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Related Experiment Videos

Computer algorithm offers a comprehensive view of quantitative bacteriuria

E S Hyman

    Nephron
    |January 1, 1993
    PubMed
    Summary
    This summary is machine-generated.

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    Low-count bacteria in urine, often gram-positive cocci, may indicate systemic illness. Current significance criteria for bacteriuria (>10(5) cfu/ml) may miss these findings, suggesting a need for revised diagnostic approaches.

    Area of Science:

    • Microbiology
    • Urology
    • Infectious Diseases

    Background:

    • Current criteria for significant bacteriuria (>10^5 cfu/ml) focus on predicting pyelonephritis and may exclude low-count findings.
    • Improved microscopy reveals consistent low counts of bacteria, often gram-positive cocci, in urine sediments of patients with systemic illnesses.

    Purpose of the Study:

    • To re-evaluate the significance of low-count bacteriuria in the context of systemic diseases.
    • To develop a predictive model for bacterial concentration in urine based on bacterial and host factors.

    Main Methods:

    • Utilized improved microscopy for urine sediment analysis.
    • Developed a digital computer program to model bacterial concentration dynamics in urine.
    • Calculated the host's critical division time (CDT) as a discriminant for bacterial proliferation.

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    Main Results:

    • A critical division time (CDT) discriminant predicts bacterial proliferation (>10^5 cfu/ml) if bacterial division time is shorter than CDT.
    • Bacteria with division times slightly longer than CDT wash out unless supplemented.
    • Low-level bacteriuria with poor-growing organisms suggests a continued supplement, potentially indicating systemic bacteremia.

    Conclusions:

    • Low-count coccal bacteriuria, often overlooked, may serve as a marker for bacteremia in systemic diseases.
    • Current criteria for significant bacteriuria require re-evaluation to include these low-level findings.
    • The study suggests a link between urinary findings and systemic bacterial infections, irrespective of anatomical kidney changes.