This article systematically reviews the current research status as well as diagnosis and treatment strategies of traditional Chinese medicine （TCM） for gastroesophageal reflux disease （GERD）. Studies demonstrate that TCM， based on the "disease-syndrome combination" approach， exhibits multi-target advantages in alleviating symptoms of various GERD subtypes， promoting mucosal repair， regulating emotions， and facilitating the reduction of western medication. To address clinical challenges such as symptom overlap and limited therapeutic efficacy， strategies have been proposed including "treating different diseases with the same method" and integrated regulation based on viscera correlation. Future efforts should focus on elucidating the mechanisms of compound prescriptions， promoting TCM drug development under the "three-combination" evaluation framework that integrates TCM theory， human experience and clinical trial evidence， and optimizing integrated traditional and western medicine models to enhance GERD management.

Atherosclerosis （AS） is a chronic and inflammatory vascular disease. Macrophages are common immune cells and play an important role in the development of AS. In recent years， research has found that the formation of AS plaques is closely related to pathological and physiological processes such as macrophage polarization， energy metabolism， and lipid phagocytosis. This review aims to summarize the mechanism of macrophages in the development of AS， and to explore potential therapeutic methods for delaying AS by regulating macrophages， providing new ideas for the treatment and research of AS.

Objective To observe the efficacy of self-guided attention network for detecting responsible lesions related to cerebral palsy(CP)in children with periventricular white matter injury(PVWMI).Methods Totally 383 children with PVWMI were retrospectively enrolled and divided into CP group(n=243)and non-CP group(n=140),while 214 children without obvious brain abnormality on brain MRI were taken as control group.ROI of 4 key anatomical structures related to CP,i.e.centrum semiovale,posterior limb of internal capsule,cerebral peduncle and thalamus were delineated on T1WI,while responsible lesions related to CP within the key anatomical structures were labeled on T2WI,and the images were then registrated and used as input of the networks.ResNet34 network was adopted combined with attention and self-guided networks to train the network for detecting responsible lesions related to CP in children with PVWMI,and their efficacies were evaluated.The optimal network was screened,and its efficacy for segmenting the key anatomical structures was evaluated.Results Self-guided attention network was the optimal network,its area under the curve(AUC)for detecting lesions was 0.794-0.914,and the Dice similarity coefficient for segmenting the key anatomical structures was 0.702-0.764.Conclusion Self-guided attention network could be used for preliminarily detecting responsible lesions related to CP in children with PVWMI.

Objective:To investigate the current status and challenges of pediatric life support training in China and provide references for improving training quality.Methods:A cross-sectional study was conducted to collect data from pediatric life support training centers across the country，covering basic institutional information，training capacity and training faculty，training program funding，as well as existing challenges and issues.The domestic registry of training centers in 2023 was obtained through the American Heart Association's online platform.After contacting and verifying each center，an online questionnaire was distributed，and the aggregated data were statistically analyzed.Results:A total of 42 institutions participated in the survey，including 19 children's hospitals，14 general hospitals，6 maternal and child health hospitals，2 women and children’s hospitals，and 1 training institution.The distribution of training centers showed a concentration in coastal areas，with the top three provinces/municipalities being Guangdong（7/42，16.7%），Zhejiang（6/42，14.3%），and Shanghai（4/42，9.5%）.As of December 31 2023，the 42 institutions had an annual basic life support（BLS）training volume of 8 587 individuals，the median was 120 (100,200)，and an annual pediatric advanced life support（PALS）training volume of 2 448 individuals，the median was 30 (20,50).Among the 42 institutions，there were 598 BLS instructors and 306 PALS instructors.Among the surveyed institutions，24（24/42，57.1%）reported BLS instructor teams comprising fewer than 10 members，and 33（33/42，78.6%）reported PALS instructor teams comprising fewer than 10.Only 7 centers(7/42,16.7%）reported having dedicated funding support.The top three challenges were：training sessions occupying instructors’personal time（27/42，64.3%），low instructor compensation（16/42，38.1%），and issues with the data submission system（16/42，38.1%）.Conclusion:Pediatric life support training centers in China are primarily children’s hospitals，with a geographical concentration in coastal areas，which is also reflected in the distribution of training scale and instructor resources.Most centers have relatively small training scales and limited instructor capacity，with many instructors conducting training during their personal time.These issues may hinder the implementation and effectiveness of training programs.

