TU Yan-ye, LI Qing-cao, QIU Li-pei, WU Qiao-ping. Cerebrospinal fluid etiology of intracranial infection: Its distribution and drug resistance in Ningbo[J]. Shanghai Journal of Preventive Medicine, 2018, 30(8): 668-672. DOI: 10.19428/j.cnki.sjpm.2018.18432
Citation: TU Yan-ye, LI Qing-cao, QIU Li-pei, WU Qiao-ping. Cerebrospinal fluid etiology of intracranial infection: Its distribution and drug resistance in Ningbo[J]. Shanghai Journal of Preventive Medicine, 2018, 30(8): 668-672. DOI: 10.19428/j.cnki.sjpm.2018.18432

Cerebrospinal fluid etiology of intracranial infection: Its distribution and drug resistance in Ningbo

  • ObjectiveTo investigate the etiological distribution and drug resistance of intracranial infection within cerebrospinal fluid, and to provide reference for clinical medication and prevention.
    MethodsA total of 280 positive cases of cerebrospinal fluid cultures were collected in a hospital of Ningbo from January 2012 to December 2016, and the drug resistance was analyzed by WHONET 5.6 software.
    ResultsAmong the 280 pathogens, 154 strains were Gram-positive bacteria, accounting for 55.0%;119 strains Gram-negative bacteria, accounting for 42.5%;7 strains were fungi, accounting for 2.5%.Gram-positive bacteria were mainly Coagulase-negative Staphylococci(39.3%), Enterococcus(4.3%) and Staphylococcus aureus(2.9%), and no vancomycin, linezolid and tigecycline resistant strains were found.Gram-negative bacteria were mainly Acinetobacter baumannii(25.4%), Escherichia coli(3.6%), Pseudomonas aeruginosa(3.2%) and Burkholderia cepacia(3.2%), and the drug resistance was severe, only more sensitive to cefoperazone/sulbactam, kanamycin and tigecycline; fungus mainly was Cryptococcus neoformans(2.1%), which was sensitive to common antifungal drugs.
    ConclusionThe top seven of the pathogens of intracranial infection in Ningbo are Coagulase-negative staphylococcus, Acinetobacter baumannii, Enterococcus, Escherichia coli, Pseudomonas aeruginosa, Burkholderia cepacia and Staphylococcus aureus.Drug resistance is serious, suggesting that clinical selection should be based on drug susceptibility for rational choice of antibiotics.
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