With the rapid advancement of medical technology and the increasing complexity of clinical environments, competence in clinical ethical decision-making has become an indispensable core competency for exemplary physicians. However, traditional medical ethics education has long been confronted with the persistent challenges of theory-practice dissociation and the disconnect between pedagogical settings and clinical realities. Thus, how to construct a "Clinical Ethics" curriculum that aligns with the objectives of training high-caliber medical professionals has emerged as a critical and challenging issue in current medical education reform. To effectively address this challenge, the Office of Education at Peking University Third Hospital, since 2021, has assembled a multidisciplinary "Clinical Ethics" teaching and management team comprising faculty from Peking University School of Humanities and key clinical specialists from the hospital. In 2022, the "Clinical Ethics" elective course was formally launched for fourth-year students in the eight-year MD program who had completed coursework in "Medical Ethics" and organ-system-based curricula, with the aim of exploring and operationalizing a pre-clinical ethics education model tailored for senior medical students. The course employs a modular instructional design encompassing "theoretical review-case-based deliberation-clinical workshop", which effectively facilitates the deep integration of medical humanities with clinical practice.Following four years of iterative refinement through the "plan-act-observe-reflect" cycle, the course has demonstrated positive outcomes in enhancing students' ethical awareness and decision-making capabilities, and has preliminarily established a sustainable collaborative mechanism among the multidisciplinary faculty team. This article systematically delineates the course development background, pedagogical model and methodological innovations, and the multidisciplinary collaborative framework, alongside reflections and summaries based on implementation outcomes, with the intent of providing references for the future development of "Clinical Ethics" curricula.

Objective:To analyze the mediating effects of psychological resilience on the relationship between perceived social support and health behavior capacity in patients with ischemic stroke.Methods:In this cross-sectional study, 500 patients with ischemic stroke were consecutively recruited using purposive sampling in the First People′s Hospital of Lianyungang between July and September in 2023. The sociodemographic characteristics, perceived social support scale, psychological resilience questionnaire and self-rated abilities for health practices scale in the patients were collected. A total of 500 questionnaires were distributed and 493 questionnaires were collected, of which 473 (95.9%) were valid. The structural equation model was constructed to explore the mediating effects of psychological resilience on the relationship between perceived social support and health behavior capacity in patients with ischemic stroke.Results:Among the 473 patients included in the analysis, there were 254 males and 219 females, with an average age of (66.8±11.4) years. The duration of stroke was less than 3 months for 329 patients (69.6%); the scores for perceived social support, psychological resilience and health behavior capacity was (59.68±11.15), (23.68±6.52), and (60.54±23.52), respectively. Perceived social support exerted significant direct effect ( β=0.334, bias-corrected 95% CI: 0.232-0.438) on health behavior capacity in patients with ischemic stroke, accounting for 63.62% of the total effect. Psychological resilience played a mediating role in the relationship between perceived social support and health behavior capacity ( β=0.191, bias-corrected 95% CI: 0.142-0.248), accounting for 36.38% of the total effect (all P<0.05). Conclusion:The health behavior capacity of patients with ischemic stroke is at a moderately low level, perceived social support may positively affect health behavior capacity through the positive mediating effect of psychological resilience.

Objective:To construct a predictive model for postoperative delirium (POD) in patients undergoing gastrointestinal surgery using machine learning.Methods:This retrospective study used clinical data from patients who underwent gastrointestinal surgery at Subei People′s Hospital between September 2022 and April 2024. The entire dataset was randomly divided into the training and validation sets in an 8∶2 ratio. Multivariate logistic regression analysis was conducted to identify the factors influencing POD. Eleven machine learning models were established and compared. The performance of the models was validated using metrics, including accuracy, precision, recall, Youden′s index, F1 score, Matthews′ correlation coefficient, Kappa coefficient, log loss, and Brier score. Receiver operating characteristic and calibration curves were plotted to assess the discrimination and consistency of the model. Shapley additive explanations were used in Python for interpretative analysis of the model with the best predictive performance, and the importance of the feature parameters was ranked.Results:A total of 1, 785 patients were ultimately included, of which 833 (46.67%) experienced POD. The results of multivariate logistic regression analysis revealed that advanced age, lower preoperative serum calcium ion concentration, postoperative pulmonary infection, and higher preoperative systolic blood pressure were independent risk factors for POD in patients undergoing gastrointestinal surgery, while laparoscopic surgery was a protective factor ( P<0.05). Among the 11 machine learning models, the categorical feature gradient boosting model exhibited the best performance, with an area under the receiver operating characteristic curve of 0.82 (95% confidence interval 0.77-0.87). The ranking of feature importance indicated that age had the greatest contribution in predicting POD. Conclusions:The predictive model for POD established based on the categorical boosting algorithm has higher predictive efficacy and clinical application value in patients undergoing gastrointestinal surgery.

