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.

ObjectiveTo establish a quality evaluation method for Zhuye Shigao granules（Zhuye Shigaotang） based on fingerprint and determination of index components， and to investigate the therapeutic effect of Zhuye Shigao granules on mice with cold-dampness pestilence attacking lung syndrome. MethodsThe fingerprint of Zhuye Shigao granules was established by high performance liquid chromatography（HPLC）， and the methods for determination of total calcium， orientin， isoorientin， ginsenosides Rg₁， Re and Rb₁ and other 2 index components were established. Fifty ICR mice were randomly divided into the blank group， model group， Zhuye Shigao granules low， medium and high dose groups（9.3， 18.6， 37.2 g·kg^-1·d^-1）， with 10 mice in each group. In addition to the blank group， the model mice with cold-dampness pestilence attacking lung syndrome was prepared by nasal drip of lipopolysaccharide combined with cold-dampness environment. Each administration group was given the corresponding liquid by gavage according to the dose， while the blank group and model group were given the same volume of normal saline by gavage. Then， the body temperature and organ index of mice in each group were measured， hematoxylin-eosin（HE） staining was used to investigate the lung tissue injury of mice in each group， and enzyme-linked immunosorbent assay（ELISA） was used to detect the changes of tumor necrosis factor-α（TNF-α）， interleukin（IL）-lβ， IL-6， IL-10 levels in serum and lung tissue， as well as immunoglobulin（Ig）A and IgM levels in serum. ResultsThe fingerprint similarity of 10 batches of Zhuye Shigao granules was>0.950， and 20 common peaks were calibrated. Seven of them were identified， including peak 11（isoorientin）， peak 12（orientin）， peak 14（apioside liquiritin）， peak 15（liquiritin）， peak 17（apioside isoliquiritin）， peak 19（isoliquiritin） and peak 20（liquiritigenin）. The results of quantitative analysis showed that the content range of each index component in 10 batches of Zhuye Shigao granules was as follows：Total calcium of 9.978-11.294 mg·g^-1， isoorientin of 0.033-0.041 mg·g^-1， orientin of 0.046-0.055 mg·g^-1， ginsenoside Rg₁+ginsenoside Re of 0.748-0.762 mg·g^-1， ginsenoside Rb₁ of 0.151-0.197 mg·g^-1， liquiritin of 1.106-1.366 mg·g^-1， glycyrrhizic acid of 0.904-1.182 mg·g^-1_. Compared with the blank group， the body temperature of mice in the model group was significantly increased， the organ indexes of liver， lung and spleen were significantly decreased， the organ index of thymus was significantly increased， HE staining of lung tissue showed infiltration of inflammatory cells， a small amount of serous exudation was observed in the alveoli， and lung tissue was damaged. After the intervention of Zhuye Shigao granules， the pathological changes were improved compared with the model group. The expression levels of IL-1β， IL-6 and TNF-α were significantly increased， the expression level of IL-10 was significantly decreased in serum and lung tissue. The levels of IgA and IgM in serum were significantly decreased（P<0.01）. Compared with the model group， the body temperature， the organ indexes and immune factor levels in serum and lung tissue of mice in the Zhuye Shigao granules medium and high dose groups were significantly reduced（P<0.05， P<0.01）. ConclusionIn this study， the quality evaluation of Zhuye Shigao granules was carried out based on fingerprint combined with determination of index components， and the fingerprint of four herbs（Lophatheri Herba， Ophiopogonis Radix， Pinelliae Rhizoma and Glycyrrhizae Radix et Rhizoma） in this formula and the determination of 8 index components were established. The therapeutic effect of Zhuye Shigao granules on mice with cold-dampness pestilence attacking lung syndrome may be related to inhibiting inflammatory response and mediating immune regulation.

