Safety Improvement Initiative"by analyzing changes in surgical quality and safety indicators at a tertiary hospital in Tianjin,and to provide policy recommendations for further enhancing surgical quality improvement pathways.Methods Surgical quality and safety monitoring data from 2022 to 2024 were collected from a tertiary hospital in Tianjin.Interrupted time series analysis(ITSA)was employed to assess the effects of im-provement measures on surgical quality and safety outcomes.Results Following implementation of the initiative,perioperative complication rates showed a declining trend(β3=-0.051,P＜0.05),unplanned reoperation rates significantly decreased(β2=-0.121,P＜0.05),and surgical mortality rates markedly declined(β2=-0.086,P＜0.05),indicating that the man-agement measures effectively improved hospital surgical quality and safety over the study period.Conclusion The"Surgical Quality and Safety Improvement Initiative,"which established a comprehensive,staff-involved pathway for continuous surgical quality improvement,successfully enhanced surgical quality and safety.Recommendations include emphasizing frontline staff par-ticipation in quality management,strengthening data monitoring and feedback systems,implementing reasonable performance in-centives to motivate systemic improvement,and leveraging health information technology to support refined surgical management.

Objective:To explore the role of diffusion tensor imaging (DTI) in monitoring prognosis after contralateral C7 nerve transfer in patients with central paralysis.Methods:The clinical data of a 56-year-old male patient with right limb motor impairment after cerebral infarction, admitted to the Department of Neurosurgery at Brain Hospital of Hunan Province in October 2023, were retrospectively analyzed. The patient had experienced right limb motor dysfunction for over 2 years following a cerebral infarction and was treated with contralateral C7 nerve transfer. Follow-ups were conducted at 2 and 6 months postoperatively. Motor function was assessed using the Fugl-Meyer Assessment (FMA) and Activities of Daily Living (ADL) scale, while changes in fractional anisotropy (FA) in the lesion area and corticospinal tract were monitored via DTI.Results:Postoperative follow-up of patient showed: (1) Significant improvement in motor function: ADL scores increased from 65 preoperatively to 75 (2 months postop) and 80 (6 months postop); FMA scores increased from 46 to 58 (2 months postop) and 61 (6 months postop). Muscle tension in the affected upper limb decreased markedly, and range of motion in the right shoulder joint improved. (2) Imaging improvements: DTI revealed an increase in FA values from 0.157 to 0.174 in the lesion area and from 0.52 to 0.53 in the corticospinal tract, indicating partial restoration of neural tract integrity.Conclusions:Contralateral C7 nerve transfer can effectively improve motor function in stroke patients. DTI technology provides an objective imaging basis for clinically assessing functional recovery by quantitatively evaluating changes in neural tract integrity, demonstrating significant value in guiding rehabilitation.

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 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.

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.