Prevalence and antimicrobial resistance of bacterial meningitis in China from 2017 to 2021: a multicenter retrospective study
DOI:
https://doi.org/10.3855/jidc.19352Keywords:
bacterial meningitis, children, adults, season, cerebrospinal fluid, pathogenic spectrumAbstract
Introduction: This study aims to investigate the changing epidemiology and antimicrobial susceptibility of bacteria isolated from cerebrospinal fluid (CSF) in the Shandong region.
Methodology: We conducted a retrospective analysis of bacterial distribution and resistance patterns in CSF samples, utilizing data from the SPARSS network and analyzed with WHONET 5.6 software.
Results: A total of 3968 pathogenic bacterial strains were isolated, consisting of 70.6% Gram-positive bacteria, 27.2% Gram-negative bacteria, and 0.2% fungi. The six most commonly detected bacteria were coagulase-negative staphylococcus, Acinetobacter baumannii, Klebsiella pneumoniae, Streptococcus pneumoniae, Escherichia coli, and staphylococcus aureus. Analysis revealed gender and seasonal variations in the distribution of CSF pathogens, with a higher incidence observed in males and during autumn compared to other seasons. The susceptibility profiles of these bacterial species varied significantly, with many exhibiting multidrug resistances. A. baumannii showed a high resistance rate to cephalosporins and carbapenems but was sensitive to tigecycline and polymyxins. For treating multidrug-resistant A. baumannii infections, polymyxin-based combinations with tigecycline or sulbactam are recommended for adults, while tigecycline combined with meropenem is suggested for children. Enterobacteriaceae species were generally sensitive to carbapenems, such as meropenem and other carbapenems that can penetrate the blood-brain barrier can be recommended. Linezolid and vancomycin are the first choice for treating common gram-positive bacterial infections.
Conclusions: The high resistance rates observed among common CSF isolates and their varied distributions across different demographics highlight the necessity for customized treatment strategies.
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Copyright (c) 2024 chunyan zhang, Zheng Li, Mengyuan Wang, Shifu Wang
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