Abstract
Aims To develop a nomogram predicting benign prostatic obstruction (BPO). Methods We included in this study 600 men with lower urinary tract symptoms (LUTS) and benign prostatic enlargement (BPE) who underwent standardized pressure flow studies (PFS) between 1996 and 2000. Complete clinical and urodynamic data were available for all patients. Variables assessed in univariate and multivariate logistic regression models consisted of IPSS, PSA, prostate size, maximal urinary flow rate (Qmax) at free flow, residual urine (RU), and bladder wall thickness (BWT). These were used to predict significant BPO (defined as a Schäfer grade ≥ 3 in PFS). Results A preliminary multivariate model, including IPSS, Qmax at free flow and RU, suggested that only Qmax at free flow was a statistically significant predictor of BPO (P = 0.00) with a predictive accuracy (PA) of 82%. Further development of the multivariate model showed how the inclusion of BWT did not increase PA. Only transitional zone volume (TZV) proved to be an additional statistically significant predictor for BPO (P = 0.00). The combination of Qmax at free flow and TZV demonstrated a PA of 83.2% and were included in the final nomogram format. Conclusions We developed a clinical nomogram, which is both accurate and well calibrated, which can be helpful in the management of patients with LUTS and BPE. External validation is warranted to confirm our findings. Neurourol. Urodynam. 35:235-240, 2016.
| Original language | English |
|---|---|
| Pages (from-to) | 235-240 |
| Number of pages | 6 |
| Journal | Neurourology and Urodynamics |
| Volume | 35 |
| Issue number | 2 |
| DOIs | |
| Publication status | Published - Feb 1 2016 |
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Keywords
- benign prostatic hyperplasia
- bladder prostatic obstruction
- detrusor wall thickness
- intravesical prostatic protrusion
- prostate
- prostate volume
ASJC Scopus subject areas
- Clinical Neurology
- Urology
Cite this
The diagnosis of benign prostatic obstruction : Development of a clinical nomogram. / De Nunzio, Cosimo; Autorino, Riccardo; Bachmann, Alexander; Briganti, Alberto; Carter, Simon; Chun, Felix; Novara, Giacomo; Sosnowski, Roman; Thiruchelvam, Nickesh; Tubaro, Andrea; Ahyai, Sascha.
In: Neurourology and Urodynamics, Vol. 35, No. 2, 01.02.2016, p. 235-240.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - The diagnosis of benign prostatic obstruction
T2 - Development of a clinical nomogram
AU - De Nunzio, Cosimo
AU - Autorino, Riccardo
AU - Bachmann, Alexander
AU - Briganti, Alberto
AU - Carter, Simon
AU - Chun, Felix
AU - Novara, Giacomo
AU - Sosnowski, Roman
AU - Thiruchelvam, Nickesh
AU - Tubaro, Andrea
AU - Ahyai, Sascha
PY - 2016/2/1
Y1 - 2016/2/1
N2 - Aims To develop a nomogram predicting benign prostatic obstruction (BPO). Methods We included in this study 600 men with lower urinary tract symptoms (LUTS) and benign prostatic enlargement (BPE) who underwent standardized pressure flow studies (PFS) between 1996 and 2000. Complete clinical and urodynamic data were available for all patients. Variables assessed in univariate and multivariate logistic regression models consisted of IPSS, PSA, prostate size, maximal urinary flow rate (Qmax) at free flow, residual urine (RU), and bladder wall thickness (BWT). These were used to predict significant BPO (defined as a Schäfer grade ≥ 3 in PFS). Results A preliminary multivariate model, including IPSS, Qmax at free flow and RU, suggested that only Qmax at free flow was a statistically significant predictor of BPO (P = 0.00) with a predictive accuracy (PA) of 82%. Further development of the multivariate model showed how the inclusion of BWT did not increase PA. Only transitional zone volume (TZV) proved to be an additional statistically significant predictor for BPO (P = 0.00). The combination of Qmax at free flow and TZV demonstrated a PA of 83.2% and were included in the final nomogram format. Conclusions We developed a clinical nomogram, which is both accurate and well calibrated, which can be helpful in the management of patients with LUTS and BPE. External validation is warranted to confirm our findings. Neurourol. Urodynam. 35:235-240, 2016.
AB - Aims To develop a nomogram predicting benign prostatic obstruction (BPO). Methods We included in this study 600 men with lower urinary tract symptoms (LUTS) and benign prostatic enlargement (BPE) who underwent standardized pressure flow studies (PFS) between 1996 and 2000. Complete clinical and urodynamic data were available for all patients. Variables assessed in univariate and multivariate logistic regression models consisted of IPSS, PSA, prostate size, maximal urinary flow rate (Qmax) at free flow, residual urine (RU), and bladder wall thickness (BWT). These were used to predict significant BPO (defined as a Schäfer grade ≥ 3 in PFS). Results A preliminary multivariate model, including IPSS, Qmax at free flow and RU, suggested that only Qmax at free flow was a statistically significant predictor of BPO (P = 0.00) with a predictive accuracy (PA) of 82%. Further development of the multivariate model showed how the inclusion of BWT did not increase PA. Only transitional zone volume (TZV) proved to be an additional statistically significant predictor for BPO (P = 0.00). The combination of Qmax at free flow and TZV demonstrated a PA of 83.2% and were included in the final nomogram format. Conclusions We developed a clinical nomogram, which is both accurate and well calibrated, which can be helpful in the management of patients with LUTS and BPE. External validation is warranted to confirm our findings. Neurourol. Urodynam. 35:235-240, 2016.
KW - benign prostatic hyperplasia
KW - bladder prostatic obstruction
KW - detrusor wall thickness
KW - intravesical prostatic protrusion
KW - prostate
KW - prostate volume
UR - http://www.scopus.com/inward/record.url?scp=84959150237&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84959150237&partnerID=8YFLogxK
U2 - 10.1002/nau.22705
DO - 10.1002/nau.22705
M3 - Article
AN - SCOPUS:84959150237
VL - 35
SP - 235
EP - 240
JO - Neurourology and Urodynamics
JF - Neurourology and Urodynamics
SN - 0733-2467
IS - 2
ER -