In order to enhance the transparency of the health policy making process and to ensure the scientific and rigorous of policy making,the concept of evidence-based policy making has been increasingly pro-moted.By constructing a global health policy and management evidence clearinghouse,which integrates the best practices and scientific research results worldwide,can provide policy makers with the best evidence.Therefore,this paper introduces the objectives,system positioning,evidence scope,technical implementation and functional module of the Global Health Policy and Management Evidence Clearinghouse(HPME),aiming to illustrate its significant value and potential impact in the field of global health policy and management.

One of its primary surgical treatments of tricuspid regurgitation is tricuspid valve biological valve replacement. Catheter tricuspid valve-in-valve implantation is a novel interventional alternative for biological valve failure. The non-invasive lung fluid measuring device remote dielectric sensing (ReDSTM) has been increasingly incorporated into clinical practice as a means of monitoring chronic heart failure in recent years. This report describes the process and outcomes of the first instance of perioperative lung fluid volume evaluation following transcatheter tricuspid valve implantation utilizing ReDSTM technology. The patient has a short-term, substantial increase in postoperative lung fluid volume as compared to baseline.

Clinical practice guidelines represent the best recommendations for patient care. They are developed through systematically reviewing currently available clinical evidence and weighing the relative benefits and risks of various interventions. However, clinical practice guidelines have to go through a long translation cycle from development and revision to clinical promotion and application, facing problems such as scattered distribution, high duplication rate, and low actual utilization. At present, the clinical practice guideline information platform can directly or indirectly solve the problems related to the lengthy revision cycles, decentralized dissemination and limited application of clinical practice guidelines. Therefore, this paper systematically examines different types of clinical practice guideline information platforms and investigates their corresponding challenges and emerging trends in platform design, data integration, and practical implementation, with the aim of clarifying the current status of this field and providing valuable reference for future research on clinical practice guideline information platforms.

To develop a guideline terminology system and promote its standardization, thereby enhancing medical staff's accurate understanding and correct application of guidelines.

Recently, significant progress has been made in the field of endovascular repair of complex aortic disease involving the major branches (aortic arch disease and complex abdominal aortic aneurysms). Open surgery was considered the “gold standard” for the treatment of these complicated aortic diseases, but was challenged by the huge surgical trauma and high risk of post-operative complications. However, the rapid development of branched and fenestrated endografts has provided an alternative safe and effective minimally invasive treatment for patients who cannot tolerate open surgery. Preliminary evidence has also shown that branched and fenestrated endografts have achieved significant technical success rates and clinical outcomes and have gradually become an important direction of innovation and development for endovascular repair of complex aortic disease. Nevertheless, both branched and fenestrated endografts are currently in the early stages of experience and a series of high-quality research studies are needed in the future to further compare them with open surgery and within different endovascular techniques.

Objective:To analyze the current situation of health-related quality of life (HRQOL) and its influencing factors among community-dwelling elderly with mild cognitive impairment (MCI) based on the health ecology model (HEM).Methods:From December 2023 to September 2024, a cross-sectional survey was conducted among 997 community-dwelling elderly in Beijing, Shandong, Chongqing and other regions. The EuroQol five-dimensional questionnaire 5 level (EQ-5D-5L), the Montreal cognitive assessment (MoCA), and the Pittsburgh sleep quality index (PSQI) were used to assess the subjects.Descriptive analysis, Mann-Whitney U test, Kruskal-Wallis test, and Tobit regression analysis were performed using Stata 18.0 software. Results:A total of 324 valid samples were finally obtained, and the health utility value of MCI elderly was 0.842(0.815, 0.951). Tobit regression analysis showed that ≥80 years old( β=-0.121, 95% CI=-0.193--0.050) in individual traits level, don't exercise( β=-0.196, 95% CI=-0.255--0.137) and poor quality of sleep ( β=-0.064, 95% CI=-0.116--0.013) in behavior characteristics level, and poor subjective economic status( β=-0.153, 95% CI=-0.261--0.045) in living and working conditions level were risk factors for the health utility value of the elderly with MCI. Drinking( β=0.096, 95% CI=0.022-0.171) in behavior characteristics level and participating in social activities( β=0.126, 95% CI=0.062-0.190) in interpersonal network level were protective factors for the health utility value of the elderly with MCI. Conclusions:The HRQOL of the community-dwelling elderly with MCI in China is low, and its influencing factors are multi-level. HEM should be combined to strengthen the intervention and management of the elderly with MCI from personal constitution to policy environment to improve their HRQOL.

