OBJECTIVE To explore the construction of selection system for drug directory of the county-level medical community based on multi-criteria decision analysis， and provide decision-making basis for the selection of drug directory of medical community. METHODS Taking county-level medical community in Chongqing as an example，Delphi method and analytic hierarchy process were employed to construct the selection system for drug directory of the county-level medical community. Selected drugs were quantitatively scored based on the constructed index system， and the drug directory was selected according to the drug’s comprehensive score. The implementation effect of the directory was then evaluated through questionnaire surveys one year after the implementation of the directory. RESULTS The expert authority coefficients of the two rounds of consultation were＞ 0.8， with Kendall’s W values of 0.213 and 0.196， respectively （P＜0.001）. Finally， the selection system for drug directory of the medical community was determined to include five evaluation dimensions： safety， effectiveness， economy， accessibility， and innovation， along with eight evaluation indicators. In the drug directory selected according to the above method， the proportions of centrally procured drugs， medical insurance drugs， and essential drugs had all increased compared to before the selection； the comprehensive scores of chemical drugs ranged from 50.25 to 96.31 scores， and the proportion of drugs scoring between 70 and 100 scores had increased from 78.06% before selection to 85.82%. Among them， antiparasitic drugs had the highest comprehensive scores， while drugs for the digestive tract and metabolism were the most numerous. The evaluation scores of each indicator and the comprehensive scores of drugs in the drug directory after the selection process increased significantly than before selection （P＜ 0.05）. CONCLUSIONS The selection system for drug directory of the county-level medical community constructed in this study is scientific， objective and operable. This process facilitates the promotion of standardized and unified management of drugs in the medical community.

BACKGROUND: The available evidence regarding the benefits of percutaneous coronary intervention (PCI) on patients receiving dialysis with coronary artery disease (CAD) is limited and inconsistent. This study aimed to evaluate the association between PCI and clinical outcomes as compared with medical therapy alone in patients undergoing dialysis with CAD in China. METHODS: This multicenter, retrospective study was conducted in 30 tertiary medical centers across 12 provinces in China from January 2015 to June 2021 to include patients on dialysis with CAD. The primary outcome was major adverse cardiovascular events (MACE), defined as a composite of cardiovascular death, non-fatal myocardial infarction, and non-fatal stroke. Secondary outcomes included all-cause death, the individual components of MACE, and Bleeding Academic Research Consortium criteria types 2, 3, or 5 bleeding. Multivariable Cox proportional hazard models were used to assess the association between PCI and outcomes. Inverse probability of treatment weighting (IPTW) and propensity score matching (PSM) were performed to account for potential between-group differences. RESULTS: Of the 1146 patients on dialysis with significant CAD, 821 (71.6%) underwent PCI. After a median follow-up of 23.0 months, PCI was associated with a 43.0% significantly lower risk for MACE (33.9% [ n  = 278] vs . 43.7% [ n  = 142]; adjusted hazards ratio 0.57, 95% confidence interval 0.45-0.71), along with a slightly increased risk for bleeding outcomes that did not reach statistical significance (11.1% vs . 8.3%; adjusted hazards ratio 1.31, 95% confidence interval, 0.82-2.11). Furthermore, PCI was associated with a significant reduction in all-cause and cardiovascular mortalities. Subgroup analysis did not modify the association of PCI with patient outcomes. These primary findings were consistent across IPTW, PSM, and competing risk analyses. CONCLUSION This study indicated that PCI in patients on dialysis with CAD was significantly associated with lower MACE and mortality when comparing with those with medical therapy alone, albeit with a slightly increased risk for bleeding events that did not reach statistical significance.
Humans ; Percutaneous Coronary Intervention/methods* ; Male ; Female ; Coronary Artery Disease/drug therapy* ; Retrospective Studies ; Renal Dialysis/methods* ; Middle Aged ; Aged ; China ; Proportional Hazards Models ; Treatment Outcome

Due to the wide variety and varying quality of medical wound dressings, as well as the current lack of unified national or industry standards for regulation, this paper proposes a research strategy for establishing a quality evaluation system for medical wound dressings‌. By developing a technical roadmap, this strategy clarifies the process flow and key points in the quality evaluation process, establishes evaluation methods for various types of medical wound dressings, and addresses important issues such as how to determine key performance indicators based on product characteristics and how to research and validate test methods for key items. This provides a detailed and feasible research strategy and evaluation method for medical wound dressing manufacturers, testing institutions, and regulatory authorities. It reduces the difficulty and cost of quality evaluation for medical wound dressings and has certain significance in standardizing and improving their quality level, ensuring their safety and effectiveness, and serving the quality and safety regulation of medical devices.‌.
Bandages/standards* ; Quality Control ; Humans ; Wounds and Injuries/therapy*

