OBJECTIVE To investigate the effects of galangin on rheumatoid arthritis （RA） in rats by regulating the Janus kinase 3 （JAK3）/signal transducer and activator of transcription 3 （STAT3） pathway. METHODS Fifty male SD rats were taken， and an emulsion composed of bovine type Ⅱ collagen and Freund’s complete adjuvant was injected subcutaneously to establish an induced arthritis model. The rats that were successfully modeled were randomly divided into model group， low， medium and high dose groups of galangin （1， 5， 15 mg/kg）， and methotrexate group （positive control， 2 mg/kg）， with 10 rats in each group. Another 10 normal rats were taken as the normal group. Starting from the 15th day of modeling， each group of rats was gavaged with the corresponding drug solution or normal saline containing 0.5% Tween 80 once a day for 28 consecutive days. The arthritis index （AI） scores and paw volume of rats were compared before and after gavage administration. Twenty-four hours after the last administration， the serum levels of interleukin-6 （IL-6）， tumor necrosis factor-α （TNF-α）， IL-4 and IL-10 were determined， the pathological changes in ankle joint synovial tissue were observed， and the protein expressions of UNC-51 like kinase 1 （ULK1）， Beclin-1， microtubule-associated protein 1 light chain 3 （LC3）， B cell lymphoma 2 （Bcl-2）， Bcl-2-associated X protein （Bax）， caspase-3， JAK3， phosphorylated JAK3 （p-JAK3）， STAT3 and phosphorylated STAT3 （p-STAT3） in the synovial tissue of the ankle joint were detected， as well as the fluorescence intensity of LC3-positive areas. RESULTS Compared with the model group， the pathological changes such as cellular proliferation of ankle joint synovial tissue and infiltration of inflammatory cells in rats of each administration group showed improvement. Moreover， their AI scores and paw pad volumes （on day 28 after gavage）， the levels of IL-6 and TNF-α， the protein expression of Bcl-2， and the phosphorylation levels of JAK3 and STAT3 were all significantly reduced （ P ＜0.05）. The levels of IL-4 and IL-10， the protein expressions of ULK1， Beclin-1， Bax， caspase-3 and LC3， as well as the fluorescence intensity of LC3-positive areas， were all significantly increased （ P ＜0.05）. Moreover， the effect of galangin was in a dose-dependent manner （ P ＜0.05）. CONCLUSIONS Galangin can induce sustained autophagy in synovial tissue cells of RA rats， promote cell apoptosis， inhibit synovial cell proliferation， and alleviate persistent inflammatory responses. The above anti-RA effects may be related to the inhibition of the JAK3/STAT3 pathway.

OBJECTIVE To compare the efficacy and safety of evolocumab and probucol in patients with ultra-high-risk atherosclerotic cardiovascular disease （ASCVD） following percutaneous coronary intervention （PCI）. METHODS A retrospective analysis was conducted on 156 ultra-high-risk ASCVD patients who underwent PCI in our institution between January 1， 2023 and December 31， 2024. According to the lipid-lowering regimen， the patients were categorized into evolocumab group （ n ＝86） and probucol group （ n ＝70）. Changes in lipid parameters [total cholesterol （TC）， low-density lipoprot ein cholesterol （LDL-C）， high-density lipoprotein cholesterol （HDL-C）， triglycerides， lipoprotein （a）， and lipid goal achievement rate ] ， inflammatory markers [interleukin-6 （IL-6） and C-reactive protein （CRP） ] ， and cardiac function indices （left ventricular ejection fraction， left ventricular end-systolic diameter， left ventricular end-diastolic diameter， and N-terminal pro-B-type natriuretic peptide） were compared between two groups at baseline and after 6 months of treatment. The incidence of adverse clinical events during treatment， including acute myocardial infarction， in-stent restenosis， acute heart failure， cerebral hemorrhage， and stroke， was also evaluated. RESULTS No statistically significant differences were observed between the two groups at baseline （ P ＞0.05）. After 6 months of treatment， both groups demonstrated significant improvements in lipid profiles （except HDL-C） and inflammatory markers compared to those at baseline （ P ＜0.05）. The evolocumab group exhibited greater reductions in TC， LDL-C， IL-6， and CRP， along with a higher lipid target achievement rate， compared with the probucol group （ P ＜0.05）. There were no statistically significant differences in the cardiac function-related indicators before and after treatment between the two groups， nor in the incidence of adverse events during the treatment （ P ＞0.05）. CONCLUSIONS For ultra-high-risk ASCVD patients after PCI， both of the above treatment options are associated with improvements in blood lipid and inflammatory response， with good safety during short-term follow-up. Evolocumab shows superior efficacy in TC， LDL-C and inflammatory markers reduction and lipid target achievement， compared to probucol.

