Objective:To investigate the current status of standardized residency training (SRT) teaching activities at Zhongshan Hospital affiliated to Fudan University, and to explore optimization strategies.Methods:We collected behavioral data from the SRT course selection platform and resident questionnaire survey data throughout 2024. Descriptive analysis, chi-square test, Mann-Whitney U test, and multivariable logistic regression analysis were performed. Results:A total of 170 teaching sessions were conducted in 2024, with interactive practice-based sessions accounting for 42.35% and lecture-based sessions accounting for 47.06%. According to 536 questionnaires, residents' overall satisfaction with teaching activities scored 87.83 points (high satisfaction, ≥85 points; moderate satisfaction, <85 points). The proportion of high satisfaction with interactive practice-based sessions was significantly higher than that with lecture-based sessions (82.81% vs. 75.46%, P=0.034). The enrollment for weekday evening courses filled up significantly faster than that for weekday daytime courses [4 (2, 6) seconds vs. 12 (8, 15) seconds, P<0.001]. Interactive practice-based sessions [odds ratio ( OR)=1.6, 95% CI=1.1-2.3, P=0.018] and weekday evening sessions ( OR=1.4, 95% CI=1.0-2.0, P=0.048) significantly improved resident satisfaction. Conclusions:Optimizing course formats and scheduling can enhance the quality of SRT teaching activities.

Objective:To develop an artificial intelligence（AI）-based sequential ultrasound-magnetic resonance imaging（US-MRI）diagnostic strategy to optimize the imaging workflow for ovarian masses.Methods:A total of 1 120 patients with pathologically confirmed ovarian masses who underwent both preoperative pelvic ultrasound and MRI between January 2021 and December 2023 at Women's Hospital，Zhejiang University School of Medicine were retrospectively included. Patients were randomly divided into the training（ n=672）and internal test set（ n=448）at a ratio of 6∶4. An external test set（ n=128）was established at the Forth Affiliated Hospital of School of Medicine. Deep learning was used for automated segmentation of MRI lesions，followed by radiomic feature extraction and machine learning classification to construct both a US-MRI multimodal model and sequential US-MRI strategy. Diagnostic performance and potential healthcare cost-saving effects were evaluated across strategies. Results:In the internal test set（ n=448），the AI-based sequential US-MRI strategy achieved a F1 score of 0.863 and a diagnostic accuracy of 82.14%，with no significant difference compared to the US-MRI multi-modal model（ P>0.05）. The sequential strategy identified 82 cases（18.30%，82/448）of patients as low-risk true negatives during initial ultrasound screening，suggesting a potential to reduce the need for MRI examinations in future clinical practice. In the external test set（ n=128），the strategy achieved an F1 score of 0.800 and a confirmed diagnosis rate of 85.94%，with a theoretical reduction of 26.56%（34 cases）in MRI utilization while maintaining a diagnostic accuracy rate higher than that of the multi-modal model（82.18%）. Conclusions:The AI-based US-MRI sequential diagnostic strategy demonstrates favorable diagnostic accuracy while offering the potential to optimize MRI utilization. This approach may enhance the efficiency of imaging resource allocation and reduce healthcare burden in the management of ovarian masses.

Objective:To develop the Nurse Parenting Stress Scale and evaluate its reliability and validity.Methods:Based on Abidin's Parenting Stress Theory, scale items were generated through literature review and semi-structured interviews. The initial version was constructed via Delphi expert consultation. Using a convenience sampling method, nurses from six hospitals in Shandong Province were surveyed between August and October 2024. The first survey collected 314 questionnaires (308 valid, effective recovery rate 98.1%) for item analysis and exploratory factor analysis (EFA). The second survey collected 458 questionnaires (447 valid, effective recovery rate 97.6%) for confirmatory factor analysis (CFA) .Results:The Nurse Parenting Stress Scale consists of 4 dimensions and 31 items. The Cronbach's α coefficient of the total scale was 0.951, split-half reliability was 0.782, and test-retest reliability was 0.926. EFA extracted four common factors explaining 70.241% of the cumulative variance. CFA demonstrated a good model fit. The item-level content validity index ( I- CVI) ranged from 0.889 to 1.000, the scale-level universal agreement content validity index ( S- CVI/ UA) was 0.903, and the scale-level average content validity index ( S- CVI/ Ave) was 0.989. Conclusions:The Nurse Parenting Stress Scale shows strong reliability and validity and can serve as an effective tool for assessing parenting stress among nurses.

