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Related Experiment Videos

Comparative study of pressure-flow parameters.

Lars M Eri1, Nicolai Wessel, Ole Tysland

  • 1Department of Urology, Ullevaal University Hospital, Oslo, Norway.

Neurourology and Urodynamics
|April 12, 2002
PubMed
Summary

Quantifying bladder outlet obstruction (BOO) is challenging. Detrusor pressure at maximum flow rate (P(det.Qmax)) shows promise for assessing BOO and treatment effectiveness, especially after surgery.

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Area of Science:

  • Urology
  • Medical Engineering

Background:

  • Quantifying bladder outlet obstruction (BOO) lacks standardized methods.
  • Current parameters like detrusor opening pressure and maximum detrusor pressure offer limited diagnostic accuracy.
  • Established tools include the Abrams-Griffiths nomogram, LinPURR, and urethral resistance algorithms.

Purpose of the Study:

  • To evaluate the test-retest reproducibility of BOO quantification parameters.
  • To assess the ability of these parameters to detect moderate (pharmacologic) and pronounced (surgical) relief of BOO.
  • To compare the efficacy of different pressure and resistance parameters in quantifying BOO.

Main Methods:

  • Retrospective methodologic study analyzing pressure-flow charts from 42 patients undergoing androgen suppressive therapy, 42 on placebo, and 30 post-prostate surgery.

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  • Repeat void pressure-flow examinations were conducted before and after interventions.
  • Various pressure and resistance parameters were compared for their diagnostic properties.

    • Main Results:

    • Detrusor pressure at maximum flow rate (P(det.Qmax)) demonstrated advantages among bladder pressure parameters for BOO quantification.
    • Resistance parameters incorporating maximum flow rate and detrusor pressure are preferable for assessing significant urethral resistance reduction, such as post-TURP.
    • P(det.Qmax) appears to be the most relevant detrusor pressure parameter for BOO nomograms.

    Conclusions:

    • P(det.Qmax) is a valuable parameter for quantifying bladder outlet obstruction.
    • Resistance-based parameters are crucial for evaluating outcomes after interventions like TURP.
    • Further validation of P(det.Qmax) in nomograms for BOO assessment is supported.