The contents recorded in the rotation registration manual is not only the quantitative indicators for evaluating the quality of residency training, but also the important basis for training assessment and issuance of training certificates. In order to solve the problems of data authenticity, information delay, and repeated entry in the rotation registration manual for residency training, Shanghai East Hospital, Tongji University, launched a project to dock the electronic rotation registration manual with the hospital information system. Through the establishment of the project team, the development of working mechanisms, and the implementation of the project, data analysis was used for process reformation and system optimization, so as to continuously improve management efficiency and medical safety while solving problems and form a set of implementation system with reference significance in practice.

Objective:To understand the infection status, epidemiological characteristics and drug resistance of Diarrheagenic Escherichia coli (DEC) in Shanghai and provide evidence for the disease surveillance. Methods:The epidemiological data of diarrhea cases in Shanghai from 2016 to 2022 were collected from Shanghai Diarrhea Comprehensive Surveillance System, and stool samples were collected from the cases for DEC detection. The drug resistance data was obtained from Chinese Pathogen Identification Network. Statistical analysis was conducted by using χ2 and fisher test. Results:In 24 883 diarrhea cases detected during 2016-2022, the DEC positive rate was 9.13% (2 271/24 883), the single DEC positive rate was 8.83% (2 197/24 883) and the mixed DEC positive rate was 0.30% (74/24 883). The main type of DEC was Enterotoxigenic Escherichia coli (ETEC) [4.33% (1 077/24 883)]. The DEC positive rate was highest in people aged ≤5 years 18.48% (22/119). The annual peak of DEC positive rate was observed during July - September [5.91% (1 470/24 883)]. The DEC positive rate were 9.47% (554/5 847) and 9.02% (1 717/19 036) in urban area and in suburbs, respectively, Enteroaggregative Escherichia coli (EAEC) [3.98% (233/5 847)] and ETEC [4.56% (868/19 036)] were mainly detected. From 2016 to 2019, the DEC positive rate was 9.42% (1 821/19 330), while it was 8.10% (450/5 553) from 2020 to 2022, the main DEC types were ETEC (4.87%, 941/19 330) and EAEC (4.70%, 261/5 553). The multi-drug resistance rate was 40.21% (618/1 537). The top three antibiotics with high drug resistance rates were ampicillin [64.74% (995/1 537)], nalidixic acid [58.49% (899/1 537)] and tetracycline [45.09% (693/1 537)]. Conclusions:Compared with 2016- 2019, a decrease in DEC detection rate was observed during 2020-2022, and the main type of DEC detected shifted from ETEC to EAEC. The prevalence of multi-drug resistance was severe. Therefore, it is necessary to further strengthen the surveillance for DEC drug resistance and standardize the use of clinical antibiotics.

Objective·To systematically integrate relevant influencing factors of advanced cancer patients'engagement behavior in advance care planning(ACP).Methods·The systematic search of Chinese and English literature on factors influencing ACP engagement behavior in advanced cancer patients from inception to December 2022 in China National Knowledge Infrastructure(CNKI),Wanfang,China Biomedical Literature Database(Sinomed),PubMed,Cochrane Library,Embase,CINAHL,and PsycINFO was conducted.After the literature quality evaluation,content extraction and summary were conducted by two researchers,and the data of quantitative research and qualitative research were extracted and integrated respectively.The final influencing factors of ACP engagement behavior of advanced cancer patients were obtained.With the help of the theoretical domain,they were mapped to the capability,opportunity,motivation-behavior(COM-B)model step by step.Results·A total of 21 studies were included and 27 factors were summarized,including 9 theoretical domains.Mapping to the COM-B model included 9 capability factors(knowledge of ACP,education level,accurate knowledge of prognosis,knowledge of the time of disease diagnosis,prior experience,subjective life expectancy,age,cancer site,and disease symptom burden),13 opportunity factors(gender,marital status,race/ethnicity,religious belief,dependent children,family economic condition,place of living,housing type,family support,social support,doctor-patient relationship,acculturation,and whether or not to establish a hospice service center)and 5 motivational factors(ACP attitude,ACP belief,ACP motivation,anxiety and depression,and death attitude).Among them,doctor-patient relationship,religious belief,ACP attitude,educational level,marital status,family support,knowledge of ACP,accurate knowledge of prognosis,age,place of living,attitude toward death,prior experience,and race/ethnicity were more influential factors on ACP engagement behavior.Conclusion·Based on the COM-B model,the influencing factors of ACP engagement behavior in advanced cancer patients can be comprehensively summarized.Future studies can use the above factors as an entry point to design continuous,multifaceted,and comprehensive interventions based on the COM-B model to promote the practice of ACP engagement behavior in advanced cancer patients.

