Objective:To discuss the influencing factors of angina pectoris in the patients with diabetes mellitus(DM),to construct a Bayesian network model to explore the network relationships among the influencing factors,and to predict the risk of angina pectoris in the patients with DM.Methods:Based on the UK Biobank(UKB)database,the Logistic regression aralysis model was used to screen the influencing factors of angina pectoris in the patients with DM.The taboo search algorithm was used for structure learning,and the Bayesian parameter estimation method was used for parameter learning to construct the Bayesian network model.Results:A total of 22 712 DM patients were included.The influencing factors of angina pectoris in the patients with DM included 14 variables:gender,age,body mass index(BMI),triglycerides(TG),total cholesterol(TC),glycated hemoglobin(HbA1c),hypertension,maternal smoking around delivery,smoking status,alcohol consumption,regular exercise,insomnia,sleep duration,and childhood relative body size(P<0.05).A Bayesian network model was constructed with 15 nodes and 22 directed edges.Among them,age,HbA1c,hypertension,regular exercise,BMI,and sleep duration were directly associated with the occurrence of angina pectoris in the patients with DM,while gender,smoking status,alcohol consumption,TC,TG,insomnia,childhood relative body size,and maternal smoking around delivery were indirectly associated with the occurrence of angina pectoris in the patients with DM.Conclusion:Age,HbA1c,hypertension,regular exercise,BMI,and sleep duration are direct influencing factors of angina pectoris in the patients with DM.Controlling HbA1c,blood pressure,and BMI levels,engaging in regular exercise,and maintaining appropriate sleep duration are beneficial for reducing the risk of angina pectoris in the patients with DM.

Objective:To investigate the age-specific distribution characteristics of plantar pressure parameters in healthy children aged 3-12 years.Methods:This cross-sectional study retrieved data from the hospital information system in January 2025 for 272 children aged 3-12 years who underwent physical examinations and voluntarily completed plantar pressure analysis at Beijing Children′s Hospital, Capital Medical University, from July 2022 to December 2024. Demographic and clinical data, including anthropometric measurements (height and weight), flatfoot diagnosis and plantar pressure parameters (maximum pressure, time to maximum force, and contact time percentage in bilateral forefoot, midfoot, and hindfoot) were recorded. Participants were categorized into 3 age groups (3-6 years, 7-9 years, and 10-12 years) and were grouped by gender as well. Intergroup comparisons used one-way ANOVA or least-significant difference test or χ2 tests. Spearman′s rank correlation assessed the relationship between flatfoot prevalence and age. Results:Among 272 children (143 boys, 129 girls), age groups comprised 3-6 years (118 children, 64 boys and 54 girls), 7-9 years (96 children, 49 boys and 47 girls), and 10-12 years (58 children, 30 boys and 28 girls). Flatfoot prevalence was higher in boys than in that of girls (41.3% (59/143) vs. 28.7% (37/129), χ2=4.70, P=0.030), and negatively correlated with age ( r=-0.21, P<0.001). There all had statistically differences in the maximum pressure values of the bilateral forefoot and hindfoot among the 3 age groups (all P<0.001), and after pairwise comparison, those of the group of aged 3-6 years were all the lowest, and those of the group of aged 10-12 years were all the highest (all P<0.05). The maximum pressure values of bilateral midfoot in the group of aged 10-12 years were all higher than those of the other two groups (all P<0.001). There had no statistically differences in the time maximum force value of the bilateral forefoot among the 3 age groups (all P>0.05). The time maximum force values of bilateral midfoot in the group of aged 3-6 years were all lower than those of the other two groups (all P<0.05). There all had statistically differences in the time maximum force value of the bilateral hindfoot among the 3 age groups (all P<0.001), and after pairwise comparison, those of the group of aged 3-6 years were all the lowest, and those of the group of aged 10-12 years were all the highest (all P<0.05). There all had statistically differences in the contact time percentage values of the bilateral forefoot among the 3 age groups (all P<0.001), and after pairwise comparison, those of the group of aged 3-6 years were all the lowest, and those of the group of aged 10-12 years were all the highest (all P<0.05). There had no statistically differences in the contact time percentage values of the bilateral midfoot among the 3 age groups (all P>0.05). There all had statistically differences in the contact time percentage values of the bilateral hindfoot among the 3 age groups (all P<0.001), and after pairwise comparison, those of the group of aged 3-6 years were all lower than those of the other two groups (all P<0.05). Conclusion:Plantar pressure parameters exhibit distinct age-related patterns, reflecting the development of gait patterns and foot arch formation, which will be useful for monitoring physical growth and sports rehabilitation.

