Children with cancer represent a distinct patient population, and decisions regarding hospice care preferences are primarily made by their parents. This article examines parental preferences concerning the location and goals of hospice care for their children with cancer, discusses the advantages and disadvantages associated with these choices, and identifies factors influencing parental preferences for hospice care. The aim is to provide a reference for clinical healthcare professionals in delivering high-quality hospice care services for children with cancer that align with parental preferences.

Objective:To evaluate the effectiveness of enhanced "Presentation-Assimilation-Discussion (PAD) class" model in electrocardiogram (ECG) internship teaching in the department of cardiovascular medicine and to improve the ECG interpretation and clinical competency of interns.Methods:A total of 200 clinical undergraduate interns enrolled from September 2022 to August 2024 were divided into a control group (traditional teaching, n=100) and an experimental group (enhanced "PAD class" model, n=100). The enhanced "PAD class" model adopted a "focused lecture, structured internalization, and case-driven discussion" approach, incorporating artificial intelligence-assisted real-time feedback and targeted task design. Post-internship evaluations compared the scores of foundational skills (ECG interpretation accuracy and standardized ECG operation), clinical competencies (clinical decision-making, critical value recognition, and diagnostic reasoning), comprehensive evaluation, and assessment of teaching effectiveness. SPSS 26.0 was used for the chi-square test and t-test. Results:The experimental group demonstrated significantly superior performance in foundational skills [e.g., ECG interpretation accuracy: (97.63±1.35) vs. (90.54±4.08)], clinical competencies [e.g., clinical decision-making: (93.45±3.18) vs. (82.17±5.62)], and comprehensive evaluation [(97.96±1.06) vs. (90.94±3.49)] (all P<0.05). In teaching effectiveness evaluation, satisfaction was significantly higher in the experimental group across all seven metrics such as stimulated learning interest and clinical thinking ( P<0.05). Conclusions:The enhanced "PAD class "model, through artificial intelligence empowerment and case-driven discussions, can significantly improve ECG teaching outcomes and clinical decision-making skills, demonstrating its potential for broader application in internship teaching in the department of cardiovascular medicine.

Objective To understand the current situation and influencing factors of delirium in lung transplant patients in the early postoperative period,and to construct and verify a risk prediction model.Methods The convenience sampling method was used to select patients who were admitted to a tertiary general hospital in Jiangsu Province for lung transplantation from June 2023 to November 2024.Lasso regression was used to screen variables,and logistic regression analysis was used to explore the influencing factors of early postoperative delirium in lung transplantation patients,and the risk prediction model was constructed and nomogram was drawn.The area under the working curve(AUC)of the subjects and the Hosmer-Lemeshow test were used to evaluate the discrimination and calibration of the model.Internal validation of the model was performed by repeated sampling 1000 times using Bootstrap method.Results A total of 228 lung transplant patients were included in this study,of which 76 developed delirium in the early postoperative period,with an incidence of 33.33％.Age≥51.5 years,hypertension combined with diabetes mellitus,the Lung Allocation System(LAS)score ≥ 75.63,the duration of mean arterial pressure less than 70 mmHg≥ 12.50 min,intraoperative red blood cell transfusion≥750 ml,and midazolam dosage≥102.50 mg were the independent risk factors for early postoperative delirium in lung transplantation(P＜0.05).The AUC of the model was 0.771;the optimal cut-off value was 0.334;the sensitivity and specificity were both 0.724.The results of Hosmer-Lemeshow test showed that x2=5.677,P=0.683;the internal verification showed that the AUC of the model was 0.737,and the absolute error of the actual and predicted values of the calibration curve was 0.023,and the calibration curve was close to the ideal curve.Conclusion Age,hypertension combined with diabetes mellitus,LAS score,duration of mean arterial pressure less than 70 mmHg,amount of intraoperative red blood cell transfusion,and midazolam dosage are the influencing factors for early postoperative delirium in lung transplant patients.The risk prediction model constructed in this study has good predictive performance and can be used as a risk prediction tool for early postoperative delirium in lung transplant patients,helping to timely and accurately identify high-risk groups of delirium,helping to reduce the incidence of early postoperative delirium,and improve patient prognosis.

