Predicting post-radiation genitourinary hospital admissions in patients with localised prostate cancer

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Prostate cancer is the second most common cancer in men, with increasing long-term survival rates and varying treatment-related toxicities.
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A novel predictive model was developed using pre-treatment clinical factors to assess genitourinary toxicity requiring hospital admission.
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Diabetes, smoking, and bladder outlet obstruction (BOO) were identified as strong independent predictors of hospitalisation for genitourinary toxicity.
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The study utilized the South Australian Prostate Cancer Clinical Outcome Collaborative registry to analyze patient data from 1998 to 2019.
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Model validation included multivariable analysis and decision curve analysis, demonstrating the clinical utility of the predictive model.

World Journal Of Urology

by Rowan David, Mrunal Hiwase, Arman A. Kahokehr, Jason Lee, David I. Watson, John Leung, Michael E. O‘Callaghan
November 10, 2022

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