The epidemiology of urinary tract infection View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2010-12

AUTHORS

Betsy Foxman

ABSTRACT

Urinary tract infections (UTIs) are among the most common bacterial infections acquired in the community and in hospitals. In individuals without anatomical or functional abnormalities, UTIs are generally self limiting, but have a propensity to recur. Uropathogens have specialized characteristics, such as the production of adhesins, siderophores and toxins that enable them to colonize and invade the urinary tract, and are transmitted between individuals both through person-to-person contact and possibly via food or water. Although generally self limiting, treatment of UTIs with antibiotics leads to a more rapid resolution of symptoms and is more likely to clear bacteriuria, but also selects for resistant uropathogens and commensal bacteria and adversely affects the gut and vaginal microbiota. As uropathogens are increasingly becoming resistant to currently available antibiotics, it may be time to explore alternative strategies for managing UTI. More... »

PAGES

653

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/nrurol.2010.190

DOI

http://dx.doi.org/10.1038/nrurol.2010.190

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1046873181

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/21139641


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Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1038/nrurol.2010.190'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1038/nrurol.2010.190'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/nrurol.2010.190'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/nrurol.2010.190'


 

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