Literature DB >> 17229419

Time-course of quantitative urinary leukocytes and bacteria counts during antibiotic therapy in women with symptoms of urinary tract infection.

Cornelia Ottiger1, Gabriel Schaer, Andreas R Huber.   

Abstract

BACKGROUND: Urinary tract infections are generally diagnosed by test strips and microscopic semi-quantitative sediment analyses. However, results are uncertain because of lacking standardisation and limited sensitivity in low-count-bacteriuria. Flow cytometry UF-100 was used to analyse particles quantitatively in urine in women with urinary tract infections during the period of antibiotic therapy. The aim was to follow the courses of leukocytes and bacteria during infections and to gain information about the reasons for successful or unsuccessful outcomes.
METHOD: Quantitative leukocytes and bacterial counts in urine of 16 symptomatic women were performed at presentation and each day during the antibiotic treatment by flow cytometry UF-100.
RESULTS: Leukocytes in urine were between 30 and 15,000 (x10(6)/L) at presentation (cut-off 20x10(6)/L). Bacteria counts from flow cytometry were mainly 5x10(9)/L-100x10(9)/L (cut-off of 3x10(9)/L). The deepest decreases in cell counts were noted during the first 24 h after initiation of therapy and gained normal values at the end of treatment in successful outcomes. A slower or no decrease was noted in unsuccessful treatments.
CONCLUSION: The precise leukocyte and bacteria counting by flow cytometry and their follow-up during urinary tract infections gave early information about outcomes of therapy.

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Year:  2006        PMID: 17229419     DOI: 10.1016/j.cca.2006.11.023

Source DB:  PubMed          Journal:  Clin Chim Acta        ISSN: 0009-8981            Impact factor:   3.786


  5 in total

Review 1.  Contemporary management of uncomplicated urinary tract infections.

Authors:  David R P Guay
Journal:  Drugs       Date:  2008       Impact factor: 9.546

2.  Informed switching strongly decreases the prevalence of antibiotic resistance in hospital wards.

Authors:  Roger D Kouyos; Pia Abel Zur Wiesch; Sebastian Bonhoeffer
Journal:  PLoS Comput Biol       Date:  2011-03-03       Impact factor: 4.475

3.  Procalcitonin and pyuria-based algorithm reduces antibiotic use in urinary tract infections: a randomized controlled trial.

Authors:  Daniel Drozdov; Stefanie Schwarz; Alexander Kutz; Eva Grolimund; Anna Christina Rast; Deborah Steiner; Katharina Regez; Ursula Schild; Merih Guglielmetti; Antoinette Conca; Barbara Reutlinger; Cornelia Ottiger; Florian Buchkremer; Sebastian Haubitz; Claudine Blum; Andreas Huber; Ulrich Buergi; Philipp Schuetz; Andreas Bock; Christoph Andreas Fux; Beat Mueller; Werner Christian Albrich
Journal:  BMC Med       Date:  2015-05-01       Impact factor: 8.775

4.  Procalcitonin, pyuria and proadrenomedullin in the management of urinary tract infections--'triple p in uti': study protocol for a randomized controlled trial.

Authors:  Daniel Drozdov; Anja Thomer; Marc Meili; Stefanie Schwarz; Rita Bossart Kouegbe; Katharina Regez; Merih Guglielmetti; Ursula Schild; Antoinette Conca; Petra Schäfer; Barbara Reutlinger; Cornelia Ottiger; Florian Buchkremer; Alexander Litke; Philipp Schuetz; Andreas Huber; Ulrich Bürgi; Christoph A Fux; Andreas Bock; Beat Müller; Werner C Albrich
Journal:  Trials       Date:  2013-03-22       Impact factor: 2.279

5.  Cycling empirical antibiotic therapy in hospitals: meta-analysis and models.

Authors:  Pia Abel zur Wiesch; Roger Kouyos; Sören Abel; Wolfgang Viechtbauer; Sebastian Bonhoeffer
Journal:  PLoS Pathog       Date:  2014-06-26       Impact factor: 6.823

  5 in total

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