AUA 2017: askMUSIC: Leveraging a Clinical Registry to Inform Patients

Boston, MA (UroToday.com) Registries exist to provide physicians with data to support clinical decision making and to provide a pathway of self-review. These registries are becoming more commonplace. The Michigan Urological Surgery Improvement Collaborative, also known as MUSIC, is a consortium of 43 urology practices that maintains a prospective database of men with prostate cancer. Specifically, from 2012-present, 17,700 patients had a new prostate cancer diagnosis in the registry, with over 7500 prostatectomies performed and 4000 patients started on active surveillance.

Using this registry along with a machine learning prediction model and web development platform, a web-based tool was created that they named ‘askMUSIC’. Predictor variables included: age, weight, co-morbidities, PSA level, Gleason score, number positive biopsy cores, and total biopsy cores sampled. The model, which identifies similar patients in the registry, predicts the likelihood of receiving prostatectomy, radiotherapy, surveillance, androgen deprivation, and watchful waiting. It relies on registry data from 2011-2015 and was validated using multinomial AUC and calibration curves.

Using this data, of the 11,456 men included, 44.7% underwent prostatectomy, 22.0% surveillance, 19.5% radiation, 8.8% androgen deprivation therapy, and 3.6% watchful waiting.

This patient tool is useful in providing insight into treatment choices to support informed decision making. This method will be beneficial in the future in determining both functional and oncologic outcomes to drive patient care.

Presented By: Gregory Auffenberg, MD, MS

Authors: Gregory Auffenberg, Shreyas Ramani, Khurshid Ghani, Brian Denton, Craig Rogers, Benjamin Stockton, David Miller, Karandeep Singh

Institution: Multi-institutional

Written By: David B. Cahn, DO, MBS, Fox Chase Cancer Center
Twitter: @dbcahn

at the 2017 AUA Annual Meeting - May 12 - 16, 2017 – Boston, Massachusetts, USA

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