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 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 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 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.

Early correction of childhood malocclusion is timely managing morphological, structural, and functional abnormalities at different dentomaxillofacial developmental stages. The selection of appropriate imaging examination and comprehensive radiological diagnosis and analysis play an important role in early correction of childhood malocclusion. This expert consensus is a collaborative effort by multidisciplinary experts in dentistry across the nation based on the current clinical evidence, aiming to provide general guidance on appropriate imaging examination selection, comprehensive and accurate imaging assessment for early orthodontic treatment patients.
Humans ; Malocclusion/diagnostic imaging* ; Child ; Consensus

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.

The general models for intermediates quality analysis in the production process of Yaobitong capsule were established by near infrared spectroscopy (NIRS) combined with chemometrics, realizing the rapid determination of notoginsenoside R1, ginsenoside Rg1, ginsenoside Re, ginsenoside Rb1, ginsenoside Rd and moisture. The spray-dried fine powder and total mixed granule were selected as research objects. The contents of five saponins were determined by high performance liquid chromatography and the moisture content was determined by drying method. The measured contents were used as reference values. Meanwhile, NIR spectra were collected. After removing abnormal samples by Monte Carlo cross validation (MCCV), Monte Carlo uninformative variables elimination (MC-UVE) and competitive adaptive reweighted sampling (CARS) were used to select feature variables respectively. Based on the feature variables, quantitative models were established by partial least squares regression (PLSR), extreme learning machine (ELM) and ant lion optimization least squares support vector machine (ALO-LSSVM). The results showed that CARS-ALO-LSSVM model had the optimum effect. The correlation coefficients of the six index components were greater than 0.93, and the relative standard errors were controlled within 6%. ALO-LSSVM was more suitable for a large number of samples with rich information, and the prediction effect and stability of the model were significantly improved. The general models with good predicting effect can be used for the rapid quality determination of Yaobitong capsule intermediates.