Objective:To analyze the key β-amyloid protein (Aβ) deposition in brain regions affecting the progression from mild cognitive impairment (MCI) to Alzheimer's disease (AD).Methods:Based on the positron emission tomography data of Aβ in the Alzheimer's disease neuroimaging initiative database, the penalized generalized estimating equation (PGEE) and the mixed effects regression forest algorithm (MERF) were used to conduct dimensionality reduction analysis on 164 brain regions with Aβ deposition. Additionally, a multivariate longitudinal data joint model was used to screen the key Aβ deposition brain regions that influence the progression from MCI to AD.Results:Five key brain regions were commonly screened out by the PGEE and MERF models, they were the right prefrontal orbital cortex, the left superior temporal sulcus shore cortex, the right medial orbitofrontal cortex, the left putamen, and the right transverse temporal cortex, respectively. The results of the multivariate longitudinal data joint model based on these 5 Aβ deposition brain regions showed that, except the left superior temporal sulcus shore cortex, the longitudinal change trajectories of the other 4 Aβ deposition brain regions all affected the progression from MCI to AD ( P<0.05). Conclusion:The Aβ deposition in the right prefrontal orbital cortex, right medial orbitofrontal cortex, left putamen and right transverse temporal cortex affect the progression from MCI to AD.

Objective To investigate the differences of language abilities between children with developmental delay(DD)and those with autism spectrum disorder(ASD)aged 3-6 years,and to provide references for clinical differential diagnosis and subsequent rehabilitation therapy.Methods In this study,61 cases of DD children and 61 cases of ASD chil-dren were selected.The language ability of children was assessed using the"Children's Language Ability Assessment Stand-ards and Methods",which evaluated grammar,comprehension,expression and communication abilities.Results Children with DD showed better comprehension and social skills but weaker grammar and expressive abilities.Children with ASD generally had lower levels in all language areas.There was no significant difference in the average language ability or expres-sive ability the two groups(P＞0.05),but the language comprehension ability and communication ability of the ASD group were significantly lower than those of the DD group(P＜0.05).The grammar ability of the ASD group was higher than that of the DD group(P＜0.05).Conclusion The levels of different language areas of children with DD and ASD children are significantly different.Language ability tests can assist in the differential diagnosis of DD and ASD children,and provide reference for language rehabilitation training.

BACKGROUND:Graphene oxide,with its excellent physical and chemical properties and biocompatibility,can promote the differentiation of osteoblasts and inhibit the proliferation of bacteria,which will hopefully improve the success rate of implant restoration.OBJECTIVE:To summarize the research progress of graphene oxide in the field of dental implant restoration.METHODS:The related articles published by CNKI,WanFang Database,ScienceDirect,and PubMed from January 2000 to June 2024 were searched by computer.The keywords were"graphene oxide,dental implantation,biocompatibility,antibacterial mechanism,osteoblasts,mechanical properties,chemical properties"in Chinese and English.By reading the titles and abstracts,we preliminarily screened out the documents irrelevant to the topic of the article.According to the inclusion and exclusion criteria,65 documents were finally included for analysis.RESULTS AND CONCLUSION:Graphene oxide can increase the innate immune protection response of the body through its own antibacterial and drug-loaded antibacterial abilities,thus inhibiting the occurrence and development of periimplant inflammation.Graphene oxide can promote the proliferation and differentiation of bone marrow mesenchymal stem cells,enhance the proliferation of osteoblasts and vascular endothelial cells,inhibit the proliferation of osteoclasts,increase the rate of bone bonding between implants and alveolar bones,and contribute to the formation and stability of bone around implants.Graphene oxide can promote the combination of implant and gingival tissue,and reduce the occurrence of inflammation.Graphene oxide has low toxicity,and its biological safety needs further study.Graphene oxide coating endows the surface of titanium implant with excellent physical and chemical properties,which can greatly reduce the occurrence of complications such as implant fracture and prolong the survival time of implant.

Objective To investigate the risk of chronic obstructive pulmonary disease(COPD)after asthma and explore factors influen-cing the onset and progression of asthma in patients with COPD.Methods A follow-up cohort was established based on the United Kingdom Biobank(UKB)database.The risk of asthma and COPD was predicted,and the influencing factors were analyzed using a mul-tistate model(MSM).Results Without considering the influence of covariates,the cumulative risk from COPD to mortality was the highest,followed by asthma to COPD,and asthma to mortality.Advanced age,male,diabetes mellitus(DM),high waist-to-hip ratio,hyper-tension,increased Townsend deprivation index,increased frequency of smoking,and family history were risk factors for developing COPD in the asthmatic population.Advanced age,male,DM,high waist-to-hip ratio,hypertension,increased Townsend deprivation index,and in creased frequency of smoking were risk factors for mortality in the asthmatic population.Advanced age,male,and DM and increased Townsend deprivation index were risk factors for mortality in the COPD population.Conclusion Advanced age,male,DM,high waist-to-hip ratio,hypertension,increased Townsend deprivation index,increased smoking frequency,and family history increased the risk of COPD in the asthmatic population.This MSM can be used to predict the influencing factors and degree of COPD after asthma,and reveal the change law of disease progression.