Objective To compare and find an optimal model for predicting the risk of DKD occurrence in patients with type 2 diabetes mellitus(T2DM).Methods A total of 2005 patients with T2DM were enrolled in this study from The Second Hospital of Shijiazhuang City during December 2017 to December 2022.All the subjects were divided into a training set(n=1403)and a validation set(n=602)according to the ratio of 3∶1 by simple random sampling.With the occurrence of DKD as the outcome variablein the training set,important feature variables were screened by LASSO regression.Six different machine learning models were established according to the feature variables,thenthe optimal model was determined by comparison,and anonlinerisk predictor for DKD occurrence was constructed in patients with T2DM.Results Taking the occurrence of DKD as the outcome variable in the training set,the results of LASSO regression analysis showed that the optimal value of the model was 10-fold cross validation lambda.1se=0.01662473,and 15 characteristic variables with nonzero coefficient were screened out to be related to the occurrence of DKD.The data included sex,age,family history of DM,DM duration,LDL-C,HbA1c,WBC,PDW,Scr,urine α1-microglobulin,urine β2-microglobulin,urine microalbumin,hypertension,hypokalemia,and DR.In the training set and validation set,the prediction performance of XGBoost model was better than that of other models(AUC=0.872,0.893,95%CI 0.853～0.891,0.865～0.921),the sensitivity was 0.779,0.863,and the specificity was 0.721,0.758,respectively.The F1 scores were 0.774 and 0.787.DCA analysis showed that the XGBoost model had a greater net benefit and threshold probability.According to the XGBoost model,the online predictor of DKD risk in T2DM patients was laid out,and two patients were selected for application,the results showed that the predictive value of the model was 0.185 in non-DKD patients,and the predictive value was 0.510 in DKD patients.Conclusions The XGBoost model is the best model for predicting the occurrence of DKD in T2DM patients,and an online predictor was successfully built.

Objective:To describe the prevalence of anxiety disorders and its distribution in Inner Mongolia Autonomous Region,and to explore the relevant factors of anxiety disorders.Methods:From June 2019 to Decem-ber 2019,representative multi-stage disproportionate stratified sampling procedure was used to sample in residents aged 18 and over in the Inner Mongolia Autonomous Region.All respondents were face-to-face interviewed by trained interviewers.Composite International Diagnostic Interview-3.0(CIDI-3.0)was used to diagnose anxiety disorders according to the criteria and definition of the Diagnostic and Statistical Manual of Mental Disorders,Fourth Edition(DSM-Ⅳ).Chi-square test and multivariate logistic regression analysis were used for statistical anal-ysis.Results:Totally 12 315 people were interviewed in the survey.The weighted 12-mouth prevalence rate of any anxiety disorder was 4.64％,and the lifetime prevalence rate was 6.25％.The weighted 12-month prevalence rate of anxiety disorders was higher in female than that in male(5.38％vs.3.92％).The rate was higher in rural resi-dents than that in urban residents(5.67％vs.3.95％).The rate was higher in people with chronic diseases than that in people without chronic diseases(6.81％vs.2.29％).Logistic regression analysis showed that unmarried(OR=2.32,95％CI:1.31-4.10),separated/divorced(OR=2.49,95％CI:1.33-4.67),in debt(OR=1.55,95％CI:1.04-2.32),chronic disease(OR=2.22,95％CI:1.39-3.53),family history of anxiety disorders(OR=12.05,95％CI:8.78-16.53),poor sleep(OR=2.64,95％CI:1.97-3.54)were risk factors of occurrence of anxiety disorders,while junior high school(OR=0.65,95％CI:0.44-0.96)was protective factor of anxiety disor-ders.Conclusion:Adults with chronic diseases,poor sleep,unmarried or separated/divorced,family history of anxi-ety disorders,and financial debt are at higher risk groups of anxiety disorder in Inner Mongolia Autonomous Re-gion.

Objective:To investigate the protective effect of catalpol on the liver of rats with acute hepatitis caused by hepatitis B virus(HBV)infection and its possible mechanism.Methods:SD rats were randomly divided into Sham group,Model group,acyclo-vir group(ACY group),low-dose catalpol group(L-CAT group),medium-dose catalpol group(M-CAT group)and high-dose catalpol group(H-CAT group).The levels of serum inflammatory cytokines were detected by ELISA.Flow cytometry was used to detect the per-centage of peripheral blood Th17 cells.Hematoxylin-eosin staining and TUNEL assay were used to detect liver tissue injury and apopto-sis.Western blot analysis was used to detect the expression of related proteins in liver tissue.Results:Compared with the Sham group,the levels of serum HBsAg,HBeAg,ALT,AST,Th17 cell ratio,IL-17 and IL-23,and the expression of TLR4 and p-p65 protein in liver tissues were significantly increased in the Model group,while the levels of serum IL-13 and IL-4 were significantly decreased in the Model group,the differences were statistically significant(P<0.05).Compared with the Model group,the levels of serum HBsAg,HBeAg,ALT,AST,Th17 cell ratio,IL-17 and IL-23,as well as the expressions of TLR4 and p-p65 protein in liver tissues of rats in the ACY,M-CAT and H-CAT groups were significantly decreased,while the levels of serum IL-13 and IL-4 were significantly in-creased,the differences were statistically significant(P<0.05).Compared with the L-CAT and M-CAT groups,the levels of serum HB-sAg,HBeAg,ALT,AST,Th17 cell ratio,IL-17 and IL-23,the expression of liver TLR4 and p-p65 protein were significantly de-creased,while the levels of serum IL-13 and IL-4 were significantly increased in the H-CAT group,the differences were statistically significant(P<0.05).Conclusion:Catalpol improves HBV infection-induced liver injury in rats by reducing Th17 cell proportion and pro-inflammatory cytokine levels,and increasing anti-inflammatory cytokine levels,possibly by inhibiting TLR4/NF-κB p65 signaling pathway activation.

