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Predictors of 2-Year Incidence of Patient-Reported Urinary Incontinence After Post-prostatectomy Radiotherapy: Evidence of Dose and Fractionation Effects.

ABSTRACT: Objective: To investigate predictors of patient-reported urinary incontinence (PRUI) in the first 2 years after post-prostatectomy radiotherapy (PORT) with particular emphasis on possible dose-effect relationships. Patients and Methods: Two-hundred-thirteen patients, whose clinical and dosimetric data were prospectively collected within a registered multi-institutional cohort study, underwent PORT with adjuvant (n = 106) or salvage (n = 107) intent with conventional (n = 123, prescribed dose to the prostatic bed: 66.6-79.8Gy in 1.8-2.0Gy/fr) or moderately hypo- (n = 90, 65.8-76.8Gy in 2.1-2.7Gy/fr) fractionation during the period 2011-2017. PRUI was evaluated through the ICIQ-SF questionnaire filled in at baseline and every 6 months thereafter. The analysis focused on three ICIQ-based clinically relevant endpoints: (a) very frequent leakage (FREQUENCY, ICIQ3 score >3), (b) moderate to severe amount of urine loss (AMOUNT, ICIQ4>2) (c) objective severe symptoms (OBJECTIVE, ICIQ3+4>5). Predictors of the incidence within 2 years for the three endpoints were investigated focusing only on patients without endpoint symptoms at baseline. A uni-variable logistic regression analysis was performed in order to determine the best dose metrics describing PRUI risk in terms of 2-Gy equivalent dose (EQD2) calculated with different α/β values reported in the literature (0.8, 3, 5Gy), and to identify the most significant clinical variables. Variables showing p < 0.20 at uni-variable analysis were entered into a backward stepwise multi-variable logistic regression analysis. Lastly, the goodness of fit and model calibration were evaluated and internally validated. Results: Patients without symptoms at baseline experienced (a), (b), and/or (c) within 2 years in 41/130 (32%), 40/192 (21%), and 41/129 (32%) of the cases, respectively. EQD2 for α/β = 0.8Gy was the best dose metric associated with PRUI. Multi-variable analysis identified baseline incontinence levels as the strongest predictor for all endpoints (p < 0.006). Both FREQUENCY and OBJECTIVE were significantly influenced also by EQD2(α/β = 0.8Gy). The goodness of fit was excellent, as was the calibration; internal calibration confirmed apparent performance. Conclusion: Baseline mild urinary incontinence symptoms strongly modulate the 2-year risk of PRUI. In addition, FREQUENCY is characterized by a marked dose-effect relationship also influencing the trend of OBJECTIVE, with results more reliable than AMOUNT as an objective index. A strong impact of fractionation on severe PRUI after post-prostatectomy radiotherapy also emerged.

SUBMITTER: Bresolin A

PROVIDER: S-EPMC7396712 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:PurposeOne 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.MethodsWe 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.ResultsThe 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).ConclusionThe 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.

Project description:BackgroundArousal incontinence (AI) occurs during physical or psychological sexual stimulation in men and has been described after radical prostatectomy (RP).AimThe goals of this study are to describe the characteristics of men experiencing AI, outline the nature of their symptoms, and assess for predictors of this condition.MethodsA survey with questions on AI, stress urinary incontinence (SUI), the International Index of Erectile Function and International Prostate Symptom Score were sent out to men who had undergone an RP within the past 24 months at a single institution. The data were deidentified and analyzed using descriptive statistics. Comparisons between men with and without AI were made using t-tests and χ2 and Fisher exact tests. Logistic regression in univariable and multivariable analyses were used to define predictors of AI.Main outcome measuresThe outcomes of this study included prevalence of AI, symptom severity and timing, patient and patient-perceived partner bother, management strategies used by the patients, and concurrent SUI.Results226 (32%) men completed the survey. Of these men, almost half (49%) experienced AI at some point during their recovery. Improvement over time was endorsed by 62% of men. 57% of men reported AI in less than half of the sexual encounters, with the amount of urine leakage being equivalent to a tablespoon or less in 88% of men. On univariate analysis, increasing degree of SUI, as measured by pads per day, was associated with AI (P = .01). A lower International Prostate Symptom Score was also associated (P = .05). On multivariate analysis, the absence of hypertension and pads per day were associated with AI (P = .01 for both).Clinical implicationsAI occurred in almost half of the respondents in our series. Thus, AI should be discussed with patients before surgery to allow for realistic expectations.Strengths & limitationsStrengths of this study include the largest patient population analyzed to date regarding AI and that it is the only one to address timing and patient experiences with the use of validated instruments for erectile and urinary function. Limitations include single-center data, non-validated AI patient-reported outcomes, and poor survey response rate.ConclusionBased on the available data, AI is reported by almost half of men after RP and is associated with SUI. Bach PV, Salter CA, Katz D, et al. Arousal Incontinence in Men Following Radical Prostatectomy: Prevalence, Impact and Predictors. J Sex Med 2020;16:1947-1952.

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Predictors of 2-Year Incidence of Patient-Reported Urinary Incontinence After Post-prostatectomy Radiotherapy: Evidence of Dose and Fractionation Effects.

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