Objective:To design a management system of internet of things(IoT)smart operation room based on business process reconstruction theory,and explore the application effect of that in improving management effectiveness for operation room.Methods:Aimed at the existing problems of key points in the management for operation room,the process was reconstructed on the basis of the original information system,relevant systems,workflows and standards of operation room of Fuwai Hospital of Medical Sciences and Peking Union Medical College.Then,a management system of IoT smart operation room based on business process reconstruction theory was designed.The surgical data of 13159 patients who underwent relevant operation of cardiovascular surgery from January to December 2022 were selected,and they were divided into"before-application"group(6 483 cases)and"after-application"group(6 676 cases)according to the point before and after the system was applied.Some indicators'data,which included scheduling management situation of picking up and dropping off patients by medical auxiliaries,duration of preparing anesthesia,duration of preoperative waiting,interval duration of continuous surgery and usage amount of surgical gowns under same amount of surgery,between two groups were compared.Results:The transportation efficiency of patients who underwent surgery after system was applied was(1.38±0.09)surgeries/h,which was higher than(0.99±0.09)surgeries/h before it was applied,and the difference was statistically significant(t=6.604,P<0.001).The satisfaction score of medical auxiliaries increased from 3.83(3.33,4.5)before application to 4.50(4.33,4.83)after application,and the difference was significant(Z=2.02,P<0.05).The duration of preparing anesthesia and duration of preoperative waiting after the system was applied were respectively(62.04±2.29)and(8.09±2.46)min,both of which were less than those before the system was applied,and the differences of them between two groups were statistically significant(t=2.309,2.280,P<0.05).The usage amount of surgical gowns under same amount of surgery after the system was applied was(4.11±0.57)gowns/surgery,which was less than(5.81±0.29)gowns/surgery before the system was applied,and the difference was statistically significant(t=6.489,P<0.05).Conclusion:The application of the management system of IoT smart operation room based on business process reconstruction theory can provide more safely,high-qualitatively and efficiently medical services for patients,and improve work efficiency and management effectiveness for operation room,and reduce resource consumption and operating cost.

Theory and technology of Medical Immunology are widely used in scientific research.Our teaching and research group uses experimental teaching of Medical Immunology as a platform to carry out practice of scientific research project-based experi-mental system among"5+3"integration students.By completing a mini-project research including experimental design-experimental operation-research article writing,students cultivated scientific research thinking and exercised scientific research practice ability,and generally reported that the course is very difficult,but after completing it,it is very rewarding.

Objective:To design a management system of internet of things(IoT)smart operation room based on business process reconstruction theory,and explore the application effect of that in improving management effectiveness for operation room.Methods:Aimed at the existing problems of key points in the management for operation room,the process was reconstructed on the basis of the original information system,relevant systems,workflows and standards of operation room of Fuwai Hospital of Medical Sciences and Peking Union Medical College.Then,a management system of IoT smart operation room based on business process reconstruction theory was designed.The surgical data of 13159 patients who underwent relevant operation of cardiovascular surgery from January to December 2022 were selected,and they were divided into"before-application"group(6 483 cases)and"after-application"group(6 676 cases)according to the point before and after the system was applied.Some indicators'data,which included scheduling management situation of picking up and dropping off patients by medical auxiliaries,duration of preparing anesthesia,duration of preoperative waiting,interval duration of continuous surgery and usage amount of surgical gowns under same amount of surgery,between two groups were compared.Results:The transportation efficiency of patients who underwent surgery after system was applied was(1.38±0.09)surgeries/h,which was higher than(0.99±0.09)surgeries/h before it was applied,and the difference was statistically significant(t=6.604,P<0.001).The satisfaction score of medical auxiliaries increased from 3.83(3.33,4.5)before application to 4.50(4.33,4.83)after application,and the difference was significant(Z=2.02,P<0.05).The duration of preparing anesthesia and duration of preoperative waiting after the system was applied were respectively(62.04±2.29)and(8.09±2.46)min,both of which were less than those before the system was applied,and the differences of them between two groups were statistically significant(t=2.309,2.280,P<0.05).The usage amount of surgical gowns under same amount of surgery after the system was applied was(4.11±0.57)gowns/surgery,which was less than(5.81±0.29)gowns/surgery before the system was applied,and the difference was statistically significant(t=6.489,P<0.05).Conclusion:The application of the management system of IoT smart operation room based on business process reconstruction theory can provide more safely,high-qualitatively and efficiently medical services for patients,and improve work efficiency and management effectiveness for operation room,and reduce resource consumption and operating cost.

The invasive arterial blood pressure(ABP)monitoring technique is widely utilized in the management of critically ill patients,providing medical professionals with real-time,continuous,and dynamic blood pressure data that plays a crucial role in guiding patient treatment.However,current traditional methods for arterial catheter blood collection and zero setting and measurement technology for ABP and central venous pressure(CVP)present certain issues such as complex operation procedures,inaccurate zero setting,and the inability to simultaneously monitor both ABP and CVP.Additionally,these methods may increase the risk of bloodstream infection and occupational exposure.Therefore,the department of critical care medicine at Tianjin Medical University General Hospital has developed a vascular access convenient blood collection device which has been granted a National Utility Model Patent(patent number:ZL 202322581247.4).This device includes a connecting tube,a specimen collection structure,a blood suction structure,a multifunctional pressure measurement device with laser emission structure,a pressure measurement conversion structure,and an efficient vascular access blood collection device.By optimizing the blood collection procedure and simplifying the manometry process,this design reduces the risk of bloodstream infection for patients and minimizes occupational exposure for medical staff.The device ensures accurate zero point adjustment of pressure measurements while guaranteeing the authenticity and reliability of collected data.Additionally,it supports synchronous monitoring of ABP and CVP,thereby saving medical consumables and reducing workload for healthcare professionals.This simple yet safe and efficient device meets clinical requirements effectively and is highly recommended for widespread use.

