Nomogram predicting early urinary incontinence after radical prostatectomy.
Prostate cancer
Radical prostatectomy (RP)
Urethral pressure profile
Urinary incontinence
Journal
BMC cancer
ISSN: 1471-2407
Titre abrégé: BMC Cancer
Pays: England
ID NLM: 100967800
Informations de publication
Date de publication:
03 Sep 2024
03 Sep 2024
Historique:
received:
06
06
2024
accepted:
26
08
2024
medline:
4
9
2024
pubmed:
4
9
2024
entrez:
3
9
2024
Statut:
epublish
Résumé
One of the most frequent side effects of radical prostatectomy (RP) is urinary incontinence. The primary cause of urine incontinence is usually thought to be impaired urethral sphincter function; nevertheless, the pathophysiology and recovery process of urine incontinence remains unclear. This study aimed to identify potential risk variables, build a risk prediction tool that considers preoperative urodynamic findings, and direct doctors to take necessary action to reduce the likelihood of developing early urinary incontinence. We retrospectively screened patients who underwent radical prostatectomy between January 1, 2020 and December 31, 2023 at the First People 's Hospital of Nantong, China. According to nomogram results, patients who developed incontinence within three months were classified as having early incontinence. The training group's general characteristics were first screened using univariate logistic analysis, and the LASSO method was applied for the best prediction. Multivariate logistic regression analysis was carried out to determine independent risk factors for early postoperative urine incontinence in the training group and to create nomograms that predict the likelihood of developing early urinary incontinence. The model was internally validated by computing the performance of the validation cohort. The nomogram discrimination, correction, and clinical usefulness were assessed using the c-index, receiver operating characteristic curve, correction plot, and clinical decision curve. The study involved 142 patients in all. Multivariate logistic regression analysis following RP found seven independent risk variables for early urinary incontinence. A nomogram was constructed based on these independent risk factors. The training and validation groups' c-indices showed that the model had high accuracy and stability. The calibration curve demonstrates that the corrective effect of the training and verification groups is perfect, and the area under the receiver operating characteristic curve indicates great identification capacity. Using a nomogram, the clinical net benefit was maximised within a probability threshold of 0.01-1, according to decision curve analysis (DCA). The nomogram model created in this study can offer a clear, personalised analysis of the risk of early urine incontinence following RP. It is highly discriminatory and accurate, and it can help create efficient preventative measures and identify high-risk populations.
Identifiants
pubmed: 39227825
doi: 10.1186/s12885-024-12850-1
pii: 10.1186/s12885-024-12850-1
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
1095Subventions
Organisme : the Natural Science Foundation of Jiangsu
ID : BE2017682
Organisme : Jiangsu Health Commission
ID : Z2022014
Organisme : Jiangsu Health Commission
ID : Z2022014
Organisme : Medical Research Project of Nantong Health Commission
ID : MS2022017)
Organisme : Nantong Science and Technology Bureau
ID : MS22019009
Organisme : Youth Project of Health Commission of Nantong City
ID : QN2022017
Organisme : Basic Research and Social Minsheng Plan Project
ID : JC12022008
Informations de copyright
© 2024. The Author(s).
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