Pancreaticobiliary maljunction （PBM） is a rare congenital developmental defect of the biliary-pancreatic system characterized by a junction of the pancreatic and bile ducts outside the duodenal wall， forming an extended common channel. This anatomical anomaly compromises the normal function of Oddi’s sphincter， weakens defenses against reflux， and thus triggers a series of biliary and pancreatic complications. Although there is a relatively low incidence rate of PBM， its insidious clinical symptoms often lead to delayed diagnosis， which increases the difficulties in treatment and the risk of poor prognosis. For PBM patients with marked bile duct dilatation， surgical intervention， especially cholecystectomy combined with extrahepatic bile duct resection and bile duct-jejunum Roux-en-Y anastomosis， remains the standard treatment at present. For PBM without marked bile duct dilatation， there are still controversies over related treatment strategies， and most experts are in favor of cholecystectomy， while there is still a lack of consensus on the management of extrahepatic bile ducts， which requires further research and exploration. Endoscopic retrograde cholangiopancreatography （ERCP） is currently the gold standard for diagnosing PBM and assessing pancreaticobiliary abnormalities， and it can not only clarify the nature of lesion， but also collect the bile and biliary duct tissue for pathological examination. ERCP also has the function of interventional treatment， such as stenting， expansion， and drainage， thereby bringing benefits to patients comorbid with biliary neoplasms. However， the application of ERCP in screening is limited by its invasiveness， with increases in technique complexity and the risk of complications in the pediatric population. This article summarizes the definition， classification， pathogenesis， and epidemiological features of PBM and the research advances in current diagnosis and treatment strategies， in order to provide guidance for clinical practice.

Objective To explore the quality markers of Puerariae Lobatue Radix;To predict its"efficacy component group"with alcohol detoxification and liver protection effects.Methods Fingerprints of 26 batches of Puerariae Lobatue Radix samples from different origins in China was established.Multivariate statistical analysis was employed to identify quality markers,while network pharmacology and molecular docking were used to predict the potential"efficacy component group".Results UPLC fingerprint analysis calibrated 11 common peaks.Clustering analysis classified 26 batches of samples into 3 categories,and 7 quality markers were ultimately screened through multivariate statistical analysis,including mirificin,puerarin,puerarin-6''-O-xyloside,3'-methoxypuerarin,ononin,genistin and daidzin.Network pharmacology revealed that all 7 markers interacted with targets related to alcohol-associated liver disease,identifying 19 core targets such as TNF,CASP3,BCL2,MMP9,IL2,and 93 signaling pathways involving IL-17 and PI3K-Akt signaling pathways.Molecular docking demonstrated strong binding affinity between the 7 markers and target proteins,with binding energies<-5 kcal/mol.Conclusion The"efficacy component group",main targets and signaling pathways predicted in this study can provide support for the research on the mechanism,material basis and quality control of the alcohol detoxification and liver protection effects of Puerariae Lobatue Radix.

Objective To review the application scope of risk communication based on eHealth technology in the primary prevention of cardiovascular diseases,so as to provide references for future research and application.Methods A systematic search was conducted in PubMed,Cochrane Library,Embase,Web of Science,CINAHL,PsycINFO,CNKI,Wanfang database,and SinoMed.The search time limit was from the establishment of databases to March 1,2024.The included literature was summarized and analyzed.Results A total of 24 articles were included.The forms of eHealth technology applied in risk communication for primary prevention of cardiovascular include online websites,computerized decision support systems,electronic health records,mobile applications,email,telephone,and text messages.The functions include risk assessment,risk notification,personalized advice,risk tracking and reminders.The outcome indicators include risk perception,physiological indicators,lifestyle and behavior,psychological indicators,feasibility evaluation,decision correlation,doctor-patient communication,intention,risk score,and physician drug prescription.Conclusion The use of eHealth technology in risk communication of cardiovascular diseases has potential value in improving patients'risk perception and promoting healthy behaviors.It is necessary to continuously improve the functions of eHealth technology and enhance its precision and intelligence,so as to better meet the needs of medical staff and patients and promote the efficient implementation of primary prevention of cardiovascular diseases.

