A Prediction Model of Detrusor Underactivity Based on Symptoms and Noninvasive Test Parameters in Men with Lower Urinary Tract Symptoms: An Analysis of a Large Group of Patients undergoing Pressure-Flow Studies

Ryo Namitome, Mineo Takei, Ryosuke Takahashi, Chie Kikutake, Akira Yokomizo, Osamu Yamaguchi, Masatoshi Eto

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)

Abstract

PURPOSE: We sought to identify the symptoms and noninvasive test parameters associated with detrusor underactivity and develop a prediction model of detrusor underactivity. We analyzed clinical data on male patients with lower urinary tract symptoms who underwent pressure-flow studies. MATERIALS AND METHODS: Included in analysis were 909 men who met study criteria and whose data included the International Prostate Symptom Score, free uroflowmetry, post-void residual urine volume and prostate volume. Using these data we examined the significant symptoms and noninvasive test parameters associated with detrusor underactivity and developed a prediction model of detrusor underactivity. RESULTS: Of the 909 patients 454 (50%) were classified with detrusor underactivity. On logistic regression analysis older patient age, smaller prostate volume, a lower urgency symptom score, a higher weak stream symptom score and a lower maximum flow rate were selected as independent predictors of detrusor underactivity. The prediction model of detrusor underactivity consisting of these 5 factors showed satisfactory performance (C statistic 0.724). CONCLUSIONS: We developed a prediction model of detrusor underactivity in male patients with nonneurogenic lower urinary tract symptoms. The model was based on 5 predictive factors, namely older age, smaller prostate volume, 2 symptoms (less urgency and a weak stream) and a lower maximum flow rate. The model helps estimate the probability of detrusor underactivity in clinical practice without an invasive pressure-flow study.

Original languageEnglish
Pages (from-to)779-785
Number of pages7
JournalThe Journal of urology
Volume203
Issue number4
DOIs
Publication statusPublished - Apr 1 2020
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Urology

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