An Analysis of Distribution and Drug Resistance of Common Bacteria in Clinical Sputum Samples from a Cardiovascular Hospital During the Period 2018-2023
Background The utilization of clinical broad-spectrum antibiotics has led to a gradual increase in bacterial drug resistance,accompanied by the emergence of increasing complexity of types and mechanisms of resistance.Objective This study aimed to analyze the distribution and drug resistance patterns of bacteria in sputum samples obtained from a cardiovascular hospital in China,with the objective of providing enhanced guidance for clinical practice.Methods Sputum samples collected from patients at Tianjin Taida International Cardiovascular Hospital between January 1,2018 and October 31,2023 were subjected to bacterial identification and drug sensitivity testing.The obtained data was analyzed using WHONET5.4 software.Results Over a period of six years,3 970 strains were isolated from sputum samples,with Gram-negative bacilli(G-)accounting for the majority of 74.71％(2 966 strains),followed by Klebsiella pneumoniae subspecies of 29.90％(1187 strains),Pseudomonas aeruginosa of 10.93％(434 strains)and Acinetobacter Pbaumannii of 924％(367 strains).Gram-positive cocci(G+)accounted for 14.41％of the total isolates,with Staphylococcus aureus being the most prevalent species of 8.29％(329 isolates),followed by Streptococcus pneumoniae of 6.12％(243 isolates)and Candida albicans of 10.88％.The resistance rate of ampicillin in Gram-negative bacteria was notably high,while the resistance rates to other antibiotics exhibited an increasing pattern with various degrees.No vancomycin-resistant strains of Staphylococcus aureus or Streptococcus pneumoniae were detected.The subspecies of Staphylococcus aureus exhibited a high level of resistance(90.9％)to penicillin G.Additionally,more than 50％of the tested strains of Streptococcus pneumoniae demonstrated resistance to cotrimoxazole and tetracycline.Conclusion The analysis of bacterial spectrum and drug resistance monitoring enables a comprehensive understanding of the distribution dynamics and changes in antibiotic resistance among bacteria.Staphylococcus aureus and Streptococcus pneumoniae are predominant pathogenic bacteria within the infected population,while Klebsiella pneumoniae and Pseudomonas aeruginosa subspecies exhibit high levels of antibiotic resistance.The present study not only provides clinicians with a solid foundation for rational and precise antibiotic utilization,but also offers valuable guidance for the development of prevention and treatment strategies.
NETL
NSTL
万方数据
