Literature DB >> 11880072

A method for estimating within-patient variability in maximal urinary flow rate adjusted for voided volume.

Gabe S Sonke1, Chris Robertson, André L M Verbeek, Wim P J Witjes, Jean J M C H de la Rosette, Lambertus A Kiemeney.   

Abstract

OBJECTIVES: To investigate whether volume adjustment can be used to reduce the within-patient variability of the maximal urinary flow rate (Qmax) without affecting the variability between patients.
METHODS: We analyzed 2049 urinary flow curves of 208 men with lower urinary tract symptoms suggestive of bladder outlet obstruction and studied the relation between Qmax and voided volume (VV) in individual patients using multilevel regression analysis.
RESULTS: In agreement with most previous studies, we found a hyperbolic relation between the VV and Qmax. Although hyperbolic on average, the slope of the regression line relating the VV to Qmax differed substantially across individual patients. In some patients, Qmax even tended to be lower with an increased VV.
CONCLUSIONS: The reproducibility of Qmax is poor, in part because of its dependence on the VV. The current methods to adjust Qmax for VV, such as the Siroky nomogram, minimize between-patient dependency, whereas our findings emphasize the importance of within-patient variability. A common approach to adjust Qmax for VV, however, is not feasible, because the relation of Qmax to VV differs substantially across patients. The only valid, although impractical option, remains to record a large number of urinary flow curves for each patient.

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Mesh:

Year:  2002        PMID: 11880072     DOI: 10.1016/s0090-4295(01)01547-3

Source DB:  PubMed          Journal:  Urology        ISSN: 0090-4295            Impact factor:   2.649


  4 in total

1.  Male Voiding Behavior: Insight from 19,824 At-Home Uroflow Profiles.

Authors:  Stephen J Summers; Joseph M Armstrong; Steven A Kaplan; Alex E Te; Alvin Le; Scott M Heiner; Angela P Presson; Guo Wei; James M Hotaling
Journal:  J Urol       Date:  2020-12-01       Impact factor: 7.450

2.  Development of an Automatic Interpretation Algorithm for Uroflowmetry Results: Application of Artificial Intelligence.

Authors:  Min Soo Choo; Ho Young Ryu; Sangchul Lee
Journal:  Int Neurourol J       Date:  2022-03-31       Impact factor: 2.835

3.  Mobile sonouroflowmetry using voiding sound and volume.

Authors:  Elie El Helou; Joy Naba; Karim Youssef; Georges Mjaess; Ghassan Sleilaty; Samar Helou
Journal:  Sci Rep       Date:  2021-05-27       Impact factor: 4.379

4.  Individualized volume-corrected maximum flow rate correlates with outcome from bladder outlet surgery in men with lower urinary tract symptoms.

Authors:  Alison Bray; Chris Harding; Robert Pickard; Michael Drinnan
Journal:  Int J Urol       Date:  2016-05-15       Impact factor: 3.369

  4 in total

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