Objective:To develop the Nurse Parenting Stress Scale and evaluate its reliability and validity.Methods:Based on Abidin's Parenting Stress Theory, scale items were generated through literature review and semi-structured interviews. The initial version was constructed via Delphi expert consultation. Using a convenience sampling method, nurses from six hospitals in Shandong Province were surveyed between August and October 2024. The first survey collected 314 questionnaires (308 valid, effective recovery rate 98.1%) for item analysis and exploratory factor analysis (EFA). The second survey collected 458 questionnaires (447 valid, effective recovery rate 97.6%) for confirmatory factor analysis (CFA) .Results:The Nurse Parenting Stress Scale consists of 4 dimensions and 31 items. The Cronbach's α coefficient of the total scale was 0.951, split-half reliability was 0.782, and test-retest reliability was 0.926. EFA extracted four common factors explaining 70.241% of the cumulative variance. CFA demonstrated a good model fit. The item-level content validity index ( I- CVI) ranged from 0.889 to 1.000, the scale-level universal agreement content validity index ( S- CVI/ UA) was 0.903, and the scale-level average content validity index ( S- CVI/ Ave) was 0.989. Conclusions:The Nurse Parenting Stress Scale shows strong reliability and validity and can serve as an effective tool for assessing parenting stress among nurses.

Objective:To investigate the current status of standardized residency training (SRT) teaching activities at Zhongshan Hospital affiliated to Fudan University, and to explore optimization strategies.Methods:We collected behavioral data from the SRT course selection platform and resident questionnaire survey data throughout 2024. Descriptive analysis, chi-square test, Mann-Whitney U test, and multivariable logistic regression analysis were performed. Results:A total of 170 teaching sessions were conducted in 2024, with interactive practice-based sessions accounting for 42.35% and lecture-based sessions accounting for 47.06%. According to 536 questionnaires, residents' overall satisfaction with teaching activities scored 87.83 points (high satisfaction, ≥85 points; moderate satisfaction, <85 points). The proportion of high satisfaction with interactive practice-based sessions was significantly higher than that with lecture-based sessions (82.81% vs. 75.46%, P=0.034). The enrollment for weekday evening courses filled up significantly faster than that for weekday daytime courses [4 (2, 6) seconds vs. 12 (8, 15) seconds, P<0.001]. Interactive practice-based sessions [odds ratio ( OR)=1.6, 95% CI=1.1-2.3, P=0.018] and weekday evening sessions ( OR=1.4, 95% CI=1.0-2.0, P=0.048) significantly improved resident satisfaction. Conclusions:Optimizing course formats and scheduling can enhance the quality of SRT teaching activities.

Objective:To develop an artificial intelligence（AI）-based sequential ultrasound-magnetic resonance imaging（US-MRI）diagnostic strategy to optimize the imaging workflow for ovarian masses.Methods:A total of 1 120 patients with pathologically confirmed ovarian masses who underwent both preoperative pelvic ultrasound and MRI between January 2021 and December 2023 at Women's Hospital，Zhejiang University School of Medicine were retrospectively included. Patients were randomly divided into the training（ n=672）and internal test set（ n=448）at a ratio of 6∶4. An external test set（ n=128）was established at the Forth Affiliated Hospital of School of Medicine. Deep learning was used for automated segmentation of MRI lesions，followed by radiomic feature extraction and machine learning classification to construct both a US-MRI multimodal model and sequential US-MRI strategy. Diagnostic performance and potential healthcare cost-saving effects were evaluated across strategies. Results:In the internal test set（ n=448），the AI-based sequential US-MRI strategy achieved a F1 score of 0.863 and a diagnostic accuracy of 82.14%，with no significant difference compared to the US-MRI multi-modal model（ P>0.05）. The sequential strategy identified 82 cases（18.30%，82/448）of patients as low-risk true negatives during initial ultrasound screening，suggesting a potential to reduce the need for MRI examinations in future clinical practice. In the external test set（ n=128），the strategy achieved an F1 score of 0.800 and a confirmed diagnosis rate of 85.94%，with a theoretical reduction of 26.56%（34 cases）in MRI utilization while maintaining a diagnostic accuracy rate higher than that of the multi-modal model（82.18%）. Conclusions:The AI-based US-MRI sequential diagnostic strategy demonstrates favorable diagnostic accuracy while offering the potential to optimize MRI utilization. This approach may enhance the efficiency of imaging resource allocation and reduce healthcare burden in the management of ovarian masses.

AIM: To assess the accuracy of predicting intraocular lens(IOL)power after myopic refractive surgery using the Pentacam system's true net power(TNP)in the 3 mm zone combined with the SRK/T formula [i.e. TNP 3 mm(SRK/T)].METHODS: Retrospective study. This study enrolled 35 cases(50 eyes)of patients undergoing cataract surgery after laser assisted in situ keratomileusis(LASIK)or photorefractive keratectomy(PRK)from July 2019 to December 2021. Preoperatively, IOL power of 50 eyes, 34 eyes and 41 eyes was calculated by TNP 3 mm(SRK/T), Barrett True-K and Olsen 2 formulas, respectively, with at least 2 formulas used to calculate IOL power for each patient. The actual diopter was recorded 3 mo postoperatively. Prediction errors(PE)of IOL power were compared among the three calculation methods, and the proportion of eyes with PE within ±0.5 D and ±1.0 D was analyzed.RESULTS: The PE at 3 mo postoperatively for TNP 3 mm(SRK/T), Barrett True-K, and Olsen 2 was -0.02±0.63, -0.54±0.80, and 0.25±0.80 D, respectively(P<0.001). The proportions of PE within ±0.5 D were 66%(33/50), 44%(15/34)and 37%(15/41), respectively(P<0.05); the proportions of PE within ±1.0 D were 88%(44/50), 71%(24/34)and 80%(33/41), respectively(P>0.05).CONCLUSION: The Pentacam TNP 3 mm(SRK/T)method is simple to operate and provides accurate calculation of IOL power after corneal refractive surgery.

