COVID-19时代呼吸道感染的抗生素耐药模式

Md Abdus Sattar, Rajib Biswas, E. Ullah, Mahmud Hassan Arif, M. Karim, Moinuddin A. Chowdhury, Mohammad Abu Sayeed Chowdhury, E. Hoque
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摘要

背景:呼吸道感染(RTI)在我国是一种非常常见的疾病。呼吸道细菌感染在住院患者中引起显著的发病率和死亡率。在我们的卫生保健机构中,缺乏关于呼吸道感染中细菌感染流行率的信息。此外,不明智地使用抗生素往往导致抗生素耐药性,这是一个新出现的问题。本研究的目的是确定冠状病毒病(COVID-19)时代某三级保健教学医院住院RTI患者痰样本中分离的病原体中细菌感染的流行情况和抗生素耐药性模式。材料和方法:在这项横断面研究中,纳入了2021年2月至2021年6月在吉大港医学院附属医院内科诊断为RTI的104例患者。用标准微生物学方法对痰培养分离的细菌进行鉴定。采用纸片扩散法测定耐药情况。结果:104份痰液标本中92例(88.5%)已确定细菌病原学。最常见的细菌是克雷伯菌(45.2%),其次是假单胞菌(17.2%)和不动杆菌(14.4%)。药敏试验中,亚胺培南和美罗培南对克雷伯菌敏感。环丙沙星、左氧氟沙星、亚胺培南、美罗培南和哌拉西林对假单胞菌敏感。不动杆菌对头孢曲松高度耐药。结论:不同微生物的耐药模式不同。因此,正确识别病原菌及其耐药性对于正确选择下呼吸道感染的抗生素治疗至关重要。Jcmcta 2021;32 (2): 8-13
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Antibiotic Resistance Pattern in Respiratory Tract Infection during COVID-19 Era
Background: Respiratory Tract Infection (RTI) is a very common disease in our country. Bacterial infections in the respiratory tract causing significant morbidity andmortality in hospitalized patients. Information on the prevalence of bacterial infection in RTI in our health care settings is lacking. Moreover, the injudicious use of antibiotics often leads to antibiotic resistance which is an emerging problem. The objective of this study was to determine the prevalence of bacterial infections and antibiotic resistance patterns in pathogens isolated from the sputum samples of admitted patients suffering from RTI in a tertiary care teaching hospital in the Coronavirus Disease (COVID-19) era. Materials and methods: In this cross-sectional study 104 patients who were admitted to the Medicine Department of Chittagong Medical College Hospital with a diagnosis of RTI from February 2021 to June 2021 were included. Bacterial isolates from the sputum culture were confirmed by the standard microbiological methods. Antibiotic resistance was determined by using the disk diffusion method. Results: Out of 104 processed sputum samples 92 (88.5%) cases had established bacterial etiology. Klebsiella (45.2%) was the most common organism followed by Pseudomonas (17.2%) and Acinetobacter (14.4%). In antimicrobial susceptibility testing, Imipenem and meropenem were sensitive against Klebsiella. Ciprofloxacin, levofloxacin, imipenem, meropenem and piperacillin were sensitive against Pseudomonas. Acinetobacter was highly resistant to ceftriaxone. Conclusions: The resistance pattern varied for different organisms. Therefore, appropriate identification of the causative organisms and their antibiotic resistance is crucial for the right choice of antibiotic therapy in LRTIs. JCMCTA 2021 ; 32 (2) : 8-13
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