Pancreatic cancer is a highly malignant solid tumor of the digestive system with extremely poor treatment prognosis. Although its incidence rate is low， its mortality rate is extremely high. In recent years， the number of diagnosed cases worldwide has continued to rise， making pancreatic cancer the sixth leading cause of cancer-related deaths globally. Currently， clinical treatment primarily relies on operation and chemotherapy to suppress tumors. However， these approaches face challenges such as suboptimal efficacy， high postoperative recurrence rates， and severe adverse reactions. Therefore， identifying safe and effective treatment modalities remains a pressing challenge for the medical community. In recent years， research on traditional Chinese medicine （TCM） interventions for pancreatic cancer has increased significantly. Multiple studies have shown that single-herb TCM， TCM formulas， and their derived single compounds can regulate the levels of tumor cell signaling pathways through multiple action targets. They inhibit the development and progression of pancreatic cancer by inhibiting cancer cell proliferation， promoting cell apoptosis， inhibiting tumor angiogenesis， reducing cancer cell invasion and migration capabilities， regulating the cell cycle， and modulating the tumor microenvironment. Additionally， TCM has the advantages of significantly enhancing the anticancer efficacy of chemotherapy drugs and causing fewer adverse reactions. However， the specific action mechanisms by which TCM intervenes in pancreatic cancer remain unclear. Further extensive research is still needed to validate the role of regulating classical signaling pathways such as phosphoinositide 3-kinase （PI3K）/protein kinase B （Akt）/mammalian target of rapamycin （mTOR）， Wnt/β-catenin， nuclear transcription factor-κB （NF-κB）， notch， and hedgehog in the treatment of pancreatic cancer. Therefore， this paper reviewed Chinese and international studies on TCM intervention in pancreatic cancer through relevant signaling pathways in recent years， summarized the potential action mechanisms of TCM in the treatment of pancreatic cancer， and provided references for related research in the future.

Objective: To explore the causal link of cumulative ecological risk and future orientation with health risk behaviors among higher vocational college students, so as to provide reference for reducing and preventing health risk behaviors among higher vocational college students. Methods: A longitudinal follow up study was conducted on 612 students using convenience sampling from 2 vocational colleges in Hunan Province. The Cumulative Ecological Risk Scale, Future Orientation Scale, and Health Risk Behavior Scale were used during three follow up visits (T1: September 2022, T2: June 2023, T3: March 2024), and a cross lagged panel model was constructed to examine the longitudinal causal relationship of cumulative ecological risk, future orientation and health risk behaviors. Analysis of longitudinal intermediary effect between variables by Bootstrap. Results: The cumulative ecological risk scores of T1, T2 and T3 among higher vocational college students were (2.94±1.44,2.99±1.63,3.02±1.54), future orientation scores (40.49±4.71,41.51±5.72,41.06±4.35) and health risk behavior scores (3.73±2.01,3.49±2.00,3.23±2.00). The results of repeated measures ANOVA showed that the future orientation score of T2 was higher than that of T1, and the main effect of measurement time was statistically significant ( F=5.09，P＜0.01,η 2=0.02). The health risk behavior score of T1 was higher than that of T2, and the health risk behavior score of T2 was higher than that of T3, and the main effect of measurement time was statistically significant ( F=10.12，P＜0.01,η 2=0.03).The cross lagged model showed good adaptability, with χ 2/df =7.20 ( P <0.01), relative fitting indicators GFI=0.98, CFI=0.99, TLI=0.96, IFI=0.99, NFI =0.99, and absolute fitting indicator RMSEA =0.06. Among them, the T1, T2 cumulative ecological risk showed negatively predictive effects on T2, T3 future orientation ( β =-0.24, -0.47 ), and T1, T2 cumulative ecological risk positively predicted T2, T3 health risk behavior ( β =0.20, 0.24), while T1, T2 future orientation negatively predicted T2, T3 health risk behavior ( β =-0.25, -0.18) ( P ＜0.01). Bootstrap test analysis found that T2 future orientation had a longitudinal mediating effect ( β=0.04, P ＜0.01) on the T1 cumulative ecological risk and T3 health risk behavior. Conclusions The accumulation of ecological risk among higher vocational college students can positively predict health risk behaviors, while future orientation can negatively predict healthrisk behaviors. Moreover, future orientation plays a longitudinal mediating role between accumulated ecological risks and health risk behaviors.

