已发表论文

P.R.OS.T.A.T.E 列线图对良性前列腺增生患者经尿道前列腺切除术临床疗效的术前预测

 

Authors Tian Y , Zhang H, Cao Y, Yang L, Luo G 

Received 6 March 2022

Accepted for publication 14 May 2022

Published 23 May 2022 Volume 2022:17 Pages 845—855

DOI https://doi.org/10.2147/CIA.S365282

Checked for plagiarism Yes

Review by Single anonymous peer review

Peer reviewer comments 3

Editor who approved publication: Dr Zhi-Ying Wu

Purpose: Transurethral resection of the prostate (TURP) is often indicated for benign prostatic hyperplasia (BPH). Some patients, however, fail to adequately respond to these interventions. Accordingly, a powerful prediction model for TURP efficacy is warranted. This study aimed to create a nomogram with preoperative parameters for the prediction of individual TURP efficacy.
Methods: Clinical data from 356 BPH subjects who underwent TURP were retrospectively collected between November 2015 and June 2021 for nomogram development. The prediction model was developed using multivariable logistic regression analysis and presented as a nomogram. Nomogram performance was assessed through calibration curves and the concordance index (C-index). An independent validation cohort containing 177 consecutive patients in the corresponding period was used for external validation. The optimal cutoff value was determined through receiver operating characteristic curve (ROC) analysis by maximizing the Youden index, and its accuracy was assessed through sensitivity, specificity and predictive values.
Results: In multivariate analysis of the primary cohort, the independent factors for TURP efficacy were age, International Prostate Symptom Score (IPSS), intravesical prostatic protrusion (IPP), bladder wall thickness (BWT), peripheral zone thickness (PT) and transitional zone thickness (TT), all of which were included in the nomogram. The calibration curve for survival probability showed good agreement between the nomogram predictions and actual observations. The C-index for predicting TURP efficacy was 0.860 (95% confidence interval [CI], 0.808– 0.911). The optimal cutoff total nomogram score was 177, with a maximum Youden index of 0.643. The sensitivity, specificity, positive predictive value, and negative predictive value for predicting TURP efficacy were 70.6%, 75.6%, 90.6%, and 43.7% in the validation cohort, respectively. Logistic regression analysis in the validation cohort demonstrated that the area under the curve (AUC) was 0.806 (95% CI, 0.733– 0.879).
Conclusion: The P.R.OS.T.A.T.E nomogram objectively and accurately predicted TURP efficacy, thereby facilitating the clinical decision-making process.
Keywords: nomogram, benign prostatic hyperplasia, lower urinary tract symptoms, transurethral resection of prostate, efficacy