Objective:To develop a rapid assessment scale for healthy aging suitable for the Chinese population.Methods:Based on existing healthy aging assessment scales, national standards, and expert consensus, an initial Healthy Aging Rapid Assessment Scale was drafted through two rounds of expert consultation. A pre-survey was conducted with 3 220 subjects recruited from Guangzhou between July 2023 and July 2024. Items were screened through item analysis and exploratory factor analysis to form the final scale. Reliability and validity of the final scale were validated across five cities: Guangzhou, Dongguan, Shenzhen, Baoding, and Chuxiong.Results:The initial version comprised 36 items, while the finalized scale contained 18 items across three dimensions: metabolic health, mental health, and cognitive health. Test-retest reliability ranged from 0.71 to 0.81 across all study sites. The Spearman-Brown coefficient varied between 0.91-0.96, Cronbach′s α between 0.77-0.83, comparative fit index (CFI) between 0.90-0.98, goodness-of-fit index (GFI) between 0.90-0.99, and root-mean-square error of approximation (RMSEA) between 0.03-0.09. For the three dimensions, reliability and validity metrics demonstrated consistency: Spearman-Brown coefficients 0.87-0.99, Cronbach′s α 0.77-0.83, CFI 0.90-0.98, GFI 0.90-0.99, and RMSEA 0.03-0.09 across four regions.Conclusion:The developed Healthy Aging Rapid Assessment Scale for the Chinese population exhibits robust reliability and validity.

Objective:To establish and assess the quality control and improvement system for metabolic and bariatric surgery in Beijing.Methods:Based on relevant documents from the National Health Commission and the Beijing Municipal Health Commission,and referencing the Metabolic and Bariatric Surgery Accreditation and Quality Improvement Program (MBSAQIP) by the American Society for Metabolic and Bariatric Surgery,a quality control system was developed under the Beijing Quality Control and Improvement Center of Metabolic and Bariatric Surgery. The system incorporated on-site evaluations,data registration,and specialized training. From May to December 2023,on-site assessments were conducted at 21 hospitals in Beijing performing bariatric surgery,evaluating personnel qualifications,infrastructure,clinical workflows,and postoperative follow-up. A quality control database was created to collect real-time surgical data,and training was provided for data entry and professional skills. Assessment results were classified as excellent,qualified,or needing improvement,with rectification suggestions offered and follow-up visits conducted to track progress.Results:All 21 hospitals achieved a 100% compliance rate for surgical indications, 16 (76.2%) met standardized surgical operation criteria,and 14 (66.7%) had standardized postoperative management. However,only 5 (23.8%) achieved a 12-month postoperative follow-up rate of ≥60%,and 4 (19.1%) had established specialized databases. Key challenges included insufficient specialized staffing (19.1%), lack of multidisciplinary collaboration (47.6%), inadequate equipment (57.1%), and low follow-up rates (57.1%). The database collected data from over 2 000 patients across 111 fields. After rectification, specialized database coverage rose to 61.9% (13 hospitals). Multi-level training programs developed backbone physicians and specialized nurses,significantly addressing the shortage of specialized personnel.Conclusion:The quality control system established in this study,through the integration of on-site evaluation,data registration,and specialized training,effectively enhances the standardization of surgical practices and data management capabilities.

Objective:To identify key influencing factors and their structural relationships for continuity of care and care coordination in integrated healthcare systems,providing evidence for systemic improvement strategies.Methods:Taking the Yuhuan Health Consortium in Zhejiang Province as an example,this study integrated the Decision-Making Trial and Evaluation Laboratory(DEMATEL)and Adversarial Interpretive Structure Modeling(AISM).An expert questionnaire and literature review were used to construct a factor system,quantifying the influence degree,centrality,and hierarchical structure of 17 continuity and 14 coordination factors.Results:In the system of continuity of care,division-of-labor and linkage mechanisms(influence degree:2.516)and payment methods(causal degree:1.043)were identified as core drivers,forming a four-level interaction network.For care coordination,health planning(centrality:4.452)and health insurance policies(causal degree:1.131)emerged as root causes,establishing a three-tier hierarchical structure.Topological analysis revealed that continuity relies on the"institutional design-process articulation-patient perception"pathway,while coordination depends on the"policy traction-management synergy-technical support"linkage mechanism.Both systems shared disease characteristics(causal degree:1.650/1.384)as underlying drivers,yet service processes(centrality:4.680)and managerial awareness(centrality:4.754)served as unique hub nodes.Conclusion:Differentiated interventions are required:continuity improvement should prioritize payment reform and division-of-labor mechanisms,while coordination enhancement necessitates strengthened health planning and policy synergy.

