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Urinary Tract Infection

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Articles published in
J Clin Microbiol
    May 2025
  1. GUERIN F, Sassi M, Gravey F, Zouari A, et al
    Lactobacillus delbrueckii subsp. allosunkii and lactis as emerging human uropathogens in elderly patients.
    J Clin Microbiol. 2025;63:e0207224.
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  2. MILLEVILLE S, Rouabah L, Bernabeu S, Santerre Henriksen A, et al
    Performance of disc diffusion and four commercially available MIC tests to determine mecillinam susceptibility on carbapenemase-producing Enterobacterales.
    J Clin Microbiol. 2025;63:e0147324.
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    January 2025
  3. BERMUDEZ T, Schmitz JE, Boswell M, Humphries R, et al
    Novel technologies for the diagnosis of urinary tract infections.
    J Clin Microbiol. 2025 Jan 6:e0030624. doi: 10.1128/jcm.00306.
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    October 2024
  4. NARTEY LK, Mikhael A, Petrosova H, Yuen V, et al
    A lipidomics-based method to eliminate negative urine culture in general population.
    J Clin Microbiol. 2024;62:e0081924.
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  5. CHOI MH, Kim D, Bae HG, Kim A-R, et al
    Predictive performance of urinalysis for urine culture results according to causative microorganisms: an integrated analysis with artificial intelligence.
    J Clin Microbiol. 2024;62:e0117524.
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    September 2024
  6. EICKHOFF MJ, Dumm RE
    The Brief Case: Tricky Trichosporon asahii in the urinary tract.
    J Clin Microbiol. 2024;62:e0055724.
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    April 2024
  7. STREVA VA, Weinstein J, Jankowski-Romano C, Osakwe N, et al
    The Brief Case: Incidental finding of Brucella abortus bacteremia in a patient with urinary tract infection.
    J Clin Microbiol. 2024;62:e0138123.
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  8. BRYSON AL, Bhalodi A, Liesman RM, Mathers AJ, et al
    Cefazolin as a predictor of urinary cephalosporin activity in indicated Enterobacterales.
    J Clin Microbiol. 2024;62:e0078821.
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    July 2023
  9. BRUMWELL A, Sutton G, Lantos PM, Hoffman K, et al
    Escherichia coli ST131 Associated with Increased Mortality in Bloodstream Infections from Urinary Tract Source.
    J Clin Microbiol. 2023;61:e0019923.
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    June 2023
  10. SEHEULT JN, Stram MN, Contis L, Pontzer RE, et al
    Development, Evaluation, and Multisite Deployment of a Machine Learning Decision Tree Algorithm To Optimize Urinalysis Parameters for Predicting Urine Culture Positivity.
    J Clin Microbiol. 2023;61:e0029123.
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