Evaluation of an automated method for urinocolture screening


Submitted: 14 February 2014
Accepted: 14 February 2014
Published: 30 September 2010
Abstract Views: 1145
PDF: 1223
Publisher's note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.

Authors

Introduction: Urinary tract infections are one of the most common diseases found in medical practice and are diagnosed with traditional methods of cultivation on plates. In this study we evaluated an automated instrumentation for screening of the urinocultures that can provide results quickly and guarantee traceability. The comparison of results obtained with automatic and plate methods is reported. Methods: 316 urine samples including midstream urine, urine catheter and urine bag have been analyzed by Alfred 60 (Alifax) through light scattering technology that measures the replication of the bacteria. Simultaneously, the samples were sown on agar plates CPS3,Agar Cled, Mc Conkey Agar. Results:A total of 316 samples were analyzed by the automated method, 190 resulted negative, all confirmed by culture, while 126 were found positive. 82 cases were confirmed positive in culture plate, 65 with significant isolation of bacteria and 17 with polymicrobial flora with a significant charge. 44 cases were negative in culture plate but positive for the automated method. Conclusions: The absence of false negative results at low charges can represent a starting point to introduce an automated method for urinocolture screening.

Ballabio, C., Venturi, N., Sala, M. R., Mocarelli, P., & Brambilla, P. (2010). Evaluation of an automated method for urinocolture screening. Microbiologia Medica, 25(3). https://doi.org/10.4081/mm.2010.2425

Downloads

Download data is not yet available.

Citations