OBJECTIVE To explore the transformation of the dispensing and drug pickup process in traditional Chinese medicine pharmacy （TCM Pharmacy） in our hospital based on data-intelligence-driven， aiming to improve pharmacists’ work efficiency and patients’ drug pickup experience. METHODS Value stream mapping and journey mapping were used to systematically identify non-value-added links in pharmacists’ dispensing process and key pain points in patients’ drug pickup under the traditional process. An intelligent dispensing and drug pickup system for the TCM Pharmacy was developed based on the C# and Android television platforms， and a machine-learning model was adopted to predict patients’ drug pickup waiting time. A comprehensive evaluation was performed from three perspectives： system performance， prediction accuracy， and satisfaction of pharmacists and patients. RESULTS The system successfully streamlined non-value-added links such as “waiting for writing on the board” and “searching for drugs”， and realized multimodal dynamic prompts of dispensing status through auditory （number calling） and visual （television terminal） channels. The constructed model for predicting drug pickup waiting time exhibited good fitting degree and generalization ability （mean absolute error＝4.28 min， R 2 ＝0.882）. The comprehensive satisfaction scores of pharmacists and patients in the traditional mode were significantly increased from （70.99±1.74） and （73.58±1.98） to （90.02±1.30） and （88.61±2.08） in the new system， respectively （ P ＜0.01）. CONCLUSIONS The transformation of the intelligent drug dispensing and pickup system for TCM pharmacy based on data-intelligence-driven effectively improves the efficiency of pharmacists’ dispensing work， realizes process transparency and waiting time predictability， and significantly enhances patients’ drug pickup experience.

Since the founding of the People’s Republic of China, remarkable achievements have been gained in infectious disease prevention and control, and rich practical experiences have been accumulated. If these experiences are shared with developing countries, it will greatly contribute to global infectious disease control and global health security. Under the framework of Forum on China-Africa Cooperation, a series of China-Africa public health capacity training programs have been recently held in China, in order to help improve the capability of infectious disease control in African countries. This article summarized and refined good design concepts and practices from these programs, so as to provide insights into sustainable optimization of China-Africa public health capacity training and improvements of the training effectiveness.

ObjectiveTo obtain the epidemiological characteristics of re-positive cases infected with SARS-CoV-2 in Pudong New Area from March to July 2022, including clinical manifestations, duration of a negative nucleic acid conversion after tested for re-positive, and length of time from the discharge of the initial infection to the most recent re-positivity, so as to provide a scientific basis for the prevention and control of COVID-19. MethodsA questionnaire survey was conducted among the re-positive cases infected with SARS-CoV-2 after discharged from hospital/quarantine facility in Pudong New Area, and descriptive epidemiological methods were used for characteristics analysis. ResultsA total of 2 422 re-positive cases met the inclusive and exclusive criteria, with males accounting for 61.02%. The age distribution mainly fell between 18 and <60 years old, accounting for 62.39%. Clinical manifestations were predominantly asymptomatic (72.15%), followed by cough (12.03%) and sore throat (6.58%). Among the stratified randomized sample of 416 individuals, there were statistically significant differences in symptoms (χ²=262.667, P<0.001), clinical typing (χ²=12.996, P=0.001), and duration of a negative nucleic acid conversion (χ²=142.578, P<0.001) between the initial positive and re-positive instances. Besides, statistically significant differences in symptoms (χ²=13.696, P=0.016) and self-perception of the severity of re-infection (χ²=7.923, P=0.048) between the initial and re-positive cases were observed by different genders. ConclusionAmong re-positive cases, males experienced milder symptoms compared to females, and the self-perception of symptoms during re-positivity is milder than that in the initial positive infection. The length of time for negative nucleic acid conversion during the initial positive period is shorter than that during the re-positive period.

