ObjectiveTo introduce visual teaching into the course design of medical humanistic care based on the concept of implementation science， evaluate the teaching implementation effect and feedback， and provide references for optimizing course teaching outcomes and improving students’ humanistic care competence. MethodsA visual teaching program for medical humanistic care was designed， with key steps including clarifying teaching objectives， content， methods， and curriculum assessment. This program was implemented in the medical humanistic care course teaching involving 50 elective students. Multi-dimensional evaluation of teaching effectiveness was conducted through course grades， visual teaching evaluation， and humanistic workshop assessment， combined with inductive content analysis of students’ learning experiences in the workshops. ResultsThe 50 students achieved above-average course grades （89.60±3.41） and demonstrated high satisfaction with the overall course and visual teaching. All the 6 groups obtained relatively high scores in the medical humanistic care workshops. Four themes were extracted， namely， enhancing humanistic care competencies， deepening familial and interpersonal relationships， realizing emotional expression and self-growth， and strengthening integration of humanistic care concepts with practice. ConclusionThe teaching of medical humanistic care course has achieved favorable effects， which contributes to deepening students’ understanding of humanistic care and enhancing their humanistic care competence. Students demonstrate high levels of recognition and satisfaction with the course.

Endometriosis （EMT） is a common disease with frequent occurrence and difficult to be cured in modern clinical practice of obstetrics and gynaecology. It is characterized by progressively worsening dysmenorrhoea， pelvic mass， and infertility. The incidence of EMT is growing and increasingly younger patients are diagnosed with this disease， which poses a serious threat to the reproductive and psychological health of women of childbearing age and adolescent females. However， the pathogenesis of EMT is still not completely clear， and the disease has a long course. Therefore， developing new therapies is an urgent clinical problem to be solved. Great progress has been achieved in the treatment of EMT with traditional Chinese medicine （TCM）， while the underlying mechanism remains in exploration. Programmed cell death （PCD） is a cell death mode mediated by a variety of bio-molecules with specific signaling cascades. The known PCD processes include apoptosis， pyroptosis， autophagy， ferroptosis， and cuproptosis， which all play a pivotal role in the development of EMT. Researchers have made achievements in the treatment of EMT with TCM， which regulates PCD via multiple pathways， routes， targets， and mechanisms. However， the progress in the regulation of PCD in the treatment of EMT with TCM remains to be reviewed. This paper reviews the research progress in the treatment of EMT with TCM from five PCD processes （apoptosis， pyroptosis， autophagy， ferroptosis， and cuproptosis）， with the aim of providing a theoretical basis for the clinical prevention and treatment of EMT.

Elderly end-of-life patients often experience distress due to being caught in dilemmas of contemplation and decision-making. Narrative wills， grounded in life values and premised on respecting individual wishes and needs， present an individual’s unique life story through narrative forms， conveying their overall experience， interpretation of meaning， and understanding of life. They are preserved and passed on in a way that meets individual expectations， thereby promoting human exploration， reflection， and growth regarding the meaning of life through interpersonal interactions that transcend space and time. This paper explored the concept of narrative wills among elderly end-of-life patients， the ethical value and ethical principles of narrative wills， and the moral and ethical risks. It also provided specific ethical interpretations， assisting in the application and development of narrative wills in elderly end-of-life patients.

Cardiovascular disease (CVD) poses a serious threat to human health. Exercise plays an important role in both the prevention and treatment of CVD and is one of the key non-pharmacological interventions. Exercise can regulate the level of exerkine secreted by different tissue cells, directly affect the cardiovascular system or play a role in cardiovascular protection by improving cardiovascular risk factors. Exerkine such as meteorin-like protein (Metrnl), brain-derived neurotrophic factor (BDNF), fibroblast growth factor 21 (FGF21), and exosomal microRNA (miRNA) play an important role in regulating vascular and cardiac diseases such as atherosclerosis, heart failure, cardiac ischemia-reperfusion and myocardial infarction, as well as their risk factors. Exploring the signaling pathways and mechanisms by which Metrnl, BDNF, FGF21, and exosomal miRNAs exert cardiovascular protective effects can provide novel insights into exercise-based strategies for preventing and treating cardiovascular diseases.
Humans ; Cardiovascular Diseases/prevention & control* ; Exercise/physiology* ; Fibroblast Growth Factors/physiology* ; MicroRNAs/metabolism* ; Brain-Derived Neurotrophic Factor/physiology* ; Cardiovascular System/physiopathology* ; Exosomes/metabolism* ; Signal Transduction

