Department of Analytical Chemistry, Faculty of Pharmacy, Aden University, Aden, Yemen.
Section of Clinical Pharmacy, Faculty of Pharmacy, Aden University, Aden, Yemen.
Biomed Res Int. 2020 Apr 22;2020:1810290. doi: 10.1155/2020/1810290. eCollection 2020.
There is a rapid deterioration in the effectiveness of antibiotics due to the global prevalence of bacterial antimicrobial resistance (AMR). AMR can cause an increase in mortality and morbidity due to treatment failures and a lack of effective therapy.
The purpose of this study was to evaluate the AMR pattern of different bacterial isolates at hospitals and laboratories.
A cross-sectional study from March 2019 to June 2019 was conducted at different governmental and private hospitals and laboratories in Aden, Yemen. Age, sex, specimen type, bacterial isolates, and antibiotic susceptibility pattern were collected using a data extraction sheet. Descriptive statistics were used for data analysis.
Data were recorded for 412 patients from whom 20 clinical specimens were collected and analyzed. The most common bacteria isolated were spp. ( = 172, 41.74%), ( = 164, 39.80%), spp. ( = 37, 8.98%), and ( = 18, 4.36%); other bacteria were less common. The overall bacterial resistance was highest against the combination of sulfamethoxazole with trimethoprim (73.12%), followed by amoxicillin and clavulanate (65.19%). The cephalosporin antibiotics also showed high resistance rates. The study also showed moderate bacterial resistance to gentamycin (32.65%), azithromycin (29.92%), cefoxitin (62.65%), and ciprofloxacin (25.60%). Ertapenem (16.67%) and levofloxacin (15.56%) had the lowest resistance rates.
There was a high percentage of bacteria resistant to several antibiotics. Antibiotic susceptibility testing is a prerequisite guide for the selection of appropriate antibiotic therapy for bacterial infections.
由于全球范围内细菌对抗生素的耐药性(AMR)的流行,抗生素的有效性迅速下降。AMR 可导致死亡率和发病率增加,原因是治疗失败和缺乏有效治疗。
本研究旨在评估医院和实验室中不同细菌分离株的 AMR 模式。
2019 年 3 月至 6 月,在也门亚丁的不同政府和私人医院和实验室进行了一项横断面研究。使用数据提取表收集年龄、性别、标本类型、细菌分离株和抗生素药敏模式。采用描述性统计方法进行数据分析。
记录了 412 名患者的数据,其中 20 份临床标本进行了分析。分离出的最常见细菌为 spp.(=172,41.74%)、 (=164,39.80%)、 spp.(=37,8.98%)和 (=18,4.36%);其他细菌较少见。总的细菌耐药率最高的是磺胺甲噁唑与甲氧苄啶的组合(73.12%),其次是阿莫西林克拉维酸(65.19%)。头孢菌素类抗生素也显示出较高的耐药率。研究还显示,细菌对庆大霉素(32.65%)、阿奇霉素(29.92%)、头孢西丁(62.65%)和环丙沙星(25.60%)中度耐药。厄他培南(16.67%)和左氧氟沙星(15.56%)的耐药率最低。
有相当比例的细菌对几种抗生素具有耐药性。抗生素药敏试验是选择细菌感染适当抗生素治疗的前提指南。