OBJECTIVE To explore optimization pathways for the drug traceability code management model in outpatient pharmacy workflows， providing practical evidence for enhancing the efficiency of pharmaceutical service. METHODS Taking the outpatient pharmacy of the First Affiliated Hospital of Sun Yat-sen University as the research subject， a comprehensive drug traceability system was established through three key interventions： upgrading the information system architecture [including integration of the hospital information system （HIS） with the traceability platform]， workflow optimization （reorganizing the inventory-dispensing-verification tripartite process）， and designing a dual-mode traceability data collection mechanism （primary data capture at dispensing stations and supplementary capture at verification stations）. Operational efficiency differences before and after implementation were analyzed using the medical insurance data and service timeliness metrics in September 2024. RESULTS After the implementation of drug traceability code management， in terms of data collection: Mode Ⅰ （verification-stage capture） uploaded 26 144 records， while Mode Ⅲ （inventory-as-sales capture） uploaded 443 061 records， totaling 469 205 entries； in terms of time efficiency： average drug dispensing time increased from 28.74 s to 43.37 s （enhanced by 51%）. Through dynamic staffing adjustments， patient wait time only extended from 8.04 min to 8.67 min （enhanced by 8%）. CONCLUSIONS Drug traceability code management can be effectively implemented via a “system reconstruction-process reengineering-human-machine collaboration” trinity strategy， leveraging informatization （e.g.， dual-mode data capture） to offset manual operation delays， which validates the feasibility of balancing national traceability demands with service efficiency in outpatient pharmacies.

INTRODUCTION: Lecanemab has shown promise in treating early Alzheimer's disease (AD), but its safety and efficacy in Chinese populations remain unexplored. This study aimed to evaluate the safety and 6-month clinical outcomes of lecanemab in Chinese patients with mild cognitive impairment (MCI) or mild AD. METHODS: In this single-arm, real-world study, participants with MCI due to AD or mild AD received biweekly intravenous lecanemab (10 mg/kg). The study was conducted at Hainan Branch, Ruijin Hospital Shanghai Jiao Tong University School of Medicine. Patient enrollment and baseline assessments commenced in November 2023. Safety assessments included monitoring for amyloid-related imaging abnormalities (ARIA) and other adverse events. Clinical and biomarker changes from baseline to 6 months were evaluated using cognitive scales (mini-mental state examination [MMSE], montreal cognitive assessment [MoCA], clinical dementia rating-sum of boxes [CDR-SB]), plasma biomarker analysis, and advanced neuroimaging. RESULTS: A total of 64 patients were enrolled in this ongoing real-world study. Safety analysis revealed predominantly mild adverse events, with infusion-related reactions (20.3%, 13/64) being the most common. Of these, 69.2% (9/13) occurred during the initial infusion and 84.6% (11/13) did not recur. ARIA-H (microhemorrhages/superficial siderosis) and ARIA-E (edema/effusion) were observed in 9.4% (6/64) and 3.1% (2/64) of participants, respectively, with only two symptomatic cases (one ARIA-E presenting with headache and one ARIA-H with visual disturbances). After 6 months of treatment, cognitive scores remained stable compared to baseline (MMSE: 22.33 ± 5.58 vs . 21.27 ± 4.30, P = 0.733; MoCA: 16.38 ± 6.67 vs . 15.90 ± 4.78, P = 0.785; CDR-SB: 2.30 ± 1.65 vs . 3.16 ± 1.72, P = 0.357), while significantly increasing plasma amyloid-β 42 (Aβ42) (+21.42%) and Aβ40 (+23.53%) levels compared to baseline. CONCLUSIONS: Lecanemab demonstrated a favorable safety profile in Chinese patients with early AD. Cognitive stability and biomarker changes over 6 months suggest potential efficacy, though high dropout rates and absence of a control group warrant cautious interpretation. These findings provide preliminary real-world evidence for lecanemab's use in China, supporting further investigation in larger controlled studies. REGISTRATION ClinicalTrials.gov , NCT07034222.
Humans ; Alzheimer Disease/drug therapy* ; Male ; Female ; Aged ; Middle Aged ; Cognitive Dysfunction/drug therapy* ; Aged, 80 and over ; Amyloid beta-Peptides/metabolism* ; Biomarkers ; East Asian People