This paper summarized the pain catastrophizing assessment tools, including the concept, characteristics and application fields of the assessment tools. It aimed to improve the understanding of pain catastrophizing among clinical medical staff in China, pay attention to the symptom management and psychosocial status management of pain patients, and provide a reference for standardizing the pain catastrophizing assessment model in China.

Objective To understand the current situation and influencing factors of delirium in lung transplant patients in the early postoperative period,and to construct and verify a risk prediction model.Methods The convenience sampling method was used to select patients who were admitted to a tertiary general hospital in Jiangsu Province for lung transplantation from June 2023 to November 2024.Lasso regression was used to screen variables,and logistic regression analysis was used to explore the influencing factors of early postoperative delirium in lung transplantation patients,and the risk prediction model was constructed and nomogram was drawn.The area under the working curve(AUC)of the subjects and the Hosmer-Lemeshow test were used to evaluate the discrimination and calibration of the model.Internal validation of the model was performed by repeated sampling 1000 times using Bootstrap method.Results A total of 228 lung transplant patients were included in this study,of which 76 developed delirium in the early postoperative period,with an incidence of 33.33％.Age≥51.5 years,hypertension combined with diabetes mellitus,the Lung Allocation System(LAS)score ≥ 75.63,the duration of mean arterial pressure less than 70 mmHg≥ 12.50 min,intraoperative red blood cell transfusion≥750 ml,and midazolam dosage≥102.50 mg were the independent risk factors for early postoperative delirium in lung transplantation(P＜0.05).The AUC of the model was 0.771;the optimal cut-off value was 0.334;the sensitivity and specificity were both 0.724.The results of Hosmer-Lemeshow test showed that x2=5.677,P=0.683;the internal verification showed that the AUC of the model was 0.737,and the absolute error of the actual and predicted values of the calibration curve was 0.023,and the calibration curve was close to the ideal curve.Conclusion Age,hypertension combined with diabetes mellitus,LAS score,duration of mean arterial pressure less than 70 mmHg,amount of intraoperative red blood cell transfusion,and midazolam dosage are the influencing factors for early postoperative delirium in lung transplant patients.The risk prediction model constructed in this study has good predictive performance and can be used as a risk prediction tool for early postoperative delirium in lung transplant patients,helping to timely and accurately identify high-risk groups of delirium,helping to reduce the incidence of early postoperative delirium,and improve patient prognosis.

This paper summarized the pain catastrophizing assessment tools, including the concept, characteristics and application fields of the assessment tools. It aimed to improve the understanding of pain catastrophizing among clinical medical staff in China, pay attention to the symptom management and psychosocial status management of pain patients, and provide a reference for standardizing the pain catastrophizing assessment model in China.

Children with cancer represent a distinct patient population, and decisions regarding hospice care preferences are primarily made by their parents. This article examines parental preferences concerning the location and goals of hospice care for their children with cancer, discusses the advantages and disadvantages associated with these choices, and identifies factors influencing parental preferences for hospice care. The aim is to provide a reference for clinical healthcare professionals in delivering high-quality hospice care services for children with cancer that align with parental preferences.

Objective:To evaluate the effectiveness of enhanced "Presentation-Assimilation-Discussion (PAD) class" model in electrocardiogram (ECG) internship teaching in the department of cardiovascular medicine and to improve the ECG interpretation and clinical competency of interns.Methods:A total of 200 clinical undergraduate interns enrolled from September 2022 to August 2024 were divided into a control group (traditional teaching, n=100) and an experimental group (enhanced "PAD class" model, n=100). The enhanced "PAD class" model adopted a "focused lecture, structured internalization, and case-driven discussion" approach, incorporating artificial intelligence-assisted real-time feedback and targeted task design. Post-internship evaluations compared the scores of foundational skills (ECG interpretation accuracy and standardized ECG operation), clinical competencies (clinical decision-making, critical value recognition, and diagnostic reasoning), comprehensive evaluation, and assessment of teaching effectiveness. SPSS 26.0 was used for the chi-square test and t-test. Results:The experimental group demonstrated significantly superior performance in foundational skills [e.g., ECG interpretation accuracy: (97.63±1.35) vs. (90.54±4.08)], clinical competencies [e.g., clinical decision-making: (93.45±3.18) vs. (82.17±5.62)], and comprehensive evaluation [(97.96±1.06) vs. (90.94±3.49)] (all P<0.05). In teaching effectiveness evaluation, satisfaction was significantly higher in the experimental group across all seven metrics such as stimulated learning interest and clinical thinking ( P<0.05). Conclusions:The enhanced "PAD class "model, through artificial intelligence empowerment and case-driven discussions, can significantly improve ECG teaching outcomes and clinical decision-making skills, demonstrating its potential for broader application in internship teaching in the department of cardiovascular medicine.

