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Efficient automated semi-quantitative urine culture analysis via BD Urine Culture App
Yoshifumi Uwamino1, Mika Nagata2, Wataru Aoki2
1Department of Laboratory Medicine, Keio University School of Medicine, Tokyo, Japan.
Abstract:
We aimed to assess the clinical utility of BD KiestraTM Urine Culture App (UCA). High concordance rates were observed between the urine culture colony counts obtained by medical technologists and those produced using UCA. This application may increase the efficiency of obtaining semi-quantitative urine culture results.
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