Study on the distribution of pathogenic bacteria in blood culture of patients with bloodstream infection
Objective To explore the distribution and drug resistance of pathogenic bacteria in blood culture of patients with bloodstream infection,to provide reference for rational drug use in clinical practice.Methods A total of 288 positive blood culture specimens from outpatient,emergency and inpatient patients at Guangning County People's Hospital from January 2019 to December 2020 were retrospectively analyzed.Strain identification and drug sensitivity tests were used to analyze the distribution and drug resistance of blood culture pathogens in patients with bloodstream infections.Results A total of 291 strains of pathogenic bacteria were isolated from 288 specimens.Blood culture pathogenic bacteria were mainly distributed in the infection/oncology department(45.02％),respiratory medicine department(14.09％),hemodialysis department(8.59％),intensive care department(6.53％)and urology department(4.47％).Among the 291 strains of pathogenic bacteria,Escherichia coli(41.58％),Klebsiella pneumoniae(11.68％)and Staphylococcus aureus(11.00％)were the main ones.Escherichia coli showed strong resistance to cefuroxime axetil,cefuroxime sodium,ceftriaxone,etc.,Klebsiella pneumoniae showed strong resistance to compound neomycin A,ceftriaxone,ceftazidime axetil and cefuroxime sodium,etc.,Staphylococcus aureus showed strong resistance to piperacillin,penicillin G,erythromycin,etc.Conclusion The main pathogenic bacteria in blood culture of patients with bloodstream infection were Escherichia coli,Klebsiella pneumoniae and Staphylococcus aureus,which were mainly distributed in infection/oncology department,respiratory medicine department,hemodialysis department,intensive care department and urology department.Different pathogenic bacteria had different sensitivities to antibiotics,and clinical monitoring should be strengthened and select appropriate antibiotics for treatment based on drug resistance,in order to achieve the goal of controlling infection.
万方数据
维普
