Accurate and fast diagnostic algorithm for febrile urinary tract infections in humans

The urine dipstick that detects nitrite and leukocyte esterase, and urine sediment is commonly used to diagnose or exclude urinary tract infections (UTIs) as the source of infection in febrile patients admitted to the emergency department of Dutch hospitals. However, the diagnostic accuracy of the u...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Netherlands journal of medicine 2014-09, Vol.72 (7), p.356-362
Hauptverfasser: Gieteling, E, van de Leur, J J C M, Stegeman, C A, Groeneveld, P H P
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 362
container_issue 7
container_start_page 356
container_title Netherlands journal of medicine
container_volume 72
creator Gieteling, E
van de Leur, J J C M
Stegeman, C A
Groeneveld, P H P
description The urine dipstick that detects nitrite and leukocyte esterase, and urine sediment is commonly used to diagnose or exclude urinary tract infections (UTIs) as the source of infection in febrile patients admitted to the emergency department of Dutch hospitals. However, the diagnostic accuracy of the urine dipstick and urine sediment has never been studied in this specific situation. Urinary samples of 104 febrile consecutive patients were examined. Urine culture with ≥ 10(5) colonies/ml of one or two known uropathogen was used as the gold standard. The diagnostic value of the urine dipstick, urine sediment and Gram stain at various cut-off points was determined and used to develop a new diagnostic algorithm. This algorithm was validated in a new group of sepsis patients based on systemic inflammatory response syndrome (SIRS) criteria. A positive nitrite on the urine dipstick (specificity 99%) rules in UTI. This is the first step of our diagnostic algorithm. The second step is to exclude UTI by absence of bacteria in the urine sediment (sensitivity 94%). The third and last step is the number of leucocytes/high-power field (hpf) in the urine sediment. Less than 10 leucocytes/hpf makes UTI unlikely whereas ≥ 10 leucocytes/hpf indicates UTI. In contrast to urine dipstick and/or urine sediment results alone, our algorithm showed both a high sensitivity (92%) and specificity (92%) and was validated in a new sepsis population. Our accurate and fast diagnostic algorithm, which combines the selective results of urine dipstick and urine sediment, can be easily used to diagnose UTI in febrile patients at the emergency department of Dutch hospitals.
format Article
fullrecord <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_proquest_miscellaneous_1559618833</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>1559618833</sourcerecordid><originalsourceid>FETCH-LOGICAL-p211t-65d069248766b7d70db062b4b1c2bb79bb11535994f13cd859d53ac0a5be1ba03</originalsourceid><addsrcrecordid>eNo1kDtrwzAcxEWhNGnar1A0djHoYUnWGEJfEMjSzOavhxMVW0oleei3r6HpdDf8OO7uBq1pp1ijiaQrdF_KFyFEKi3u0IoJqjol9Rodt9bOGarHEB0eoFTsApxiKjVYDOMp5VDPEx5SxoM3OYwezzlEyD-4ZrAVhzh4W0OKZbH4PE8QywO6HWAs_vGqG3R8ffncvTf7w9vHbrtvLozS2kjhiNSsXapIo5wizhDJTGuoZcYobQylggut24Fy6zqhneBgCQjjqQHCN-j5L_eS0_fsS-2nUKwfR4g-zaWnQmhJu47zBX26orOZvOsvOUzLiP7_Cv4Lv6daCg</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1559618833</pqid></control><display><type>article</type><title>Accurate and fast diagnostic algorithm for febrile urinary tract infections in humans</title><source>MEDLINE</source><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><creator>Gieteling, E ; van de Leur, J J C M ; Stegeman, C A ; Groeneveld, P H P</creator><creatorcontrib>Gieteling, E ; van de Leur, J J C M ; Stegeman, C A ; Groeneveld, P H P</creatorcontrib><description>The urine dipstick that detects nitrite and leukocyte esterase, and urine sediment is commonly used to diagnose or exclude urinary tract infections (UTIs) as the source of infection in febrile patients admitted to the emergency department of Dutch hospitals. However, the diagnostic accuracy of the urine dipstick and urine sediment has never been studied in this specific situation. Urinary samples of 104 febrile consecutive patients were examined. Urine culture with ≥ 10(5) colonies/ml of one or two known uropathogen was used as the gold standard. The diagnostic value of the urine dipstick, urine sediment and Gram stain at various cut-off points was determined and used to develop a new diagnostic algorithm. This algorithm was validated in a new group of sepsis patients based on systemic inflammatory response syndrome (SIRS) criteria. A positive nitrite on the urine dipstick (specificity 99%) rules in UTI. This is the first step of our diagnostic algorithm. The second step is to exclude UTI by absence of bacteria in the urine sediment (sensitivity 94%). The third and last step is the number of leucocytes/high-power field (hpf) in the urine sediment. Less than 10 leucocytes/hpf makes UTI unlikely whereas ≥ 10 leucocytes/hpf indicates UTI. In contrast to urine dipstick and/or urine sediment results alone, our algorithm showed both a high sensitivity (92%) and specificity (92%) and was validated in a new sepsis population. Our accurate and fast diagnostic algorithm, which combines the selective results of urine dipstick and urine sediment, can be easily used to diagnose UTI in febrile patients at the emergency department of Dutch hospitals.