Objective To explore the effectiveness of the generative large language model MedGo in nursing decision-making for elderly patients with multimorbidity. Methods A quasi-randomized controlled trial study was conducted involving 6 junior nurses, 6 senior nurses and the MedGo model from January 1, 2025 to March 31, 2025 at the Emergency Internal Medicine Ward of Shanghai East Hospital Affiliated to Tongji University. Clinical data of 120 elderly patients with multimorbidity were analyzed to compare the performance of the three groups in four tasks (nursing diagnosis assessment, nursing intervention formulation, complication identification, and complication prevention) from three evaluation dimensions: decision-making time consumption, decision accuracy, and decision-making quality. Results In terms of decision-making time, the senior nurse group completed all four tasks faster than the junior nurse group (P＜0.01), and the MedGo group completed all four tasks faster than the junior nurse group (P＜0.001) and the senior nurse group (P＜0.001). In terms of decision-making accuracy, senior nurse group scored higher than junior nurse group in all four tasks (P＜0.001), while the MedGo group outperformed the senior nurse group only in complication identification (P＜0.001). In terms of decision-making quality, the MedGo group scored higher than junior nurse group (P＜0.001) and senior nurse group (P＜0.001) in all four tasks. Conclusions The MedGo model demonstrates advantages of high efficiency, accuracy, and quality in nursing decision-making for elderly patients with multimorbidity; senior nurses outperform junior nurses in decision-making, providing diverse references for clinical nursing decision-making.

With the rapid increase in the ownership of MRI equipment in China,quality control,particularly in clinical usage aspects,has become critically important.For clinical quality control of MRI systems,it is essential to establish comprehensive workflow principles encompassing multiple elements such as personnel,equipment,standards,tools and methodologies.To advance the standardization and widespread adoption of clinical quality control for MRI equipment,efforts must focus on strengthening regulatory frameworks,advancing phantom research,development and enhancing professional expertise.Concurrently,continuous improvements in training programs and supervision mechanisms are necessary to ensure the effective implementation of MRI clinical quality control practices.Furthermore,in the era of digital healthcare,clinical quality assurance for MRI equipment is evolving toward automation and intelligent solutions,providing higher-quality and more efficient assurance for clinical applications.

Purpose To measure the spatial resolution in MRI quality control testing automatically based on the American College of Radiology(ACR)phantom using the support vector machine(SVM)method,and the feasibility,accuracy and measurement speed of this method are explored.Materials and Methods Quality control tests were performed using eight MRI devices at Beijing Friendship Hospital of Capital Medical University.A retrospective study was conducted on 71 MRI quality control test images collected based on ACR phantoms between 2017 and 2019.The images were preprocessed by binarization,extraction region of interest and so on.An SVM-based classification model was constructed for analyzing the spatial resolution of dot arrays in row and column directions.The dataset was randomly split into a training set and a test set.The generalization performance of the classification model in this study was evaluated through accuracy,precision,recall and F1 score on the test set.Comparing the results of spatial resolution measurements obtained by both manual and automatic method,we demonstrated the feasibility and accuracy of the method.Additionally,the time taken for the automatic spatial resolution measurement was recorded.Results In this study,the proposed method of automatically measuring the spatial resolution of ACR phantom test images using SVM was feasible,high accuracy and short time.In classification performance test,the accuracy of the spatial resolution of the row directional latices was 95%,the precision was 100%.The accuracy of the spatial resolution of the column directional latices was 97%,the precision was 100%.Among the test cases,the results of automatic measurements matched those of manual measurements in 13 out of 14 cases.On average,automatic spatial resolution measurement took 0.158 seconds per case.Conclusion This study achieves automatic measurement of spatial resolution in MRI quality control based on the ACR phantom using SVM method.The method demonstrates high accuracy and fast measurement speeds,holding significant implications for future rapid MRI quality control stability testing.

Purpose To explore an automatic detection method for quality control performance indicators of radio frequency coils based on American College of Radiology(ACR)phantom,and verify its accuracy stability and computational efficiency.Materials and Methods A retrospective study was conducted on 50 quality control images collected based on ACR phantom in Beijing Friendship Hospital,Capital Medical University from May 2017 to July 2019.The measurement and calculation methods of signal noise ratio(SNR),percent image uniformity(PIU)and percent signal ghosting(PSG)were used to automatically calculate the above indicators using a self-designed program in Python.A simple linear regression analysis on the automatically calculated SNR,PSG and PIU values compared to the manually measured results was performed,and Bland-Altman analysis was used to calculate the percentage difference to evaluate the consistency and bias between the performance indicators calculated by the two methods.The time consumption of two detection methods was compared to verify their computational complexity and efficiency.Results There was a strong correlation between the performance indicators SNR,PSG and PIU of radio frequency coils measured and calculated automatically and manually(r=0.991 4,0.992 8 and 0.909 8,all P<0.0001).The Bland-Altman results showed that most of the data fall within the 95%confidence interval and were evenly distributed.In terms of computational complexity and efficiency,compared to the complex manual delineation and calculation of 2-3 minutes per case,automatic detection could simultaneously obtain SNR,PSG and PIU values in less than 1 second.Conclusion The automatic and manual measurement methods have good consistency,and the automatic detection method is easy to operate,which is helpful for the daily quality control work and performance monitoring of radio frequency coils.

