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Predicting trajectories of recovery in prostate cancer patients undergone Robot-Assisted Radical Prostatectomy (RARP)

OBJECTIVE: To identify trends of patients’ urinary and sexual dysfunctions from a clinical and psychological perspective and understand whether sociodemographic and medical predictors could differentiate among patients following different one-year longitudinal trajectories. METHODS: An Italian sampl...

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Autores principales: Marzorati, Chiara, Monzani, Dario, Mazzocco, Ketti, Pavan, Francesca, Cozzi, Gabriele, De Cobelli, Ottavio, Monturano, Massimo, Pravettoni, Gabriella
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6448842/
https://www.ncbi.nlm.nih.gov/pubmed/30946773
http://dx.doi.org/10.1371/journal.pone.0214682
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author Marzorati, Chiara
Monzani, Dario
Mazzocco, Ketti
Pavan, Francesca
Cozzi, Gabriele
De Cobelli, Ottavio
Monturano, Massimo
Pravettoni, Gabriella
author_facet Marzorati, Chiara
Monzani, Dario
Mazzocco, Ketti
Pavan, Francesca
Cozzi, Gabriele
De Cobelli, Ottavio
Monturano, Massimo
Pravettoni, Gabriella
author_sort Marzorati, Chiara
collection PubMed
description OBJECTIVE: To identify trends of patients’ urinary and sexual dysfunctions from a clinical and psychological perspective and understand whether sociodemographic and medical predictors could differentiate among patients following different one-year longitudinal trajectories. METHODS: An Italian sample of 478 prostate cancer patients undergone Robot-Assisted Radical Prostatectomy completed the EPIC-26 survey between July 2015 and July 2016 at the pre-hospitalization (T0), 45 days (T1) and 3 (T2), 6 (T3), 9 (T4), and 12 months (T5) after surgery. Sociodemographic and clinical characteristics (age, BMI, diabetes, nerve-sparing procedure) were also collected. Latent Class Growth Analysis was conducted separately for sexual dysfunction and urinary incontinence EPIC-26 subscales. The association between membership in the two longitudinal trajectories of urinary and sexual dysfunctions was assessed by considering Chi-square test and its related contingency table. RESULTS: People who have a high level of urinary incontinence at T1 are likely to have a worse recovery. Age, BMI and pre-surgical continence may affect the level of incontinence at T1 and the recovery trajectories. Patients with low and moderate sexual problems at T1 can face a moderate linear recovery, while people with high level of impotence immediately after surgery may take a longer period to solve sexual dysfunctions. Age and the pre-surgical sexual condition may impact the recovery. Finally, a great proportion of patients reported both steady problems in sexual function and constant high levels of urinary incontinence over time. CONCLUSIONS: This study highlights different categories of patients at risk who may be important to know in order to develop personalized medical pathways and predictive models in a value-based healthcare.
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spelling pubmed-64488422019-04-19 Predicting trajectories of recovery in prostate cancer patients undergone Robot-Assisted Radical Prostatectomy (RARP) Marzorati, Chiara Monzani, Dario Mazzocco, Ketti Pavan, Francesca Cozzi, Gabriele De Cobelli, Ottavio Monturano, Massimo Pravettoni, Gabriella PLoS One Research Article OBJECTIVE: To identify trends of patients’ urinary and sexual dysfunctions from a clinical and psychological perspective and understand whether sociodemographic and medical predictors could differentiate among patients following different one-year longitudinal trajectories. METHODS: An Italian sample of 478 prostate cancer patients undergone Robot-Assisted Radical Prostatectomy completed the EPIC-26 survey between July 2015 and July 2016 at the pre-hospitalization (T0), 45 days (T1) and 3 (T2), 6 (T3), 9 (T4), and 12 months (T5) after surgery. Sociodemographic and clinical characteristics (age, BMI, diabetes, nerve-sparing procedure) were also collected. Latent Class Growth Analysis was conducted separately for sexual dysfunction and urinary incontinence EPIC-26 subscales. The association between membership in the two longitudinal trajectories of urinary and sexual dysfunctions was assessed by considering Chi-square test and its related contingency table. RESULTS: People who have a high level of urinary incontinence at T1 are likely to have a worse recovery. Age, BMI and pre-surgical continence may affect the level of incontinence at T1 and the recovery trajectories. Patients with low and moderate sexual problems at T1 can face a moderate linear recovery, while people with high level of impotence immediately after surgery may take a longer period to solve sexual dysfunctions. Age and the pre-surgical sexual condition may impact the recovery. Finally, a great proportion of patients reported both steady problems in sexual function and constant high levels of urinary incontinence over time. CONCLUSIONS: This study highlights different categories of patients at risk who may be important to know in order to develop personalized medical pathways and predictive models in a value-based healthcare. Public Library of Science 2019-04-04 /pmc/articles/PMC6448842/ /pubmed/30946773 http://dx.doi.org/10.1371/journal.pone.0214682 Text en © 2019 Marzorati et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Marzorati, Chiara
Monzani, Dario
Mazzocco, Ketti
Pavan, Francesca
Cozzi, Gabriele
De Cobelli, Ottavio
Monturano, Massimo
Pravettoni, Gabriella
Predicting trajectories of recovery in prostate cancer patients undergone Robot-Assisted Radical Prostatectomy (RARP)
title Predicting trajectories of recovery in prostate cancer patients undergone Robot-Assisted Radical Prostatectomy (RARP)
title_full Predicting trajectories of recovery in prostate cancer patients undergone Robot-Assisted Radical Prostatectomy (RARP)
title_fullStr Predicting trajectories of recovery in prostate cancer patients undergone Robot-Assisted Radical Prostatectomy (RARP)
title_full_unstemmed Predicting trajectories of recovery in prostate cancer patients undergone Robot-Assisted Radical Prostatectomy (RARP)
title_short Predicting trajectories of recovery in prostate cancer patients undergone Robot-Assisted Radical Prostatectomy (RARP)
title_sort predicting trajectories of recovery in prostate cancer patients undergone robot-assisted radical prostatectomy (rarp)
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6448842/
https://www.ncbi.nlm.nih.gov/pubmed/30946773
http://dx.doi.org/10.1371/journal.pone.0214682
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