Objective To identify and cluster non-O1/O139 Vibrio cholerae(NOVC)using matrix-assisted laser desorption/ionization time-of-flight mass spectrometry(MALDI-TOF MS),and evaluate the feasibility of MALDI-TOF MS as a method for the identification and clustering of NOVC.Methods The NOVC was identified by the MALDI-TOF MS equipped with V5 database,V12 database,highly pathogenic bacteria database,and V5 database combined with self-built spectrum projection and analyzed by the principal com-ponent analysis(PCA)and main spectrum projection(MSP)clustering.Results The NOVC was incorrectly identified as Vibrio al-bensis by the MALDI-TOF MS equipped with V5 database or V12 database,while the MALDI-TOF MS equipped with highly pathogenic bacteria database or V5 database combined with self-built spectrum projection could correctly identify NOVC.The PCA clustering of MALDI-TOF MS could distinguish NOVC from other bacterial strains and refine the differentiation of NOVC species to show the dis-tance relationship between NOVC species.Some spectrum projections of NOVC were extremely similar to the reference strains used to establish the database,and MSP clustering could not distinguish the differences between NOVC species.Conclusion The identifica-tion ability of MALDI-TOF MS for NOVC is limited by its database.The MALDI-TOF MS equipped with highly pathogenic bacteria da-tabase or V5 database combined with the self-built spectrum projection can accurately identify NOVC.The PCA clustering of MALDI-TOF MS has certain reference significance for the intra-and inter-species identification and homology analysis of NOVC.

Objective To investigate the antimicrobial resistance of clinical isolates from elderly patients(≥65 years)in major medical institutions across China.Methods Bacterial strains were isolated from elderly patients in 52 hospitals participating in the CHINET Antimicrobial Resistance Surveillance Program during the period from 2015 to 2021.Antimicrobial susceptibility test was carried out by disk diffusion method and automated systems according to the same CHINET protocol.The data were interpreted in accordance with the breakpoints recommended by the Clinical and Laboratory Standards Institute(CLSI)in 2021.Results A total of 514 715 nonduplicate clinical isolates were collected from elderly patients in 52 hospitals from January 1,2015 to December 31,2021.The number of isolates accounted for 34.3％of the total number of clinical isolates from all patients.Overall,21.8％of the 514 715 strains were gram-positive bacteria,and 78.2％were gram-negative bacteria.Majority(90.9％)of the strains were isolated from inpatients.About 42.9％of the strains were isolated from respiratory specimens,and 22.9％were isolated from urine.More than half(60.7％)of the strains were isolated from male patients,and 39.3％isolated from females.About 51.1％of the strains were isolated from patients aged 65-＜75 years.The prevalence of methicillin-resistant strains(MRSA)was 38.8％in 32 190 strains of Staphylococcus aureus.No vancomycin-or linezolid-resistant strains were found.The resistance rate of E.faecalis to most antibiotics was significantly lower than that of Enterococcus faecium,but a few vancomycin-resistant strains(0.2％,1.5％)and linezolid-resistant strains(3.4％,0.3％)were found in E.faecalis and E.faecium.The prevalence of penicillin-susceptible S.pneumoniae(PSSP),penicillin-intermediate S.pneumoniae(PISP),and penicillin-resistant S.pneumoniae(PRSP)was 94.3％,4.0％,and 1.7％in nonmeningitis S.pneumoniae isolates.The resistance rates of Klebsiella spp.(Klebsiella pneumoniae 93.2％)to imipenem and meropenem were 20.9％and 22.3％,respectively.Other Enterobacterales species were highly sensitive to carbapenem antibiotics.Only 1.7％-7.8％of other Enterobacterales strains were resistant to carbapenems.The resistance rates of Acinetobacter spp.(Acinetobacter baumannii 90.6％)to imipenem and meropenem were 68.4％and 70.6％respectively,while 28.5％and 24.3％of P.aeruginosa strains were resistant to imipenem and meropenem,respectively.Conclusions The number of clinical isolates from elderly patients is increasing year by year,especially in the 65-＜75 age group.Respiratory tract isolates were more prevalent in male elderly patients,and urinary tract isolates were more prevalent in female elderly patients.Klebsiella isolates were increasingly resistant to multiple antimicrobial agents,especially carbapenems.Antimicrobial resistance surveillance is helpful for accurate empirical antimicrobial therapy in elderly patients.

