Investigating the Prevalence of Bacterial Infections in Patients with Coronavirus Disease 2019 Hospitalized in Intensive Care Unit and Determining their Antibiotic Resistance Patterns.

Somaye Shiralizadeh, Masoud Azimzadeh, Fariba Keramat, Seyyed Hamid Hashemi, Mohammad Mehdi Majzoobi, Mohammad Reza Arabestani, Farid Azizi Jalilian, Abbas Taher, Salman Khazaei, Mohammad Sina Alikhani, Pezhman Karami, Zahra Rahimi, Zahra Karimi Tabar, Masoud Moghaddam Shakib, Mohammad Yousef Alikhani
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Abstract

Background: COVID-19 patient hospitalization, particularly in intensive care units, exposes them to bacterial and fungi co-infections, which can have very serious consequences, including increased mortality. In addition, antibiotic resistance among pathogens is a hidden threat behind COVID-19.

Methods: In the period from 2020 September to 2021 August, bacterial isolates from COVID-19 patients admitted to the ICU of Sina Hospital in Hamadan, Iran, were collected and identified based on standard biochemical tests. COVID-19 cases were confirmed based on clinical symptoms, computed tomography, and polymerase chain reaction. Antimicrobial susceptibility tests were conducted using disc diffusion and broth microdilution methods.

Results: In total, 207 bacterial isolates were collected, with Klebsiella pneumoniae account-ing for 69 (33.33%) and Acinetobacter baumannii accounting for 59 (28.15%). The frequency and percentage of isolated bacteria were as follows: Alcaligenes species 28 (13.59%), Staphylococcus aureus 18 (8.73%), Pseudomonas aeruginosa 15 (7.28%), Escherichia coli 11 (5.33%), Stenotrophomonas maltophilia 3 (1.45%), Enterococcus species 3 (1.45%), and Serratia species 1 (0.48%). About 95.38% resistance to ceftazidime and cefotaxime and 92.31% resistance to ciprofloxacin and cefepime were found in K. pneumoniae isolates. A. baumannii isolates were 100% resistant to cefotaxime, ceftriaxone, and cefepime. About 22.22% resistance to vancomycin and 66.67% resistance to clindamycin, erythromycin, and cefoxitin were seen in S. aureus isolates.

Conclusion: Knowledge of bacterial co-infections and their antibiotic resistance pattern in COVID-19 patients can help in choosing effective antibiotics for the treatment and prevention of antibiotic resistance.

调查 2019 年在重症监护病房住院的冠状病毒病患的细菌感染率并确定其抗生素耐药性模式。
背景:COVID-19 患者住院期间,尤其是在重症监护病房,会受到细菌和真菌的合并感染,这可能会造成非常严重的后果,包括增加死亡率。此外,病原体对抗生素的耐药性也是 COVID-19 背后隐藏的威胁:方法:在 2020 年 9 月至 2021 年 8 月期间,从伊朗哈马丹市西纳医院重症监护室收治的 COVID-19 患者身上收集细菌分离物,并根据标准生化测试进行鉴定。根据临床症状、计算机断层扫描和聚合酶链反应确认 COVID-19 病例。抗菌药敏感性测试采用盘扩散法和肉汤微量稀释法进行:共收集到 207 株细菌分离物,其中肺炎克雷伯菌 69 株(33.33%),鲍曼不动杆菌 59 株(28.15%)。分离细菌的频率和百分比如下嗜铝杆菌 28 个(13.59%)、金黄色葡萄球菌 18 个(8.73%)、铜绿假单胞菌 15 个(7.28%)、大肠埃希菌 11 个(5.33%)、嗜麦芽血单胞菌 3 个(1.45%)、肠球菌 3 个(1.45%)和沙雷氏菌 1 个(0.48%)。肺炎克雷伯菌对头孢他啶和头孢噻肟的耐药性为 95.38%,对环丙沙星和头孢吡肟的耐药性为 92.31%。鲍曼尼氏菌分离株对头孢他啶、头孢曲松和头孢吡肟的耐药性为 100%。金黄色葡萄球菌分离物对万古霉素的耐药性为 22.22%,对克林霉素、红霉素和头孢西丁的耐药性为 66.67%:了解 COVID-19 患者的细菌合并感染及其抗生素耐药性模式有助于选择有效的抗生素进行治疗和预防抗生素耐药性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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