As one of the modern enterprise management systems,the Occupational Health and Safety Management System(OHSMS)has garnered increasing attention.The OHSMS has undergone continuous refinement and expansion across various fields,emerging as a pivotal indicator of enterprise competitiveness.Currently,both the Association for Assessment and Accreditation of Laboratory Animal Care(AAALAC)International and the China National Accreditation Service for Conformity Assessment(CNAS)require for establishing occupational health management related to laboratory animal work.However,within the domestic laboratory animal industry,development of OHSMS is relatively lagging behind due to unfamiliarity with laws and regulations and a lack of experienced management personnel.Consequently,the OHSMS in laboratory animal institutions is still in its early stage.Drawing on the authors'practical experience in establishing OHSMS in laboratory animal institutions,this article first outlines domestic and international occupational health laws,regulations,and safety management systems for laboratory animals,as well as common occupational diseases and their associated risk factors in China.Subsequently,this article highlights key elements for the construction of OHSMS in laboratory animal institutions in areas such as establishing occupational health and safety regulations,conducting training,performing occupational health examinations for staff,monitoring on-site occupational hazard factors,implementing the"three simultaneous"system for occupational disease prevention facilities in construction projects,creating and maintaining occupational health records,developing a notification management system for occupational hazards,and formulating emergency response plans for occupational disease hazard accidents.These points are intended as a reference for professionals in the industry.

Objective To investigate the differences of language abilities between children with developmental delay(DD)and those with autism spectrum disorder(ASD)aged 3-6 years,and to provide references for clinical differential diagnosis and subsequent rehabilitation therapy.Methods In this study,61 cases of DD children and 61 cases of ASD chil-dren were selected.The language ability of children was assessed using the"Children's Language Ability Assessment Stand-ards and Methods",which evaluated grammar,comprehension,expression and communication abilities.Results Children with DD showed better comprehension and social skills but weaker grammar and expressive abilities.Children with ASD generally had lower levels in all language areas.There was no significant difference in the average language ability or expres-sive ability the two groups(P＞0.05),but the language comprehension ability and communication ability of the ASD group were significantly lower than those of the DD group(P＜0.05).The grammar ability of the ASD group was higher than that of the DD group(P＜0.05).Conclusion The levels of different language areas of children with DD and ASD children are significantly different.Language ability tests can assist in the differential diagnosis of DD and ASD children,and provide reference for language rehabilitation training.

Objective:To analyze the key β-amyloid protein (Aβ) deposition in brain regions affecting the progression from mild cognitive impairment (MCI) to Alzheimer's disease (AD).Methods:Based on the positron emission tomography data of Aβ in the Alzheimer's disease neuroimaging initiative database, the penalized generalized estimating equation (PGEE) and the mixed effects regression forest algorithm (MERF) were used to conduct dimensionality reduction analysis on 164 brain regions with Aβ deposition. Additionally, a multivariate longitudinal data joint model was used to screen the key Aβ deposition brain regions that influence the progression from MCI to AD.Results:Five key brain regions were commonly screened out by the PGEE and MERF models, they were the right prefrontal orbital cortex, the left superior temporal sulcus shore cortex, the right medial orbitofrontal cortex, the left putamen, and the right transverse temporal cortex, respectively. The results of the multivariate longitudinal data joint model based on these 5 Aβ deposition brain regions showed that, except the left superior temporal sulcus shore cortex, the longitudinal change trajectories of the other 4 Aβ deposition brain regions all affected the progression from MCI to AD ( P<0.05). Conclusion:The Aβ deposition in the right prefrontal orbital cortex, right medial orbitofrontal cortex, left putamen and right transverse temporal cortex affect the progression from MCI to AD.

As one of the modern enterprise management systems,the Occupational Health and Safety Management System(OHSMS)has garnered increasing attention.The OHSMS has undergone continuous refinement and expansion across various fields,emerging as a pivotal indicator of enterprise competitiveness.Currently,both the Association for Assessment and Accreditation of Laboratory Animal Care(AAALAC)International and the China National Accreditation Service for Conformity Assessment(CNAS)require for establishing occupational health management related to laboratory animal work.However,within the domestic laboratory animal industry,development of OHSMS is relatively lagging behind due to unfamiliarity with laws and regulations and a lack of experienced management personnel.Consequently,the OHSMS in laboratory animal institutions is still in its early stage.Drawing on the authors'practical experience in establishing OHSMS in laboratory animal institutions,this article first outlines domestic and international occupational health laws,regulations,and safety management systems for laboratory animals,as well as common occupational diseases and their associated risk factors in China.Subsequently,this article highlights key elements for the construction of OHSMS in laboratory animal institutions in areas such as establishing occupational health and safety regulations,conducting training,performing occupational health examinations for staff,monitoring on-site occupational hazard factors,implementing the"three simultaneous"system for occupational disease prevention facilities in construction projects,creating and maintaining occupational health records,developing a notification management system for occupational hazards,and formulating emergency response plans for occupational disease hazard accidents.These points are intended as a reference for professionals in the industry.