Objective To perform the identification at the subspecies-level of Mycobacterium abscessus(M.abscessus)and analyze its characteristics based on matrix-assisted laser desorption ionization time-of-flight mass spectrometry(MALDI-TOF MS).Methods Bi-otyper software was used to construct the predicted peak spectrum of M.abscessus subsp.abscessus and M.abscessus subsp.massiliense.The predicted peak spectrum was constructed with expected maximum peak value number of 70 and peak frequency of 100％in the ex-perimental group and control group,respectively.A blind test was performed on 31 strains of M.abscessus that were not used to con-struct predictive peak spectra to evaluate the identification efficiency of predictive peak spectra.FlexAnalysis software was used to sum-marize and analyze the list of mass spectral peak value of M.abscessus,and screen the specific peaks in mass spectra of different sub-species of M.abscessus.The principal component analysis(PCA)algorithm was used to perform the cluster analysis for the data from mass spectrometry of M.abscessus,and explore the feasibility of PCA clustering in distinguishing the subspecies of M.abscessus.Results In the experimental group,96.8％(30/31)of the strains were correctly identified,and one strain of M.abscessus subsp.massiliense with rough colony form was mistakenly identified as M.abscessus subsp.abscessus.In control group,77.4％(24/31)of the strains were correctly identified,but 7 strains of M.abscessus subsp.massiliense were incorrectly identified or unable to be identified.The identification efficiency in the experimental group was significantly better than that in the control group with statistical difference(X2=5.167,P=0.026).M.abscessus subsp.abscessus exhibited three specific peaks(m/z 4 001.67,4 386.81 and 4 963.17),and M.abscessus subsp.massiliense also exhibited three specific peaks(m/z 4 950.48,4 381.78 and 5 214.90).In the PCA 3D scatter plot,the data points of M.abscessus subsp.abscessus and M.abscessus subsp.massiliense were relatively dispersed without obvious clus-tering.The PC A dendrograph could be divided into six branches in which only four branches were composed of a single subspecies.The minimum level value of distance between M.abscessus subsp.abscessus and M.abscessus subsp.massiliense was about 0.1.Conclusion The predicted peak spectrum based on MALDI-TOF MS with the expected maximum peak number of 70 could accurately identify M.abscessus at the subspecies level.The specific peak of mass spectrometry method in this study should be feasible to distinguish the subspecies of M.abscessus subsp.abscessus and the subspecies of M.abscessus subsp.Massiliense,but PCA cluster analysis cannot be used as a means to distinguish M.abscessus subsp.abscessus from M.abscessus subsp.massiliense.

Objective Based on the SWOT analysis method,the temporary medical order dispensing service model of pharmacy intravenous admixture service(PIVAS)of M Hospital was constructed and its implementation effect was evaluated,so as to provide reference for other medical institutions to carry out PIVAS temporary dispensing services.Methods SWOT analysis was used to analyze the advantages,disadvantages,opportunities and threats of PIVAS in M Hospital,and targeted operation strategies and practices were proposed.The safety of intravenous medication,the level of pharmacy service and the cost-effectiveness of the department were used to evaluate the implementation effect of PIVAS temporary medical order dispensing service.Results After the operation strategy of PIVAS temporary medical order dispensing service was constructed and implemented based on SWOT analysis,the time of a single medical order for PIVAS labeling in M Hospital was significantly decreased from(7.19±0.06)s/bag to(6.06±0.09)s/bag(P＜0.05);and the number of errors was significantly reduced from(32.50±2.54)pieces/quarter to(19.75±0.59)pieces/quarter(P＜0.05);The qualified rate of temporary prescription increased from(60.52±1.17)％to(90.63±1.72)％(P＜0.05);The qualified rate of finished infusion delivery time increased from(80.63±1.66)％to(90.80±2.98)％(P＜0.05);The satisfaction rate of PIVAS service in the ward increased from 50％to 90％(P＜0.05);the cost of blending decreased from(3.50±0.05)yuan/bag to(3.00±0.12)yuan/bag(P＜0.05).Conclusion The operation strategy of PIVAS temporary medical order dispensing service of M Hospital based on SWOT analysis gives full play to its own advantages,provides more comprehensive and high-quality services for clinicians and patients,ensures the safety and timeliness of patients' medication,and improves the economic efficiency of the department,which is worthy of reference and promotion.