Objective The sample hospital is currently in the exploration stage of creating patient satisfaction service un-der the one-hospital and multi-district management mode.In order to improve the overall feeling of patients in the process of hos-pital treatment,the application effect of the existing all-round full-cycle patient service intelligent management platform in the hos-pital is quantitatively evaluated,so as to better improve the service mode.Methods A survey was conducted to collect satisfac-tion data from two groups:the experimental group,which utilized the comprehensive and full-cycle patient service intelligent man-agement platform for diagnosis and treatment services,and the control group,which followed the conventional patient admission and discharge process.The work efficiency number was obtained and calculated through the background of the system,including the average time to handle hospitalization procedures,the average waiting time for examination,the average time to handle dis-charge procedures,the time spent on each follow-up visit and the response rate of follow-up patients.The data were analyzed sta-tistically.Results The work efficiency of the experimental group was significantly better than that of the control group,and the satisfaction of hospitalized patients and staff was higher than that of the control group.Conclusion The application of the com-prehensive and full-cycle patient service intelligent management platform can improve the satisfaction of patients and staff,opti-mize the efficiency of treatment,and better serve the management mode of one hospital and multiple districts.

Objective Using network pharmacology research methods and animal pharmacology experiments,explore the mechanism of antidepressant effects of traditional Chinese medicine Citron and Bergamot.Methods Using the Traditional Chinese Medicine System Pharmacology Database and Analysis Platform(TCMSP),ETCM,Symmap,Swiss Target Prediction,and Uniprot data platforms,screen the active ingredients and corresponding gene targets of Citron and Bergamot.Obtain depression gene targets using OMIM,TTD,and Cenecards data platforms.Using Venny 2.1 online software,draw Venn diagrams of the intersection of active ingredients and gene targets.Draw network diagrams between drugs,active ingredients,targets,and diseases using Cytoscape 3.7.2 software.Construct a protein-protein interaction(PPI)network diagram using the STRING data platform for intersecting genes.Using the Metascape data platform,perform gene ontology(GO)function and Kyoto Encyclopedia of Genesand and Genomes(KEGG)pathway enrichment analysis.A rat depression model was established using chronic unpredictable mild stress(CUMS)combined with solitary care,and animal experiments were conducted to verify the BDNF/TrkB/CREB signaling pathway obtained from network pharmacology research.Results The research results of network pharmacology methods show that there are 57 antidepressant active ingredients in Citron,65 antidepressant active ingredients in Bergamot,and important active ingredients include Acetic acid,3,4,7-trimethoxycoumarin and Citric acid,etc.Through the data platform,2717 depression targets and 430 intersection targets were identified.Through PPI network analysis,key gene targets for antidepressant effects in Citron and Bergamot were identified,including TP53,Protein kinase B1,CREB-binding protein,Brain derived neurotrophic factor,etc.Through KEGG analysis,it was found that important signaling pathways include pathways in cancer,PI3K-Akt signaling pathway,Neurotrophin signaling pathway,etc.By observing the neurotrophic factor BDNF/TrkB/CREB signaling pathway in depressed rats,the results showed that the medium dose groups of Citron and Bergamot could significantly increase serum BDNF content(P<0.05),and each treatment group could improve the damage of hippocampal neurons in rats.The high and medium dose groups of Citron and Bergamot significantly increased the expression of BDNF protein in the hippocampal CA1 region(P<0.05,P<0.01).Except for the low-dose group,which showed no difference in TrkB mRNA gene expression,all other treatment groups significantly increased the mRNA gene expression levels of hippocampal BDNF,TrkB and CREB(P<0.01).The medium dose group of Citron and Bergamot increased the expression of BDNF protein in the hippocampus(P<0.01),while the medium and low dose groups significantly increased the relative expression of TrkB protein in the hippocampus(P<0.05).The medium dose group showed an increasing trend in the relative expression of CREB protein.Conclusion Traditional Chinese medicine Citron and Bergamot have therapeutic effects on depression models in rats,and the mechanism of action may be related to the BDNF/TrkB/CREB signaling pathway.