Objective To screen the risk factors and risk prediction model for coronary atherosclerotic heart disease in Xining area. Methods Five hundred and eighteen patients with coronary atherosclerotic heart disease who attended the Qinghai Specialized Hospital for Cardiovascular and Cerebrovascular Diseases and Cerebrovascular Diseases from May 2018 to September 2022 were selected as the observation group, and another 421 patients with non-coronary heart disease were set as control group. The general information of patients were collected. The risk factors affecting the development of coronary heart disease were screened using Logistic regression analysis, and a risk prediction model was constructed, then receiver operating characteristic (ROC) curve was plotted to validate the predictive value of risk model. Results The gender ratio and smoking history yielded no statistical difference between two groups (P>0.05), but statistical difference was found in age, body mass index (BMI), diabetes history, hypertension history, smoking history and family history between two groups (P<0.05). Serum levels of total cholesterol (TC), low-density lipoprotein (LDL) and uric acid (UA) were all higher than the control group, and serum high-density lipoprotein (HDL) level was lower than the control group, with statistical difference (all P<0.05). Multivariate Logistic regression analysis denoted that age, BMI, diabetes history, hypertension history, smoking history, family history, TC, LDL, and UA were risk factors for the development of coronary heart disease (P<0.05). ROC curve analysis yielded an AUC of 0.890 for the risk model, with a sensitivity and specificity of 72.03% and 91.14%, respectively. Conclusion Patient's age, BMI, and the presence of diabetes mellitus, hypertension and smoking, family history, abnormal blood lipid profiles, and abnormal blood uric acid are all risk factors for the development of coronary heart disease, and the risk model constructed on the basis of the above risk factors has a high degree of sensitivity and specificity, which is of great value in accurately evaluating the risk of coronary heart disease.

Objective:To analyze the research hotspots and trends in the field of emergency nursing safety management at home and abroad through bibliometrics, and to provide reference for the research and clinical practice of emergency nursing safety management in China.Methods:The relevant literature in the field of emergency nursing safety management in China National Knowledge Infrastructure and Web of Science databases were searched from January 1, 2014 to December 31, 2023. CiteSpace6.2.R7 software was used for keyword co-occurrence, clustering and mutation analysis, and the hotspot and development trend of the literature were analyzed.Results:A total of 883 literatures were included, including 665 Chinese literatures and 218 English literatures.Nursing safety management had attracted much attention in China, but there were few high-level studies.And the foreign related research had steadily increased. The content of foreign literature was different from that of domestic literature. Chinese literature focused on nursing risk, nursing quality, nursing management, application effectiveness, emergency triage, etc, and focused on critically ill patients.The English literature mainly focused on medical errors, risk management, organizational culture, maternal investment, emergency department, training, depression, emergency care systems,improvement, etc.Conclusions:The research on emergency nursing safety management in China is still in the initial stage. In the future, it is necessary to strengthen safety culture construction, adverse event management, emergency observation, establishment of safety management measures, drug safety management strategies, and patient satisfaction, etc.

Objective To explore the current status of post-traumatic stress disorder(PTSD)symptoms among military officers at high altitude,determine the effects of childhood trauma experiences on the symptoms,and investigate the role of parent-child alienation in the process.Methods A cross-section study was conducted on 238 male military officers at high altitude subjected with cluster sampling.All of them were surveyed with childhood trauma question(CTQ),inventor of alienation toward parents(IAP),and Post-traumatic Stress Disorder Checklist(PCL-C)in October 2021.Then the mediating effect of parent-child alienation on childhood trauma and PTSD symptoms was investigated.Results ①The prevalence of PTSD-positive symptoms was 8.5％among the military officers at high altitude.②The prevalence of PTSD-positive symptoms was 15.6％for the military officers with childhood trauma,which was significantly higher than that of those without childhood trauma(5.1％,Chi-square=7.27,P＜0.01).③ PTSD symptoms,childhood trauma experiences and parent-child alienation were significantly positively correlated with each other(r=0.35～0.76,P＜0.01).④ Both childhood physical abuse(β=1.05,P＜0.001)and parent-child alienation(β=0.39,P＜0.01)could positively predict the severity of PTSD symptoms for them.⑤Parent-child alienation played a partial mediating role in the association between physical abuse and PTSD symptoms(β=1.16,95％CI:0.54～1.75).Conclusion Military officers at high altitude with childhood trauma have a higher prevalence of PTSD-positive symptoms and more severe symptoms.Childhood physical abuse can not only directly affect PTSD symptoms,but also indirectly affect its severity through parent-child alienation.