TY - JOUR
T1 - A Prediction Model of Detrusor Underactivity Based on Symptoms and Noninvasive Test Parameters in Men with Lower Urinary Tract Symptoms
T2 - An Analysis of a Large Group of Patients undergoing Pressure-Flow Studies
AU - Namitome, Ryo
AU - Takei, Mineo
AU - Takahashi, Ryosuke
AU - Kikutake, Chie
AU - Yokomizo, Akira
AU - Yamaguchi, Osamu
AU - Eto, Masatoshi
PY - 2020/4/1
Y1 - 2020/4/1
N2 - 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.
AB - 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.
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U2 - 10.1097/JU.0000000000000616
DO - 10.1097/JU.0000000000000616
M3 - Article
C2 - 31647388
AN - SCOPUS:85092148633
VL - 203
SP - 779
EP - 785
JO - Investigative Urology
JF - Investigative Urology
SN - 0022-5347
IS - 4
ER -