Objective:To construct a risk classification model based on logistic regression for medical equipment,so as to improve the application efficiency of medical equipment in the department of cardiovascular medicine. Methods:The logistic regression algorithm was used to construct the risk grade of adverse event of medical equipment of the department of cardiovascular medicine,and data collation and analysis were used to realize monitoring and management control for medical equipment. The 31 sets used medical equipment in the Department of Cardiovascular equipment of Xi'an No.3 Hospital from October 2021 to October 2022 were selected. Equipment management was conducted using conventional methods for risk management from October 2021 to October 2022,while equipment management from November 2022 to November 2023 adopted a risk classification model based on logistic regression was used to conduct risk management. A total of 204 logs of equipment application of the two kinds of management methods were selected,and each method selected 102 logs. The error rate of clinical operation,the occurrence of equipment failure,the timeliness score of risk management of equipment and the rate of hidden danger of safety risk of equipment were compared between the two kinds of management methods. Results:The number of error use of equipment,operational error and man-made mistake were respectively 3,2 and 2 in 102 logs that were managed by using risk classification model,and the incidence rates of them were respectively 2.94％,1.97％ and 1.97％,which were lower than those by using conventional management method,and the differences were statistically significant (x2=11.613,13.058,14.191,P<0.05). The average failure rate,self-maintenance rate of failure and average scrap rate of the medical equipment of the department of cardiovascular medicine of the management with risk classification model were respectively (0.56±0.22)％,(0.79±0.19)％ and (0.90±0.22)％,all of which were lower than those of conventional management method,and the differences were statistically significant (x2=16.971,15.531,15.809,P<0.05). The risk early warning,risk identification,and the average timeliness scores of risk prevention and control of using the management with risk classification model were respectively (90.29±8.69),(89.69±7.69),and (94.58±6.69),all of which were higher than those of using the management with conventional management method,and the differences were statistically significant (t=13.325,11.003,11.676,P<0.05). The number of mechanical injury,associated infection,and abnormal operation of equipment were respectively 1,1 and 2 in 31 medical equipment that were managed by risk classification model,and the incidence rates of them were respectively 3.23％,3.23％ and 6.45％,all of which were lower than those of conventional management methods,and the differences were statistical significances (x2=5.167,7.631,5.413,P<0.05),respectively. Conclusion:The application of a risk classification model based on logistic regression for medical equipment of the department of cardiovascular medicine can improve the utilization rate of equipment,and reduce the potential risk hidden danger of safety,and enhance the operation quality of equipment.

Objective To investigate the distribution and antimicrobial resistance profiles of common pathogens isolated from cerebrospinal fluid(CSF)in CHINET program from 2015 to 2021.Methods The bacterial strains isolated from CSF were identified in accordance with clinical microbiology practice standards.Antimicrobial susceptibility test was conducted using Kirby-Bauer method and automated systems per the unified CHINET protocol.Results A total of 14 014 bacterial strains were isolated from CSF samples from 2015 to 2021,including the strains isolated from inpatients(95.3％)and from outpatient and emergency care patients(4.7％).Overall,19.6％of the isolates were from children and 80.4％were from adults.Gram-positive and Gram-negative bacteria accounted for 68.0％and 32.0％,respectively.Coagulase negative Staphylococcus accounted for 73.0％of the total Gram-positive bacterial isolates.The prevalence of MRSA was 38.2％in children and 45.6％in adults.The prevalence of MRCNS was 67.6％in adults and 69.5％in children.A small number of vancomycin-resistant Enterococcus faecium(2.2％)and linezolid-resistant Enterococcus faecalis(3.1％)were isolated from adult patients.The resistance rates of Escherichia coli and Klebsiella pneumoniae to ceftriaxone were 52.2％and 76.4％in children,70.5％and 63.5％in adults.The prevalence of carbapenem-resistant E.coli and K.pneumoniae(CRKP)was 1.3％and 47.7％in children,6.4％and 47.9％in adults.The prevalence of carbapenem-resistant Acinetobacter baumannii(CRAB)and Pseudomonas aeruginosa(CRPA)was 74.0％and 37.1％in children,81.7％and 39.9％in adults.Conclusions The data derived from antimicrobial resistance surveillance are crucial for clinicians to make evidence-based decisions regarding antibiotic therapy.Attention should be paid to the Gram-negative bacteria,especially CRKP and CRAB in central nervous system(CNS)infections.Ongoing antimicrobial resistance surveillance is helpful for optimizing antibiotic use in CNS infections.