Enteropathogenic Escherichia coli(EPEC),a zoonotic foodborne pathogen,can induce severe and prolonged di-arrhea,thus substantially affecting global public health safety.To understand the pathogenicity of EPEC and its potential risk to human health,this study investigated the antimicrobial resistance and genome-wide characteristics of EPEC originating from ducks.After identification of EPEC with the plate method and PCR,antimicrobial susceptibility of the isolates was examined with the microbroth dilution method.In addition,analyses of serotype,sequence type(ST),and plasmid incompatibility groups were conducted with whole-genome sequencing(WGS)and bioinformatic methods.Ten EPEC isolates were identified,including serotypes O71∶H40 and O3∶H21.All EPEC strains exhibited multiple drug resistance.The highest proportion of resistance(100％)was observed to ciprofloxacin,streptomycin,tetracycline,and polymyxin B.In contrast,the isolates showed susceptibility to cefoxitin,amikacin,and imipenem.Furthermore,all strains carried the tetracycline resistance gene tet(A)and extended-spectrum β-lactamase(ESBL)resistance genes,including blaOXA-10,blaTEM-1A,and blaTEM-1B.Various virulence genes,associated primarily with the secretory system,were de-tected in the isolates.However,no bf p genes or per ARC genes were identified,thus indicating that the EPEC isolates were atypical EPEC(aEPEC).The results demonstrated the presence of multiple antimicrobial resistance,multiple resistance and viru-lence genes,and various plasmid incompatibility groups,thus in-dicating potential pathogenicity to humans.Strengthened monitoring of duck-derived EPEC is crucial to effectively control the spread of the pathogen and safeguard public health.

Objective:To investigate the efficacy and safety of a treatment regimen based on daratumumab in patients with high-risk relapsed refractory multiple myeloma(MM)with mSMART 3.0 score.Methods:Clinical data were collected from 16 patients with mSMART3.0 score high-risk relapsed refractory MM treated at the Affiliated Hospital of Shandong University of Traditional Chinese Medicine from May 2020 to May 2023,all of whom received daltezumab-based regimen(regimen drugs including dexamethasone,isazomib,bortezomib,lenalidomide).The efficacy and safety of the treatment were retrospectively analyzed.Results:The median age of 16 patients was 63.5(47-70)years old,including 10 cases of IgG type,2 cases of IgA type,and 4 cases of light chain type.The curative efficacy was judged in all 16 patients,with an overall response rate of 93.75％(15/16),including 4 cases of strict complete remission(sCR),1 case of complete remission(CR),2 case of very good partial remission(VGPR),partial remission(PR)in 5 cases,and minor remission(MR)in 3 cases.The median follow-up time was 11(2-30)months,and the median progression-free survival and median overall survival were not achieved in 16 patients at the median follow-up period.The hematologic adverse effects of the treatment regimen using daratumumab-based were mainly neutropenia,and the non-hematologic adverse effects were mainly infusion-related adverse reactions and infections.Conclusion:Daratumumab-based regimen for the treatment of relapsed refractory MM patients with high risk of mSMART3.0 score has better efficacy and safety.