</description><identifier>EISSN: 1872-9061</identifier><identifier>PMID: 25178769</identifier><language>eng</language><publisher>Netherlands</publisher><subject>Aged ; Algorithms ; Colony Count, Microbial ; Female ; Fever - etiology ; Humans ; Leukocyte Count ; Male ; Middle Aged ; Nitrites - urine ; Sensitivity and Specificity ; Urinary Tract Infections - diagnosis ; Urinary Tract Infections - microbiology ; Urinary Tract Infections - urine ; Urine - cytology ; Urine - microbiology</subject><ispartof>Netherlands journal of medicine, 2014-09, Vol.72 (7), p.356-362</ispartof><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/25178769$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Gieteling, E</creatorcontrib><creatorcontrib>van de Leur, J J C M</creatorcontrib><creatorcontrib>Stegeman, C A</creatorcontrib><creatorcontrib>Groeneveld, P H P</creatorcontrib><title>Accurate and fast diagnostic algorithm for febrile urinary tract infections in humans</title><title>Netherlands journal of medicine</title><addtitle>Neth J Med</addtitle><description>The urine dipstick that detects nitrite and leukocyte esterase, and urine sediment is commonly used to diagnose or exclude urinary tract infections (UTIs) as the source of infection in febrile patients admitted to the emergency department of Dutch hospitals. However, the diagnostic accuracy of the urine dipstick and urine sediment has never been studied in this specific situation. Urinary samples of 104 febrile consecutive patients were examined. Urine culture with ≥ 10(5) colonies/ml of one or two known uropathogen was used as the gold standard. The diagnostic value of the urine dipstick, urine sediment and Gram stain at various cut-off points was determined and used to develop a new diagnostic algorithm. This algorithm was validated in a new group of sepsis patients based on systemic inflammatory response syndrome (SIRS) criteria. A positive nitrite on the urine dipstick (specificity 99%) rules in UTI. This is the first step of our diagnostic algorithm. The second step is to exclude UTI by absence of bacteria in the urine sediment (sensitivity 94%). The third and last step is the number of leucocytes/high-power field (hpf) in the urine sediment. Less than 10 leucocytes/hpf makes UTI unlikely whereas ≥ 10 leucocytes/hpf indicates UTI. In contrast to urine dipstick and/or urine sediment results alone, our algorithm showed both a high sensitivity (92%) and specificity (92%) and was validated in a new sepsis population. Our accurate and fast diagnostic algorithm, which combines the selective results of urine dipstick and urine sediment, can be easily used to diagnose UTI in febrile patients at the emergency department of Dutch hospitals.</description><subject>Aged</subject><subject>Algorithms</subject><subject>Colony Count, Microbial</subject><subject>Female</subject><subject>Fever - etiology</subject><subject>Humans</subject><subject>Leukocyte Count</subject><subject>Male</subject><subject>Middle Aged</subject><subject>Nitrites - urine</subject><subject>Sensitivity and Specificity</subject><subject>Urinary Tract Infections - diagnosis</subject><subject>Urinary Tract Infections - microbiology</subject><subject>Urinary Tract Infections - urine</subject><subject>Urine - cytology</subject><subject>Urine - microbiology</subject><issn>1872-9061</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNo1kDtrwzAcxEWhNGnar1A0djHoYUnWGEJfEMjSzOavhxMVW0oleei3r6HpdDf8OO7uBq1pp1ijiaQrdF_KFyFEKi3u0IoJqjol9Rodt9bOGarHEB0eoFTsApxiKjVYDOMp5VDPEx5SxoM3OYwezzlEyD-4ZrAVhzh4W0OKZbH4PE8QywO6HWAs_vGqG3R8ffncvTf7w9vHbrtvLozS2kjhiNSsXapIo5wizhDJTGuoZcYobQylggut24Fy6zqhneBgCQjjqQHCN-j5L_eS0_fsS-2nUKwfR4g-zaWnQmhJu47zBX26orOZvOsvOUzLiP7_Cv4Lv6daCg</recordid><startdate>20140901</startdate><enddate>20140901</enddate><creator>Gieteling, E</creator><creator>van de Leur, J J C M</creator><creator>Stegeman, C A</creator><creator>Groeneveld, P H P</creator><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>7X8</scope></search><sort><creationdate>20140901</creationdate><title>Accurate and fast diagnostic algorithm for febrile urinary tract infections