Objective To optimize the design of the existing water conductivity control system for pharmaceutical water equipment of full membrane process so as to solve its problems in precision and long cycle time due to water source,ambient temperature and intermittent working mode.Methods The optimized water conductivity control system was composed of an alkali metering pump,a conductivity sensor and a programmable logic controller(PLC),which used a fuzzy proportional-integral-derivative(PID)controller to regulate the water conductivity of pharmaceutical water equipment of full membrane process,and the particle swarm optimization(PSO)algorithm to optimize the parameters of the fuzzy PID controller.A simulation model was established with MATLAB software to verify the performance of the optimized control system.Results Simulation results showed the optimized control system had reductions in overshoot(by 19％)and adjustment time(by 29％)when compared with the fuzzy PID control system,and enhanced control efficiency effectively.Conclusion The optimized control system optimized by the PSO algorithm improves the quality of produced water,and can meet the demands for rapid and safe production of pharmaceutical water by pharmaceutical water equipment of full membrane process in different conditions.[Chinese Medical Equipment Journal,2025,46(6):14-19]

Objective To investigate anxiety-and depression-like behaviors in Cynomolgus monkeys with type 2 diabetes mellitus(T2DM),and to explore their correlations with biochemical parameters.Methods Cynomolgus monkeys were divided into a T2DM group(fasting plasma glucose(FPG)≥ 5.6 mmol/L)and control group(FPG＜4.2 mmol/L)(n=3 per group).Age,sex,body mass,body mass index(BMI),FPG,blood lipids,atherosclerosis index(AI),and tumor necrosis factor-α(TNF-α)levels were measured in both groups.Anxiety-like behaviors were assessed using the human intrude test(HIT)and depression-like behaviors were evaluated using the apathy feeding test(AFT).Relationships between behavioral parameters and biochemical/inflammatory markers were evaluated using Pearson's correlation analysis.Results(1)FPG,AI,and TNF-αlevels were significantly elevated while high-density lipoprotein cholesterol levels were reduced in the T2DM group compared with the control group(P＜0.05).(2)Regarding the HIT result,the durations of anxious(stare phase)and back-of-cage(stare phase)behaviors were higher in the T2DM group than in the control group(P＜0.05),while the durations of locomotor behaviors(baseline phase,profile phase,back phase)were significantly shorter(P＜0.05).(3)The AFT revealed that food retrieval latency was significantly delayed in the T2DM group(P＜0.05).Pearson's analysis identified a positive correlation between back-of-cage(stare phase)duration and AI(r=0.828,P=0.042),while locomotion during the back phase showed a negative corr-elation with AI(r=-0.842,P=0.035).Conclusions Cynomolgus monkeys with T2DM display distinct anxiety-and depression-like behavioral phenotypes,with a significant association between the AI and anxiety-related behaviors.These findings provide novel insights into the pathophysiological mechanisms linking T2DM with neuropsychiatric comorbidities.

Objective:To explore the differences in the CVD risk and lipid profiles in psoriatic arthritis (PsA) patients with different disease activity and investigate lipid management status in Chinese patients with PsA.Methods:Patients were enrolled from PKUPsA-PC cohort in Peking University First Hospital from January 2016 to January 2024. Data were collected at their first visit, including disease activity score, lipid profiles and treatment. Two modified CVD risk prediction models (modified China-PAR and modified FRS-CVD) were applied to predict the CVD risk over 10 years. All enrolled patients were subsequently stratified into low, intermediate and high-risk groups. The status of lipid target achievement was assessed based on lipid management recommendations proposed by prediction models. In addition, DAPSA was used to stratify PsA patients into remission, low, moderate and high-disease activity groups, and the differences in CVD risk and lipid profiles among PsA patients with different disease activity status were explored. The t test was used for comparison between 2 groups for measures that conformed to normal distribution; the Mann-Whitney U test was used for comparison between 2 groups for measures that were skewed; and the chi-square test was used for comparison between 2 groups for categorical data.Results:Three hundred and seven PsA patients were included in this study. They were aged 47 (36, 57) years with 121 (39.4%) female, disease duration of skin lesions of 14 (7, 23) years and disease duration of PsA for 3 (1, 8) years. There were 148 (48.2%) patients with dyslipidemia, and 38 (25.7%) of them were receiving lipid lowering drugs. By the modified China-PAR model, there were 174 (56.7%), 76 (24.8%) and 57 (18.5%) in the low-, moderate- and high-risk groups. By the modified FRS-CVD model, there were 173 (56.4%), 58 (18.9%) and 76 (24.7%) patients in the corresponding groups. According to the recommendations for lipid management based on FRS-CVD model, 80 (26.1%) patients did not achieve the target of lipid profile, including 9/174 (5.2%) in the modified model low-risk group, 20/76 (26.3%) in the intermediate-risk group, and 51/57 (89.5%) in the high-risk group, but there were only 12 (15.0%) patients receiving statin therapy. Compared with the remission and low disease activity groups, patients in the moderate-to-high disease activity group were older [50 (37, 60) years vs. 43 (35, 55) years, Z=-2.42, P=0.016]; had a higher proportion of hypertension (30.3% vs. 15.0%, χ2=9.60, P=0.002); and had lower HDL-C levels [1.1 (0.9, 1.3) mmol/L vs. 1.2 (1.0, 1.4) mmol/L, Z=-3.18, P=0.001]. Under the modified China-PAR and modified FRS-CVD risk prediction models, a higher proportion of patients with high disease activity in PsA were stratified at high 10-year CVD risk compared with the remission and low disease activity groups (29.5% vs. 19.6%, χ2=3.81, P=0.005) and (23.5% vs. 12.4%, χ2=6.00, P=0.014). Conclusion:Nearly half of the PsA patients are at medium-high risk to CVD. CVD risk is significantly higher in patients with moderate to high disease activity than in patients with remission and low disease activity. HDL-c levels are lower in patients with high disease activity. Nevertheless a quarter of patients did not achieve the target of lipid profile, and few patients are receiving statin. More attention should be paid to CVD risk evaluation and lipid management as a part of treat-to-target strategy to improve the prognosis.