Objective To explore the value of machine learning(ML)models based on non-contrast CT(NCCT)radiomics features for predicting the severity of acute phase traumatic brain injury(TBI).Methods Totally 600 TBI patients were retrospectively collected as observation group,other 65 TBI patients were taken as external validation set,while 50 TBI patients were prospectively enrolled as prospective validation set.Patients in observation group were divided into high-risk subgroup(n=240)and low-risk subgroup(n=360)according to Glasgow outcome scale(GOS)at discharge.The severity of acute phase TBI in observation group was assessed by doctor A and B with the same criteria,then an artificial model was established based on clinical and NCCT data at the time of first diagnosis using logistic regression(LR)method for predicting the severity of acute phase TBI.Patients in observation group were divided into training set(n=420,including 168 in high-risk subgroup and 252 in low-risk subgroup)and test set(n=180,including 72 in high-risk subgroup and 108 in low-risk subgroup)at the ratio of 7∶3.Based on NCCT of training set,radiomics features were extracted and selected,and LR,support vector machine(SVM),random forest(RF)and K-nearest neighbor(KNN)were used to establish 4 ML models.The efficacies of the above models were validated in test set,external validation set(including 34 cases of high-risk and 31 cases of low-risk TBI)and prospective validation set(including 21 cases of high-risk and 29 cases of low-risk TBI),respectively.Results The area under the curve(AUC)of doctor A and B for evaluating the severity of acute phase TBI in observation group was 0.606 and 0.771,respectively,of artificial model was 0.824.Based on NCCT in training set,6 optimal radiomics features were selected to construct LR,SVM,RF and KNN ML models,with AUC of 0.983,0.971,0.970 and 0.984 in test set,respectively,while the AUC of artificial model was 0.708.The AUC of LR,SVM,RF,KNN ML models and artificial model in external validation set was 0.879,0.881,0.984,0.863 and 0.733,while in prospective validation set was 0.984,0.873,0.982,0.897 and 0.704,respectively.Conclusion ML models based on CT radiomics could effectively predict the severity of acute phase TBI.

Patients with severe trauma require an extremely timely treatment and transfusion plays an irreplaceable role in the emergency treatment of such patients. An increasing number of evidence-based medicinal evidences and clinical practices suggest that patients with severe traumatic bleeding benefit from early transfusion of low-titer group O whole blood or hemostatic resuscitation with red blood cells, plasma and platelet of a balanced ratio. However, the current domestic mode of blood supply cannot fully meet the requirements of timely and effective blood transfusion for emergency treatment of patients with severe trauma in clinical practice. In order to solve the key problems in blood supply and blood transfusion strategies for emergency treatment of severe trauma, Branch of Clinical Transfusion Medicine of Chinese Medical Association, Group for Trauma Emergency Care and Multiple Injuries of Trauma Branch of Chinese Medical Association, Young Scholar Group of Disaster Medicine Branch of Chinese Medical Association organized domestic experts of blood transfusion medicine and trauma treatment to jointly formulate Chinese expert consensus on blood support mode and blood transfusion strategies for emergency treatment of severe trauma patients ( version 2024). Based on the evidence-based medical evidence and Delphi method of expert consultation and voting, 10 recommendations were put forward from two aspects of blood support mode and transfusion strategies, aiming to provide a reference for transfusion resuscitation in the emergency treatment of severe trauma and further improve the success rate of treatment of patients with severe trauma.

As artificial intelligence technology rapidly advances, its deployment within the medical sector presents substantial ethical challenges. Consequently, it becomes crucial to create a standardized, transparent, and secure framework for processing medical data. This includes setting the ethical boundaries for medical artificial intelligence and safeguarding both patient rights and data integrity. This consensus governs every facet of medical data handling through artificial intelligence, encompassing data gathering, processing, storage, transmission, utilization, and sharing. Its purpose is to ensure the management of medical data adheres to ethical standards and legal requirements, while safeguarding patient privacy and data security. Concurrently, the principles of compliance with the law, patient privacy respect, patient interest protection, and safety and reliability are underscored. Key issues such as informed consent, data usage, intellectual property protection, conflict of interest, and benefit sharing are examined in depth. The enactment of this expert consensus is intended to foster the profound integration and sustainable advancement of artificial intelligence within the medical domain, while simultaneously ensuring that artificial intelligence adheres strictly to the relevant ethical norms and legal frameworks during the processing of medical data.
Artificial Intelligence/legislation & jurisprudence* ; Humans ; Consensus ; Computer Security/standards* ; Confidentiality/ethics* ; Informed Consent/ethics*