Objective To investigate the predictive value of the mini-fluid challenge test in elderly orthope-dic patients for post-spinal anesthesia hypotension.Methods Seventy-two elderly patients who underwent elective hip or knee replacement surgery were rigorously screened according to predefined inclusion and exclusion criteria.All patients were scheduled for subarachnoid block anesthesia.Subjects were grouped based on changes in blood pressure within 15 minutes of assuming a supine position following single-shot lumbar anesthesia.According to previ-ously established definitions of hypotension,they were categorized into either the hypotension group(H group)or the normal blood pressure group(N group).Prior to spinal anesthesia,a mini-fluid challenge test was conducted using noninvasive cardiac output monitoring to measure the change in stroke volume index(ΔSVI),and baseline circulatory data were recorded.Multivariate logistic regression analysis was employed to identify factors influencing outcomes in elderly patients undergoing orthopedic joint replacement surgery.Receiver operating characteristic(ROC)curves for ΔSVI were constructed,and the area under the curve(AUC)was calculated to evaluate its predic-tive performance.Results After spinal anesthesia,29 patients(40.27%)experienced hypotension.Compared with Group N,patients in Group H who experienced hypotension within 15 minutes while in a supine position were signifi-cantly older,had a higher proportion of ASA grade III,and a higher prevalence of hypertension(P<0.05).The analysis results indicated that ΔSVI was an independent influencing factor for post-lumbar anesthesia hypotension in elderly patients.ΔSVI demonstrated a sensitivity of 82.8%and a specificity of 81.4%in predicting post-spinal anes-thesia hypotension(PSAH)at a cut-off value of 0.805 or greater.There was a moderate positive linear correlation between the maximum decrease in systolic blood pressure(SBP)and ΔSVI(r=0.562,P<0.01).Conclusion The mini-fluid challenge test is an effective method for predicting hypotension in elderly orthopedic patients following spinal anesthesia.

Objective To explore the value of cranial CT perfusion imaging(CTP)parameters combined with head and neck CT angiography(CTA)in assessing collateral circulation status and predicting prognosis in acute ischemic stroke(AIS).Methods A retrospective analysis was carried out on 83 AIS patients who were treated in Taikang Xianlin Drum Tower Hospital from June 2018 to June 2023.CTP and head and neck CTA examinations were performed within 24 hours after admission.Digital subtraction angiography is the gold standard for assessing collateral circulation status in AIS patients.The general information of these patients was collected,and the patient's prognosis was evaluated using the modified Rankin scale through telephone or outpatient follow-up 90 days after the occurrence of AIS.Pearson or Spearman correlation was used to analyze the correlation between collateral circulation assessment and CTP parameters and head and neck CTA scores.The value of CTP parameters and head and neck CTA scores in predicting the prognosis of AIS patients was discussed using multivariate Logistic regression.Moreover,the receiver operating characteristic(ROC)curve was used to analyze the predictive value of CTP parameters,head and neck CTA,and the combination for the prognosis of AIS patients.Results The cerebral blood volume(CBV),cerebral blood flow(CBF),and CTA score were higher,while mean transit time(MTT)and time to peak(TTP)were shorter in the good collateral circulation group than in poor collateral circulation group(P<0.05).The collateral circulation status in AIS patients was negatively correlated with CBV,CBF,and CTA score,while positively correlated with MTT and TTP(P<0.05).Compared with poor prognosis group,good prognosis group had higher CBV,CBF,CTA,and shorter MTT and TTP(P<0.05).Multivariate Logistic regression analysis identified MTT and TTP as risk factors for poor prognosis,and CBV,CBF,and CTA scores as protective factors for poor prognosis in AIS patients(P<0.05).The ROC results showed that the area under the curve(AUC)of CBV,MTT,CBF,TTP,CTA score and the combination to predict the prognosis of AIS patients were 0.897,0.864,0.835,0.920,0.918,and 0.979,respectively,showing better predictive performance of the combination than single index alone(Z=2.194,2.910,2.521,2.229,2.171;P<0.05).Conclusion CTP parameters combined with CTA may effectively assess collateral circulation in patients with AIS and is significant for prognosis prediction.