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 investigate the distribution and antimicrobial resistance profiles of common pathogens isolated from cerebrospinal fluid(CSF)in CHINET program from 2015 to 2021.Methods The bacterial strains isolated from CSF were identified in accordance with clinical microbiology practice standards.Antimicrobial susceptibility test was conducted using Kirby-Bauer method and automated systems per the unified CHINET protocol.Results A total of 14 014 bacterial strains were isolated from CSF samples from 2015 to 2021,including the strains isolated from inpatients(95.3％)and from outpatient and emergency care patients(4.7％).Overall,19.6％of the isolates were from children and 80.4％were from adults.Gram-positive and Gram-negative bacteria accounted for 68.0％and 32.0％,respectively.Coagulase negative Staphylococcus accounted for 73.0％of the total Gram-positive bacterial isolates.The prevalence of MRSA was 38.2％in children and 45.6％in adults.The prevalence of MRCNS was 67.6％in adults and 69.5％in children.A small number of vancomycin-resistant Enterococcus faecium(2.2％)and linezolid-resistant Enterococcus faecalis(3.1％)were isolated from adult patients.The resistance rates of Escherichia coli and Klebsiella pneumoniae to ceftriaxone were 52.2％and 76.4％in children,70.5％and 63.5％in adults.The prevalence of carbapenem-resistant E.coli and K.pneumoniae(CRKP)was 1.3％and 47.7％in children,6.4％and 47.9％in adults.The prevalence of carbapenem-resistant Acinetobacter baumannii(CRAB)and Pseudomonas aeruginosa(CRPA)was 74.0％and 37.1％in children,81.7％and 39.9％in adults.Conclusions The data derived from antimicrobial resistance surveillance are crucial for clinicians to make evidence-based decisions regarding antibiotic therapy.Attention should be paid to the Gram-negative bacteria,especially CRKP and CRAB in central nervous system(CNS)infections.Ongoing antimicrobial resistance surveillance is helpful for optimizing antibiotic use in CNS infections.

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 explore the role and possible mechanism of ACOT11 in renal fibrosis model mice.Methods:A mouse model of renal fibrosis was established by unilateral ureteral obstruction(UUO)(Sham group and UUO7 group),and the expression of ACOT11 in the kidneys of UUO induced fibrosis mouse models was detected by protein immunoblotting and real-time fluorescence quantitative PCR(qRT-PCR).Subsequently,immunohistochemistry,Masson staining,H&E staining,PAS staining,and other experimental methods were used to detect the expression levels of fibrosis biomarkers fibronectin,α-SMA,and COL-1 in the kidneys of control and experimental group mice.In addition,by constructing ACOT11 gene knockout model mice and using the gene knockout model mice to construct a renal fibrosis model,the expression levels of fibrosis biomarkers such as fibronectin,α-SMA,COL-1,as well as fibrosis mechanism pathway related indicators TGF-β and Smad2 in the kidneys of each group of mice were further detected.Results:The results of WB and qRT-PCR experiments showed that the expression of ACOT11 in the kidney tissue of UUO model mice was significantly reduced compared to the Sham group.After knocking out the ACOT11 gene,H&E staining,PAS staining,and Masson staining showed that pathological inflammatory reactions such as abnormal glomerular and tubular structures,inflammatory cell infiltration and interstitial fibrous tissue proliferation in mice were significantly aggravated compared to the control group,and the expression of fibrosis markers Fibronectin,α-SMA,and COL-1 was significantly higher than that of the control group.Conclusion:ACOT11 plays a protective role in mice with unilateral ureteral obstruction model.After ACOT11 gene knockout,the fibrosis biomarkers of the mouse kidney increases and the degree of fibrosis worsens.

Objective:To construct a risk classification model based on logistic regression for medical equipment,so as to improve the application efficiency of medical equipment in the department of cardiovascular medicine. Methods:The logistic regression algorithm was used to construct the risk grade of adverse event of medical equipment of the department of cardiovascular medicine,and data collation and analysis were used to realize monitoring and management control for medical equipment. The 31 sets used medical equipment in the Department of Cardiovascular equipment of Xi'an No.3 Hospital from October 2021 to October 2022 were selected. Equipment management was conducted using conventional methods for risk management from October 2021 to October 2022,while equipment management from November 2022 to November 2023 adopted a risk classification model based on logistic regression was used to conduct risk management. A total of 204 logs of equipment application of the two kinds of management methods were selected,and each method selected 102 logs. The error rate of clinical operation,the occurrence of equipment failure,the timeliness score of risk management of equipment and the rate of hidden danger of safety risk of equipment were compared between the two kinds of management methods. Results:The number of error use of equipment,operational error and man-made mistake were respectively 3,2 and 2 in 102 logs that were managed by using risk classification model,and the incidence rates of them were respectively 2.94％,1.97％ and 1.97％,which were lower than those by using conventional management method,and the differences were statistically significant (x2=11.613,13.058,14.191,P<0.05). The average failure rate,self-maintenance rate of failure and average scrap rate of the medical equipment of the department of cardiovascular medicine of the management with risk classification model were respectively (0.56±0.22)％,(0.79±0.19)％ and (0.90±0.22)％,all of which were lower than those of conventional management method,and the differences were statistically significant (x2=16.971,15.531,15.809,P<0.05). The risk early warning,risk identification,and the average timeliness scores of risk prevention and control of using the management with risk classification model were respectively (90.29±8.69),(89.69±7.69),and (94.58±6.69),all of which were higher than those of using the management with conventional management method,and the differences were statistically significant (t=13.325,11.003,11.676,P<0.05). The number of mechanical injury,associated infection,and abnormal operation of equipment were respectively 1,1 and 2 in 31 medical equipment that were managed by risk classification model,and the incidence rates of them were respectively 3.23％,3.23％ and 6.45％,all of which were lower than those of conventional management methods,and the differences were statistical significances (x2=5.167,7.631,5.413,P<0.05),respectively. Conclusion:The application of a risk classification model based on logistic regression for medical equipment of the department of cardiovascular medicine can improve the utilization rate of equipment,and reduce the potential risk hidden danger of safety,and enhance the operation quality of equipment.