The rapid development of artificial intelligence (AI), especially generative AI (GenAI), has already brought, and will continue to bring, revolutionary changes to our daily production and life, as well as create new opportunities and challenges for diagnostic and therapeutic practices in the medical field. Haihe Hospital of Tianjin University collaborates with the National Supercomputer Center in Tianjin, Tianjin University, and other institutions to carry out research in areas such as smart healthcare, smart services, and smart management. We have conducted research and development of a full-process disease diagnosis and treatment assistance system based on GenAI in the field of smart healthcare. The development of this project is of great significance. The first goal is to upgrade and transform the hospital's information center, organically integrate it with existing information systems, and provide the necessary computing power storage support for intelligent services within the hospital. We have implemented the localized deployment of three models: Tianhe "Tianyuan", WiNGPT, and DeepSeek. The second is to create a digital avatar of the chief physician/chief physician's voice and image by integrating multimodal intelligent interaction technology. With generative intelligence as the core, this solution provides patients with a visual medical interaction solution. The third is to achieve deep adaptation between generative intelligence and the entire process of patient medical treatment. In this project, we have developed assistant tools such as intelligent inquiry, intelligent diagnosis and recognition, intelligent treatment plan generation, and intelligent assisted medical record generation to improve the safety, quality, and efficiency of the diagnosis and treatment process. This study introduces the content of a full-process disease diagnosis and treatment assistance system, aiming to provide references and insights for the digital transformation of the healthcare industry.
Artificial Intelligence ; Humans ; Delivery of Health Care ; Generative Artificial Intelligence

ObjectiveTo investigate the features of liver histopathological damage in patients with indeterminate phase of chronic HBV infection， as well as the timing for initiating antiviral therapy in such patients. MethodsA retrospective screening was performed for the patients with chronic HBV infection who were hospitalized in The Fifth Medical Center of Chinese PLA General Hospital and underwent liver biopsy from March 2018 to April 2022， among whom the patients who met the criteria for indeterminate phase defined in Chinese guidelines for chronic hepatitis B prevention and treatment （2022 edition） were enrolled， and their clinical data were collected. Liver histopathological stage was determined using the Scheuer scoring system， with stages 0 — 4 for inflammation grade （G） and stages 0 — 4 for fibrosis degree （S）， and the patients were divided into groups based on the presence of significant necroinflammation （≥G2） and significant liver fibrosis （≥S2）. The independent samples t-test was used for comparison of normally distributed continuous data between two groups， and the Mann-Whitney U test was used for comparison of non-normally distributed continuous data between two groups； the chi-square test or the Fisher’s exact test was used for comparison of categorical data between two groups. A Spearman’s rank correlation analysis was used to investigate the correlation between liver histopathology and clinical factors， and the Logistic regression model was used to identify the independent influencing factors for significant necroinflammation and liver fibrosis. ResultsA total of 271 patients with indeterminate phase of chronic HBV infection were enrolled， among whom 61 （22.5%） had significant necroinflammation （≥G2） and 124 （45.8%） had significant liver fibrosis （≥S2）. The Logistic regression analysis showed that alanine aminotransferase ≥30 U/L （for male patients） or ≥19 U/L （for female patients） （odds ratio ［OR］=2.69， 95% confidence interval ［CI］： 1.39 — 5.21， P=0.003）， HBV DNA ≥2 000 IU/mL （OR=2.75， 95%CI： 1.38 — 5.48， P=0.004）， and liver stiffness measurement （LSM） ≥6.0 kPa （OR=4.57， 95%CI： 2.17 — 9.62， P<0.001） were independent risk factors for significant inflammation. HBV DNA ≥2 000 IU/mL （OR=1.82， 95%CI： 1.01 — 3.32， P=0.049） and LSM ≥6.0 kPa （OR=2.06， 95%CI： 1.23 — 3.43， P=0.006） were independent influencing factors for significant liver fibrosis. ConclusionAmong the patients with indeterminate phase of chronic HBV infection， a substantial proportion of patients have significant liver histopathological damage. Antiviral therapy should be initiated in a timely manner for patients with high-risk factors.

