Prediction of Bladder Outlet Obstruction in Male Patients with Lower Urinary Tract Symptoms Based on Symptom Scores and Noninvasive Office-Based Diagnostic Tools
Abstract
:1. Introduction
2. Materials and Methods
2.1. Patients
2.2. Noninvasive Examinations and VUDS
2.3. Outcome Measures and Statistical Analysis
3. Results
Patient Characteristics and VUDS Diagnosis
4. Discussion
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
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Characteristics | Total Patients 355 (100%) | Training Set 285 (80.3%) | Validation Set 70 (19.7%) | p Value |
---|---|---|---|---|
Age | 67.8 ± 9.5 | 67.9 ± 9.6 | 67.0 ± 9.1 | 0.464 |
IPSS-Voiding | 9.5 ± 5.8 | 9.7 ± 5.8 | 8.8 ± 5.7 | 0.241 |
IPSS-Storage | 8.6 ± 4.1 | 8.6 ± 4.1 | 8.3 ± 4.2 | 0.583 |
IPSS-V/S | 1.5 ± 1.7 | 1.5 ± 1.7 | 1.4 ± 1.7 | 0.450 |
Qmax (mL/s) | 10.4 ± 6.5 | 10.6 ± 6.7 | 9.8 ± 5.8 | 0.362 |
VoL (mL) | 197.8 ± 123.3 | 200.3 ± 127.4 | 187.6 ± 105.4 | 0.438 |
PVR (mL) | 46.9 ± 86.9 | 46.5 ± 77.4 | 48.3 ± 118.7 | 0.876 |
TPV (mL) | 37.3 ± 19.0 | 36.9 ± 18.5 | 39.3 ± 21.0 | 0.341 |
TZI | 0.40 ± 0.16 | 0.40 ± 0.16 | 0.42 ± 0.16 | 0.195 |
IPP | 0.3 ± 0.6 | 0.3 ± 0.6 | 0.3 ± 0.6 | 0.663 |
PUV angle | 26.9 ± 18.8 | 26.6 ± 18.8 | 27.9 ± 19.0 | 0.621 |
VUDS Diagnosis | Total Patients (N = 355) | Training Set (N = 285) | Validation Set (N = 70) |
---|---|---|---|
Bladder neck dysfunction | 136 (38.3%) | 111 (38.9%) | 25 (35.7%) |
Benign prostate obstruction | 98 (27.6%) | 73 (25.6%) | 25 (35.7%) |
Poor relaxation of external sphincter | 26 (7.3%) | 23 (8.1%) | 3 (4.3%) |
Dysfunctional voiding | 28 (7.9%) | 23 (8.1%) | 5 (7.1%) |
Stable bladder without BOO | 9 (2.5%) | 6 (2.1%) | 3 (4.3%) |
DO without BOO | 37 (10.4%) | 31 (10.9%) | 6 (8.6%) |
Hypersensitivity without BOO | 7 (2.0%) | 5 (1.8%) | 2 (2.9%) |
Detrusor underactivity | 14 (3.9%) | 13 (4.6%) | 1 (1.4%) |
Characteristics Variables | Total Patients (N = 355) | BOO (N = 234) | Non-BOO (N = 121) | p-Value |
---|---|---|---|---|
Age (years) | 67.8 ± 9.5 | 68.6 ± 8.8 | 66.2 ± 10.7 | 0.037 |
IPSS-Voiding | 9.5 ± 5.8 | 9.1 ± 5.7 | 10.1 ± 6.0 | 0.120 |
IPSS-Storage | 8.6 ± 4.1 | 8.5 ± 4.1 | 8.7 ± 4.0 | 0.705 |
IPSS-V/S | 1.5 ± 1.7 | 1.5 ± 1.7 | 1.6 ± 1.7 | 0.483 |
Qmax (mL/s) | 10.4 ± 6.5 | 9.4 ± 5.5 | 12.4 ± 7.7 | <0.001 |
Voided volume (mL) | 197.8 ± 123.3 | 192.3 ± 120.5 | 208.4 ± 128.3 | 0.244 |
PVR (mL) | 46.9 ± 86.9 | 52.4 ± 89.0 | 36.2 ± 82.0 | 0.095 |
TPV (mL) | 37.3 ± 19.0 | 40.7 ± 20.5 | 30.8 ± 13.4 | <0.001 |
TZI | 0.40 ± 0.16 | 0.43 ± 0.15 | 0.35 ± 0.15 | <0.001 |
IPP (cm) | 0.3 ± 0.6 | 0.4 ± 0.6 | 0.1 ± 0.4 | <0.001 |
PUV angle (degree) | 26.9 ± 18.8 | 31.1 ± 17.9 | 18.6 ± 17.8 | <0.001 |
