Objective To evaluate the clinical outcomes of sutureless aortic valve replacement (SU-AVR) and transcatheter aortic valve implantation (TAVI) for aortic valve disease. Methods We conducted a computer-based search of databases including CNKI, WanFang Database, VIP, Chinese Biology Medicine disc, PubMed, The Cochrane Library, Embase and Web of Science from the inception of the databases to March 2024. Two reviewers independently screened articles, extracted data and used the Newcastle-Ottawa Scale to evaluate the quality of the included studies. Meta-analysis was performed using Stata 18.0 software. Results The included 17 propensity score matching studies involved with 6 630 patients, including 3 319 patients in the SU-AVR group and 3 311 patients in the TAVI group. The SU-AVR group had lower mortality than the TAVI group at 1-year [RR=0.58, 95%CI(0.38, 0.87), P=0.009], 2-year [RR=0.61, 95%CI(0.43, 0.85), P=0.004] and 5-year [RR=0.63, 95%CI(0.50, 0.79), P<0.001]. The SU-AVR group had a significantly lower rate of new permanent pacemaker implantation (PPI) [RR=0.75, 95%CI(0.58, 0.98), P=0.037], moderate-to-severe paravalvular leak [RR=0.20, 95%CI(0.12, 0.32), P<0.001], myocardial infarction [RR=0.30, 95%CI (0.11, 0.80), P=0.017], more-than-mild residual aortic regurgitation [RR=0.29, 95%CI(0.17, 0.48), P<0.001]. In addition, the SU-AVR group had a higher postoperative mean aortic gradient [SMD=0.39, 95%CI (0.17, 0.62), P<0.001] than the TAVI group. Conclusion The early and mid-term clinical outcomes of SU-AVR are superior to TAVI.

Objective To optimize the extraction process of Xuetong capsules and establish its quality control method. Methods The extraction process was optimized by orthogonal experiment using ethanol reflux method to investigate the effects of different factors on diphenylstilbene, aloin and extraction yield. The content of 5 anthraquinone compounds in Xuetong capsule was determined by HPLC. Results The optimal extraction process was to add 10 times ethanol, with an ethanol concentration of 70%, and extract 3 times, each time for 1 h; 5 components had a good linear relationship with peak area within a certain concentration range, r>0.999 7; The range of sample recovery rate was 93.66%-96.85%, RSD range of 1.48%-1.66%. The content determination results of the 5 components in three batches of Xuetong capsules were （0.632-0.641）, （0.660-0.681）, （1.968-1.991）, （2.547-2.580）, and （1.076-1.101） mg/g. Conclusion The method was accurate, reproducible, and highly feasible, which could be references for producing and improving the quality control standards of Xuetong capsules.

The intestine and liver are closely connected both physiologically and pathologically, forming a so-called gut-liver axis, with the gut microbiota serving as a pivotal link in their bidirectional communication. Gut microbiota dysbiosis and gut-liver axis disruption play a key role in the development and progression of colorectal cancer liver metastasis (CRLM), though the underlying mechanisms have not been clearly elucidated. Certain gut microbiota, such as Escherichia coli and Enterococcus spp., can breach the intestinal barrier and translocate to the liver, promoting the formation of pre-metastatic niche. Fusobacterium nucleatum and Enterococcus faecalis enhance tumor cell invasion/migration, while Parabacteroides spp. suppress anti-tumor immunity in the liver TME. Interventions like fecal microbiota transplantation, dietary modifications, and traditional Chinese medicine have shown potential in clinical and preclinical studies to improve patient outcomes by targeting the gut microbiota, but their long-term efficacy and safety require further investigation. Future research should focus on elucidating the effects of specific bacterial species, metabolites, viruses, and fungi on tumorigenesis. Exploring the potential of gut microbiota-based precision medicine and personalized therapies will improve risk stratification and enable more targeted interventions for CRLM patients.

Alzheimer′s disease (AD) is one of the most common neurodegenerative diseases, and its diagnosis heavily relies on imaging biomarkers. This paper integrates core pathological markers, such as amyloid β (Aβ)-positron emission tomography (PET), tau-PET, structural magnetic resonance imaging, and fluorodeoxyglucose-PET, with the latest advancements in novel imaging biomarkers, including inflammation, synaptic imaging, and cerebrovascular injury-related markers, based on the Aβ proteinopathy, tau proteinopathy, neurodegeneration, inflammation, α-synuclein and vascular brain injury biomarkers (AT 1T 2NISV) framework proposed by the 2024 Alzheimer′s Association diagnostic guidelines. With the development of machine learning and artificial intelligence technologies, future research should focus on enhancing the specificity of imaging biomarkers and developing precise diagnostic models for comorbidities to better address the heterogeneity and complex pathological features of AD.