Objective To investigate the predictive value of new simplified insulin resistance(IR)assessment indexes in identifying subclinical left ventricular systolic function impairment in patients with type 2 diabetes mellitus(T2DM).Methods A total of 150 T2DM patients with preserved left ventricular ejection fraction(LVEF≥50%)who were admitted to Department of Endocrinology of the First Affiliated Hospital of Air Force Medical University from June 2021 to December 2021 were retrospectively analyzed.All patients underwent two-dimensional speckle tracking echocardiography to measure left ventricular global longitudinal strain(GLS).According to GLS value,the subjects were divided into the normal group(GLS≥18%group,n=80)and the impaired group(GLS<18%group,n=70).Some new simplified IR assessment indicators were calculated and compared between the two groups,including body mass index(BMI),TG/HDL-C ratio,triglyceride-glucose(TyG)index,TyG-BMI index,TyG-WHR and metabolic score for IR(METS-IR).Correlation between the GLS and the new simplified IR assessment indexes was analyzed.The receiver operating characteristic(ROC)curve was used to analyze the diagnostic efficacy of different simplified IR assessment indexes,with the area under the curve(AUC)calculated.Furthermore,according to whether the subjects were complicated with hypertension,binary logistics regression analysis was performed to explore the independent correlation between the simplified IR assessment index and GLS<18%.Results Total 150 were included with aged(54.5±13.7)years with 96(64.0%)men and 54(36.0%)women.Compared with the GLS≥18%group,the TG/HDL-C ratio,TyG index,TyG-BMI,and METS-IR of subjects in the GLS<18%group were significantly increased(P<0.05).Pearson correlation analysis showed that TG/HDL-C ratio,TyG index,TyG-BMI,TyG-WHR,and METS-IR were negatively correlated with GLS(P<0.05).ROC analysis showed that TyG index had a certain predictive value for the evaluation of GLS<18%(AUC=0.678,95%CI 0.591-0.765,P<0.001).Stratification based on hypertension and further adjusting for confounding factors,TyG index remains significantly associated with GLS<18%(OR=3.249,95%CI 1.045-10.103,P=0.042).Conclusions The novel simplified insulin resistance evaluation indexes are closely associated with left ventricular subclinical systolic dysfunction in T2DM patients with preserved ejection fraction.TyG index is an effective index to identify left ventricular subclinical dysfunction in these populations.

Objective: To learn the status and influencing factors of development among infants at ages of 0 to 36 months in Xiaoshan District, Hangzhou City, so as to provide the reference for promoting healthy development of infants. Methods: Infants at ages of 0-36 months who underwent physical examination in Child Health Clinic of Xiaoshan District Community Health Service Center were selected in 2022. General data of infants and their mothers were collected through questionnaires, and the development status of infants was screened by Age and Stages Questionnaire (third edition). Factors affecting the development status were identified using a multivariable logistic regression model. Results: A total of 2 519 infants were investigated, including 1 339 males (53.16%) and 1 180 females (46.84%). There were 608 infants with abnormal development of at least one functional area of communication (CM), gross motor (GM), fine motor (FM), problems solving (CG) and personal-social (PS). The abnormal rate was 24.14%, and the abnormal rates of the above functional areas were 9.77%, 6.59%, 7.98%, 6.39% and 9.33%, respectively. Multivariable logistic regression analysis showed that gender (male, OR=1.563, 95%CI: 1.191-2.052), mother's childbearing age (≥35 years, OR=1.411, 95%CI: 1.001-1.988), mother's educational level (lower than junior college, OR=1.460, 95%CI: 1.116-1.912) were factors affecting abnormal development of CM; preterm birth (OR=2.323, 95%CI: 1.315-4.103) was factors affecting abnormal development of GM; gender (male, OR=1.654, 95%CI: 1.225-2.232) was factors affecting abnormal development of FM; gender (male, OR=1.511, 95%CI: 1.086-2.102) and mode of delivery (cesarean section, OR=1.460, 95%CI: 1.060-2.010) were factors affecting abnormal development of CG; gender (male, OR=1.340, 95%CI: 1.019-1.763) and birth weight (low birth weight, OR=1.985, 95%CI: 1.149-3.432) were factors affecting abnormal development of PS. Conclusions The rate of abnormal development among infants at ages of 0 to 36 months in Xiaoshan District is 24.14%. Gender, preterm birth, mode of delivery, birth weight, mother's childbearing age and mother's educational level could affect the development status of infants.

