Polemis Michalis, Mandilara Georgia, Pappa Olga, Argyropoulou Athina, Perivolioti Efstathia, Koudoumnakis Nikolaos, Pournaras Spyros, Vasilakopoulou Alexandra, Vourli Sophia, Katsifa Helen, Karampatakis Theodoros, Papavasiliou Anastasia, Petinaki Efthymia, Xitsas Stylianos, Skoura Lemonia, Protonotariou Efthymia, Mantzana Paraskevi, Gartzonika Konstantina, Priavali Efthalia, Kallinteri Amalia, Giannopoulou Panagiota, Charalampaki Nikoletta, Memezas Meletis, Calina Oana Zervaki, Papadogianni Marina, Panopoulou Maria, Koutsidou Athanasia, Vatopoulos Alkiviadis, Tryfinopoulou Kyriaki
Central Public Health Laboratory, National Public Health Organization, 16672 Vari, Greece.
School of Public Health, University of West Attica, 11521 Athens, Greece.
Life (Basel). 2021 Sep 22;11(10):996. doi: 10.3390/life11100996.
Changes in hospitals' daily practice due to COVID-19 pandemic may have an impact on antimicrobial resistance (AMR). We aimed to assess this possible impact as captured by the Greek Electronic System for the Surveillance of Antimicrobial Resistance (WHONET-Greece). Routine susceptibility data of 17,837 Gram-negative and Gram-positive bacterial isolates from blood and respiratory specimens of hospitalized patients in nine COVID-19 tertiary hospitals were used in order to identify potential differences in AMR trends in the last three years, divided into two periods, January 2018-March 2020 and April 2020-March 2021. Interrupted time-series analysis was used to evaluate differences in the trends of non-susceptibility before and after the changes due to COVID-19. We found significant differences in the slope of non-susceptibility trends of blood and respiratory isolates to amikacin, tigecycline and colistin; of blood and respiratory isolates to meropenem and tigecycline; and of respiratory isolates to imipenem, meropenem and levofloxacin. Additionally, we found significant differences in the slope of non-susceptibility trends of isolates to oxacillin and of isolates to glycopeptides. Assessing in this early stage, through surveillance of routine laboratory data, the way a new global threat like COVID-19 could affect an already ongoing pandemic like AMR provides useful information for prompt action.
由于新冠疫情,医院日常诊疗的变化可能会对抗菌药物耐药性(AMR)产生影响。我们旨在评估希腊抗菌药物耐药性监测电子系统(WHONET - 希腊)所捕捉到的这种可能影响。我们使用了来自9家新冠定点三级医院住院患者血液和呼吸道标本的17837株革兰氏阴性和革兰氏阳性细菌分离株的常规药敏数据,以确定过去三年中AMR趋势的潜在差异,这三年分为两个时期,即2018年1月至2020年3月以及2020年4月至2021年3月。采用中断时间序列分析来评估新冠疫情导致变化前后不敏感趋势的差异。我们发现血液和呼吸道分离株对阿米卡星、替加环素和黏菌素的不敏感趋势斜率存在显著差异;血液和呼吸道分离株对美罗培南和替加环素的不敏感趋势斜率存在显著差异;呼吸道分离株对亚胺培南、美罗培南和左氧氟沙星的不敏感趋势斜率存在显著差异。此外,我们还发现分离株对苯唑西林和糖肽类的不敏感趋势斜率存在显著差异。在早期阶段,通过监测常规实验室数据来评估像新冠疫情这样的新全球威胁可能会如何影响像AMR这样已经存在的大流行,可为迅速采取行动提供有用信息。