Objective:Varicocele(VC)induces male infertility by mediating changes in the testicular microenvironment,in which testicular hypoxia and high-pressure are important pathological conditions.This study aims to compare the mouse spermatogenesis(GC-2spd)cells and Sertoli(TM4)cells of mouse testis after hypoxic modeling and hypoxic and high-pressure combined modeling,and to explore the feasibility of establishing a hypoxic and high-pressure combined cell model.Methods:On the basis of cell hypoxia induced by CoCl2,the complex model of testicular cell hypoxia and high pressure was constructed by changing the osmotic pressure of GC-2 and TM4 cell medium with a high concentration of NaCl solution.After selecting the intervention concentration of CoCl2 by MTT test and detecting the expression level of HIF-1α for the determination of the optimal osmotic pressure conditions of the cell model,the cells were divided into normal group,hypoxia model group and composite model group.And the levels of OS,programmed cell death,inflammatory factors,and the expression levels of pyroptosis-related proteins were compared between the normal group and the groups with different modeling methods.Results:The optimal intervention concentration of CoCl2 in GC-2 and TM4 cells was 150 and 250μmol/L,respectively,and the expression of HIF-1α was the highest in both cells under osmotic pressure of 500 mOsmol/kg(P＜0.05).Compared with the normal group,the SOD levels of GC-2 and TM4 cells decreased(all P＜0.05),CAT level decreased(all P＜0.05),and MDA level increased(all P＜0.01),and the OS level of GC-2 and TM4 cells was more obvious than that of the hy-poxia model group(all P＜0.05).Compared with the normal group,apoptosis occurred in GC-2 and TM4 cells after composite model-ing(all P＜0.05).Compared with the normal group,the mRNA expressions of IL-1β,IL-18,TNF-α and COX-2 in GC-2 and TM4 cells significantly increased(P＜0.01)and higher than those in hypoxia model group(P＜0.05)and induced pyroptosis(P＜0.01).The expression level of GSDMD increased(P＜0.05).Conclusion:The cell model with hypoxia and high pressure com-bined modeling can not only induce oxidative stress and apoptosis of cells better than that with hypoxia alone,but also further cause in-flammatory response damage and pyroptosis,which simulates the changes of testis microenvironment mediated by hypoxia and high pressure combined conditions in VC.This cell model can be used for studying the pathogenesis of VC-associated male infertility,evalu-ating drug efficacy,and exploring pharmacological mechanisms.

Objective:To investigate the role of aging-related genes(ARGs)in the prognosis of lung squamous cell carcinoma(LUSC)and establish a novel prognostic prediction model.Methods:Transcriptomic data and clinical information of LUSC patients were obtained from TCGA,combined with ARGs from Aging Atlas.Key genes were screened through differential expression analysis,survival analysis,and Cox regression to construct a prognostic model.Model performance was validated in clinical subgroups,and biological pathway enrichment(GSEA)and immune microenvironment analyses were performed.Results:Five ARGs(ERFFI1,MDH1,SENP2,SNAI1,TP63)were identified to build the model.Significant survival differences were observed between high-and low-risk groups(P＜0.001),with 1-,3-,and 5-year AUC values of 0.610,0.668,and 0.665,respectively.The risk score was an independent prognostic factor(HR=11.261,95％CI:3.654-34.701,P＜0.001)and showed predictive efficacy in both early-stage(Ⅰ-Ⅱ,P=0.022)and advanced-stage(Ⅲ-Ⅳ,P=0.004)patients.GSEA revealed significant enrichment of Alzheimer's disease(P=0.003)and cell adhesion pathways(P=0.008)in high-risk groups.SNAI1 correlated positively with M1/M2 macrophage infiltration(r=0.45,P＜0.001),MDH1 associated with 12 immune cell types(|r|＞0.3,P＜0.05),and the risk score linked to CD8+T cells(r=0.38)and M2 macrophages(r=0.32)(both P＜0.001).Twenty-three immune checkpoints(e.g.,TNFRSF14,CD200R1)were differentially expressed between groups and survival-related(P＜0.05).High-risk patients exhibited elevated TIDE scores(P＜0.001),indicating enhanced immune suppression.Conclusion:This model provides a novel tool for LUSC prognosis assessment,but further clinical validation is required.

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.