Antimicrobial Susceptibility of Neisseria gonorrhoeae Isolates From Peru, 2018 and 2019

SEXUALLY TRANSMITTED DISEASES(2022)

引用 3|浏览6
暂无评分
摘要
Background Currently, in Latin America, including Peru, the treatment of gonorrhea is still empiric and information regarding antimicrobial resistance is scarce in some countries because of the limited resources, which can contribute to the rising rates of reported multidrug-resistant gonococcal strains. In that context, it is mandatory to continuously monitor and report antimicrobial resistance in N. gonorrhoeae to update treatment recommendations. Methods This descriptive study analyzed genital and anal samples from symptomatic patients who attended 15 sexually transmitted infections health facilities from 8 different regions in Peru during the years 2018 to 2019 within the framework of Sentinel Surveillance. After establishing the presumptive diagnosis, the isolates were sent to the Laboratory of Sexually Transmitted Bacteria of the National Institute of Health of Peru in Lima where the species were confirmed (N = 165) and susceptibility profiles were determined. Results Among the 165 isolates, 95.2% corresponded to male patients, between 18 and 22 years of age (40.6%), half reported having a sexual partner and being heterosexual. Clinically, 89.7% manifested the presence of urethral exudate. Microbiology showed 95.2% of the isolates resistant to ciprofloxacin and 9.1% non-susceptible to azithromycin. Reduced susceptibility to ceftriaxone and cefixime was observed in 1.2% and 3.6% of the isolates respectively. All strains tested were susceptible to spectinomycin. Conclusions This study demonstrated that in Peru, fluoroquinolones should not be recommended or used in N. gonorrhoeae infections due to the high percentage of resistant strains. In addition, nationwide access to gonococcal resistance testing, molecular diagnostics and antimicrobial stewardship should be implemented to control the spread of gonococcal antimicrobial resistance.
更多
查看译文
关键词
neisseria gonorrhoeae,peru
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要