in humans</title><author>Gieteling, E ; van de Leur, J J C M ; Stegeman, C A ; Groeneveld, P H P</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-p211t-65d069248766b7d70db062b4b1c2bb79bb11535994f13cd859d53ac0a5be1ba03</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Aged</topic><topic>Algorithms</topic><topic>Colony Count, Microbial</topic><topic>Female</topic><topic>Fever - etiology</topic><topic>Humans</topic><topic>Leukocyte Count</topic><topic>Male</topic><topic>Middle Aged</topic><topic>Nitrites - urine</topic><topic>Sensitivity and Specificity</topic><topic>Urinary Tract Infections - diagnosis</topic><topic>Urinary Tract Infections - microbiology</topic><topic>Urinary Tract Infections - urine</topic><topic>Urine - cytology</topic><topic>Urine - microbiology</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Gieteling, E</creatorcontrib><creatorcontrib>van de Leur, J J C M</creatorcontrib><creatorcontrib>Stegeman, C A</creatorcontrib><creatorcontrib>Groeneveld, P H P</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>MEDLINE - Academic</collection><jtitle>Netherlands journal of medicine</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Gieteling, E</au><au>van de Leur, J J C M</au><au>Stegeman, C A</au><au>Groeneveld, P H P</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Accurate and fast diagnostic algorithm for febrile urinary tract infections in humans</atitle><jtitle>Netherlands journal of medicine</jtitle><addtitle>Neth J Med</addtitle><date>2014-09-01</date><risdate>2014</risdate><volume>72</volume><issue>7</issue><spage>356</spage><epage>362</epage><pages>356-362</pages><eissn>1872-9061</eissn><abstract>The urine dipstick that detects nitrite and leukocyte esterase, and urine sediment is commonly used to diagnose or exclude urinary tract infections (UTIs) as the source of infection in febrile patients admitted to the emergency department of Dutch hospitals. However, the diagnostic accuracy of the urine dipstick and urine sediment has never been studied in this specific situation. Urinary samples of 104 febrile consecutive patients were examined. Urine culture with ≥ 10(5) colonies/ml of one or two known uropathogen was used as the gold standard. The diagnostic value of the urine dipstick, urine sediment and Gram stain at various cut-off points was determined and used to develop a new diagnostic algorithm. This algorithm was validated in a new group of sepsis patients based on systemic inflammatory response syndrome (SIRS) criteria. A positive nitrite on the urine dipstick (specificity 99%) rules in UTI. This is the first step of our diagnostic algorithm. The second step is to exclude UTI by absence of bacteria in the urine sediment (sensitivity 94%). The third and last step is the number of leucocytes/high-power field (hpf) in the urine sediment. Less than 10 leucocytes/hpf makes UTI unlikely whereas ≥ 10 leucocytes/hpf indicates UTI. In contrast to urine dipstick and/or urine sediment results alone, our algorithm showed both a high sensitivity (92%) and specificity (92%) and was validated in a new sepsis population. Our accurate and fast diagnostic algorithm, which combines the selective results of urine dipstick and urine sediment, can be easily used to diagnose UTI in febrile patients at the emergency department of Dutch hospitals.</abstract><cop>Netherlands</cop><pmid>25178769</pmid><tpages>7</tpages></addata></record>
fulltext fulltext
identifier EISSN: 1872-9061
ispartof Netherlands journal of medicine, 2014-09, Vol.72 (7), p.356-362
issn 1872-9061
language eng
recordid cdi_proquest_miscellaneous_1559618833
source MEDLINE; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals
subjects Aged
Algorithms
Colony Count, Microbial
Female
Fever - etiology
Humans
Leukocyte Count
Male
Middle Aged
Nitrites - urine
Sensitivity and Specificity
Urinary Tract Infections - diagnosis
Urinary Tract Infections - microbiology
Urinary Tract Infections - urine
Urine - cytology
Urine - microbiology
title Accurate and fast diagnostic algorithm for febrile urinary tract infections in humans
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-21T15%3A04%3A38IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_pubme&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Accurate%20and%20fast%20diagnostic%20algorithm%20for%20febrile%20urinary%20tract%20infections%20in%20humans&rft.jtitle=Netherlands%20journal%20of%20medicine&rft.au=Gieteling,%20E&rft.date=2014-09-01&rft.volume=72&rft.issue=7&rft.spage=356&rft.epage=362&rft.pages=356-362&rft.eissn=1872-9061&rft_id=info:doi/&rft_dat=%3Cproquest_pubme%3E1559618833%3C/proquest_pubme%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1559618833&rft_id=info:pmid/25178769&rfr_iscdi=true