ObjectiveTo investigate the effects of Aconiti Coreani Radix and Typhonii Rhizoma on the urinary metabolites of gerbils with stroke by non-targeted metabolomics technique， and then to clarify the mechanism of the two， as well as their similarities and differences. MethodTwenty-four gerbils were randomly divided into control group（CG）， model group（MG）， Aconiti Coreani Radix group（RA） and Typhonii Rhizoma group（RT）. Except for the CG， ischemic stroke model was constructed using right unilateral ligation of gerbil carotid artery in the remaining groups. Except for the CG and MG， rats in the other groups received whole powder suspension（0.586 mg·g^-1） was administered for 14 days. The neurological deficit in each group was scored by Longa scoring on days 0， 3， 7 and 14. After the end of administration， the serum， brain tissue and urine of gerbils in each group were collected， and the rate of cerebral infarction was detected by 2，3，5-triphenyltetrazolium chloride（TTC）， and the levels of interleukin（IL）-6， tumor necrosis factor（TNF）-α， malondialdehyde（MDA）， superoxide dismutase（SOD）， glutathione（GSH）， and nitric oxide（NO） in serum and brain tissue were determined by enzyme-linked immunosorbent assay（ELISA）. The urine metabolomics of gerbils in each group was studied by ultra performance liquid chromatography-quadrupole-electrostatic field orbitrap high resolution mass spectrometry（UPLC-Q-Orbitrap-MS）， and the data were processed by multivariate statistical analysis， and differential metabolites were screened based on value of variable importance in the projection（VIP） of the first principal component>1 and t-test P<0.05. Metabolic pathway analysis of the screened differential metabolites was performed using Kyoto Encyclopedia of Genes and Genomes（KEGG） database and Metaboanalyst 5.0. ResultCompared with the CG， the neurological deficit score was significantly increased in the MG（P<0.05）， compared with the MG， the neurological deficit scores in the RA and RT were significantly reduced after 7 d and 14 d（P<0.05）. Compared with the CG， the rate of cerebral infarction was significantly increased in the MG（P<0.05）， compared with the MG， the rates of cerebral infarction in the RA and RT were significantly reduced（P<0.05）. Compared with the CG， the levels of IL-6， TNF-α， and MDA in the serum and brain tissue of gerbils from the MG were significantly increased（P<0.05）， and the levels of SOD， GSH and NO were significantly reduced（P<0.05）. Compared with the MG， Aconiti Coreani Radix and Typhonii Rhizoma could down-regulate the levels of IL-6， TNF-α and MDA， and up-regulated the levels of SOD， GSH and NO. A total of 112 endogenous differential metabolites were screened by urine metabolomics， of which 16 and 26 metabolites were called back by Aconiti Coreani Radix and Typhonii Rhizoma， and could be used as potential biomarkers for both treatments in stroke gerbils， respectively. The results of the pathway analysis showed that both Aconiti Coreani Radix and Typhonii Rhizoma had regulatory effects on arginine and proline metabolism， pyrimidine metabolism， and aminoacyl-tRNA biosynthesis. In addition， Aconiti Coreani Radix could also regulate riboflavin metabolism， Typhonii Rhizoma could also regulate purine metabolism， glycine， serine and threonine metabolism， arachidonic acid metabolism， biosynthesis of pantothenate and coenzyme A， and β-alanine metabolism. ConclusionBoth Aconiti Coreani Radix and Typhonii Rhizoma have better therapeutic effects on stroke， with Aconiti Coreani Radix having stronger effects. From the metabolomics results， the main metabolic pathways regulated by Aconiti Coreani Radix involve amino acid metabolism， oxidative stress and so on， while Typhonii Rhizoma mainly involve amino acid metabolism， lipid metabolism， energy metabolism， etc.