Efficient automated semi-quantitative urine culture analysis via BD Urine Culture App

Yoshifumi Uwamino, Mika Nagata, Wataru Aoki, Ai Kato, Miho Daigo, Osamu Ishihara, Hirotaka Igari, Rika Inose, Naoki Hasegawa, Mitsuru Murata

Research output: Contribution to journalArticlepeer-review

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.

Original languageEnglish
Article number115567
JournalDiagnostic Microbiology and Infectious Disease
Volume102
Issue number1
DOIs
Publication statusPublished - 2022 Jan

Keywords

  • BD Kiestra™ solution
  • BD Urine Culture App
  • Laboratory automation
  • Semi-quantitative urine culture

ASJC Scopus subject areas

  • Microbiology (medical)
  • Infectious Diseases

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