International Spinal Cord Injury Urinary Tract Infection Basic Data Set View Full Text


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Article Info

DATE

2013-09

AUTHORS

L L Goetz, D D Cardenas, M Kennelly, B S Bonne Lee, T Linsenmeyer, C Moser, J Pannek, J-J Wyndaele, F Biering-Sorensen

ABSTRACT

OBJECTIVES: To develop an International Spinal Cord Injury (SCI) Urinary Tract Infection (UTI) Basic Data Set presenting a standardized format for the collection and reporting of a minimal amount of information on UTIs in daily practice or research. SETTING: International working group. METHODS: The draft of the Data Set developed by a working group was reviewed by the Executive Committee of the International SCI Standards and Data Sets, and later by the International Spinal Cord Society (ISCoS) Scientific Committee and the American Spinal Injury Association (ASIA) Board. Relevant and interested scientific and professional (international) organizations and societies (∼40) were also invited to review the data set, and it was posted on the ISCoS and ASIA websites for 3 months to allow comments and suggestions. The ISCoS Scientific Committee, Executive Committee and ASIA Board received the data set for final review and approval. RESULTS: The International SCI UTI Basic Data Set includes the following variables: date of data collection, length of time of sign(s)/symptom(s), results of urine dipstick test for nitrite and leukocyte esterase, urine culture results and resistance pattern. The complete instructions for data collection and the data form itself are freely available on the website of ISCoS (http://www.iscos.org.uk). More... »

PAGES

700

References to SciGraph publications

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  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1038/sc.2013.72

    DOI

    http://dx.doi.org/10.1038/sc.2013.72

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1003972562

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/23896666


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    curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1038/sc.2013.72'

    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/sc.2013.72'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/sc.2013.72'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/sc.2013.72'


     

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