Purpose To explore the diagnostic value of two-dimensional speckle tracking echocardiography(2D-STE)in differentiating left ventricular hypertrophy(LVH)caused by Fabry disease from other etiologies.Materials and Methods A total of 23 patients clinically confirmed Fabry disease with LVH(Fabry disease group)in Peking University First Hospital from August 2014 to February 2023,retrospectively.23 patients with hypertensive LVH(hypertensive LVH group)and 23 with hypertrophic cardiomyopathy(HCM)(HCM group)were also included.Conventional echocardiographic parameters and 2D-STE-derived left atrial strain and left ventricular longitudinal strain were analyzed and compared among the three groups.LASSO regression was used to select variables and construct a diagnostic model to differentiate hypertensive LVH,HCM and Fabry disease group.Results The Fabry disease group showed significantly reduced left ventricular global longitudinal strain and segmental left ventricular longitudinal strain in the basal anterior wall,basal anterolateral wall and mid inferior wall compared to the hypertensive LVH group(P<0.05).There were no significant differences in left atrial strain,left ventricular global longitudinal strain and segmental left ventricular longitudinal strain between the Fabry disease and HCM groups(P>0.05).Compared to the conventional echocardiography-based model,the combined model did not significantly improve diagnostic accuracy for differentiating the three etiologies(Z=-1.314--0.594,all P>0.05).Conclusion Compared to patients with hypertensive LVH,HCM and Fabry disease group exhibit varying degrees of decrease in global and segmental longitudinal strain of the left atrium and left ventricle.Additional measurements of left ventricular longitudinal strain and left atrial strain do not provide significant incremental diagnostic value over conventional echocardiography in distinguishing among Fabry disease,hypertensive LVH and HCM.

Objective:To develop an evidence-based nursing practice program based on the Stetler model to extend the lifespan of arteriovenous fistulas (AVF) in maintenance hemodialysis (MHD) patients and evaluate its effectiveness.Methods:An evidence-based nursing practice program was constructed based on the best evidence for extending AVF lifespan in MHD patients. Expert group discussions were held to determine review indicators. A baseline survey was conducted among 100 MHD patients and 42 nurses using covenience sompling at the Blood Purification Center of Wuxi People's Hospital from January to December 2023, to identify barriers and facilitators. In the following year, from January to December 2024, the evidence-based practice was implemented at the same hospital, and the AVF surgical intervention rate and AVF self-management levels of MHD patients were compared before and after the practice.Results:No statistically significant difference was found in the AVF surgery rates before and after the evidence-based practice ( P>0.05) . However, after implementing the evidence-based practice, MHD patients' scores on the AVF self-management scale significantly improved, and the difference was statistically significant ( P<0.01) . Conclusions:The evidence-based practice based on the Stetler model is beneficial for standardizing the clinical management of AVF, reducing the need for surgical interventions, and improving MHD patients' ability to self-manage their AVF.

Objective:To construct an indicator system for a nursing science and technology innovation curriculum guided by innovation competence, in order to provide a reference for cultivating innovation ability in nursing students.Methods:The overall research period was from March to December 2024. A nursing innovation curriculum indicator framework was initially developed through literature analysis and brainstorming. From October to December 2024, 19 experts from nine hospitals or universities across five provinces and cities were selected via purposive sampling to participate in two rounds of Delphi consultation. Revisions were made based on expert feedback.Results:Both rounds of expert consultation achieved a 100% response rate. The authority coefficient of the experts was 0.92. The final indicator system included four curriculum elements: course content, course objectives, teaching methods, and assessment, encompassing 14 first-level indicators and 40 second-level indicators.Conclusions:The innovation-oriented indicator system for nursing science and technology education demonstrates good scientific validity and reliability. It offers a foundational framework for advancing innovation-focused nursing education and curriculum design.