Objective To construct an evidence-based practice program of discharge preparation services for hip replacement patients based on the best evidence,and to evaluate its clinical effects,aiming to provide references for the implementation of relevant interventions.Methods Knowledge to Action Framework was used as a guide to summarise the best evidence on discharge preparation services for hip replacement patients and to select services based on clinical context.We selected 38 hip replacement patients and 17 healthcare professionals from the De-partment of Orthopaedic Surgery at a tertiary A hospital in Shanghai in September-October 2023 to conduct a baseline review,identify facilitating and hindering factors,and develop a practice protocol.We also selected 38 hip replacement patients and 17 healthcare professionals from November-December 2023 on this ward for evidence-based practice.Nurses'rates of completion of review indicators,levels of knowledge of discharge preparation ser-vices,and discharge planning competencies were compared before and after practice.Patients'readiness for dis-charge,hip function,and unplanned readmissions were also compared before and after the practice.Results After evidence-based practice,nurses'completion rates of review indicators,knowledge of discharge preparation services,and discharge planning competencies were higher than baseline levels(P＜0.05).Hip replacement patients showed a significant improvement in readiness for discharge and hip function(P＜0.001).Conclusion The implementation of an evidence-based practice program of discharge preparation services improves nurses'knowledge and skills,and also contributes to the discharge readiness and hip function of hip replacement patients.

This study summarizes the preoperative and intraoperative nursing experience in 5 cases of bridge-to-transplant heart transplantation with left ventricular assist device(LVAD)explant.Key points of nursing include:preoperative care and assessment of LVAD patients,preoperative discussion of the multidisciplinary team,safe transfer of patients to surgical rooms and other preoperative preparation,cardiomyocardial protection and multidisciplinary team cooperation during bridging transplantation,and intra-operative patient safety management.All 5 patients in this group successfully completed the surgery and were discharged.Pressure sores,wound infections,and other postoperative complications have not occurred.Postoperative cardiac function of 5 patients in this group were classified as New York Heart Association class Ⅰ～Ⅱ.The follow-up period for the 5 patients in this group ranged from 6 months to 6 years.The results of the most recent echocardiography follow-up showed that the left ventricular ejection fraction of all patients was all above 65％,with well prognosis.

Objectives:To develop a risk prediction model for sudden cardiac arrest(CA)in children with congenital heart disease(CHD)after surgery and validate its predictive efficacy,providing a reference for the prevention of CA and risk stratification.Methods:Medical records were retrospectively analyzed from 5 029 children who were hospitalized in Fuwai Hospital,Chinese Academy of Medical Sciences from January 1,2020 to May 31,2022 and underwent CHD surgery.The patients were divided into two groups:those who experienced CA after surgery(n=33)and those who did not(n=4 996).A random forest model for predicting the risk of postoperative CA was established on the training dataset using R software,and the predictive effect of the model was evaluated on the validation dataset using indicators of predictive accuracy,sensitivity,specificity,positive predictive value,negative predictive value.Results:The incidence of CA in this center was 0.66%,survival rate is 72.73%.Using the random forest algorithm,the importance of risk factors for sudden CA after CHD surgery was ranked by variable importance scoring,with the following top 6 important predictive variables:blood pressure,lactate levels,heart rate,cardiac rhythm,arterial oxygen partial pressure,and blood oxygen saturation on the first day after surgery.The model established by the random forest algorithm on the training set was validated on the test set,yielding a predictive accuracy of 99.8%,specificity of 87.5%,sensitivity of 99.9%,kappa coefficient of 0.8225,positive predictive value of 99.9%,and negative predictive value of 77.8%.Conclusions:The established prediction model of sudden CA in children with CHD after surgery had good performance.It might help medical staffon decision making of early intervention,preventing the occurrence of CA,and improving the outcomes of children with high risk of CA post surgery.

With the rapid development of artificial intelligence(AI),how to digitize the teaching of Medical Immunology is a new challenge posed by the times and education.This study is based on the advanced teaching model of Medical Immunology,which includes lectures-PAD class-flipped classrooms-expert lecture.By introducing knowledge mapping and AI teaching assistant into the entire learning process,the students not only deepen their understanding of the knowledge system of Medical Immunology,but also ex-ercise their ability to apply immunological knowledge to solve practical clinical problems,enhance their self-learning ability,expres-sion ability,communication ability,on-site performance ability,and cultivate a spirit of unity,cooperation,and exploration.The practice of empowering Medical Immunology teaching with digital intelligence achieves the integration of theory and application,the linkage between in class and out of class teaching,the connection between commonalities and individualities,and the union of abili-ties and qualities in Medical Immunology teaching.It also provides practical basis for exploring the implementation path of digital intel-ligence empowerment in Medical Immunology teaching.