[Objective] To investigate the infection and characteristics of hepatitis E virus among blood donors in Hangzhou. [Methods] A total of 5 075 blood samples of blood donors from Zhejiang Provincial Blood Center from September to November 2023 were collected, including 5 037 samples with normal ALT and 38 samples with elevated ALT (>50 U/L). Enzyme-linked immunosorbent assay (ELISA) was used to detect anti-HEV IgM, anti-HEV IgG and HEV-Ag. The Fisher test and Chi-square test were used to evaluate the difference in the reactivity rates of anti-HEV IgM and anti-HEV IgG among different levels of ALT. The distribution characteristics of HEV screening in blood donors were analyzed. Univariate and multivariate logistic regression were used to analyze the susceptibility factors of anti-HEV IgM and anti-HEV IgG seropositivity, and the anti-HEV IgM-reactive blood donors were followed up by telephone. [Results] The reactivity rates of anti-HEV IgM, anti-HEV IgG and HEV-Ag in 5 075 blood samples were 0.45%, 22.98% and 0%, respectively. There was no difference in the reactivity rates of anti-HEV IgM and anti-HEV IgG among different levels of ALT (P>0.05), and the results of univariate and multivariate logistic regression analysis showed that age was a risk factor for anti-HEV IgM and anti-HEV IgG reactivity in blood donors (P<0.05), while no difference in the reactivity rates of anti-HEV IgM and anti-HEV IgG among blood donors was noticed in gender, occupation and education level (P>0.05). [Conclusion] There is a potential risk of transfusion-transmitted HEV (TT-HEV) in Hangzhou, and a cost-effective HEV screening strategy needs to be established to continue regular HEV surveillance in Hangzhou to assess the risk of infection.

OBJECTIVE To evaluate the influence of pharmaceutical quality control on the efficiency and outcomes of standardized medication therapy management （MTM） services for patients with coronary heart disease by using Economic， Clinical and Humanistic Outcomes （ECHO） model. METHODS This study collected case data of coronary heart disease patients who received MTM services during January-March 2023 （pre-quality control implementation group， n＝96） and June-August 2023 （post-quality control implementation group， n＝164）. Using propensity score matching analysis， 80 patients were selected from each group. The study subsequently compared the economic， clinical， and humanistic outcome indicators of pharmaceutical services between the two matched groups. RESULTS There were no statistically significant differences in baseline data between the two groups after matching （P＞0.05）. Compared with pre-quality control implementation group， the daily treatment cost （16.26 yuan vs. 24.40 yuan， P＜0.001）， cost-effectiveness ratio [23.12 yuan/quality-adjusted life year （QALY） vs. 32.32 yuan/QALY， P＜0.001]， and the incidence of general adverse drug reactions （2.50% vs. 10.00%， P＝0.049） of post-quality control implementation group were decreased significantly； the utility value of the EuroQol Five-Dimensional Questionnaire （0.74± 0.06 vs. 0.71±0.07， P＝0.003）， the reduction in the number of medication related problems （1.0 vs. 0.5， P＜0.001）， the medication adherence score （[ 6.32±0.48） points vs. （6.10±0.37） points， P＝0.001]， and the satisfaction score （[ 92.56±1.52） points vs. （91.95±1.56） points， P＝0.013] all showed significant improvements. Neither group experienced serious adverse drug reactions. There was no statistically significant difference in the incidence of new adverse reactions between the two groups （1.25% vs. 3.75%， P＝0.310）. CONCLUSIONS Pharmaceutical quality control can improve the quality of pharmaceutical care， and the ECHO model can quantitatively evaluate the effect of MTM services， making pharmaceutical care better priced and more adaptable to social needs， thus being worthy of promotion.

