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The relationship of comorbid diseases and empirical antibiotic usage with superinfection in covid-19 patients
Author(s)
Filiz Orak Department of Microbiology, Kahramanmaras Sutcu Imam University, Kahramanmaras, Turkiye
Selcuk Nazik Department of Infectious Diseases and Clinical Microbiology, Kahramanmaras Sutcu Imam University, Kahramanmaras, Turkiye
Kezban Tulay Yalcinkaya Department of Microbiology, Kahramanmaras Sutcu Imam University, Kahramanmaras, Turkiye
Murat Aral Department of Microbiology, Kahramanmaras Sutcu Imam University, Kahramanmaras, Turkiye
Selma Ates Department of Infectious Diseases and Clinical Microbiology, Kahramanmaras Sutcu Imam University, Kahramanmaras, Turkiye
Adem Doganer Department of Biostatistics and Medical Informatics, Kahramanmaras Sutcu Imam University, Kahramanmaras, Turkiye
Abstract
Objective: To identify the microorganisms responsible for superinfections in patients admitted with COVID-19 and evaluate the impact of empirical antibiotic regimen and comorbid disease on superinfections comparing COVID-19 patients with and without secondary infection. Study Design: A descriptive study. Place and Duration of the Study: Department of Microbiology, Kahramanmaras Sutcu Imam University, Kahramanmaras, Turkiye, from March to July 2020. Methodology: This study was conducted with patients diagnosed with COVID-19 disease based on radiological or quantitative RT-PCR test results. Culture results, demographic characteristics, clinical variables, and therapeutic regimen were collected from medical records. Results: Superinfection developed in 48 (26.96%) of 178 cultures (24 of 101 patients) followed up in the COVID-19 clinics. Infections were determined as 25 (52.08%) bloodstream, 11 (22.9%) urinary tract, 10 (20.8%) respiratory tract and 2 (4.16%) soft tissue infections, respectively. Secondary infectious agents were E.coli in 11 (22.9%), A.baumannii in 8 (16.7%), S.homminis in 7 (14.6%), S.epidermidis in 6 (12.5%), K.pneumoniae in 4 (8.3%), C.albicans in 2 (4.1%), and other bacterial and fungal agents in 10 (20.8%). The median range from admission to the hospital to detecting microorganism growth was the longest with piperacillin/tazobactam with moxi oxacin and azithromycin. Secondary microorganism detection was delayed, mostly due to the empirical use of moxi oxacin, azithromycin, and piperacillin/tazobactam. Conclusion: Demographic characteristics, comorbidity and antibiotic use of patients were not directly related to secondary infections. In addition, the empirical use of azithromycin and moxi oxacin with piperacillin/tazobactam appeared to delay the development of superinfection.
Publication Details
Page(s) 852-856
DOI 10.29271/jcpsp.2023.08.852
Published Journal: Journal of College of Physicians and Surgeons--Pakistan : JCPSP, Volume: 33, Issue: 8, Year: 2023
Keywords
Comorbidity COVID19 Superinfection
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