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Bedside risk score for medical therapy failure in small-volume BPH: Temporal validation
Numan Alam1, Naveed Ahmad2, Syed Hamzah Shirazi2
1DHQ Teaching Hospital Mardan Pakistan.
BJUI Compass
|May 1, 2026
Summary
A new bedside risk score helps predict medical therapy failure in men with small prostate benign prostatic hyperplasia (BPH). This tool aids in early risk stratification and timely interventions for better patient outcomes.
Area of Science:
- Urology
- Men's Health
- Medical Informatics
Background:
- Medical therapy is the primary treatment for lower urinary tract symptoms (LUTS) in benign prostatic hyperplasia (BPH).
- Predictors of treatment failure in men with small prostate volume (<30ml) are not well-defined.
- Accurate risk stratification is needed for optimal management of BPH patients with small prostates.
Purpose of the Study:
- To develop and validate a simple bedside risk score for predicting medical therapy failure in men with small prostate volume BPH.
- To identify key clinical parameters that predict treatment failure in this specific patient subgroup.
- To enable early identification of patients likely to experience treatment failure.
Main Methods:
- Retrospective cohort study of 201 men (≥50 years) with LUTS/BPH and prostate volume <30ml.
- Treatment failure defined as surgery, acute urinary retention, or IPSS worsening by ≥4 points.
- Multivariable logistic regression identified predictors; a risk score was derived and temporally validated.
Main Results:
- 66 patients (32.8%) experienced treatment failure over a median 24-month follow-up.
- Predictors included higher IPSS, BPH Impact Index, intravesical prostatic protrusion, lower Qmax, higher PVR, and diabetes.
- The risk score effectively stratified patients into low (11.0%), moderate (32.9%), and high-risk (77.5%) failure categories (AUC 0.789).
Conclusions:
- A novel bedside risk score accurately predicts medical therapy failure in small-volume BPH.
- The score utilizes readily available clinical parameters for practical application.
- This tool can facilitate early risk stratification and timely interventions, especially in diabetic populations.
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