Objective:To analyze the distribution characteristics and drug resistance of common pathogenic bacteria in bloodstream infections in Yongchun County Hospital,and to provide a basis for the rational use of antimicrobial drugs in the clinic and the development of its effective management program.Methods:Blood culture-positive cases diagnosed as bloodstream infections in Yongchun County Hospital from 2020 to 2022 were selected for retrospective analysis.Strain identification and drug sensitivity tests were carried out by applying the BACTECTMFX automatic blood culturometer and M50 automatic microbial identifier of Becton Dickinson Company,USA.Results:From 2020 to 2022,a total of 13157 blood culture samples were collected and sent for testing,and a total of 266 pathogenic strains were isolated from the positive samples,with a positive detection rate of 2.02％.The positive rate of blood culture in 2022 was compared with that in 2021,P＜0.05,indicating a statistically significant difference.Positive samples isolated 166 Gram-negative bacteria with a ratio of 43.77％and 97 Gram-positive bacteria with a ratio of36.60％.The top bacteria were Escherichia coli,Klebsiella pneumoniae,Pseudomonas aeruginosa and Staphylococcus aureus.The drug resistance rates of Escherichia coli and Klebsiella pneumoniae to ampicillin and cefazolin were＞50％;The drug resistance rates of Pseudomonas aeruginosa to pipemidic acid,piperacillin/tazobactam,and gentamicin reached＞40％;The drug resistance rates of Staphylococcus aureus and coagulase-negative staphylococci to ampicillin and penicillin were＞90％;And no vancomycin-resistant strains were detected.Conclusion:The highest percentage of Gram-negative bacteria was detected as bloodstream infection pathogens in this hospital,and its main pathogens,Escherichia coli and Klebsiella pneumoniae,had high drug resistance rates to ampicillin and cefazolin.By statistically analyzing the composition ratio of bloodstream infection pathogenic bacteria and studying their distribution characteristics and drug resistance,it can provide a theoretical basis for timely and accurate empirical treatment in the early clinical stage.
维普
万方数据