BackgroundCombination of antipsychotic drugs and modified electroconvulsive therapy （MECT） is currently a commonly used method for treating schizophrenia， but its efficacy varies among different patient groups. ObjectiveTo explore the therapeutic effects of MECT on schizophrenia patients living in different urban versus rural environments， so as to provide references for the selection of treatment plans based on patients' residence. MethodsA total of 587 patients hospitalized at Luzhou Mental Health Center， Zigong Mental Health Center and Yibin Fourth People's Hospital from May 2018 to August 2022， who met the diagnostic criteria for schizophrenia in the Diagnostic and Statistical Manual of Mental Disorders， fifth edition （DSM-5） ，were included in the study. Patients were divided into two groups： medication-only group （n=106） and MECT combined with medication group （n=481）. In MECT combined with medication group， 24 rural patients residing in urban areas were excluded， leaving the remaining patients divided into urban group （n=103） and rural group （n=354） based on their place of residence. Positive and Negative Syndrome Scale （PANSS） was used to assess the severity of symptoms. Clinical efficacy was evaluated using PANSS score reduction rate， and covariance analysis was used to compare the therapeutic effects of different patients. ResultsThe differences of reduction rate of PANSS total score， positive symptom scale score and negative symptom scale score as well as treatment effectiveness rate between MECT combined with medication group and medication-only group were statistically significant （F=11.149， 12.111， 31.725， χ²=14.010， P<0.01）. Statistically significant differences were also observed in reduction rate of PANSS total score and positive symptom subscale score as well as treatment effectiveness rate between urban and rural patients in MECT combined with medication group （F=3.946， 4.523， χ²=4.033， P<0.05）. ConclusionThe efficacy of MECT combined with medication may be superior to medication alone in the treatment of schizophrenia， and the combined therapy may be more effective in urban patients than that in rural patients， with potentially more pronounced improvements in positive symptoms.

Background::Thoracic aortic aneurysm (TAA) is a fatal cardiovascular disease, the pathogenesis of which has not yet been clarified. This study aimed to identify and validate the diagnostic markers of TAA to provide a strong theoretical basis for developing new methods to prevent and treat this disease.Methods::Gene expression profiles of the GSE9106, GSE26155, and GSE155468 datasets were acquired from the Gene Expression Omnibus (GEO) database. Differentially expressed genes (DEGs) were identified using the "limma" package in R. Least absolute shrinkage and selection operator (LASSO), support vector machine-recursive feature elimination (SVM-RFE), random forest, and binary logistic regression analyses were used to screen the diagnostic marker genes. Single-sample gene set enrichment analysis (ssGSEA) was used to estimate immune cell infiltration in TAA.Results::A total of 16 DEGs were identified. The enrichment and functional correlation analyses showed that DEGs were mainly associated with inflammatory response pathways and collagen-related diseases. Collagen type I alpha 1 chain ( COL1A1) and synaptotagmin like 2 ( SYTL2) were identified as diagnostic marker genes with a high diagnostic value for TAA. The expression of COL1A1 and SYTL2 was considerably higher in TAA vascular wall tissues than in the corresponding normal tissues, and there were significant differences in the infiltration of immune cells between TAA and normal vascular wall tissues. Additionally, COL1A1 and SYTL2 expression were associated with the infiltration of immune cells in the vascular wall tissue. Single-cell analysis showed that COL1A1 in TAA was mainly derived from fibroblasts and SYTL2 mainly from cluster of differentiation (CD)8 + T cells. In addition, single-cell analysis indicated that fibroblasts and CD8 + T cells in TAA were significantly higher than those in normal arterial wall tissue. Conclusions::COL1A1 and SYTL2 may serve as diagnostic marker genes for TAA. The upregulation of SYTL2 and COL1A1 may be involved in the inflammatory infiltration of the vessel wall and poor extracellular matrix remodeling, promoting the progression of TAA.