The intestine and liver are closely connected both physiologically and pathologically, forming a so-called gut-liver axis, with the gut microbiota serving as a pivotal link in their bidirectional communication. Gut microbiota dysbiosis and gut-liver axis disruption play a key role in the development and progression of colorectal cancer liver metastasis (CRLM), though the underlying mechanisms have not been clearly elucidated. Certain gut microbiota, such as Escherichia coli and Enterococcus spp., can breach the intestinal barrier and translocate to the liver, promoting the formation of pre-metastatic niche. Fusobacterium nucleatum and Enterococcus faecalis enhance tumor cell invasion/migration, while Parabacteroides spp. suppress anti-tumor immunity in the liver TME. Interventions like fecal microbiota transplantation, dietary modifications, and traditional Chinese medicine have shown potential in clinical and preclinical studies to improve patient outcomes by targeting the gut microbiota, but their long-term efficacy and safety require further investigation. Future research should focus on elucidating the effects of specific bacterial species, metabolites, viruses, and fungi on tumorigenesis. Exploring the potential of gut microbiota-based precision medicine and personalized therapies will improve risk stratification and enable more targeted interventions for CRLM patients.

Alzheimer′s disease (AD) is one of the most common neurodegenerative diseases, and its diagnosis heavily relies on imaging biomarkers. This paper integrates core pathological markers, such as amyloid β (Aβ)-positron emission tomography (PET), tau-PET, structural magnetic resonance imaging, and fluorodeoxyglucose-PET, with the latest advancements in novel imaging biomarkers, including inflammation, synaptic imaging, and cerebrovascular injury-related markers, based on the Aβ proteinopathy, tau proteinopathy, neurodegeneration, inflammation, α-synuclein and vascular brain injury biomarkers (AT 1T 2NISV) framework proposed by the 2024 Alzheimer′s Association diagnostic guidelines. With the development of machine learning and artificial intelligence technologies, future research should focus on enhancing the specificity of imaging biomarkers and developing precise diagnostic models for comorbidities to better address the heterogeneity and complex pathological features of AD.

BACKGROUND:The shoulder joint,as a non-weight-bearing joint of the human upper limb,is considered a perfect compromise between flexibility and stability.The traditional experimental mechanics research of shoulder joints has some limitations due to the complexity of internal structure,measurement techniques and ethical issues.The finite element analysis method is applied to the research of shoulder joints,which provides valuable reference conclusions for the discussion of shoulder joint diseases and the decision of surgical methods. OBJECTIVE:To review the status of finite element research in the field of the shoulder joint,and to put forward the prospect of future research. METHODS:The finite element analysis method was used to search the literature on shoulder joint complex-related diseases in PubMed,Web of Science,WanFang and CNKI databases by computer.Chinese search terms were"shoulder joint,finite element analysis,rotator cuff injury,glenoid labrum,shoulder joint replacement".English search terms were"FE,should joint,glenohumeral joint,rotator cuff tears,glenoid labrum,shoulder arthroplasty".The search period was mainly from January 2010 to January 2023.Some important documents were also tracked,retrieved and read. RESULTS AND CONCLUSION:(1)With the open network of model data and the establishment of relevant model databases,finite element research has become more and more standardized and reproducible.(2)The widely validated finite element model of the shoulder joint deepens our understanding of the shoulder field to enable more efficient clinical decision-making.(3)With the continuous development of computer technology and software development,future finite element research is bound to become an indispensable practical tool for clinical scientific research.

This paper reviews the risk factors and commonly used assessment tools for subthreshold depression in patients with type 2 diabetes mellitus (T2DM). In addition, it explores cognitive-behavioral intervention measures aimed at alleviating subthreshold depression in these patients, while also identifying existing challenges and potential directions for future research. The objective is to raise awareness among clinical managers in China regarding the symptoms of subthreshold depression in T2DM patients and to provide a reference for the development of targeted nursing interventions.

This paper reviews the risk factors and commonly used assessment tools for subthreshold depression in patients with type 2 diabetes mellitus (T2DM). In addition, it explores cognitive-behavioral intervention measures aimed at alleviating subthreshold depression in these patients, while also identifying existing challenges and potential directions for future research. The objective is to raise awareness among clinical managers in China regarding the symptoms of subthreshold depression in T2DM patients and to provide a reference for the development of targeted nursing interventions.

Objective To put forward suggestions for improving the scheme of general practice for functional communities from the perspective of supply and demand,guide the efficient use of the resources of general practice by the communities,and incorporate the general practice of communities into hierarchical diagnosis and treatment management. Methods In July 2021,stratified random sampling was employed to conduct the questionnaire surveys of the young and middle-aged (demand side) and the general practitioners (supply side),respectively.SPSS 20.0 was used for data analysis. Results The two sides had the same cognition about the main reasons for not signing a contract with a family doctor,which were the lack of knowledge about general practitioners and the lack of face-to-face communication opportunities.They had the same response about the form of services,with high acceptance of medical services via WeChat,outpatient consultation,and the internet.There were differences in service content between the two sides.The top three demands of the young and middle-aged were appointment registration and referral in superior hospitals,medication guidance,and massage,acupuncture,and moxibustion.The top service self-rated by general practitioners was personalized guidance and report interpretation of physical examination,and the bottom was massage,acupuncture,and moxibustion. Conclusions The general practice varies between the demand and supply sides.General practitioners should be encouraged to enter and learn functional communities and provide personalized services,thus improving the general medical service in functional communities.
General Practice ; Surveys and Questionnaires