Objective To quantitatively assess the influence of various factors on the pharmacokinetic parameters of propofol and to develop a propofol population pharmacokinetic model tailored for Chinese patients.Methods Thirty patients scheduled for selective abdominal surgeries received an anesthesia dose of propofol at 2.0 mg·kg-1.The concentration of propofol in collected venous blood samples was measured using liquid chromatography-tandem mass spectrometry.Polymorphisms in metabolizing enzyme genes were detected through Sanger sequencing technology.Pharmacokinetic parameters were computed,and models were constructed and evaluated using Phoenix Winnonlin software.Results Through software analysis,the drug's in vivo process was best described by a three-compartment model.The population mean values for the central compartment clearance rate(CL),shallow peripheral compartment clearance rate(Q2),deep peripheral compartment clearance rate(Q3),central compartment volume of distribution(V),shallow peripheral compartment volume of distribution(V2),and deep peripheral compartment volume of distribution(V3)were 1.71 L·min-1,1.31 L·min-1,1.51 L·min-1,5.92 L,19.86 L and 99.06 L,respectively.Body weight was identified as a significant covariate affecting CL and V,and was incorporated into the model.Conclusion The evaluation of the final model demonstrates its substantial predictive capability,offering directional guidance for the clinical administration of propofol.

Objective To investigate the status quo of pain catastrophizing(PC)in the patients with di-abetic peripheral neuropathic pain(DPNP),and to analyze the influencing factors to provide reference for for-mulating clinical preventive intervention strategies.Methods A total of 206 patients with DPNP admitted and treated in the People's Hospital of Guangxi Zhuang Autonomous Region were selected as the research sub-jects by convenience sampling method.The general data questionnaire,Numerical Rating Scale(NRS),Pain Catastrophizing scale(PCS),Perceived Social Support Scale(PSSS)and diabetes distress scale(DDS)were used to conduct the investigation.Results The incidence rate of PC in 206 cases of DPNP patients was 44.66％(92/206),and the total score of PCS was(30.10±5.16)points.The results of multiple linear regres-sion analysis showed that the gender,duration of diabetes(≥10 years),multiple drug use,number of compli-cations(＞5),NRS score,PSSS score and scores of DDS dimensions were the main influencing factors of PC(all P＜0.05),which could explain 92.3％of the total variation of PC.Conclusion The PC incidence rate in the patients with DPNP is high.Clinical healthcare workers should pay attention to the evaluation of PC in these patients,and formulate the scientific and effective targeted intervention measures according to the main influen-cing factors to help the patients to reduce the pain burden in order to reduce the level of PC.

Objective To investigate the risk factors of microcirculation obstruction(MVO)after reperfusion in patients with acute myocardial infarction(AMI).Methods Forty-one patients with AMI who received treatment with myocardial reperfusion were retrospectively selected.Cardiac magnetic resonance(CMR)was used to determine whether the patients had MVO.The patients were divided into MVO and non-MVO groups.The basic data,laboratory examination and CMR parameters of patients were collected and compared between the groups,and the risk factors related to MVO were screened out by logistic regression analysis.Results Delayed myocardial enhancement was observed in all 41 patients,among which 11 cases(26.8%)were with MVO.A total of 206 delayed myocardial enhancement segments were observed,of which 77 segments combined with MVO and 129 segments without MVO.AMI patients with MVO had a higher rate of transmural myocardial infarction,greater infarct volume,left ventricular myocardial mass(LVMM)and edema degree,as well as lower ejection fraction of left and right ventricles(P<0.05).Multivariate logistic regression analysis indicated that infarct volume[odds ratio(OR)=1.116,95%confidence interval(CI)1.017-1.224,P=0.020]was an independent risk factor for MVO after AMI reperfusion.Conclusion Infarct volume is an independent risk factor for MVO after AMI reperfusion,and MVO is associated with left and right ventricular function impairment.

Objective To retrieve and extract the best evidence for preventing intracranial infections related to ex-ternal cerebrospinal fluid(CSF)drainage,and provide evidence-based support for reducing the incidence of intracra-nial infection caused by external CSF drainage.Methods Evidence-based care issues were determined according to PIPOST,and the best evidence on intracranial infection related to external CSF drainage tube was retrieved from top to bottom.The literature retrieval period was 2013-2023.Quality control of the literatures,as well as extraction and summary of the evidence were carried out by 2 trained graduate students.Results A total of 17 literatures were included in the analysis,including 3 guidelines,5 expert consensus,8 systematic reviews,and 1 randomized con-trolled trial.Management strategies from 3 dimensions(pre-catheterization,in-catheterization and post-catheteriza-tion)were obtained,including 20 pieces of evidence for preventing intracranial infection,such as preparation for ex-ternal CSF drainage tube,precautions during catheterization,and post-catheterization disposal.Conclusion There are differences in the management of external CSF drainage tube in clinical practice.It is necessary to develop uni-fied,standardized,and rational bundle strategies to prevent intracranial infection,so as to reduce the incidence of catheter-related intracranial infection.