OBJECTIVES: To investigate the mechanism mediating the regulatory effect of miR-155-5p on proliferation of human submandibular gland epithelial cells (HSGECs) in primary Sjogren's syndrome (pSS). METHODS: Dual luciferase reporter assay was used to verify the targeting relationship between miR-155-5p and the PI3K/AKT pathway. In a HSGEC model of pSS induced by simulation with TRAIL and INF-γ, the effects of miR-155-inhibitor-NC or miR-155 inhibitor on cell viability, cell cycle, apoptosis and proliferation were evaluated using CKK8 assay, flow cytometry and colony formation assay. ELISA and RT-PCR were used to detect the expressions of inflammatory cytokines and miR-155-5p mRNA in the cells; Western blotting was performed to detect the expressions of proteins in the PI3K/AKT signaling pathway. RESULTS: Dual luciferase assay showed that miR-155-5p targets the PI3K/AKT pathway via PIK3R1 mRNA. The HSGEC model of pSS showed significantly decreased cell viability, cell clone formation ability and expressions IL-10 and IL-4 and increased cell apoptosis, cell percentage in G2 phase, expressions of TNF‑α, IL-6, miR-155-5p and PIK3R1 mRNA, p-PI3K/PI3K ratio, p-Akt/AKT ratio, and PIK3R1 protein expression. Treatment of the cell models with miR-155 inhibitor significantly increased the cell viability, G1 phase cell percentage, colony formation ability, and expressions of IL-10 and IL-4 levels, and obviously reduced cell apoptosis rate, G2 phase cell percentage, expressions of TNF-α, IL-6, miR-155-5p and PIK3R1 mRNA, p-PI3K/PI3K ratio, p-AKT/AKT ratio, and PIK3R1 protein expression. CONCLUSIONS In HSGEC model of pSS, inhibition of miR-155-5p can promote cell proliferation and reduced cell apoptosis by targeting PI3K1 mRNA to negatively regulate the overexpression of PI3K/AKT signaling pathway.
Humans ; MicroRNAs/genetics* ; Cell Proliferation ; Signal Transduction ; Proto-Oncogene Proteins c-akt/metabolism* ; Sjogren's Syndrome/pathology* ; Epithelial Cells/cytology* ; Submandibular Gland/cytology* ; Phosphatidylinositol 3-Kinases/metabolism* ; Apoptosis ; Class Ia Phosphatidylinositol 3-Kinase ; Cells, Cultured

Objective:To determine the relative correction factor of pre-vitamin D and simplify the calculation method of vitamin D assay.Methods:By studying the calculation method of vitamin D content in drug standards of various countries,HPLC was used to determine the relative correction factor of pre-vitamin D,and the influencing factors of determination were investigated.Results:The relative correction factors of pre-vitamin D at 254 nm and 265nm wavelength were determined by statistical analysis of 7 laboratories in China.Conclusion:Using the pre-vi-tamin D relative correction factor method to calculate the total amount of vitamin D simplified the experimental steps can be simplified by the pre-vitamin D relative correction factor method to calculate the total amount of vitamin D and the random operating errors can be avoided.The method is rapid and accurate,and lay a solid foundation for further improving the standard of vitamin D preparations.