Objective To investigate the predictive value of the mini-fluid challenge test in elderly orthope-dic patients for post-spinal anesthesia hypotension.Methods Seventy-two elderly patients who underwent elective hip or knee replacement surgery were rigorously screened according to predefined inclusion and exclusion criteria.All patients were scheduled for subarachnoid block anesthesia.Subjects were grouped based on changes in blood pressure within 15 minutes of assuming a supine position following single-shot lumbar anesthesia.According to previ-ously established definitions of hypotension,they were categorized into either the hypotension group(H group)or the normal blood pressure group(N group).Prior to spinal anesthesia,a mini-fluid challenge test was conducted using noninvasive cardiac output monitoring to measure the change in stroke volume index(ΔSVI),and baseline circulatory data were recorded.Multivariate logistic regression analysis was employed to identify factors influencing outcomes in elderly patients undergoing orthopedic joint replacement surgery.Receiver operating characteristic(ROC)curves for ΔSVI were constructed,and the area under the curve(AUC)was calculated to evaluate its predic-tive performance.Results After spinal anesthesia,29 patients(40.27%)experienced hypotension.Compared with Group N,patients in Group H who experienced hypotension within 15 minutes while in a supine position were signifi-cantly older,had a higher proportion of ASA grade III,and a higher prevalence of hypertension(P<0.05).The analysis results indicated that ΔSVI was an independent influencing factor for post-lumbar anesthesia hypotension in elderly patients.ΔSVI demonstrated a sensitivity of 82.8%and a specificity of 81.4%in predicting post-spinal anes-thesia hypotension(PSAH)at a cut-off value of 0.805 or greater.There was a moderate positive linear correlation between the maximum decrease in systolic blood pressure(SBP)and ΔSVI(r=0.562,P<0.01).Conclusion The mini-fluid challenge test is an effective method for predicting hypotension in elderly orthopedic patients following spinal anesthesia.

Objective:To investigate the prevalence of scoliosis among middle school students through school-based screening, and to analyze the correlations between axial trunk rotation (ATR) angle and Cobb angle among those with scoliosis considering gender, age, body mass index (BMI) and curve type, so as to provide references for early prevention and treatment.Methods:Random cluster sampling was used to enroll 9501 middle school students from 11 schools in the Hanyang District of Wuhan. They underwent a six-step scoliosis screening with a forward bending test, scoliometer measurements, and confirmatory X-ray examinations. The students exhibiting scoliosis were stratified by gender, age, BMI, and curve type. The correlation between ATR angle and Cobb angle was subsequently analyzed within each subgroup.Results:Scoliosis was observed in 358 of the students (150 boys and 208 girls), a positive screening rate of 3.8%. Moreover, the positive screening rate was significantly higher among the girls (4.8%) than among the boys (2.9%). There was a moderate Spearman correlation ( r=0.69) between the ATR and Cobb angles in 358 of the students with scoliosis, both the boys ( r=0.69) and the girls ( r=0.70). When it came to age, there was a positive correlation between the ATR and Cobb angles for students aged 13 to 16 irrespective of their BMI classification, except that there was no significant correlation between the two angles for those classified as obese. In terms of Peking Union Medical College (PUMC) classification, there was a positive correlation for those in types Ia, Ib, Ic, IIa, IIb, IIc and IId, but there was no significant correlation between the two angles for those in type III. Conclusions:Scoliosis is prevalent among the group of adolescents studied. Society, schools and parents need to prioritize prevention, heightened awareness, timely diagnosis and early treatment, particularly for girls. The ATR angle may serve as a practical surrogate for estimating Cobb angle severity in scoliosis screening for single-curve or double-curve cases. However, ATR measurements may yield false-negative results among those with triple-curve deformities or the obese, underscoring the need for supplementary diagnostic methods among such populations.

Objective To explore the value of cranial CT perfusion imaging(CTP)parameters combined with head and neck CT angiography(CTA)in assessing collateral circulation status and predicting prognosis in acute ischemic stroke(AIS).Methods A retrospective analysis was carried out on 83 AIS patients who were treated in Taikang Xianlin Drum Tower Hospital from June 2018 to June 2023.CTP and head and neck CTA examinations were performed within 24 hours after admission.Digital subtraction angiography is the gold standard for assessing collateral circulation status in AIS patients.The general information of these patients was collected,and the patient's prognosis was evaluated using the modified Rankin scale through telephone or outpatient follow-up 90 days after the occurrence of AIS.Pearson or Spearman correlation was used to analyze the correlation between collateral circulation assessment and CTP parameters and head and neck CTA scores.The value of CTP parameters and head and neck CTA scores in predicting the prognosis of AIS patients was discussed using multivariate Logistic regression.Moreover,the receiver operating characteristic(ROC)curve was used to analyze the predictive value of CTP parameters,head and neck CTA,and the combination for the prognosis of AIS patients.Results The cerebral blood volume(CBV),cerebral blood flow(CBF),and CTA score were higher,while mean transit time(MTT)and time to peak(TTP)were shorter in the good collateral circulation group than in poor collateral circulation group(P<0.05).The collateral circulation status in AIS patients was negatively correlated with CBV,CBF,and CTA score,while positively correlated with MTT and TTP(P<0.05).Compared with poor prognosis group,good prognosis group had higher CBV,CBF,CTA,and shorter MTT and TTP(P<0.05).Multivariate Logistic regression analysis identified MTT and TTP as risk factors for poor prognosis,and CBV,CBF,and CTA scores as protective factors for poor prognosis in AIS patients(P<0.05).The ROC results showed that the area under the curve(AUC)of CBV,MTT,CBF,TTP,CTA score and the combination to predict the prognosis of AIS patients were 0.897,0.864,0.835,0.920,0.918,and 0.979,respectively,showing better predictive performance of the combination than single index alone(Z=2.194,2.910,2.521,2.229,2.171;P<0.05).Conclusion CTP parameters combined with CTA may effectively assess collateral circulation in patients with AIS and is significant for prognosis prediction.