Schizophrenia (SZ) stands as a severe psychiatric disorder. This study applied diffusion tensor imaging (DTI) data in conjunction with graph neural networks to distinguish SZ patients from normal controls (NCs) and showcases the superior performance of a graph neural network integrating combined fractional anisotropy and fiber number brain network features, achieving an accuracy of 73.79% in distinguishing SZ patients from NCs. Beyond mere discrimination, our study delved deeper into the advantages of utilizing white matter brain network features for identifying SZ patients through interpretable model analysis and gene expression analysis. These analyses uncovered intricate interrelationships between brain imaging markers and genetic biomarkers, providing novel insights into the neuropathological basis of SZ. In summary, our findings underscore the potential of graph neural networks applied to multimodal DTI data for enhancing SZ detection through an integrated analysis of neuroimaging and genetic features.
Humans ; Schizophrenia/pathology* ; Diffusion Tensor Imaging/methods* ; Male ; Female ; Adult ; Brain/metabolism* ; Young Adult ; Middle Aged ; White Matter/pathology* ; Gene Expression ; Nerve Net/diagnostic imaging* ; Graph Neural Networks

Objective To develop the Children's Screen Interaction Quality Questionnaire(CSIQ)suit-able for measuring Chinese children aged 0 to 4 years,and to test its reliability and validity.Methods The purposive sampling method was used,and the guardians of 30 normal children aged 0 to 4 years undergoing physical examinations in the Department of Child Health Care of Guiyang Maternal and Child Health Care Hospital from February to April 2023 were selected as the interview objects.25 initial items were constructed through literature review,semi-structured interviews,and the Delphi expert consultation method.With the convenience sampling method,2 242 guardians of children aged 0 to 4 years old in the small and middle classes of 9 kindergartens in Guiyang City,Zunyi City,and Renhuai City were surveyed for item analysis,exploratory factor analysis,confirmatory factor analysis,and reliability and validity analysis.Results Exploratory factor a-nalysis extracted three factors,namely screen content interaction,reality interaction,and media interaction,with a total of 12 items.The cumulative variance explained rate of the 3-factor model was 69.829％.Confirma-tory factor analysis supported the three-factor model of CSIQ:x2/df=4.424,root mean square error of ap-proximation(RMSEA)=0.066,normed fit index(NFI)=0.955,comparative fit index(CFI)=0.965,incre-mental fit index(IFI)=0.965,Tucker-Lewis index(TLI)=0.955,goodness-of-fit index(GFI)=0.955,and the CSIQ had good convergent validity and discriminant validity.Conclusion The CSIQ has good reliability and validity.

