Ryo Namitome1, Mineo Takei2, Ryosuke Takahashi3, Chie Kikutake4, Akira Yokomizo2, Osamu Yamaguchi5, Masatoshi Eto1. 1. Department of Urology, Graduate School of Medical Sciences, Fukuoka, Japan. 2. Department of Urology, Harasanshin Hospital, Fukuoka, Japan. 3. Department of Urology, Spinal Injuries Center, Fukuoka, Japan. 4. Division of Bioinformatics, Department of Medical Institute of Bioregulation, Kyushu University, Fukuoka, Japan. 5. Department of Chemical Biology and Applied Chemistry, Nihon University School of Engineering, Koriyama, Japan.
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.
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.
Entities:
Keywords:
decision support techniques; lower urinary tract symptoms; proof of concept study; signs and symptoms; underactive; urinary bladder