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Treatment of chronic relapsing urinary tract infection with antibiotics selected by AtbFinder

We report the case of a 46-year-old patient who, after renal cancer surgery, developed a recurrent urinary tract infection that lasted for more than 2 years. Despite repeated antibiotic courses, including broad-spectrum drugs chosen using conventional antibiotic susceptibility testing, multiple rein...

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Autores principales: Tetz, George V., Kardava, Kristina M., Vecherkovskaya, Maria F., Tsifansky, Michael D., Tetz, Victor V.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9817160/
https://www.ncbi.nlm.nih.gov/pubmed/36619660
http://dx.doi.org/10.1016/j.eucr.2022.102312
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author Tetz, George V.
Kardava, Kristina M.
Vecherkovskaya, Maria F.
Tsifansky, Michael D.
Tetz, Victor V.
author_facet Tetz, George V.
Kardava, Kristina M.
Vecherkovskaya, Maria F.
Tsifansky, Michael D.
Tetz, Victor V.
author_sort Tetz, George V.
collection PubMed
description We report the case of a 46-year-old patient who, after renal cancer surgery, developed a recurrent urinary tract infection that lasted for more than 2 years. Despite repeated antibiotic courses, including broad-spectrum drugs chosen using conventional antibiotic susceptibility testing, multiple reinfections followed. The patient was successfully treated once antibiotics were selected with AtbFinder. Unlike routine antimicrobial susceptibility methods, which select antibiotics effective only against a “lead bacterial pathogen,” AtbFinder identifies antibiotics that target the mixture of bacteria at the infection site. This case demonstrates the ability of AtbFinder to successfully select antibiotics for the treatment of relapsing urinary tract infections.
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spelling pubmed-98171602023-01-07 Treatment of chronic relapsing urinary tract infection with antibiotics selected by AtbFinder Tetz, George V. Kardava, Kristina M. Vecherkovskaya, Maria F. Tsifansky, Michael D. Tetz, Victor V. Urol Case Rep Inflammation and Infection We report the case of a 46-year-old patient who, after renal cancer surgery, developed a recurrent urinary tract infection that lasted for more than 2 years. Despite repeated antibiotic courses, including broad-spectrum drugs chosen using conventional antibiotic susceptibility testing, multiple reinfections followed. The patient was successfully treated once antibiotics were selected with AtbFinder. Unlike routine antimicrobial susceptibility methods, which select antibiotics effective only against a “lead bacterial pathogen,” AtbFinder identifies antibiotics that target the mixture of bacteria at the infection site. This case demonstrates the ability of AtbFinder to successfully select antibiotics for the treatment of relapsing urinary tract infections. Elsevier 2022-12-28 /pmc/articles/PMC9817160/ /pubmed/36619660 http://dx.doi.org/10.1016/j.eucr.2022.102312 Text en © 2023 The Authors. Published by Elsevier Inc. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Inflammation and Infection
Tetz, George V.
Kardava, Kristina M.
Vecherkovskaya, Maria F.
Tsifansky, Michael D.
Tetz, Victor V.
Treatment of chronic relapsing urinary tract infection with antibiotics selected by AtbFinder
title Treatment of chronic relapsing urinary tract infection with antibiotics selected by AtbFinder
title_full Treatment of chronic relapsing urinary tract infection with antibiotics selected by AtbFinder
title_fullStr Treatment of chronic relapsing urinary tract infection with antibiotics selected by AtbFinder
title_full_unstemmed Treatment of chronic relapsing urinary tract infection with antibiotics selected by AtbFinder
title_short Treatment of chronic relapsing urinary tract infection with antibiotics selected by AtbFinder
title_sort treatment of chronic relapsing urinary tract infection with antibiotics selected by atbfinder
topic Inflammation and Infection
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9817160/
https://www.ncbi.nlm.nih.gov/pubmed/36619660
http://dx.doi.org/10.1016/j.eucr.2022.102312
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