Objective To examine the changing prevalence and antimicrobial resistance profiles of Burkholderia cepacia in 52 hospitals across China from 2015 to 2021.Methods A total of 9 261 strains of B.cepacia were collected from 52 hospitals between January 1,2015 and December 31,2021.Antimicrobial susceptibility of the strains was tested using Kirby-Bauer method or automated antimicrobial susceptibility testing systems according to a unified protocol.The results were interpreted according to the breakpoints released in the Clinical & Laboratory Standards Institute(CLSI)guidelines(2023 edition).Results A total of 9 261 strains of B.cepacia were isolated from all age groups,especially elderly patients.The proportion was 11.1％(1 032 strains)in children,significantly lower than the proportion in adults.About half(46.5％,4 310/9 261)of the strains were isolated from patients at least 60 years old and 42.3％(3 919/9 261)of the strains were isolated from young adults.Most isolates(71.1％)were isolated from sputum and respiratory secretions,followed by urine(10.7％)and blood samples(8.1％).B.cepacia isolates were highly susceptible to the five antimicrobial agents recommended in the CLSI M100 document(33rd edition,2023).B.cepacia isolates showed relatively higher resistance rates to meropenem and levofloxacin.However,the resistance rates to ceftazidime,trimethoprim-sulfamethoxazole,and minocycline remained below 8.1％.The percentage of B.cepacia strains resistant to levofloxacin was the highest compared to other antibiotics in any of the three age groups(from 12.4％in the patients＜18 years old to 20.6％in the patients aged 60 years or older).Conclusions B.cepacia is one of the clinically important non-fermenting gram-negative bacteria.Accurate and timely reporting of antimicrobial susceptibility test results and ongoing antimicrobial resistance surveillance are helpful for rational prescription of antimicrobial agents and proper prevention and control of nosocomial infections.

Objective To explore the value of analysis on the incidence of healthcare-associated infection(HAI)based on disease diagnosis-related grouping(DRG),case mix index(CMI),and relative weight(RW).Methods All discharged cases,DRG and HAI status in a tertiary first-class general hospital from January 1 to December 31,2023 were analyzed retrospectively.Incidences of HAI in different departments were adjusted and compared by CMI.Incidences of HAI in different DRG groups were adjusted by RW.Results Among the 47 695 cases included in the analysis,757 were HAI cases,including 225 DRG groups.The department of critical care medicine had the highest incidence of HAI(11.98％).After CMI adjustment,departments with higher incidence of HAI were main-ly the department of respiratory and critical care medicine(3.96％),department of critical care medicine(3.04％),and department of neurology(2.85％),et al.DRG groups with the top five high incidence of HAI were AH11(tracheotomy and with ventilator support ≥96 hours or extracorporeal membrane oxygenation[ECMO],accompa-nied by major complications and comorbidity[MCC],50.00％),BC29(ventricular shunt and revision surgery,31.43％),BB21(craniotomy other than trauma,accompanied by MCC,27.56％),BB11(craniotomy of brain trauma,accompanied by MCC,26.32％),and GB1A(major surgery of esophagus,stomach,and duodenum,accompanied by major or moderate complications and comorbidity,16.00％).After RW adjustment,the DRG groups with the top five high incidence of HAI were ES21(respiratory system infection/inflammation,accompanied by MCC,5.89％),BR21(cerebral ischemic disease,accompanied by MCC,5.17％),FR11(heart failure,shock,accompanied by MCC,4.80％),BC29(4.57％)and AH11(3.57％).Conclusion Analyzing the incidence of HAI based on CMI and RW can help to identify key departments and disease groups for infection prevention and control,and provide reference for precise prevention and control of HAI in the new era.

Aim To investigate the antidepressant mechanism of hyperforin via the utilization of single-cell sequencing technology.Methods C57BL/6 mice were randomly divided into the control group,depres-sion model group,and hyperforin intervention group.The chronic unpredictable mild stress(CUMS)model was induced and drug interventions were administered for 28 d.Behavioral experiments were conducted to as-sess depressive symptoms,and hippocampal tissue was collected for single-cell RNA sequencing.Key cell populations and differentially expressed genes across groups were identified,followed by PPI network,GO,and KEGG enrichment analysis.Results Behavioral experiments indicated that CUMS successfully induced depressive symptoms in mice,while hyperforin im-proved depressive behavior.In the depression model group,the proportion of brain perivascular macrophages(PVM)increased,and this proportion decreased after hyperforin intervention,approaching the level seen in the control group.The top 20 common differentially ex-pressed genes in the PVM subpopulation were Saa3,Hbb-bs and Ccl24.PPI network analysis identified core targets,including Ccl2,Dhx9,C3,Msr1,Cxcl2 and Cx3cr1.KEGG enrichment analysis revealed pathways related to chemokines,phagosome formation,and inosi-tol phosphate metabolism.Conclusion The antide-pressant mechanism of hyperforin may be related to the regulation of Ccl24 and its related chemokine signaling pathway by PVM.

