癌症患者合并感染 COVID-19:预测因素和抗菌药耐药性趋势。

IF 1.4 4区 医学 Q4 INFECTIOUS DISEASES
Rasha M Abdel-Hamid, Ahmed Bayoumi, Mona S Abdellateif, Hend A Nooh, Lobna Refaat, Eman Z Kandeel, Safaa S Hassan
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引用次数: 0

摘要

导言:在冠状病毒病 2019(COVID-19)大流行的背景下,本研究调查了 COVID-19 癌症患者细菌感染所面临的多方面挑战。研究重点是临床预测因素、耐药性模式和微生物特征:在 18 个月内,112 名经反转录聚合酶链反应(RT-PCR)证实感染冠状病毒的成年癌症患者被纳入研究。使用 Phoenix 自动化系统对血流和呼吸道样本进行细菌感染评估,以确定细菌种类。体外药敏试验遵循临床实验室标准协会(CLSI)M100-Ed30 指南:结果:25.0%的患者受到细菌感染,包括菌血症(21.4%)和呼吸道感染(8.0%)。多变量分析发现,高血压、年龄小于 60 岁和 COVID-19 临界值是细菌感染的重要预测因素(p 值分别为 0.024、0.029 和 0.039)。大多数患者接受了抗菌治疗(93.8%),包括最后的碳青霉烯类(52.7%)和可乐定(8.9%)。共鉴定出 33 种细菌分离物,继发感染使合并感染率增加了一倍。大肠埃希菌、克雷伯氏菌和金黄色葡萄球菌是最常见的合并感染菌种,而克雷伯氏菌、醋杆菌和假单胞菌则更常与继发感染相关。令人震惊的是,84.8% 的分离菌株显示出高度耐药模式。所有分离出的金黄色葡萄球菌都对甲氧西林耐药,62.5%的革兰氏阴性菌对可乐定完全敏感:结论:COVID-19 患者中高度传播的医院获得性细菌种类占主导地位,耐药性增加,抗生素使用广泛,因此有必要进行严格的感染控制和抗菌药物管理。为 COVID-19 癌症患者量身定制抗菌策略对于有效控制细菌感染和改善患者预后至关重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Bacterial co-infections in cancer patients with COVID-19: predictors and antimicrobial resistance trends.

Introduction: Within the context of the coronavirus disease 2019 (COVID-19) pandemic, this study investigated the multifaceted challenges of bacterial infections in cancer patients with COVID-19. It focuses on clinical predictors, resistance patterns, and microbiological characteristics.

Methodology: Over 18 months, 112 adult cancer patients with coronavirus infection confirmed by reverse transcription polymerase chain reaction (RT-PCR) were enrolled. Bloodstream and respiratory samples were evaluated for bacterial infection using the Phoenix automation system for definitive species identification. In vitro susceptibility testing followed the Clinical Laboratory Standards Institute (CLSI) M100-Ed30 guidelines.

Results: Bacterial infections affected 25.0% of patients, encompassing bacteremia (21.4%) and respiratory tract infections (8.0%). Multivariable analysis identified hypertension, age < 60, and critical COVID-19 as significant predictors for bacterial infections (p-values = 0.024, 0.029, and 0.039, respectively). Most patients received antimicrobial therapy (93.8%), including last-resort carbapenems (52.7%) and colistin (8.9%). Thirty-three bacterial isolates were identified, with secondary infections doubling co-infection rates. Escherichia coli, Klebsiella species, and Staphylococcus aureus were the most common co-infecting species, while Klebsiella, Acinetobacter, and Pseudomonas species were more frequently associated with secondary infections. Alarmingly, 84.8% of isolates displayed high resistance patterns. All isolated S. aureus species were methicillin-resistant, and 62.5% of Gram-negative bacteria were exclusively sensitive to colistin.

Conclusions: The dominance of highly transmissible hospital-acquired bacterial species, with increased resistance and extensive antibiotic use in COVID-19 patients, necessitates strict infection control and antimicrobial stewardship. Developing customized antimicrobial strategies for cancer patients with COVID-19 is crucial to managing bacterial infections effectively and improving patient outcomes.

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来源期刊
CiteScore
3.70
自引率
5.30%
发文量
239
审稿时长
4-8 weeks
期刊介绍: The Journal of Infection in Developing Countries (JIDC) is an international journal, intended for the publication of scientific articles from Developing Countries by scientists from Developing Countries. JIDC is an independent, on-line publication with an international editorial board. JIDC is open access with no cost to view or download articles and reasonable cost for publication of research artcles, making JIDC easily availiable to scientists from resource restricted regions.
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