OBJECTIVE To observe the isolation rates and drug resistance rates of Acinetobacter baumannii strains isolated from intensive care unit(ICU)patients in 8 consecutive years so as to provide bases for reasonable clinical application of antibiotics and control of infections.METHODS The isolation rates and specimens from which the A.baumannii and carbapenem-resistant A.baumannii(CRAB)strains were isolated from ICU patients of the First People's Hospital of Changzhou between 2017 and 2024 were retrospectively analyzed.The trends of the drug resistance rates were observed.RESULTS Totally 2078(18.03％)strains of A.baumannii were isolated from the ICU patients from 2017 to 2024,and there was no significant difference in the changing trend among the years(x2=-1.573,P=0.116).Among the A.baumannii strains that were isolated from 2017 to 2024,58.08％were isolated from sputum,and 24.25％from lavage fluid specimens;the percentage of sputum specimens showed a downward trend in the 8 years(x2=-8.257,P＜0.001),while the percentage of lavage fluid speci-mens showed an upward trend(x2=12.964,P＜0.001).The isolation rate of the CRAB strains was 91.48％in 2017,92.61％in 2018,92.56％in 2019,82.53％in 2020,52.44％in 2021,showing a down-ward trend,and it began to rise in 2022-2024,there was significant difference(x2=-2.277,P=0.012).The isolation rates of the CRAB strains from both sputum and lavage fluid specimens showed downward trends and then upward trends(all P＜0.05).The drug resistance rates of the A.baumannii strains to piperacillin and minocycline showed slow upward trends,while the drug resistance rates to gentamicin and tigecycline showed downward trends,and there were significant differences(P＜0.05).The drug resistance rates of the A.bau-mannii strains to imipenem and meropenem remained more than 90％.CONCLUSIONS Acinetobacter spp is the major pathogen causing the hospital-acquired infection.The isolation rate of CRAB strains shows a downward trend then a upward trend in recent two years.It is necessary for the hospital to standardize the submission of spu-tum specimens and increase the aseptic submission.The A.baumannii strains show high drug resistance rates to the commonly used antibiotics.Polymyxin B,tigecycline and minocycline are the major antibiotics for treatment of CRAB infection.

Objective To understand the economic losses due to healthcare-associated infection(HAI)in patients after Da Vinci robotic thoracic surgery,and provide basis for preventing and controlling HAI after robotic surgery.Methods Patients who underwent Da Vinci robotic surgery from April 2019 to April 2023 were retrospective stu-died.Patients were divided into HAI group and non-HAI group based on the occurrence of postoperative infection.Through 1∶1 propensity score matching(PSM),31 cases were included in each group,economic losses of two groups of patients were compared.Results A total of 921 patients who underwent Da Vinci robotic thoracic surgery were included in the study,51 cases with HAI(HAI group)and 870 without HAI(non-HAI group).After 1∶1 PSM,31 cases were included in each group.Four covariates were compared between two groups of patients before PSM,namely gender,age,comorbidities,and the American Society of Anesthesiologists(ASA)grading,all with statistically significant differences(all P＜0.05).After PSM,distribution of the above covariates reached equilib-rium between the two groups(both P＞0.05).The median total expense for HAI group before PSM during hospi-talization was 88 711.72 Yuan,while 78 509.46 Yuan for the non-HAI group.The direct economic losses caused by HAI after Da Vinci robot surgery was 10 202.26 Yuan,mainly increased by expense of medicine,nursing,laborato-ry diagnosis,etc.Difference in western medicine expense was the highest(8 839.12 Yuan),out of which expense of antimicrobial agents accounted for the highest proportion(73.55％).Difference in daily hospitalization expense between HAI-group and non-HAI group was 502.38 Yuan.Length of hospital stay of patients in HAI group and non-HAI group were(21.59±10.62)and(13.92±9.21)days,respectively,with statistical differences(all P＜0.05).Conclusion The occurrence of HAI in patients undergoing Da Vinci robotic thoracic surgery leads to direct economic losses,with obvious increases in expenses of nursing,laboratory diagnosis,western medicine(mainly an-timicrobial agents).Length of hospital stay of patients also prolongs.

Objective:To develop a journey map for health management of patients with disability caused by accidental trauma from the social ecosystem theory perspective, so as to gain deeper insights into their actual needs during medical treatment and rehabilitation.Methods:The descriptive qualitative research was adopted. Purposeful sampling was employed to select patients with disability caused by accidental trauma admitted to the Trauma Center of the Department of Emergency and Critical Care Medicine at the First Affiliated Hospital with Nanjing Medical University between April and May 2024 for semi-structured interviews. Traditional content analysis method was employed to analyze the interview data.Results:From three dimensions of microsystem, mesosystem, and macrosystem, the needs and potential issues of medical treatment at different stages of the health management process for patients with disability caused by accidental trauma were analyzed, forming a patient journey map.Conclusions:Patients with disability caused by accidental trauma face prolonged periods of medical treatment, rehabilitation, and lifestyle readjustment, imposing significant burdens on themselves, their caregivers, and their families. Healthcare providers may proactively engage with patients based on their current and potential issues and needs, offer specialized guidance at critical junctures and meet the need of patients for continuity of care, thereby improving patients' quality of life and overall health outcomes.