Objective:To construct a metrological safety evaluation model for large medical equipment based on the perspective of metrological safety,and to explore its application value in the management of large medical equipment.Methods:According to the different safety risk sources,the diagnosis and treatment area of large medical equipment was divided into five types:light source,electricity,water,radiation and information.The metrological safety assessment indicators were empowered by combining subjective and objective methods,and engineering support strategies were developed according to the metrological safety levels and safety change trends.A total of 48 large medical equipment in clinical use in The 960th Hospital of PLA Joint Logistic Support Force from 2020 to 2023 were selected.The 42 sets of equipment used during 2020 to 2021 adopted the conventional fault maintenance support mode(referred to as the conventional support mode),and the 43 sets of equipment used from 2022-2023(including 37 in conventional mode and 6 newly added)adopted the metrology safety technical support mode(referred to as metrology safety support mode).The metrology safety management ability score,metrological inspection qualification levels and metrological safety management effects of large medical equipment were compared between the two management modes.Results:The evaluation scores of theoretical knowledge,safety awareness,practical operation and emergency level indicators of large medical equipment use management personnel of the metrology safety support model were(17.39±1.38)points,(17.87±1.08)points,(27.68±1.45)points and(27.96±1.24)points,respectively,which were higher than those of the conventional support mode,the difference was statistically significant(t=4.234,4.371,5.832,3.764,P＜0.05).The average metrological inspection qualified rates(％)of medical imaging equipment,life support equipment,clinical laboratory equipment,operating room equipment and other equipment using the metrology safety support mode were(95.19±2.56)％,(95.56±1.79)％,(94.64±2.42)％,(96.20±2.01)％and(93.46±2.22)％,respectively,which were higher than those of the conventional support mode,the difference was statistically significant(t=3.846,2.809,2.405,2.492,2.742,P＜0.05).The proportion of large medical equipment rated as high safety level and low safety level in the metrological safety support model were 67.44％(29/43)and 4.65％(2/43),respectively,the proportion of high safety level was higher than that in the conventional support mode,and the proportion of low safety level was lower than that in the conventional support mode,the difference was statistically significant(x2=4.261,7.085,P＜0.05).Conclusion:The large medical equipment metrological safety support mode based on the safety perspective can improve the safety management ability of personnel related to equipment use and management,improve the operation quality and performance level of equipment,increase the proportion of high-safety level metrology safety of large medical equipment,and reduce the proportion of low-safety level.

Objective To investigate the application value of extracellular volume fraction(ECV)obtained from enhanced CT in diagnosis and classification of acute pancreatitis.Methods The clinical data from patients with acute pancreatitis(acute pancreatitis group)and normal controls(control group)underwent enhanced CT were analyzed retrospectively.The CT values of pancreas and abdominal aorta in the same sclice on precontrast and equilibrium-phase images were measured,and then pancreatic ECV was calcu-lated.The measured parameters were compared between the groups of control and acute pancreatitis,and subgroups of non-severe and severe pancreatitis.The logistic regression analysis was used to identify the risk factors for acute pancreatitis and severe pancrea-titis,and the receiver operating characteristic(ROC)curve was used to analyze the diagnostic efficiency in diagnosis and classifica-tion of acute pancreatitis.Results The pancreatic CT value and ECV were independent risk factors for acute pancreatitis(P＜0.05),and the ECV was an independent risk factor for severe pancreatitis(P＜0.05).The area under the curve(AUC)of ECV was higher in acute pancreatitis group(0.81)and severe pancreatitis subgroup(0.68).Conclusion As a quantitative parameter,the ECV obtained from enhanced CT has higher clinical application value and higher popularity in the diagnosis and classification of acute pancreatitis.

Objective To explore the mechanism of 3-methyladenine(3-MA)for alleviating early diabetic renal injury.Methods Mouse models of streptozotocin(STZ)-induced diabetes mellitus were randomized into model group and 3-MA treatment group for daily treatments with normal saline and 10 mg/kg 3-MA by gavage for 6 weeks,respectively.Body weight and fasting blood glucose of the mice were recorded every week.After the treatments,the kidneys of the mice were collected for measurement kidney/body weight ratio,examination of glomerular size with PAS staining,and detection of α-SMA and PCNA expressions using Western blotting and immunohistochemistry.SV40 MES 13 cells cultured in normal glucose(5.6 mmol/L)and high glucose(30 mmol/L)were treated with 24.4 mmol/L mannitol and 5 mmol/L 3-MA for 24 h,respectively,and the changes in cell viability and PCNA expression were examined using CCK8 assay and Western blotting.Bioinformatics analysis of the intersecting gene targets of diabetic kidney disease(DKD)and 3-MA was performed,and the results were verified by Western blotting both in vivo and in vitro.Results In the diabetic mice,treatment with 3-MA produced a short-term hypoglycemic effect,reduced the kidney/body weight ratio and glomerular hypertrophy,and decreased the expressions of α-SMA and PCNA in the renal cortex.In the in vitro study,3-MA significantly lowered the viability and reduced PCNA expression in SV40 MES 13 cells exposed to high glucose.The results of bioinformatic analysis identified AKT1 as the key gene in the therapeutic mechanism of 3-MA for DKD.Western blotting confirmed that 3-MA inhibited the phosphorylation of AKT and S6 in both the renal cortex of diabetic mice and high glucose-treated SV40 MES 13 cells.Conclusion 3-MA suppresses mesangial cell proliferation and alleviates early diabetic renal injury in mice possibly by inhibiting AKT signaling.

