Literature DB >> 31423619

Sexual function recovery after robot-assisted radical prostatectomy: Outcomes from an Italian referral centre and predicting nomogram.

Gabriele Cozzi1, Gennaro Musi1, Massimo Monturano2, Vincenzo Bagnardi3, Samuele Frassoni3, Barbara A Jereczek-Fossa4,5, Matteo Ferro1, Roberto Bianchi1, Francesco A Mistretta1,5, Ottavio de Cobelli1,5.   

Abstract

Aims of this study were to assess sexual recovery after robotic-assisted radical prostatectomy (RARP) and to build a nomogram predicting 1-year sexual function. From May 2015 to July 2016, all patients eligible for RARP at our institution were invited to enter the study. The Expanded Prostate cancer Index Composite (EPIC) questionnaire was administered pre-operatively, then at 45 days, and at 3, 6, 9, and 12 months post-operatively. According to sexual function scores, patients were divided into four classes. Multivariate analysis was used to investigate the influence of patient- and disease-related features on sexual recovery. A total of 643 patients were included. Age was associated with baseline potency (p < .0001). Bioptic Gleason score (GS; p = .0002), American Society of Anesthesiologists (ASA) score ( = .002ASA Physical Status Classification System ) and Charlson Comorbidity Index (CCI; p = .02) were negatively associated with potency. Baseline sexual function was associated with potency recovery. A nomogram resulted from fitting a proportional odds logistic model for ordinal outcomes, with 1-year sexual function as a dependent variable and baseline sexual potency, age, body mass index (BMI), clinical stage, biopsy GS, initial prostate-specific antigen (iPSA), ASA score, and CCI as predictors. After further validation, this nomogram could be a useful tool for the pre-operative counselling.
© 2019 Blackwell Verlag GmbH.

Entities:  

Keywords:  nomogram; prostate cancer; robotic prostatectomy; sexual function

Mesh:

Year:  2019        PMID: 31423619     DOI: 10.1111/and.13385

Source DB:  PubMed          Journal:  Andrologia        ISSN: 0303-4569            Impact factor:   2.775


  3 in total

Review 1.  Applications of artificial intelligence in the diagnosis and prediction of erectile dysfunction: a narrative review.

Authors:  Yang Xiong; Yangchang Zhang; Fuxun Zhang; Changjing Wu; Feng Qin; Jiuhong Yuan
Journal:  Int J Impot Res       Date:  2022-01-13       Impact factor: 2.408

2.  Development and Validation of Dynamic Multivariate Prediction Models of Sexual Function Recovery in Patients with Prostate Cancer Undergoing Radical Prostatectomy: Results from the MUSIC Statewide Collaborative.

Authors:  Nnenaya Agochukwu-Mmonu; Adharsh Murali; Daniela Wittmann; Brian Denton; Rodney L Dunn; James Montie; James Peabody; David Miller; Karandeep Singh
Journal:  Eur Urol Open Sci       Date:  2022-04-18

3.  Ten-year experience with penile prosthetic surgery for the treatment of erectile dysfunction: outcomes of a tertiary referral center and predictors of early prosthetic infection.

Authors:  Franco Palmisano; Luca Boeri; Riccardo Ievoli; Josvany Sánchez-Curbelo; Matteo Giulio Spinelli; Andrea Gregori; Antonio Maria Granata; Eduard Ruiz-Castañé; Emanuele Montanari; Joaquim Sarquella-Geli
Journal:  Asian J Androl       Date:  2022 Jan-Feb       Impact factor: 3.285

  3 in total

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