Study design, materials and methods
Each new patient, aged 45 years or older with LUTS, due to benign prostatic enlargement, presenting at the Charing Cross Hospital, Dept. of Urology, London, United Kingdom and at the Department of Urology, Teramo Hospital, University of Aquila, Italy, was prospectively enrolled. Patients underwent standard diagnostic assessment including International Prostatic Symptoms Score (IPSS), uroflowmetry, urodynamic studies (cystometry and pressure flow studies), transrectal ultrasound and ultrasound measurements of the bladder wall thickness (BWT). A nomogram was generated based on the logistic regression model used to predict DU defined as a BCI<100 cmH2O. Accuracy of the nomogram was evaluated using the L-ROC
Interpretation of results
In a multivariable logistic, age-adjusted regression model BWT (OR: 0.51 per mm; CI: 0.40-0-66; p= 0.001) and Qmax (OR: 0.75 per ml/sec; CI: 0.70-0.81; p= 0.001) remained statistically significant predictors for DU. Calibration plot and decision curve analysis showed good calibration of the nomogram in the 10-85% probabilities. The nomogram predicting DU risk presented a predictive accuracy of 0.82 (Figure 1-2).