Evaluation of a Novel Light Scattering Methodology for the Detection of Pathogenic Bacteria in Urine

被引:3
|
作者
Davaro, Elizabeth [1 ]
Tomaras, Andrew P. [2 ]
Chamberland, Robin R. [1 ]
Isbella, T. Scott [1 ]
机构
[1] St Louis Univ, Sch Med, Dept Pathol, Div Clin Pathol, St Louis, MO 63104 USA
[2] BacterioScan Inc, St Louis, MO USA
来源
关键词
TRACT-INFECTIONS;
D O I
10.1093/jalm/jfz013
中图分类号
R446 [实验室诊断]; R-33 [实验医学、医学实验];
学科分类号
1001 ;
摘要
Background: Urine culture, the gold standard for detecting and identifying bacteria in urine, is one of the highest volume tests in many microbiology laboratories. The inability to accurately predict which patients would benefit from culture leads not only to monopolization of laboratory resources, but also to unnecessary antimicrobial exposure as patients receive empirical treatment for suspected or presumed urinary tract infections (UTI) while awaiting culture results. A common approach to decrease unnecessary urine culture is screening samples using urinalysis (UA) parameters to determine those that should proceed to culture (reflex). In this study, we compared the performance of a novel uropathogen detection method to urinalysis for purposes of UTI screening. Methods: Urine specimens submitted for culture (n = 194) were evaluated by urinalysis and a novel light scattering device (BacterioScan 216Dx UTI System) capable of detecting the presence of bacteria in urine. Sensitivity and specificity for prediction of a positive urine culture by UA and 216Dx were determined relative to urine culture results. A positive urine culture was defined as growth in culture of one or two uropathogens at concentrations of >= 50,000 CFU/mL. Results: 194 urine samples were evaluated by UA, 216Dx, and urine culture. The 216Dx demonstrated a 100% [95%CI: 88.43%-100.0%] sensitivity and 81.71% [95%CI: 74.93%-87.30%] specificity for the detection of bacteriuria, vs UA with a sensitivity of 86.67% [95%CI 69.28%-96.24%] and specificity of 71.95% [95%CI: 64.41%-78.68%] when compared to urine culture (diagnostic reference method). Conclusions: BacterioScan allows for an alternative method of screening with satisfactory sensitivity and improved specificity that may facilitate a reduction of unnecessary cultures. Additional studies are required to determine if a concomitant decrease in inappropriate antibiotic use can be realized with the 216Dx technology.
引用
收藏
页码:370 / 376
页数:7
相关论文
共 50 条
  • [21] FURTHER EVALUATION OF TEST FOR DETECTION OF ANTIBODY-COATED BACTERIA IN URINE SEDIMENT
    JONES, SR
    JOHNSON, J
    JOURNAL OF CLINICAL MICROBIOLOGY, 1977, 5 (05) : 510 - 513
  • [22] Novel microfluidic chips integrated with smart devices for in situ detection of foodborne pathogenic bacteria
    Hu, Ruibin
    Wang, Wen
    Zheng, Qingfeng
    Lin, Jianhan
    Yang, Hua
    CURRENT OPINION IN FOOD SCIENCE, 2025, 62
  • [23] Methodology for screening bottled water for the presence of indicator and pathogenic bacteria
    Warburton, DW
    FOOD MICROBIOLOGY, 2000, 17 (01) : 3 - 12
  • [24] Evaluation of sampling methods for the detection of pathogenic bacteria on pre-harvest leafy greens
    Xu, Aixia
    Buchanan, Robert L.
    FOOD MICROBIOLOGY, 2019, 77 : 137 - 145
  • [26] Violet 405-nm light: a novel therapeutic agent against common pathogenic bacteria
    Barneck, Mitchell D.
    Rhodes, Nathaniel L. R.
    de la Presa, Martin
    Allen, James P.
    Poursaid, Ahrash E.
    Nourian, Maziar M.
    Firpo, Matthew A.
    Langell, John T.
    JOURNAL OF SURGICAL RESEARCH, 2016, 206 (02) : 316 - 324
  • [27] Molecular Targets for Foodborne Pathogenic Bacteria Detection
    Paramithiotis, Spiros
    PATHOGENS, 2023, 12 (01):
  • [28] Carbon Dots in the Detection of Pathogenic Bacteria and Viruses
    Zor, Erhan
    Mollarasouli, Fariba
    Karadurmus, Leyla
    Ozcelikay, Goksu
    Ozkan, Sibel A.
    CRITICAL REVIEWS IN ANALYTICAL CHEMISTRY, 2024, 54 (02) : 219 - 246
  • [29] Functional Nucleic Acids for Pathogenic Bacteria Detection
    Chang, Dingran
    Zakaria, Sandy
    Samani, Sahar Esmaeili
    Chang, Yangyang
    Filipe, Carlos D. M.
    Soleymani, Leyla
    Brennan, John D.
    Liu, Meng
    Li, Yingfu
    ACCOUNTS OF CHEMICAL RESEARCH, 2021, 54 (18) : 3540 - 3549
  • [30] DNA PROBES FOR THE DETECTION OF PLANT PATHOGENIC BACTERIA
    RASMUSSEN, OF
    REEVES, JC
    JOURNAL OF BIOTECHNOLOGY, 1992, 25 (03) : 203 - 220