Objective To evaluate the flushing effects of normal saline (NS) and heparin saline (HPS) after central venous catheterization. Methods We searched PubMed, EMbase, The Cochrane Library (Issue 12, 2015), CBM, CNKI, VIP and WanFang Data to collect randomized controlled trials (RCTs) on the flushing effects of NS versus HPS after central venous catheterization from inception to December 2015. Two reviewers independently screened literature, extracted data and assessed the risk of bias of included studies. Then RevMan 5.3 software was used for meta-analysis. Results A total of 12 RCTs involving 2 092 patients were included. The results of meta-analysis showed that no significant differences were found between the two groups in occlusion rate (OR=1.58, 95%CI 0.79 to 3.14,P=0.19) and the catheter days (OR=–7.24, 95%CI –22.90 to 8.41,P=0.36), while the HPS group had more advantage than the NS group in decreasing the incidence of phlebitis (OR=2.57, 95%CI 1.52 to 4.34,P=0.000 4). Subgroup analysis revealed that HPS provided more superiority over NS in lessening the occlusion rate (OR=1.85, 95%CI 1.22 to 2.80,P=0.004), no significant difference was found when comparing NS to 10 units, and 100 units HPS (10 units: OR=1.51, 95%CI 0.94 to 2.43,P=0.09; 100 units: OR=1.51, 95%CI 0.63 to 3.60,P=0.09). Conclusion HPS appears to be more beneficial than NS, larger rigorously studies are needed for better understanding on the effects of NS and HPS.
This article analyzes the supply and demand data of outpatient resources in a large comprehensive tertiary grade A hospital from 2021 to 2023. Cluster analysis is used to classify the offline outpatient volume of each department and identify five different department categories with different outpatient volume characteristics. Based on the differences in outpatient volume and resource utilization between different categories and departments, this paper explores the supply-demand matching relationship of outpatient resources under normal and emergency states from online and offline outpatient. Based on the dimensions of categories and departments, this paper proposes an outpatient resource planning strategy that takes into account both normal and emergency states, providing a basis for improving the quality and efficiency of outpatient services in large comprehensive tertiary grade A hospitals.
Objective To explore the pathogenesis of epilepsy (EP) and predict traditional Chinese medicine (TCM) prescriptions based on the concept of reverse network pharmacology. MethodsDifferentially expressed genes (DEGs) in EP were screened from the Gene Expression Omnibus (GEO) database. A weighted gene co-expression network analysis (WGCNA) was constructed to identify genes with the highest expression variability, which were then compared with EP target genes obtained from databases including GeneCards, Online Mendelian Inheritance in Man (OMIM), and Therapeutic Target Database (TTD). Core targets were screened using the STRING platform. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses were performed to elucidate the pathogenesis and signaling pathways of EP. After converting core targets using the UniProt database, active ingredients and corresponding TCM herbs were reversely collected from relevant databases. Cytoscape software was used for visualization and construction of the core target-active ingredient-TCM herb network. Molecular docking verification between core targets and core ingredients was conducted using CB-DOCK2 software, and TCM herbs with high degree values were finally determined. ResultsA total of 131 EP targets were obtained, and 30 key targets were selected based on degree values. GO enrichment analysis yielded 30 main entries, and KEGG enrichment analysis identified 10 signaling pathways. Seven blood-absorbable ingredients and 20 TCM herbs were matched from the Comparative Toxicogenomics Database (CTD) based on degree values. Molecular docking verification was performed between 6 core target proteins and 7 core ingredients with high degree values, and the results were stable and favorable. A total of 20 TCM herbs were screened out, including Corydalis Rhizoma, Daturae Flos, Bruceae Fructus, and Corydalis Decumbentis Rhizoma. ConclusionThe application of reverse network pharmacology thinking and molecular docking technology to predict targets, pathways, ingredients, and TCM prescriptions for epilepsy provides new ideas and theoretical basis for clinical treatment and research.