Objective To investigate the mechanism mediating the regulatory effect of lncRNA MAGI2-AS3 on cisplatin(DDP)resistance in non-small cell lung cancer(NSCLC).Methods MAGI2-AS3 and miR-1269a expression levels were detected by qRT-PCR in DDP-sensitive lung cancer cell lines(A549 and H1299)and their resistant counterparts(A549/DDP and H1299/DDP).In A549 and H1299 cells with MAGI2-AS3 silencing and A549/DDP and H1299/DDP cells overexpressing MAGI2-AS3,the effects of 20 μmol/L DDP on cell viability and apoptosis were examined with CCK-8 assay,colony formation assay,flow cytometry and Western blotting,and the changes in epithelial-mesenchymal transition(EMT)were assessed with wound healing and Transwell assays.The interaction between MAGI2-AS3,miR-1269a and PTEN was predicted using GEPIA,StarBase and miRDB and verified with luciferase reporter gene assay and radioimmunoprecipitation(RIP)assay.A miR-1269a mimic and pcDNA3.1-PTEN plasmid were used to perform the rescue assay.Results MAGI2-AS3 expression was significantly downregulated in lung cancer tissues(P<0.05)in association with a poor prognosis(P<0.05).In the two DDP-resistant lung cancer cell lines,MAGI2-AS3 expression was significantly lowered as compared with the sensitive cells.Silencing MAGI2-AS3 significantly enhanced cell viability and promoted EMT of A549 and H1299 cells irrespective of DDP treatment,and also decreased DDP-induced apoptosis of the cells.In A549/DDP and H1299/DDP cells,MAGI2-AS3 overexpression strongly repressed cell viability and EMT irrespective of DDP treatment and promoted DDP-induced cell apoptosis.Luciferase reporter gene and RIP assays confirmed the binding of MAGI2-AS3 with miR-1269a and the binding of miR-1269a with 3'-UTR domain of PTEN.The rescue assay demonstrated that MAGI2-AS3 acted as a sponge for miR-1269a to promote PTEN expression and downregulate AKT phosphorylation,thus inhibiting EMT and promoting DDP-induced apoptosis of A549/DDP cells.Conclusion MAGI2-AS3 enhances DDP sensitivity of NSCLC by targeted regulation of the miR-1269a/PTEN/AKT signaling axis.

Objective To investigate the mechanism mediating the regulatory effect of lncRNA MAGI2-AS3 on cisplatin(DDP)resistance in non-small cell lung cancer(NSCLC).Methods MAGI2-AS3 and miR-1269a expression levels were detected by qRT-PCR in DDP-sensitive lung cancer cell lines(A549 and H1299)and their resistant counterparts(A549/DDP and H1299/DDP).In A549 and H1299 cells with MAGI2-AS3 silencing and A549/DDP and H1299/DDP cells overexpressing MAGI2-AS3,the effects of 20 μmol/L DDP on cell viability and apoptosis were examined with CCK-8 assay,colony formation assay,flow cytometry and Western blotting,and the changes in epithelial-mesenchymal transition(EMT)were assessed with wound healing and Transwell assays.The interaction between MAGI2-AS3,miR-1269a and PTEN was predicted using GEPIA,StarBase and miRDB and verified with luciferase reporter gene assay and radioimmunoprecipitation(RIP)assay.A miR-1269a mimic and pcDNA3.1-PTEN plasmid were used to perform the rescue assay.Results MAGI2-AS3 expression was significantly downregulated in lung cancer tissues(P<0.05)in association with a poor prognosis(P<0.05).In the two DDP-resistant lung cancer cell lines,MAGI2-AS3 expression was significantly lowered as compared with the sensitive cells.Silencing MAGI2-AS3 significantly enhanced cell viability and promoted EMT of A549 and H1299 cells irrespective of DDP treatment,and also decreased DDP-induced apoptosis of the cells.In A549/DDP and H1299/DDP cells,MAGI2-AS3 overexpression strongly repressed cell viability and EMT irrespective of DDP treatment and promoted DDP-induced cell apoptosis.Luciferase reporter gene and RIP assays confirmed the binding of MAGI2-AS3 with miR-1269a and the binding of miR-1269a with 3'-UTR domain of PTEN.The rescue assay demonstrated that MAGI2-AS3 acted as a sponge for miR-1269a to promote PTEN expression and downregulate AKT phosphorylation,thus inhibiting EMT and promoting DDP-induced apoptosis of A549/DDP cells.Conclusion MAGI2-AS3 enhances DDP sensitivity of NSCLC by targeted regulation of the miR-1269a/PTEN/AKT signaling axis.

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.

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.

Brain-computer interfaces (BCIs) have become one of the cutting-edge technologies in the world, and have been mainly applicated in medicine. In this article, we sorted out the development history and important scenarios of BCIs in medical application, analyzed the research progress, technology development, clinical transformation and product market through qualitative and quantitative analysis, and looked forward to the future trends. The results showed that the research hotspots included the processing and interpretation of electroencephalogram (EEG) signals, the development and application of machine learning algorithms, and the detection and treatment of neurological diseases. The technological key points included hardware development such as new electrodes, software development such as algorithms for EEG signal processing, and various medical applications such as rehabilitation and training in stroke patients. Currently, several invasive and non-invasive BCIs are in research. The R&D level of BCIs in China and the United State is leading the world, and have approved a number of non-invasive BCIs. In the future, BCIs will be applied to a wider range of medical fields. Related products will develop shift from a single mode to a combined mode. EEG signal acquisition devices will be miniaturized and wireless. The information flow and interaction between brain and machine will give birth to brain-machine fusion intelligence. Last but not least, the safety and ethical issues of BCIs will be taken seriously, and the relevant regulations and standards will be further improved.
Humans ; Brain-Computer Interfaces ; Medicine ; Algorithms ; Artificial Intelligence ; Brain