Objective To understand the current status of traditional Chinese medicine(TCM)systematic reviews/Meta-analysis over the past 10 years.Methods Cochrane Database of Systematic Reviews,PubMed,Web of Knowledge,CNKI,SinoMed,WanFang Data,VIP databases,as well as the Cochrane Register and PROSPERO registration platform were searched to collect TCM-related systematic reviews/Meta-analysis published between January 2015 and December 2024.Literature was screened,and standardization of institutions,countries,and journals was performed.Data cleaning was conducted,and trends in publication years,high-frequency diseases,journals,institutions,and highly cited papers were analyzed.Results A total of 11,174 papers were included,involving approximately 56,656 authors from 1,422 institutions across 44 countries,covering 1,300 journals and 1,070 diseases.The top five institutions in terms of publications were Beijing University of Chinese Medicine(954 papers),Guangzhou University of Chinese Medicine(928 papers),China Academy of Chinese Medical Sciences(537 papers),Tianjin University of Chinese Medicine(460 papers),and Chengdu University of Chinese Medicine(393 papers).Foreign institutions with the highest publication volumes were concentrated in South Korea,Iran,and Australia.The most frequently published Chinese journal was Zhongyi Clinical Research with 332 papers,while the most published English journal was Evidence-Based Complementary and Alternative Medicine with 311 papers.There were 282 single-author papers involving 271 authors,and the most cited paper was referenced 323 times,The three most frequently studied diseases were diabetes(267 papers,2.39％),angina pectoris(214 papers,1.92％),and osteoarthritis(210 papers,1.88％).Non-pharmacological interventions such as acupuncture(1,265 papers,11.32％),auricular therapy(101 papers,0.90％),and Tai Chi(98 papers,0.88％)were most frequently reported.In pharmacological interventions,studies on Tripterygium wilfordii tablets(76 papers,0.68％)and Danhong injection(54 papers,0.48％)were more common.Conclusion The systematic reviews/Meta-analysis method is widely used in the field of TCM,and the field continues to grow.Active academic teams,institutions,and journals have emerged.Over the past decade,there has been a considerable body of evidence in Chinese systematic reviews on TCM for chronic diseases such as diabetes,angina pectoris,and osteoarthritis.In English-language studies,non-pharmacological therapies like acupuncture have been more widely reported,and some high-impact studies have emerged.However,challenges remain,such as issues with research transparency and methodological standardization.Future efforts should focus on establishing transparent systems and quality control mechanisms to further enhance the reliability,accuracy,and dissemination of TCM evidence-based research.

The receptor-binding region(RBD)of the spike protein(S)on the surface of porcine epi-demic diarrhea virus(PEDV)is a critical structural domain mediating viral invasion of host cells and serves as a key target for inducing neutralizing antibodies.In order to prepare antibodies that can be used to study the biological function of PEDV RBD and develop novel diagnostic and thera-peutic methods,recombinant RBD protein expressed in Sf9 insect cells was utilized as an immuno-gen to immunize BALB/c mice.Monoclonal antibodies(mAbs)were generated via hybridoma tech-nology,and positive hybridoma clones were screened using indirect ELISA.The reactivity of the mAbs was subsequently characterized.The results of ELISA,Western blot,and indirect immuno-fluorescence assay(IFA)showed that three monoclonal antibodies screened(3E5,4F9 and 5A5)had good reactivity with the virus and RBD protein.Antibody subtype results showed that 3E5 and 4F9 were of IgG1 subtypes and 5A5 was of IgM subtype.Neutralization assay further revealed that 3E5 monoclonal antibody had viral neutralizing activity.In this study,three monoclonal antibodies against PEDV RBD proteins were successfully prepared,providing the basis for the study of the bi-ological function of RBD proteins,PEDV serologic detection and vaccine development.

The receptor-binding region(RBD)of the spike protein(S)on the surface of porcine epi-demic diarrhea virus(PEDV)is a critical structural domain mediating viral invasion of host cells and serves as a key target for inducing neutralizing antibodies.In order to prepare antibodies that can be used to study the biological function of PEDV RBD and develop novel diagnostic and thera-peutic methods,recombinant RBD protein expressed in Sf9 insect cells was utilized as an immuno-gen to immunize BALB/c mice.Monoclonal antibodies(mAbs)were generated via hybridoma tech-nology,and positive hybridoma clones were screened using indirect ELISA.The reactivity of the mAbs was subsequently characterized.The results of ELISA,Western blot,and indirect immuno-fluorescence assay(IFA)showed that three monoclonal antibodies screened(3E5,4F9 and 5A5)had good reactivity with the virus and RBD protein.Antibody subtype results showed that 3E5 and 4F9 were of IgG1 subtypes and 5A5 was of IgM subtype.Neutralization assay further revealed that 3E5 monoclonal antibody had viral neutralizing activity.In this study,three monoclonal antibodies against PEDV RBD proteins were successfully prepared,providing the basis for the study of the bi-ological function of RBD proteins,PEDV serologic detection and vaccine development.