Evaluation of urinalysis parameters to predict urinary-tract infection

Detalhes bibliográficos
Autor(a) principal: Santos,Juliana Conrad dos
Data de Publicação: 2007
Outros Autores: Weber,Liliana Portal, Perez,Leandro Reus Rodrigues
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Brazilian Journal of Infectious Diseases
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1413-86702007000500008
Resumo: We evaluated the performance of automated-flow cytometry, urinalysis dipsticks and microscopic urine sediment analysis as predictors of urinary tract infection. Urine cultures were used as a reference method for comparison. Six-hundred-seventy-five urine samples from hospitalized and not hospitalized patients attended at Hospital Mãe de Deus, Porto Alegre, in south Brazil, were included in the study. Among the individual measures analyzed, intense bacteriuria in the microscopic analysis of urinary sediment gave an accuracy of 92.9%. A combination between intense bacteriuria (microscopic analysis) and >20 leukocytes per µL of urine (flow cytometry) gave a higher accuracy (97.3%). We conclude that though it is laborious, microscopic urinalysis is a good analytical tool. Taken together with flow cytometry and dipsticks, we obtained a clinically-acceptable prediction of urinary-tract infection.
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spelling Evaluation of urinalysis parameters to predict urinary-tract infectionUrinary tract infectionurinalysisflow cytometryWe evaluated the performance of automated-flow cytometry, urinalysis dipsticks and microscopic urine sediment analysis as predictors of urinary tract infection. Urine cultures were used as a reference method for comparison. Six-hundred-seventy-five urine samples from hospitalized and not hospitalized patients attended at Hospital Mãe de Deus, Porto Alegre, in south Brazil, were included in the study. Among the individual measures analyzed, intense bacteriuria in the microscopic analysis of urinary sediment gave an accuracy of 92.9%. A combination between intense bacteriuria (microscopic analysis) and >20 leukocytes per µL of urine (flow cytometry) gave a higher accuracy (97.3%). We conclude that though it is laborious, microscopic urinalysis is a good analytical tool. Taken together with flow cytometry and dipsticks, we obtained a clinically-acceptable prediction of urinary-tract infection.Brazilian Society of Infectious Diseases2007-10-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1413-86702007000500008Brazilian Journal of Infectious Diseases v.11 n.5 2007reponame:Brazilian Journal of Infectious Diseasesinstname:Brazilian Society of Infectious Diseases (BSID)instacron:BSID10.1590/S1413-86702007000500008info:eu-repo/semantics/openAccessSantos,Juliana Conrad dosWeber,Liliana PortalPerez,Leandro Reus Rodrigueseng2007-10-22T00:00:00Zoai:scielo:S1413-86702007000500008Revistahttps://www.bjid.org.br/https://old.scielo.br/oai/scielo-oai.phpbjid@bjid.org.br||lgoldani@ufrgs.br1678-43911413-8670opendoar:2007-10-22T00:00Brazilian Journal of Infectious Diseases - Brazilian Society of Infectious Diseases (BSID)false
dc.title.none.fl_str_mv Evaluation of urinalysis parameters to predict urinary-tract infection
title Evaluation of urinalysis parameters to predict urinary-tract infection
spellingShingle Evaluation of urinalysis parameters to predict urinary-tract infection
Santos,Juliana Conrad dos
Urinary tract infection
urinalysis
flow cytometry
title_short Evaluation of urinalysis parameters to predict urinary-tract infection
title_full Evaluation of urinalysis parameters to predict urinary-tract infection
title_fullStr Evaluation of urinalysis parameters to predict urinary-tract infection
title_full_unstemmed Evaluation of urinalysis parameters to predict urinary-tract infection
title_sort Evaluation of urinalysis parameters to predict urinary-tract infection
author Santos,Juliana Conrad dos
author_facet Santos,Juliana Conrad dos
Weber,Liliana Portal
Perez,Leandro Reus Rodrigues
author_role author
author2 Weber,Liliana Portal
Perez,Leandro Reus Rodrigues
author2_role author
author
dc.contributor.author.fl_str_mv Santos,Juliana Conrad dos
Weber,Liliana Portal
Perez,Leandro Reus Rodrigues
dc.subject.por.fl_str_mv Urinary tract infection
urinalysis
flow cytometry
topic Urinary tract infection
urinalysis
flow cytometry
description We evaluated the performance of automated-flow cytometry, urinalysis dipsticks and microscopic urine sediment analysis as predictors of urinary tract infection. Urine cultures were used as a reference method for comparison. Six-hundred-seventy-five urine samples from hospitalized and not hospitalized patients attended at Hospital Mãe de Deus, Porto Alegre, in south Brazil, were included in the study. Among the individual measures analyzed, intense bacteriuria in the microscopic analysis of urinary sediment gave an accuracy of 92.9%. A combination between intense bacteriuria (microscopic analysis) and >20 leukocytes per µL of urine (flow cytometry) gave a higher accuracy (97.3%). We conclude that though it is laborious, microscopic urinalysis is a good analytical tool. Taken together with flow cytometry and dipsticks, we obtained a clinically-acceptable prediction of urinary-tract infection.
publishDate 2007
dc.date.none.fl_str_mv 2007-10-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1413-86702007000500008
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1413-86702007000500008
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/S1413-86702007000500008
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Brazilian Society of Infectious Diseases
publisher.none.fl_str_mv Brazilian Society of Infectious Diseases
dc.source.none.fl_str_mv Brazilian Journal of Infectious Diseases v.11 n.5 2007
reponame:Brazilian Journal of Infectious Diseases
instname:Brazilian Society of Infectious Diseases (BSID)
instacron:BSID
instname_str Brazilian Society of Infectious Diseases (BSID)
instacron_str BSID
institution BSID
reponame_str Brazilian Journal of Infectious Diseases
collection Brazilian Journal of Infectious Diseases
repository.name.fl_str_mv Brazilian Journal of Infectious Diseases - Brazilian Society of Infectious Diseases (BSID)
repository.mail.fl_str_mv bjid@bjid.org.br||lgoldani@ufrgs.br
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