Objective To examine the changing prevalence and antimicrobial resistance profiles of Burkholderia cepacia in 52 hospitals across China from 2015 to 2021.Methods A total of 9 261 strains of B.cepacia were collected from 52 hospitals between January 1,2015 and December 31,2021.Antimicrobial susceptibility of the strains was tested using Kirby-Bauer method or automated antimicrobial susceptibility testing systems according to a unified protocol.The results were interpreted according to the breakpoints released in the Clinical & Laboratory Standards Institute(CLSI)guidelines(2023 edition).Results A total of 9 261 strains of B.cepacia were isolated from all age groups,especially elderly patients.The proportion was 11.1％(1 032 strains)in children,significantly lower than the proportion in adults.About half(46.5％,4 310/9 261)of the strains were isolated from patients at least 60 years old and 42.3％(3 919/9 261)of the strains were isolated from young adults.Most isolates(71.1％)were isolated from sputum and respiratory secretions,followed by urine(10.7％)and blood samples(8.1％).B.cepacia isolates were highly susceptible to the five antimicrobial agents recommended in the CLSI M100 document(33rd edition,2023).B.cepacia isolates showed relatively higher resistance rates to meropenem and levofloxacin.However,the resistance rates to ceftazidime,trimethoprim-sulfamethoxazole,and minocycline remained below 8.1％.The percentage of B.cepacia strains resistant to levofloxacin was the highest compared to other antibiotics in any of the three age groups(from 12.4％in the patients＜18 years old to 20.6％in the patients aged 60 years or older).Conclusions B.cepacia is one of the clinically important non-fermenting gram-negative bacteria.Accurate and timely reporting of antimicrobial susceptibility test results and ongoing antimicrobial resistance surveillance are helpful for rational prescription of antimicrobial agents and proper prevention and control of nosocomial infections.

Objective To explore the value of analysis on the incidence of healthcare-associated infection(HAI)based on disease diagnosis-related grouping(DRG),case mix index(CMI),and relative weight(RW).Methods All discharged cases,DRG and HAI status in a tertiary first-class general hospital from January 1 to December 31,2023 were analyzed retrospectively.Incidences of HAI in different departments were adjusted and compared by CMI.Incidences of HAI in different DRG groups were adjusted by RW.Results Among the 47 695 cases included in the analysis,757 were HAI cases,including 225 DRG groups.The department of critical care medicine had the highest incidence of HAI(11.98％).After CMI adjustment,departments with higher incidence of HAI were main-ly the department of respiratory and critical care medicine(3.96％),department of critical care medicine(3.04％),and department of neurology(2.85％),et al.DRG groups with the top five high incidence of HAI were AH11(tracheotomy and with ventilator support ≥96 hours or extracorporeal membrane oxygenation[ECMO],accompa-nied by major complications and comorbidity[MCC],50.00％),BC29(ventricular shunt and revision surgery,31.43％),BB21(craniotomy other than trauma,accompanied by MCC,27.56％),BB11(craniotomy of brain trauma,accompanied by MCC,26.32％),and GB1A(major surgery of esophagus,stomach,and duodenum,accompanied by major or moderate complications and comorbidity,16.00％).After RW adjustment,the DRG groups with the top five high incidence of HAI were ES21(respiratory system infection/inflammation,accompanied by MCC,5.89％),BR21(cerebral ischemic disease,accompanied by MCC,5.17％),FR11(heart failure,shock,accompanied by MCC,4.80％),BC29(4.57％)and AH11(3.57％).Conclusion Analyzing the incidence of HAI based on CMI and RW can help to identify key departments and disease groups for infection prevention and control,and provide reference for precise prevention and control of HAI in the new era.

Aim To investigate the antidepressant mechanism of hyperforin via the utilization of single-cell sequencing technology.Methods C57BL/6 mice were randomly divided into the control group,depres-sion model group,and hyperforin intervention group.The chronic unpredictable mild stress(CUMS)model was induced and drug interventions were administered for 28 d.Behavioral experiments were conducted to as-sess depressive symptoms,and hippocampal tissue was collected for single-cell RNA sequencing.Key cell populations and differentially expressed genes across groups were identified,followed by PPI network,GO,and KEGG enrichment analysis.Results Behavioral experiments indicated that CUMS successfully induced depressive symptoms in mice,while hyperforin im-proved depressive behavior.In the depression model group,the proportion of brain perivascular macrophages(PVM)increased,and this proportion decreased after hyperforin intervention,approaching the level seen in the control group.The top 20 common differentially ex-pressed genes in the PVM subpopulation were Saa3,Hbb-bs and Ccl24.PPI network analysis identified core targets,including Ccl2,Dhx9,C3,Msr1,Cxcl2 and Cx3cr1.KEGG enrichment analysis revealed pathways related to chemokines,phagosome formation,and inosi-tol phosphate metabolism.Conclusion The antide-pressant mechanism of hyperforin may be related to the regulation of Ccl24 and its related chemokine signaling pathway by PVM.