Objective:To investigate the effectiveness of teaching with regular two-way quality feedback combined with the Balint group technique for improving the core competencies of nurses in the department of cardiology.Methods:From June 2021 to July 2023, we assigned 118 nurses in the department of cardiology of our hospital into control group ( n=59, receiving teaching with regular two-way quality feedback) and study group ( n=59, receiving teaching with regular two-way quality feedback combined with the Balint group technique). The two groups were compared in terms of theoretical and practical assessment results, core competencies, empathic skills, and patient satisfaction with nursing. SPSS 22.0 software was used to conduct the t test and chi-square test. Results:After 2 months of intervention, the study group showed a significantly higher theoretical score [(94.23±4.36) vs. (91.54±3.14), P<0.05] and a significantly higher practical score [(98.67±1.08) vs. (97.54±1.21), P<0.05] than the control group. Both groups showed significant improvements in the dimension scores of the core competency scale and the total score and dimension scores of the empathy scale, and the research group was superior to the control group (all P<0.05). Patient satisfaction with nursing quality was significantly better for the study group than for the control group ( P>0.05). Conclusions:Teaching with regular two-way quality feedback combined with the Balint group technique is effective for improving the core competencies and empathic skills of cardiovascular nurses and patient satisfaction with nursing quality, which is worthy of application in clinical teaching.

Refeeding syndrome is a common complication in critically ill patients undergoing nutritional treatment, which can lead to multiple organ dysfunction and affect their prognosis. This paper reviews the risk assessment tools and predictive models for critically ill patients with refeeding syndrome, aiming to provide a basis for the prevention of refeeding syndrome in critically ill patients.

Background::Breast cancer (BC) risk-stratification tools for Asian women that are highly accurate and can provide improved interpretation ability are lacking. We aimed to develop risk-stratification models to predict long- and short-term BC risk among Chinese women and to simultaneously rank potential non-experimental risk factors.Methods::The Breast Cancer Cohort Study in Chinese Women, a large ongoing prospective dynamic cohort study, includes 122,058 women aged 25-70 years old from the eastern part of China. We developed multiple machine-learning risk prediction models using parametric models (penalized logistic regression, bootstrap, and ensemble learning), which were the short-term ensemble penalized logistic regression (EPLR) risk prediction model and the ensemble penalized long-term (EPLT) risk prediction model to estimate BC risk. The models were assessed based on calibration and discrimination, and following this assessment, they were externally validated in new study participants from 2017 to 2020.Results::The AUC values of the short-term EPLR risk prediction model were 0.800 for the internal validation and 0.751 for the external validation set. For the long-term EPLT risk prediction model, the area under the receiver operating characteristic curve was 0.692 and 0.760 in internal and external validations, respectively. The net reclassification improvement index of the EPLT relative to the Gail and the Han Chinese Breast Cancer Prediction Model (HCBCP) models for external validation was 0.193 and 0.233, respectively, indicating that the EPLT model has higher classification accuracy.Conclusions::We developed the EPLR and EPLT models to screen populations with a high risk of developing BC. These can serve as useful tools to aid in risk-stratified screening and BC prevention.