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The relationship of comorbid diseases and empirical antibiotic usage with superinfection in covid-19 patients
Author(s):
1. Filiz Orak: Department of Microbiology, Kahramanmaras Sutcu Imam University, Kahramanmaras, Turkiye
2. Selcuk Nazik: Department of Infectious Diseases and Clinical Microbiology, Kahramanmaras Sutcu Imam University, Kahramanmaras, Turkiye
3. Kezban Tulay Yalcinkaya: Department of Microbiology, Kahramanmaras Sutcu Imam University, Kahramanmaras, Turkiye
4. Murat Aral: Department of Microbiology, Kahramanmaras Sutcu Imam University, Kahramanmaras, Turkiye
5. Selma Ates: Department of Infectious Diseases and Clinical Microbiology, Kahramanmaras Sutcu Imam University, Kahramanmaras, Turkiye
6. 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.
Page(s): 852-856
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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