Objective:To construct an evaluation index system for clinical practice effectiveness of undergraduate nursing students, so as to provide a basis for the evaluation of clinical practice effectiveness of undergraduate nursing students.Methods:Based on the improved Miller's pyramid theory, a preliminary evaluation index system for clinical practice effectiveness of nursing undergraduate students was formed by literature analysis and semi-structured interview method. From April to July 2023, purposive sampling was used to select 20 experts in nursing education, clinical nursing teaching, and other fields. After two rounds of Delphi expert consultation, a final evaluation index system for clinical practice effectiveness of undergraduate nursing students was formed, and the weights of each index were determined.Results:After two rounds of consultation, the effective response rates of the questionnaire were 95.00% (19/20) and 100.00% (19/19), respectively. The expert authority coefficients were 0.86 and 0.88, and the Kendall harmony coefficients were 0.226 and 0.183 ( P<0.01). The final established evaluation index system for clinical practice effectiveness of undergraduate nursing students included five primary indicators, 13 secondary indicators, and 56 tertiary indicators. Conclusions:Based on the improved Miller's pyramid theory, the evaluation index system for clinical practice effectiveness of undergraduate nursing students constructed is scientific, reliable, and practical, which can provide reference for the evaluation of clinical practice for undergraduate nursing students.

Objective To explore the metabolic markers of social anxiety disorder in schizophrenia patients with social anxiety disorder through metabolomic sequencing analysis.Methods From December 2022 to December 2023,a case-control study was carried out in the Neuropsychiatric Prevention and Control Hospital of Fuzhou Second General Hospital.One hundred sixty patients with schizophrenia were included in the study.The Diagnostic and Statistical Manual of Mental Disorders,fourth edition(DSM-Ⅳ)and Liebowitz social anxiety scale(LSAS)scores were used to classify subjects as patients with social anxiety disorder(n=64)and controls without social anxiety disorder(n=96).Peripheral blood samples were collected for non-targeted metabolomic sequencing,and the metabolites with statistical differences were analyzed by receiver operating characteristic(ROC)curve to find metabolic markers that may affect social anxiety disorder in schizophrenia patients.Results There were significant differences in 12 metabolites between the two groups(P<0.05).In ROC curve analysis,the top 3 metabolites with area under curve(AUC)values were 3-O-trans-coumaryl-alphetolic acid(AUC=0.637),3-mercaptopropionic acid(AUC=0.602)and nona-2-acylcarnitine(AUC=0.600).Conclusion In this study,the potential diagnostic metabolic markers of 3-O-trans-coumaryl-alphitoic acid,3-mercaptopropionic acid,nonyl-2-acylcarnitine as diagnostic metabolic markers can effectively distinguish patients with schizophrenia social anxiety disorder from patients with schizophrenia without social anxiety disorder.

There are many treatment options for cancer,and patients need to repeatedly weigh the pros and cons when choosing,consider various health risks and the impact on their families,and are prone to decision-making fatigue,which not only affects their decision-making judgment,but also may affect their physical and mental health.This paper summarizes the concept,theoretical model,and evaluation tools of decision fatigue,and summarizes the influencing factors and coping strategies of decision fatigue in cancer patients,which can provide a reference for domestic medical staff to further develop personalized decision support tools and carry out relevant clinical practice and scientific research.

Objective The purpose of writing the"Expert consensus on the prevention and control of intracranial hypertension in adult critical illness"(here in after referred to as the"Consensus")aimed to standardize the nursing work related to the prevention and control of elevated intracranial pressure in adult critical illness,and prevent the occurrence of complications such as cerebral herniation.Methods Guided by evidence-based practice,domestic and foreign databases were searched for guidelines,expert consensuses,systematic evaluation,evidence summaries,and original research related to increased intracranial pressure.The search period is from database establishment to March 2024.The high-quality evidence and suggestions in the field was evaluated,extracted,and summarized to form a preliminary consensus.27 experts were invited to conduct 2 rounds of expert inquiry and 8 experts were invited to conduct 2 expert discussion meetings,to revise and improve the content of the initial draft,and to ultimately form a final consensus.Results The effective response rates for both rounds of inquiry questionnaires were 100％,with expert authority coefficients of 0.884,judgment coefficients of 0.964,and familiarity levels of 0.804.The Kendall harmony coefficients for 2 rounds of inquiry were 0.107 and 0.083(P＜0.01),respectively.The consensus includes 4 aspects,including identification,monitoring,prevention and control strategies,emergency treatment and care for increased intracranial pressure.Conclusion This"Consensus"has strong scientific validity and can provide reference basis for nurses to carry out prevention and control of intracranial pressure increase.

