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The diagnosis of benign prostatic obstruction: Development of a clinical nomogram

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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; EAU Young Academic Urologists BPH Group Arnhem, The Netherlands.

In: NEUROUROL URODYNAM, Vol. 35, No. 2, 02.2016, p. 235-40.

Research output: SCORING: Contribution to journal › SCORING: Journal article › Research › peer-review

Harvard

De Nunzio, C, Autorino, R, Bachmann, A, Briganti, A, Carter, S, Chun, F, Novara, G, Sosnowski, R, Thiruchelvam, N, Tubaro, A, Ahyai, S & EAU Young Academic Urologists BPH Group Arnhem, The Netherlands 2016, 'The diagnosis of benign prostatic obstruction: Development of a clinical nomogram', NEUROUROL URODYNAM, vol. 35, no. 2, pp. 235-40. https://doi.org/10.1002/nau.22705

APA

De Nunzio, C., Autorino, R., Bachmann, A., Briganti, A., Carter, S., Chun, F., Novara, G., Sosnowski, R., Thiruchelvam, N., Tubaro, A., Ahyai, S., & EAU Young Academic Urologists BPH Group Arnhem, The Netherlands (2016). The diagnosis of benign prostatic obstruction: Development of a clinical nomogram. NEUROUROL URODYNAM, 35(2), 235-40. https://doi.org/10.1002/nau.22705

Vancouver

De Nunzio C, Autorino R, Bachmann A, Briganti A, Carter S, Chun F et al. The diagnosis of benign prostatic obstruction: Development of a clinical nomogram. NEUROUROL URODYNAM. 2016 Feb;35(2):235-40. https://doi.org/10.1002/nau.22705

Bibtex

@article{ca842e122a9b4aa59e6a936fccc82715,
title = "The diagnosis of benign prostatic obstruction: Development of a clinical nomogram",
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 Sch{\"a}fer 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. {\textcopyright} 2014 Wiley Periodicals, Inc.",
author = "{De Nunzio}, Cosimo and Riccardo Autorino and Alexander Bachmann and Alberto Briganti and Simon Carter and Felix Chun and Giacomo Novara and Roman Sosnowski and Nickesh Thiruchelvam and Andrea Tubaro and Sascha Ahyai and {EAU Young Academic Urologists BPH Group Arnhem, The Netherlands}",
note = "{\textcopyright} 2014 Wiley Periodicals, Inc.",
year = "2016",
month = feb,
doi = "10.1002/nau.22705",
language = "English",
volume = "35",
pages = "235--40",
journal = "NEUROUROL URODYNAM",
issn = "0733-2467",
publisher = "Wiley-Liss Inc.",
number = "2",

}

RIS

TY - JOUR

T1 - The diagnosis of benign prostatic obstruction: 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

AU - EAU Young Academic Urologists BPH Group Arnhem, The Netherlands

N1 - © 2014 Wiley Periodicals, Inc.

PY - 2016/2

Y1 - 2016/2

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. © 2014 Wiley Periodicals, Inc.

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. © 2014 Wiley Periodicals, Inc.

U2 - 10.1002/nau.22705

DO - 10.1002/nau.22705

M3 - SCORING: Journal article

C2 - 25524269

VL - 35

SP - 235

EP - 240

JO - NEUROUROL URODYNAM

JF - NEUROUROL URODYNAM

SN - 0733-2467

IS - 2

ER -