Objective To observe the efficacy of self-guided attention network for detecting responsible lesions related to cerebral palsy(CP)in children with periventricular white matter injury(PVWMI).Methods Totally 383 children with PVWMI were retrospectively enrolled and divided into CP group(n=243)and non-CP group(n=140),while 214 children without obvious brain abnormality on brain MRI were taken as control group.ROI of 4 key anatomical structures related to CP,i.e.centrum semiovale,posterior limb of internal capsule,cerebral peduncle and thalamus were delineated on T1WI,while responsible lesions related to CP within the key anatomical structures were labeled on T2WI,and the images were then registrated and used as input of the networks.ResNet34 network was adopted combined with attention and self-guided networks to train the network for detecting responsible lesions related to CP in children with PVWMI,and their efficacies were evaluated.The optimal network was screened,and its efficacy for segmenting the key anatomical structures was evaluated.Results Self-guided attention network was the optimal network,its area under the curve(AUC)for detecting lesions was 0.794-0.914,and the Dice similarity coefficient for segmenting the key anatomical structures was 0.702-0.764.Conclusion Self-guided attention network could be used for preliminarily detecting responsible lesions related to CP in children with PVWMI.

Objective:To investigate the protective effect of catalpol on the liver of rats with acute hepatitis caused by hepatitis B virus(HBV)infection and its possible mechanism.Methods:SD rats were randomly divided into Sham group,Model group,acyclo-vir group(ACY group),low-dose catalpol group(L-CAT group),medium-dose catalpol group(M-CAT group)and high-dose catalpol group(H-CAT group).The levels of serum inflammatory cytokines were detected by ELISA.Flow cytometry was used to detect the per-centage of peripheral blood Th17 cells.Hematoxylin-eosin staining and TUNEL assay were used to detect liver tissue injury and apopto-sis.Western blot analysis was used to detect the expression of related proteins in liver tissue.Results:Compared with the Sham group,the levels of serum HBsAg,HBeAg,ALT,AST,Th17 cell ratio,IL-17 and IL-23,and the expression of TLR4 and p-p65 protein in liver tissues were significantly increased in the Model group,while the levels of serum IL-13 and IL-4 were significantly decreased in the Model group,the differences were statistically significant(P<0.05).Compared with the Model group,the levels of serum HBsAg,HBeAg,ALT,AST,Th17 cell ratio,IL-17 and IL-23,as well as the expressions of TLR4 and p-p65 protein in liver tissues of rats in the ACY,M-CAT and H-CAT groups were significantly decreased,while the levels of serum IL-13 and IL-4 were significantly in-creased,the differences were statistically significant(P<0.05).Compared with the L-CAT and M-CAT groups,the levels of serum HB-sAg,HBeAg,ALT,AST,Th17 cell ratio,IL-17 and IL-23,the expression of liver TLR4 and p-p65 protein were significantly de-creased,while the levels of serum IL-13 and IL-4 were significantly increased in the H-CAT group,the differences were statistically significant(P<0.05).Conclusion:Catalpol improves HBV infection-induced liver injury in rats by reducing Th17 cell proportion and pro-inflammatory cytokine levels,and increasing anti-inflammatory cytokine levels,possibly by inhibiting TLR4/NF-κB p65 signaling pathway activation.

Objective:To explore the training experiences of palliative care nurses participating in a prognosis disclosure workshop based on Kolb's experiential learning model, and to provide references for future educational programs in palliative care nursing.Methods:Using purposive sampling, 11 nurses were recruited who had participated in the "Palliative Care Competency Training Program for Nurses" in Shanghai between March and May 2025 and selected the Third Affiliated Hospital of Naval Medical University as their clinical training site. Semi-structured interviews were conducted, and data were analyzed using Colaizzi's seven-step method.Results:A total of three major themes emerged: a sense of benefit from enhanced competencies; complex emotional experiences; recommendations for course optimisation.Conclusions:Workshops based on Kolb's experiential learning model offer positive value in palliative care education. They effectively improve core competencies such as communication and empathy. However, the emotional experiences of nurses must also be considered, and multifaceted optimizations to the training design are recommended to further enhance training outcomes.