Objective To explore the effect of Orem self-care mode on disease management ability and quality of life of diabetic patients.Methods A total of 130 patients with diabetes were divided into the control group and the observation group by random number table method,65 cases in each group.The control group underwent routine nursing intervention,and the observation group were treated with Orem self-care mode.The intervention effects of the two groups were compared.Results After the intervention,the knowledge of diabetes management,the self-care ability and the improvement of quality of life in the observation group were better than those in the control group(P<0.05).Conclusion The application of Orem self-care mode can significantly improve patients'cognition of the disease and self-management ability,which is of great significance to improve patients'condition and improve their quality of life.

Based on the practice of intelligent construction of medical education in Fuwai Hospital of CAMS&PUMC in recent years,this article deeply discusses the important role of R & D management thinking of integrated product development(Integrated Product Development,IPD)in the intelligent construction of hospital education.By building an intelligent platform for medical education,we can help hospitals improve their teaching strength in an all-round way,provide strong technical support for the performance evaluation of third-tier public hospitals,greatly improve the operational efficiency of hospitals,and firmly grasp the pulse of the times.to provide new solutions for the construction of hospital education intelligence system.

Objective To explore the feasibility of ultrasonic measurement of the skin to hyoid bone distance,skin to epiglottis distance and skin to anterior commissure of vocal cords distance for predicting difficult laryngoscopy exposure in obstructive sleep apnea hypopnea syndrome(OSAHS)patients.Methods One hundred and fifty OSAHS patients with ASAⅠ-Ⅲ level,who underwent elective uvulopalatopharyngoplasty(UPPP)surgery under general anesthesia,were analyzed.Rountine airway assessment(Mallampati classification)and ultrasound measurement of the skin to hyoid bone distance,skin to epiglottis distance and skin to anterior commissure of vocal cords distance were performed before anesthesia.Intubation under direct laryngoscopy and the classification of laryngoscopy exposure was recorded.Cormack-Lehane classification Ⅲ-Ⅳ grade was defined as difficult laryngoscopy exposure.According to the classification results,patients were divided into two groups:non-difficult laryngoscopy exposure group and difficult laryngoscopy exposure group.We analyzed and compared the Malampati grading and ultrasound measurements between two groups.The receiver operating characteristic(ROC)curve and the optimal cut-off point of ultrasonic measurements were calculated.The effects of different methods for predicting difficult laryngoscopy exposure were analyzed.Results The proportion of cases whose Mallampati airway classification grade>Ⅱ in difficult laryngoscopy exposure group was significantly more than that in non-difficult laryngoscopy exposure group(P＜0.05).The skin to hyoid bone distance and skin to epiglottis distance in difficult laryngoscopy exposure group were significantly longer than those in non-difficult laryngoscopy exposure group(P＜0.05).The optimal cut-off point of the skin to hyoid bone distance and skin to epiglottis distance were 1.12 cm and 2.23 cm respectively.There was no significant difference in the skin to anterior commissure of vocal cords distance between two groups.Conclusions Ultrasound measurement of the skin to hyoid bone distance and skin to epiglottis distance had a good predictive value in difficult laryngoscopy exposure of the OSAHS patients.

Objective To investigate the relationship between left ventricular hypertrophy(LVH)diagnosed by Peguero-Lo-Presti index and recurrence of paroxysmal atrial fibrillation(AF)after radiofrequency ablation.Methods A total of 652 patients with paroxysmal atrial fibrillation who underwent radiofrequency ablation were selected.According to Peguero-Lo-Presti index,patients were divided into the LVH group(167 cases)and the normal left ventricle group(485 cases).Baseline data were collected,and regular follow-up was performed at 3,6 and 12 months after radiofrequency catheter ablation.The recurrence of AF was assessed.Kaplan-Meier survival curve was used to analyze the recurrence rate of AF in the two groups.Cox proportional hazard model was used to assess risk factors for recurrent atrial fibrillation.Results The median follow-up time was 20.5(15.0,26.0)months.A total of 155 patients(23.8%)developed recurrence of AF,including 95 patients in the LVH group and 60 patients in the LVN group.The recurrence rate without AF was significantly lower in the LVH group than that in the LVN group(64.1%vs.80.4%,Log-rank χ2=26.361,P＜0.01).After adjusting for age,sex,body mass index,hypertension,diabetes,coronary heart disease,cardiac dysfunction,left anteroposterior and posterior atrial diameter,left ventricular end-diastolic diameter,and left ventricular ejection fraction,LVH diagnosed by Peguero-Lo-Presti index was still a risk factor for recurrent AF[HR(95%CI):2.359(1.663-3.345),P＜0.01].Conclusion In patients with paroxysmal AF,LVH diagnosed by Peguero-Lo-Presti index is a risk factor of AF recurrence after radiofrequency catheter ablation.