AIM:To investigate the antitumor activity and targets of baicalein(Bai)in pancreatic cancer using network pharmacology combined with in vitro and in vivo experiments.METHODS:The targets of Bai and pancreatic can-cer were analyzed via multi-data screening.A protein-protein interaction network was constructed using STRING,and core targets were identified via Cytoscape.Functional enrichment was analyzed by Gene Ontology(GO)and Kyoto Ency-clopedia of Genes and Genomes(KEGG).Antitumor effects of Bai were assessed in pancreatic cancer cells Aspc-1 and Bxpc-3 using MTT and colony formation assays for proliferation,flow cytometry for apoptosis and cell cycle analysis,and Transwell assays for migration and invasion.A xenograft tumor model was established to evaluate tumor proliferation,im-munohistochemistry was performed to detect the protein expression of AKT in tumor tissues,and Western blot was used to analyze the expression levels of AKT,β-catenin,N-cadherin and Slug.RESULTS:A total of 108 overlapping targets were identified between Bai and pancreatic cancer.Among these,7 core targets were recognized,including proto-onco-gene tyrosine-protein kinase Src,heat shock protein 90 alpha family class A member 1(HSP90AA1),estrogen receptor 1(ESR1),tumor protein p53(TP53),epidermal growth factor receptor(EGFR),AKT1,and mitogen-activated protein ki-nase 3(MAPK3).The GO analysis revealed significant enrichment in oxidative stress response,protein phosphorylation,and serine/threonine kinase activity.The KEGG analysis primarily enriched the PI3K/AKT,MAPK and Ras signaling pathways.The MTT and colony formation assays showed that Bai inhibited the viability of Aspc-1 and Bxpc-3 cells in a dose-dependent manner(72 h IC50 values were 73.6 μmol/L and 83.4 μmol/L,respectively)and reduced cell colony for-mation(P<0.05 or P<0.01).Flow cytometry confirmed that Bai induced apoptosis of Aspc-1 and Bxpc-3 cells(P<0.01)and blocked the cell cycle at the G0/G1 phase(P<0.05 or P<0.01).Transwell experiments indicated that Bai inhibited the migration and invasion of Aspc-1 and Bxpc-3 cells(P<0.05 or P<0.01).In vivo,Bai significantly inhibited the growth of Aspc-1 cell xenograft tumors(P<0.01).Immunohistochemistry revealed a significant reduction in AKT expression in tu-mor tissues(P<0.01),and Western blot showed decreased expression of AKT,β-catenin,N-cadherin and Slug in both Aspc-1 and Bxpc-3 cells(P<0.01).CONCLUSION:Baicalein inhibits pancreatic cancer cell proliferation,migration,and invasion,potentially through down-regulation of AKT,β-catenin,N-cadherin,and Slug expression.

Objective:To retrieve and integrate the best evidence on foot offloading management for diabetic high-risk foot patients, and to provide evidence-based basis for effectively preventing the occurrence and development of diabetic foot ulcers.Methods:Clinical practice guidelines, evidence summaries, systematic reviews and expert consensus on the management of foot offloading at high risk of diabetes were searched in Chinese and English databases, domestic and foreign diabetes association websites, clinical decision websites and guideline websites, retrieval time for libraries to March 31, 2024, respectively, by the 2 researchers quality evaluation, evidence extraction, the final summary.Results:A total of 16 articles were included, including 6 guidesline, 5 expert consensuses, 1 evidence summary and 4 systematic reviews. According to the existing evidence, the best evidence of foot offloading management in patients with diabetic high-risk foot was summarized from 6 aspects: evaluation, monitoring, referral, offloading brace, exercise advice and risk factor intervention, 14 subcategories, 32 best evidences for foot offloading management in patients with high-risk diabetic foot.Conclusions:This study summarized the best evidence for foot offloading management in patients with high-risk of diabetic foot, which is convenient for the further development of clinical practice of foot offloading management in patients with high-risk of diabetes, and provides evidence-based basis for clinical medical staff to expand related research.