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沙特阿拉伯麦加一家三级医疗医院11年的抗菌药物耐药模式

Antimicrobial Resistance Pattern of : An 11-Year Experience in a Tertiary Care Hospital in Makkah, Saudi Arabia.

作者信息

Momenah Aiman M, Bakri Rafat Ahmed, Jalal Naif A, Ashgar Sami S, Felemban Rakan Fahad, Bantun Farkad, Hariri Sumyya H, Barhameen Abeer A, Faidah Hani, Al-Said Hamdi M

机构信息

Department of Microbiology, Faculty of Medicine, Umm Al-Qura University, Makkah, Saudi Arabia.

University Medical Center, Umm Al-Qura University, Makkah, Saudi Arabia.

出版信息

Infect Drug Resist. 2023 Jun 26;16:4113-4122. doi: 10.2147/IDR.S409726. eCollection 2023.

Abstract

PURPOSE

() is a common causative pathogen in healthcare settings and displays increasing levels of resistance to common antimicrobial drugs. Its capacity to resist has been reported in multiple locations across the world. This study evaluates current levels of antibiotic resistance and seeks to understand antibiotic resistance patterns in the context of the clinical isolates of .

METHODS

All clinical isolates were cultured at 37 °C for 24 h in different media: blood sheep agar, McConkey agar, and cystine-lactose-electrolyte-deficient agar (CLED), bacterial identification and antibiotic susceptibility patterns were determined using the Vitek-2 (bioMérieux) automated system.

RESULTS

In total, there were 61,029 patient specimens, of which 5534 were identified as non-duplicated clinical isolates, most being from males aged over 60 years. The research findings revealed that the maximum antibiotic resistance associated with isolates was found in colistin (97%), which was followed by piperacillin/tazobactam (75.8%). The maximum resistance rates in isolates were found in relation to cefepime (42.7%,) which was followed by ciprofloxacin (34.3%).

CONCLUSION

The antibiotic resistance rate during the first six years of the research period was notably higher than in the last years, due to the application of infection control protocols and strict policies to control antibiotic prescriptions in all Saudi hospitals.

摘要

目的

(病原体名称未给出)是医疗机构中常见的致病病原体,对常见抗菌药物的耐药性呈上升趋势。其耐药能力在世界多个地区都有报道。本研究评估了当前的抗生素耐药水平,并试图了解该病原体临床分离株背景下的抗生素耐药模式。

方法

所有临床分离株在37℃下于不同培养基中培养24小时:血羊琼脂、麦康凯琼脂和胱氨酸-乳糖-电解质缺乏琼脂(CLED),使用Vitek-2(生物梅里埃)自动化系统确定细菌鉴定和抗生素敏感性模式。

结果

总共61029份患者标本,其中5534份被鉴定为非重复的(病原体名称未给出)临床分离株,大多数来自60岁以上男性。研究结果显示,(病原体名称未给出)分离株相关的最大抗生素耐药率出现在黏菌素(97%),其次是哌拉西林/他唑巴坦(75.8%)。(病原体名称未给出)分离株的最大耐药率出现在头孢吡肟(42.7%),其次是环丙沙星(34.3%)。

结论

由于沙特所有医院都实施了感染控制方案和严格的抗生素处方控制政策,研究期间前六年的抗生素耐药率明显高于后几年。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/871f/10312329/0d03e3d7ebe7/IDR-16-4113-g0001.jpg

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