Objective: To propose reasonable suggestions to promote the standardization of clinical studies by reviewing the systematic reviews and meta-analyses of acupuncture-moxibustion treatment of essential hypertension (EH). Methods: Computer retrieval was conducted through Excerpta Medica Database (EMBASE), PubMed, China National Knowledge Infrastructure (CNKI), Chongqing VIP Database (CQVIP), China Biology Medicine Disc (CBM), and Wanfang Academic Journal Full-text Database (Wanfang) to collect systematic reviews and meta-analyses relevant to treating EH with acupuncture-moxibustion therapy. The time range was from the database's inception till July, 2020. The studies were screened based on the inclusion and exclusion criteria and then data-extracted. The study's quality and evidence ratings were performed by referring to the preferred reporting items for systematic review and meta-analysis (PRISMA), a measurement tool to assess systematic reviews 2 (AMSTAR 2), and the grading of recommendations, assessment, development, and evaluation (GRADE). Results: A total of 14 studies, 10 in Chinese and 4 in English, published between 2012 and 2019, were included, involving 70 outcome measures. The methodological quality was rated as critically low, the reporting was relatively complete or had certain flaws, and the evidence strength was rated as low or very low. Conclusion: Regarding the acupuncture-moxibustion treatment of EH, the methodological quality and outcome measure evidence of existing systematic reviews and meta-analyses are relatively low, and the reporting quality also expects further improvements.

This study aimed to investigate the effects of Erxian Decoction(EXD)-containing serum on the proliferation and osteogenic differentiation of MC3T3-E1 cells under oxidative stress through BK channels. The oxidative stress model was induced in MC3T3-E1 cells by H_2O_2, and 3 mmol·L~(-1) tetraethylammonium(TEA) chloride was used to block the BK channels in MC3T3-E1 cells. MC3T3-E1 cells were divided into a control group, a model group, an EXD group, a TEA group, and a TEA+EXD group. After MC3T3-E1 cells were treated with corresponding drugs for 2 days, 700 μmol·L~(-1) H_2O_2 was added for treatment for another 2 hours. CCK-8 assay was used to detect cell proliferation activity. The alkaline phosphatase(ALP) assay kit was used to detect the ALP activity of cells. Western blot and real-time fluorescence-based quantitative PCR(RT-qPCR) were used to detect protein and mRNA expression, respectively. Alizarin red staining was used to detect the mineralization area of osteoblasts. The results showed that compared with the control group, the model group showed significantly blunted cell proliferation activity and ALP activity, reduced expression of BK channel α subunit(BKα), collagen Ⅰ(COL1), bone morphogenetic protein 2(BMP2), osteoprotegerin(OPG), and phosphorylated Akt, decreased mRNA expression levels of Runt-related transcription factor 2(RUNX2), BMP2, and OPG, and declining area of calcium nodules. EXD-containing serum could significantly potentiate the cell proliferation activity and ALP activity, up-regulate the protein expression of BKα, COL1, BMP2, OPG, and phosphorylated Akt, and forkhead box protein O1(FoxO1), promote the mRNA expression of RUNX2, BMP2, and OPG, and enlarge the area of calcium nodules. However, BK channel blockage by TEA reversed the effects of EXD-containing serum in promoting the protein expression of BKα, COL1, BMP2, OPG, and phosphorylated Akt and FoxO1, increasing the mRNA expression of RUNX2, BMP2, and OPG, and enlarging the area of calcium nodules. EXD-containing serum could improve the proliferation activity, osteogenic differentiation, and mineralization ability of MC3T3-E1 cells under oxidative stress, which might be related to the regulation of BK channels and downstream Akt/FoxO1 signaling pathway.
Osteogenesis ; Core Binding Factor Alpha 1 Subunit/pharmacology* ; Large-Conductance Calcium-Activated Potassium Channels/pharmacology* ; Proto-Oncogene Proteins c-akt/metabolism* ; Calcium/metabolism* ; Cell Differentiation ; RNA, Messenger/metabolism* ; Cell Proliferation ; Osteoblasts