Objective:To investigate the diagnostic value of an intelligent assisted grading algorithm for nuclear cataract using anterior segment optical coherence tomography (AS-OCT) images.Methods:A diagnostic test study was conducted.AS-OCT image data were collected from 939 cases of 1 608 eyes of nuclear cataract patients at the Shanghai Tenth People's Hospital of Tongji University from November 2020 to September 2021.The data were obtained from the electronic case system and met the requirements for clinical reading clarity.Among them, there were 398 cases of 664 male eyes and 541 cases of 944 female eyes.The ages of the patients ranged from 18 to 94 years, with a mean age of (65.7±18.6) years.The AS-OCT images were labelled manually from one to six levels according to the Lens Opacities Classification System Ⅲ (LOCS Ⅲ grading system) by three experienced clinicians.This study proposed a global-local cataract grading algorithm based on multi-level ranking, which contains five basic binary classification global local network (GL-Net).Each GL-Net aggregates multi-scale information, including the cataract nucleus region and original image, for nuclear cataract grading.Based on ablation test and model comparison test, the model's performance was evaluated using accuracy, precision, sensitivity, F1 and Kappa, and all results were cross-validated by five-fold.This study adhered to the Declaration of Helsinjki and was approrved by Shanghai Tenth People's Hospital of Tongji University (No.21K216).Results:The model achieved the results with an accuracy of 87.81%, precision of 88.88%, sensitivity of 88.33%, F1 of 88.51%, and Kappa of 85.22% on the cataract dataset.The ablation experiments demonstrated that ResNet18 combining local and global features for multi-level ranking classification improved the accuracy, recall, specificity, F1, and Kappa metrics.Compared with ResNet34, VGG16, Ranking-CNN, MRF-Net models, the performance index of this model were improved.Conclusions:The deep learning-based AS-OCT nuclear cataract image multi-level ranking classification algorithm demonstrates high accuracy in grading cataracts.This algorithm may help ophthalmologists in improving the diagnostic accuracy and efficiency of nuclear cataract.

Objective:To evaluate the effect of propofol on parvalbumin (PV) neurons in the medical prefrontal cortex(mPFC)of rats with social behavior disorders induced by chronic sleep deprivation.Methods:Forty-two SPF male Sprague-Dawley rats, aged 8 weeks, weighing 200-250 g, were divided into 3 groups ( n=14 each) using a random number table method: control group (group Con), chronic sleep deprivation plus natural sleep group (group CSD+ NS), and chronic sleep deprivation plus propofol group (group CSD+ Pro). Sleep deprivation model was established by the modified multiple platform method, the rats were placed in the sleep-deprivation tank for 20 h a day (14: 00-10: 00), and allowed to sleep naturally for 4 h (10: 00-14: 00) a day for 28 consecutive days. Propofol 40 mg/kg was intraperitoneally injected for 28 consecutive days after sleep deprivation in CSD+ Pro group. While the equal volume of 10% fat emulsion was given in Con and CSD+ NS groups. After the end of sleep deprivation, a three-box social experiment was used to detect the social behavior of rats, and the number of the PV positive cells and density of the perineuronal network (PNN) in the mPFC area were measured by immunofluorescence. Results:Compared with group Con, the pertentage of rapid eye movement sleep and sniffing time preference coefficients for the strange rat 1 in the first stage and for the strange rat 2 in the second stage were significantly decreased, and the number of the PV positive cells and density of PNN in the mPFC area were decreased in group CSD+ NS ( P<0.05). Compared with group CSD+ NS, the sniffing time preference coefficients for the strange rat 1 in the first stage and for the strange rat 2 in the second stage were significantly increased, the number of the PV positive cells and density of PNN in the mPFC area were increased( P<0.05), and no significant change was found in the percentage of the rapid eye movement sleep in group CSD+ Pro. Conclusions:Propofol probably increases the number and function of PV neurons in the mPFC and ameliorates sleep deprivation-induced social behavior disorders in sleep-deprived rats.