Objective:To construct a predictive model for postoperative delirium (POD) in patients undergoing gastrointestinal surgery using machine learning.Methods:This retrospective study used clinical data from patients who underwent gastrointestinal surgery at Subei People′s Hospital between September 2022 and April 2024. The entire dataset was randomly divided into the training and validation sets in an 8∶2 ratio. Multivariate logistic regression analysis was conducted to identify the factors influencing POD. Eleven machine learning models were established and compared. The performance of the models was validated using metrics, including accuracy, precision, recall, Youden′s index, F1 score, Matthews′ correlation coefficient, Kappa coefficient, log loss, and Brier score. Receiver operating characteristic and calibration curves were plotted to assess the discrimination and consistency of the model. Shapley additive explanations were used in Python for interpretative analysis of the model with the best predictive performance, and the importance of the feature parameters was ranked.Results:A total of 1, 785 patients were ultimately included, of which 833 (46.67%) experienced POD. The results of multivariate logistic regression analysis revealed that advanced age, lower preoperative serum calcium ion concentration, postoperative pulmonary infection, and higher preoperative systolic blood pressure were independent risk factors for POD in patients undergoing gastrointestinal surgery, while laparoscopic surgery was a protective factor ( P<0.05). Among the 11 machine learning models, the categorical feature gradient boosting model exhibited the best performance, with an area under the receiver operating characteristic curve of 0.82 (95% confidence interval 0.77-0.87). The ranking of feature importance indicated that age had the greatest contribution in predicting POD. Conclusions:The predictive model for POD established based on the categorical boosting algorithm has higher predictive efficacy and clinical application value in patients undergoing gastrointestinal surgery.

Objective:To investigate the prevalence of scoliosis among middle school students through school-based screening, and to analyze the correlations between axial trunk rotation (ATR) angle and Cobb angle among those with scoliosis considering gender, age, body mass index (BMI) and curve type, so as to provide references for early prevention and treatment.Methods:Random cluster sampling was used to enroll 9501 middle school students from 11 schools in the Hanyang District of Wuhan. They underwent a six-step scoliosis screening with a forward bending test, scoliometer measurements, and confirmatory X-ray examinations. The students exhibiting scoliosis were stratified by gender, age, BMI, and curve type. The correlation between ATR angle and Cobb angle was subsequently analyzed within each subgroup.Results:Scoliosis was observed in 358 of the students (150 boys and 208 girls), a positive screening rate of 3.8%. Moreover, the positive screening rate was significantly higher among the girls (4.8%) than among the boys (2.9%). There was a moderate Spearman correlation ( r=0.69) between the ATR and Cobb angles in 358 of the students with scoliosis, both the boys ( r=0.69) and the girls ( r=0.70). When it came to age, there was a positive correlation between the ATR and Cobb angles for students aged 13 to 16 irrespective of their BMI classification, except that there was no significant correlation between the two angles for those classified as obese. In terms of Peking Union Medical College (PUMC) classification, there was a positive correlation for those in types Ia, Ib, Ic, IIa, IIb, IIc and IId, but there was no significant correlation between the two angles for those in type III. Conclusions:Scoliosis is prevalent among the group of adolescents studied. Society, schools and parents need to prioritize prevention, heightened awareness, timely diagnosis and early treatment, particularly for girls. The ATR angle may serve as a practical surrogate for estimating Cobb angle severity in scoliosis screening for single-curve or double-curve cases. However, ATR measurements may yield false-negative results among those with triple-curve deformities or the obese, underscoring the need for supplementary diagnostic methods among such populations.