Yang Ann Fan, Huang Vivian, Samaroo-Campbell Jevon, Augenbraun Michael
Rutgers Robert Wood Johnson Medical School, Rutgers University, New Brunswick, NJ, USA.
Medical School, State University of New York Health Sciences University, New York, NY, USA.
Infect Prev Pract. 2023 Jun 28;5(3):100296. doi: 10.1016/j.infpip.2023.100296. eCollection 2023 Sep.
Multi-drug resistance in the post COVID-19 world is a growing concern. The objective of this study was to describe temporal trends and explore independent risk factors for the isolation of multi-drug resistant (MDR)
This was a retrospective case-control study of patients with isolates recovered from January 2019 to December 2020. MDR was defined as non-susceptibility to at least one agent in three or more anti-pseudomonal antimicrobial categories.
In total, 258 unique isolates were identified. Prolonged hospitalization (<0.001), prior antibiotic use (<0.001), and respiratory sources (<0.001) were strongly associated with the presence of MDR . From 2019 to 2020, there was a decrease in the total number of isolates but a significant increase in the proportion of MDR isolates (=0.015).
Over a period that coincided with the COVID-19 pandemic, there was an increased proportion of MDR isolates from hospitalized patients. Improved identification of patients at risk for MDR could facilitate appropriate empiric antibiotic decisions like dual anti-pseudomonal therapy. The features of the COVID-19 outbreak that had a severe impact on patient care and that may have affected drug resistance in other respiratory pathogens should be explored.
新冠疫情后世界中的多重耐药性问题日益受到关注。本研究的目的是描述时间趋势并探索多重耐药(MDR)菌分离的独立危险因素。
这是一项对2019年1月至2020年12月期间分离出菌株的患者进行的回顾性病例对照研究。MDR被定义为对三种或更多抗假单胞菌抗菌类别中的至少一种药物不敏感。
总共鉴定出258株独特的菌株。住院时间延长(<0.001)、既往使用抗生素(<0.001)和呼吸道来源(<0.001)与MDR菌的存在密切相关。从2019年到2020年,菌株总数有所下降,但MDR菌株的比例显著增加(P = 0.015)。
在与新冠疫情同时期,住院患者中MDR菌株的比例有所增加。更好地识别有MDR风险的患者有助于做出合适的经验性抗生素决策,如双联抗假单胞菌治疗。应探索新冠疫情爆发对患者护理产生严重影响且可能影响其他呼吸道病原体耐药性的特征。