Objective:To analyze the short-term hospital-based transmission characteristics and gene variation of Carbapenem-Resistant Klebsiella pneumoniae (CRKP) by genome-wide technique to provide evidence for transmission control. Methods:The experimental strain was derived from all the CRKP isolated in Affiliated Hospital of North China University of Science and Technology from October 2022 to December 2023. Strain identification and drug susceptibility were tested with VITEK 2-Compact automatic bacterial identification drug susceptibility analyzer or disk method, and the results were interpreted through whole genome sequencing. The ST type, carbapenem resistance gene, virulence factor, and O serotype of the collected strains were analyzed.Results:Among the 115 strains of CRKP, 94 strains were isolated from the intensive care unit (ICU), accounting for 81.7%, and 21 strains were isolated from the non-intensive care unit (NICU), accounting for 18.3%. The 115 strains of CRKP can be divided into 11 ST types, of which ST11 type was the most (54.8%, 63/115), followed by ST15 type (22.6%, 26/115) and ST5492 type (15.7%, 18/115). Type ST5492 was a new clonal group in the region. The 115 strains of CRKP could be divided into 7 O serotypes, most of which were O2a type(32.2%,37/115), followed by O5 type(30.4%,35/115) and O1 type(27.8%,32/115). The resistance genes of carbapenem antibiotics showed that there were 107 strains carrying the blaKPC-2 gene, one strain with the blaNDM-1 gene, and one strain with both the blaKPC-2 and blaNDM-13 genes. Virulence genes were detected in 55 CRKP strains (47.8%, 55/115), among which six strains detected peg-344, iucA, iroB, rmpA, and rmpA2 virulence genes (5.2%, 6/115). Four virulence genes ( peg-344, iucA, rmpA, and rmpA2) were detected in 34 strains (29.6%, 34/115). Three virulence genes ( iucA, iroB and rmpA) were detected in two strains (1.7%, 2/115). Three virulence genes ( peg-344, iucA and rmpA) were detected in one strain (0.8%, 1/115). IucA and rmpA virulence genes were detected in 12 strains (10.4%, 12/115). KPC-2_ST11_O2a, KPC-2_ST15_O1 and KPC-2_ST5492_O5 were dominant clones, and their distribution was mainly in the intensive care unit. The whole genome sequence analysis showed that there were three dominant clones, among which ST11 clones were subdivided into three dominant O serotypes, all of which were mainly in the intensive care unit. Conclusion:The popular strain in the hospital of CRKP is a KPC-2_ST11 clone group carrying iucA, rmpA/rmpA2, with cross-department transmission and mutation. ST5492 is a newly-launched clone type. The intensive care unit of hvKP carrying five virulence genes, including peg-344, should be alert to the epidemic risk of CR-hvKP outbreak.

Objective To study how lipid bilayer fluidity modulates the interaction between β1 integrin and CD40L,as well as the formation of CD40L-mediated tumor cell contact interfaces.Methods Supported lipid bilayers(SLB)with different fluidities were prepared through adjusting the 1,2-dioleoyl-sn-glycero-3-[N-(5-amino-l-carboxypentyl)iminodiacetic acid]succinyl nickel salt(DGS-NTA)content.The functionalization of lipid bilayers was achieved by anchoring fluorescently labeled CD40L molecules onto the membrane surface.The contact interface formation of PC9 cells on the functionalized lipid bilayers was observed through confocal fluorescence imaging and fluorescence recovery after photobleaching(FRAP)experiments,and data of two dimensional(2D)reaction kinetics of β1 integrin and CD40L were extracted from Zhu-Golan plots.Results The diffusion coefficient of molecules in lipid bilayer was negatively correlated with DGS-NTA content.High fluidity of lipid bilayer promoted CD40L accumulation at cell contact interface and expanded the cell contact area.The 2D dissociation constants(2D Kd)of β1 integrin-CD40L complexes were approximately 13,31 and 65 molecules/μm2 for the three lipid bilayers with high,moderate and low fluidities,respectively.Conclusions High fluidity of lipid bilayers significantly facilitates diffusion and aggregation of CD40L to the cell contact interface,thus enhancing β1 integrin-CD40L interaction and the stability of cell contact interfaces.