Objective:To assess the fall risk of hospitalized patients with cardiovascular diseases, analyze the related influencing factors, and construct a prediction model based on machine learning technology, so as to provide a basis for the fall management of hospitalized patients with cardiovascular diseases.Methods:This study was a retrospective cohort study. A total of 450 patients admitted to the Department of Cardiology, the First Affiliated Hospital of Nanjing Medical University from June 2017 to June 2024 were selected as the research objects by convenience sampling method. By reviewing electronic medical records, trained nurses extracted the patients' general information and Activities of Daily Living Scale (ADL) scores during hospitalization. Lasso regression was used to screen risk factors, and machine learning libraries were used to construct support vector machine (SVM), decision tree, XGBoost, and neural network models. Bootstrap resampling method and area under the curve (AUC) were used to verify the model performance.Results:Among the 450 patients, there were 261 males and 189 females, with a mean age of (66.0 ± 8.4) years. Among them, 90 patients fell during hospitalization and 360 patients did not fall. The results of Lasso regression showed that ADL score ≤60 points, use of hypnotics, hypokalemia, nighttime toilet visits≥2 times, use of antihypertensive drugs, no caregiver, and history of atrial fibrillation were all risk factors for falls in hospitalized patients with cardiovascular diseases (regression coefficients ranging from 0.61 to 1.20, all P<0.01). Among the machine learning models, XGBoost had the best comprehensive performance (AUC=0.98), which was better than decision tree (AUC=0.66), SVM (AUC=0.95), and neural network (AUC=0.87). Conclusions:The fall risk of hospitalized patients with cardiovascular diseases is jointly affected by physiological, medication and behavioral factors, and the XGBoost model can effectively identify high-risk groups. In actual clinical work, nursing strategies can be optimized in combination with risk factors, and the application of intelligent fall prediction and assessment tools can be promoted.

As the core force in medical services,healthcare professionals are key stakeholders in implementing the Healthy China strategy,strengthening public health awareness,and improving national health literacy.They must actively shoul-der the social responsibility of science communication.In the face of the rising mortality rate of coronary heart disease(CHD),they are obligated to scientifically disseminate relevant health knowledge to the public.This article takes the Fifth Internal Medi-cine Party Branch of the Second Clinical General Party Branch at Guangdong Provincial Hospital of Traditional Chinese Medicine(Dade Road Main Campus)as a typical case to explore how Party building can create the"Heart-Shaping"science popularization brand for CHD.The Party branch plays a leading and exemplary role by organizing resources and uniting Party members.Through cross-media integration,innovative content formats,and other methods,it fosters a strong atmosphere of science popularization under Party leadership,encouraging medical staff to break away from tradition and pioneer a diversified model of CHD science communication,successfully establishing the"Heart-Shaping"brand.Additionally,it meticulously cultivates a professional sci-ence communication team,achieving synergistic progress in both Party building and CHD science popularization.This provides replicable and practical innovative experience for Party building-driven CHD science communication,highlighting the unique ad-vantages of Party building in enhancing the effectiveness of CHD science popularization and promoting the integration of Party work and professional services.

Objective:To systematically review the progress in the method development and application of distributed learning in the estimation of epidemiological effect and provide methodological reference for multi-center studies.Methods:We conducted a literature retrieval for English papers published up to December 31, 2023 by using keywords of "health/medical big data" and "distributed/federated learning". After consulting experts, we set criteria of paper inclusion and exclusion and created a framework for data extraction. We collected information about basic study details, including method, application, and evaluation. Two researchers independently screened the papers and extracted information. We used EndNote 20 for the management of literatures and EpiData for the management of data.Results:A total of 3 444 papers were collected, and 29 papers were included in the final analysis. Most of the papers (25, 86.2%) were published in or after 2019, and the papers were mainly from the United States (21/29, 72.4%). For the estimation of epidemiological effects, 22 distributed learning methods had been developed, including methods for logistic regression (8), Cox regression (8), Poisson regression (2), and generalized linear mixed model (GLMM) (4), as well as three platforms for distributed analysis (VLP, Vantage6, AusCAT). The 29 papers described 45 applications, with 20 (44.4%) focusing on the establishment of prediction model and 25 (55.6%) on association analysis. Importantly, except for GLMM, current distributed learning methods can estimate effects with little bias in 1-3 rounds of communication. These methods show less bias compared with meta-analysis, especially in the address of data heterogeneity and rare outcomes. However, less studies examined how differences in data structure and sparse data affect results, an area that requires further research.Conclusion:While distributed learning shows promise in epidemiological effect estimation, it is still in early development, requiring further research on data heterogeneity handling and communication efficiency improvement.

Objective:To summarize the best evidence for frailty management in patients undergoing postoperative chemotherapy for gastric cancer, so as to provide reference for alleviating patient frailty.Methods:Guidelines, expert consensus, evidence summaries, systematic reviews, and randomized controlled trials and other articles on the frailty management of patients with postoperative chemotherapy for gastric cancer were electronically searched in computerized decision-making systems such as UpToDate, BMJ Best Practice, and Guidelines International Network, in comprehensive databases such as PubMed, Embase, and Web of Science, and in the websites of professional societies. The search period was from database establishment to September 15, 2024. Two researchers independently screened the literature and evaluated the quality of the included literature, combining professional judgment to extract and summarize the best evidence.Results:A total of 18 papers were included, including two clinical decisions, one evidence summary, eight guidelines, two expert consensus, one systematic review, one randomized controlled trial, two quasi-experimental studies, and one observational study. The best evidence included a total of 34 pieces in seven aspects of comprehensive screening, nursing plan construction, preoperative prehabilitation, nutritional interventions, Chinese medicine interventions, exercise interventions, and psychological interventions for frailty.Conclusions:The summary of the best evidence for frailty management in patients undergoing postoperative chemotherapy for gastric cancer may provide an evidence-based basis for frailty interventions by clinical medical and staff.