Body weight abnormalities, including overweight, obesity, and underweight, have become a dual public health challenge in Chinese adults: overweight and obesity lead to a variety of chronic complications, while underweight increases the risks of malnutrition, sarcopenia, and organ dysfunction. To systematically address these issues, multidisciplinary experts in endocrinology, sports science, nutrition, and psychiatry from various regions have held multiple weight management seminars. Based on the latest epidemiological data and clinical evidence, they expanded the guideline to include assessment and intervention strategies for underweight, in addition to the core content of obesity management. This guideline outlines the etiological mechanisms, evaluation methods, and multidimensional management strategies for overweight and obesity, covering key areas such as diagnosis and assessment, medical nutrition therapy, exercise prescription, pharmacological intervention, and psychological support. It is intended to provide a scientific and standardized approach to weight management across the adult population, aiming to curb the rising prevalence of obesity, mitigate complications associated with abnormal body weight, and improve nutritional status and overall quality of life.

Turning to critical illness is a common stage of various diseases and injuries before death. Patients usually have complex health conditions, while the treatment process involves a wide range of content, along with high requirements for doctor′s professionalism and multi-specialty teamwork, as well as a great demand for time-sensitive treatments. However, this is not matched with critical care professionals and the current state of medical care in China. Telemedicine, which shortens the distance of medical professionals and the gap of disease diagnosis and treatments in various regions through electronic information, can effectively solve the current problem. Therefore, there is an urgent need to develop a standardized, high-quality visualization telemedicine round system .Therefore, experts have been organized to search domestic and foreign literature on telemedicine round for critically ill patients and to form this consensus based on clinical experiences so as to further improve the level of critical care treatments in regions.

Objective:To develop a rapid assessment scale for healthy aging suitable for the Chinese population.Methods:Based on existing healthy aging assessment scales, national standards, and expert consensus, an initial Healthy Aging Rapid Assessment Scale was drafted through two rounds of expert consultation. A pre-survey was conducted with 3 220 subjects recruited from Guangzhou between July 2023 and July 2024. Items were screened through item analysis and exploratory factor analysis to form the final scale. Reliability and validity of the final scale were validated across five cities: Guangzhou, Dongguan, Shenzhen, Baoding, and Chuxiong.Results:The initial version comprised 36 items, while the finalized scale contained 18 items across three dimensions: metabolic health, mental health, and cognitive health. Test-retest reliability ranged from 0.71 to 0.81 across all study sites. The Spearman-Brown coefficient varied between 0.91-0.96, Cronbach′s α between 0.77-0.83, comparative fit index (CFI) between 0.90-0.98, goodness-of-fit index (GFI) between 0.90-0.99, and root-mean-square error of approximation (RMSEA) between 0.03-0.09. For the three dimensions, reliability and validity metrics demonstrated consistency: Spearman-Brown coefficients 0.87-0.99, Cronbach′s α 0.77-0.83, CFI 0.90-0.98, GFI 0.90-0.99, and RMSEA 0.03-0.09 across four regions.Conclusion:The developed Healthy Aging Rapid Assessment Scale for the Chinese population exhibits robust reliability and validity.

Objective:To identify key influencing factors and their structural relationships for continuity of care and care coordination in integrated healthcare systems,providing evidence for systemic improvement strategies.Methods:Taking the Yuhuan Health Consortium in Zhejiang Province as an example,this study integrated the Decision-Making Trial and Evaluation Laboratory(DEMATEL)and Adversarial Interpretive Structure Modeling(AISM).An expert questionnaire and literature review were used to construct a factor system,quantifying the influence degree,centrality,and hierarchical structure of 17 continuity and 14 coordination factors.Results:In the system of continuity of care,division-of-labor and linkage mechanisms(influence degree:2.516)and payment methods(causal degree:1.043)were identified as core drivers,forming a four-level interaction network.For care coordination,health planning(centrality:4.452)and health insurance policies(causal degree:1.131)emerged as root causes,establishing a three-tier hierarchical structure.Topological analysis revealed that continuity relies on the"institutional design-process articulation-patient perception"pathway,while coordination depends on the"policy traction-management synergy-technical support"linkage mechanism.Both systems shared disease characteristics(causal degree:1.650/1.384)as underlying drivers,yet service processes(centrality:4.680)and managerial awareness(centrality:4.754)served as unique hub nodes.Conclusion:Differentiated interventions are required:continuity improvement should prioritize payment reform and division-of-labor mechanisms,while coordination enhancement necessitates strengthened health planning and policy synergy.