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Review

Modern diagnostic methods for urinary tract infections

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Pages 1047-1063 | Received 01 Jul 2016, Accepted 12 Sep 2016, Published online: 26 Sep 2016
 

ABSTRACT

Introduction: Urinary tract infections (UTIs) are among the most common bacterial infections and constitute for a considerable number of all antibiotic prescriptions. The surge of multi-resistant bacteria has significantly complicated empirical treatment leading to wide use of broad-spectrum antibiotics, further driving resistance development. New ways to detect and quantify host and bacterial molecules in urine promise opportunities to improve diagnostics of UTIs, which can translate to new approaches in treatment regimens.

Areas covered: Limitations of traditional techniques like urine dipsticks and microscopy, biomarkers as potential aid in differentiating the different types of bacteriuria, limitations of traditional and alternative urine culture are discussed. Additionally, the strengths and limitations of modern bacterial detection and identification methods such as flow cytometry, mass spectrometry, near-infrared spectroscopy, nucleic acid based technologies, isothermal microcalorimetry, biosensors and modern test strips in the scope of UTIs are covered. Literature search was performed using Pubmed, focusing on recent publications about diagnostics and ABS/AMS in urinary tract infections.

Expert commentary: We comment on the potential impact of new technologies with a focus on antibiotic stewardship and speculate how the abundance of technological methods may change the way UTIs are perceived and diagnosed in the future.

Declaration of interest

The authors have no relevant affiliations or financial involvement with any organization or entity with a financial interest in or financial conflict with the subject matter or materials discussed in the manuscript. This includes employment, consultancies, honoraria, stock ownership or options, expert testimony, grants or patents received or pending, or royalties.

Additional information

Funding

This paper was not funded

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