Duke Longitudinal Urologic Surgery Patient Outcome Database

Specifically, the database will be used for the following future studies. (i) To characterize the biomarkers/protein signature associated with urological diseases; (ii) To clarify the clinical role of the risk factors and their interactions for early detection and optimized treatment of urological diseases, and improvement of post-treatment quality of life; (iii) To develop algorithms and nomograms to accurately predict the outcome of urological diseases.

Retrospective review of subjects data prior to Institutional Review Board approval and prospective review of data on those consented after Institutional Review Board approval.