Distribution and Drug Susceptibility Monitoring of Streptococcus pneumoniae in 220 Hospitals in Henan Province
Objective In Henan province,Streptococcus pneumoniae isolates from 141 secondary hospitals and 79 tertiary hospitals were studied to better understand their medication resistance and distribution patterns.This information will serve as a foundation for clinical anti-infection treatment in hospitals across the board.Methods Collect non-repetitive Streptococcus pneumoniae strains clinically isolated from 2019 to 2021,conduct drug sensitivity tests using automated instruments and the E-test strip method,and interpret the results according to the American Clinical and Laboratory Standardization Institute(CLSI)2022 standard.Data statistical analysis was conducted using Whonet 5.6 and Spss 26.0 software.Results A total of 15 480 strains of Streptococcus pneumoniae were isolated,mainly from sputum(78.1％)and blood(6.7％).Pediatric patients made up the majority of the patient population(40.5％),with winter accounting for the largest percentage(46.1％);no evidence of vancomycin or linezolid-resistant Streptococcus pneumoniae was found;the sensitivity rate to chloramphenicol falls with age,with 32％of strains in cerebrospinal fluid being detected for PSSP and 92％of strains in non-cerebrospinal fluid.The sensitivity rate of strains in secondary hospitals is generally lower than that in tertiary hospitals,and the difference is statistically significant(P＜0.001).Conclusion Streptococcus pneumoniae is mostly detected in sputum samples of pediatric patients in winter.Penicillin and ceftriaxone can still be the first choice for anti-infection treatment in children within the province,and levofloxacin can also be used as an alternative for adults.Penicillin is no longer suitable for anti-infective treatment of meningitis.Hospitals at all levels should enhance their testing capabilities in order to obtain accurate drug sensitivity results.
Streptococcus pneumoniaechildrendrug resistance analysisantibacterial drugsdrug sensitivity in hospitals of different levels
NETL
NSTL
万方数据
