ABSTRACT
@#Abstract: Objective To understand the distribution and drug resistance of pathogenic bacteria of bloodstream infection in Fujian Province, and to provide reference for clinical rational drug use. Methods Bacteria identification and antimicrobial susceptibility test were carried out on the isolated strains of blood culture samples in 31 medical institutions in Fujian Province according to the unified plan. The data were statistically analyzed by WHONET 5.6 software according to the Clinical and Laboratory Standards Institute (CLSI) drug sensitivity executive standard in 2021. Results After removing the duplicate strains, 10 356 strains of bacteria were collected, including 3 668 strains of Gram-positive bacteria (35.4%) and 6 688 strains of Gram-negative bacteria (64.6%). The top 5 bacteria are Escherichia coli, Klebsiella pneumoniae, coagulase negative Staphylococcus, Staphylococcus aureus and Pseudomonas aeruginosa. In this study, the detection rate of methicillin-resistant Staphylococcus aureus (MRSA) was 24.5%, and the detection rate of methicillin-resistant coagulase-negative Staphylococcus aureus (MRCNS) was 76.8%. Vancomycin, teicoplanin and linezolid resistant staphylococci were not found. The detection rate of penicillin resistant Streptococcus pneumoniae was 3.2%. Vancomycin resistant Enterococcus faecalis and Enterococcus faecium were 0.8% and 1.1% respectively. The resistance rate of Escherichia coli to carbapenems was 0.8%, and the resistance rate to levofloxacin was 41.9%; the resistance rate of Klebsiella pneumoniae to carbapenems was 15.0%. The resistance rate of Acinetobacter baumannii to carbapenems was 45.1%; the detection rate of Pseudomonas aeruginosa was only 14.2%, and it maintained a high sensitivity to most drugs. Conclusions Most bloodstream infections in Fujian Province are caused by Escherichia coli, Klebsiella pneumoniae and Staphylococcus. The drug resistance of some strains is not optimistic, so we should continue to strengthen the clinical application management of antibiotics and use them correctly and reasonably. Keywords: Bloodstream infection; bacteria; antibiotics; drug resistance monitoring