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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...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2019
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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. |
format | Online Article Text |
id | pubmed-6448842 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
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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