Objective metrics of patient activity: Use of wearable trackers and patient reported outcomes in predicting unexpected healthcare events in cancer patients undergoing highly emetogenic chemotherapy.

• DOI: 10.1200/jco.2018.36.15_suppl.6519
• Publication Date: 2018-09-05T14:38:26Z
• Authors: Alexander S. Martin; Roger Wilson Boles; Luciano Nocera; Anand Kolatkar; Marcella May; Zaki Hasnain; Naoto T. Ueno; Sriram Yennu; Angela Alexander; Aaron Mejia; Ming Li; Frankie A. Cozzen...; Paul K. Newton; Joan Broderick; Cyrus Shahabi; Peter Kuhn; Jorge J. Nieva
• Keywords: Activity tracker; Metabolic equivalent; Medical record

6519 Background: Functional status and predictors that identify those cancer patients at risk for unplanned hospitalization can have broad implications the health care system clinical trials. We evaluated feasibility of monitoring physical activity (PA) using wearable trackers in on highly emetogenic chemo as well potential correlations between PA healthcare events (UHE) ECOG scores. Methods: This study was conducted a multi-institutional single arm observational trial 65 with solid tumors undergoing based Hesketh classification. measured by analyzing daytime hourly metabolic equivalents (1 MET = resting rate) from 10 AM - 7 PM over 60 days via Microsoft band 2. Patient reported outcome data collected smartphone apps. UHE were review medical records wear plus 90 follow up. Results: Data successfully captured 41 trackers. Patients compliant wearing > 9 total hrs 67.7% days. Only out exhibited hours non-sedentary activity, defined 1.5 METs, 60-day period. Mean step counts/day similar higher lower groups 2564 steps/d 2261 respectively. METs had significantly fewer compared to 32 < (p 0.02). The physician scores no correlation or UHE. Conclusions: In tumor regimens, are feasible profile predicts Incorporation has who need interventions prevent may also predict subset enrolled trials more likely record serious adverse events.