Objective:To investigate the centralized management mode of cleaning disinfection and for ventilator, monitor, injection pump and infusion pump in our hospital so as to achieve scientific management and further development for hospital.Methods: The qualified rates of ventilator, monitor, injection pump and infusion pump, and satisfied degree of various department for them were analyzed after the centralized management was implemented.Results:After the centralized management was implemented, the cleaning qualified rates of ventilator, monitor, injection pump and infusion pump were, 99.25%, 99.78%, 99.47% and 98.94%, respectively. And the satisfaction scores of various departments for the application of equipment, equipment allocation and equipment recovery were significantly higher than those in 2013 (t=4.18,t=4.62,t=3.86,P<0.01).Conclusion: After the centralized management for routine emergency equipment is carried out by the cleaning disinfection center, the cleaning qualified rates of equipment and satisfaction of various departments has been significantly increased. Therefore, it is worthy to be applied and promoted.

Objective To investigate the curative effect of using new irrigation pump in acute hematogenous osteomyelitis.Methods Forty patients with acute hematogenous osteomyelitis were divided into the control group and observation group,20 cases in each group.The control group adopted the conventional lavage for drainage,while the observation group used self-made irrigation pump.Then the clinical curative effect and cure time were compared between the two groups.Results The total effective rate in the observation group was 100.00 ％,which was significantly higher than 80.00 ％ in the control group(P＜0.05),and the difference was statistically significant(P＜0.05).The cure time in the observation group was(10.13 ± 8.03)d,which was significantly shorter than (18.14-±5.43)in the control group,and the difference was statistically significant(P＜0.05).Conclusion The curative effect of new type irrigation pump in acute hematogenous osteomyelitis is more acurate than that of conventional lavage for vacuum darianage.

Objective:To establish a protein-protein interaction (PPI) network of 5 microRNA (miRNA) target genes differentially expressed in the plasma of coal-burning fluoride exposed population, and to screen genes and gene modules with important roles.Methods:Five miRNA (hsa-miRNA-3131, hsa-miRNA-4516, hsa-miRNA-6501-5p, hsa-miRNA-10b-5p, hsa-miRNA-4683) target genes differentially expressed in the plasma of coal-burning fluoride exposed population screened by our previous study were mapped to the STRING online database (https://string-db.org), and the PPI network was screened. The Cytoscape v3.6.0 software was used to visualize the PPI network, the topological attribute values degree and betweenness centrality were obtained by the NetworkAnalyzer plug-in, and the central node was filtered in the network (the node with the highest degree and the highest betweenness centrality). At the same time, the maximal clique centrality (MCC) analysis method in the CytoHubba plug-in was used to determine the important nodes in the PPI network. The cluster analysis was conducted by the MCODE plug-in, and the gene modules were screened in the PPI network. The protein names contained in the gene modules were submitted online to the KOBAS v3.0 database (http://kobas.cbi.pku.edu.cn/), and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis was performed on the gene modules selected by the MCODE plug-in.Results:The PPI network of target genes was consisted of 1 035 nodes and 4 346 edges. The degree (101) and betweenness centrality (0.010 723 89) of ubiquitin A-52 residue ribosomal protein fusion product 1 (UBA52) were the highest, which was the central node of the PPI network. According to MCC analysis, UBA52 was an important node in the PPI network. The top 5 gene modules were selected from the PPI network, and the highly enriched gene pathways in the KEGG pathway enrichment analysis of the 5 gene modules included ubiquitin mediated proteolysis, spliceosome, endocytosis, neuroactive ligand-receptor interaction and vesicular transport.Conclusion:The PPI network of 5 miRNA target genes differentially expressed in the plasma of people exposed to coal-burning pollution of fluoride is successfully established, and the UBA52 gene and the 5 main pathways of gene modules are selected.

【Objective】 To explore and evaluate the application of blood intelligent management platform (scheme) based on the Internet of Things(IoT)in the clinical blood management for hospitals. 【Methods】 Based on radio frequency identification technology (RFID), smart blood refrigerators, IoT blood shipping containers, automated blood bank systems, smart blood management software, etc. were developed and integrated as an IoT blood intelligent management platform (scheme). The blood storage, management software and hardware systems were organically combined, and the blood storage equipment was moved forward to the clinical departments to solve the concerns of clinicians. 【Results】 The in-depth integration of IoT technology, RFID and refrigeration technology has built an RFID-based IoT blood management solution, which integrates blood storage, transfusion, and quality control management, also realizes the entire process of supervision and traceability of clinical blood transfusion. The forward movement of blood bank to the clinical departments and the implementation of electronic cross-matching streamlined and optimized the clinical blood flow. The waiting time of patient′s for blood transfusion was shortened from (40±10) min to less than 2 min. The whole process of cold chain logistics ensured the storage quality of blood products issued, so that the clinical departments can return the untransfused blood and Blood Transfusion Department can reissue it to other hospitals. 【Conclusion】 IoT blood intelligent management based on RFID realizes the intelligent management of clinical blood transfusion and blood information traceability. The forward movement of blood bank to the clinical departments improves the efficiency of clinical blood transfusion, avoids the waste of blood source, and ensures the safety of blood transfusion. It is worth promoting in the whole process of blood transfusion.

Dendritic cells (DCs) comprise two functionally distinct subsets: plasmacytoid DCs (pDCs) and myeloid DCs (mDCs). pDCs are specialized in rapid and massive secretion of type I interferon (IFN-I) in response to nucleic acids through Toll like receptor (TLR)-7 or TLR-9. In this report, we characterized a CD56(+) DC population that express typical pDC markers including CD123 and BDCA2 but produce much less IFN-I comparing with pDCs. In addition, CD56(+) DCs cluster together with mDCs but not pDCs by genome-wide transcriptional profiling. Accordingly, CD56(+) DCs functionally resemble mDCs by producing IL-12 upon TLR4 stimulation and priming naïve T cells without prior activation. These data suggest that the CD56(+) DCs represent a novel mDC subset mixed with some pDC features. A CD4(+)CD56(+) hematological malignancy was classified as blastic plasmacytoid dendritic cell neoplasm (BPDCN) due to its expression of characteristic molecules of pDCs. However, we demonstrated that BPDCN is closer to CD56(+) DCs than pDCs by global gene-expression profiling. Thus, we propose that the CD4(+)CD56(+) neoplasm may be a tumor counterpart of CD56(+) mDCs but not pDCs.
Biomarkers ; metabolism ; CD56 Antigen ; genetics ; immunology ; Cell Lineage ; genetics ; immunology ; Dendritic Cells ; immunology ; metabolism ; pathology ; Gene Expression ; Hematologic Neoplasms ; genetics ; immunology ; pathology ; Humans ; Immunophenotyping ; Interferon Type I ; biosynthesis ; metabolism ; Interleukin-12 ; biosynthesis ; metabolism ; Interleukin-3 Receptor alpha Subunit ; genetics ; immunology ; Lectins, C-Type ; genetics ; immunology ; Membrane Glycoproteins ; genetics ; immunology ; Myeloid Cells ; immunology ; metabolism ; pathology ; Receptors, Immunologic ; genetics ; immunology ; Terminology as Topic ; Toll-Like Receptor 4 ; genetics ; immunology ; Toll-Like Receptor 7 ; genetics ; immunology ; Toll-Like Receptor 9 ; genetics ; immunology