Relationship between COVID-19 and antimicrobial resistance

Authors : Tuba MÜDERRİS, Selcuk KAYA, Fulya BAYINDIR BİLMAN, Erkan OZMEN, Bilal Olcay PEKER, Ayşegül AKSOY GÖKMEN, Süreyya GÜL YURTSEVER

Pages : 312-318

Doi:10.5472/marumj.1367895

View : 27 | Download : 50

Publication Date : 2023-09-29

Article Type : Research Paper

Abstract :Objective: Bacterial and fungal infections, antimicrobial resistance insert ignore into journalissuearticles values(AMR); results of bacterial agents, and the effect of the pandemic on AMR were evaluated in hospitalized COVID-19 patients. In addition, the detected AMR rates were compared with the AMR rates of the pre-pandemic period. Patients and Methods: The isolates grown in respiratory and blood samples of adult patients hospitalized with the diagnosis of COVID-19 between March 2020 and December 2020 were evaluated retrospectively. The same data in hospitalized patients before the pandemic, between March and December 2019, were evaluated retrospectively. Results: A total of 724 samples were included in the study. The superinfection rate was found to be 15.3%. The most frequently isolated microorganisms are; Acinetobacter baumannii insert ignore into journalissuearticles values(34.4%);, Staphylococcus aureus insert ignore into journalissuearticles values(10.8%);, Klebsiella pneumoniae insert ignore into journalissuearticles values(9.7%); and Pseudomonas aeruginosa insert ignore into journalissuearticles values(7.3%);. The lowest resistance rates in Klebsiella pneumoniae isolates were found for aminoglycosides, in Acinetobacter baumannii isolates were found for trimethoprim-sulfamethoxazole, in Pseudomonas aeruginosa isolates were found for amikacin. When pre-pandemic and pandemic AMR rates were compared; a significant increase in amikacin resistance was detected only in Klebsiella pneumoniae isolates during the pandemic period insert ignore into journalissuearticles values(P:0.049);. Conclusion: The data we have presented may help clinicians in the selection of antimicrobials for empirical therapy by revealing the effect of the pandemic on AMR.
Keywords : Antimicrobial resistance, Bacterial infection, COVID 19, Fungal infection