Objective:To establish a risk prediction model based on least absolute shrinkage and selection operator (LASSO) regression for procalcitonin (PCT), milk fat globule-epidermal growth factor 8 (MFG-E8) and CXC chemokine ligand 9 (CXCL9) in elderly patients with liver cancer after transcatheter arterial chemoembolization (TACE) .Methods:A total of 150 elderly patients with liver cancer who underwent TACE treatment in Shishi City Hospital, Fujian Province and 910th Hospital of the Chinese People's Liberation Army Joint Logistic Support Force from August 2020 to August 2023 were selected as the study subjects. Patients with infection after TACE were included in the infected group and those without infection were included in the non-infected group according to whether the patients had infection during the postoperative hospitalization. The baseline data of patients were collected and compared. LASSO regression was used to screen the factors that may affect the infection after TACE in elderly patients with liver cancer and binary logistic regression analysis was performed. According to the results of regression analysis, a nomogram model was constructed based on the regression analysis results and the nomogram was internally validated using Bootstrap and receiver operator characteristic (ROC) curves.Results:There were 18 cases of infection in 150 elderly patients with liver cancer after TACE, with an incidence of 12.00%. There were statistically significant differences in focal rupture and bleeding ( χ2=5.92, P=0.015), ascites ( χ2=6.70, P=0.010), skin or mucosal damage ( χ2=6.67, P=0.010) between the infected group ( n=18) and the non-infected group ( n=132). The levels of serum PCT [ (1.17±0.32 ) μg/L vs. (0.91±0.14) μg/L], MFG-E8 [ (194.29±45.85) pg/ml vs. (158.76±28.63) pg/ml] and CXCL9 [ (948.49±52.38) pg/ml vs. (886.05±50.07) pg/ml] were higher than those in the non-infected group, with statistically significant differences ( t=4.13, P<0.001; t=4.55, P<0.001; t=4.94, P<0.001). Four factors related to infection after TACE intervention in patients with liver cancer were finally selected by LASSO regression model, skin or mucosal damage, PCT, MFG-E8, CXCL9 levels. Binary logistic regression analysis showed that skin or mucosal damage ( OR=13.48, 95% CI: 1.29-140.47, P=0.030), high levels of serum PCT ( OR=1.13, 95% CI: 1.05-1.22, P=0.001), MFG-E8 ( OR=1.04, 95% CI: 1.01-1.07, P=0.003), CXCL9 ( OR=1.05, 95% CI: 1.02-1.08, P=0.001) were risk factors for infection after TACE in elderly patients with liver cancer. Based on skin or mucosa damage, PCT, MFG-E8 and CXCL9, a nomogram prediction model for postoperative infection in elderly patients with liver cancer after TACE intervention was established. Calibration curve showed that the C-index of postoperative infection predicted by the nomogram model in elderly patients with liver cancer after TACE intervention was 0.939, indicating the model had good discrimination. ROC curve analysis showed that the area under the curve (AUC) predicted by the nomogram model for infection after TACE intervention in elderly patients with liver cancer was 0.960 (95% CI: 0.926-0.995, P<0.001), which had certain predictive value. The specificity, sensitivity and Youden index were 0.864, 0.944 and 0.808, respectively. Conclusions:Skin or mucosal damage, high levels of serum PCT, CXCL9 and MFG-E8 are closely related to postoperative infection in elderly patients with liver cancer after TACE, and the prediction model constructed based on this has better predictive performance for postoperative infection.

ObjectiveTo establish a qualitative and quantitative analysis method for chemical constituents in Liu Junzitang（LJZT）， and to clarify its material basis. MethodThe chemical constituents in LJZT were analyzed by ultra performance liquid chromatography-quadrupole-time-of-flight mass spectrometry（UPLC-Q-TOF-MS/MS）， and the resulting compounds were identified by using databases， such as MassBank， PubChem， ChemSpider， Traditional Chinese Medicine Systems Pharmacology Database and Analytical Platform（TCMSP）， and by combining with relevant literature. UPLC was used to establish a quantitative method for analysis of 9 compounds in LJZT， including liquiritin， hesperidin， lobetyolin， liquiritigenin， glycyrrhizic acid， nobiletin， tangeretin， atractylenolide Ⅱ and Ⅰ. ResultBy combining the relevant literature， database and MS information， a total of 79 compounds were identified from LJZT， including 31 flavonoids， 15 terpenoids， 14 nitrogen-containing compounds， 6 phenylpropanoids， 6 organic acids and 7 other compounds. The established quantitative analytical method for the nine representative components showed good linearity within their respective linear ranges， and the precision， stability， reproducibility and recovery were in accordance with the requirements. The quantitative results showed that the contents of liquiritin， hesperidin， lobetyolin， liquiritigenin， glycyrrhizic acid， nobiletin， tangeretin， atractylenolide Ⅱ and Ⅰ in LJZT were 0.376 5， 2.602 1， 0.082 6， 0.128 1， 1.778 6， 0.015 7， 0.006 7， 0.030 4， 0.003 2 mg·g^-1， respectively. ConclusionThe established method can quickly， sensitively and accurately analyze the chemical constituents in LJZT， clarify that the material basis of LJZT is mainly flavonoids， terpenoids and nitrogen-containing compounds， and simultaneously determine the contents of the 9 components， which can lay a foundation for the research on quality control， mechanism and clinical application of LJZT.