Variables | Cut Off Value | Diagnosis of BOO | Risk Score | |
---|---|---|---|---|
Sensitivity | Specificity | |||
Age (years) | <65 ≥65 | 70.7% | 43.6% | 0 1 |
IPSS-V/S | <1.0 1.0–1.9 ≥2.0 | 56.0% 19.0% | 34.7% 69.3% | 0 1 2 |
Qmax (mL/s) | >15 13–15 11–12 ≤10 | 85.3% 72.3% 63.6% | 24.8% 35.6% 47.5% | 0 1 2 3 |
Voided volume (mL) | >300 201–300 151–200 ≤150 | 81.5% 58.7% 41.8% | 23.8% 46.5% 62.4% | 0 1 2 3 |
TPV (mL) | <30 30.0–39.9 40.0–49.9 ≥50 | 64.7% 39.7% 26.1% | 57.4% 85.1% 92.1% | 0 1 2 3 |
TZI | ≤0.30 0.31–0.49 ≥0.50 | 80.4% 29.9% | 31.7% 82.2% | 0 1 2 |
IPP (cm) | <0.5 0.5–0.9 ≥1.0 | 37.5% 25.5% | 90.1 95.0% | 0 1 2 |
PUV angle (degree) | <30 30–39 ≥40 | 69.6% 38.0% | 60.4% 83.2% | 0 1 2 |
Total score | 0–20 |
BOO | Training Set (N = 285) | Validating Set (N = 70) | |||||
---|---|---|---|---|---|---|---|
Risk Score | Sensitivity | Specificity | AUC (95% CI) | Sensitivity | Specificity | AUC (95% CI) | |
BPO | ≥10 | 0.822 | 0.656 | 0.800 (0.741–0.859) | 0.80 | 0.64 | 0.813 (0.701–0.925) |
BND | ≤7 | 0.405 | 0.736 | 0.578 (0.512–0.645) | 0.32 | 0.71 | 0.596 (0.464–0.728) |
PRES | ≤8 | 0.652 | 0.573 | 0.619 (0.489–0.749) | 0.33 | 0.60 | 0.443 (0.117–0.768) |
DV | ≤9 | 0.739 | 0.485 | 0.611 (0.508–0.714) | 0.60 | 0.52 | 0.712 (0.496–0.928) |
DU | ≤11 | 0.846 | 0.279 | 0.513 (0.361–0.665) | 1.00 | 0.30 | 0.558 (0.434–0.682) |
HSB and Normal | ≤9 | 0.818 | 0.478 | 0.685 (0.551–0.819) | 0.60 | 0.52 | 0.651 (0.458–0.843) |
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Liu, M.-C.; Jiang, Y.-H.; Kuo, H.-C. Prediction of Bladder Outlet Obstruction in Male Patients with Lower Urinary Tract Symptoms Based on Symptom Scores and Noninvasive Office-Based Diagnostic Tools. Biomedicines 2025, 13, 301. https://doi.org/10.3390/biomedicines13020301
Liu M-C, Jiang Y-H, Kuo H-C. Prediction of Bladder Outlet Obstruction in Male Patients with Lower Urinary Tract Symptoms Based on Symptom Scores and Noninvasive Office-Based Diagnostic Tools. Biomedicines. 2025; 13(2):301. https://doi.org/10.3390/biomedicines13020301
Chicago/Turabian StyleLiu, Min-Ching, Yuan-Hong Jiang, and Hann-Chorng Kuo. 2025. "Prediction of Bladder Outlet Obstruction in Male Patients with Lower Urinary Tract Symptoms Based on Symptom Scores and Noninvasive Office-Based Diagnostic Tools" Biomedicines 13, no. 2: 301. https://doi.org/10.3390/biomedicines13020301
APA StyleLiu, M.-C., Jiang, Y.-H., & Kuo, H.-C. (2025). Prediction of Bladder Outlet Obstruction in Male Patients with Lower Urinary Tract Symptoms Based on Symptom Scores and Noninvasive Office-Based Diagnostic Tools. Biomedicines, 13(2), 301. https://doi.org/10.3390/biomedicines13020301