COVID-19肺炎患者呼吸道标本继发细菌及耐药性分析

Oya Akkaya, Ayşenur Uğur, Habibe Övet, Feyza Alp, Mustafa Önder Gönen
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摘要

摘要目的:了解2019冠状病毒病(COVID-19)确诊患者呼吸道分泌物中哪些细菌是病原体及抗生素耐药率,并与疫情前进行比较。方法:本研究是一项回顾性研究,比较大流行前2019年1月至2019年12月成人临床服务和重症监护病房支气管肺泡灌洗液(BAL)和气管内吸入液(ETA)中生长的细菌及其抗生素耐药性特征,以及大流行期间2020年1月至2020年12月的结果。结果:2019年共检测培养结果900份;检出鲍曼不动杆菌36%,肺炎克雷伯菌23%,铜绿假单胞菌14%,金黄色葡萄球菌8%。在2020年大流行期间,检查了660个培养结果,分别在43%、23%、16%和5%中检测到相同的细菌。发现肺炎克雷伯菌的第三代头孢菌素耐药性,鲍曼奈菌对替加环素、庆大霉素、托布霉素的耐药性以及铜绿假单胞菌对头孢他啶的耐药性在大流行期间与大流行前相比显著增加。结论:2019冠状病毒病住院患者中继发细菌多为耐多药革兰氏阴性菌。因此,在COVID-19患者中,应了解当地细菌和抗生素耐药情况,选择适当的经验性治疗。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Secondary Bacterial Agents and Antibiotic Resistance Profiles in Respiratory Tract Specimens of Patients with COVID-19 Pneumonia
ABSTRACT Objective: The aim of the study is to determine which bacteria are the causative agents and the antibiotic resistance rates in the respiratory tract secretions of patients who have diagnosed with COVID-19 and to compare these results with before the pandemic. Method: This study is a retrospective study comparing bacteria grown in bronchoalveolar lavage (BAL) fluid and endotracheal aspirate(ETA) fluids coming from adult clinical services and intensive care units and their antibiotic resistance profiles between January 2019 and December 2019 before the pandemic, with the results between January 2020 and December 2020 during the pandemic period. Results: A total of 900 culture results were examined in 2019; Acinetobacter baumannii was detected in 36%, Klebsiella pneumoniae in 23%, Pseudomonas aeruginosa in 14%, and Staphylococcus aureus in 8%. In 2020, during the pandemic, 660 culture results were examined, and same bacteria was detected in 43%, 23%,16% and 5%, respectively. K.pneumoniae's 3rd generation cephalosporin resistance, A. baumannii's resistance to tigecycline, gentamycin, tobramycin and P. aeruginosa's resistance to ceftazidime were found to have increased significantly during the pandemic compared to the pre-pandemic period. Conclusion: In hospitalized patients with COVID-19, secondary bacterial agents are mostly multidrug-resistant Gram-negative bacteria. For this reason,in patients with COVID-19 disease, appropriate empirical treatment should be selected by knowing the local bacterial agents and antibiotic resistance profiles.
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