COVID-19患者合并症及经验性抗生素使用与重复感染的关系

Pub Date : 2023-08-01 DOI:10.29271/jcpsp.2023.08.852
Filiz Orak, Selcuk Nazik, Kezban Tulay Yalcinkaya, Murat Aral, Selma Ates, Adem Doganer
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引用次数: 0

摘要

目的:确定新冠肺炎住院患者中导致重复感染的微生物,并比较有无继发感染的新冠肺炎患者,评估经验性抗生素治疗方案和合并症对重复感染的影响。研究设计:描述性研究。研究地点和时间:2020年3月至7月,土耳其Kahramanmaras Sutcu伊玛目大学微生物学系。方法:本研究采用放射学或定量RT-PCR检测结果诊断为COVID-19疾病的患者。从医疗记录中收集培养结果、人口统计学特征、临床变量和治疗方案。结果:临床随访178例(101例患者中24例)培养物中48例(26.96%)发生重复感染。血流感染25例(52.08%),泌尿道感染11例(22.9%),呼吸道感染10例(20.8%),软组织感染2例(4.16%)。继发感染病原为大肠杆菌11例(22.9%),鲍曼假单胞菌8例(16.7%),人型假单胞菌7例(14.6%),表皮假单胞菌6例(12.5%),肺炎克雷伯菌4例(8.3%),白色假单胞菌2例(4.1%),其他细菌和真菌10例(20.8%)。哌拉西林/他唑巴坦组、莫西沙星和阿奇霉素组从入院到检测微生物生长的中位时间最长。二次微生物检测延迟,主要是由于经验性使用莫西沙星、阿奇霉素、哌拉西林/他唑巴坦。结论:患者的人口学特征、合并症和抗生素使用与继发感染无直接关系。此外,阿奇霉素和莫西沙星与哌拉西林/他唑巴坦联合使用的经验似乎可以延缓重复感染的发生。关键词:重复感染;COVID-19;合并症
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The Relationship of Comorbid Diseases and Empirical Antibiotic Usage with Superinfection in COVID-19 Patients.

Objective: To identify the microorganisms responsible for superinfections in patients admitted with COVID-19 and evaluate the impact of empirical antibiotic regimen and comorbid disease on superinfections comparing COVID-19 patients with and without secondary infection.

Study design: A descriptive study. Place and Duration of the Study: Department of Microbiology, Kahramanmaras Sutcu Imam University, Kahramanmaras, Turkiye, from March to July 2020.

Methodology: This study was conducted with patients diagnosed with COVID-19 disease based on radiological or quantitative RT-PCR test results. Culture results, demographic characteristics, clinical variables, and therapeutic regimen were collected from medical records.

Results: Superinfection developed in 48 (26.96%) of 178 cultures (24 of 101 patients) followed up in the COVID-19 clinics. Infections were determined as 25 (52.08%) bloodstream, 11 (22.9%) urinary tract, 10 (20.8%) respiratory tract and 2 (4.16%) soft tissue infections, respectively. Secondary infectious agents were E.coli in 11 (22.9%), A.baumannii in 8 (16.7%), S.homminis in 7 (14.6%), S.epidermidis in 6 (12.5%), K.pneumoniae in 4 (8.3%), C.albicans in 2 (4.1%), and other bacterial and fungal agents in 10 (20.8%). The median range from admission to the hospital to detecting microorganism growth was the longest with piperacillin/tazobactam with moxifloxacin and azithromycin. Secondary microorganism detection was delayed, mostly due to the empirical use of moxifloxacin, azithromycin, and piperacillin/tazobactam.

Conclusion: Demographic characteristics, comorbidity and antibiotic use of patients were not directly related to secondary infections. In addition, the empirical use of azithromycin and moxifloxacin with piperacillin/tazobactam appeared to delay the development of superinfection.

Key words: Superinfection, COVID-19, Comorbidity.

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