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Evaluation of the diagnostic performance of the urine dipstick test for the detection of urinary tract infections in patients treated in Kenyan hospitals.

John MainaJohn MwanikiFranklin MwitiSusan KiiruJaphet KatanaFredrick WanjaJoel MukayaOsborn KhasabuliBenon AsiimweStephen H GillespieJohn StellingStephen MshanaMatthew HoldenWilber SabiitiJohn Kiirunull null
Published in: Access microbiology (2023)
Discrepancies in prevalence from the urine dipstick test and culture, the gold standard, indicate dipstick test inadequacy for accurate UTI diagnosis. The finding also demonstrates the need for urine culture for accurate UTI diagnosis. However, considering it is not always possible to perform a culture, especially in low-resource settings, future studies are needed to combine specific UTI symptoms and dipstick results to assess possible increases in the test's sensitivity. There is also a need to develop readily available and affordable algorithms that can detect UTIs where culture is not available.
Keyphrases
  • urinary tract infection
  • loop mediated isothermal amplification
  • healthcare
  • machine learning
  • sensitive detection
  • high resolution
  • risk factors
  • deep learning
  • mass spectrometry
  • quantum dots
  • real time pcr