Home-based self-management can effectively improve functional status and slow disease progression in patients with stroke. Modern information technology has brought new opportunities for enhancing stroke self-management at home. This review summarizes the current application of modern information technologies-including artificial intelligence, mobile devices, virtual reality, and the Internet of Things-in home-based self-management for stroke patients. Based on this, the review further discusses the challenges and opportunities associated with applying these technologies, aiming to provide a reference for promoting their broader implementation in stroke patient self-management.

Blood-bi-syndrome is primarily characterized by localized numbness and mild pain in the limbs.Records about the diagnosis and treatment of blood-bi-syndrome are scattered throughout classical medical literature.According to the theory of Yindan and Yangdan formulas in the classical prescription system,when the body's ascending function of qi movement is insufficiency,Yangdan formulas which contain Astragali Radix can be used for warming and uplifting yang qi.Conversely,when the descending function of qi movement is insufficiency,Yindan formulas which contain containing Bupleuri Radix can be used for astringing,descending,clearing and purging.This article,based on the principles of Yindan and Yangdan formulas,analyzed the fundamental pathogenesis of blood-bi-syndrome developing from the transmission of superficial syndromes,as well as its clinical manifestations during the transmission and change between taiyin disease and yangming disease.And the therapeutic strategies for blood-bi-syndrome were also summarized.It is proposed that taiyin blood-bi-syndrome arises in individuals with constitutionally deficient cold after the attack of pathogenic factors,resulting from fluid depletion,blood insufficiency,and stomach deficiency,which should be treated by Yangdan Formulas with pungent-sweet-warm properties for warming and uplifting yang qi.For the treatment of patients with taiyin blood-bi-syndrome characterized by exterior syndrome,Astragali Radix-containing classical prescriptions like Astragali Radix and Cinnamomi Ramulus Five-Component Decoction(Huangqi Guizhi Wuwu Decoction)can be chosen;for the treatment of patients with taiyin blood-bi-syndrome characterized by interior syndrome,Zingiberis Rhizoma Recens-containing classical prescriptions like Citri Reticulatae Pericarpium and Bambusae Caulis in Taenia Decoction(Jupi Zhuru Decoction)is adopted.Conversely,yangming blood-bi-syndrome occurs in individuals with constitutionally excessive heat after the attack of pathogenic factors,resulting from the internal accumulation of blood stasis and heat and the impairment of the fluid and blood,which should be treated by Yindan Formulas with pungent-sweet-cold or sour-cold properties for astringing,descending,clearing and purging.For the treatment of patients with yangming blood-bi-syndrome characterized by exterior syndrome,Puerariae Lobatae Radix-containing classical prescriptions like Phyllostachydis Henonis Folium and Puerariae Lobatae Radix Decoction(Zhuye Gegen Decoction)can be used;for the treatment of patients with yangming blood-bi-syndrome characterized by interior syndrome,Paeoniae Radix Alba-containing classical prescriptions like Rhei Radix et Rhizoma and Eupolyphaga seu Steleophaga Decoction(Dahuang Zhechong Wan)is recommended.

Objective To identify mechanisms regulating disease progression in rat models of pulmonary arterial hy-pertension(PAH).Methods Rat PAH models were established using subcutaneous monocrotaline(MCT)injec-tion and the SU5416/hypoxia(SU/Hx)method.Transcriptomic sequencing of lung tissues was performed to identify gene expression and pathway alterations in PAH rats,followed by a comparative analysis with transcriptomic data of patients with idiopathic pulmonary arterial hypertension(IPAH)in NCBI database.Results Inflammatory-related genes such as CXCL9,CCL24,and SECTM1 were upregulated in both PAH rat models and IPAH patient lungs,while genes such as DGKG and DOCK9 were downregulated(P＜0.05).Pathways related to endothelial cell proliferation regulation and extracellular matrix(ECM)remodeling were significantly upregulated(P＜0.05).Conclusions The imbalance in endothelial cell proliferation and abnormal ECM remodeling may collectively contribute to PAH pathogenesis.Further exploration of these signaling pathways may provide deep in-sights for early diagnosis and targeted therapy of PAH.