Objective:To investigate the awareness of clinical practice guidelines (referred to as "guidelines") and experts consensus (referred to as "consensus") among otorhinolaryngology head and neck surgery medical staff, and to analyze the effectiveness of the ninth guideline methodology workshop.Methods:Self-designed survey questionnaires were used to conduct two surveys among otorhinolaryngology head and neck surgery medical staff who participated in the ninth guideline methodology workshop held in Chengdu from Jannuary 10 to 11, 2025, both before and after the training, to assess their awareness and knowledge of guideline and consensus development methodology. The effectiveness of the training was evaluated using the paired chi-square test.Results:A total of 77 peoples (95.06%), who participated in the ninth guideline methodology workshop, completed the survey questionnaires both before and after the training. One-third of the respondents reported a relatively good to very good understanding of guideline and consensus development. The overall methodology of the guidelines and consensus they had participated in developing still showed room for improvement. After the methodology training, the score rate for each test question significantly increased compared to before the training ( P<0.05), and the distribution trend of the total scores changed markedly (Before the training, 71 people scored less than 60 points, 4 people scored 60 points, and 2 people scored 70 points. After the training, only 1 person scored less than 60 points, 1 person scored 60 points, and 75 people scored between 70 and 100 points, of which 21 people scored 100 points). Conclusion:The awareness of guideline and consensus development methodology among otorhinolaryngology head and neck surgery medical staff still has room for improvement. The guideline methodology workshop can enhance participants′ mastery of guideline and consensus development methodology.

Objective To sort,summarize,and introduce key terms related to guideline reporting,evaluation,dissemination,implementation,and updating.Methods We systematically searched guideline de-velopment manuals and methodological literature from database inception to October 25,2024.Terms related to guideline reporting,updating,evaluation,and implementation were extracted,standardized,and finalized through a structured consensus process.Results A total of 13 guideline manuals and 32 methodological articles were included,yielding 14 core terms with standardized definitions.Conclusions This article introduces key terms such as reporting standards,external review,and research gaps across guideline development phases to promote concept application and deepen readers'understanding of guideline development.

Objective To develop a deep learning model based on fundus retinal images to improve the detection rate of mild cognitive impairment(MCI)in patients with coronary heart disease,achieve early intervention and improve prognosis.Methods The study was a single-center cross-sectional study that retrospectively included patients diagnosed with coronary heart disease(CHD)by coronary angiography(≥50％ stenosis of at least one coronary vessel)from Beijing Anzhen Hospital between November 2021 and December 2022.The whole data set was randomly divided into the training set and the testing set according to the ratio of 8∶2 for model development.After that,the patient data of the same center from January 2023 to April 2023 were included in the time verification method to verify the model.The diagnostic criteria for MCI were MMSE＜27 or MoCA＜26.Four kinds of convolutional neural network(CNN)architectures were used to train fundus images,and a comprehensive vision model of MCI detection was established through model integration.The area under the curve(AUC),sensitivity and specificity of the receiver operating curve(ROC)were used to evaluate the performance of the AI model.Results We collected 5 880 eligible fundus images from 3 368 CHD patients.Based on the results of the MMSE scale,the algorithm was labeled,including 2 898 males and 527 MCI patients.The AUC of the deep learning model in the test group is 0.733(95％CI 0.688-0.778),and the sensitivity of the algorithm in the test group is 0.577(95％CI 0.528-0.625)by using the operating point with the maximum sum of sensitivity and specificity.With a specificity of 0.758(95％CI 0.714-0.802),corresponding to a validated AUC of 0.710(95％CI 0.601-0.818).Based on the results of the MoCA scale,the algorithm labels 2 437 males and 1 626 MCI patients.The AUC of the deep learning model in the test group was 0.702(95％CI 0.671-0.733).The operating point with the maximum sum of sensitivity and specificity was selected,and the sensitivity of the algorithm was 0.749(95％CI 0.719-0.778)and the specificity was 0.561(95％CI 0.527-0.595),corresponding to the AUC value of the verification group was 0.674(95％CI 0.622-0.726).Conclusions The deep learning algorithm model based on fundus images has good diagnostic performance,and may be used as a new non-invasive,convenient and rapid screening method for MCI in CHD population.

Aim Mouse model of myocardial hypertro-phy was established via intraperitoneal injection of iso-proterenol(ISO)in mice.This approach allows for an in-depth investigation into the pharmacological effects and mechanisms of action of emodin,offering novel in-sights and directions for the improvement of myocardial hypertrophy.Methods The mice were randomly di-vided into the following groups:control group(CON),emodin group(EMO),MAPK activator control group(EMO+Ani),model group(ISO),treatment group(ISO+EMO),and activator intervention group(ISO+EMO+Ani).After treatment with emodin and inter-vention with MAPK activator,the heart weight ratio and cardiac size of each group were observed.Hematoxy-lin-eosin(HE)staining was used to observe the patho-logical changes in cardiac tissue,and kits were utilized to measure the levels of GSH,LDH,and MDA in the serum.Western blot was employed to detect the protein expression levels of inflammatory and oxidative factors,as well as p-p38,p-ERK,p38,and ERK in cardiac tis-sue.Results Emodin can significantly inhibit the production of myocardial inflammatory and oxidative factors induced by ISO,thereby effectively alleviating the degree of myocardial hypertrophy and fibrosis.Af-ter the p38/ERK signaling pathway was specifically ac-tivated by farnesol,the improvement effect of emodin on myocardial hypertrophy was weakened.Further comparison revealed that,compared with the myocardi-al hypertrophy pathological model group,the pathologi-cal protein expression levels in the farnesol-treated group showed no significant difference,and were even higher in some indicators.Conclusion Emodin can effectively inhibit the release of inflammatory factors and improve the state of oxidative stress by modulating the p38/ERK signaling pathway,thereby exerting an ameliorative effect on myocardial hypertrophy.