Objective To study how lipid bilayer fluidity modulates the interaction between β1 integrin and CD40L,as well as the formation of CD40L-mediated tumor cell contact interfaces.Methods Supported lipid bilayers(SLB)with different fluidities were prepared through adjusting the 1,2-dioleoyl-sn-glycero-3-[N-(5-amino-l-carboxypentyl)iminodiacetic acid]succinyl nickel salt(DGS-NTA)content.The functionalization of lipid bilayers was achieved by anchoring fluorescently labeled CD40L molecules onto the membrane surface.The contact interface formation of PC9 cells on the functionalized lipid bilayers was observed through confocal fluorescence imaging and fluorescence recovery after photobleaching(FRAP)experiments,and data of two dimensional(2D)reaction kinetics of β1 integrin and CD40L were extracted from Zhu-Golan plots.Results The diffusion coefficient of molecules in lipid bilayer was negatively correlated with DGS-NTA content.High fluidity of lipid bilayer promoted CD40L accumulation at cell contact interface and expanded the cell contact area.The 2D dissociation constants(2D Kd)of β1 integrin-CD40L complexes were approximately 13,31 and 65 molecules/μm2 for the three lipid bilayers with high,moderate and low fluidities,respectively.Conclusions High fluidity of lipid bilayers significantly facilitates diffusion and aggregation of CD40L to the cell contact interface,thus enhancing β1 integrin-CD40L interaction and the stability of cell contact interfaces.

Objective:To analyze the short-term hospital-based transmission characteristics and gene variation of Carbapenem-Resistant Klebsiella pneumoniae (CRKP) by genome-wide technique to provide evidence for transmission control. Methods:The experimental strain was derived from all the CRKP isolated in Affiliated Hospital of North China University of Science and Technology from October 2022 to December 2023. Strain identification and drug susceptibility were tested with VITEK 2-Compact automatic bacterial identification drug susceptibility analyzer or disk method, and the results were interpreted through whole genome sequencing. The ST type, carbapenem resistance gene, virulence factor, and O serotype of the collected strains were analyzed.Results:Among the 115 strains of CRKP, 94 strains were isolated from the intensive care unit (ICU), accounting for 81.7%, and 21 strains were isolated from the non-intensive care unit (NICU), accounting for 18.3%. The 115 strains of CRKP can be divided into 11 ST types, of which ST11 type was the most (54.8%, 63/115), followed by ST15 type (22.6%, 26/115) and ST5492 type (15.7%, 18/115). Type ST5492 was a new clonal group in the region. The 115 strains of CRKP could be divided into 7 O serotypes, most of which were O2a type(32.2%,37/115), followed by O5 type(30.4%,35/115) and O1 type(27.8%,32/115). The resistance genes of carbapenem antibiotics showed that there were 107 strains carrying the blaKPC-2 gene, one strain with the blaNDM-1 gene, and one strain with both the blaKPC-2 and blaNDM-13 genes. Virulence genes were detected in 55 CRKP strains (47.8%, 55/115), among which six strains detected peg-344, iucA, iroB, rmpA, and rmpA2 virulence genes (5.2%, 6/115). Four virulence genes ( peg-344, iucA, rmpA, and rmpA2) were detected in 34 strains (29.6%, 34/115). Three virulence genes ( iucA, iroB and rmpA) were detected in two strains (1.7%, 2/115). Three virulence genes ( peg-344, iucA and rmpA) were detected in one strain (0.8%, 1/115). IucA and rmpA virulence genes were detected in 12 strains (10.4%, 12/115). KPC-2_ST11_O2a, KPC-2_ST15_O1 and KPC-2_ST5492_O5 were dominant clones, and their distribution was mainly in the intensive care unit. The whole genome sequence analysis showed that there were three dominant clones, among which ST11 clones were subdivided into three dominant O serotypes, all of which were mainly in the intensive care unit. Conclusion:The popular strain in the hospital of CRKP is a KPC-2_ST11 clone group carrying iucA, rmpA/rmpA2, with cross-department transmission and mutation. ST5492 is a newly-launched clone type. The intensive care unit of hvKP carrying five virulence genes, including peg-344, should be alert to the epidemic risk of CR-hvKP outbreak.