Pain is one of the most common and unendurable symptoms in cancer patients and a major factor affecting their quality of life.Patient-controlled analgesia(PCA) is an important palliative measure in additional to conventional pharmacological control of pain.Nurses play the primary role in the management of PCA for cancer pain, and their knowledge, attitude and practice about PCA for cancer pain directly affect the effectiveness of cancer pain management.This article summarizes and analyzes the current status of nurses' knowledge, attitude and practice and associated influencing factors, aiming to improve nursing management of PCA, reinforce specialized nursing training, propose recommendations for an expert consensus on PCA for cancer pain and provide a reference for nursing practice in PCA for cancer pain.

As artificial intelligence technology rapidly advances, its deployment within the medical sector presents substantial ethical challenges. Consequently, it becomes crucial to create a standardized, transparent, and secure framework for processing medical data. This includes setting the ethical boundaries for medical artificial intelligence and safeguarding both patient rights and data integrity. This consensus governs every facet of medical data handling through artificial intelligence, encompassing data gathering, processing, storage, transmission, utilization, and sharing. Its purpose is to ensure the management of medical data adheres to ethical standards and legal requirements, while safeguarding patient privacy and data security. Concurrently, the principles of compliance with the law, patient privacy respect, patient interest protection, and safety and reliability are underscored. Key issues such as informed consent, data usage, intellectual property protection, conflict of interest, and benefit sharing are examined in depth. The enactment of this expert consensus is intended to foster the profound integration and sustainable advancement of artificial intelligence within the medical domain, while simultaneously ensuring that artificial intelligence adheres strictly to the relevant ethical norms and legal frameworks during the processing of medical data.
Artificial Intelligence/legislation & jurisprudence* ; Humans ; Consensus ; Computer Security/standards* ; Confidentiality/ethics* ; Informed Consent/ethics*

AIM: To analyze the current status, hotspots and trends of studies on the treatments of diabetic retinopathy.METHODS: Relevant literatures on diabetic retinopathy in Chinese National Knowledge Infrastructure(CNKI)and Web of Science core collection database were retrieved from creation to June 15, 2023, and CiteSpace 6.2.R2 and VOSviewer were used to conduct visualized analysis with the country/issuing institution, research author and keywords.RESULTS: A total of 5 919 Chinese literatures and 11 475 English literatures were included. The top three countries with global publications are the United States, China and the United Kingdom, respectively. The top three institutions for issuing articles at abroad are Harvard Medical School, Harvard University and Johns Hopkins University, while the top three institutions for issuing articles in China are the Eye Hospital of China Academy of Chinese Medical Science, Hunan University of Chinese Medicine, and Zhongshan Ophthalmic Center of Sun Yat-sen University. The research results of high-frequency keywords in both Chinese and English show that the laser photocoagulation, vitrectomy, traditional Chinese medicine therapy, vascular endothelial growth factor and ranibizumab are research hotspots.CONCLUSIONS: In recent years, the research hotspots of diabetic retinopathy mainly focus on surgery, vascular protective agents, traditional Chinese medicine therapy, anti-vascular endothelial growth factor, etc., and the research trend mainly focuses on anti-vascular endothelial growth factor drugs.

To investigate the crucial role of particle size in the biological effects of nanoparticles, a series of mesoporous silica nanoparticles (MSNs) were prepared with particle size gradients (50, 100, 150, 200 nm) with the traditional Stober method and adjusting the type and ratio of the silica source. The correlation between toxicity and size-caused biological effects were then further examined both in vitro and in vivo. The results indicated that the prepared MSNs had a uniform size, good dispersal, and ordered mesoporous structure. Hemolytic toxicity was found to be independent of particle size. At the cellular level, MSNs with smaller particle sizes were more readily internalized by cells, which initiated to more intense oxidative stress, therefor inducing higher cytotoxicity, and apoptosis rate. In vivo studies demonstrated that MSNs primarily accumulated in the liver and kidneys of mice. Pharmacokinetic analysis revealed that larger MSNs were eliminated more efficiently by the urinary system than smaller MSNs. The mice's body weight monitoring, blood tests, and pathological sections of major organs indicated good biocompatibility for MSNs of different sizes. Animal welfare and the animal experimental protocols were strictly consistent with related ethics regulations of Zhejiang Chinese Medical University. Overall, this study prepared MSNs with a particle size gradient to investigate the correlation between toxicity and particle size using macrophages and endothelial cells. The study also examined the biosafety of MSNs with different particle sizes in vivo and in vitro, which could help to improve the safety design strategy of MSNs for drug delivery systems.