Objective:To investigate the value of multimodal MRI radiomics in the preoperative prediction of Fuhrman nuclear grade of clear cell renal cell carcinoma (ccRCC).Methods:A total of 129 patients with ccRCC confirmed by pathology from April 2011 to April 2021 in Third Affiliated Hospital of Soochow University were collected, and the imaging and clinicopathological data were retrospectively analyzed. All patients were divided into training set ( n=90) and validation set ( n=39) at the ratio of 7∶3 using random indicator method. According to the postoperative pathological results, Fuhrman grades Ⅰ and Ⅱ were included in the low grade group (96 cases, 65 cases in the training set and 31 cases in the validation set), and Fuhrman grades Ⅲ and Ⅳ were included in the high grade group (33 cases, 25 cases in the training set and 8 cases in the validation set). Two radiologists manually delineated regions of interest (ROI) on T 1WI, T 2WI, Dixon-water, Dixon-fat, susceptibility weighted imaging (SWI), blood oxygen level dependent (BOLD) images, and 396 texture features were extracted from each ROI. In the training set, intra-class correlation coefficient, Mann-Whitney U test, minimum redundancy maximum relevance and least absolute shrinkage and selection operator method were used to reduce the dimension of features to obtain the best texture features. The logistic regression was used to develop the multimodal radiomics model, and the receiver operating characteristic (ROC) curve was used to evaluate the effectiveness of the model in identifying high and low-grade ccRCC in training set and validation set. Results:Four SWI, one T 2WI and one BOLD texture features were selected for modeling. The areas under the ROC curve (95%CI) of the multimodal radiomics model for identifying high and low grade ccRCC in the training and validation sets were 0.859 (0.770-0.923) and 0.883 (0.740-0.964), with the specificity at 95.4% and 87.1%, the sensitivity at 68.0% and 87.5%, the accuracy at 87.8% and 87.2%, respectively. Conclusion:The multimodal MRI radiomics model based on T 2WI, SWI and BOLD images has high effectiveness in preoperative predicting Fuhrman nuclear grade of ccRCC.

BACKGROUND: Hypertrophic cardiomyopathy (HCM) is an underdiagnosed genetic heart disease worldwide. The management and prognosis of obstructive HCM (HOCM) and non-obstructive HCM (HNCM) are quite different, but it also remains challenging to discriminate these two subtypes. HCM is characterized by dysmetabolism, and myocardial amino acid (AA) metabolism is robustly changed. The present study aimed to delineate plasma AA and derivatives profiles, and identify potential biomarkers for HCM. METHODS: Plasma samples from 166 participants, including 57 cases of HOCM, 52 cases of HNCM, and 57 normal controls (NCs), who first visited the International Cooperation Center for HCM, Xijing Hospital between December 2019 and September 2020, were collected and analyzed by high-performance liquid chromatography-mass spectrometry based on targeted AA metabolomics. Three separate classification algorithms, including random forest, support vector machine, and logistic regression, were applied for the identification of specific AA and derivatives compositions for HCM and the development of screening models to discriminate HCM from NC as well as HOCM from HNCM. RESULTS: The univariate analysis showed that the serine, glycine, proline, citrulline, glutamine, cystine, creatinine, cysteine, choline, and aminoadipic acid levels in the HCM group were significantly different from those in the NC group. Four AAs and derivatives (Panel A; proline, glycine, cysteine, and choline) were screened out by multiple feature selection algorithms for discriminating HCM patients from NCs. The receiver operating characteristic (ROC) analysis in Panel A yielded an area under the ROC curve (AUC) of 0.83 (0.75-0.91) in the training set and 0.79 (0.65-0.94) in the validation set. Moreover, among 10 AAs and derivatives (arginine, phenylalanine, tyrosine, proline, alanine, asparagine, creatine, tryptophan, ornithine, and choline) with statistical significance between HOCM and HNCM, 3 AAs (Panel B; arginine, proline, and ornithine) were selected to differentiate the two subgroups. The AUC values in the training and validation sets for Panel B were 0.83 (0.74-0.93) and 0.82 (0.66-0.98), respectively. CONCLUSIONS The plasma AA and derivatives profiles were distinct between the HCM and NC groups. Based on the differential profiles, the two established screening models have potential value in assisting HCM screening and identifying whether it is obstructive.
Humans ; Amino Acids ; Cysteine ; Cardiomyopathy, Hypertrophic/diagnosis* ; Biomarkers ; Proline ; Arginine ; Ornithine ; Glycine ; Choline