Objective It screens the main factors influencing the choice of the governance structure of the medical alliances,and discusses the matching relationship between the type of governance structure and the performance of the medical alliances,which provides a reference for further promoting the medical alliances.Methods The text coding analysis of interview data from hospital administrators of 54 medical institutions was analyzed using the rooting theory,and 150 medical alliances were selected for questionnaire surveys using convenience sampling to analyze the performance of the medical alliances and the relationship with the choice of the type of governance structure using descriptive statistics,nonparametric tests,factor analysis,and multivariate linear regression.Results The results show that the following factors affect the selection of the governance structure of medical alliances:asset specificity,transaction frequency and uncertainty;regardless of the type of governance structure of the medical alliances,asset specificity and uncertainty both significantly and positively influence the performance of medical alliances.Under the governance structure of the property-type alliance,transaction frequency has no statistically significant effect on the performance of the medical alliances.Conclusion Enhancing the positive impact of asset exclusivity and uncertainty on the performance of medical alliances.

Objective It screens the main factors influencing the choice of the governance structure of the medical alliances,and discusses the matching relationship between the type of governance structure and the performance of the medical alliances,which provides a reference for further promoting the medical alliances.Methods The text coding analysis of interview data from hospital administrators of 54 medical institutions was analyzed using the rooting theory,and 150 medical alliances were selected for questionnaire surveys using convenience sampling to analyze the performance of the medical alliances and the relationship with the choice of the type of governance structure using descriptive statistics,nonparametric tests,factor analysis,and multivariate linear regression.Results The results show that the following factors affect the selection of the governance structure of medical alliances:asset specificity,transaction frequency and uncertainty;regardless of the type of governance structure of the medical alliances,asset specificity and uncertainty both significantly and positively influence the performance of medical alliances.Under the governance structure of the property-type alliance,transaction frequency has no statistically significant effect on the performance of the medical alliances.Conclusion Enhancing the positive impact of asset exclusivity and uncertainty on the performance of medical alliances.

Objective It screens the main factors influencing the choice of the governance structure of the medical alliances,and discusses the matching relationship between the type of governance structure and the performance of the medical alliances,which provides a reference for further promoting the medical alliances.Methods The text coding analysis of interview data from hospital administrators of 54 medical institutions was analyzed using the rooting theory,and 150 medical alliances were selected for questionnaire surveys using convenience sampling to analyze the performance of the medical alliances and the relationship with the choice of the type of governance structure using descriptive statistics,nonparametric tests,factor analysis,and multivariate linear regression.Results The results show that the following factors affect the selection of the governance structure of medical alliances:asset specificity,transaction frequency and uncertainty;regardless of the type of governance structure of the medical alliances,asset specificity and uncertainty both significantly and positively influence the performance of medical alliances.Under the governance structure of the property-type alliance,transaction frequency has no statistically significant effect on the performance of the medical alliances.Conclusion Enhancing the positive impact of asset exclusivity and uncertainty on the performance of medical alliances.

Objective It screens the main factors influencing the choice of the governance structure of the medical alliances,and discusses the matching relationship between the type of governance structure and the performance of the medical alliances,which provides a reference for further promoting the medical alliances.Methods The text coding analysis of interview data from hospital administrators of 54 medical institutions was analyzed using the rooting theory,and 150 medical alliances were selected for questionnaire surveys using convenience sampling to analyze the performance of the medical alliances and the relationship with the choice of the type of governance structure using descriptive statistics,nonparametric tests,factor analysis,and multivariate linear regression.Results The results show that the following factors affect the selection of the governance structure of medical alliances:asset specificity,transaction frequency and uncertainty;regardless of the type of governance structure of the medical alliances,asset specificity and uncertainty both significantly and positively influence the performance of medical alliances.Under the governance structure of the property-type alliance,transaction frequency has no statistically significant effect on the performance of the medical alliances.Conclusion Enhancing the positive impact of asset exclusivity and uncertainty on the performance of medical alliances.