Evaluation of urinalysis parameters to predict urinary-tract infection
Autor(a) principal: | |
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Data de Publicação: | 2007 |
Outros Autores: | , |
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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Brazilian Journal of Infectious Diseases |
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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 |
_version_ |
1754209239917658112 |